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Posted to commits@parquet.apache.org by gi...@apache.org on 2022/03/16 19:04:33 UTC
[parquet-site] branch asf-staging updated: deploy: 50e2055ffe79ba3c5d5c9294a34d9f2757e1a8af
This is an automated email from the ASF dual-hosted git repository.
github-bot pushed a commit to branch asf-staging
in repository https://gitbox.apache.org/repos/asf/parquet-site.git
The following commit(s) were added to refs/heads/asf-staging by this push:
new caf0db2 deploy: 50e2055ffe79ba3c5d5c9294a34d9f2757e1a8af
caf0db2 is described below
commit caf0db2eb4954510f4f7642accdac11f8b601c52
Author: shangxinli <sh...@users.noreply.github.com>
AuthorDate: Wed Mar 16 19:04:29 2022 +0000
deploy: 50e2055ffe79ba3c5d5c9294a34d9f2757e1a8af
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+ Release manager OpenPGP key OpenPGP signature SHA-512 Downloading from the Maven central repository The Parquet team publishes its releases to Maven Central."><link rel=preload href=/scss/main.min.f24258008619674c862060e44d207ffd589754b695d7d90fce36dbc880379412.css as=style><link href=/scss/main.min.f24258008619674c862060e44d207ffd589754b695d7d90fce36dbc880379412.css rel=stylesheet integrity><script src=https://code.jquery.com/jquery-3.6.0.min.js integrity=sha384-vtXRMe3mGCbOeY7l30aIg8 [...]
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-</header><p>The <a href=https://www.apache.org/dyn/closer.lua/parquet/apache-parquet-1.12.2/apache-parquet-1.12.2.tar.gz>latest version of parquet-mr is 1.12.2</a>.</p><p>To <a href=https://www.apache.org/info/verification.html>check the validity</a> of this release, use its:</p><ul>
-<li><a href=https://downloads.apache.org/parquet/KEYS>Release manager OpenPGP key</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.12.2/apache-parquet-1.12.2.tar.gz.asc>OpenPGP signature</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.12.2/apache-parquet-1.12.2.tar.gz.sha512>SHA-512</a></li></ul><p>The <a href=https://www.apache.org/dyn/closer.lua/parquet/apache-parquet-1.11.2/apache-parquet-1.11.2.tar.gz>latest version of parquet-mr on [...]
-<li><a href=https://downloads.apache.org/parquet/KEYS>Release manager OpenPGP key</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.11.2/apache-parquet-1.11.2.tar.gz.asc>OpenPGP signature</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.11.2/apache-parquet-1.11.2.tar.gz.sha512>SHA-512</a></li></ul><h3 id=downloading-from-the-maven-central-repository>Downloading from the Maven central repository</h3><p>The Parquet team publishes its <a href [...]
+<a id=print href=/blog/parquet-mr/_print/><i class="fa fa-print fa-fw"></i> Print entire section</a></div><div class=td-toc><nav id=TableOfContents><ul><li><ul><li><a href=#downloading-from-the-maven-central-repository>Downloading from the Maven central repository</a></li><li><a href=#older-releases>Older Releases</a></li></ul></li></ul></nav></div></aside><main class="col-12 col-md-9 col-xl-8 pl-md-5 pr-md-4" role=main><a class="btn btn-lg -bg-orange td-rss-button d-none d-lg-block" hre [...]
...
<dependency>
<groupId>org.apache.parquet</groupId>
@@ -119,50 +29,8 @@ RSS <i class="fa fa-rss ml-2"></i>
</dependency>
...
</dependencies>
-</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p><ul class="list-unstyled d-flex justify-content-between align-items-center mb-0 pt-5">
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+</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p><ul class="list-unstyled d-flex justify-content-between align-items-center mb-0 pt-5"><li><a class="btn btn-primary disabled"><span class=mr-1>←</span>Previous</a></li><a class="btn btn-primary disabled">Next<span class=ml-1>→</span></a></li></ul></div></main [...]
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diff --git a/output/blog/2021/10/06/2.9.0/index.html b/output/blog/2021/10/06/2.9.0/index.html
index a31a42e..d706c5a 100644
--- a/output/blog/2021/10/06/2.9.0/index.html
+++ b/output/blog/2021/10/06/2.9.0/index.html
@@ -1,115 +1,26 @@
-<!doctype html><html lang=en class=no-js>
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-<title>2.9.0 | Apache Parquet</title><meta name=description content="The latest version of parquet-format is 2.9.0.
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=generator content="Hugo 0.94.2"><meta name=robots content="index, follow"><link rel="shortcut icon" href=/favicons/favicon.ico><link rel=apple-touch-icon href=/favicons/apple-touch-icon-180x180.png sizes=180x180><link rel=icon type=image/png href=/favicons/favicon-16x16.png sizes=16x16><link rel=icon type=image/png href=/favicons/ [...]
To check the validity of this release, use its:
Release manager OpenPGP key
OpenPGP signature
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-<meta property="og:title" content="2.9.0">
-<meta property="og:description" content="The latest version of parquet-format is 2.9.0.
+SHA-512 …"><meta property="og:title" content="2.9.0"><meta property="og:description" content="The latest version of parquet-format is 2.9.0.
To check the validity of this release, use its:
Release manager OpenPGP key OpenPGP signature SHA-512 Downloading from the Maven central repository The Parquet team publishes its releases to Maven Central.
Add the following dependency section to your pom.xml:
- <dependencies> ... <dependency> <groupId>org.apache.parquet</groupId> <artifactId>parquet-avro</artifactId> <version>1.12.2</version> <!-- or latest version --> </dependency> ... </dependencies> Older Releases Older releases can be found in the Archives of the Apache Software Foundation: https://archive.">
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-<meta itemprop=name content="2.9.0">
-<meta itemprop=description content="The latest version of parquet-format is 2.9.0.
+ <dependencies> ... <dependency> <groupId>org.apache.parquet</groupId> <artifactId>parquet-avro</artifactId> <version>1.12.2</version> <!-- or latest version --> </dependency> ... </dependencies> Older Releases Older releases can be found in the Archives of the Apache Software Foundation: https://archive."><meta property="og:type" content="article"><meta property="og:url" content="/blog/2021/10/06/2.9.0/"><meta property="article:section" content="blog"><meta property="article:published_t [...]
To check the validity of this release, use its:
Release manager OpenPGP key OpenPGP signature SHA-512 Downloading from the Maven central repository The Parquet team publishes its releases to Maven Central.
Add the following dependency section to your pom.xml:
- <dependencies> ... <dependency> <groupId>org.apache.parquet</groupId> <artifactId>parquet-avro</artifactId> <version>1.12.2</version> <!-- or latest version --> </dependency> ... </dependencies> Older Releases Older releases can be found in the Archives of the Apache Software Foundation: https://archive."><meta itemprop=datePublished content="2021-10-06T00:00:00+00:00">
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-<meta itemprop=wordCount content="76">
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-<meta name=twitter:title content="2.9.0">
-<meta name=twitter:description content="The latest version of parquet-format is 2.9.0.
+ <dependencies> ... <dependency> <groupId>org.apache.parquet</groupId> <artifactId>parquet-avro</artifactId> <version>1.12.2</version> <!-- or latest version --> </dependency> ... </dependencies> Older Releases Older releases can be found in the Archives of the Apache Software Foundation: https://archive."><meta itemprop=datePublished content="2021-10-06T00:00:00+00:00"><meta itemprop=dateModified content="2022-03-08T09:20:44-05:00"><meta itemprop=wordCount content="76"><meta itemprop=ke [...]
To check the validity of this release, use its:
Release manager OpenPGP key OpenPGP signature SHA-512 Downloading from the Maven central repository The Parquet team publishes its releases to Maven Central.
Add the following dependency section to your pom.xml:
- <dependencies> ... <dependency> <groupId>org.apache.parquet</groupId> <artifactId>parquet-avro</artifactId> <version>1.12.2</version> <!-- or latest version --> </dependency> ... </dependencies> Older Releases Older releases can be found in the Archives of the Apache Software Foundation: https://archive.">
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+ <dependencies> ... <dependency> <groupId>org.apache.parquet</groupId> <artifactId>parquet-avro</artifactId> <version>1.12.2</version> <!-- or latest version --> </dependency> ... </dependencies> Older Releases Older releases can be found in the Archives of the Apache Software Foundation: https://archive."><link rel=preload href=/scss/main.min.f24258008619674c862060e44d207ffd589754b695d7d90fce36dbc880379412.css as=style><link href=/scss/main.min.f24258008619674c862060e44d207ffd589754b695 [...]
+<button class="btn btn-link td-sidebar__toggle d-md-none p-0 ml-3 fas fa-bars" type=button data-toggle=collapse data-target=#td-section-nav aria-controls=td-docs-nav aria-expanded=false aria-label="Toggle section navigation"></button></form><nav class="collapse td-sidebar-nav" id=td-section-nav><ul class="td-sidebar-nav__section pr-md-3 ul-0"><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child active-path" id=m-blog-li><a href=/blog/ class="align-left pl-0 td-side [...]
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-</div><header class=article-meta>
-</header><p>The <a href=https://www.apache.org/dyn/closer.lua/parquet/apache-parquet-format-2.9.0/apache-parquet-format-2.9.0.tar.gz>latest version of parquet-format is 2.9.0</a>.</p><p>To <a href=https://www.apache.org/info/verification.html>check the validity</a> of this release, use its:</p><ul>
-<li><a href=https://downloads.apache.org/parquet/KEYS>Release manager OpenPGP key</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-format-2.9.0/apache-parquet-format-2.9.0.tar.gz.asc>OpenPGP signature</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-format-2.9.0/apache-parquet-format-2.9.0.tar.gz.sha512>SHA-512</a></li></ul><h3 id=downloading-from-the-maven-central-repository>Downloading from the Maven central repository</h3><p>The Parquet te [...]
+<a id=print href=/blog/parquet-format/_print/><i class="fa fa-print fa-fw"></i> Print entire section</a></div><div class=td-toc><nav id=TableOfContents><ul><li><ul><li><a href=#downloading-from-the-maven-central-repository>Downloading from the Maven central repository</a></li><li><a href=#older-releases>Older Releases</a></li></ul></li></ul></nav></div></aside><main class="col-12 col-md-9 col-xl-8 pl-md-5 pr-md-4" role=main><a class="btn btn-lg -bg-orange td-rss-button d-none d-lg-block" [...]
...
<dependency>
<groupId>org.apache.parquet</groupId>
@@ -118,50 +29,8 @@ RSS <i class="fa fa-rss ml-2"></i>
</dependency>
...
</dependencies>
-</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p><ul class="list-unstyled d-flex justify-content-between align-items-center mb-0 pt-5">
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+</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p><ul class="list-unstyled d-flex justify-content-between align-items-center mb-0 pt-5"><li><a class="btn btn-primary disabled"><span class=mr-1>←</span>Previous</a></li><a class="btn btn-primary disabled">Next<span class=ml-1>→</span></a></li></ul></div></main [...]
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diff --git a/output/blog/_print/index.html b/output/blog/_print/index.html
index 451de93..b67a784 100644
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-This is the multi-page printable view of this section.
-<a href=# onclick="return print(),!1">Click here to print</a>.
-</p><p>
-<a href=/blog/>Return to the regular view of this page</a>.
-</p></div><h1 class=title>Release</h1><ul>
-<li><a href=#pg-a9373d016caafc4ca68331dc6fa974ca>Parquet Format Releases</a></li><ul>
-<li><a href=#pg-e942f5058827113b1d4e123b925d385b>2.9.0</a></li></ul><li><a href=#pg-94b71b3e66b7e5fc81746c2eec198021>Parquet-mr Releases</a></li><ul>
-<li><a href=#pg-246a573857c6b7e4c29280efba8e8a61>1.12.2</a></li></ul></ul><div class=content>
-</div></div><div class=td-content>
-<h1 id=pg-a9373d016caafc4ca68331dc6fa974ca>Parquet Format Releases</h1><div class="td-byline mb-4">
-</div></div><div class=td-content>
-<h1 id=pg-e942f5058827113b1d4e123b925d385b>2.9.0</h1><div class="td-byline mb-4">
-<time datetime=2021-10-06 class=text-muted>Wednesday, October 06, 2021</time>
-</div><p>The <a href=https://www.apache.org/dyn/closer.lua/parquet/apache-parquet-format-2.9.0/apache-parquet-format-2.9.0.tar.gz>latest version of parquet-format is 2.9.0</a>.</p><p>To <a href=https://www.apache.org/info/verification.html>check the validity</a> of this release, use its:</p><ul>
-<li><a href=https://downloads.apache.org/parquet/KEYS>Release manager OpenPGP key</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-format-2.9.0/apache-parquet-format-2.9.0.tar.gz.asc>OpenPGP signature</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-format-2.9.0/apache-parquet-format-2.9.0.tar.gz.sha512>SHA-512</a></li></ul><h3 id=downloading-from-the-maven-central-repository>Downloading from the Maven central repository</h3><p>The Parquet te [...]
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=generator content="Hugo 0.94.2"><link rel=canonical type=text/html href=/blog/><link rel=alternate type=application/rss+xml href=/blog/index.xml><meta name=robots content="noindex, nofollow"><link rel="shortcut icon" href=/favicons/favicon.ico><link rel=apple-touch-icon href=/favicons/apple-touch-icon-180x180.png sizes=180x180><li [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/blog/>Return to the regular view of this page</a>.</p></div><h1 class=title>Release</h1><ul><li><a href=#pg-a9373d016caafc4ca68331dc6fa974ca>Parquet Format Releases</a></li><ul><li><a href=#pg-e942f5058827113b1d4e123b925d385b>2.9.0</a></li></ul><li><a href=#pg-94b71b3e66b7e5fc81746c2eec198021>Parquet-mr Releases</a></li><ul><li><a href=#pg-246a573857c6b7e4c29280efba8e8a61>1.12.2</a></li></ul></ul><div class=con [...]
...
<dependency>
<groupId>org.apache.parquet</groupId>
@@ -77,14 +8,7 @@ This is the multi-page printable view of this section.
</dependency>
...
</dependencies>
-</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-94b71b3e66b7e5fc81746c2eec198021>Parquet-mr Releases</h1><div class="td-byline mb-4">
-</div></div><div class=td-content>
-<h1 id=pg-246a573857c6b7e4c29280efba8e8a61>1.12.2</h1><div class="td-byline mb-4">
-<time datetime=2021-10-06 class=text-muted>Wednesday, October 06, 2021</time>
-</div><p>The <a href=https://www.apache.org/dyn/closer.lua/parquet/apache-parquet-1.12.2/apache-parquet-1.12.2.tar.gz>latest version of parquet-mr is 1.12.2</a>.</p><p>To <a href=https://www.apache.org/info/verification.html>check the validity</a> of this release, use its:</p><ul>
-<li><a href=https://downloads.apache.org/parquet/KEYS>Release manager OpenPGP key</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.12.2/apache-parquet-1.12.2.tar.gz.asc>OpenPGP signature</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.12.2/apache-parquet-1.12.2.tar.gz.sha512>SHA-512</a></li></ul><p>The <a href=https://www.apache.org/dyn/closer.lua/parquet/apache-parquet-1.11.2/apache-parquet-1.11.2.tar.gz>latest version of parquet-mr on [...]
-<li><a href=https://downloads.apache.org/parquet/KEYS>Release manager OpenPGP key</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.11.2/apache-parquet-1.11.2.tar.gz.asc>OpenPGP signature</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.11.2/apache-parquet-1.11.2.tar.gz.sha512>SHA-512</a></li></ul><h3 id=downloading-from-the-maven-central-repository>Downloading from the Maven central repository</h3><p>The Parquet team publishes its <a href [...]
+</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p></div><div class=td-content style=page-break-before:always><h1 id=pg-94b71b3e66b7e5fc81746c2eec198021>Parquet-mr Releases</h1><div class="td-byline mb-4"></div></div><div class=td-content><h1 id=pg-246a573857c6b7e4c29280efba8e8a61>1.12.2</h1><div class="td-by [...]
...
<dependency>
<groupId>org.apache.parquet</groupId>
@@ -93,46 +17,8 @@ This is the multi-page printable view of this section.
</dependency>
...
</dependencies>
-</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p></div></main></div></div><footer class="bg-dark py-5 row d-print-none">
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+</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p></div></main></div></div><footer class="bg-dark py-5 row d-print-none"><div class="container-fluid mx-sm-5"><div class=row><div class="col-6 col-sm-4 text-xs-center order-sm-2"><ul class="list-inline mb-0"><li class="list-inline-item mx-2 h3" data-toggle=tool [...]
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-</header><p class="pt-0 mt-0">The latest version of parquet-mr is 1.12.2.
+Release manager OpenPGP key OpenPGP signature SHA-512 Downloading from the Maven central repository The Parquet team publishes its releases to Maven …</p><p class=pt-0><a href=/blog/2021/10/06/2.9.0/ aria-label="Read more - 2.9.0">Read more</a></p></div></li><li class="media mb-4"><div class=media-body><h5 class="mt-0 mb-1"><a href=/blog/2021/10/06/1.12.2/>1.12.2</a></h5><p class="mb-2 mb-md-3"><small class=text-muted>Wednesday, October 06, 2021 in parquet-mr</small></p><header class=art [...]
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-</p></div><h1 class=title>Parquet Format Releases</h1><ul>
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-<h1 id=pg-e942f5058827113b1d4e123b925d385b>2.9.0</h1><div class="td-byline mb-4">
-<time datetime=2021-10-06 class=text-muted>Wednesday, October 06, 2021</time>
-</div><p>The <a href=https://www.apache.org/dyn/closer.lua/parquet/apache-parquet-format-2.9.0/apache-parquet-format-2.9.0.tar.gz>latest version of parquet-format is 2.9.0</a>.</p><p>To <a href=https://www.apache.org/info/verification.html>check the validity</a> of this release, use its:</p><ul>
-<li><a href=https://downloads.apache.org/parquet/KEYS>Release manager OpenPGP key</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-format-2.9.0/apache-parquet-format-2.9.0.tar.gz.asc>OpenPGP signature</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-format-2.9.0/apache-parquet-format-2.9.0.tar.gz.sha512>SHA-512</a></li></ul><h3 id=downloading-from-the-maven-central-repository>Downloading from the Maven central repository</h3><p>The Parquet te [...]
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+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/blog/parquet-format/>Return to the regular view of this page</a>.</p></div><h1 class=title>Parquet Format Releases</h1><ul><li><a href=#pg-e942f5058827113b1d4e123b925d385b>2.9.0</a></li></ul><div class=content></div></div><div class=td-content><h1 id=pg-e942f5058827113b1d4e123b925d385b>2.9.0</h1><div class="td-byline mb-4"><time datetime=2021-10-06 class=text-muted>Wednesday, October 06, 2021</time></div><p>The [...]
...
<dependency>
<groupId>org.apache.parquet</groupId>
@@ -73,46 +8,8 @@ This is the multi-page printable view of this section.
</dependency>
...
</dependencies>
-</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p></div></main></div></div><footer class="bg-dark py-5 row d-print-none">
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+</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p></div></main></div></div><footer class="bg-dark py-5 row d-print-none"><div class="container-fluid mx-sm-5"><div class=row><div class="col-6 col-sm-4 text-xs-center order-sm-2"><ul class="list-inline mb-0"><li class="list-inline-item mx-2 h3" data-toggle=tool [...]
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index be293b6..4676645 100644
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+Release manager OpenPGP key OpenPGP signature SHA-512 Downloading from the Maven central repository The Parquet team publishes its releases to Maven …</p><p class=pt-0><a href=/blog/2021/10/06/2.9.0/ aria-label="Read more - 2.9.0">Read more</a></p></div></li></ul></div></div><div class="row pl-2 pt-2"><div class=col></div></div></main></div></div><footer class="bg-dark py-5 row d-print-none"><div class="container-fluid mx-sm-5"><div class=row><div class="col-6 col-sm-4 text-xs-center ord [...]
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diff --git a/output/blog/parquet-format/page/1/index.html b/output/blog/parquet-format/page/1/index.html
index 042f9dc..d23e9a5 100644
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+++ b/output/blog/parquet-format/page/1/index.html
@@ -1 +1 @@
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\ No newline at end of file
+<!doctype html><html lang=en><head><title>/blog/parquet-format/</title><link rel=canonical href=/blog/parquet-format/><meta name=robots content="noindex"><meta charset=utf-8><meta http-equiv=refresh content="0; url=/blog/parquet-format/"></head></html>
\ No newline at end of file
diff --git a/output/blog/parquet-mr/_print/index.html b/output/blog/parquet-mr/_print/index.html
index db004fb..ec991d7 100644
--- a/output/blog/parquet-mr/_print/index.html
+++ b/output/blog/parquet-mr/_print/index.html
@@ -1,71 +1,5 @@
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-<div class=td-content>
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-<p>
-This is the multi-page printable view of this section.
-<a href=# onclick="return print(),!1">Click here to print</a>.
-</p><p>
-<a href=/blog/parquet-mr/>Return to the regular view of this page</a>.
-</p></div><h1 class=title>Parquet-mr Releases</h1><ul>
-<li><a href=#pg-246a573857c6b7e4c29280efba8e8a61>1.12.2</a></li></ul><div class=content>
-</div></div><div class=td-content>
-<h1 id=pg-246a573857c6b7e4c29280efba8e8a61>1.12.2</h1><div class="td-byline mb-4">
-<time datetime=2021-10-06 class=text-muted>Wednesday, October 06, 2021</time>
-</div><p>The <a href=https://www.apache.org/dyn/closer.lua/parquet/apache-parquet-1.12.2/apache-parquet-1.12.2.tar.gz>latest version of parquet-mr is 1.12.2</a>.</p><p>To <a href=https://www.apache.org/info/verification.html>check the validity</a> of this release, use its:</p><ul>
-<li><a href=https://downloads.apache.org/parquet/KEYS>Release manager OpenPGP key</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.12.2/apache-parquet-1.12.2.tar.gz.asc>OpenPGP signature</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.12.2/apache-parquet-1.12.2.tar.gz.sha512>SHA-512</a></li></ul><p>The <a href=https://www.apache.org/dyn/closer.lua/parquet/apache-parquet-1.11.2/apache-parquet-1.11.2.tar.gz>latest version of parquet-mr on [...]
-<li><a href=https://downloads.apache.org/parquet/KEYS>Release manager OpenPGP key</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.11.2/apache-parquet-1.11.2.tar.gz.asc>OpenPGP signature</a></li><li><a href=https://downloads.apache.org/parquet/apache-parquet-1.11.2/apache-parquet-1.11.2.tar.gz.sha512>SHA-512</a></li></ul><h3 id=downloading-from-the-maven-central-repository>Downloading from the Maven central repository</h3><p>The Parquet team publishes its <a href [...]
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=generator content="Hugo 0.94.2"><link rel=canonical type=text/html href=/blog/parquet-mr/><link rel=alternate type=application/rss+xml href=/blog/parquet-mr/index.xml><meta name=robots content="noindex, nofollow"><link rel="shortcut icon" href=/favicons/favicon.ico><link rel=apple-touch-icon href=/favicons/apple-touch-icon-180x180 [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/blog/parquet-mr/>Return to the regular view of this page</a>.</p></div><h1 class=title>Parquet-mr Releases</h1><ul><li><a href=#pg-246a573857c6b7e4c29280efba8e8a61>1.12.2</a></li></ul><div class=content></div></div><div class=td-content><h1 id=pg-246a573857c6b7e4c29280efba8e8a61>1.12.2</h1><div class="td-byline mb-4"><time datetime=2021-10-06 class=text-muted>Wednesday, October 06, 2021</time></div><p>The <a hr [...]
...
<dependency>
<groupId>org.apache.parquet</groupId>
@@ -74,46 +8,8 @@ This is the multi-page printable view of this section.
</dependency>
...
</dependencies>
-</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p></div></main></div></div><footer class="bg-dark py-5 row d-print-none">
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+</code></pre><h3 id=older-releases>Older Releases</h3><p>Older releases can be found in the Archives of the Apache Software Foundation: <a href=https://archive.apache.org/dist/parquet/>https://archive.apache.org/dist/parquet/</a></p></div></main></div></div><footer class="bg-dark py-5 row d-print-none"><div class="container-fluid mx-sm-5"><div class=row><div class="col-6 col-sm-4 text-xs-center order-sm-2"><ul class="list-inline mb-0"><li class="list-inline-item mx-2 h3" data-toggle=tool [...]
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diff --git a/output/blog/parquet-mr/index.html b/output/blog/parquet-mr/index.html
index 351d04e..001ca37 100644
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To check the validity of this release, use its:
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-<p>
-This is the multi-page printable view of this section.
-<a href=# onclick="return print(),!1">Click here to print</a>.
-</p><p>
-<a href=/docs/>Return to the regular view of this page</a>.
-</p></div><h1 class=title>Documentation</h1><ul>
-<li>1: <a href=#pg-6e17e09fffc1050f46600282def85180>Overview</a></li><ul>
-<li>1.1: <a href=#pg-2e5324b574579d3eb78ce816487d9e18>Motivation</a></li></ul><li>2: <a href=#pg-fcf6186c3c17ed7f2e8577136109a520>Concepts</a></li><ul>
-</ul><li>3: <a href=#pg-52ee54aeff1ffc82031ec74e9a626eba>File Format</a></li><ul>
-<li>3.1: <a href=#pg-de128b03a7277c17c6dec2cef97af32d>Configurations</a></li><li>3.2: <a href=#pg-6762d78210357c1df172dfddcc6fd307>Extensibility</a></li><li>3.3: <a href=#pg-e1f24cbf7bc8c4ddd1cc8213993795a7>Metadata</a></li><li>3.4: <a href=#pg-140f2d6d5609da0af9dcaa92233086b5>Types</a></li><ul>
-<li>3.4.1: <a href=#pg-967cf8be84f5efbfd2e57475707b79b1>Logical Types</a></li></ul><li>3.5: <a href=#pg-0d8efcf7d4835e2ce724ae57b02d4318>Nested Encoding</a></li><li>3.6: <a href=#pg-cfdfda4ee78f351464c0ddf31e278a88>Data Pages</a></li><ul>
-<li>3.6.1: <a href=#pg-9aa971e751fdd370158d525ad337ef7a>Encodings</a></li><li>3.6.2: <a href=#pg-e4790b30bda91ce23679bbaa9c652cd0>Checksumming</a></li><li>3.6.3: <a href=#pg-d84ba941c88c28699d637073c804ef79>Column Chunks</a></li><li>3.6.4: <a href=#pg-3fa634598323d0f5132aedfc3988d28f>Error Recovery</a></li></ul><li>3.7: <a href=#pg-2c0e785302c1130bf2c45e6faa8aa18f>Nulls</a></li></ul><li>4: <a href=#pg-68f9113b50693620ee9892f038d4139b>Developer Guide</a></li><ul>
-<li>4.1: <a href=#pg-f674d9b9519c822d1a39419a8e9167a5>Modules</a></li><li>4.2: <a href=#pg-0fc7677c5a8dcd5250334bbf678cb165>Building Parquet</a></li><li>4.3: <a href=#pg-47cac26307c77b16f1b9e75c1e46efec>Contributing to Parquet</a></li><li>4.4: <a href=#pg-d65ca0c6c1ffbeb20627c4d33e7e3dc4>Releasing Parquet</a></li></ul><li>5: <a href=#pg-84bc70d5f3df0dfce176f8761d95e996>Resources</a></li><ul>
-<li>5.1: <a href=#pg-801f7ca6269b0aaf25135cfa64c20726>Spark Summit 2020</a></li><li>5.2: <a href=#pg-c155faf069b9c5029e4560f489e2b59a>Hadoop Summit 2014</a></li><li>5.3: <a href=#pg-5f74f8d91a37e08ed38543674341f5f1>#CONF 2014</a></li><li>5.4: <a href=#pg-58d5015470836697556d426225229bbe>Strata 2013</a></li></ul></ul><div class=content>
-<p>Welcome to the documentation for Apache Parquet. Here, you can find information about the Parquet File Format, including specifications and developer resources.</p></div></div><div class=td-content>
-<h1 id=pg-6e17e09fffc1050f46600282def85180>1 - Overview</h1><div class=lead>All about Parquet.</div><p>Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.</p></div><div class=td-content>
-<h1 id=pg-2e5324b574579d3eb78ce816487d9e18>1.1 - Motivation</h1><p>We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem.</p><p>Parquet is built from the ground up with complex nested data structures in mind, and uses the <a href=https://github.com/julienledem/redelm/wiki/The-striping-and-assembly-algorithms-from-the-Dremel-paper>record shredding and assembly algorithm</a> described in the Dremel p [...]
-<h1 id=pg-fcf6186c3c17ed7f2e8577136109a520>2 - Concepts</h1><div class=lead>Glossary of relevant terminology.</div><p><em>Block (hdfs block)</em>: This means a block in hdfs and the meaning is unchanged for describing this file format. The file format is designed to work well on top of hdfs.</p><p><em>File</em>: A hdfs file that must include the metadata for the file. It does not need to actually contain the data.</p><p><em>Row group</em>: A logical horizontal partitioning of the data in [...]
-<li>MapReduce - File/Row Group</li><li>IO - Column chunk</li><li>Encoding/Compression - Page</li></ul></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-52ee54aeff1ffc82031ec74e9a626eba>3 - File Format</h1><div class=lead>Documentation about the Parquet File Format.</div><p>This file and the thrift definition should be read together to understand the format.</p><pre tabindex=0><code>4-byte magic number "PAR1"
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=generator content="Hugo 0.94.2"><link rel=canonical type=text/html href=/docs/><link rel=alternate type=application/rss+xml href=/docs/index.xml><meta name=robots content="noindex, nofollow"><link rel="shortcut icon" href=/favicons/favicon.ico><link rel=apple-touch-icon href=/favicons/apple-touch-icon-180x180.png sizes=180x180><li [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/docs/>Return to the regular view of this page</a>.</p></div><h1 class=title>Documentation</h1><ul><li>1: <a href=#pg-6e17e09fffc1050f46600282def85180>Overview</a></li><ul><li>1.1: <a href=#pg-2e5324b574579d3eb78ce816487d9e18>Motivation</a></li></ul><li>2: <a href=#pg-fcf6186c3c17ed7f2e8577136109a520>Concepts</a></li><ul></ul><li>3: <a href=#pg-52ee54aeff1ffc82031ec74e9a626eba>File Format</a></li><ul><li>3.1: <a [...]
<Column 1 Chunk 1 + Column Metadata>
<Column 2 Chunk 1 + Column Metadata>
...
@@ -87,28 +16,18 @@ This is the multi-page printable view of this section.
File Metadata
4-byte length in bytes of file metadata
4-byte magic number "PAR1"
-</code></pre><p>In the above example, there are N columns in this table, split into M row groups. The file metadata contains the locations of all the column metadata start locations. More details on what is contained in the metadata can be found in the thrift files.</p><p>Metadata is written after the data to allow for single pass writing.</p><p>Readers are expected to first read the file metadata to find all the column chunks they are interested in. The columns chunks should then be rea [...]
-<h1 id=pg-de128b03a7277c17c6dec2cef97af32d>3.1 - Configurations</h1><h3 id=row-group-size>Row Group Size</h3><p>Larger row groups allow for larger column chunks which makes it possible to do larger sequential IO. Larger groups also require more buffering in the write path (or a two pass write). We recommend large row groups (512MB - 1GB). Since an entire row group might need to be read, we want it to completely fit on one HDFS block. Therefore, HDFS block sizes should also be set to be l [...]
-<h1 id=pg-6762d78210357c1df172dfddcc6fd307>3.2 - Extensibility</h1><p>There are many places in the format for compatible extensions:</p><p>File Version: The file metadata contains a version.
+</code></pre><p>In the above example, there are N columns in this table, split into M row groups. The file metadata contains the locations of all the column metadata start locations. More details on what is contained in the metadata can be found in the thrift files.</p><p>Metadata is written after the data to allow for single pass writing.</p><p>Readers are expected to first read the file metadata to find all the column chunks they are interested in. The columns chunks should then be rea [...]
Encodings: Encodings are specified by enum and more can be added in the future.
-Page types: Additional page types can be added and safely skipped.</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-e1f24cbf7bc8c4ddd1cc8213993795a7>3.3 - Metadata</h1><p>There are three types of metadata: file metadata, column (chunk) metadata and page header metadata. All thrift structures are serialized using the TCompactProtocol.</p><p><img src=/images/FileFormat.gif alt="File Layout"></p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-140f2d6d5609da0af9dcaa92233086b5>3.4 - Types</h1><p>The types supported by the file format are intended to be as minimal as possible, with a focus on how the types effect on disk storage. For example, 16-bit ints are not explicitly supported in the storage format since they are covered by 32-bit ints with an efficient encoding. This reduces the complexity of implementing readers and writers for the format. The types are:</p><pre tabindex=0><code>BOOLEAN: 1 bit boolean
+Page types: Additional page types can be added and safely skipped.</p></div><div class=td-content style=page-break-before:always><h1 id=pg-e1f24cbf7bc8c4ddd1cc8213993795a7>3.3 - Metadata</h1><p>There are three types of metadata: file metadata, column (chunk) metadata and page header metadata. All thrift structures are serialized using the TCompactProtocol.</p><p><img src=/images/FileFormat.gif alt="File Layout"></p></div><div class=td-content style=page-break-before:always><h1 id=pg-140f [...]
INT32: 32 bit signed ints
INT64: 64 bit signed ints
INT96: 96 bit signed ints
FLOAT: IEEE 32-bit floating point values
DOUBLE: IEEE 64-bit floating point values
BYTE_ARRAY: arbitrarily long byte arrays.
-</code></pre></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-967cf8be84f5efbfd2e57475707b79b1>3.4.1 - Logical Types</h1><p>Logical types are used to extend the types that parquet can be used to store, by specifying how the primitive types should be interpreted. This keeps the set of primitive types to a minimum and reuses parquet’s efficient encodings. For example, strings are stored as byte arrays (binary) with a UTF8 annotation. These annotations define how to further decode and interpret the data. Annotations are stored as a Converted [...]
-<h1 id=pg-0d8efcf7d4835e2ce724ae57b02d4318>3.5 - Nested Encoding</h1><p>To encode nested columns, Parquet uses the Dremel encoding with definition and repetition levels. Definition levels specify how many optional fields in the path for the column are defined. Repetition levels specify at what repeated field in the path has the value repeated. The max definition and repetition levels can be computed from the schema (i.e. how much nesting there is). This defines the maximum number of bits [...]
-<h1 id=pg-cfdfda4ee78f351464c0ddf31e278a88>3.6 - Data Pages</h1><p>For data pages, the 3 pieces of information are encoded back to back, after the page header. We have the</p><ul>
-<li>definition levels data,</li><li>repetition levels data,</li><li>encoded values. The size of specified in the header is for all 3 pieces combined.</li></ul><p>The data for the data page is always required. The definition and repetition levels are optional, based on the schema definition. If the column is not nested (i.e. the path to the column has length 1), we do not encode the repetition levels (it would always have the value 1). For data that is required, the definition levels are [...]
-<h1 id=pg-9aa971e751fdd370158d525ad337ef7a>3.6.1 - Encodings</h1><h3 id=a-nameplainaplain-plain--0><a name=PLAIN></a>Plain: (PLAIN = 0)</h3><p>Supported Types: all</p><p>This is the plain encoding that must be supported for types. It is
+</code></pre></div><div class=td-content style=page-break-before:always><h1 id=pg-967cf8be84f5efbfd2e57475707b79b1>3.4.1 - Logical Types</h1><p>Logical types are used to extend the types that parquet can be used to store, by specifying how the primitive types should be interpreted. This keeps the set of primitive types to a minimum and reuses parquet’s efficient encodings. For example, strings are stored as byte arrays (binary) with a UTF8 annotation. These annotations define how to furt [...]
intended to be the simplest encoding. Values are encoded back to back.</p><p>The plain encoding is used whenever a more efficient encoding can not be used. It
-stores the data in the following format:</p><ul>
-<li>BOOLEAN: <a href=#RLE>Bit Packed</a>, LSB first</li><li>INT32: 4 bytes little endian</li><li>INT64: 8 bytes little endian</li><li>INT96: 12 bytes little endian (deprecated)</li><li>FLOAT: 4 bytes IEEE little endian</li><li>DOUBLE: 8 bytes IEEE little endian</li><li>BYTE_ARRAY: length in 4 bytes little endian followed by the bytes contained in the array</li><li>FIXED_LEN_BYTE_ARRAY: the bytes contained in the array</li></ul><p>For native types, this outputs the data as little endian. [...]
+stores the data in the following format:</p><ul><li>BOOLEAN: <a href=#RLE>Bit Packed</a>, LSB first</li><li>INT32: 4 bytes little endian</li><li>INT64: 8 bytes little endian</li><li>INT96: 12 bytes little endian (deprecated)</li><li>FLOAT: 4 bytes IEEE little endian</li><li>DOUBLE: 8 bytes IEEE little endian</li><li>BYTE_ARRAY: length in 4 bytes little endian followed by the bytes contained in the array</li><li>FIXED_LEN_BYTE_ARRAY: the bytes contained in the array</li></ul><p>For native [...]
point types are encoded in IEEE.</p><p>For the byte array type, it encodes the length as a 4 byte little
endian, followed by the bytes.</p><h3 id=dictionary-encoding-plain_dictionary--2-and-rle_dictionary--8>Dictionary Encoding (PLAIN_DICTIONARY = 2 and RLE_DICTIONARY = 8)</h3><p>The dictionary encoding builds a dictionary of values encountered in a given column. The
dictionary will be stored in a dictionary page per column chunk. The values are stored as integers
@@ -130,9 +49,7 @@ rle-run := <rle-header> <repeated-value>
rle-header := varint-encode( (rle-run-len) << 1)
rle-run-len := *see 3 below*
repeated-value := value that is repeated, using a fixed-width of round-up-to-next-byte(bit-width)
-</code></pre><ol>
-<li>
-<p>The bit-packing here is done in a different order than the one in the <a href=#BITPACKED>deprecated bit-packing</a> encoding.
+</code></pre><ol><li><p>The bit-packing here is done in a different order than the one in the <a href=#BITPACKED>deprecated bit-packing</a> encoding.
The values are packed from the least significant bit of each byte to the most significant bit,
though the order of the bits in each value remains in the usual order of most significant to least
significant. For example, to pack the same values as the example in the deprecated encoding above:</p><p>The numbers 1 through 7 using bit width 3:</p><pre tabindex=0><code>dec value: 0 1 2 3 4 5 6 7
@@ -144,15 +61,12 @@ bit label: HIDEFABC RMNOJKLG VWXSTUPQ
when deserializing more than one byte at at time. This is because 4 bytes can be read into a
32 bit register (or 8 bytes into a 64 bit register) and values can be unpacked just by
shifting and ORing with a mask. (to make this optimization work on a big-endian machine,
-you would have to use the ordering used in the <a href=#BITPACKED>deprecated bit-packing</a> encoding)</p></li><li>
-<p>varint-encode() is ULEB-128 encoding, see <a href=https://en.wikipedia.org/wiki/LEB128>https://en.wikipedia.org/wiki/LEB128</a></p></li><li>
-<p>bit-packed-run-len and rle-run-len must be in the range [1, 2<sup>31</sup> - 1].
+you would have to use the ordering used in the <a href=#BITPACKED>deprecated bit-packing</a> encoding)</p></li><li><p>varint-encode() is ULEB-128 encoding, see <a href=https://en.wikipedia.org/wiki/LEB128>https://en.wikipedia.org/wiki/LEB128</a></p></li><li><p>bit-packed-run-len and rle-run-len must be in the range [1, 2<sup>31</sup> - 1].
This means that a Parquet implementation can always store the run length in a signed
32-bit integer. This length restriction was not part of the Parquet 2.5.0 and earlier
specifications, but longer runs were not readable by the most common Parquet
implementations so, in practice, were not safe for Parquet writers to emit.</p></li></ol><p>Note that the RLE encoding method is only supported for the following types of
-data:</p><ul>
-<li>Repetition and definition levels</li><li>Dictionary indices</li><li>Boolean values in data pages, as an alternative to PLAIN encoding</li></ul><h3 id=a-namebitpackedabit-packed-deprecated-bit_packed--4><a name=BITPACKED></a>Bit-packed (Deprecated) (BIT_PACKED = 4)</h3><p>This is a bit-packed only encoding, which is deprecated and will be replaced by the <a href=#RLE>RLE/bit-packing</a> hybrid encoding.
+data:</p><ul><li>Repetition and definition levels</li><li>Dictionary indices</li><li>Boolean values in data pages, as an alternative to PLAIN encoding</li></ul><h3 id=a-namebitpackedabit-packed-deprecated-bit_packed--4><a name=BITPACKED></a>Bit-packed (Deprecated) (BIT_PACKED = 4)</h3><p>This is a bit-packed only encoding, which is deprecated and will be replaced by the <a href=#RLE>RLE/bit-packing</a> hybrid encoding.
Each value is encoded back to back using a fixed width.
There is no padding between values (except for the last byte) which is padded with 0s.
For example, if the max repetition level was 3 (2 bits) and the max definition level as 3
@@ -165,14 +79,8 @@ bit label: ABC DEF GHI JKL MNO PQR STU VWX
bit label: ABCDEFGH IJKLMNOP QRSTUVWX
</code></pre><p>Note that the BIT_PACKED encoding method is only supported for encoding
repetition and definition levels.</p><h3 id=a-namedeltaencadelta-encoding-delta_binary_packed--5><a name=DELTAENC></a>Delta Encoding (DELTA_BINARY_PACKED = 5)</h3><p>Supported Types: INT32, INT64</p><p>This encoding is adapted from the Binary packing described in <a href=http://arxiv.org/pdf/1209.2137v5.pdf>“Decoding billions of integers per second through vectorization”</a> by D. Lemire and L. Boytsov.</p><p>In delta encoding we make use of variable length integers for stori [...]
-</code></pre><ul>
-<li>the block size is a multiple of 128; it is stored as a ULEB128 int</li><li>the miniblock count per block is a divisor of the block size such that their quotient, the number of values in a miniblock, is a multiple of 32; it is stored as a ULEB128 int</li><li>the total value count is stored as a ULEB128 int</li><li>the first value is stored as a zigzag ULEB128 int</li></ul><p>Each block contains</p><pre tabindex=0><code><min delta> <list of bitwidths of miniblocks> <mini [...]
-</code></pre><ul>
-<li>the min delta is a zigzag ULEB128 int (we compute a minimum as we need positive integers for bit packing)</li><li>the bitwidth of each block is stored as a byte</li><li>each miniblock is a list of bit packed ints according to the bit width stored at the begining of the block</li></ul><p>To encode a block, we will:</p><ol>
-<li>
-<p>Compute the differences between consecutive elements. For the first element in the block, use the last element in the previous block or, in the case of the first block, use the first value of the whole sequence, stored in the header.</p></li><li>
-<p>Compute the frame of reference (the minimum of the deltas in the block). Subtract this min delta from all deltas in the block. This guarantees that all values are non-negative.</p></li><li>
-<p>Encode the frame of reference (min delta) as a zigzag ULEB128 int followed by the bit widths of the miniblocks and the delta values (minus the min delta) bit packed per miniblock.</p></li></ol><p>Having multiple blocks allows us to adapt to changes in the data by changing the frame of reference (the min delta) which can result in smaller values after the subtraction which, again, means we can store them with a lower bit width.</p><p>If there are not enough values to fill the last mini [...]
+</code></pre><ul><li>the block size is a multiple of 128; it is stored as a ULEB128 int</li><li>the miniblock count per block is a divisor of the block size such that their quotient, the number of values in a miniblock, is a multiple of 32; it is stored as a ULEB128 int</li><li>the total value count is stored as a ULEB128 int</li><li>the first value is stored as a zigzag ULEB128 int</li></ul><p>Each block contains</p><pre tabindex=0><code><min delta> <list of bitwidths of minibl [...]
+</code></pre><ul><li>the min delta is a zigzag ULEB128 int (we compute a minimum as we need positive integers for bit packing)</li><li>the bitwidth of each block is stored as a byte</li><li>each miniblock is a list of bit packed ints according to the bit width stored at the begining of the block</li></ul><p>To encode a block, we will:</p><ol><li><p>Compute the differences between consecutive elements. For the first element in the block, use the last element in the previous block or, in t [...]
8 (block size), 1 (miniblock count), 5 (value count), 1 (first value)</p><p>block
1 (minimum delta), 0 (bitwidth), (no data needed for bitwidth 0)</p><h4 id=example-2>Example 2</h4><p>7, 5, 3, 1, 2, 3, 4, 5, the deltas would be</p><p>-2, -2, -2, 1, 1, 1, 1</p><p>The minimum is -2, so the relative deltas are:</p><p>0, 0, 0, 3, 3, 3, 3</p><p>The encoded data is</p><p>header:
8 (block size), 1 (miniblock count), 8 (value count), 7 (first value)</p><p>block
@@ -180,7 +88,7 @@ repetition and definition levels.</p><h3 id=a-namedeltaencadelta-encoding-delta_
The delta encoding algorithm described above stores a bit width per miniblock and is less sensitive to variations in the size of encoded integers. It is also somewhat doing RLE encoding as a block containing all the same values will be bit packed to a zero bit width thus being only a header.</p><h3 id=delta-length-byte-array-delta_length_byte_array--6>Delta-length byte array: (DELTA_LENGTH_BYTE_ARRAY = 6)</h3><p>Supported Types: BYTE_ARRAY</p><p>This encoding is always preferred over PLA [...]
encoding (DELTA_BINARY_PACKED). The byte array data follows all of the length data just
concatenated back to back. The expected savings is from the cost of encoding the lengths
-and possibly better compression in the data (it is no longer interleaved with the lengths).</p><p>The data stream looks like:</p><p><delta encoded lengths> <byte array data></p><p>For example, if the data was “Hello”, “World”, “Foobar”, “ABCDEF”:</p><p>The encoded data would be DeltaEncoding(5, 5, 6, 6) “HelloWorldFoobarABCDEF”</p><h3 id=delta-strings-delta_byte_array--7>Delta Strings: (DELTA_BYTE_ARRAY = 7)</h3><p>Supported Typ [...]
+and possibly better compression in the data (it is no longer interleaved with the lengths).</p><p>The data stream looks like:</p><p><delta encoded lengths><byte array data></p><p>For example, if the data was “Hello”, “World”, “Foobar”, “ABCDEF”:</p><p>The encoded data would be DeltaEncoding(5, 5, 6, 6) “HelloWorldFoobarABCDEF”</p><h3 id=delta-strings-delta_byte_array--7>Delta Strings: (DELTA_BYTE_ARRAY = 7)</h3><p>Supported Type [...]
sequence of strings, store the prefix length of the previous entry plus the suffix.</p><p>For a longer description, see <a href=https://en.wikipedia.org/wiki/Incremental_encoding>https://en.wikipedia.org/wiki/Incremental_encoding</a>.</p><p>This is stored as a sequence of delta-encoded prefix lengths (DELTA_BINARY_PACKED), followed by
the suffixes encoded as delta length byte arrays (DELTA_LENGTH_BYTE_ARRAY).</p><h3 id=byte-stream-split-byte_stream_split--9>Byte Stream Split: (BYTE_STREAM_SPLIT = 9)</h3><p>Supported Types: FLOAT DOUBLE</p><p>This encoding does not reduce the size of the data but can lead to a significantly better
compression ratio and speed when a compression algorithm is used afterwards.</p><p>This encoding creates K byte-streams of length N where K is the size in bytes of the data
@@ -191,17 +99,8 @@ The streams are concatenated in the following order: 0-th stream, 1-st stream, e
Original data is three 32-bit floats and for simplicity we look at their raw representation.</p><pre tabindex=0><code> Element 0 Element 1 Element 2
Bytes AA BB CC DD 00 11 22 33 A3 B4 C5 D6
</code></pre><p>After applying the transformation, the data has the following representation:</p><pre tabindex=0><code>Bytes AA 00 A3 BB 11 B4 CC 22 C5 DD 33 D6
-</code></pre></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-e4790b30bda91ce23679bbaa9c652cd0>3.6.2 - Checksumming</h1><p>Column chunks are composed of pages written back to back. The pages share a common header and readers can skip over page they are not interested in. The data for the page follows the header and can be compressed and/or encoded. The compression and encoding is specified in the page metadata.</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-d84ba941c88c28699d637073c804ef79>3.6.3 - Column Chunks</h1><p>Column chunks are composed of pages written back to back. The pages share a common header and readers can skip over page they are not interested in. The data for the page follows the header and can be compressed and/or encoded. The compression and encoding is specified in the page metadata.</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-3fa634598323d0f5132aedfc3988d28f>3.6.4 - Error Recovery</h1><p>If the file metadata is corrupt, the file is lost. If the column metadata is corrupt, that column chunk is lost (but column chunks for this column in other row groups are okay). If a page header is corrupt, the remaining pages in that chunk are lost. If the data within a page is corrupt, that page is lost. The file will be more resilient to corruption with smaller row groups.</p><p>Potential extension: With smaller [...]
-<h1 id=pg-2c0e785302c1130bf2c45e6faa8aa18f>3.7 - Nulls</h1><p>Nullity is encoded in the definition levels (which is run-length encoded). NULL values are not encoded in the data. For example, in a non-nested schema, a column with 1000 NULLs would be encoded with run-length encoding (0, 1000 times) for the definition levels and nothing else.</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-68f9113b50693620ee9892f038d4139b>4 - Developer Guide</h1><div class=lead>All developer resources related to Parquet.</div><p>This section contains the developer specific documentation related to Parquet.</p></div><div class=td-content>
-<h1 id=pg-f674d9b9519c822d1a39419a8e9167a5>4.1 - Modules</h1><p>The <a href=https://github.com/apache/parquet-format>parquet-format</a> project contains format specifications and Thrift definitions of metadata required to properly read Parquet files.</p><p>The <a href=https://github.com/apache/parquet-mr>parquet-mr</a> project contains multiple sub-modules, which implement the core components of reading and writing a nested, column-oriented data stream, map this core onto the parquet for [...]
-<h1 id=pg-0fc7677c5a8dcd5250334bbf678cb165>4.2 - Building Parquet</h1><div class=lead>How to build Parquet</div><p>Building
-Java resources can be build using <code>mvn package</code>. The current stable version should always be available from Maven Central.</p><p>C++ thrift resources can be generated via make.</p><p>Thrift can be also code-genned into any other thrift-supported language.</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-47cac26307c77b16f1b9e75c1e46efec>4.3 - Contributing to Parquet</h1><div class=lead>How to contribute to Parquet</div><h2 id=pull-requests>Pull Requests</h2><p>We prefer to receive contributions in the form of GitHub pull requests. Please send pull requests against the <a href=https://github.com/apache/parquet-mr>github.com/apache/parquet-mr</a> repository. If you’ve previously forked Parquet from its old location, you will need to add a remote or update your origin remote to <a [...]
-<li>Break your work into small, single-purpose patches if possible. It’s much harder to merge in a large change with a lot of disjoint features.</li><li>Create a JIRA for your patch on the <a href=https://issues.apache.org/jira/browse/PARQUET>Parquet Project JIRA</a>.</li><li>Submit the patch as a GitHub pull request against the master branch. For a tutorial, see the GitHub guides on forking a repo and sending a pull request. Prefix your pull request name with the JIRA name (ex: <a href= [...]
+</code></pre></div><div class=td-content style=page-break-before:always><h1 id=pg-e4790b30bda91ce23679bbaa9c652cd0>3.6.2 - Checksumming</h1><p>Column chunks are composed of pages written back to back. The pages share a common header and readers can skip over page they are not interested in. The data for the page follows the header and can be compressed and/or encoded. The compression and encoding is specified in the page metadata.</p></div><div class=td-content style=page-break-before:al [...]
+Java resources can be build using <code>mvn package</code>. The current stable version should always be available from Maven Central.</p><p>C++ thrift resources can be generated via make.</p><p>Thrift can be also code-genned into any other thrift-supported language.</p></div><div class=td-content style=page-break-before:always><h1 id=pg-47cac26307c77b16f1b9e75c1e46efec>4.3 - Contributing to Parquet</h1><div class=lead>How to contribute to Parquet</div><h2 id=pull-requests>Pull Requests</ [...]
git remote add apache https://gitbox.apache.org/repos/asf?p=parquet-mr.git
</code></pre><p>run the following command</p><pre><code>dev/merge_parquet_pr.py
</code></pre><p>example output:</p><pre><code>Which pull request would you like to merge? (e.g. 34):
@@ -243,17 +142,12 @@ Pull request #X merged!
Merge hash: 485658a5
Would you like to pick 485658a5 into another branch? (y/n):
-</code></pre><p>For now just say <code>n</code> as we have 1 branch</p><h2 id=website>Website</h2><p>TODO</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-d65ca0c6c1ffbeb20627c4d33e7e3dc4>4.4 - Releasing Parquet</h1><div class=lead>How to release Parquet</div><h3 id=setup>Setup</h3><p>You will need: * PGP code signing keys, published in <a href=https://downloads.apache.org/parquet/KEYS>KEYS</a> * Permission to stage artifacts in Nexus</p><p>Make sure you have permission to deploy Parquet artifacts to Nexus by pushing a snapshot:</p><pre><code>mvn deploy
-</code></pre><p>If you have problems, read the <a href=https://www.apache.org/dev/publishing-maven-artifacts.html>publishing Maven artifacts documentation</a></p><h3 id=release-process>Release process</h3><p>Parquet uses the maven-release-plugin to tag a release and push binary artifacts to staging in Nexus. Once maven completes the release, the offical source tarball is built from the tag.</p><p>Before you start the release process:</p><ol>
-<li>Verify that the release is finished (no planned JIRAs are pending)</li><li>Build and test the project</li><li>Update the change log
-<ul>
-<li>Go to the release notes for the release in JIRA</li><li>Copy the HTML and convert it to markdown with an <a href=https://domchristie.github.io/turndown/>online converter</a></li><li>Add the content to CHANGES.md and update formatting</li><li>Commit the update to CHANGES.md</li></ul></li></ol><h4 id=1-run-the-prepare-script>1. Run the prepare script</h4><pre><code>dev/prepare-release.sh <version> <rc-number>
+</code></pre><p>For now just say <code>n</code> as we have 1 branch</p><h2 id=website>Website</h2><p>TODO</p></div><div class=td-content style=page-break-before:always><h1 id=pg-d65ca0c6c1ffbeb20627c4d33e7e3dc4>4.4 - Releasing Parquet</h1><div class=lead>How to release Parquet</div><h3 id=setup>Setup</h3><p>You will need: * PGP code signing keys, published in <a href=https://downloads.apache.org/parquet/KEYS>KEYS</a> * Permission to stage artifacts in Nexus</p><p>Make sure you have permi [...]
+</code></pre><p>If you have problems, read the <a href=https://www.apache.org/dev/publishing-maven-artifacts.html>publishing Maven artifacts documentation</a></p><h3 id=release-process>Release process</h3><p>Parquet uses the maven-release-plugin to tag a release and push binary artifacts to staging in Nexus. Once maven completes the release, the offical source tarball is built from the tag.</p><p>Before you start the release process:</p><ol><li>Verify that the release is finished (no pla [...]
</code></pre><p>This runs maven’s release prepare with a consistent tag name. After this step, the release tag will exist in the git repository.</p><p>If this step fails, you can roll back the changes by running these commands.</p><pre><code>find ./ -type f -name '*.releaseBackup' -exec rm {} \;
find ./ -type f -name 'pom.xml' -exec git checkout {} \;
</code></pre><h4 id=2-run-releaseperform-to-stage-binaries>2. Run release:perform to stage binaries</h4><pre><code>mvn release:perform
-</code></pre><p>This uploads binary artifacts for the release tag to <a href=https://repository.apache.org/>Nexus</a>.</p><h4 id=3-in-nexus-close-the-staging-repository>3. In Nexus, close the staging repository</h4><p>Closing a staging repository makes the binaries available in <a href=https://repository.apache.org/content/groups/staging/org/apache/parquet/>staging</a>, but does not publish them.</p><ol>
-<li>Go to <a href=https://repository.apache.org/>Nexus</a>.</li><li>In the menu on the left, choose “Staging Repositories”.</li><li>Select the Parquet repository.</li><li>At the top, click “Close” and follow the instructions. For the comment use “Apache Parquet [Format] ”.</li></ol><h4 id=4-run-the-source-tarball-script>4. Run the source tarball script</h4><pre><code>dev/source-release.sh <version> <rc-number>
+</code></pre><p>This uploads binary artifacts for the release tag to <a href=https://repository.apache.org/>Nexus</a>.</p><h4 id=3-in-nexus-close-the-staging-repository>3. In Nexus, close the staging repository</h4><p>Closing a staging repository makes the binaries available in <a href=https://repository.apache.org/content/groups/staging/org/apache/parquet/>staging</a>, but does not publish them.</p><ol><li>Go to <a href=https://repository.apache.org/>Nexus</a>.</li><li>In the menu on th [...]
</code></pre><p>This script builds the source tarball from the release tag’s SHA1, signs it, and uploads the necessary files with SVN.</p><p>The source release is pushed to <a href=https://dist.apache.org/repos/dist/dev/parquet/>https://dist.apache.org/repos/dist/dev/parquet/</a></p><p>The last message from the script is the release commit’s SHA1 hash and URL for the VOTE e-mail.</p><h4 id=5-send-a-vote-e-mail-to-devparquetapacheorgmailtodevparquetapacheorg>5. Send a VOTE e-mail to <a hr [...]
@@ -308,57 +202,8 @@ This release can be downloaded from: https://parquet.apache.org/downloads/
Java artifacts are available from Maven Central.
Thanks to everyone for contributing!
-</code></pre></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-84bc70d5f3df0dfce176f8761d95e996>5 - Resources</h1><div class=lead>Various resources to learn about the Parquet File Format.</div></div><div class=td-content>
-<h1 id=pg-801f7ca6269b0aaf25135cfa64c20726>5.1 - Spark Summit 2020</h1><div class=lead>Spark Summit 2020: The Apache Spark File Format Ecosystem</div><p><a href=https://www.slideshare.net/databricks/the-apache-spark-file-format-ecosystem>Slides</a></p><div style=position:relative;padding-bottom:56.25%;height:0;overflow:hidden>
-<iframe src=https://www.youtube.com/embed/auNAzC3AU18 style=position:absolute;top:0;left:0;width:100%;height:100%;border:0 allowfullscreen title="YouTube Video"></iframe>
-</div></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-c155faf069b9c5029e4560f489e2b59a>5.2 - Hadoop Summit 2014</h1><div class=lead>Hadoop Summit 2014: Efficient Data Storage for Analytics with Parquet 2.0</div><p><a href=https://www.slideshare.net/cloudera/hadoop-summit-36479635>Slides</a></p><div style=position:relative;padding-bottom:56.25%;height:0;overflow:hidden>
-<iframe src=https://www.youtube.com/embed/MZNjmfx4LMc style=position:absolute;top:0;left:0;width:100%;height:100%;border:0 allowfullscreen title="YouTube Video"></iframe>
-</div></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-5f74f8d91a37e08ed38543674341f5f1>5.3 - #CONF 2014</h1><div class=lead>#CONF 2014: Parquet Format at Twitter</div><div style=position:relative;padding-bottom:56.25%;height:0;overflow:hidden>
-<iframe src=https://www.youtube.com/embed/Qfp6Uv1UrA0 style=position:absolute;top:0;left:0;width:100%;height:100%;border:0 allowfullscreen title="YouTube Video"></iframe>
-</div></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-58d5015470836697556d426225229bbe>5.4 - Strata 2013</h1><div class=lead>Strata 2013: Parquet: Columnar storage for the people</div><p><a href=https://www.slideshare.net/julienledem/parquet-stratany-hadoopworld2013>Slides</a></p></div></main></div></div><footer class="bg-dark py-5 row d-print-none">
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+</code></pre></div><div class=td-content style=page-break-before:always><h1 id=pg-84bc70d5f3df0dfce176f8761d95e996>5 - Resources</h1><div class=lead>Various resources to learn about the Parquet File Format.</div></div><div class=td-content><h1 id=pg-43142841c91c2a4b748c50532b346e58>5.1 - Blog Posts</h1><div class=lead>Blog posts with content about the Parquet File Format.</div><ul><li><p><a href=https://eng.uber.com/cost-efficiency-big-data/>Apache Parquet: Cost Efficiency @ Scale in Big [...]
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-</header><p><em>Block (hdfs block)</em>: This means a block in hdfs and the meaning is unchanged for describing this file format. The file format is designed to work well on top of hdfs.</p><p><em>File</em>: A hdfs file that must include the metadata for the file. It does not need to actually contain the data.</p><p><em>Row group</em>: A logical horizontal partitioning of the data into rows. There is no physical structure that is guaranteed for a row group. A row group consists of a colu [...]
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-</p></div><h1 class=title>Developer Guide</h1><div class=lead>All developer resources related to Parquet.</div><ul>
-<li>1: <a href=#pg-f674d9b9519c822d1a39419a8e9167a5>Modules</a></li><li>2: <a href=#pg-0fc7677c5a8dcd5250334bbf678cb165>Building Parquet</a></li><li>3: <a href=#pg-47cac26307c77b16f1b9e75c1e46efec>Contributing to Parquet</a></li><li>4: <a href=#pg-d65ca0c6c1ffbeb20627c4d33e7e3dc4>Releasing Parquet</a></li></ul><div class=content>
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-<h1 id=pg-f674d9b9519c822d1a39419a8e9167a5>1 - Modules</h1><p>The <a href=https://github.com/apache/parquet-format>parquet-format</a> project contains format specifications and Thrift definitions of metadata required to properly read Parquet files.</p><p>The <a href=https://github.com/apache/parquet-mr>parquet-mr</a> project contains multiple sub-modules, which implement the core components of reading and writing a nested, column-oriented data stream, map this core onto the parquet forma [...]
-<h1 id=pg-0fc7677c5a8dcd5250334bbf678cb165>2 - Building Parquet</h1><div class=lead>How to build Parquet</div><p>Building
-Java resources can be build using <code>mvn package</code>. The current stable version should always be available from Maven Central.</p><p>C++ thrift resources can be generated via make.</p><p>Thrift can be also code-genned into any other thrift-supported language.</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-47cac26307c77b16f1b9e75c1e46efec>3 - Contributing to Parquet</h1><div class=lead>How to contribute to Parquet</div><h2 id=pull-requests>Pull Requests</h2><p>We prefer to receive contributions in the form of GitHub pull requests. Please send pull requests against the <a href=https://github.com/apache/parquet-mr>github.com/apache/parquet-mr</a> repository. If you’ve previously forked Parquet from its old location, you will need to add a remote or update your origin remote to <a h [...]
-<li>Break your work into small, single-purpose patches if possible. It’s much harder to merge in a large change with a lot of disjoint features.</li><li>Create a JIRA for your patch on the <a href=https://issues.apache.org/jira/browse/PARQUET>Parquet Project JIRA</a>.</li><li>Submit the patch as a GitHub pull request against the master branch. For a tutorial, see the GitHub guides on forking a repo and sending a pull request. Prefix your pull request name with the JIRA name (ex: <a href= [...]
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=generator content="Hugo 0.94.2"><link rel=canonical type=text/html href=/docs/contribution-guidelines/><link rel=alternate type=application/rss+xml href=/docs/contribution-guidelines/index.xml><meta name=robots content="noindex, nofollow"><link rel="shortcut icon" href=/favicons/favicon.ico><link rel=apple-touch-icon href=/favicon [...]
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+"><link rel=preload href=/scss/main.min.f24258008619674c862060e44d207ffd589754b695d7d90fce36dbc880379412.css as=style><link href=/scss/main.min.f24258008619674c862060e44d207ffd589754b695d7d90fce36dbc880379412.css rel=stylesheet integrity><script src=https://code.jquery.com/jquery-3.6.0.min.js integrity=sha384-vtXRMe3mGCbOeY7l30aIg8H9p3GdeSe4IFlP6G8JMa7o7lXvnz3GFKzPxzJdPfGK crossorigin=anonymous></script></head><body class=td-section><header><nav class="js-navbar-scroll navbar navbar-expa [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/docs/contribution-guidelines/>Return to the regular view of this page</a>.</p></div><h1 class=title>Developer Guide</h1><div class=lead>All developer resources related to Parquet.</div><ul><li>1: <a href=#pg-f674d9b9519c822d1a39419a8e9167a5>Modules</a></li><li>2: <a href=#pg-0fc7677c5a8dcd5250334bbf678cb165>Building Parquet</a></li><li>3: <a href=#pg-47cac26307c77b16f1b9e75c1e46efec>Contributing to Parquet</a>< [...]
+Java resources can be build using <code>mvn package</code>. The current stable version should always be available from Maven Central.</p><p>C++ thrift resources can be generated via make.</p><p>Thrift can be also code-genned into any other thrift-supported language.</p></div><div class=td-content style=page-break-before:always><h1 id=pg-47cac26307c77b16f1b9e75c1e46efec>3 - Contributing to Parquet</h1><div class=lead>How to contribute to Parquet</div><h2 id=pull-requests>Pull Requests</h2 [...]
git remote add apache https://gitbox.apache.org/repos/asf?p=parquet-mr.git
</code></pre><p>run the following command</p><pre><code>dev/merge_parquet_pr.py
</code></pre><p>example output:</p><pre><code>Which pull request would you like to merge? (e.g. 34):
@@ -109,17 +46,12 @@ Pull request #X merged!
Merge hash: 485658a5
Would you like to pick 485658a5 into another branch? (y/n):
-</code></pre><p>For now just say <code>n</code> as we have 1 branch</p><h2 id=website>Website</h2><p>TODO</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-d65ca0c6c1ffbeb20627c4d33e7e3dc4>4 - Releasing Parquet</h1><div class=lead>How to release Parquet</div><h3 id=setup>Setup</h3><p>You will need: * PGP code signing keys, published in <a href=https://downloads.apache.org/parquet/KEYS>KEYS</a> * Permission to stage artifacts in Nexus</p><p>Make sure you have permission to deploy Parquet artifacts to Nexus by pushing a snapshot:</p><pre><code>mvn deploy
-</code></pre><p>If you have problems, read the <a href=https://www.apache.org/dev/publishing-maven-artifacts.html>publishing Maven artifacts documentation</a></p><h3 id=release-process>Release process</h3><p>Parquet uses the maven-release-plugin to tag a release and push binary artifacts to staging in Nexus. Once maven completes the release, the offical source tarball is built from the tag.</p><p>Before you start the release process:</p><ol>
-<li>Verify that the release is finished (no planned JIRAs are pending)</li><li>Build and test the project</li><li>Update the change log
-<ul>
-<li>Go to the release notes for the release in JIRA</li><li>Copy the HTML and convert it to markdown with an <a href=https://domchristie.github.io/turndown/>online converter</a></li><li>Add the content to CHANGES.md and update formatting</li><li>Commit the update to CHANGES.md</li></ul></li></ol><h4 id=1-run-the-prepare-script>1. Run the prepare script</h4><pre><code>dev/prepare-release.sh <version> <rc-number>
+</code></pre><p>For now just say <code>n</code> as we have 1 branch</p><h2 id=website>Website</h2><p>TODO</p></div><div class=td-content style=page-break-before:always><h1 id=pg-d65ca0c6c1ffbeb20627c4d33e7e3dc4>4 - Releasing Parquet</h1><div class=lead>How to release Parquet</div><h3 id=setup>Setup</h3><p>You will need: * PGP code signing keys, published in <a href=https://downloads.apache.org/parquet/KEYS>KEYS</a> * Permission to stage artifacts in Nexus</p><p>Make sure you have permiss [...]
+</code></pre><p>If you have problems, read the <a href=https://www.apache.org/dev/publishing-maven-artifacts.html>publishing Maven artifacts documentation</a></p><h3 id=release-process>Release process</h3><p>Parquet uses the maven-release-plugin to tag a release and push binary artifacts to staging in Nexus. Once maven completes the release, the offical source tarball is built from the tag.</p><p>Before you start the release process:</p><ol><li>Verify that the release is finished (no pla [...]
</code></pre><p>This runs maven’s release prepare with a consistent tag name. After this step, the release tag will exist in the git repository.</p><p>If this step fails, you can roll back the changes by running these commands.</p><pre><code>find ./ -type f -name '*.releaseBackup' -exec rm {} \;
find ./ -type f -name 'pom.xml' -exec git checkout {} \;
</code></pre><h4 id=2-run-releaseperform-to-stage-binaries>2. Run release:perform to stage binaries</h4><pre><code>mvn release:perform
-</code></pre><p>This uploads binary artifacts for the release tag to <a href=https://repository.apache.org/>Nexus</a>.</p><h4 id=3-in-nexus-close-the-staging-repository>3. In Nexus, close the staging repository</h4><p>Closing a staging repository makes the binaries available in <a href=https://repository.apache.org/content/groups/staging/org/apache/parquet/>staging</a>, but does not publish them.</p><ol>
-<li>Go to <a href=https://repository.apache.org/>Nexus</a>.</li><li>In the menu on the left, choose “Staging Repositories”.</li><li>Select the Parquet repository.</li><li>At the top, click “Close” and follow the instructions. For the comment use “Apache Parquet [Format] ”.</li></ol><h4 id=4-run-the-source-tarball-script>4. Run the source tarball script</h4><pre><code>dev/source-release.sh <version> <rc-number>
+</code></pre><p>This uploads binary artifacts for the release tag to <a href=https://repository.apache.org/>Nexus</a>.</p><h4 id=3-in-nexus-close-the-staging-repository>3. In Nexus, close the staging repository</h4><p>Closing a staging repository makes the binaries available in <a href=https://repository.apache.org/content/groups/staging/org/apache/parquet/>staging</a>, but does not publish them.</p><ol><li>Go to <a href=https://repository.apache.org/>Nexus</a>.</li><li>In the menu on th [...]
</code></pre><p>This script builds the source tarball from the release tag’s SHA1, signs it, and uploads the necessary files with SVN.</p><p>The source release is pushed to <a href=https://dist.apache.org/repos/dist/dev/parquet/>https://dist.apache.org/repos/dist/dev/parquet/</a></p><p>The last message from the script is the release commit’s SHA1 hash and URL for the VOTE e-mail.</p><h4 id=5-send-a-vote-e-mail-to-devparquetapacheorgmailtodevparquetapacheorg>5. Send a VOTE e-mail to <a hr [...]
@@ -174,46 +106,8 @@ This release can be downloaded from: https://parquet.apache.org/downloads/
Java artifacts are available from Maven Central.
Thanks to everyone for contributing!
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+Java resources can be build using <code>mvn package</code>. The current stable version should always be available from Maven Central.</p><p>C++ thrift resources can be generated via make.</p><p>Thrift can be also code-genned into any other thrift-supported language.</p><div class="text-muted mt-5 pt-3 border-top">Last modified March 8, 2022: <a href=https://github.com/apache/parquet-site/commit/0af7433ae93739468fcb1950cde3ef9b61628a86>New Hugo-based website (0af7433)</a></div></div></mai [...]
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diff --git a/output/docs/contribution-guidelines/contributing/index.html b/output/docs/contribution-guidelines/contributing/index.html
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-<h1>Contributing to Parquet</h1><div class=lead>How to contribute to Parquet</div><header class=article-meta>
-</header><h2 id=pull-requests>Pull Requests</h2><p>We prefer to receive contributions in the form of GitHub pull requests. Please send pull requests against the <a href=https://github.com/apache/parquet-mr>github.com/apache/parquet-mr</a> repository. If you’ve previously forked Parquet from its old location, you will need to add a remote or update your origin remote to <a href=https://github.com/apache/incubator-parquet-mr.git>https://github.com/apache/incubator-parquet-mr.git</a> Here a [...]
-<li>Break your work into small, single-purpose patches if possible. It’s much harder to merge in a large change with a lot of disjoint features.</li><li>Create a JIRA for your patch on the <a href=https://issues.apache.org/jira/browse/PARQUET>Parquet Project JIRA</a>.</li><li>Submit the patch as a GitHub pull request against the master branch. For a tutorial, see the GitHub guides on forking a repo and sending a pull request. Prefix your pull request name with the JIRA name (ex: <a href= [...]
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git remote add apache https://gitbox.apache.org/repos/asf?p=parquet-mr.git
</code></pre><p>run the following command</p><pre><code>dev/merge_parquet_pr.py
</code></pre><p>example output:</p><pre><code>Which pull request would you like to merge? (e.g. 34):
@@ -184,48 +49,8 @@ Pull request #X merged!
Merge hash: 485658a5
Would you like to pick 485658a5 into another branch? (y/n):
-</code></pre><p>For now just say <code>n</code> as we have 1 branch</p><h2 id=website>Website</h2><p>TODO</p><div class="text-muted mt-5 pt-3 border-top">
-Last modified March 8, 2022: <a href=https://github.com/apache/parquet-site/commit/0af7433ae93739468fcb1950cde3ef9b61628a86>New Hugo-based website (0af7433)</a>
-</div></div></main></div></div><footer class="bg-dark py-5 row d-print-none">
-<div class="container-fluid mx-sm-5">
-<div class=row>
-<div class="col-6 col-sm-4 text-xs-center order-sm-2">
-<ul class="list-inline mb-0">
-<li class="list-inline-item mx-2 h3" data-toggle=tooltip data-placement=top title="User mailing list" aria-label="User mailing list">
-<a class=text-white target=_blank rel=noopener href=mailto:dev@parquet.apache.org aria-label="User mailing list">
-<i class="fa fa-envelope"></i>
-</a>
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+</code></pre><p>For now just say <code>n</code> as we have 1 branch</p><h2 id=website>Website</h2><p>TODO</p><div class="text-muted mt-5 pt-3 border-top">Last modified March 8, 2022: <a href=https://github.com/apache/parquet-site/commit/0af7433ae93739468fcb1950cde3ef9b61628a86>New Hugo-based website (0af7433)</a></div></div></main></div></div><footer class="bg-dark py-5 row d-print-none"><div class="container-fluid mx-sm-5"><div class=row><div class="col-6 col-sm-4 text-xs-center order-s [...]
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diff --git a/output/docs/contribution-guidelines/index.html b/output/docs/contribution-guidelines/index.html
index b0d5c40..342939a 100644
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-<h1>Releasing Parquet</h1><div class=lead>How to release Parquet</div><header class=article-meta>
-</header><h3 id=setup>Setup</h3><p>You will need: * PGP code signing keys, published in <a href=https://downloads.apache.org/parquet/KEYS>KEYS</a> * Permission to stage artifacts in Nexus</p><p>Make sure you have permission to deploy Parquet artifacts to Nexus by pushing a snapshot:</p><pre><code>mvn deploy
-</code></pre><p>If you have problems, read the <a href=https://www.apache.org/dev/publishing-maven-artifacts.html>publishing Maven artifacts documentation</a></p><h3 id=release-process>Release process</h3><p>Parquet uses the maven-release-plugin to tag a release and push binary artifacts to staging in Nexus. Once maven completes the release, the offical source tarball is built from the tag.</p><p>Before you start the release process:</p><ol>
-<li>Verify that the release is finished (no planned JIRAs are pending)</li><li>Build and test the project</li><li>Update the change log
-<ul>
-<li>Go to the release notes for the release in JIRA</li><li>Copy the HTML and convert it to markdown with an <a href=https://domchristie.github.io/turndown/>online converter</a></li><li>Add the content to CHANGES.md and update formatting</li><li>Commit the update to CHANGES.md</li></ul></li></ol><h4 id=1-run-the-prepare-script>1. Run the prepare script</h4><pre><code>dev/prepare-release.sh <version> <rc-number>
+<a id=print href=/docs/contribution-guidelines/_print/><i class="fa fa-print fa-fw"></i> Print entire section</a></div><div class=td-toc><nav id=TableOfContents><ul><li><ul><li><a href=#setup>Setup</a></li><li><a href=#release-process>Release process</a></li><li><a href=#publishing-after-the-vote-passes>Publishing after the vote passes</a></li></ul></li></ul></nav></div></aside><main class="col-12 col-md-9 col-xl-8 pl-md-5" role=main><nav aria-label=breadcrumb class=td-breadcrumbs><ol cl [...]
+</code></pre><p>If you have problems, read the <a href=https://www.apache.org/dev/publishing-maven-artifacts.html>publishing Maven artifacts documentation</a></p><h3 id=release-process>Release process</h3><p>Parquet uses the maven-release-plugin to tag a release and push binary artifacts to staging in Nexus. Once maven completes the release, the offical source tarball is built from the tag.</p><p>Before you start the release process:</p><ol><li>Verify that the release is finished (no pla [...]
</code></pre><p>This runs maven’s release prepare with a consistent tag name. After this step, the release tag will exist in the git repository.</p><p>If this step fails, you can roll back the changes by running these commands.</p><pre><code>find ./ -type f -name '*.releaseBackup' -exec rm {} \;
find ./ -type f -name 'pom.xml' -exec git checkout {} \;
</code></pre><h4 id=2-run-releaseperform-to-stage-binaries>2. Run release:perform to stage binaries</h4><pre><code>mvn release:perform
-</code></pre><p>This uploads binary artifacts for the release tag to <a href=https://repository.apache.org/>Nexus</a>.</p><h4 id=3-in-nexus-close-the-staging-repository>3. In Nexus, close the staging repository</h4><p>Closing a staging repository makes the binaries available in <a href=https://repository.apache.org/content/groups/staging/org/apache/parquet/>staging</a>, but does not publish them.</p><ol>
-<li>Go to <a href=https://repository.apache.org/>Nexus</a>.</li><li>In the menu on the left, choose “Staging Repositories”.</li><li>Select the Parquet repository.</li><li>At the top, click “Close” and follow the instructions. For the comment use “Apache Parquet [Format] ”.</li></ol><h4 id=4-run-the-source-tarball-script>4. Run the source tarball script</h4><pre><code>dev/source-release.sh <version> <rc-number>
+</code></pre><p>This uploads binary artifacts for the release tag to <a href=https://repository.apache.org/>Nexus</a>.</p><h4 id=3-in-nexus-close-the-staging-repository>3. In Nexus, close the staging repository</h4><p>Closing a staging repository makes the binaries available in <a href=https://repository.apache.org/content/groups/staging/org/apache/parquet/>staging</a>, but does not publish them.</p><ol><li>Go to <a href=https://repository.apache.org/>Nexus</a>.</li><li>In the menu on th [...]
</code></pre><p>This script builds the source tarball from the release tag’s SHA1, signs it, and uploads the necessary files with SVN.</p><p>The source release is pushed to <a href=https://dist.apache.org/repos/dist/dev/parquet/>https://dist.apache.org/repos/dist/dev/parquet/</a></p><p>The last message from the script is the release commit’s SHA1 hash and URL for the VOTE e-mail.</p><h4 id=5-send-a-vote-e-mail-to-devparquetapacheorgmailtodevparquetapacheorg>5. Send a VOTE e-mail to <a hr [...]
@@ -209,48 +67,8 @@ This release can be downloaded from: https://parquet.apache.org/downloads/
Java artifacts are available from Maven Central.
Thanks to everyone for contributing!
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-This is the multi-page printable view of this section.
-<a href=# onclick="return print(),!1">Click here to print</a>.
-</p><p>
-<a href=/docs/file-format/>Return to the regular view of this page</a>.
-</p></div><h1 class=title>File Format</h1><div class=lead>Documentation about the Parquet File Format.</div><ul>
-<li>1: <a href=#pg-de128b03a7277c17c6dec2cef97af32d>Configurations</a></li><li>2: <a href=#pg-6762d78210357c1df172dfddcc6fd307>Extensibility</a></li><li>3: <a href=#pg-e1f24cbf7bc8c4ddd1cc8213993795a7>Metadata</a></li><li>4: <a href=#pg-140f2d6d5609da0af9dcaa92233086b5>Types</a></li><ul>
-<li>4.1: <a href=#pg-967cf8be84f5efbfd2e57475707b79b1>Logical Types</a></li></ul><li>5: <a href=#pg-0d8efcf7d4835e2ce724ae57b02d4318>Nested Encoding</a></li><li>6: <a href=#pg-cfdfda4ee78f351464c0ddf31e278a88>Data Pages</a></li><ul>
-<li>6.1: <a href=#pg-9aa971e751fdd370158d525ad337ef7a>Encodings</a></li><li>6.2: <a href=#pg-e4790b30bda91ce23679bbaa9c652cd0>Checksumming</a></li><li>6.3: <a href=#pg-d84ba941c88c28699d637073c804ef79>Column Chunks</a></li><li>6.4: <a href=#pg-3fa634598323d0f5132aedfc3988d28f>Error Recovery</a></li></ul><li>7: <a href=#pg-2c0e785302c1130bf2c45e6faa8aa18f>Nulls</a></li></ul><div class=content>
-<p>This file and the thrift definition should be read together to understand the format.</p><pre tabindex=0><code>4-byte magic number "PAR1"
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=generator content="Hugo 0.94.2"><link rel=canonical type=text/html href=/docs/file-format/><link rel=alternate type=application/rss+xml href=/docs/file-format/index.xml><meta name=robots content="noindex, nofollow"><link rel="shortcut icon" href=/favicons/favicon.ico><link rel=apple-touch-icon href=/favicons/apple-touch-icon-180x1 [...]
+"><meta property="og:title" content="File Format"><meta property="og:description" content="Documentation about the Parquet File Format.
+"><meta property="og:type" content="website"><meta property="og:url" content="/docs/file-format/"><meta property="og:site_name" content="Apache Parquet"><meta itemprop=name content="File Format"><meta itemprop=description content="Documentation about the Parquet File Format.
+"><meta name=twitter:card content="summary"><meta name=twitter:title content="File Format"><meta name=twitter:description content="Documentation about the Parquet File Format.
+"><link rel=preload href=/scss/main.min.f24258008619674c862060e44d207ffd589754b695d7d90fce36dbc880379412.css as=style><link href=/scss/main.min.f24258008619674c862060e44d207ffd589754b695d7d90fce36dbc880379412.css rel=stylesheet integrity><script src=https://code.jquery.com/jquery-3.6.0.min.js integrity=sha384-vtXRMe3mGCbOeY7l30aIg8H9p3GdeSe4IFlP6G8JMa7o7lXvnz3GFKzPxzJdPfGK crossorigin=anonymous></script></head><body class=td-section><header><nav class="js-navbar-scroll navbar navbar-expa [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/docs/file-format/>Return to the regular view of this page</a>.</p></div><h1 class=title>File Format</h1><div class=lead>Documentation about the Parquet File Format.</div><ul><li>1: <a href=#pg-de128b03a7277c17c6dec2cef97af32d>Configurations</a></li><li>2: <a href=#pg-6762d78210357c1df172dfddcc6fd307>Extensibility</a></li><li>3: <a href=#pg-e1f24cbf7bc8c4ddd1cc8213993795a7>Metadata</a></li><li>4: <a href=#pg-140 [...]
<Column 1 Chunk 1 + Column Metadata>
<Column 2 Chunk 1 + Column Metadata>
...
@@ -81,28 +20,18 @@ This is the multi-page printable view of this section.
File Metadata
4-byte length in bytes of file metadata
4-byte magic number "PAR1"
-</code></pre><p>In the above example, there are N columns in this table, split into M row groups. The file metadata contains the locations of all the column metadata start locations. More details on what is contained in the metadata can be found in the thrift files.</p><p>Metadata is written after the data to allow for single pass writing.</p><p>Readers are expected to first read the file metadata to find all the column chunks they are interested in. The columns chunks should then be rea [...]
-<h1 id=pg-de128b03a7277c17c6dec2cef97af32d>1 - Configurations</h1><h3 id=row-group-size>Row Group Size</h3><p>Larger row groups allow for larger column chunks which makes it possible to do larger sequential IO. Larger groups also require more buffering in the write path (or a two pass write). We recommend large row groups (512MB - 1GB). Since an entire row group might need to be read, we want it to completely fit on one HDFS block. Therefore, HDFS block sizes should also be set to be lar [...]
-<h1 id=pg-6762d78210357c1df172dfddcc6fd307>2 - Extensibility</h1><p>There are many places in the format for compatible extensions:</p><p>File Version: The file metadata contains a version.
+</code></pre><p>In the above example, there are N columns in this table, split into M row groups. The file metadata contains the locations of all the column metadata start locations. More details on what is contained in the metadata can be found in the thrift files.</p><p>Metadata is written after the data to allow for single pass writing.</p><p>Readers are expected to first read the file metadata to find all the column chunks they are interested in. The columns chunks should then be rea [...]
Encodings: Encodings are specified by enum and more can be added in the future.
-Page types: Additional page types can be added and safely skipped.</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-e1f24cbf7bc8c4ddd1cc8213993795a7>3 - Metadata</h1><p>There are three types of metadata: file metadata, column (chunk) metadata and page header metadata. All thrift structures are serialized using the TCompactProtocol.</p><p><img src=/images/FileFormat.gif alt="File Layout"></p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-140f2d6d5609da0af9dcaa92233086b5>4 - Types</h1><p>The types supported by the file format are intended to be as minimal as possible, with a focus on how the types effect on disk storage. For example, 16-bit ints are not explicitly supported in the storage format since they are covered by 32-bit ints with an efficient encoding. This reduces the complexity of implementing readers and writers for the format. The types are:</p><pre tabindex=0><code>BOOLEAN: 1 bit boolean
+Page types: Additional page types can be added and safely skipped.</p></div><div class=td-content style=page-break-before:always><h1 id=pg-e1f24cbf7bc8c4ddd1cc8213993795a7>3 - Metadata</h1><p>There are three types of metadata: file metadata, column (chunk) metadata and page header metadata. All thrift structures are serialized using the TCompactProtocol.</p><p><img src=/images/FileFormat.gif alt="File Layout"></p></div><div class=td-content style=page-break-before:always><h1 id=pg-140f2d [...]
INT32: 32 bit signed ints
INT64: 64 bit signed ints
INT96: 96 bit signed ints
FLOAT: IEEE 32-bit floating point values
DOUBLE: IEEE 64-bit floating point values
BYTE_ARRAY: arbitrarily long byte arrays.
-</code></pre></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-967cf8be84f5efbfd2e57475707b79b1>4.1 - Logical Types</h1><p>Logical types are used to extend the types that parquet can be used to store, by specifying how the primitive types should be interpreted. This keeps the set of primitive types to a minimum and reuses parquet’s efficient encodings. For example, strings are stored as byte arrays (binary) with a UTF8 annotation. These annotations define how to further decode and interpret the data. Annotations are stored as a ConvertedTy [...]
-<h1 id=pg-0d8efcf7d4835e2ce724ae57b02d4318>5 - Nested Encoding</h1><p>To encode nested columns, Parquet uses the Dremel encoding with definition and repetition levels. Definition levels specify how many optional fields in the path for the column are defined. Repetition levels specify at what repeated field in the path has the value repeated. The max definition and repetition levels can be computed from the schema (i.e. how much nesting there is). This defines the maximum number of bits r [...]
-<h1 id=pg-cfdfda4ee78f351464c0ddf31e278a88>6 - Data Pages</h1><p>For data pages, the 3 pieces of information are encoded back to back, after the page header. We have the</p><ul>
-<li>definition levels data,</li><li>repetition levels data,</li><li>encoded values. The size of specified in the header is for all 3 pieces combined.</li></ul><p>The data for the data page is always required. The definition and repetition levels are optional, based on the schema definition. If the column is not nested (i.e. the path to the column has length 1), we do not encode the repetition levels (it would always have the value 1). For data that is required, the definition levels are [...]
-<h1 id=pg-9aa971e751fdd370158d525ad337ef7a>6.1 - Encodings</h1><h3 id=a-nameplainaplain-plain--0><a name=PLAIN></a>Plain: (PLAIN = 0)</h3><p>Supported Types: all</p><p>This is the plain encoding that must be supported for types. It is
+</code></pre></div><div class=td-content style=page-break-before:always><h1 id=pg-967cf8be84f5efbfd2e57475707b79b1>4.1 - Logical Types</h1><p>Logical types are used to extend the types that parquet can be used to store, by specifying how the primitive types should be interpreted. This keeps the set of primitive types to a minimum and reuses parquet’s efficient encodings. For example, strings are stored as byte arrays (binary) with a UTF8 annotation. These annotations define how to furthe [...]
intended to be the simplest encoding. Values are encoded back to back.</p><p>The plain encoding is used whenever a more efficient encoding can not be used. It
-stores the data in the following format:</p><ul>
-<li>BOOLEAN: <a href=#RLE>Bit Packed</a>, LSB first</li><li>INT32: 4 bytes little endian</li><li>INT64: 8 bytes little endian</li><li>INT96: 12 bytes little endian (deprecated)</li><li>FLOAT: 4 bytes IEEE little endian</li><li>DOUBLE: 8 bytes IEEE little endian</li><li>BYTE_ARRAY: length in 4 bytes little endian followed by the bytes contained in the array</li><li>FIXED_LEN_BYTE_ARRAY: the bytes contained in the array</li></ul><p>For native types, this outputs the data as little endian. [...]
+stores the data in the following format:</p><ul><li>BOOLEAN: <a href=#RLE>Bit Packed</a>, LSB first</li><li>INT32: 4 bytes little endian</li><li>INT64: 8 bytes little endian</li><li>INT96: 12 bytes little endian (deprecated)</li><li>FLOAT: 4 bytes IEEE little endian</li><li>DOUBLE: 8 bytes IEEE little endian</li><li>BYTE_ARRAY: length in 4 bytes little endian followed by the bytes contained in the array</li><li>FIXED_LEN_BYTE_ARRAY: the bytes contained in the array</li></ul><p>For native [...]
point types are encoded in IEEE.</p><p>For the byte array type, it encodes the length as a 4 byte little
endian, followed by the bytes.</p><h3 id=dictionary-encoding-plain_dictionary--2-and-rle_dictionary--8>Dictionary Encoding (PLAIN_DICTIONARY = 2 and RLE_DICTIONARY = 8)</h3><p>The dictionary encoding builds a dictionary of values encountered in a given column. The
dictionary will be stored in a dictionary page per column chunk. The values are stored as integers
@@ -124,9 +53,7 @@ rle-run := <rle-header> <repeated-value>
rle-header := varint-encode( (rle-run-len) << 1)
rle-run-len := *see 3 below*
repeated-value := value that is repeated, using a fixed-width of round-up-to-next-byte(bit-width)
-</code></pre><ol>
-<li>
-<p>The bit-packing here is done in a different order than the one in the <a href=#BITPACKED>deprecated bit-packing</a> encoding.
+</code></pre><ol><li><p>The bit-packing here is done in a different order than the one in the <a href=#BITPACKED>deprecated bit-packing</a> encoding.
The values are packed from the least significant bit of each byte to the most significant bit,
though the order of the bits in each value remains in the usual order of most significant to least
significant. For example, to pack the same values as the example in the deprecated encoding above:</p><p>The numbers 1 through 7 using bit width 3:</p><pre tabindex=0><code>dec value: 0 1 2 3 4 5 6 7
@@ -138,15 +65,12 @@ bit label: HIDEFABC RMNOJKLG VWXSTUPQ
when deserializing more than one byte at at time. This is because 4 bytes can be read into a
32 bit register (or 8 bytes into a 64 bit register) and values can be unpacked just by
shifting and ORing with a mask. (to make this optimization work on a big-endian machine,
-you would have to use the ordering used in the <a href=#BITPACKED>deprecated bit-packing</a> encoding)</p></li><li>
-<p>varint-encode() is ULEB-128 encoding, see <a href=https://en.wikipedia.org/wiki/LEB128>https://en.wikipedia.org/wiki/LEB128</a></p></li><li>
-<p>bit-packed-run-len and rle-run-len must be in the range [1, 2<sup>31</sup> - 1].
+you would have to use the ordering used in the <a href=#BITPACKED>deprecated bit-packing</a> encoding)</p></li><li><p>varint-encode() is ULEB-128 encoding, see <a href=https://en.wikipedia.org/wiki/LEB128>https://en.wikipedia.org/wiki/LEB128</a></p></li><li><p>bit-packed-run-len and rle-run-len must be in the range [1, 2<sup>31</sup> - 1].
This means that a Parquet implementation can always store the run length in a signed
32-bit integer. This length restriction was not part of the Parquet 2.5.0 and earlier
specifications, but longer runs were not readable by the most common Parquet
implementations so, in practice, were not safe for Parquet writers to emit.</p></li></ol><p>Note that the RLE encoding method is only supported for the following types of
-data:</p><ul>
-<li>Repetition and definition levels</li><li>Dictionary indices</li><li>Boolean values in data pages, as an alternative to PLAIN encoding</li></ul><h3 id=a-namebitpackedabit-packed-deprecated-bit_packed--4><a name=BITPACKED></a>Bit-packed (Deprecated) (BIT_PACKED = 4)</h3><p>This is a bit-packed only encoding, which is deprecated and will be replaced by the <a href=#RLE>RLE/bit-packing</a> hybrid encoding.
+data:</p><ul><li>Repetition and definition levels</li><li>Dictionary indices</li><li>Boolean values in data pages, as an alternative to PLAIN encoding</li></ul><h3 id=a-namebitpackedabit-packed-deprecated-bit_packed--4><a name=BITPACKED></a>Bit-packed (Deprecated) (BIT_PACKED = 4)</h3><p>This is a bit-packed only encoding, which is deprecated and will be replaced by the <a href=#RLE>RLE/bit-packing</a> hybrid encoding.
Each value is encoded back to back using a fixed width.
There is no padding between values (except for the last byte) which is padded with 0s.
For example, if the max repetition level was 3 (2 bits) and the max definition level as 3
@@ -159,14 +83,8 @@ bit label: ABC DEF GHI JKL MNO PQR STU VWX
bit label: ABCDEFGH IJKLMNOP QRSTUVWX
</code></pre><p>Note that the BIT_PACKED encoding method is only supported for encoding
repetition and definition levels.</p><h3 id=a-namedeltaencadelta-encoding-delta_binary_packed--5><a name=DELTAENC></a>Delta Encoding (DELTA_BINARY_PACKED = 5)</h3><p>Supported Types: INT32, INT64</p><p>This encoding is adapted from the Binary packing described in <a href=http://arxiv.org/pdf/1209.2137v5.pdf>“Decoding billions of integers per second through vectorization”</a> by D. Lemire and L. Boytsov.</p><p>In delta encoding we make use of variable length integers for stori [...]
-</code></pre><ul>
-<li>the block size is a multiple of 128; it is stored as a ULEB128 int</li><li>the miniblock count per block is a divisor of the block size such that their quotient, the number of values in a miniblock, is a multiple of 32; it is stored as a ULEB128 int</li><li>the total value count is stored as a ULEB128 int</li><li>the first value is stored as a zigzag ULEB128 int</li></ul><p>Each block contains</p><pre tabindex=0><code><min delta> <list of bitwidths of miniblocks> <mini [...]
-</code></pre><ul>
-<li>the min delta is a zigzag ULEB128 int (we compute a minimum as we need positive integers for bit packing)</li><li>the bitwidth of each block is stored as a byte</li><li>each miniblock is a list of bit packed ints according to the bit width stored at the begining of the block</li></ul><p>To encode a block, we will:</p><ol>
-<li>
-<p>Compute the differences between consecutive elements. For the first element in the block, use the last element in the previous block or, in the case of the first block, use the first value of the whole sequence, stored in the header.</p></li><li>
-<p>Compute the frame of reference (the minimum of the deltas in the block). Subtract this min delta from all deltas in the block. This guarantees that all values are non-negative.</p></li><li>
-<p>Encode the frame of reference (min delta) as a zigzag ULEB128 int followed by the bit widths of the miniblocks and the delta values (minus the min delta) bit packed per miniblock.</p></li></ol><p>Having multiple blocks allows us to adapt to changes in the data by changing the frame of reference (the min delta) which can result in smaller values after the subtraction which, again, means we can store them with a lower bit width.</p><p>If there are not enough values to fill the last mini [...]
+</code></pre><ul><li>the block size is a multiple of 128; it is stored as a ULEB128 int</li><li>the miniblock count per block is a divisor of the block size such that their quotient, the number of values in a miniblock, is a multiple of 32; it is stored as a ULEB128 int</li><li>the total value count is stored as a ULEB128 int</li><li>the first value is stored as a zigzag ULEB128 int</li></ul><p>Each block contains</p><pre tabindex=0><code><min delta> <list of bitwidths of minibl [...]
+</code></pre><ul><li>the min delta is a zigzag ULEB128 int (we compute a minimum as we need positive integers for bit packing)</li><li>the bitwidth of each block is stored as a byte</li><li>each miniblock is a list of bit packed ints according to the bit width stored at the begining of the block</li></ul><p>To encode a block, we will:</p><ol><li><p>Compute the differences between consecutive elements. For the first element in the block, use the last element in the previous block or, in t [...]
8 (block size), 1 (miniblock count), 5 (value count), 1 (first value)</p><p>block
1 (minimum delta), 0 (bitwidth), (no data needed for bitwidth 0)</p><h4 id=example-2>Example 2</h4><p>7, 5, 3, 1, 2, 3, 4, 5, the deltas would be</p><p>-2, -2, -2, 1, 1, 1, 1</p><p>The minimum is -2, so the relative deltas are:</p><p>0, 0, 0, 3, 3, 3, 3</p><p>The encoded data is</p><p>header:
8 (block size), 1 (miniblock count), 8 (value count), 7 (first value)</p><p>block
@@ -174,7 +92,7 @@ repetition and definition levels.</p><h3 id=a-namedeltaencadelta-encoding-delta_
The delta encoding algorithm described above stores a bit width per miniblock and is less sensitive to variations in the size of encoded integers. It is also somewhat doing RLE encoding as a block containing all the same values will be bit packed to a zero bit width thus being only a header.</p><h3 id=delta-length-byte-array-delta_length_byte_array--6>Delta-length byte array: (DELTA_LENGTH_BYTE_ARRAY = 6)</h3><p>Supported Types: BYTE_ARRAY</p><p>This encoding is always preferred over PLA [...]
encoding (DELTA_BINARY_PACKED). The byte array data follows all of the length data just
concatenated back to back. The expected savings is from the cost of encoding the lengths
-and possibly better compression in the data (it is no longer interleaved with the lengths).</p><p>The data stream looks like:</p><p><delta encoded lengths> <byte array data></p><p>For example, if the data was “Hello”, “World”, “Foobar”, “ABCDEF”:</p><p>The encoded data would be DeltaEncoding(5, 5, 6, 6) “HelloWorldFoobarABCDEF”</p><h3 id=delta-strings-delta_byte_array--7>Delta Strings: (DELTA_BYTE_ARRAY = 7)</h3><p>Supported Typ [...]
+and possibly better compression in the data (it is no longer interleaved with the lengths).</p><p>The data stream looks like:</p><p><delta encoded lengths><byte array data></p><p>For example, if the data was “Hello”, “World”, “Foobar”, “ABCDEF”:</p><p>The encoded data would be DeltaEncoding(5, 5, 6, 6) “HelloWorldFoobarABCDEF”</p><h3 id=delta-strings-delta_byte_array--7>Delta Strings: (DELTA_BYTE_ARRAY = 7)</h3><p>Supported Type [...]
sequence of strings, store the prefix length of the previous entry plus the suffix.</p><p>For a longer description, see <a href=https://en.wikipedia.org/wiki/Incremental_encoding>https://en.wikipedia.org/wiki/Incremental_encoding</a>.</p><p>This is stored as a sequence of delta-encoded prefix lengths (DELTA_BINARY_PACKED), followed by
the suffixes encoded as delta length byte arrays (DELTA_LENGTH_BYTE_ARRAY).</p><h3 id=byte-stream-split-byte_stream_split--9>Byte Stream Split: (BYTE_STREAM_SPLIT = 9)</h3><p>Supported Types: FLOAT DOUBLE</p><p>This encoding does not reduce the size of the data but can lead to a significantly better
compression ratio and speed when a compression algorithm is used afterwards.</p><p>This encoding creates K byte-streams of length N where K is the size in bytes of the data
@@ -185,50 +103,8 @@ The streams are concatenated in the following order: 0-th stream, 1-st stream, e
Original data is three 32-bit floats and for simplicity we look at their raw representation.</p><pre tabindex=0><code> Element 0 Element 1 Element 2
Bytes AA BB CC DD 00 11 22 33 A3 B4 C5 D6
</code></pre><p>After applying the transformation, the data has the following representation:</p><pre tabindex=0><code>Bytes AA 00 A3 BB 11 B4 CC 22 C5 DD 33 D6
-</code></pre></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-e4790b30bda91ce23679bbaa9c652cd0>6.2 - Checksumming</h1><p>Column chunks are composed of pages written back to back. The pages share a common header and readers can skip over page they are not interested in. The data for the page follows the header and can be compressed and/or encoded. The compression and encoding is specified in the page metadata.</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-d84ba941c88c28699d637073c804ef79>6.3 - Column Chunks</h1><p>Column chunks are composed of pages written back to back. The pages share a common header and readers can skip over page they are not interested in. The data for the page follows the header and can be compressed and/or encoded. The compression and encoding is specified in the page metadata.</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-3fa634598323d0f5132aedfc3988d28f>6.4 - Error Recovery</h1><p>If the file metadata is corrupt, the file is lost. If the column metadata is corrupt, that column chunk is lost (but column chunks for this column in other row groups are okay). If a page header is corrupt, the remaining pages in that chunk are lost. If the data within a page is corrupt, that page is lost. The file will be more resilient to corruption with smaller row groups.</p><p>Potential extension: With smaller ro [...]
-<h1 id=pg-2c0e785302c1130bf2c45e6faa8aa18f>7 - Nulls</h1><p>Nullity is encoded in the definition levels (which is run-length encoded). NULL values are not encoded in the data. For example, in a non-nested schema, a column with 1000 NULLs would be encoded with run-length encoding (0, 1000 times) for the definition levels and nothing else.</p></div></main></div></div><footer class="bg-dark py-5 row d-print-none">
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+</code></pre></div><div class=td-content style=page-break-before:always><h1 id=pg-e4790b30bda91ce23679bbaa9c652cd0>6.2 - Checksumming</h1><p>Column chunks are composed of pages written back to back. The pages share a common header and readers can skip over page they are not interested in. The data for the page follows the header and can be compressed and/or encoded. The compression and encoding is specified in the page metadata.</p></div><div class=td-content style=page-break-before:alwa [...]
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-</header><h3 id=row-group-size>Row Group Size</h3><p>Larger row groups allow for larger column chunks which makes it possible to do larger sequential IO. Larger groups also require more buffering in the write path (or a two pass write). We recommend large row groups (512MB - 1GB). Since an entire row group might need to be read, we want it to completely fit on one HDFS block. Therefore, HDFS block sizes should also be set to be larger. An optimized read setup would be: 1GB row groups, 1G [...]
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index 0841925..2db3bb4 100644
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-<title>Data Pages | Apache Parquet</title><meta name=description content="For data pages, the 3 pieces of information are encoded back to back, after the page header. We have the
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=generator content="Hugo 0.94.2"><link rel=canonical type=text/html href=/docs/file-format/data-pages/><link rel=alternate type=application/rss+xml href=/docs/file-format/data-pages/index.xml><meta name=robots content="noindex, nofollow"><link rel="shortcut icon" href=/favicons/favicon.ico><link rel=apple-touch-icon href=/favicons/ [...]
definition levels data,
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-<div class="pageinfo pageinfo-primary d-print-none">
-<p>
-This is the multi-page printable view of this section.
-<a href=# onclick="return print(),!1">Click here to print</a>.
-</p><p>
-<a href=/docs/file-format/data-pages/>Return to the regular view of this page</a>.
-</p></div><h1 class=title>Data Pages</h1><ul>
-<li>1: <a href=#pg-9aa971e751fdd370158d525ad337ef7a>Encodings</a></li><li>2: <a href=#pg-e4790b30bda91ce23679bbaa9c652cd0>Checksumming</a></li><li>3: <a href=#pg-d84ba941c88c28699d637073c804ef79>Column Chunks</a></li><li>4: <a href=#pg-3fa634598323d0f5132aedfc3988d28f>Error Recovery</a></li></ul><div class=content>
-<p>For data pages, the 3 pieces of information are encoded back to back, after the page header. We have the</p><ul>
-<li>definition levels data,</li><li>repetition levels data,</li><li>encoded values. The size of specified in the header is for all 3 pieces combined.</li></ul><p>The data for the data page is always required. The definition and repetition levels are optional, based on the schema definition. If the column is not nested (i.e. the path to the column has length 1), we do not encode the repetition levels (it would always have the value 1). For data that is required, the definition levels are [...]
-<h1 id=pg-9aa971e751fdd370158d525ad337ef7a>1 - Encodings</h1><h3 id=a-nameplainaplain-plain--0><a name=PLAIN></a>Plain: (PLAIN = 0)</h3><p>Supported Types: all</p><p>This is the plain encoding that must be supported for types. It is
+repetition levels …"><meta property="og:title" content="Data Pages"><meta property="og:description" content="The Apache Parquet Website"><meta property="og:type" content="website"><meta property="og:url" content="/docs/file-format/data-pages/"><meta property="og:site_name" content="Apache Parquet"><meta itemprop=name content="Data Pages"><meta itemprop=description content="The Apache Parquet Website"><meta name=twitter:card content="summary"><meta name=twitter:title content="Data Pages"> [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/docs/file-format/data-pages/>Return to the regular view of this page</a>.</p></div><h1 class=title>Data Pages</h1><ul><li>1: <a href=#pg-9aa971e751fdd370158d525ad337ef7a>Encodings</a></li><li>2: <a href=#pg-e4790b30bda91ce23679bbaa9c652cd0>Checksumming</a></li><li>3: <a href=#pg-d84ba941c88c28699d637073c804ef79>Column Chunks</a></li><li>4: <a href=#pg-3fa634598323d0f5132aedfc3988d28f>Error Recovery</a></li></ul [...]
intended to be the simplest encoding. Values are encoded back to back.</p><p>The plain encoding is used whenever a more efficient encoding can not be used. It
-stores the data in the following format:</p><ul>
-<li>BOOLEAN: <a href=#RLE>Bit Packed</a>, LSB first</li><li>INT32: 4 bytes little endian</li><li>INT64: 8 bytes little endian</li><li>INT96: 12 bytes little endian (deprecated)</li><li>FLOAT: 4 bytes IEEE little endian</li><li>DOUBLE: 8 bytes IEEE little endian</li><li>BYTE_ARRAY: length in 4 bytes little endian followed by the bytes contained in the array</li><li>FIXED_LEN_BYTE_ARRAY: the bytes contained in the array</li></ul><p>For native types, this outputs the data as little endian. [...]
+stores the data in the following format:</p><ul><li>BOOLEAN: <a href=#RLE>Bit Packed</a>, LSB first</li><li>INT32: 4 bytes little endian</li><li>INT64: 8 bytes little endian</li><li>INT96: 12 bytes little endian (deprecated)</li><li>FLOAT: 4 bytes IEEE little endian</li><li>DOUBLE: 8 bytes IEEE little endian</li><li>BYTE_ARRAY: length in 4 bytes little endian followed by the bytes contained in the array</li><li>FIXED_LEN_BYTE_ARRAY: the bytes contained in the array</li></ul><p>For native [...]
point types are encoded in IEEE.</p><p>For the byte array type, it encodes the length as a 4 byte little
endian, followed by the bytes.</p><h3 id=dictionary-encoding-plain_dictionary--2-and-rle_dictionary--8>Dictionary Encoding (PLAIN_DICTIONARY = 2 and RLE_DICTIONARY = 8)</h3><p>The dictionary encoding builds a dictionary of values encountered in a given column. The
dictionary will be stored in a dictionary page per column chunk. The values are stored as integers
@@ -88,9 +26,7 @@ rle-run := <rle-header> <repeated-value>
rle-header := varint-encode( (rle-run-len) << 1)
rle-run-len := *see 3 below*
repeated-value := value that is repeated, using a fixed-width of round-up-to-next-byte(bit-width)
-</code></pre><ol>
-<li>
-<p>The bit-packing here is done in a different order than the one in the <a href=#BITPACKED>deprecated bit-packing</a> encoding.
+</code></pre><ol><li><p>The bit-packing here is done in a different order than the one in the <a href=#BITPACKED>deprecated bit-packing</a> encoding.
The values are packed from the least significant bit of each byte to the most significant bit,
though the order of the bits in each value remains in the usual order of most significant to least
significant. For example, to pack the same values as the example in the deprecated encoding above:</p><p>The numbers 1 through 7 using bit width 3:</p><pre tabindex=0><code>dec value: 0 1 2 3 4 5 6 7
@@ -102,15 +38,12 @@ bit label: HIDEFABC RMNOJKLG VWXSTUPQ
when deserializing more than one byte at at time. This is because 4 bytes can be read into a
32 bit register (or 8 bytes into a 64 bit register) and values can be unpacked just by
shifting and ORing with a mask. (to make this optimization work on a big-endian machine,
-you would have to use the ordering used in the <a href=#BITPACKED>deprecated bit-packing</a> encoding)</p></li><li>
-<p>varint-encode() is ULEB-128 encoding, see <a href=https://en.wikipedia.org/wiki/LEB128>https://en.wikipedia.org/wiki/LEB128</a></p></li><li>
-<p>bit-packed-run-len and rle-run-len must be in the range [1, 2<sup>31</sup> - 1].
+you would have to use the ordering used in the <a href=#BITPACKED>deprecated bit-packing</a> encoding)</p></li><li><p>varint-encode() is ULEB-128 encoding, see <a href=https://en.wikipedia.org/wiki/LEB128>https://en.wikipedia.org/wiki/LEB128</a></p></li><li><p>bit-packed-run-len and rle-run-len must be in the range [1, 2<sup>31</sup> - 1].
This means that a Parquet implementation can always store the run length in a signed
32-bit integer. This length restriction was not part of the Parquet 2.5.0 and earlier
specifications, but longer runs were not readable by the most common Parquet
implementations so, in practice, were not safe for Parquet writers to emit.</p></li></ol><p>Note that the RLE encoding method is only supported for the following types of
-data:</p><ul>
-<li>Repetition and definition levels</li><li>Dictionary indices</li><li>Boolean values in data pages, as an alternative to PLAIN encoding</li></ul><h3 id=a-namebitpackedabit-packed-deprecated-bit_packed--4><a name=BITPACKED></a>Bit-packed (Deprecated) (BIT_PACKED = 4)</h3><p>This is a bit-packed only encoding, which is deprecated and will be replaced by the <a href=#RLE>RLE/bit-packing</a> hybrid encoding.
+data:</p><ul><li>Repetition and definition levels</li><li>Dictionary indices</li><li>Boolean values in data pages, as an alternative to PLAIN encoding</li></ul><h3 id=a-namebitpackedabit-packed-deprecated-bit_packed--4><a name=BITPACKED></a>Bit-packed (Deprecated) (BIT_PACKED = 4)</h3><p>This is a bit-packed only encoding, which is deprecated and will be replaced by the <a href=#RLE>RLE/bit-packing</a> hybrid encoding.
Each value is encoded back to back using a fixed width.
There is no padding between values (except for the last byte) which is padded with 0s.
For example, if the max repetition level was 3 (2 bits) and the max definition level as 3
@@ -123,14 +56,8 @@ bit label: ABC DEF GHI JKL MNO PQR STU VWX
bit label: ABCDEFGH IJKLMNOP QRSTUVWX
</code></pre><p>Note that the BIT_PACKED encoding method is only supported for encoding
repetition and definition levels.</p><h3 id=a-namedeltaencadelta-encoding-delta_binary_packed--5><a name=DELTAENC></a>Delta Encoding (DELTA_BINARY_PACKED = 5)</h3><p>Supported Types: INT32, INT64</p><p>This encoding is adapted from the Binary packing described in <a href=http://arxiv.org/pdf/1209.2137v5.pdf>“Decoding billions of integers per second through vectorization”</a> by D. Lemire and L. Boytsov.</p><p>In delta encoding we make use of variable length integers for stori [...]
-</code></pre><ul>
-<li>the block size is a multiple of 128; it is stored as a ULEB128 int</li><li>the miniblock count per block is a divisor of the block size such that their quotient, the number of values in a miniblock, is a multiple of 32; it is stored as a ULEB128 int</li><li>the total value count is stored as a ULEB128 int</li><li>the first value is stored as a zigzag ULEB128 int</li></ul><p>Each block contains</p><pre tabindex=0><code><min delta> <list of bitwidths of miniblocks> <mini [...]
-</code></pre><ul>
-<li>the min delta is a zigzag ULEB128 int (we compute a minimum as we need positive integers for bit packing)</li><li>the bitwidth of each block is stored as a byte</li><li>each miniblock is a list of bit packed ints according to the bit width stored at the begining of the block</li></ul><p>To encode a block, we will:</p><ol>
-<li>
-<p>Compute the differences between consecutive elements. For the first element in the block, use the last element in the previous block or, in the case of the first block, use the first value of the whole sequence, stored in the header.</p></li><li>
-<p>Compute the frame of reference (the minimum of the deltas in the block). Subtract this min delta from all deltas in the block. This guarantees that all values are non-negative.</p></li><li>
-<p>Encode the frame of reference (min delta) as a zigzag ULEB128 int followed by the bit widths of the miniblocks and the delta values (minus the min delta) bit packed per miniblock.</p></li></ol><p>Having multiple blocks allows us to adapt to changes in the data by changing the frame of reference (the min delta) which can result in smaller values after the subtraction which, again, means we can store them with a lower bit width.</p><p>If there are not enough values to fill the last mini [...]
+</code></pre><ul><li>the block size is a multiple of 128; it is stored as a ULEB128 int</li><li>the miniblock count per block is a divisor of the block size such that their quotient, the number of values in a miniblock, is a multiple of 32; it is stored as a ULEB128 int</li><li>the total value count is stored as a ULEB128 int</li><li>the first value is stored as a zigzag ULEB128 int</li></ul><p>Each block contains</p><pre tabindex=0><code><min delta> <list of bitwidths of minibl [...]
+</code></pre><ul><li>the min delta is a zigzag ULEB128 int (we compute a minimum as we need positive integers for bit packing)</li><li>the bitwidth of each block is stored as a byte</li><li>each miniblock is a list of bit packed ints according to the bit width stored at the begining of the block</li></ul><p>To encode a block, we will:</p><ol><li><p>Compute the differences between consecutive elements. For the first element in the block, use the last element in the previous block or, in t [...]
8 (block size), 1 (miniblock count), 5 (value count), 1 (first value)</p><p>block
1 (minimum delta), 0 (bitwidth), (no data needed for bitwidth 0)</p><h4 id=example-2>Example 2</h4><p>7, 5, 3, 1, 2, 3, 4, 5, the deltas would be</p><p>-2, -2, -2, 1, 1, 1, 1</p><p>The minimum is -2, so the relative deltas are:</p><p>0, 0, 0, 3, 3, 3, 3</p><p>The encoded data is</p><p>header:
8 (block size), 1 (miniblock count), 8 (value count), 7 (first value)</p><p>block
@@ -138,7 +65,7 @@ repetition and definition levels.</p><h3 id=a-namedeltaencadelta-encoding-delta_
The delta encoding algorithm described above stores a bit width per miniblock and is less sensitive to variations in the size of encoded integers. It is also somewhat doing RLE encoding as a block containing all the same values will be bit packed to a zero bit width thus being only a header.</p><h3 id=delta-length-byte-array-delta_length_byte_array--6>Delta-length byte array: (DELTA_LENGTH_BYTE_ARRAY = 6)</h3><p>Supported Types: BYTE_ARRAY</p><p>This encoding is always preferred over PLA [...]
encoding (DELTA_BINARY_PACKED). The byte array data follows all of the length data just
concatenated back to back. The expected savings is from the cost of encoding the lengths
-and possibly better compression in the data (it is no longer interleaved with the lengths).</p><p>The data stream looks like:</p><p><delta encoded lengths> <byte array data></p><p>For example, if the data was “Hello”, “World”, “Foobar”, “ABCDEF”:</p><p>The encoded data would be DeltaEncoding(5, 5, 6, 6) “HelloWorldFoobarABCDEF”</p><h3 id=delta-strings-delta_byte_array--7>Delta Strings: (DELTA_BYTE_ARRAY = 7)</h3><p>Supported Typ [...]
+and possibly better compression in the data (it is no longer interleaved with the lengths).</p><p>The data stream looks like:</p><p><delta encoded lengths><byte array data></p><p>For example, if the data was “Hello”, “World”, “Foobar”, “ABCDEF”:</p><p>The encoded data would be DeltaEncoding(5, 5, 6, 6) “HelloWorldFoobarABCDEF”</p><h3 id=delta-strings-delta_byte_array--7>Delta Strings: (DELTA_BYTE_ARRAY = 7)</h3><p>Supported Type [...]
sequence of strings, store the prefix length of the previous entry plus the suffix.</p><p>For a longer description, see <a href=https://en.wikipedia.org/wiki/Incremental_encoding>https://en.wikipedia.org/wiki/Incremental_encoding</a>.</p><p>This is stored as a sequence of delta-encoded prefix lengths (DELTA_BINARY_PACKED), followed by
the suffixes encoded as delta length byte arrays (DELTA_LENGTH_BYTE_ARRAY).</p><h3 id=byte-stream-split-byte_stream_split--9>Byte Stream Split: (BYTE_STREAM_SPLIT = 9)</h3><p>Supported Types: FLOAT DOUBLE</p><p>This encoding does not reduce the size of the data but can lead to a significantly better
compression ratio and speed when a compression algorithm is used afterwards.</p><p>This encoding creates K byte-streams of length N where K is the size in bytes of the data
@@ -149,49 +76,8 @@ The streams are concatenated in the following order: 0-th stream, 1-st stream, e
Original data is three 32-bit floats and for simplicity we look at their raw representation.</p><pre tabindex=0><code> Element 0 Element 1 Element 2
Bytes AA BB CC DD 00 11 22 33 A3 B4 C5 D6
</code></pre><p>After applying the transformation, the data has the following representation:</p><pre tabindex=0><code>Bytes AA 00 A3 BB 11 B4 CC 22 C5 DD 33 D6
-</code></pre></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-e4790b30bda91ce23679bbaa9c652cd0>2 - Checksumming</h1><p>Column chunks are composed of pages written back to back. The pages share a common header and readers can skip over page they are not interested in. The data for the page follows the header and can be compressed and/or encoded. The compression and encoding is specified in the page metadata.</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-d84ba941c88c28699d637073c804ef79>3 - Column Chunks</h1><p>Column chunks are composed of pages written back to back. The pages share a common header and readers can skip over page they are not interested in. The data for the page follows the header and can be compressed and/or encoded. The compression and encoding is specified in the page metadata.</p></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-3fa634598323d0f5132aedfc3988d28f>4 - Error Recovery</h1><p>If the file metadata is corrupt, the file is lost. If the column metadata is corrupt, that column chunk is lost (but column chunks for this column in other row groups are okay). If a page header is corrupt, the remaining pages in that chunk are lost. If the data within a page is corrupt, that page is lost. The file will be more resilient to corruption with smaller row groups.</p><p>Potential extension: With smaller row [...]
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+</code></pre></div><div class=td-content style=page-break-before:always><h1 id=pg-e4790b30bda91ce23679bbaa9c652cd0>2 - Checksumming</h1><p>Column chunks are composed of pages written back to back. The pages share a common header and readers can skip over page they are not interested in. The data for the page follows the header and can be compressed and/or encoded. The compression and encoding is specified in the page metadata.</p></div><div class=td-content style=page-break-before:always [...]
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diff --git a/output/docs/file-format/data-pages/checksumming/index.html b/output/docs/file-format/data-pages/checksumming/index.html
index 5314981..abfa537 100644
--- a/output/docs/file-format/data-pages/checksumming/index.html
+++ b/output/docs/file-format/data-pages/checksumming/index.html
@@ -1,186 +1,10 @@
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diff --git a/output/docs/file-format/data-pages/columnchunks/index.html b/output/docs/file-format/data-pages/columnchunks/index.html
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diff --git a/output/docs/file-format/data-pages/encodings/index.html b/output/docs/file-format/data-pages/encodings/index.html
index ce05c13..b1a1073 100644
--- a/output/docs/file-format/data-pages/encodings/index.html
+++ b/output/docs/file-format/data-pages/encodings/index.html
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+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=generator content="Hugo 0.94.2"><meta name=robots content="index, follow"><link rel="shortcut icon" href=/favicons/favicon.ico><link rel=apple-touch-icon href=/favicons/apple-touch-icon-180x180.png sizes=180x180><link rel=icon type=image/png href=/favicons/favicon-16x16.png sizes=16x16><link rel=icon type=image/png href=/favicons/ [...]
Supported Types: all
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This is the plain encoding that must be supported for types. It is intended to be the simplest encoding. Values are encoded back to back.
The plain encoding is used whenever a more efficient encoding can not be used. It stores the data in the following format:
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This is the plain encoding that must be supported for types. It is intended to be the simplest encoding. Values are encoded back to back.
The plain encoding is used whenever a more efficient encoding can not be used. It stores the data in the following format:
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-<li><a href=#a-nameplainaplain-plain--0><a name=PLAIN></a>Plain: (PLAIN = 0)</a></li><li><a href=#dictionary-encoding-plain_dictionary--2-and-rle_dictionary--8>Dictionary Encoding (PLAIN_DICTIONARY = 2 and RLE_DICTIONARY = 8)</a></li><li><a href=#a-namerlearun-length-encoding--bit-packing-hybrid-rle--3><a name=RLE></a>Run Length Encoding / Bit-Packing Hybrid (RLE = 3)</a></li><li><a href=#a-namebitpackedabit-packed-deprecated-bit_packed--4><a name=BITPACKED></a>Bit-packed (Deprecated) (B [...]
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-<a href=/docs/file-format/data-pages/encodings/>Encodings</a>
-</li></ol></nav><div class=td-content>
-<h1>Encodings</h1><header class=article-meta>
-</header><h3 id=a-nameplainaplain-plain--0><a name=PLAIN></a>Plain: (PLAIN = 0)</h3><p>Supported Types: all</p><p>This is the plain encoding that must be supported for types. It is
+<a id=print href=/docs/file-format/data-pages/_print/><i class="fa fa-print fa-fw"></i> Print entire section</a></div><div class=td-toc><nav id=TableOfContents><ul><li><ul><li><a href=#a-nameplainaplain-plain--0><a name=PLAIN></a>Plain: (PLAIN = 0)</a></li><li><a href=#dictionary-encoding-plain_dictionary--2-and-rle_dictionary--8>Dictionary Encoding (PLAIN_DICTIONARY = 2 and RLE_DICTIONARY = 8)</a></li><li><a href=#a-namerlearun-length-encoding--bit-packing-hybrid-rle--3><a name=RLE></a> [...]
intended to be the simplest encoding. Values are encoded back to back.</p><p>The plain encoding is used whenever a more efficient encoding can not be used. It
-stores the data in the following format:</p><ul>
-<li>BOOLEAN: <a href=#RLE>Bit Packed</a>, LSB first</li><li>INT32: 4 bytes little endian</li><li>INT64: 8 bytes little endian</li><li>INT96: 12 bytes little endian (deprecated)</li><li>FLOAT: 4 bytes IEEE little endian</li><li>DOUBLE: 8 bytes IEEE little endian</li><li>BYTE_ARRAY: length in 4 bytes little endian followed by the bytes contained in the array</li><li>FIXED_LEN_BYTE_ARRAY: the bytes contained in the array</li></ul><p>For native types, this outputs the data as little endian. [...]
+stores the data in the following format:</p><ul><li>BOOLEAN: <a href=#RLE>Bit Packed</a>, LSB first</li><li>INT32: 4 bytes little endian</li><li>INT64: 8 bytes little endian</li><li>INT96: 12 bytes little endian (deprecated)</li><li>FLOAT: 4 bytes IEEE little endian</li><li>DOUBLE: 8 bytes IEEE little endian</li><li>BYTE_ARRAY: length in 4 bytes little endian followed by the bytes contained in the array</li><li>FIXED_LEN_BYTE_ARRAY: the bytes contained in the array</li></ul><p>For native [...]
point types are encoded in IEEE.</p><p>For the byte array type, it encodes the length as a 4 byte little
endian, followed by the bytes.</p><h3 id=dictionary-encoding-plain_dictionary--2-and-rle_dictionary--8>Dictionary Encoding (PLAIN_DICTIONARY = 2 and RLE_DICTIONARY = 8)</h3><p>The dictionary encoding builds a dictionary of values encountered in a given column. The
dictionary will be stored in a dictionary page per column chunk. The values are stored as integers
@@ -180,9 +39,7 @@ rle-run := <rle-header> <repeated-value>
rle-header := varint-encode( (rle-run-len) << 1)
rle-run-len := *see 3 below*
repeated-value := value that is repeated, using a fixed-width of round-up-to-next-byte(bit-width)
-</code></pre><ol>
-<li>
-<p>The bit-packing here is done in a different order than the one in the <a href=#BITPACKED>deprecated bit-packing</a> encoding.
+</code></pre><ol><li><p>The bit-packing here is done in a different order than the one in the <a href=#BITPACKED>deprecated bit-packing</a> encoding.
The values are packed from the least significant bit of each byte to the most significant bit,
though the order of the bits in each value remains in the usual order of most significant to least
significant. For example, to pack the same values as the example in the deprecated encoding above:</p><p>The numbers 1 through 7 using bit width 3:</p><pre tabindex=0><code>dec value: 0 1 2 3 4 5 6 7
@@ -194,15 +51,12 @@ bit label: HIDEFABC RMNOJKLG VWXSTUPQ
when deserializing more than one byte at at time. This is because 4 bytes can be read into a
32 bit register (or 8 bytes into a 64 bit register) and values can be unpacked just by
shifting and ORing with a mask. (to make this optimization work on a big-endian machine,
-you would have to use the ordering used in the <a href=#BITPACKED>deprecated bit-packing</a> encoding)</p></li><li>
-<p>varint-encode() is ULEB-128 encoding, see <a href=https://en.wikipedia.org/wiki/LEB128>https://en.wikipedia.org/wiki/LEB128</a></p></li><li>
-<p>bit-packed-run-len and rle-run-len must be in the range [1, 2<sup>31</sup> - 1].
+you would have to use the ordering used in the <a href=#BITPACKED>deprecated bit-packing</a> encoding)</p></li><li><p>varint-encode() is ULEB-128 encoding, see <a href=https://en.wikipedia.org/wiki/LEB128>https://en.wikipedia.org/wiki/LEB128</a></p></li><li><p>bit-packed-run-len and rle-run-len must be in the range [1, 2<sup>31</sup> - 1].
This means that a Parquet implementation can always store the run length in a signed
32-bit integer. This length restriction was not part of the Parquet 2.5.0 and earlier
specifications, but longer runs were not readable by the most common Parquet
implementations so, in practice, were not safe for Parquet writers to emit.</p></li></ol><p>Note that the RLE encoding method is only supported for the following types of
-data:</p><ul>
-<li>Repetition and definition levels</li><li>Dictionary indices</li><li>Boolean values in data pages, as an alternative to PLAIN encoding</li></ul><h3 id=a-namebitpackedabit-packed-deprecated-bit_packed--4><a name=BITPACKED></a>Bit-packed (Deprecated) (BIT_PACKED = 4)</h3><p>This is a bit-packed only encoding, which is deprecated and will be replaced by the <a href=#RLE>RLE/bit-packing</a> hybrid encoding.
+data:</p><ul><li>Repetition and definition levels</li><li>Dictionary indices</li><li>Boolean values in data pages, as an alternative to PLAIN encoding</li></ul><h3 id=a-namebitpackedabit-packed-deprecated-bit_packed--4><a name=BITPACKED></a>Bit-packed (Deprecated) (BIT_PACKED = 4)</h3><p>This is a bit-packed only encoding, which is deprecated and will be replaced by the <a href=#RLE>RLE/bit-packing</a> hybrid encoding.
Each value is encoded back to back using a fixed width.
There is no padding between values (except for the last byte) which is padded with 0s.
For example, if the max repetition level was 3 (2 bits) and the max definition level as 3
@@ -215,14 +69,8 @@ bit label: ABC DEF GHI JKL MNO PQR STU VWX
bit label: ABCDEFGH IJKLMNOP QRSTUVWX
</code></pre><p>Note that the BIT_PACKED encoding method is only supported for encoding
repetition and definition levels.</p><h3 id=a-namedeltaencadelta-encoding-delta_binary_packed--5><a name=DELTAENC></a>Delta Encoding (DELTA_BINARY_PACKED = 5)</h3><p>Supported Types: INT32, INT64</p><p>This encoding is adapted from the Binary packing described in <a href=http://arxiv.org/pdf/1209.2137v5.pdf>“Decoding billions of integers per second through vectorization”</a> by D. Lemire and L. Boytsov.</p><p>In delta encoding we make use of variable length integers for stori [...]
-</code></pre><ul>
-<li>the block size is a multiple of 128; it is stored as a ULEB128 int</li><li>the miniblock count per block is a divisor of the block size such that their quotient, the number of values in a miniblock, is a multiple of 32; it is stored as a ULEB128 int</li><li>the total value count is stored as a ULEB128 int</li><li>the first value is stored as a zigzag ULEB128 int</li></ul><p>Each block contains</p><pre tabindex=0><code><min delta> <list of bitwidths of miniblocks> <mini [...]
-</code></pre><ul>
-<li>the min delta is a zigzag ULEB128 int (we compute a minimum as we need positive integers for bit packing)</li><li>the bitwidth of each block is stored as a byte</li><li>each miniblock is a list of bit packed ints according to the bit width stored at the begining of the block</li></ul><p>To encode a block, we will:</p><ol>
-<li>
-<p>Compute the differences between consecutive elements. For the first element in the block, use the last element in the previous block or, in the case of the first block, use the first value of the whole sequence, stored in the header.</p></li><li>
-<p>Compute the frame of reference (the minimum of the deltas in the block). Subtract this min delta from all deltas in the block. This guarantees that all values are non-negative.</p></li><li>
-<p>Encode the frame of reference (min delta) as a zigzag ULEB128 int followed by the bit widths of the miniblocks and the delta values (minus the min delta) bit packed per miniblock.</p></li></ol><p>Having multiple blocks allows us to adapt to changes in the data by changing the frame of reference (the min delta) which can result in smaller values after the subtraction which, again, means we can store them with a lower bit width.</p><p>If there are not enough values to fill the last mini [...]
+</code></pre><ul><li>the block size is a multiple of 128; it is stored as a ULEB128 int</li><li>the miniblock count per block is a divisor of the block size such that their quotient, the number of values in a miniblock, is a multiple of 32; it is stored as a ULEB128 int</li><li>the total value count is stored as a ULEB128 int</li><li>the first value is stored as a zigzag ULEB128 int</li></ul><p>Each block contains</p><pre tabindex=0><code><min delta> <list of bitwidths of minibl [...]
+</code></pre><ul><li>the min delta is a zigzag ULEB128 int (we compute a minimum as we need positive integers for bit packing)</li><li>the bitwidth of each block is stored as a byte</li><li>each miniblock is a list of bit packed ints according to the bit width stored at the begining of the block</li></ul><p>To encode a block, we will:</p><ol><li><p>Compute the differences between consecutive elements. For the first element in the block, use the last element in the previous block or, in t [...]
8 (block size), 1 (miniblock count), 5 (value count), 1 (first value)</p><p>block
1 (minimum delta), 0 (bitwidth), (no data needed for bitwidth 0)</p><h4 id=example-2>Example 2</h4><p>7, 5, 3, 1, 2, 3, 4, 5, the deltas would be</p><p>-2, -2, -2, 1, 1, 1, 1</p><p>The minimum is -2, so the relative deltas are:</p><p>0, 0, 0, 3, 3, 3, 3</p><p>The encoded data is</p><p>header:
8 (block size), 1 (miniblock count), 8 (value count), 7 (first value)</p><p>block
@@ -230,7 +78,7 @@ repetition and definition levels.</p><h3 id=a-namedeltaencadelta-encoding-delta_
The delta encoding algorithm described above stores a bit width per miniblock and is less sensitive to variations in the size of encoded integers. It is also somewhat doing RLE encoding as a block containing all the same values will be bit packed to a zero bit width thus being only a header.</p><h3 id=delta-length-byte-array-delta_length_byte_array--6>Delta-length byte array: (DELTA_LENGTH_BYTE_ARRAY = 6)</h3><p>Supported Types: BYTE_ARRAY</p><p>This encoding is always preferred over PLA [...]
encoding (DELTA_BINARY_PACKED). The byte array data follows all of the length data just
concatenated back to back. The expected savings is from the cost of encoding the lengths
-and possibly better compression in the data (it is no longer interleaved with the lengths).</p><p>The data stream looks like:</p><p><delta encoded lengths> <byte array data></p><p>For example, if the data was “Hello”, “World”, “Foobar”, “ABCDEF”:</p><p>The encoded data would be DeltaEncoding(5, 5, 6, 6) “HelloWorldFoobarABCDEF”</p><h3 id=delta-strings-delta_byte_array--7>Delta Strings: (DELTA_BYTE_ARRAY = 7)</h3><p>Supported Typ [...]
+and possibly better compression in the data (it is no longer interleaved with the lengths).</p><p>The data stream looks like:</p><p><delta encoded lengths><byte array data></p><p>For example, if the data was “Hello”, “World”, “Foobar”, “ABCDEF”:</p><p>The encoded data would be DeltaEncoding(5, 5, 6, 6) “HelloWorldFoobarABCDEF”</p><h3 id=delta-strings-delta_byte_array--7>Delta Strings: (DELTA_BYTE_ARRAY = 7)</h3><p>Supported Type [...]
sequence of strings, store the prefix length of the previous entry plus the suffix.</p><p>For a longer description, see <a href=https://en.wikipedia.org/wiki/Incremental_encoding>https://en.wikipedia.org/wiki/Incremental_encoding</a>.</p><p>This is stored as a sequence of delta-encoded prefix lengths (DELTA_BINARY_PACKED), followed by
the suffixes encoded as delta length byte arrays (DELTA_LENGTH_BYTE_ARRAY).</p><h3 id=byte-stream-split-byte_stream_split--9>Byte Stream Split: (BYTE_STREAM_SPLIT = 9)</h3><p>Supported Types: FLOAT DOUBLE</p><p>This encoding does not reduce the size of the data but can lead to a significantly better
compression ratio and speed when a compression algorithm is used afterwards.</p><p>This encoding creates K byte-streams of length N where K is the size in bytes of the data
@@ -241,48 +89,8 @@ The streams are concatenated in the following order: 0-th stream, 1-st stream, e
Original data is three 32-bit floats and for simplicity we look at their raw representation.</p><pre tabindex=0><code> Element 0 Element 1 Element 2
Bytes AA BB CC DD 00 11 22 33 A3 B4 C5 D6
</code></pre><p>After applying the transformation, the data has the following representation:</p><pre tabindex=0><code>Bytes AA 00 A3 BB 11 B4 CC 22 C5 DD 33 D6
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diff --git a/output/docs/file-format/data-pages/errorrecovery/index.html b/output/docs/file-format/data-pages/errorrecovery/index.html
index ba8eaae..2c611e5 100644
--- a/output/docs/file-format/data-pages/errorrecovery/index.html
+++ b/output/docs/file-format/data-pages/errorrecovery/index.html
@@ -1,186 +1,10 @@
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-<h1>Error Recovery</h1><header class=article-meta>
-</header><p>If the file metadata is corrupt, the file is lost. If the column metadata is corrupt, that column chunk is lost (but column chunks for this column in other row groups are okay). If a page header is corrupt, the remaining pages in that chunk are lost. If the data within a page is corrupt, that page is lost. The file will be more resilient to corruption with smaller row groups.</p><p>Potential extension: With smaller row groups, the biggest issue is placing the file metadata at [...]
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-</header><p>For data pages, the 3 pieces of information are encoded back to back, after the page header. We have the</p><ul>
-<li>definition levels data,</li><li>repetition levels data,</li><li>encoded values. The size of specified in the header is for all 3 pieces combined.</li></ul><p>The data for the data page is always required. The definition and repetition levels are optional, based on the schema definition. If the column is not nested (i.e. the path to the column has length 1), we do not encode the repetition levels (it would always have the value 1). For data that is required, the definition levels are [...]
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-</header><p>There are many places in the format for compatible extensions:</p><p>File Version: The file metadata contains a version.
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-<h1>File Format</h1><div class=lead>Documentation about the Parquet File Format.</div><header class=article-meta>
-</header><p>This file and the thrift definition should be read together to understand the format.</p><pre tabindex=0><code>4-byte magic number "PAR1"
+<a id=print href=/docs/file-format/_print/><i class="fa fa-print fa-fw"></i> Print entire section</a></div></aside><main class="col-12 col-md-9 col-xl-8 pl-md-5" role=main><nav aria-label=breadcrumb class=td-breadcrumbs><ol class=breadcrumb><li class=breadcrumb-item><a href=/docs/>Documentation</a></li><li class="breadcrumb-item active" aria-current=page><a href=/docs/file-format/>File Format</a></li></ol></nav><div class=td-content><h1>File Format</h1><div class=lead>Documentation about [...]
<Column 1 Chunk 1 + Column Metadata>
<Column 2 Chunk 1 + Column Metadata>
...
@@ -154,71 +24,8 @@
File Metadata
4-byte length in bytes of file metadata
4-byte magic number "PAR1"
-</code></pre><p>In the above example, there are N columns in this table, split into M row groups. The file metadata contains the locations of all the column metadata start locations. More details on what is contained in the metadata can be found in the thrift files.</p><p>Metadata is written after the data to allow for single pass writing.</p><p>Readers are expected to first read the file metadata to find all the column chunks they are interested in. The columns chunks should then be rea [...]
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+</code></pre><p>In the above example, there are N columns in this table, split into M row groups. The file metadata contains the locations of all the column metadata start locations. More details on what is contained in the metadata can be found in the thrift files.</p><p>Metadata is written after the data to allow for single pass writing.</p><p>Readers are expected to first read the file metadata to find all the column chunks they are interested in. The columns chunks should then be rea [...]
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-<p>The types supported by the file format are intended to be as minimal as possible, with a focus on how the types effect on disk storage. For example, 16-bit ints are not explicitly supported in the storage format since they are covered by 32-bit ints with an efficient encoding. This reduces the complexity of implementing readers and writers for the format. The types are:</p><pre tabindex=0><code>BOOLEAN: 1 bit boolean
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=generator content="Hugo 0.94.2"><link rel=canonical type=text/html href=/docs/file-format/types/><link rel=alternate type=application/rss+xml href=/docs/file-format/types/index.xml><meta name=robots content="noindex, nofollow"><link rel="shortcut icon" href=/favicons/favicon.ico><link rel=apple-touch-icon href=/favicons/apple-touc [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/docs/file-format/types/>Return to the regular view of this page</a>.</p></div><h1 class=title>Types</h1><ul><li>1: <a href=#pg-967cf8be84f5efbfd2e57475707b79b1>Logical Types</a></li></ul><div class=content><p>The types supported by the file format are intended to be as minimal as possible, with a focus on how the types effect on disk storage. For example, 16-bit ints are not explicitly supported in the storage [...]
INT32: 32 bit signed ints
INT64: 64 bit signed ints
INT96: 96 bit signed ints
FLOAT: IEEE 32-bit floating point values
DOUBLE: IEEE 64-bit floating point values
BYTE_ARRAY: arbitrarily long byte arrays.
-</code></pre></div></div><div class=td-content style=page-break-before:always>
-<h1 id=pg-967cf8be84f5efbfd2e57475707b79b1>1 - Logical Types</h1><p>Logical types are used to extend the types that parquet can be used to store, by specifying how the primitive types should be interpreted. This keeps the set of primitive types to a minimum and reuses parquet’s efficient encodings. For example, strings are stored as byte arrays (binary) with a UTF8 annotation. These annotations define how to further decode and interpret the data. Annotations are stored as a ConvertedType [...]
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+</code></pre></div></div><div class=td-content style=page-break-before:always><h1 id=pg-967cf8be84f5efbfd2e57475707b79b1>1 - Logical Types</h1><p>Logical types are used to extend the types that parquet can be used to store, by specifying how the primitive types should be interpreted. This keeps the set of primitive types to a minimum and reuses parquet’s efficient encodings. For example, strings are stored as byte arrays (binary) with a UTF8 annotation. These annotations define how to fu [...]
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-<h1>Types</h1><header class=article-meta>
-</header><p>The types supported by the file format are intended to be as minimal as possible, with a focus on how the types effect on disk storage. For example, 16-bit ints are not explicitly supported in the storage format since they are covered by 32-bit ints with an efficient encoding. This reduces the complexity of implementing readers and writers for the format. The types are:</p><pre tabindex=0><code>BOOLEAN: 1 bit boolean
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INT32: 32 bit signed ints
INT64: 64 bit signed ints
INT96: 96 bit signed ints
FLOAT: IEEE 32-bit floating point values
DOUBLE: IEEE 64-bit floating point values
BYTE_ARRAY: arbitrarily long byte arrays.
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-</header><p>Logical types are used to extend the types that parquet can be used to store, by specifying how the primitive types should be interpreted. This keeps the set of primitive types to a minimum and reuses parquet’s efficient encodings. For example, strings are stored as byte arrays (binary) with a UTF8 annotation. These annotations define how to further decode and interpret the data. Annotations are stored as a ConvertedType in the file metadata and are documented in LogicalTypes [...]
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-</h5><p>Various resources to learn about the Parquet File Format.</p></div></div><div class="text-muted mt-5 pt-3 border-top">
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+<a id=print href=/docs/_print/><i class="fa fa-print fa-fw"></i> Print entire section</a></div></aside><main class="col-12 col-md-9 col-xl-8 pl-md-5" role=main><nav aria-label=breadcrumb class="td-breadcrumbs td-breadcrumbs__single"><ol class=breadcrumb><li class="breadcrumb-item active" aria-current=page><a href=/docs/>Documentation</a></li></ol></nav><div class=td-content><h1>Documentation</h1><header class=article-meta></header><p>Welcome to the documentation for Apache Parquet. Here, [...]
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diff --git a/output/docs/index.xml b/output/docs/index.xml
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@@ -200,7 +200,7 @@ Bytes AA BB CC DD 00 11 22 33 A3 B4 C5 D6
<p>The <a href="https://github.com/apache/parquet-mr">parquet-mr</a> project contains multiple sub-modules, which implement the core components of reading and writing a nested, column-oriented data stream, map this core onto the parquet format, and provide Hadoop Input/Output Formats, Pig loaders, and other Java-based utilities for interacting with Parquet.</p>
<p>The <a href="https://github.com/apache/parquet-cpp">parquet-cpp</a> project is a C++ library to read-write Parquet files.</p>
<p>The <a href="https://github.com/apache/arrow-rs/tree/master/parquet">parquet-rs</a> project is a Rust library to read-write Parquet files.</p>
-<p>The <a href="https://github.com/Parquet/parquet-compatibility">parquet-compatibility</a> project (deprecated) contains compatibility tests that can be used to verify that implementations in different languages can read and write each other’s files. As of January 2022 compatibility tests only exist up to version 1.2.0.</p></description></item><item><title>Docs: Spark Summit 2020</title><link>/docs/learning-resources/spark-summit-2020/</link><pubDate>Mon, 01 Jan 0001 00:00:0 [...]
+<p>The <a href="https://github.com/Parquet/parquet-compatibility">parquet-compatibility</a> project (deprecated) contains compatibility tests that can be used to verify that implementations in different languages can read and write each other’s files. As of January 2022 compatibility tests only exist up to version 1.2.0.</p></description></item><item><title>Docs: Spark Summit 2020</title><link>/docs/learning-resources/presentations/spark-summit-2020/</link><pubDate>Mon, 01 Ja [...]
<p><a href="https://www.slideshare.net/databricks/the-apache-spark-file-format-ecosystem">Slides</a></p>
<div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;">
<iframe src="https://www.youtube.com/embed/auNAzC3AU18" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" allowfullscreen title="YouTube Video"></iframe>
@@ -208,7 +208,7 @@ Bytes AA BB CC DD 00 11 22 33 A3 B4 C5 D6
<p>Building
Java resources can be build using <code>mvn package</code>. The current stable version should always be available from Maven Central.</p>
<p>C++ thrift resources can be generated via make.</p>
-<p>Thrift can be also code-genned into any other thrift-supported language.</p></description></item><item><title>Docs: Hadoop Summit 2014</title><link>/docs/learning-resources/hadoop-summit-2014/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/docs/learning-resources/hadoop-summit-2014/</guid><description>
+<p>Thrift can be also code-genned into any other thrift-supported language.</p></description></item><item><title>Docs: Hadoop Summit 2014</title><link>/docs/learning-resources/presentations/hadoop-summit-2014/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/docs/learning-resources/presentations/hadoop-summit-2014/</guid><description>
<p><a href="https://www.slideshare.net/cloudera/hadoop-summit-36479635">Slides</a></p>
<div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;">
<iframe src="https://www.youtube.com/embed/MZNjmfx4LMc" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" allowfullscreen title="YouTube Video"></iframe>
@@ -216,7 +216,7 @@ Java resources can be build using <code>mvn package</code>. The current st
<p>We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem.</p>
<p>Parquet is built from the ground up with complex nested data structures in mind, and uses the <a href="https://github.com/julienledem/redelm/wiki/The-striping-and-assembly-algorithms-from-the-Dremel-paper">record shredding and assembly algorithm</a> described in the Dremel paper. We believe this approach is superior to simple flattening of nested name spaces.</p>
<p>Parquet is built to support very efficient compression and encoding schemes. Multiple projects have demonstrated the performance impact of applying the right compression and encoding scheme to the data. Parquet allows compression schemes to be specified on a per-column level, and is future-proofed to allow adding more encodings as they are invented and implemented.</p>
-<p>Parquet is built to be used by anyone. The Hadoop ecosystem is rich with data processing frameworks, and we are not interested in playing favorites. We believe that an efficient, well-implemented columnar storage substrate should be useful to all frameworks without the cost of extensive and difficult to set up dependencies.</p></description></item><item><title>Docs: #CONF 2014</title><link>/docs/learning-resources/conf-2014-parquet-summit-twitter/</link><pubDate>Mon, 01 Jan 0001 [...]
+<p>Parquet is built to be used by anyone. The Hadoop ecosystem is rich with data processing frameworks, and we are not interested in playing favorites. We believe that an efficient, well-implemented columnar storage substrate should be useful to all frameworks without the cost of extensive and difficult to set up dependencies.</p></description></item><item><title>Docs: #CONF 2014</title><link>/docs/learning-resources/presentations/conf-2014-parquet-summit-twitter/</link><pubDate>Mo [...]
<div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;">
<iframe src="https://www.youtube.com/embed/Qfp6Uv1UrA0" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" allowfullscreen title="YouTube Video"></iframe>
</div></description></item><item><title>Docs: Contributing to Parquet</title><link>/docs/contribution-guidelines/contributing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/docs/contribution-guidelines/contributing/</guid><description>
@@ -385,7 +385,7 @@ Changes are listed at: https://github.com/apache/parquet-mr/blob/apache-parquet-
This release can be downloaded from: https://parquet.apache.org/downloads/
Java artifacts are available from Maven Central.
Thanks to everyone for contributing!
-</code></pre></description></item><item><title>Docs: Strata 2013</title><link>/docs/learning-resources/strata-2013/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/docs/learning-resources/strata-2013/</guid><description>
+</code></pre></description></item><item><title>Docs: Strata 2013</title><link>/docs/learning-resources/presentations/strata-2013/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/docs/learning-resources/presentations/strata-2013/</guid><description>
<p><a href="https://www.slideshare.net/julienledem/parquet-stratany-hadoopworld2013">Slides</a></p></description></item><item><title>Docs: Configurations</title><link>/docs/file-format/configurations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/docs/file-format/configurations/</guid><description>
<h3 id="row-group-size">Row Group Size</h3>
<p>Larger row groups allow for larger column chunks which makes it possible to do larger sequential IO. Larger groups also require more buffering in the write path (or a two pass write). We recommend large row groups (512MB - 1GB). Since an entire row group might need to be read, we want it to completely fit on one HDFS block. Therefore, HDFS block sizes should also be set to be larger. An optimized read setup would be: 1GB row groups, 1GB HDFS block size, 1 HDFS block per HDFS file.</p>
diff --git a/output/docs/learning-resources/_print/index.html b/output/docs/learning-resources/_print/index.html
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+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/docs/learning-resources/>Return to the regular view of this page</a>.</p></div><h1 class=title>Resources</h1><div class=lead>Various resources to learn about the Parquet File Format.</div><ul><li>1: <a href=#pg-43142841c91c2a4b748c50532b346e58>Blog Posts</a></li><ul></ul><li>2: <a href=#pg-f3159f69f9e977c1d1fe8fe51508c564>Presentations</a></li><ul><li>2.1: <a href=#pg-2bab08e87517b89925ede9b22bc0b0a1>Spark Summ [...]
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+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/docs/learning-resources/blog-posts/>Return to the regular view of this page</a>.</p></div><h1 class=title>Blog Posts</h1><div class=lead>Blog posts with content about the Parquet File Format.</div><ul></ul><div class=content><ul><li><p><a href=https://eng.uber.com/cost-efficiency-big-data/>Apache Parquet: Cost Efficiency @ Scale in Big Data File Format</a></p></li><li><p><a href=https://eng.uber.com/one-stone-t [...]
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diff --git a/output/docs/learning-resources/index.xml b/output/docs/learning-resources/index.xml
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-<iframe src="https://www.youtube.com/embed/MZNjmfx4LMc" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" allowfullscreen title="YouTube Video"></iframe>
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-</div></description></item><item><title>Docs: Strata 2013</title><link>/docs/learning-resources/strata-2013/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/docs/learning-resources/strata-2013/</guid><description>
-<p><a href="https://www.slideshare.net/julienledem/parquet-stratany-hadoopworld2013">Slides</a></p></description></item></channel></rss>
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+<li>
+<p><a href="https://eng.uber.com/cost-efficiency-big-data/">Apache Parquet: Cost Efficiency @ Scale in Big Data File Format</a></p>
+</li>
+<li>
+<p><a href="https://eng.uber.com/one-stone-three-birds-finer-grained-encryption-apache-parquet/">One Stone, Three Birds: Finer-Grained Encryption @ Apache Parquet</a></p>
+</li>
+</ul></description></item><item><title>Docs: Presentations</title><link>/docs/learning-resources/presentations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/docs/learning-resources/presentations/</guid><description/></item></channel></rss>
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new file mode 100644
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@@ -0,0 +1,10 @@
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=generator content="Hugo 0.94.2"><link rel=canonical type=text/html href=/docs/learning-resources/presentations/><link rel=alternate type=application/rss+xml href=/docs/learning-resources/presentations/index.xml><meta name=robots content="noindex, nofollow"><link rel="shortcut icon" href=/favicons/favicon.ico><link rel=apple-touch- [...]
+"><meta property="og:title" content="Presentations"><meta property="og:description" content="Presentations with content about the Parquet File Format.
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+"><meta name=twitter:card content="summary"><meta name=twitter:title content="Presentations"><meta name=twitter:description content="Presentations with content about the Parquet File Format.
+"><link rel=preload href=/scss/main.min.f24258008619674c862060e44d207ffd589754b695d7d90fce36dbc880379412.css as=style><link href=/scss/main.min.f24258008619674c862060e44d207ffd589754b695d7d90fce36dbc880379412.css rel=stylesheet integrity><script src=https://code.jquery.com/jquery-3.6.0.min.js integrity=sha384-vtXRMe3mGCbOeY7l30aIg8H9p3GdeSe4IFlP6G8JMa7o7lXvnz3GFKzPxzJdPfGK crossorigin=anonymous></script></head><body class=td-section><header><nav class="js-navbar-scroll navbar navbar-expa [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/docs/learning-resources/presentations/>Return to the regular view of this page</a>.</p></div><h1 class=title>Presentations</h1><div class=lead>Presentations with content about the Parquet File Format.</div><ul><li>1: <a href=#pg-2bab08e87517b89925ede9b22bc0b0a1>Spark Summit 2020</a></li><li>2: <a href=#pg-a62fdfee9bed68c21f683b06c19ef49a>Hadoop Summit 2014</a></li><li>3: <a href=#pg-76618cb9008bae0854fda78ea6fb [...]
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diff --git a/output/docs/learning-resources/presentations/hadoop-summit-2014/index.html b/output/docs/learning-resources/presentations/hadoop-summit-2014/index.html
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+<small class=ml-1><a href=https://policies.google.com/privacy target=_blank rel=noopener>Privacy Policy</a></small></div></div></div></footer></div><script src=https://cdn.jsdelivr.net/npm/popper.js@1.16.1/dist/umd/popper.min.js integrity=sha384-9/reFTGAW83EW2RDu2S0VKaIzap3H66lZH81PoYlFhbGU+6BZp6G7niu735Sk7lN crossorigin=anonymous></script>
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diff --git a/output/docs/learning-resources/index.xml b/output/docs/learning-resources/presentations/index.xml
similarity index 56%
copy from output/docs/learning-resources/index.xml
copy to output/docs/learning-resources/presentations/index.xml
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<p><a href="https://www.slideshare.net/databricks/the-apache-spark-file-format-ecosystem">Slides</a></p>
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+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/docs/overview/>Return to the regular view of this page</a>.</p></div><h1 class=title>Overview</h1><div class=lead>All about Parquet.</div><ul><li>1: <a href=#pg-2e5324b574579d3eb78ce816487d9e18>Motivation</a></li></ul><div class=content><p>Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming [...]
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