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Posted to commits@beam.apache.org by gi...@apache.org on 2020/07/17 00:05:10 UTC
[beam] branch asf-site updated: Publishing website 2020/07/17
00:04:51 at commit a46f007
This is an automated email from the ASF dual-hosted git repository.
git-site-role pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/beam.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 5cf2911 Publishing website 2020/07/17 00:04:51 at commit a46f007
5cf2911 is described below
commit 5cf291192a9fd39c651d3a4440711ea940e14ed9
Author: jenkins <us...@infra.apache.org>
AuthorDate: Fri Jul 17 00:04:52 2020 +0000
Publishing website 2020/07/17 00:04:51 at commit a46f007
---
.../generated-content/documentation/dsls/sql/overview/index.html | 7 +++++--
website/generated-content/sitemap.xml | 2 +-
2 files changed, 6 insertions(+), 3 deletions(-)
diff --git a/website/generated-content/documentation/dsls/sql/overview/index.html b/website/generated-content/documentation/dsls/sql/overview/index.html
index f34124a..b708f1c 100644
--- a/website/generated-content/documentation/dsls/sql/overview/index.html
+++ b/website/generated-content/documentation/dsls/sql/overview/index.html
@@ -8,8 +8,11 @@ You can freely mix SQL <code>PTransforms</code> and other <code>PTransforms</cod
big data processing. Beam Calcite SQL is the default Beam SQL dialect. Beam ZetaSQL is more compatible with BigQuery, so it’s especially useful in pipelines that <a href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.html>write to or read from BigQuery tables</a>.</p><p>To change dialects, pass <a href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/extensions/sql/package-summary.html>the dialect’s full pac [...]
the type of elements that Beam SQL operates on. A <code>PCollection<Row></code> plays the role of a table.</li></ul><h2 id=walkthrough>Walkthrough</h2><p>The <a href=/documentation/dsls/sql/walkthrough>SQL pipeline walkthrough</a> works through how to use Beam SQL with example code.</p><h2 id=shell>Shell</h2><p>The Beam SQL shell allows you to write pipelines as SQL queries without using the Java SDK.
The <a href=/documentation/dsls/sql/shell>Shell page</a> describes how to work with the interactive Beam SQL shell.</p><h2 id=apache-calcite-dialect>Apache Calcite dialect</h2><p>The <a href=/documentation/dsls/sql/calcite/overview>Beam Calcite SQL overview</a> summarizes Apache Calcite operators,
-functions, syntax, and data types supported by Beam Calcite SQL.</p><h2 id=zetasql-dialect>ZetaSQL dialect</h2><p>For more information on the ZetaSQL features in Beam SQL, see the <a href=/documentation/dsls/sql/zetasql/overview>Beam ZetaSQL dialect reference</a>.</p><p>To switch to Beam ZetaSQL, configure the <a href=https://beam.apache.org/releases/javadoc/2.15.0/org/apache/beam/sdk/options/PipelineOptions.html>pipeline options</a> as follows:</p><pre><code>setPlannerName("org.apa [...]
-</code></pre><h2 id=beam-sql-extensions>Beam SQL extensions</h2><p>Beam SQL has additional extensions leveraging Beam’s unified batch/streaming model and processing complex data types. You can use these extensions with all Beam SQL dialects.</p></div></div><footer class=footer><div class=footer__contained><div class=footer__cols><div class=footer__cols__col><div class=footer__cols__col__logo><img src=/images/beam_logo_circle.svg class=footer__logo alt="Beam logo"></div><div class=footer_ [...]
+functions, syntax, and data types supported by Beam Calcite SQL.</p><h2 id=zetasql-dialect>ZetaSQL dialect</h2><p>For more information on the ZetaSQL features in Beam SQL, see the <a href=/documentation/dsls/sql/zetasql/overview>Beam ZetaSQL dialect reference</a>.</p><p>To switch to Beam ZetaSQL, configure the <a href=https://beam.apache.org/releases/javadoc/2.15.0/org/apache/beam/sdk/options/PipelineOptions.html>pipeline options</a> as follows:</p><pre><code>PipelineOptions options = ...;
+options
+ .as(BeamSqlPipelineOptions.class)
+ .setPlannerName("org.apache.beam.sdk.extensions.sql.zetasql.ZetaSQLQueryPlanner");
+</code></pre><p>Note, Use of the <code>ZetaSQLQueryPlanner</code> requires an additional dependency on <code>beam-sdks-java-extensions-sql-zetasql</code> in addition to the <code>beam-sdks-java-extensions-sql</code> package required for <code>CalciteQueryPlanner</code>.</p><h2 id=beam-sql-extensions>Beam SQL extensions</h2><p>Beam SQL has additional extensions leveraging Beam’s unified batch/streaming model and processing complex data types. You can use these extensions with all Beam SQL [...]
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diff --git a/website/generated-content/sitemap.xml b/website/generated-content/sitemap.xml
index 037f4cc9..391ad13 100644
--- a/website/generated-content/sitemap.xml
+++ b/website/generated-content/sitemap.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml"><url><loc>/blog/beam-2.22.0/</loc><lastmod>2020-06-08T14:13:37-07:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2020-06-08T14:13:37-07:00</lastmod></url><url><loc>/blog/</loc><lastmod>2020-06-08T14:13:37-07:00</lastmod></url><url><loc>/categories/</loc><lastmod>2020-06-08T14:13:37-07:00</lastmod></url><url><loc>/blog/b [...]
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+<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml"><url><loc>/blog/beam-2.22.0/</loc><lastmod>2020-06-08T14:13:37-07:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2020-06-08T14:13:37-07:00</lastmod></url><url><loc>/blog/</loc><lastmod>2020-06-08T14:13:37-07:00</lastmod></url><url><loc>/categories/</loc><lastmod>2020-06-08T14:13:37-07:00</lastmod></url><url><loc>/blog/b [...]
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