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<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1"><title>Beam SQL: Overview</title><meta name=description content="Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes."><link href="https://fonts.googleapis.com/css?family=Roboto:100,300,400,500,700" rel=stylesheet><link rel=preload href=/scss/main.min.408fddfe3e8a45f87a5a8c9a839d77db667c1c534e5e5cd0d957ffc3dd6c14cf.css as=style><link href=/scss/main.min.408fddfe3e8a45f87a5a8c9a839d77db667c1c534e5e5cd0d957ffc3dd6c14cf.css rel=stylesheet integrity><script src=https://code.jquery.com/jquery-2.2.4.min.js></script><style>.body__contained img{max-width:100%}</style><script type=text/javascript src=/js/bootstrap.min.2979f9a6e32fc42c3e7406339ee9fe76b31d1b52059776a02b4a7fa6a4fd280a.js defer></script>
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class=section-nav-list-title>Yaml</span><ul class=section-nav-list><li><a href=/documentation/sdks/yaml/>Yaml overview</a></li><li><a href=/documentation/sdks/yaml-udf/>Yaml User Defined Functions</a></li><li><a href=/documentation/sdks/yaml-combine/>Yaml Aggregation</a></li><li><a href=/documentation/sdks/yaml-errors/>Error handling</a></li><li><a href=/documentation/sdks/yaml-inline-python/>Inlining Python</a></li><li><a href=https://beam.apache.org/releases/yamldoc/current/ target=_blank>YAML API reference <img src=/images/external-link-icon.png width=14 height=14 alt="External link."></a></ul></li><li><span class=section-nav-list-title>SQL</span><ul class=section-nav-list><li><a href=/documentation/dsls/sql/overview/>Overview</a></li><li><a href=/documentation/dsls/sql/walkthrough/>Walkthrough</a></li><li><a href=/documentation/dsls/sql/shell/>Shell</a></li><li class=section-nav-item--collapsible><span class=section-nav-list-title>Apache Calcite dialect</span><ul class=section-nav-list><li><a href=/documentation/dsls/sql/calcite/overview/>Calcite support overview</a></li><li><a href=/documentation/dsls/sql/calcite/query-syntax/>Query syntax</a></li><li><a href=/documentation/dsls/sql/calcite/lexical/>Lexical structure</a></li><li><a href=/documentation/dsls/sql/calcite/data-types/>Data types</a></li><li><a href=/documentation/dsls/sql/calcite/scalar-functions/>Scalar functions</a></li><li><a href=/documentation/dsls/sql/calcite/aggregate-functions/>Aggregate functions</a></li></ul></li><li class=section-nav-item--collapsible><span class=section-nav-list-title>ZetaSQL dialect</span><ul class=section-nav-list><li><a href=/documentation/dsls/sql/zetasql/overview/>ZetaSQL support overview</a></li><li><a href=/documentation/dsls/sql/zetasql/syntax/>Function call rules</a></li><li><a href=/documentation/dsls/sql/zetasql/conversion-rules/>Conversion rules</a></li><li><a href=/documentation/dsls/sql/zetasql/query-syntax/>Query syntax</a></li><li><a href=/documentation/dsls/sql/zetasql/lexical/>Lexical structure</a></li><li><a href=/documentation/dsls/sql/zetasql/data-types/>Data types</a></li><li><a href=/documentation/dsls/sql/zetasql/operators/>Operators</a></li><li class=section-nav-item--collapsible><span class=section-nav-list-title>Scalar functions</span><ul class=section-nav-list><li><a href=/documentation/dsls/sql/zetasql/string-functions/>String functions</a></li><li><a href=/documentation/dsls/sql/zetasql/math-functions/>Mathematical functions</a></li><li><a href=/documentation/dsls/sql/zetasql/conditional-expressions/>Conditional expressions</a></li></ul></li><li><a href=/documentation/dsls/sql/zetasql/aggregate-functions/>Aggregate functions</a></li></ul></li><li class=section-nav-item--collapsible><span class=section-nav-list-title>Beam SQL extensions</span><ul class=section-nav-list><li><a href=/documentation/dsls/sql/extensions/create-external-table/>CREATE EXTERNAL TABLE</a></li><li><a href=/documentation/dsls/sql/extensions/windowing-and-triggering/>Windowing & triggering</a></li><li><a href=/documentation/dsls/sql/extensions/joins/>Joins</a></li><li><a href=/documentation/dsls/sql/extensions/user-defined-functions/>User-defined functions</a></li><li><a href=/documentation/dsls/sql/extensions/set/>SET pipeline options</a></li></ul></li></ul></li><li><span class=section-nav-list-title>DataFrames</span><ul class=section-nav-list><li><a href=/documentation/dsls/dataframes/overview/>Overview</a></li><li><a href=/documentation/dsls/dataframes/differences-from-pandas/>Differences from pandas</a></li><li><a href=https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples/dataframe target=_blank>Example pipelines <img src=/images/external-link-icon.png width=14 height=14 alt="External link."></a></li><li><a href=https://beam.apache.org/releases/pydoc/2.55.1/apache_beam.dataframe.html target=_blank>DataFrame API reference <img src=/images/external-link-icon.png width=14 height=14 alt="External link."></a></li></ul></li></ul></nav></div><nav class="page-nav clearfix" data-offset-top=90 data-offset-bottom=500><nav id=TableOfContents><ul><li><a href=#walkthrough>Walkthrough</a></li><li><a href=#shell>Shell</a></li><li><a href=#apache-calcite-dialect>Apache Calcite dialect</a></li><li><a href=#zetasql-dialect>ZetaSQL dialect</a></li><li><a href=#beam-sql-extensions>Beam SQL extensions</a></li></ul></nav></nav><div class="body__contained body__section-nav"><h1 id=beam-sql-overview>Beam SQL overview</h1><p>Beam SQL allows a Beam user (currently only available in Beam Java and Python) to query
bounded and unbounded <code>PCollections</code> with SQL statements. Your SQL query
is translated to a <code>PTransform</code>, an encapsulated segment of a Beam pipeline.
You can freely mix SQL <code>PTransforms</code> and other <code>PTransforms</code> in your pipeline.</p><p>Beam SQL includes the following dialects:</p><ul><li><a href=https://calcite.apache.org>Beam Calcite SQL</a></li><li><a href=https://github.com/google/zetasql>Beam ZetaSQL</a></li></ul><p>Beam Calcite SQL is a variant of Apache Calcite, a dialect widespread in
big data processing. Beam Calcite SQL is the default Beam SQL dialect. Beam ZetaSQL is more compatible with BigQuery, so it&rsquo;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&rsquo;s full package name</a> to the <a href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/extensions/sql/impl/BeamSqlPipelineOptions.html#setPlannerName-java.lang.String-><code>setPlannerName</code></a> method in the <a href=https://beam.apache.org/releases/javadoc/2.15.0/org/apache/beam/sdk/options/PipelineOptions.html><code>PipelineOptions</code></a> interface.</p><p>There are two additional concepts you need to know to use SQL in your pipeline:</p><ul><li><a href=https://beam.apache.org/releases/javadoc/2.55.1/index.html?org/apache/beam/sdk/extensions/sql/SqlTransform.html>SqlTransform</a>: the interface for creating <code>PTransforms</code> from SQL queries.</li><li><a href=https://beam.apache.org/releases/javadoc/2.55.1/index.html?org/apache/beam/sdk/values/Row.html>Row</a>:
the type of elements that Beam SQL operates on. A <code>PCollection&lt;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 tabindex=0><code>PipelineOptions options = ...;
options
.as(BeamSqlPipelineOptions.class)
.setPlannerName(&#34;org.apache.beam.sdk.extensions.sql.zetasql.ZetaSQLQueryPlanner&#34;);
</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 dialects.</p></div></div><footer class=footer><div class=footer__contained><div class=footer__cols><div class="footer__cols__col footer__cols__col__logos"><div class=footer__cols__col__logo><img src=/images/beam_logo_circle.svg class=footer__logo alt="Beam logo"></div><div class=footer__cols__col__logo><img src=/images/apache_logo_circle.svg class=footer__logo alt="Apache logo"></div></div><div class=footer-wrapper><div class=wrapper-grid><div class=footer__cols__col><div class=footer__cols__col__title>Start</div><div class=footer__cols__col__link><a href=/get-started/beam-overview/>Overview</a></div><div class=footer__cols__col__link><a href=/get-started/quickstart-java/>Quickstart (Java)</a></div><div class=footer__cols__col__link><a href=/get-started/quickstart-py/>Quickstart (Python)</a></div><div class=footer__cols__col__link><a href=/get-started/quickstart-go/>Quickstart (Go)</a></div><div class=footer__cols__col__link><a href=/get-started/downloads/>Downloads</a></div></div><div class=footer__cols__col><div class=footer__cols__col__title>Docs</div><div class=footer__cols__col__link><a href=/documentation/programming-guide/>Concepts</a></div><div class=footer__cols__col__link><a href=/documentation/pipelines/design-your-pipeline/>Pipelines</a></div><div class=footer__cols__col__link><a href=/documentation/runners/capability-matrix/>Runners</a></div></div><div class=footer__cols__col><div class=footer__cols__col__title>Community</div><div class=footer__cols__col__link><a href=/contribute/>Contribute</a></div><div class=footer__cols__col__link><a href=https://projects.apache.org/committee.html?beam target=_blank>Team<img src=/images/external-link-icon.png width=14 height=14 alt="External link."></a></div><div class=footer__cols__col__link><a href=/community/presentation-materials/>Media</a></div><div class=footer__cols__col__link><a href=/community/in-person/>Events/Meetups</a></div><div class=footer__cols__col__link><a href=/community/contact-us/>Contact Us</a></div></div><div class=footer__cols__col><div class=footer__cols__col__title>Resources</div><div class=footer__cols__col__link><a href=/blog/>Blog</a></div><div class=footer__cols__col__link><a href=https://github.com/apache/beam>GitHub</a></div></div></div><div class=footer__bottom>&copy;
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