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Posted to commits@iceberg.apache.org by gi...@apache.org on 2022/06/29 04:34:15 UTC
[iceberg-docs] branch asf-site updated: deploy: 1a5142ad94c51d943c177f704f51801e4ea3d4f4
This is an automated email from the ASF dual-hosted git repository.
github-bot pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
new 2bab2a55 deploy: 1a5142ad94c51d943c177f704f51801e4ea3d4f4
2bab2a55 is described below
commit 2bab2a55ab10afa0920eb2cc184ed533ddfe7786
Author: pvary <pv...@users.noreply.github.com>
AuthorDate: Wed Jun 29 04:34:11 2022 +0000
deploy: 1a5142ad94c51d943c177f704f51801e4ea3d4f4
---
docs/latest/404.html | 2 +-
docs/latest/api/index.html | 2 +-
docs/latest/aws/index.html | 2 +-
docs/latest/categories/index.html | 2 +-
docs/latest/configuration/index.html | 2 +-
docs/latest/custom-catalog/index.html | 2 +-
docs/latest/docs/api/index.html | 2 +-
docs/latest/docs/api/javadoc/index.html | 2 +-
docs/latest/docs/asf/donate/index.html | 2 +-
docs/latest/docs/asf/events/index.html | 2 +-
docs/latest/docs/asf/index.html | 2 +-
docs/latest/docs/asf/license/index.html | 2 +-
docs/latest/docs/asf/security/index.html | 2 +-
docs/latest/docs/asf/sponsors/index.html | 2 +-
docs/latest/docs/athena/index.html | 2 +-
docs/latest/docs/community/blogs/index.html | 2 +-
docs/latest/docs/community/contributing/index.html | 2 +-
docs/latest/docs/community/index.html | 2 +-
docs/latest/docs/community/join/index.html | 2 +-
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docs/latest/docs/emr/index.html | 2 +-
docs/latest/docs/flink/index.html | 2 +-
docs/latest/docs/format/index.html | 2 +-
docs/latest/docs/format/spec/index.html | 2 +-
docs/latest/docs/format/terms/index.html | 2 +-
docs/latest/docs/format/view-spec/index.html | 2 +-
docs/latest/docs/index.html | 2 +-
docs/latest/docs/integrations/index.html | 2 +-
docs/latest/docs/prestodb/index.html | 2 +-
docs/latest/docs/project/benchmarks/index.html | 2 +-
docs/latest/docs/project/how-to-release/index.html | 2 +-
.../project/how-to-verify-a-release/index.html | 2 +-
docs/latest/docs/project/index.html | 2 +-
.../docs/project/multi-engine-support/index.html | 2 +-
docs/latest/docs/project/roadmap/index.html | 2 +-
docs/latest/docs/project/security/index.html | 2 +-
docs/latest/docs/project/trademarks/index.html | 2 +-
docs/latest/docs/releases/0.12.1/index.html | 2 +-
docs/latest/docs/releases/0.13.0/index.html | 2 +-
docs/latest/docs/releases/0.13.1/index.html | 2 +-
docs/latest/docs/releases/0.13.2/index.html | 2 +-
docs/latest/docs/releases/index.html | 2 +-
docs/latest/docs/releases/latest/index.html | 2 +-
docs/latest/docs/releases/release-notes/index.html | 2 +-
docs/latest/docs/spark/index.html | 2 +-
docs/latest/docs/starrocks/index.html | 2 +-
docs/latest/docs/tables/index.html | 2 +-
docs/latest/docs/trino/index.html | 2 +-
...e4266118c75073d21f605f6f5e03fb5f6dd7aa152f.json | 1 -
...7b7376877d8ef5870d2694eda90b195f040eab5b9f.json | 1 +
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docs/latest/evolution/index.html | 2 +-
docs/latest/flink-connector/index.html | 2 +-
docs/latest/flink/index.html | 2 +-
docs/latest/getting-started/index.html | 2 +-
docs/latest/hive/index.html | 134 ++++++++++++++-------
docs/latest/index.html | 2 +-
docs/latest/java-api-quickstart/index.html | 2 +-
docs/latest/jdbc/index.html | 2 +-
docs/latest/maintenance/index.html | 2 +-
docs/latest/nessie/index.html | 2 +-
docs/latest/partitioning/index.html | 2 +-
docs/latest/performance/index.html | 2 +-
docs/latest/python-api-intro/index.html | 2 +-
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docs/latest/python-quickstart/index.html | 2 +-
docs/latest/reliability/index.html | 2 +-
docs/latest/schemas/index.html | 2 +-
docs/latest/spark-configuration/index.html | 2 +-
docs/latest/spark-ddl/index.html | 2 +-
docs/latest/spark-procedures/index.html | 2 +-
docs/latest/spark-queries/index.html | 2 +-
docs/latest/spark-structured-streaming/index.html | 2 +-
docs/latest/spark-writes/index.html | 2 +-
docs/latest/tags/index.html | 2 +-
76 files changed, 163 insertions(+), 119 deletions(-)
diff --git a/docs/latest/404.html b/docs/latest/404.html
index bcf9be91..437e1ad8 100644
--- a/docs/latest/404.html
+++ b/docs/latest/404.html
@@ -1,2 +1,2 @@
<!doctype html><html lang=en><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="404 Page not found"><meta property="og:description" content><meta property="og:type" content="website"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/404.html"><title>404 Page not found | Apache [...]
-<script defer src=/docs/latest/en.search.min.7f9807f68d72554758ec4bf61e9a871dceb7b6e6e462ce815e14eaa78d79c039.js integrity="sha256-f5gH9o1yVUdY7Ev2HpqHHc63tubkYs6BXhTqp415wDk=" crossorigin=anonymous></script><style>.not-found{text-align:center}.not-found h1{margin:.25em 0 0;opacity:.25;font-size:40vmin}</style></head><body><main class="flex justify-center not-found"><div><h1>404</h1><h2>Page Not Found</h2><h3><a href=/docs/latest/>Apache Iceberg</a></h3></div></main></body></html>
\ No newline at end of file
+<script defer src=/docs/latest/en.search.min.7790474a54256d75daa03489bec5b63b9d3487a1fdd263a5f6e4dd2fa2f761f2.js integrity="sha256-d5BHSlQlbXXaoDSJvsW2O500h6H90mOl9uTdL6L3YfI=" crossorigin=anonymous></script><style>.not-found{text-align:center}.not-found h1{margin:.25em 0 0;opacity:.25;font-size:40vmin}</style></head><body><main class="flex justify-center not-found"><div><h1>404</h1><h2>Page Not Found</h2><h3><a href=/docs/latest/>Apache Iceberg</a></h3></div></main></body></html>
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diff --git a/docs/latest/api/index.html b/docs/latest/api/index.html
index c8f6aac3..8eebfd08 100644
--- a/docs/latest/api/index.html
+++ b/docs/latest/api/index.html
@@ -5,7 +5,7 @@ schema returns the current table schema spec returns the current table partition
Table metadata and operations are accessed through the Table interface. This interface will return table information.
Table metadata # The Table interface provides access to the table metadata:
schema returns the current table schema spec returns the current table partition spec properties returns a map of key-value properties currentSnapshot returns the current table snapshot snapshots returns all valid snapshots for the table snapshot(id) returns a specific snapshot by ID location returns the table’s base location Tables also provide refresh to update the table to the latest version, and expose helpers:"><meta property="og:type" content="article"><meta property="og:url" [...]
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+<script defer src=/docs/latest/en.search.min.7790474a54256d75daa03489bec5b63b9d3487a1fdd263a5f6e4dd2fa2f761f2.js integrity="sha256-d5BHSlQlbXXaoDSJvsW2O500h6H90mOl9uTdL6L3YfI=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
<a href=https://join.slack.com/t/apache-iceberg/shared_invite/zt-tlv0zjz6-jGJEkHfb1~heMCJA3Uycrg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/Slack_Mark_Web.png target=_blank class=top-external-icon></a></div><ul><li class=book-section-flats><span><i class="fa fa-table fa-fw"></i>
diff --git a/docs/latest/aws/index.html b/docs/latest/aws/index.html
index 7a8c9762..98e4136c 100644
--- a/docs/latest/aws/index.html
+++ b/docs/latest/aws/index.html
@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Iceberg AWS Integrations # Iceberg provides integration with different AWS services through the iceberg-aws module. This section describes how to use Iceberg with AWS.
Enabling AWS Integration # The iceberg-aws module is bundled with Spark and Flink engine runtimes for all versions from 0.11.0 onwards. However, the AWS clients are not bundled so that you can use the same client version as your application. You will need to provide the AWS v2 SDK because that is what Iceberg depends on."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="AWS"><meta property="og:description" content="I [...]
Enabling AWS Integration # The iceberg-aws module is bundled with Spark and Flink engine runtimes for all versions from 0.11.0 onwards. However, the AWS clients are not bundled so that you can use the same client version as your application. You will need to provide the AWS v2 SDK because that is what Iceberg depends on."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/aws/"><meta property="article:section" content="docs" [...]
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+<script defer src=/docs/latest/en.search.min.7790474a54256d75daa03489bec5b63b9d3487a1fdd263a5f6e4dd2fa2f761f2.js integrity="sha256-d5BHSlQlbXXaoDSJvsW2O500h6H90mOl9uTdL6L3YfI=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
<a href=https://join.slack.com/t/apache-iceberg/shared_invite/zt-tlv0zjz6-jGJEkHfb1~heMCJA3Uycrg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/Slack_Mark_Web.png target=_blank class=top-external-icon></a></div><ul><li class=book-section-flats><span><i class="fa fa-table fa-fw"></i>
diff --git a/docs/latest/categories/index.html b/docs/latest/categories/index.html
index 313548ac..21dfe473 100644
--- a/docs/latest/categories/index.html
+++ b/docs/latest/categories/index.html
@@ -1,5 +1,5 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="Categories"><meta property="og:description" content><meta property="og:type" content="website"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/categories/"><title>Categories | Apache Icebe [...]
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<link rel=alternate type=application/rss+xml href=https://iceberg.apache.org/docs/latest/categories/index.xml title="Apache Iceberg"></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
diff --git a/docs/latest/configuration/index.html b/docs/latest/configuration/index.html
index b612e49d..d997adce 100644
--- a/docs/latest/configuration/index.html
+++ b/docs/latest/configuration/index.html
@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Configuration # Table properties # Iceberg tables support table properties to configure table behavior, like the default split size for readers.
Read properties # Property Default Description read.split.target-size 134217728 (128 MB) Target size when combining data input splits read.split.metadata-target-size 33554432 (32 MB) Target size when combining metadata input splits read.split.planning-lookback 10 Number of bins to consider when combining input splits read.split.open-file-cost 4194304 (4 MB) The estimated cost to open a file, used as a minimum weight when combining splits."><meta name=theme-color content="#FFFFFF"><meta n [...]
Read properties # Property Default Description read.split.target-size 134217728 (128 MB) Target size when combining data input splits read.split.metadata-target-size 33554432 (32 MB) Target size when combining metadata input splits read.split.planning-lookback 10 Number of bins to consider when combining input splits read.split.open-file-cost 4194304 (4 MB) The estimated cost to open a file, used as a minimum weight when combining splits."><meta property="og:type" content="article"><meta [...]
-<script defer src=/docs/latest/en.search.min.7f9807f68d72554758ec4bf61e9a871dceb7b6e6e462ce815e14eaa78d79c039.js integrity="sha256-f5gH9o1yVUdY7Ev2HpqHHc63tubkYs6BXhTqp415wDk=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
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<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
<a href=https://join.slack.com/t/apache-iceberg/shared_invite/zt-tlv0zjz6-jGJEkHfb1~heMCJA3Uycrg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/Slack_Mark_Web.png target=_blank class=top-external-icon></a></div><ul><li class=book-section-flats><span><i class="fa fa-table fa-fw"></i>
diff --git a/docs/latest/custom-catalog/index.html b/docs/latest/custom-catalog/index.html
index dd6b60ee..e2c22d0c 100644
--- a/docs/latest/custom-catalog/index.html
+++ b/docs/latest/custom-catalog/index.html
@@ -3,7 +3,7 @@ Custom TableOperations Custom Catalog Custom FileIO Custom LocationProvider Cust
Example:"><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="Java Custom Catalog"><meta property="og:description" content="Custom Catalog Implementation # It’s possible to read an iceberg table either from an hdfs path or from a hive table. It’s also possible to use a custom metastore in place of hive. The steps to do that are as follows.
Custom TableOperations Custom Catalog Custom FileIO Custom LocationProvider Custom IcebergSource Custom table operations implementation # Extend BaseMetastoreTableOperations to provide implementation on how to read and write metadata
Example:"><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/custom-catalog/"><meta property="article:section" content="docs"><title>Java Custom Catalog | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest.json><link rel=icon href=/docs/latest/favicon.png type=image/x-icon><link rel=stylesheet href=/docs/latest/book.min.382d02a42babcef8e45d56616eebb5450770cf883b4185c7cbd5ecc4cb40920b.css integrity="sha256-OC [...]
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<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
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diff --git a/docs/latest/docs/api/index.html b/docs/latest/docs/api/index.html
index c0772513..819f324a 100644
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@@ -1,5 +1,5 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content><meta property="og:description" content><meta property="og:type" content="website"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/docs/api/"><title>API | Apache Iceberg</title><link rel=ma [...]
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<link rel=alternate type=application/rss+xml href=https://iceberg.apache.org/docs/latest/docs/api/index.xml title="Apache Iceberg"></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
diff --git a/docs/latest/docs/api/javadoc/index.html b/docs/latest/docs/api/javadoc/index.html
index 42da0418..4ac90d54 100644
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@@ -1,5 +1,5 @@
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<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
diff --git a/docs/latest/docs/tables/index.html b/docs/latest/docs/tables/index.html
index 1b4f1b2f..a43483ea 100644
--- a/docs/latest/docs/tables/index.html
+++ b/docs/latest/docs/tables/index.html
@@ -1,5 +1,5 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content><meta property="og:description" content><meta property="og:type" content="website"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/docs/tables/"><title>Tables | Apache Iceberg</title><link [...]
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<link rel=alternate type=application/rss+xml href=https://iceberg.apache.org/docs/latest/docs/tables/index.xml title="Apache Iceberg"></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
diff --git a/docs/latest/docs/trino/index.html b/docs/latest/docs/trino/index.html
index 108fabf4..cb281aaa 100644
--- a/docs/latest/docs/trino/index.html
+++ b/docs/latest/docs/trino/index.html
@@ -1,5 +1,5 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content=" "><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="Trino"><meta property="og:description" content><meta property="og:type" content="website"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/docs/trino/"><title>Trino | Apache Iceberg</ti [...]
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<link rel=alternate type=application/rss+xml href=https://iceberg.apache.org/docs/latest/docs/trino/index.xml title="Apache Iceberg"></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
diff --git a/docs/latest/en.search-data.min.0b46db2002e416760637e2e4266118c75073d21f605f6f5e03fb5f6dd7aa152f.json b/docs/latest/en.search-data.min.0b46db2002e416760637e2e4266118c75073d21f605f6f5e03fb5f6dd7aa152f.json
deleted file mode 100644
index 900f5ed1..00000000
--- a/docs/latest/en.search-data.min.0b46db2002e416760637e2e4266118c75073d21f605f6f5e03fb5f6dd7aa152f.json
+++ /dev/null
@@ -1 +0,0 @@
-[{"id":0,"href":"/docs/latest/java-api-quickstart/","title":"Java Quickstart","section":"API","content":" Java API Quickstart # Create a table # Tables are created using either a Catalog or an implementation of the Tables interface.\nUsing a Hive catalog # The Hive catalog connects to a Hive metastore to keep track of Iceberg tables. You can initialize a Hive catalog with a name and some properties. (see: Catalog properties)\nNote: Currently, setConf is always required for hive catalogs, [...]
\ No newline at end of file
diff --git a/docs/latest/en.search-data.min.38fbb4788a7b4bc7f7c0917b7376877d8ef5870d2694eda90b195f040eab5b9f.json b/docs/latest/en.search-data.min.38fbb4788a7b4bc7f7c0917b7376877d8ef5870d2694eda90b195f040eab5b9f.json
new file mode 100644
index 00000000..3154517c
--- /dev/null
+++ b/docs/latest/en.search-data.min.38fbb4788a7b4bc7f7c0917b7376877d8ef5870d2694eda90b195f040eab5b9f.json
@@ -0,0 +1 @@
+[{"id":0,"href":"/docs/latest/java-api-quickstart/","title":"Java Quickstart","section":"API","content":" Java API Quickstart # Create a table # Tables are created using either a Catalog or an implementation of the Tables interface.\nUsing a Hive catalog # The Hive catalog connects to a Hive metastore to keep track of Iceberg tables. You can initialize a Hive catalog with a name and some properties. (see: Catalog properties)\nNote: Currently, setConf is always required for hive catalogs, [...]
\ No newline at end of file
diff --git a/docs/latest/en.search.min.7f9807f68d72554758ec4bf61e9a871dceb7b6e6e462ce815e14eaa78d79c039.js b/docs/latest/en.search.min.7790474a54256d75daa03489bec5b63b9d3487a1fdd263a5f6e4dd2fa2f761f2.js
similarity index 89%
rename from docs/latest/en.search.min.7f9807f68d72554758ec4bf61e9a871dceb7b6e6e462ce815e14eaa78d79c039.js
rename to docs/latest/en.search.min.7790474a54256d75daa03489bec5b63b9d3487a1fdd263a5f6e4dd2fa2f761f2.js
index bdc2203c..2065b74e 100644
--- a/docs/latest/en.search.min.7f9807f68d72554758ec4bf61e9a871dceb7b6e6e462ce815e14eaa78d79c039.js
+++ b/docs/latest/en.search.min.7790474a54256d75daa03489bec5b63b9d3487a1fdd263a5f6e4dd2fa2f761f2.js
@@ -1 +1 @@
-"use strict";(function(){const o="/docs/latest/en.search-data.min.0b46db2002e416760637e2e4266118c75073d21f605f6f5e03fb5f6dd7aa152f.json",e=document.querySelector("#book-search-input"),t=document.querySelector("#book-search-results");if(!e)return;e.addEventListener("focus",n),e.addEventListener("keyup",s),document.addEventListener("keypress",i);function i(t){if(t.target.value!==void 0)return;if(e===document.activeElement)return;const n=String.fromCharCode(t.charCode);if(!a(n))return;e.foc [...]
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+"use strict";(function(){const o="/docs/latest/en.search-data.min.38fbb4788a7b4bc7f7c0917b7376877d8ef5870d2694eda90b195f040eab5b9f.json",e=document.querySelector("#book-search-input"),t=document.querySelector("#book-search-results");if(!e)return;e.addEventListener("focus",n),e.addEventListener("keyup",s),document.addEventListener("keypress",i);function i(t){if(t.target.value!==void 0)return;if(e===document.activeElement)return;const n=String.fromCharCode(t.charCode);if(!a(n))return;e.foc [...]
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diff --git a/docs/latest/evolution/index.html b/docs/latest/evolution/index.html
index cc640299..ded2d693 100644
--- a/docs/latest/evolution/index.html
+++ b/docs/latest/evolution/index.html
@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Evolution # Iceberg supports in-place table evolution. You can evolve a table schema just like SQL – even in nested structures – or change partition layout when data volume changes. Iceberg does not require costly distractions, like rewriting table data or migrating to a new table.
For example, Hive table partitioning cannot change so moving from a daily partition layout to an hourly partition layout requires a new table. And because queries are dependent on partitions, queries must be rewritten for the new table."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content><meta property="og:description" content="Evolution # Iceberg supports in-place table evolution. You can evolve a table schema just lik [...]
For example, Hive table partitioning cannot change so moving from a daily partition layout to an hourly partition layout requires a new table. And because queries are dependent on partitions, queries must be rewritten for the new table."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/evolution/"><meta property="article:section" content="docs"><title>Evolution | Apache Iceberg</title><link rel=manifest href=/docs/latest/m [...]
-<script defer src=/docs/latest/en.search.min.7f9807f68d72554758ec4bf61e9a871dceb7b6e6e462ce815e14eaa78d79c039.js integrity="sha256-f5gH9o1yVUdY7Ev2HpqHHc63tubkYs6BXhTqp415wDk=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
+<script defer src=/docs/latest/en.search.min.7790474a54256d75daa03489bec5b63b9d3487a1fdd263a5f6e4dd2fa2f761f2.js integrity="sha256-d5BHSlQlbXXaoDSJvsW2O500h6H90mOl9uTdL6L3YfI=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
<a href=https://join.slack.com/t/apache-iceberg/shared_invite/zt-tlv0zjz6-jGJEkHfb1~heMCJA3Uycrg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/Slack_Mark_Web.png target=_blank class=top-external-icon></a></div><ul><li class=book-section-flats><span><i class="fa fa-table fa-fw"></i>
diff --git a/docs/latest/flink-connector/index.html b/docs/latest/flink-connector/index.html
index c900bdc0..6ae98db6 100644
--- a/docs/latest/flink-connector/index.html
+++ b/docs/latest/flink-connector/index.html
@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Flink Connector # Apache Flink supports creating Iceberg table directly without creating the explicit Flink catalog in Flink SQL. That means we can just create an iceberg table by specifying 'connector'='iceberg' table option in Flink SQL which is similar to usage in the Flink official document.
In Flink, the SQL CREATE TABLE test (..) WITH ('connector'='iceberg', ...) will create a Flink table in current Flink catalog (use GenericInMemoryCatalog by default), which is just mapping to the underlying iceberg table instead of maintaining iceberg table directly in current Flink catalog."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content><meta property="og:description" content="Flink Connector # Apache Flink suppor [...]
In Flink, the SQL CREATE TABLE test (..) WITH ('connector'='iceberg', ...) will create a Flink table in current Flink catalog (use GenericInMemoryCatalog by default), which is just mapping to the underlying iceberg table instead of maintaining iceberg table directly in current Flink catalog."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/flink-connector/"><meta property="article:section" content="docs"><title>Flink Conn [...]
-<script defer src=/docs/latest/en.search.min.7f9807f68d72554758ec4bf61e9a871dceb7b6e6e462ce815e14eaa78d79c039.js integrity="sha256-f5gH9o1yVUdY7Ev2HpqHHc63tubkYs6BXhTqp415wDk=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
+<script defer src=/docs/latest/en.search.min.7790474a54256d75daa03489bec5b63b9d3487a1fdd263a5f6e4dd2fa2f761f2.js integrity="sha256-d5BHSlQlbXXaoDSJvsW2O500h6H90mOl9uTdL6L3YfI=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
<a href=https://join.slack.com/t/apache-iceberg/shared_invite/zt-tlv0zjz6-jGJEkHfb1~heMCJA3Uycrg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/Slack_Mark_Web.png target=_blank class=top-external-icon></a></div><ul><li class=book-section-flats><span><i class="fa fa-table fa-fw"></i>
diff --git a/docs/latest/flink/index.html b/docs/latest/flink/index.html
index 2a49a720..1751df5c 100644
--- a/docs/latest/flink/index.html
+++ b/docs/latest/flink/index.html
@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Flink # Apache Iceberg supports both Apache Flink’s DataStream API and Table API. See the Multi-Engine Support#apache-flink page for the integration of Apache Flink.
Feature support Flink Notes SQL create catalog ✔️ SQL create database ✔️ SQL create table ✔️ SQL create table like ✔️ SQL alter table ✔️ Only support altering table properties, column and partition changes are not supported SQL drop_table ✔️ SQL select ✔️ Support both streaming and batch mode SQL insert into ✔️ ️ Support both streaming and batch mode SQL insert overwrite ✔️ ️ DataStream read ✔️ ️ DataStream append ✔️ ️ DataStream overwrite ✔️ ️ Metadata tables ️ Support Java API but does [...]
Feature support Flink Notes SQL create catalog ✔️ SQL create database ✔️ SQL create table ✔️ SQL create table like ✔️ SQL alter table ✔️ Only support altering table properties, column and partition changes are not supported SQL drop_table ✔️ SQL select ✔️ Support both streaming and batch mode SQL insert into ✔️ ️ Support both streaming and batch mode SQL insert overwrite ✔️ ️ DataStream read ✔️ ️ DataStream append ✔️ ️ DataStream overwrite ✔️ ️ Metadata tables ️ Support Java API but does [...]
-<script defer src=/docs/latest/en.search.min.7f9807f68d72554758ec4bf61e9a871dceb7b6e6e462ce815e14eaa78d79c039.js integrity="sha256-f5gH9o1yVUdY7Ev2HpqHHc63tubkYs6BXhTqp415wDk=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
+<script defer src=/docs/latest/en.search.min.7790474a54256d75daa03489bec5b63b9d3487a1fdd263a5f6e4dd2fa2f761f2.js integrity="sha256-d5BHSlQlbXXaoDSJvsW2O500h6H90mOl9uTdL6L3YfI=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
<a href=https://join.slack.com/t/apache-iceberg/shared_invite/zt-tlv0zjz6-jGJEkHfb1~heMCJA3Uycrg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/Slack_Mark_Web.png target=_blank class=top-external-icon></a></div><ul><li class=book-section-flats><span><i class="fa fa-table fa-fw"></i>
diff --git a/docs/latest/getting-started/index.html b/docs/latest/getting-started/index.html
index f1d12e97..8e4e6fea 100644
--- a/docs/latest/getting-started/index.html
+++ b/docs/latest/getting-started/index.html
@@ -3,7 +3,7 @@ Spark is currently the most feature-rich compute engine for Iceberg operations.
Using Iceberg in Spark 3 # To use Iceberg in a Spark shell, use the --packages option:"><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="Getting Started"><meta property="og:description" content="Getting Started # The latest version of Iceberg is 0.13.2.
Spark is currently the most feature-rich compute engine for Iceberg operations. We recommend you to get started with Spark to understand Iceberg concepts and features with examples. You can also view documentations of using Iceberg with other compute engine under the Engines tab.
Using Iceberg in Spark 3 # To use Iceberg in a Spark shell, use the --packages option:"><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/getting-started/"><meta property="article:section" content="docs"><title>Getting Started | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest.json><link rel=icon href=/docs/latest/favicon.png type=image/x-icon><link rel=stylesheet href=/docs/latest/book.min.382d02a42babce [...]
-<script defer src=/docs/latest/en.search.min.7f9807f68d72554758ec4bf61e9a871dceb7b6e6e462ce815e14eaa78d79c039.js integrity="sha256-f5gH9o1yVUdY7Ev2HpqHHc63tubkYs6BXhTqp415wDk=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
+<script defer src=/docs/latest/en.search.min.7790474a54256d75daa03489bec5b63b9d3487a1fdd263a5f6e4dd2fa2f761f2.js integrity="sha256-d5BHSlQlbXXaoDSJvsW2O500h6H90mOl9uTdL6L3YfI=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
<a href=https://join.slack.com/t/apache-iceberg/shared_invite/zt-tlv0zjz6-jGJEkHfb1~heMCJA3Uycrg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/Slack_Mark_Web.png target=_blank class=top-external-icon></a></div><ul><li class=book-section-flats><span><i class="fa fa-table fa-fw"></i>
diff --git a/docs/latest/hive/index.html b/docs/latest/hive/index.html
index ec1569aa..d15127b0 100644
--- a/docs/latest/hive/index.html
+++ b/docs/latest/hive/index.html
@@ -1,6 +1,7 @@
-<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Hive # Iceberg supports reading and writing Iceberg tables through Hive by using a StorageHandler. Here is the current compatibility matrix for Iceberg Hive support:
-Feature Hive 2.x Hive 3.1.2 CREATE EXTERNAL TABLE ✔️ ✔️ CREATE TABLE ✔️ ✔️ DROP TABLE ✔️ ✔️ SELECT ✔️ (MapReduce and Tez) ✔️ (MapReduce and Tez) INSERT INTO ✔️ (MapReduce only)️ ✔️ (MapReduce only) Enabling Iceberg support in Hive # Loading runtime jar # To enable Iceberg support in Hive, the HiveIcebergStorageHandler and supporting classes need to be made available on Hive’s classpath."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta pro [...]
-<script defer src=/docs/latest/en.search.min.7f9807f68d72554758ec4bf61e9a871dceb7b6e6e462ce815e14eaa78d79c039.js integrity="sha256-f5gH9o1yVUdY7Ev2HpqHHc63tubkYs6BXhTqp415wDk=" crossorigin=anonymous></script>
+<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Hive # Iceberg supports reading and writing Iceberg tables through Hive by using a StorageHandler.
+Feature support # Iceberg compatibility with Hive 2.x and Hive 3.1.2/3 supports the following features:
+Creating a table Dropping a table Reading a table Inserting into a table (INSERT INTO) DML operations work only with MapReduce execution engine. With Hive version 4.0.0-alpha-1 and above, the Iceberg integration when using HiveCatalog supports the following additional features:"><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content><meta property="og:description" content><meta property="og:type" content="website"><meta pro [...]
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<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
@@ -32,28 +33,31 @@ Sponsors</a></li><li class=navigation-icon-pad><a href=https://www.apache.org/fo
Donate</a></li><li class=navigation-icon-pad><a href=https://www.apache.org/events/current-event.html target=_blank><i class="fa fa-external-link fa-fw"></i>
Events</a></li></ul></li></ul></nav><script>(function(){var e=document.querySelector("aside .book-menu-content");addEventListener("beforeunload",function(){localStorage.setItem("menu.scrollTop",e.scrollTop)}),e.scrollTop=localStorage.getItem("menu.scrollTop")})()</script></div></aside><div class=book-page><div class=book-search><input type=text id=book-search-input placeholder=Search aria-label=Search maxlength=64 data-hotkeys=s/></div><div><ul id=book-search-results><li id=liFirst style [...]
<strong>Hive</strong>
-<label for=toc-control><img src=/docs/latest/svg/toc.svg class=book-icon alt="Table of Contents"></label></div><aside class="hidden clearfix"><nav id=TableOfContents><ul><li><a href=#enabling-iceberg-support-in-hive>Enabling Iceberg support in Hive</a><ul><li><a href=#loading-runtime-jar>Loading runtime jar</a></li><li><a href=#enabling-support>Enabling support</a></li></ul></li><li><a href=#catalog-management>Catalog Management</a><ul><li><a href=#global-hive-catalog>Global Hive catalog [...]
-<a class=anchor href=#hive>#</a></h1><p>Iceberg supports reading and writing Iceberg tables through <a href=https://hive.apache.org>Hive</a> by using a <a href=https://cwiki.apache.org/confluence/display/Hive/StorageHandlers>StorageHandler</a>.
-Here is the current compatibility matrix for Iceberg Hive support:</p><table><thead><tr><th>Feature</th><th>Hive 2.x</th><th>Hive 3.1.2</th></tr></thead><tbody><tr><td>CREATE EXTERNAL TABLE</td><td>✔️</td><td>✔️</td></tr><tr><td>CREATE TABLE</td><td>✔️</td><td>✔️</td></tr><tr><td>DROP TABLE</td><td>✔️</td><td>✔️</td></tr><tr><td>SELECT</td><td>✔️ (MapReduce and Tez)</td><td>✔️ (MapReduce and Tez)</td></tr><tr><td>INSERT INTO</td><td>✔️ (MapReduce only)️</td><td>✔️ (MapReduce only)</td></ [...]
-<a class=anchor href=#enabling-iceberg-support-in-hive>#</a></h2><h3 id=loading-runtime-jar>Loading runtime jar
-<a class=anchor href=#loading-runtime-jar>#</a></h3><p>To enable Iceberg support in Hive, the <code>HiveIcebergStorageHandler</code> and supporting classes need to be made available on Hive’s classpath.
+<label for=toc-control><img src=/docs/latest/svg/toc.svg class=book-icon alt="Table of Contents"></label></div><aside class="hidden clearfix"><nav id=TableOfContents><ul><li><a href=#feature-support>Feature support</a></li><li><a href=#enabling-iceberg-support-in-hive>Enabling Iceberg support in Hive</a><ul><li><a href=#hive-400-alpha-1>Hive 4.0.0-alpha-1</a></li><li><a href=#hive-23x-hive-31x>Hive 2.3.x, Hive 3.1.x</a></li></ul></li><li><a href=#catalog-management>Catalog Management</a> [...]
+<a class=anchor href=#hive>#</a></h1><p>Iceberg supports reading and writing Iceberg tables through <a href=https://hive.apache.org>Hive</a> by using a <a href=https://cwiki.apache.org/confluence/display/Hive/StorageHandlers>StorageHandler</a>.</p><h2 id=feature-support>Feature support
+<a class=anchor href=#feature-support>#</a></h2><p>Iceberg compatibility with Hive 2.x and Hive 3.1.2/3 supports the following features:</p><ul><li>Creating a table</li><li>Dropping a table</li><li>Reading a table</li><li>Inserting into a table (INSERT INTO)</li></ul><blockquote class="book-hint warning">DML operations work only with MapReduce execution engine.</blockquote><p>With Hive version 4.0.0-alpha-1 and above,
+the Iceberg integration when using HiveCatalog supports the following additional features:</p><ul><li>Creating an Iceberg identity-partitioned table</li><li>Creating an Iceberg table with any partition spec, including the various transforms supported by Iceberg</li><li>Creating a table from an existing table (CTAS table)</li><li>Altering a table while keeping Iceberg and Hive schemas in sync</li><li>Altering the partition schema (updating columns)</li><li>Altering the partition schema by [...]
+<a class=anchor href=#enabling-iceberg-support-in-hive>#</a></h2><h3 id=hive-400-alpha-1>Hive 4.0.0-alpha-1
+<a class=anchor href=#hive-400-alpha-1>#</a></h3><p>Hive 4.0.0-alpha-1 comes with the Iceberg 0.13.1 included. No additional downloads or jars are needed.</p><h3 id=hive-23x-hive-31x>Hive 2.3.x, Hive 3.1.x
+<a class=anchor href=#hive-23x-hive-31x>#</a></h3><p>You need to do the following steps:</p><ul><li>Loading runtime jar</li><li>Enabling support</li></ul><h4 id=loading-runtime-jar>Loading runtime jar
+<a class=anchor href=#loading-runtime-jar>#</a></h4><p>To enable Iceberg support in Hive, the <code>HiveIcebergStorageHandler</code> and supporting classes need to be made available on Hive’s classpath.
These are provided by the <code>iceberg-hive-runtime</code> jar file.
For example, if using the Hive shell, this can be achieved by issuing a statement like so:</p><pre tabindex=0><code>add jar /path/to/iceberg-hive-runtime.jar;
</code></pre><p>There are many others ways to achieve this including adding the jar file to Hive’s auxiliary classpath so it is available by default.
-Please refer to Hive’s documentation for more information.</p><h3 id=enabling-support>Enabling support
-<a class=anchor href=#enabling-support>#</a></h3><p>If the Iceberg storage handler is not in Hive’s classpath, then Hive cannot load or update the metadata for an Iceberg table when the storage handler is set.
+Please refer to Hive’s documentation for more information.</p><h4 id=enabling-support>Enabling support
+<a class=anchor href=#enabling-support>#</a></h4><p>If the Iceberg storage handler is not in Hive’s classpath, then Hive cannot load or update the metadata for an Iceberg table when the storage handler is set.
To avoid the appearance of broken tables in Hive, Iceberg will not add the storage handler to a table unless Hive support is enabled.
The storage handler is kept in sync (added or removed) every time Hive engine support for the table is updated, i.e. turned on or off in the table properties.
-There are two ways to enable Hive support: globally in Hadoop Configuration and per-table using a table property.</p><h4 id=hadoop-configuration>Hadoop configuration
-<a class=anchor href=#hadoop-configuration>#</a></h4><p>To enable Hive support globally for an application, set <code>iceberg.engine.hive.enabled=true</code> in its Hadoop configuration.
-For example, setting this in the <code>hive-site.xml</code> loaded by Spark will enable the storage handler for all tables created by Spark.</p><blockquote class="book-hint danger">Starting with Apache Iceberg <code>0.11.0</code>, when using Hive with Tez you also have to disable vectorization (<code>hive.vectorized.execution.enabled=false</code>).</blockquote><h4 id=table-property-configuration>Table property configuration
-<a class=anchor href=#table-property-configuration>#</a></h4><p>Alternatively, the property <code>engine.hive.enabled</code> can be set to <code>true</code> and added to the table properties when creating the Iceberg table.
+There are two ways to enable Hive support: globally in Hadoop Configuration and per-table using a table property.</p><h5 id=hadoop-configuration>Hadoop configuration
+<a class=anchor href=#hadoop-configuration>#</a></h5><p>To enable Hive support globally for an application, set <code>iceberg.engine.hive.enabled=true</code> in its Hadoop configuration.
+For example, setting this in the <code>hive-site.xml</code> loaded by Spark will enable the storage handler for all tables created by Spark.</p><blockquote class="book-hint danger">Starting with Apache Iceberg <code>0.11.0</code>, when using Hive with Tez you also have to disable vectorization (<code>hive.vectorized.execution.enabled=false</code>).</blockquote><h5 id=table-property-configuration>Table property configuration
+<a class=anchor href=#table-property-configuration>#</a></h5><p>Alternatively, the property <code>engine.hive.enabled</code> can be set to <code>true</code> and added to the table properties when creating the Iceberg table.
Here is an example of doing it programmatically:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span>Catalog catalog <span style=color:#f92672>=</span> <span style=color:#f92672>...;</span>
</span></span><span style=display:flex><span>Map<span style=color:#f92672><</span>String<span style=color:#f92672>,</span> String<span style=color:#f92672>></span> tableProperties <span style=color:#f92672>=</span> Maps<span style=color:#f92672>.</span><span style=color:#a6e22e>newHashMap</span><span style=color:#f92672>();</span>
</span></span><span style=display:flex><span>tableProperties<span style=color:#f92672>.</span><span style=color:#a6e22e>put</span><span style=color:#f92672>(</span>TableProperties<span style=color:#f92672>.</span><span style=color:#a6e22e>ENGINE_HIVE_ENABLED</span><span style=color:#f92672>,</span> <span style=color:#e6db74>"true"</span><span style=color:#f92672>);</span> <span style=color:#75715e>// engine.hive.enabled=true
</span></span></span><span style=display:flex><span><span style=color:#75715e></span>catalog<span style=color:#f92672>.</span><span style=color:#a6e22e>createTable</span><span style=color:#f92672>(</span>tableId<span style=color:#f92672>,</span> schema<span style=color:#f92672>,</span> spec<span style=color:#f92672>,</span> tableProperties<span style=color:#f92672>);</span>
-</span></span></code></pre></div><p>The table level configuration overrides the global Hadoop configuration.</p><h4 id=hive-on-tez-configuration>Hive on Tez configuration
-<a class=anchor href=#hive-on-tez-configuration>#</a></h4><p>To use the Tez engine on Hive <code>3.1.2</code> or later, Tez needs to be upgraded to >= <code>0.10.1</code> which contains a necessary fix <a href=https://issues.apache.org/jira/browse/TEZ-4248>Tez-4248</a>.</p><p>To use the Tez engine on Hive <code>2.3.x</code>, you will need to manually build Tez from the <code>branch-0.9</code> branch due to a backwards incompatibility issue with Tez <code>0.10.1</code>.</p><p>You will als [...]
+</span></span></code></pre></div><p>The table level configuration overrides the global Hadoop configuration.</p><h5 id=hive-on-tez-configuration>Hive on Tez configuration
+<a class=anchor href=#hive-on-tez-configuration>#</a></h5><p>To use the Tez engine on Hive <code>3.1.2</code> or later, Tez needs to be upgraded to >= <code>0.10.1</code> which contains a necessary fix <a href=https://issues.apache.org/jira/browse/TEZ-4248>TEZ-4248</a>.</p><p>To use the Tez engine on Hive <code>2.3.x</code>, you will need to manually build Tez from the <code>branch-0.9</code> branch due to a backwards incompatibility issue with Tez <code>0.10.1</code>.</p><p>You will als [...]
<a class=anchor href=#catalog-management>#</a></h2><h3 id=global-hive-catalog>Global Hive catalog
<a class=anchor href=#global-hive-catalog>#</a></h3><p>From the Hive engine’s perspective, there is only one global data catalog that is defined in the Hadoop configuration in the runtime environment.
In contrast, Iceberg supports multiple different data catalog types such as Hive, Hadoop, AWS Glue, or custom catalog implementations.
@@ -73,8 +77,28 @@ SET iceberg.catalog.glue.warehouse=s3://my-bucket/my/key/prefix;
SET iceberg.catalog.glue.lock-impl=org.apache.iceberg.aws.glue.DynamoLockManager;
SET iceberg.catalog.glue.lock.table=myGlueLockTable;
</code></pre><h2 id=ddl-commands>DDL Commands
-<a class=anchor href=#ddl-commands>#</a></h2><h3 id=create-external-table>CREATE EXTERNAL TABLE
-<a class=anchor href=#create-external-table>#</a></h3><p>The <code>CREATE EXTERNAL TABLE</code> command is used to overlay a Hive table “on top of” an existing Iceberg table.
+<a class=anchor href=#ddl-commands>#</a></h2><p>Not all the features below are supported with Hive 2.3.x and Hive 3.1.x. Please refer to the
+<a href=#feature-support>Feature support</a> paragraph for further details.</p><p>One generally applicable difference is that Hive 4.0.0-alpha-1 provides the possibility to use
+<code>STORED BY ICEBERG</code> instead of the old <code>STORED BY 'org.apache.iceberg.mr.hive.HiveIcebergStorageHandler'</code></p><h3 id=create-table>CREATE TABLE
+<a class=anchor href=#create-table>#</a></h3><h4 id=non-partitioned-tables>Non partitioned tables
+<a class=anchor href=#non-partitioned-tables>#</a></h4><p>The Hive <code>CREATE EXTERNAL TABLE</code> command creates an Iceberg table when you specify the storage handler as follows:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>CREATE</span> <span style=color:#66d9ef>EXTERNAL</span> <span style=color:#66d9ef>TABL [...]
+</span></span></code></pre></div><p>If you want to create external tables using CREATE TABLE, configure the MetaStoreMetadataTransformer on the cluster,
+and <code>CREATE TABLE</code> commands are transformed to create external tables. For example:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>CREATE</span> <span style=color:#66d9ef>TABLE</span> x (i int) STORED <span style=color:#66d9ef>BY</span> ICEBERG;
+</span></span></code></pre></div><p>You can specify the default file format (Avro, Parquet, ORC) at the time of the table creation.
+The default is Parquet:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>CREATE</span> <span style=color:#66d9ef>TABLE</span> x (i int) STORED <span style=color:#66d9ef>BY</span> ICEBERG STORED <span style=color:#66d9ef>AS</span> ORC;
+</span></span></code></pre></div><h4 id=partitioned-tables>Partitioned tables
+<a class=anchor href=#partitioned-tables>#</a></h4><p>You can create Iceberg partitioned tables using a command familiar to those who create non-Iceberg tables:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>CREATE</span> <span style=color:#66d9ef>TABLE</span> x (i int) PARTITIONED <span style=color:#66d9ef>BY</span [...]
+</span></span></code></pre></div><blockquote class="book-hint info">The resulting table does not create partitions in HMS, but instead, converts partition data into Iceberg identity partitions.</blockquote><p>Use the DESCRIBE command to get information about the Iceberg identity partitions:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><spa [...]
+</span></span></code></pre></div><p>The result is:</p><table><thead><tr><th>col_name</th><th>data_type</th><th>comment</th></tr></thead><tbody><tr><td>i</td><td>int</td><td></td></tr><tr><td>j</td><td>int</td><td></td></tr><tr><td></td><td>NULL</td><td>NULL</td></tr><tr><td># Partition Transform Information</td><td>NULL</td><td>NULL</td></tr><tr><td># col_name</td><td>transform_type</td><td>NULL</td></tr><tr><td>j</td><td>IDENTITY</td><td>NULL</td></tr></tbody></table><p>You can create I [...]
+(supported only in Hive 4.0.0-alpha-1):</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>CREATE</span> <span style=color:#66d9ef>TABLE</span> x (i int, ts <span style=color:#66d9ef>timestamp</span>) PARTITIONED <span style=color:#66d9ef>BY</span> SPEC (<span style=color:#66d9ef>month</span>(ts), bucket(<span style=col [...]
+</span></span><span style=display:flex><span><span style=color:#66d9ef>DESCRIBE</span> x;
+</span></span></code></pre></div><p>The result is:</p><table><thead><tr><th>col_name</th><th>data_type</th><th>comment</th></tr></thead><tbody><tr><td>i</td><td>int</td><td></td></tr><tr><td>ts</td><td>timestamp</td><td></td></tr><tr><td></td><td>NULL</td><td>NULL</td></tr><tr><td># Partition Transform Information</td><td>NULL</td><td>NULL</td></tr><tr><td># col_name</td><td>transform_type</td><td>NULL</td></tr><tr><td>ts</td><td>MONTH</td><td>NULL</td></tr><tr><td>i</td><td>BUCKET[2]</t [...]
+<a class=anchor href=#create-table-as-select>#</a></h3><p><code>CREATE TABLE AS SELECT</code> operation resembles the native Hive operation with a single important difference.
+The Iceberg table and the corresponding Hive table are created at the beginning of the query execution.
+The data is inserted / committed when the query finishes. So for a transient period the table already exists but contains no data.</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>CREATE</span> <span style=color:#66d9ef>TABLE</span> target PARTITIONED <span style=color:#66d9ef>BY</span> SPEC (<span style=color:#66d9ef [...]
+</span></span><span style=display:flex><span> <span style=color:#66d9ef>SELECT</span> <span style=color:#f92672>*</span> <span style=color:#66d9ef>FROM</span> <span style=color:#66d9ef>source</span>;
+</span></span></code></pre></div><h3 id=create-external-table-overlaying-an-existing-iceberg-table>CREATE EXTERNAL TABLE overlaying an existing Iceberg table
+<a class=anchor href=#create-external-table-overlaying-an-existing-iceberg-table>#</a></h3><p>The <code>CREATE EXTERNAL TABLE</code> command is used to overlay a Hive table “on top of” an existing Iceberg table.
Iceberg tables are created using either a <a href=../../../javadoc/0.13.2/index.html?org/apache/iceberg/catalog/Catalog.html><code>Catalog</code></a>,
or an implementation of the <a href=../../../javadoc/0.13.2/index.html?org/apache/iceberg/Tables.html><code>Tables</code></a> interface,
and Hive needs to be configured accordingly to operate on these different types of table.</p><h4 id=hive-catalog-tables>Hive catalog tables
@@ -93,17 +117,8 @@ To indicate that, set <code>iceberg.catalog</code> property to <code>location_ba
</span></span><span style=display:flex><span>STORED <span style=color:#66d9ef>BY</span> <span style=color:#e6db74>'org.apache.iceberg.mr.hive.HiveIcebergStorageHandler'</span>
</span></span><span style=display:flex><span><span style=color:#66d9ef>LOCATION</span> <span style=color:#e6db74>'hdfs://some_bucket/some_path/table_a'</span>
</span></span><span style=display:flex><span>TBLPROPERTIES (<span style=color:#e6db74>'iceberg.catalog'</span><span style=color:#f92672>=</span><span style=color:#e6db74>'location_based_table'</span>);
-</span></span></code></pre></div><h3 id=create-table>CREATE TABLE
-<a class=anchor href=#create-table>#</a></h3><p>Hive also supports directly creating a new Iceberg table through <code>CREATE TABLE</code> statement. For example:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>CREATE</span> <span style=color:#66d9ef>TABLE</span> database_a.table_a (
-</span></span><span style=display:flex><span> id bigint, name string
-</span></span><span style=display:flex><span>) PARTITIONED <span style=color:#66d9ef>BY</span> (
-</span></span><span style=display:flex><span> dept string
-</span></span><span style=display:flex><span>) STORED <span style=color:#66d9ef>BY</span> <span style=color:#e6db74>'org.apache.iceberg.mr.hive.HiveIcebergStorageHandler'</span>;
-</span></span></code></pre></div><blockquote class="book-hint info">to Hive, the table appears to be unpartitioned although the underlying Iceberg table is partitioned.</blockquote><blockquote class="book-hint info">Due to the limitation of Hive <code>PARTITIONED BY</code> syntax, if you use Hive <code>CREATE TABLE</code>,
-currently you can only partition by columns, which is translated to Iceberg identity partition transform.
-You cannot partition by other Iceberg partition transforms such as <code>days(timestamp)</code>.
-To create table with all partition transforms, you need to create the table with other engines like Spark or Flink.</blockquote><h4 id=custom-catalog-table>Custom catalog table
-<a class=anchor href=#custom-catalog-table>#</a></h4><p>You can also create a new table that is managed by a custom catalog.
+</span></span></code></pre></div><h4 id=create-table-overlaying-an-existing-iceberg-table>CREATE TABLE overlaying an existing Iceberg table
+<a class=anchor href=#create-table-overlaying-an-existing-iceberg-table>#</a></h4><p>You can also create a new table that is managed by a custom catalog.
For example, the following code creates a table in a custom Hadoop catalog:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>SET</span> iceberg.<span style=color:#66d9ef>catalog</span>.hadoop_cat.<span style=color:#66d9ef>type</span><span style=color:#f92672>=</span>hadoop;
</span></span><span style=display:flex><span><span style=color:#66d9ef>SET</span> iceberg.<span style=color:#66d9ef>catalog</span>.hadoop_cat.warehouse<span style=color:#f92672>=</span>hdfs:<span style=color:#f92672>//</span>example.com:<span style=color:#ae81ff>8020</span><span style=color:#f92672>/</span>hadoop_cat;
</span></span><span style=display:flex><span>
@@ -117,26 +132,55 @@ For example, the following code creates a table in a custom Hadoop catalog:</p><
This means technically you can omit the <code>EXTERNAL</code> keyword when creating an overlay table.
However, this is <strong>not recommended</strong> because creating managed overlay tables could pose a risk
to the shared data files in case of accidental drop table commands from the Hive side,
-which would unintentionally remove all the data in the table.</blockquote><h3 id=drop-table>DROP TABLE
+which would unintentionally remove all the data in the table.</blockquote><h3 id=alter-table>ALTER TABLE
+<a class=anchor href=#alter-table>#</a></h3><h4 id=table-properties>Table properties
+<a class=anchor href=#table-properties>#</a></h4><p>For HiveCatalog tables the Iceberg table properties and the Hive table properties stored in HMS are kept in sync.</p><blockquote class="book-hint info">IMPORTANT: This feature is not available for other Catalog implementations.</blockquote><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span s [...]
+</span></span></code></pre></div><h4 id=schema-evolution>Schema evolution
+<a class=anchor href=#schema-evolution>#</a></h4><p>The Hive table schema is kept in sync with the Iceberg table. If an outside source (Impala/Spark/Java API/etc)
+changes the schema, the Hive table immediately reflects the changes. You alter the table schema using Hive commands:</p><ul><li>Add a column</li></ul><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>ALTER</span> <span style=color:#66d9ef>TABLE</span> orders <span style=color:#66d9ef>ADD</span> COLUMNS (nickname string);
+</span></span></code></pre></div><ul><li>Rename a column</li></ul><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>ALTER</span> <span style=color:#66d9ef>TABLE</span> orders CHANGE <span style=color:#66d9ef>COLUMN</span> item fruit string;
+</span></span></code></pre></div><ul><li>Reorder columns</li></ul><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>ALTER</span> <span style=color:#66d9ef>TABLE</span> orders CHANGE <span style=color:#66d9ef>COLUMN</span> quantity quantity int <span style=color:#66d9ef>AFTER</span> price;
+</span></span></code></pre></div><ul><li>Change a column type - only if the Iceberg defined the column type change as safe</li></ul><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>ALTER</span> <span style=color:#66d9ef>TABLE</span> orders CHANGE <span style=color:#66d9ef>COLUMN</span> price price long;
+</span></span></code></pre></div><ul><li>Drop column by using REPLACE COLUMN to remove the old column</li></ul><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>ALTER</span> <span style=color:#66d9ef>TABLE</span> orders <span style=color:#66d9ef>REPLACE</span> COLUMNS (remaining string);
+</span></span></code></pre></div><blockquote class="book-hint info">Note, that dropping columns is only thing REPLACE COLUMNS can be used for
+i.e. if columns are specified out-of-order an error will be thrown signalling this limitation.</blockquote><h4 id=partition-evolution>Partition evolution
+<a class=anchor href=#partition-evolution>#</a></h4><p>You change the partitioning schema using the following commands:</p><ul><li>Change the partitioning schema to new identity partitions:</li></ul><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>ALTER</span> <span style=color:#66d9ef>TABLE</span> <span style=color:#66d [...]
+</span></span></code></pre></div><ul><li>Alternatively, provide a partition specification:</li></ul><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>ALTER</span> <span style=color:#66d9ef>TABLE</span> <span style=color:#66d9ef>order</span> <span style=color:#66d9ef>SET</span> PARTITION SPEC (<span style=color:#66d9ef>mon [...]
+</span></span></code></pre></div><h4 id=table-migration>Table migration
+<a class=anchor href=#table-migration>#</a></h4><p>You can migrate Avro / Parquet / ORC external tables to Iceberg tables using the following command:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>ALTER</span> <span style=color:#66d9ef>TABLE</span> t <span style=color:#66d9ef>SET</span> TBLPROPERTIES (<span style=c [...]
+</span></span></code></pre></div><p>During the migration the data files are not changed, only the appropriate Iceberg metadata files are created.
+After the migration, handle the table as a normal Iceberg table.</p><h3 id=truncate-table>TRUNCATE TABLE
+<a class=anchor href=#truncate-table>#</a></h3><p>The following command truncates the Iceberg table:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>TRUNCATE</span> <span style=color:#66d9ef>TABLE</span> t;
+</span></span></code></pre></div><p>Using a partition specification is not allowed.</p><h3 id=drop-table>DROP TABLE
<a class=anchor href=#drop-table>#</a></h3><p>Tables can be dropped using the <code>DROP TABLE</code> command:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>DROP</span> <span style=color:#66d9ef>TABLE</span> [<span style=color:#66d9ef>IF</span> <span style=color:#66d9ef>EXISTS</span>] <span style=color:#66d9ef>tabl [...]
-</span></span></code></pre></div><p>You can configure purge behavior through global Hadoop configuration or Hive metastore table properties:</p><table><thead><tr><th>Config key</th><th>Default</th><th>Description</th></tr></thead><tbody><tr><td>external.table.purge</td><td>true</td><td>if all data and metadata should be purged in a table by default</td></tr></tbody></table><p>Each Iceberg table’s default purge behavior can also be configured through Iceberg table properties:</p><ta [...]
-When setting <code>external.table.purge</code> as a table prop during Hive <code>CREATE TABLE</code>, <code>gc.enabled</code> is pushed down accordingly to the Iceberg table properties.
-This makes sure that the 2 properties are always consistent at table level between Hive and Iceberg.</p><blockquote class="book-hint danger">Changing <code>external.table.purge</code> via Hive <code>ALTER TABLE SET TBLPROPERTIES</code> does not update <code>gc.enabled</code> on the Iceberg table.
-This is a limitation on Hive 3.1.2 because the <code>HiveMetaHook</code> doesn’t have all the hooks for alter tables yet.</blockquote><h2 id=querying-with-sql>Querying with SQL
-<a class=anchor href=#querying-with-sql>#</a></h2><p>Here are the features highlights for Iceberg Hive read support:</p><ol><li><strong>Predicate pushdown</strong>: Pushdown of the Hive SQL <code>WHERE</code> clause has been implemented so that these filters are used at the Iceberg <code>TableScan</code> level as well as by the Parquet and ORC Readers.</li><li><strong>Column projection</strong>: Columns from the Hive SQL <code>SELECT</code> clause are projected down to the Iceberg reader [...]
-<a class=anchor href=#configurations>#</a></h3><p>Here are the Hadoop configurations that one can adjust for the Hive reader:</p><table><thead><tr><th>Config key</th><th>Default</th><th>Description</th></tr></thead><tbody><tr><td>iceberg.mr.reuse.containers</td><td>false</td><td>if Avro reader should reuse containers</td></tr><tr><td>iceberg.mr.case.sensitive</td><td>true</td><td>if the query is case-sensitive</td></tr></tbody></table><h3 id=select>SELECT
-<a class=anchor href=#select>#</a></h3><p>You should now be able to issue Hive SQL <code>SELECT</code> queries and see the results returned from the underlying Iceberg table, for example:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>SELECT</span> <span style=color:#f92672>*</span> <span style=color:#66d9ef>from</s [...]
-</span></span></code></pre></div><h2 id=writing-with-sql>Writing with SQL
-<a class=anchor href=#writing-with-sql>#</a></h2><h3 id=configurations-1>Configurations
-<a class=anchor href=#configurations-1>#</a></h3><p>Here are the Hadoop configurations that one can adjust for the Hive writer:</p><table><thead><tr><th>Config key</th><th>Default</th><th>Description</th></tr></thead><tbody><tr><td>iceberg.mr.commit.table.thread.pool.size</td><td>10</td><td>the number of threads of a shared thread pool to execute parallel commits for output tables</td></tr><tr><td>iceberg.mr.commit.file.thread.pool.size</td><td>10</td><td>the number of threads of a share [...]
-<a class=anchor href=#insert-into>#</a></h3><p>Hive supports the standard single-table <code>INSERT INTO</code> operation:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>INSERT</span> <span style=color:#66d9ef>INTO</span> table_a <span style=color:#66d9ef>VALUES</span> (<span style=color:#e6db74>'a'</span>, [...]
+</span></span></code></pre></div><h2 id=dml-commands>DML Commands
+<a class=anchor href=#dml-commands>#</a></h2><h3 id=select>SELECT
+<a class=anchor href=#select>#</a></h3><p>Select statements work the same on Iceberg tables in Hive. You will see the Iceberg benefits over Hive in compilation and execution:</p><ul><li><strong>No file system listings</strong> - especially important on blob stores, like S3</li><li><strong>No partition listing from</strong> the Metastore</li><li><strong>Advanced partition filtering</strong> - the partition keys are not needed in the queries when they could be calculated</li><li>Could hand [...]
+Also currently the statistics stored in the MetaStore are used for query planning. This is something we are planning to improve in the future.</p><h3 id=insert-into>INSERT INTO
+<a class=anchor href=#insert-into>#</a></h3><p>Hive supports the standard single-table INSERT INTO operation:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>INSERT</span> <span style=color:#66d9ef>INTO</span> table_a <span style=color:#66d9ef>VALUES</span> (<span style=color:#e6db74>'a'</span>, <span style=c [...]
</span></span><span style=display:flex><span><span style=color:#66d9ef>INSERT</span> <span style=color:#66d9ef>INTO</span> table_a <span style=color:#66d9ef>SELECT</span> ...;
-</span></span></code></pre></div><p>Multi-table insert is also supported, but it will not be atomic and are committed one table at a time. Partial changes will be visible during the commit process and failures can leave partial changes committed. Changes within a single table will remain atomic.</p><p>Here is an example of inserting into multiple tables at once in Hive SQL:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4; [...]
-</span></span><span style=display:flex><span> <span style=color:#66d9ef>INSERT</span> <span style=color:#66d9ef>INTO</span> target1 <span style=color:#66d9ef>SELECT</span> customer_id, first_name
-</span></span><span style=display:flex><span> <span style=color:#66d9ef>INSERT</span> <span style=color:#66d9ef>INTO</span> target2 <span style=color:#66d9ef>SELECT</span> last_name, customer_id;
+</span></span></code></pre></div><p>Multi-table insert is also supported, but it will not be atomic. Commits occur one table at a time.
+Partial changes will be visible during the commit process and failures can leave partial changes committed.
+Changes within a single table will remain atomic.</p><p>Here is an example of inserting into multiple tables at once in Hive SQL:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>FROM</span> customers
+</span></span><span style=display:flex><span> <span style=color:#66d9ef>INSERT</span> <span style=color:#66d9ef>INTO</span> target1 <span style=color:#66d9ef>SELECT</span> customer_id, first_name
+</span></span><span style=display:flex><span> <span style=color:#66d9ef>INSERT</span> <span style=color:#66d9ef>INTO</span> target2 <span style=color:#66d9ef>SELECT</span> last_name, customer_id;
+</span></span></code></pre></div><h3 id=insert-overwrite>INSERT OVERWRITE
+<a class=anchor href=#insert-overwrite>#</a></h3><p>INSERT OVERWRITE can replace data in the table with the result of a query. Overwrites are atomic operations for Iceberg tables.
+For nonpartitioned tables the content of the table is always removed. For partitioned tables the partitions
+that have rows produced by the SELECT query will be replaced.</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>INSERT</span> OVERWRITE <span style=color:#66d9ef>TABLE</span> target <span style=color:#66d9ef>SELECT</span> <span style=color:#f92672>*</span> <span style=color:#66d9ef>FROM</span> <span style=color:#66d9ef [...]
+</span></span></code></pre></div><h3 id=querying-metadata-tables>QUERYING METADATA TABLES
+<a class=anchor href=#querying-metadata-tables>#</a></h3><p>Hive supports querying of the Iceberg Metadata tables. The tables could be used as normal
+Hive tables, so it is possible to use projections / joins / filters / etc.
+To reference a metadata table the full name of the table should be used, like:
+<DB_NAME>.<TABLE_NAME>.<METADATA_TABLE_NAME>.</p><p>Currently the following metadata tables are available in Hive:</p><ul><li>files</li><li>entries</li><li>snapshots</li><li>manifests</li><li>partitions</li></ul><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>SELECT</span> <span style=color:#f92672>*</span> <sp [...]
+</span></span></code></pre></div><h3 id=timetaravel>TIMETARAVEL
+<a class=anchor href=#timetaravel>#</a></h3><p>Hive supports snapshot id based and time base timetravel queries.
+For these views it is possible to use projections / joins / filters / etc.
+The function is available with the following syntax:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-sql data-lang=sql><span style=display:flex><span><span style=color:#66d9ef>SELECT</span> <span style=color:#f92672>*</span> <span style=color:#66d9ef>FROM</span> table_a <span style=color:#66d9ef>FOR</span> SYSTEM_TIME <span style=color:#66d9ef>AS</span> <span style=color:#66d9ef>OF</span> < [...]
+</span></span><span style=display:flex><span><span style=color:#66d9ef>SELECT</span> <span style=color:#f92672>*</span> <span style=color:#66d9ef>FROM</span> table_a <span style=color:#66d9ef>FOR</span> SYSTEM_VERSION <span style=color:#66d9ef>AS</span> <span style=color:#66d9ef>OF</span> <span style=color:#ae81ff>1234567</span>;
</span></span></code></pre></div><h2 id=type-compatibility>Type compatibility
<a class=anchor href=#type-compatibility>#</a></h2><p>Hive and Iceberg support different set of types. Iceberg can perform type conversion automatically, but not for all combinations,
so you may want to understand the type conversion in Iceberg in prior to design the types of columns in your tables.
You can enable auto-conversion through Hadoop configuration (not enabled by default):</p><table><thead><tr><th>Config key</th><th>Default</th><th>Description</th></tr></thead><tbody><tr><td>iceberg.mr.schema.auto.conversion</td><td>false</td><td>if Hive should perform type auto-conversion</td></tr></tbody></table><h3 id=hive-type-to-iceberg-type>Hive type to Iceberg type
<a class=anchor href=#hive-type-to-iceberg-type>#</a></h3><p>This type conversion table describes how Hive types are converted to the Iceberg types.
-The conversion applies on both creating Iceberg table and writing to Iceberg table via Hive.</p><table><thead><tr><th>Hive</th><th>Iceberg</th><th>Notes</th></tr></thead><tbody><tr><td>boolean</td><td>boolean</td><td></td></tr><tr><td>short</td><td>integer</td><td>auto-conversion</td></tr><tr><td>byte</td><td>integer</td><td>auto-conversion</td></tr><tr><td>integer</td><td>integer</td><td></td></tr><tr><td>long</td><td>long</td><td></td></tr><tr><td>float</td><td>float</td><td></td></tr> [...]
\ No newline at end of file
+The conversion applies on both creating Iceberg table and writing to Iceberg table via Hive.</p><table><thead><tr><th>Hive</th><th>Iceberg</th><th>Notes</th></tr></thead><tbody><tr><td>boolean</td><td>boolean</td><td></td></tr><tr><td>short</td><td>integer</td><td>auto-conversion</td></tr><tr><td>byte</td><td>integer</td><td>auto-conversion</td></tr><tr><td>integer</td><td>integer</td><td></td></tr><tr><td>long</td><td>long</td><td></td></tr><tr><td>float</td><td>float</td><td></td></tr> [...]
\ No newline at end of file
diff --git a/docs/latest/index.html b/docs/latest/index.html
index 54a59602..334451e5 100644
--- a/docs/latest/index.html
+++ b/docs/latest/index.html
@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta name=generator content="Hugo 0.101.0"><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including Spark, Trino, PrestoDB, Flink and Hive using a high-performance table format that works just like a SQL table.
User experience # Iceberg avoids unpleasant surprises. Schema evolution works and won’t inadvertently un-delete data. Users don’t need to know about partitioning to get fast queries.
Schema evolution supports add, drop, update, or rename, and has no side-effects Hidden partitioning prevents user mistakes that cause silently incorrect results or extremely slow queries Partition layout evolution can update the layout of a table as data volume or query patterns change Time travel enables reproducible queries that use exactly the same table snapshot, or lets users easily examine changes Version rollback allows users to quickly correct problems by resetting tables to a go [...]
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diff --git a/docs/latest/java-api-quickstart/index.html b/docs/latest/java-api-quickstart/index.html
index b1864382..08d5efcc 100644
--- a/docs/latest/java-api-quickstart/index.html
+++ b/docs/latest/java-api-quickstart/index.html
@@ -3,7 +3,7 @@ Using a Hive catalog # The Hive catalog connects to a Hive metastore to keep tra
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Using a Hive catalog # The Hive catalog connects to a Hive metastore to keep track of Iceberg tables. You can initialize a Hive catalog with a name and some properties. (see: Catalog properties)
Note: Currently, setConf is always required for hive catalogs, but this will change in the future."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/java-api-quickstart/"><meta property="article:section" content="docs"><title>Java Quickstart | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest.json><link rel=icon href=/docs/latest/favicon.png type=image/x-icon><link rel=stylesheet href=/docs/latest/book.mi [...]
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diff --git a/docs/latest/jdbc/index.html b/docs/latest/jdbc/index.html
index cfc130c7..1ad6597b 100644
--- a/docs/latest/jdbc/index.html
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@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Iceberg JDBC Integration # JDBC Catalog # Iceberg supports using a table in a relational database to manage Iceberg tables through JDBC. The database that JDBC connects to must support atomic transaction to allow the JDBC catalog implementation to properly support atomic Iceberg table commits and read serializable isolation.
Configurations # Because each database and database service provider might require different configurations, the JDBC catalog allows arbitrary configurations through:"><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="JDBC"><meta property="og:description" content="Iceberg JDBC Integration # JDBC Catalog # Iceberg supports using a table in a relational database to manage Iceberg tables through JDBC. The database that J [...]
Configurations # Because each database and database service provider might require different configurations, the JDBC catalog allows arbitrary configurations through:"><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/jdbc/"><meta property="article:section" content="docs"><title>JDBC | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest.json><link rel=icon href=/docs/latest/favicon.png type=image/x-icon><lin [...]
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<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
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diff --git a/docs/latest/maintenance/index.html b/docs/latest/maintenance/index.html
index 6aa453b9..76c77653 100644
--- a/docs/latest/maintenance/index.html
+++ b/docs/latest/maintenance/index.html
@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Maintenance # Maintenance operations require the Table instance. Please refer Java API quickstart page to refer how to load an existing table. Recommended Maintenance # Expire Snapshots # Each write to an Iceberg table creates a new snapshot, or version, of a table. Snapshots can be used for time-travel queries, or the table can b [...]
Snapshots accumulate until they are expired by the expireSnapshots operation."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content><meta property="og:description" content="Maintenance # Maintenance operations require the Table instance. Please refer Java API quickstart page to refer how to load an existing table. Recommended Maintenance # Expire Snapshots # Each write to an Iceberg table creates a new snapshot, or versio [...]
Snapshots accumulate until they are expired by the expireSnapshots operation."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/maintenance/"><meta property="article:section" content="docs"><title>Maintenance | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest.json><link rel=icon href=/docs/latest/favicon.png type=image/x-icon><link rel=stylesheet href=/docs/latest/book.min.382d02a42babcef8e45d56616eebb54 [...]
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<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
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diff --git a/docs/latest/nessie/index.html b/docs/latest/nessie/index.html
index fa085ad8..ce9fb074 100644
--- a/docs/latest/nessie/index.html
+++ b/docs/latest/nessie/index.html
@@ -3,7 +3,7 @@ multi-table transactions git-like operations (eg branches, tags, commits) hive-l
Enabling Nessie Catalog # The iceberg-nessie module is bundled with Spark and Flink runtimes for all versions from 0."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="Nessie"><meta property="og:description" content="Iceberg Nessie Integration # Iceberg provides integration with Nessie through the iceberg-nessie module. This section describes how to use Iceberg with Nessie. Nessie provides several key features on top [...]
multi-table transactions git-like operations (eg branches, tags, commits) hive-like metastore capabilities See Project Nessie for more information on Nessie. Nessie requires a server to run, see Getting Started to start a Nessie server.
Enabling Nessie Catalog # The iceberg-nessie module is bundled with Spark and Flink runtimes for all versions from 0."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/nessie/"><meta property="article:section" content="docs"><title>Nessie | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest.json><link rel=icon href=/docs/latest/favicon.png type=image/x-icon><link rel=stylesheet href=/docs/latest/book.min.3 [...]
-<script defer src=/docs/latest/en.search.min.7f9807f68d72554758ec4bf61e9a871dceb7b6e6e462ce815e14eaa78d79c039.js integrity="sha256-f5gH9o1yVUdY7Ev2HpqHHc63tubkYs6BXhTqp415wDk=" crossorigin=anonymous></script></head><body dir=ltr><input type=checkbox class="hidden toggle" id=menu-control>
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<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
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diff --git a/docs/latest/partitioning/index.html b/docs/latest/partitioning/index.html
index 6d342caa..fd7b5e37 100644
--- a/docs/latest/partitioning/index.html
+++ b/docs/latest/partitioning/index.html
@@ -3,7 +3,7 @@ For example, queries for log entries from a logs table would usually include a t
SELECT level, message FROM logs WHERE event_time BETWEEN '2018-12-01 10:00:00' AND '2018-12-01 12:00:00' Configuring the logs table to partition by the date of event_time will group log events into files with the same event date."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content><meta property="og:description" content="Partitioning # What is partitioning? # Partitioning is a way to make queries faster by grouping simi [...]
For example, queries for log entries from a logs table would usually include a time range, like this query for logs between 10 and 12 AM:
SELECT level, message FROM logs WHERE event_time BETWEEN '2018-12-01 10:00:00' AND '2018-12-01 12:00:00' Configuring the logs table to partition by the date of event_time will group log events into files with the same event date."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/partitioning/"><meta property="article:section" content="docs"><title>Partitioning | Apache Iceberg</title><link rel=manifest href=/docs/latest/ma [...]
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diff --git a/docs/latest/performance/index.html b/docs/latest/performance/index.html
index 605a637d..7b85af8a 100644
--- a/docs/latest/performance/index.html
+++ b/docs/latest/performance/index.html
@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Performance # Iceberg is designed for huge tables and is used in production where a single table can contain tens of petabytes of data. Even multi-petabyte tables can be read from a single node, without needing a distributed SQL engine to sift through table metadata. Scan planning # Scan planning is the process of finding the file [...]
Planning in an Iceberg table fits on a single node because Iceberg’s metadata can be used to prune metadata files that aren’t needed, in addition to filtering data files that don’t contain matching data."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content><meta property="og:description" content="Performance # Iceberg is designed for huge tables and is used in production where a single table can contain [...]
Planning in an Iceberg table fits on a single node because Iceberg’s metadata can be used to prune metadata files that aren’t needed, in addition to filtering data files that don’t contain matching data."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/performance/"><meta property="article:section" content="docs"><title>Performance | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest.jso [...]
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<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
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diff --git a/docs/latest/python-api-intro/index.html b/docs/latest/python-api-intro/index.html
index 44dc3f77..3fed1737 100644
--- a/docs/latest/python-api-intro/index.html
+++ b/docs/latest/python-api-intro/index.html
@@ -7,7 +7,7 @@ Catalog # The Catalog interface, like java provides search and management operat
To create a catalog:
from iceberg.hive import HiveTables # instantiate Hive Tables conf = {"hive.metastore.uris": 'thrift://{hms_host}:{hms_port}', "hive.metastore.warehouse.dir": {tmpdir} } tables = HiveTables(conf) and to create a table from a catalog:
from iceberg."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/python-api-intro/"><meta property="article:section" content="docs"><title>Python API | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest.json><link rel=icon href=/docs/latest/favicon.png type=image/x-icon><link rel=stylesheet href=/docs/latest/book.min.382d02a42babcef8e45d56616eebb5450770cf883b4185c7cbd5ecc4cb40920b.css integrity="sha256-OC0C [...]
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diff --git a/docs/latest/python-feature-support/index.html b/docs/latest/python-feature-support/index.html
index ff163181..0a708bef 100644
--- a/docs/latest/python-feature-support/index.html
+++ b/docs/latest/python-feature-support/index.html
@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Feature Support # The goal is that the python library will provide a functional, performant subset of the java library. The initial focus has been on reading table metadata as well as providing the capability to both plan and execute a scan.
Feature Comparison # Metadata # Operation Java Python Get Schema X X Get Snapshots X X Plan Scan X X Plan Scan for Snapshot X X Update Current Snapshot X Set Table Properties X Create Table X X Drop Table X X Alter Table X Read Support # Pyarrow is used for reading parquet files, so read support is limited to what is currently supported in the pyarrow."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="Python Feature [...]
Feature Comparison # Metadata # Operation Java Python Get Schema X X Get Snapshots X X Plan Scan X X Plan Scan for Snapshot X X Update Current Snapshot X Set Table Properties X Create Table X X Drop Table X X Alter Table X Read Support # Pyarrow is used for reading parquet files, so read support is limited to what is currently supported in the pyarrow."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/python-feature-suppor [...]
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<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
<a href=https://join.slack.com/t/apache-iceberg/shared_invite/zt-tlv0zjz6-jGJEkHfb1~heMCJA3Uycrg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/Slack_Mark_Web.png target=_blank class=top-external-icon></a></div><ul><li class=book-section-flats><span><i class="fa fa-table fa-fw"></i>
diff --git a/docs/latest/python-quickstart/index.html b/docs/latest/python-quickstart/index.html
index fb7f4e55..67f9cace 100644
--- a/docs/latest/python-quickstart/index.html
+++ b/docs/latest/python-quickstart/index.html
@@ -3,7 +3,7 @@ git clone https://github.com/apache/iceberg.git cd iceberg/python pip install -e
# simply run tox from within the python dir tox Examples # Inspect Table Metadata # from iceberg."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="Python Quickstart"><meta property="og:description" content="Python API Quickstart # Installation # Iceberg python is currently in development, for development and testing purposes the best way to install the library is to perform the following steps:
git clone https://github.com/apache/iceberg.git cd iceberg/python pip install -e . Testing # Testing is done using tox. The config can be found in tox.ini within the python directory of the iceberg project.
# simply run tox from within the python dir tox Examples # Inspect Table Metadata # from iceberg."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/python-quickstart/"><meta property="article:section" content="docs"><title>Python Quickstart | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest.json><link rel=icon href=/docs/latest/favicon.png type=image/x-icon><link rel=stylesheet href=/docs/latest/book.min [...]
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<input type=checkbox class="hidden toggle" id=toc-control><main class="container flex"><aside class=book-menu><div class=book-menu-content><nav><h2 class=book-brand><a class="flex align-center" href=/docs/latest/../../><img src=/docs/latest/img/iceberg-logo-icon.png alt=Logo><span>Apache Iceberg</span></a>
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diff --git a/docs/latest/reliability/index.html b/docs/latest/reliability/index.html
index 2c59d60e..d945e815 100644
--- a/docs/latest/reliability/index.html
+++ b/docs/latest/reliability/index.html
@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Reliability # Iceberg was designed to solve correctness problems that affect Hive tables running in S3.
Hive tables track data files using both a central metastore for partitions and a file system for individual files. This makes atomic changes to a table’s contents impossible, and eventually consistent stores like S3 may return incorrect results due to the use of listing files to reconstruct the state of a table. It also requires job planning to make many slow listing calls: O(n) with the number of partitions."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content [...]
Hive tables track data files using both a central metastore for partitions and a file system for individual files. This makes atomic changes to a table’s contents impossible, and eventually consistent stores like S3 may return incorrect results due to the use of listing files to reconstruct the state of a table. It also requires job planning to make many slow listing calls: O(n) with the number of partitions."><meta property="og:type" content="article"><meta property="og:url" conte [...]
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<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
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diff --git a/docs/latest/schemas/index.html b/docs/latest/schemas/index.html
index c7d73e73..04696470 100644
--- a/docs/latest/schemas/index.html
+++ b/docs/latest/schemas/index.html
@@ -1,7 +1,7 @@
<!doctype html><html lang=en dir=ltr><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Schemas # Iceberg tables support the following types:
Type Description Notes boolean True or false int 32-bit signed integers Can promote to long long 64-bit signed integers float 32-bit IEEE 754 floating point Can promote to double double 64-bit IEEE 754 floating point decimal(P,S) Fixed-point decimal; precision P, scale S Scale is fixed and precision must be 38 or less date Calendar date without timezone or time time Time of day without date, timezone Stored as microseconds timestamp Timestamp without timezone Stored as microseconds times [...]
Type Description Notes boolean True or false int 32-bit signed integers Can promote to long long 64-bit signed integers float 32-bit IEEE 754 floating point Can promote to double double 64-bit IEEE 754 floating point decimal(P,S) Fixed-point decimal; precision P, scale S Scale is fixed and precision must be 38 or less date Calendar date without timezone or time time Time of day without date, timezone Stored as microseconds timestamp Timestamp without timezone Stored as microseconds times [...]
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<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
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diff --git a/docs/latest/spark-configuration/index.html b/docs/latest/spark-configuration/index.html
index 98fc9608..4f37abde 100644
--- a/docs/latest/spark-configuration/index.html
+++ b/docs/latest/spark-configuration/index.html
@@ -3,7 +3,7 @@ This creates an Iceberg catalog named hive_prod that loads tables from a Hive me
spark.sql.catalog.hive_prod = org.apache.iceberg.spark.SparkCatalog spark.sql.catalog.hive_prod.type = hive spark.sql.catalog.hive_prod.uri = thrift://metastore-host:port # omit uri to use the same URI as Spark: hive.metastore.uris in hive-site."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="Configuration"><meta property="og:description" content="Spark Configuration # Catalogs # Spark 3.0 adds an API to plug in ta [...]
This creates an Iceberg catalog named hive_prod that loads tables from a Hive metastore:
spark.sql.catalog.hive_prod = org.apache.iceberg.spark.SparkCatalog spark.sql.catalog.hive_prod.type = hive spark.sql.catalog.hive_prod.uri = thrift://metastore-host:port # omit uri to use the same URI as Spark: hive.metastore.uris in hive-site."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/spark-configuration/"><meta property="article:section" content="docs"><title>Configuration | Apache Iceberg</title><link rel=manif [...]
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<a href=https://iceberg.apache.org/docs/latest/../../releases><img id=version-shield src=https://img.shields.io/badge/version-0.13.2-blue alt></a></h2><div class=book-search><div class="book-search-spinner hidden"></div><a href=https://github.com/apache/iceberg target=_blank><img src=https://iceberg.apache.org/docs/latest/img/GitHub-Mark.png target=_blank class=top-external-icon></a>
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diff --git a/docs/latest/spark-ddl/index.html b/docs/latest/spark-ddl/index.html
index 1ba2ed43..9dbd4fe1 100644
--- a/docs/latest/spark-ddl/index.html
+++ b/docs/latest/spark-ddl/index.html
@@ -3,7 +3,7 @@ Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog i
Spark 2.4 can’t create Iceberg tables with DDL, instead use Spark 3.x or the Iceberg API. CREATE TABLE # Spark 3.0 can create tables in any Iceberg catalog with the clause USING iceberg:"><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="DDL"><meta property="og:description" content="Spark DDL # To use Iceberg in Spark, first configure Spark catalogs.
Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. Spark DSv2 is an evolving API with different levels of support in Spark versions. Spark 2.4 does not support SQL DDL.
Spark 2.4 can’t create Iceberg tables with DDL, instead use Spark 3.x or the Iceberg API. CREATE TABLE # Spark 3.0 can create tables in any Iceberg catalog with the clause USING iceberg:"><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/spark-ddl/"><meta property="article:section" content="docs"><title>DDL | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest.json><link rel=icon href=/docs/latest/favi [...]
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diff --git a/docs/latest/spark-procedures/index.html b/docs/latest/spark-procedures/index.html
index 9528b59f..0db14858 100644
--- a/docs/latest/spark-procedures/index.html
+++ b/docs/latest/spark-procedures/index.html
@@ -5,7 +5,7 @@ Named arguments # All procedure arguments are named."><meta name=theme-color con
Usage # Procedures can be used from any configured Iceberg catalog with CALL. All procedures are in the namespace system.
CALL supports passing arguments by name (recommended) or by position. Mixing position and named arguments is not supported.
Named arguments # All procedure arguments are named."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/spark-procedures/"><meta property="article:section" content="docs"><title>Procedures | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest.json><link rel=icon href=/docs/latest/favicon.png type=image/x-icon><link rel=stylesheet href=/docs/latest/book.min.382d02a42babcef8e45d56616eebb5450770cf883b4185c7cbd5 [...]
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diff --git a/docs/latest/spark-queries/index.html b/docs/latest/spark-queries/index.html
index c23ec1c3..09dec264 100644
--- a/docs/latest/spark-queries/index.html
+++ b/docs/latest/spark-queries/index.html
@@ -3,7 +3,7 @@ Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog i
Feature support Spark 3.0 Spark 2.4 Notes SELECT ✔️ DataFrame reads ✔️ ✔️ Metadata table SELECT ✔️ History metadata table ✔️ ✔️ Snapshots metadata table ✔️ ✔️ Files metadata table ✔️ ✔️ Manifests metadata table ✔️ ✔️ Partitions metadata table ✔️ ✔️ All metadata tables ✔️ ✔️ Querying with SQL # In Spark 3, tables use identifiers that include a catalog name."><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="Queries"><m [...]
Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. Spark DSv2 is an evolving API with different levels of support in Spark versions:
Feature support Spark 3.0 Spark 2.4 Notes SELECT ✔️ DataFrame reads ✔️ ✔️ Metadata table SELECT ✔️ History metadata table ✔️ ✔️ Snapshots metadata table ✔️ ✔️ Files metadata table ✔️ ✔️ Manifests metadata table ✔️ ✔️ Partitions metadata table ✔️ ✔️ All metadata tables ✔️ ✔️ Querying with SQL # In Spark 3, tables use identifiers that include a catalog name."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/spark-queries/">< [...]
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diff --git a/docs/latest/spark-structured-streaming/index.html b/docs/latest/spark-structured-streaming/index.html
index e384beb2..381896ce 100644
--- a/docs/latest/spark-structured-streaming/index.html
+++ b/docs/latest/spark-structured-streaming/index.html
@@ -3,7 +3,7 @@ As of Spark 3.0, DataFrame reads and writes are supported.
Feature support Spark 3.0 Spark 2.4 Notes DataFrame write ✔ ✔ Streaming Reads # Iceberg supports processing incremental data in spark structured streaming jobs which starts from a historical timestamp:"><meta name=theme-color content="#FFFFFF"><meta name=color-scheme content="light dark"><meta property="og:title" content="Structured Streaming"><meta property="og:description" content="Spark Structured Streaming # Iceberg uses Apache Spark’s DataSourceV2 API for data source and catal [...]
As of Spark 3.0, DataFrame reads and writes are supported.
Feature support Spark 3.0 Spark 2.4 Notes DataFrame write ✔ ✔ Streaming Reads # Iceberg supports processing incremental data in spark structured streaming jobs which starts from a historical timestamp:"><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/spark-structured-streaming/"><meta property="article:section" content="docs"><title>Structured Streaming | Apache Iceberg</title><link rel=manifest href=/docs/latest/manifest [...]
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diff --git a/docs/latest/spark-writes/index.html b/docs/latest/spark-writes/index.html
index 7811c750..40610e92 100644
--- a/docs/latest/spark-writes/index.html
+++ b/docs/latest/spark-writes/index.html
@@ -5,7 +5,7 @@ Feature support Spark 3.0 Spark 2.4 Notes SQL insert into ✔️ SQL merge into
Some plans are only available when using Iceberg SQL extensions in Spark 3.x.
Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. Spark DSv2 is an evolving API with different levels of support in Spark versions:
Feature support Spark 3.0 Spark 2.4 Notes SQL insert into ✔️ SQL merge into ✔️ ⚠ Requires Iceberg Spark extensions SQL insert overwrite ✔️ SQL delete from ✔️ ⚠ Row-level delete requires Spark extensions SQL update ✔️ ⚠ Requires Iceberg Spark extensions DataFrame append ✔️ ✔️ DataFrame overwrite ✔️ ✔️ ⚠ Behavior changed in Spark 3."><meta property="og:type" content="article"><meta property="og:url" content="https://iceberg.apache.org/docs/latest/spark-writes/"><meta property="article:sect [...]
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diff --git a/docs/latest/tags/index.html b/docs/latest/tags/index.html
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