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</a><div class="searchBox_ZlJk"><button type="button" class="DocSearch DocSearch-Button" aria-label="Search"><span class="DocSearch-Button-Container"><svg width="20" height="20" class="DocSearch-Search-Icon" viewBox="0 0 20 20" aria-hidden="true"><path d="M14.386 14.386l4.0877 4.0877-4.0877-4.0877c-2.9418 2.9419-7.7115 2.9419-10.6533 0-2.9419-2.9418-2.9419-7.7115 0-10.6533 2.9418-2.9419 7.7115-2.9419 10.6533 0 2.9419 2.9418 2.9419 7.7115 0 10.6533z" stroke="currentColor" fill="none" fill-rule="evenodd" stroke-linecap="round" stroke-linejoin="round"></path></svg><span class="DocSearch-Button-Placeholder">Search</span></span><span class="DocSearch-Button-Keys"></span></button></div></div></div><div role="presentation" class="navbar-sidebar__backdrop"></div></nav><div id="__docusaurus_skipToContent_fallback" class="main-wrapper mainWrapper_z2l0 docsWrapper_BCFX"><button aria-label="Scroll back to top" class="clean-btn theme-back-to-top-button backToTopButton_sjWU" type="button"></button><div class="docPage__5DB"><main class="docMainContainer_gTbr docMainContainerEnhanced_Uz_u"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><span class="theme-doc-version-badge badge badge--secondary">Version: Next</span><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><h1>Spark (Legacy)</h1><div class="theme-admonition theme-admonition-note alert alert--secondary admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M6.3 5.69a.942.942 0 0 1-.28-.7c0-.28.09-.52.28-.7.19-.18.42-.28.7-.28.28 0 .52.09.7.28.18.19.28.42.28.7 0 .28-.09.52-.28.7a1 1 0 0 1-.7.3c-.28 0-.52-.11-.7-.3zM8 7.99c-.02-.25-.11-.48-.31-.69-.2-.19-.42-.3-.69-.31H6c-.27.02-.48.13-.69.31-.2.2-.3.44-.31.69h1v3c.02.27.11.5.31.69.2.2.42.31.69.31h1c.27 0 .48-.11.69-.31.2-.19.3-.42.31-.69H8V7.98v.01zM7 2.3c-3.14 0-5.7 2.54-5.7 5.68 0 3.14 2.56 5.7 5.7 5.7s5.7-2.55 5.7-5.7c0-3.15-2.56-5.69-5.7-5.69v.01zM7 .98c3.86 0 7 3.14 7 7s-3.14 7-7 7-7-3.12-7-7 3.14-7 7-7z"></path></svg></span>note</div><div class="admonitionContent_S0QG"><p>This is our legacy Spark Integration which is replaced by <a href="/docs/metadata-integration/java/acryl-spark-lineage">DataHub Cloud Spark Lineage</a></p></div></div><p>To integrate Spark with DataHub, we provide a lightweight Java agent that listens for Spark application and job events and pushes metadata out to DataHub in real-time. The agent listens to events such application start/end, and SQLExecution start/end to create pipelines (i.e. DataJob) and tasks (i.e. DataFlow) in Datahub along with lineage to datasets that are being read from and written to. Read on to learn how to configure this for different Spark scenarios.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="configuring-spark-agent">Configuring Spark agent<a href="#configuring-spark-agent" class="hash-link" aria-label="Direct link to Configuring Spark agent" title="Direct link to Configuring Spark agent"></a></h2><p>The Spark agent can be configured using a config file or while creating a Spark Session. If you are using Spark on Databricks, refer <a href="#configuration-instructions--databricks">Configuration Instructions for Databricks</a>.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="before-you-begin-versions-and-release-notes">Before you begin: Versions and Release Notes<a href="#before-you-begin-versions-and-release-notes" class="hash-link" aria-label="Direct link to Before you begin: Versions and Release Notes" title="Direct link to Before you begin: Versions and Release Notes"></a></h3><p>Versioning of the jar artifact will follow the semantic versioning of the main <a href="https://github.com/datahub-project/datahub" target="_blank" rel="noopener noreferrer">DataHub repo</a> and release notes will be available <a hr
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Always check <a href="https://search.maven.org/search?q=a:datahub-spark-lineage" target="_blank" rel="noopener noreferrer">the Maven central repository</a> for the latest released version.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="configuration-instructions-spark-submit">Configuration Instructions: spark-submit<a href="#configuration-instructions-spark-submit" class="hash-link" aria-label="Direct link to Configuration Instructions: spark-submit" title="Direct link to Configuration Instructions: spark-submit"></a></h3><p>When running jobs using spark-submit, the agent needs to be configured in the config file.</p><div class="language-text codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-text codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">#Configuring DataHub spark agent jar</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">spark.jars.packages io.acryl:datahub-spark-lineage:0.8.23</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">spark.extraListeners datahub.spark.DatahubSparkListener</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">spark.datahub.rest.server http://localhost:8080</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="configuration-instructions-amazon-emr">Configuration Instructions: Amazon EMR<a href="#configuration-instructions-amazon-emr" class="hash-link" aria-label="Direct link to Configuration Instructions: Amazon EMR" title="Direct link to Configuration Instructions: Amazon EMR"></a></h3><p>Set the following spark-defaults configuration properties as it stated <a href="https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-spark-configure.html" target="_blank" rel="noopener noreferrer">here</a></p><div class="language-text codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-text codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">spark.jars.packages io.acryl:datahub-spark-lineage:0.8.23</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">spark.extraListeners datahub.spark.DatahubSparkListener</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">spark.datahub.rest.server https://your_datahub_host/gms</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">#If you have authentication set up then you also need to specify the Datahub access token</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">spark.datahub.rest.token yourtoken</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A
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This library has also been tested to work with Spark versions(2.2.0 - 2.4.8) and Scala versions(2.10 - 2.12).
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For the Spark 3.x series, this has been tested to work with Spark 3.1.2 and 3.2.0 with Scala 2.12. Other combinations are not guaranteed to work currently.
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Support for other Spark versions is planned in the very near future.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="environments-tested-with">Environments tested with<a href="#environments-tested-with" class="hash-link" aria-label="Direct link to Environments tested with" title="Direct link to Environments tested with"></a></h3><p>This initial release has been tested with the following environments:</p><ul><li>spark-submit of Python/Java applications to local and remote servers</li><li>Jupyter notebooks with pyspark code</li><li>Standalone Java applications</li><li>Databricks Standalone Cluster</li></ul><p>Testing with Databricks Standard and High-concurrency Cluster is not done yet.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="spark-commands-supported">Spark commands supported<a href="#spark-commands-supported" class="hash-link" aria-label="Direct link to Spark commands supported" title="Direct link to Spark commands supported"></a></h3><p>Below is a list of Spark commands that are parsed currently:</p><ul><li>InsertIntoHadoopFsRelationCommand</li><li>SaveIntoDataSourceCommand (jdbc)</li><li>SaveIntoDataSourceCommand (Delta Lake)</li><li>CreateHiveTableAsSelectCommand</li><li>InsertIntoHiveTable</li></ul><p>Effectively, these support data sources/sinks corresponding to Hive, HDFS, JDBC, and Delta Lake.</p><p>DataFrame.persist command is supported for below LeafExecNodes:</p><ul><li>FileSourceScanExec</li><li>HiveTableScanExec</li><li>RowDataSourceScanExec</li><li>InMemoryTableScanExec</li></ul><h3 class="anchor anchorWithStickyNavbar_LWe7" id="spark-commands-not-yet-supported">Spark commands not yet supported<a href="#spark-commands-not-yet-supported" class="hash-link" aria-label="Direct link to Spark commands not yet supported" title="Direct link to Spark commands not yet supported"></a></h3><ul><li>View related commands</li><li>Cache commands and implications on lineage</li><li>RDD jobs</li></ul><h3 class="anchor anchorWithStickyNavbar_LWe7" id="important-notes-on-usage">Important notes on usage<a href="#important-notes-on-usage" class="hash-link" aria-label="Direct link to Important notes on usage" title="Direct link to Important notes on usage"></a></h3><ul><li>It is advisable to ensure appName is used appropriately to ensure you can trace lineage from a pipeline back to your source code.</li><li>If multiple apps with the same appName run concurrently, dataset-lineage will be captured correctly but the custom-properties e.g. app-id, SQLQueryId would be unreliable. We expect this to be quite rare.</li><li>If spark execution fails, then an empty pipeline would still get created, but it may not have any tasks.</li><li>For HDFS sources, the folder (name) is regarded as the dataset (name) to align with typical storage of parquet/csv formats.</li></ul><h3 class="anchor anchorWithStickyNavbar_LWe7" id="debugging">Debugging<a href="#debugging" class="hash-link" aria-label="Direct link to Debugging" title="Direct link to Debugging"></a></h3><ul><li>Following info logs are generated</li></ul><p>On Spark context startup</p><div class="language-text codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-text codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">YY/MM/DD HH:mm:ss INFO DatahubSparkListener: DatahubSparkListener initialised.</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">YY/MM/DD HH:mm:ss INFO SparkContext: Registered listener datahub.spark.DatahubSparkListener</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16
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