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class="blogPostAuthorsList_dlEG" itemprop="name">leesf</span></a></div></div></div></div><div class="blogPostData_A2Le">3 min read</div></div></div><ul class="authorTimeTags_oN88 padding--none margin-left--sm tagsWrapperPostPage_VdId"><li class="tag_MgfY tagPostPage_gnvv"><a class="tag_WK-t tagRegular_LXbV" href="/blog/tags/how-to">how-to</a></li><li class="tag_MgfY tagPostPage_gnvv"><a class="tag_WK-t tagRegular_LXbV" href="/blog/tags/apache-zeppelin">apache zeppelin</a></li><li class="tag_MgfY tagPostPage_gnvv"><a class="tag_WK-t tagRegular_LXbV" href="/blog/tags/apache-hudi">apache hudi</a></li></ul></header><div class="markdown" itemprop="articleBody"><h2 class="anchor anchorWithStickyNavbar_y2LR" id="1-introduction">1. Introduction<a class="hash-link" href="#1-introduction" title="Direct link to heading"></a></h2><p>Apache Zeppelin is a web-based notebook that provides interactive data analysis. It is convenient for you to make beautiful documents that can be data-driven, interactive, and collaborative, and supports multiple languages, including Scala (using Apache Spark), Python (Apache Spark), SparkSQL, Hive, Markdown, Shell, and so on. Hive and SparkSQL currently support querying Hudi’s read-optimized view and real-time view. So in theory, Zeppelin’s notebook should also have such query capabilities.</p><h2 class="anchor anchorWithStickyNavbar_y2LR" id="2-achieve-the-effect">2. Achieve the effect<a class="hash-link" href="#2-achieve-the-effect" title="Direct link to heading"></a></h2><h3 class="anchor anchorWithStickyNavbar_y2LR" id="21-hive">2.1 Hive<a class="hash-link" href="#21-hive" title="Direct link to heading"></a></h3><h3 class="anchor anchorWithStickyNavbar_y2LR" id="211-read-optimized-view">2.1.1 Read optimized view<a class="hash-link" href="#211-read-optimized-view" title="Direct link to heading"></a></h3><p><img alt="Read Optimized View" src="/assets/images/read_optimized_view-f86557dfea584b97e869ec2d1aa9a46e.png"></p><h3 class="anchor anchorWithStickyNavbar_y2LR" id="212-real-time-view">2.1.2 Real-time view<a class="hash-link" href="#212-real-time-view" title="Direct link to heading"></a></h3><p><img alt="Real-time View" src="/assets/images/real_time_view-101973743bcb2dccb6e7cd4aa411aa73.png"></p><h3 class="anchor anchorWithStickyNavbar_y2LR" id="22-spark-sql">2.2 Spark SQL<a class="hash-link" href="#22-spark-sql" title="Direct link to heading"></a></h3><h3 class="anchor anchorWithStickyNavbar_y2LR" id="221-read-optimized-view">2.2.1 Read optimized view<a class="hash-link" href="#221-read-optimized-view" title="Direct link to heading"></a></h3><p><img alt="Read Optimized View" src="/assets/images/spark_read_optimized_view-3aeb662ab165a9702e1d73ee495107ec.png"></p><h3 class="anchor anchorWithStickyNavbar_y2LR" id="222-real-time-view">2.2.2 Real-time view<a class="hash-link" href="#222-real-time-view" title="Direct link to heading"></a></h3><p><img alt="Real-time View" src="/assets/images/spark_real_time_view-1b76ee7a1e9e884439da562f46d95f57.png"></p><h2 class="anchor anchorWithStickyNavbar_y2LR" id="3-common-problems">3. Common problems<a class="hash-link" href="#3-common-problems" title="Direct link to heading"></a></h2><h3 class="anchor anchorWithStickyNavbar_y2LR" id="31-hudi-package-adaptation">3.1 Hudi package adaptation<a class="hash-link" href="#31-hudi-package-adaptation" title="Direct link to heading"></a></h3><p>Zeppelin will load the packages under lib by default when starting. For external dependencies such as Hudi, it is suitable to be placed directly under zeppelin / lib to avoid Hive or Spark SQL not finding the corresponding Hudi dependency on the cluster.</p><h3 class="anchor anchorWithStickyNavbar_y2LR" id="32-parquet-jar-package-adaptation">3.2 Parquet jar package adaptation<a class="hash-link" href="#32-parquet-jar-package-adaptation" title="Direct link to heading"></a></h3><p>The parquet version of the Hudi package is 1.10, and the current parquet version of the CDH cluster is 1.9, so when executing the Hudi table query, many jar package conflict errors will be reported.</p><p><strong>Solution</strong>: upgrade the parquet package to 1.10 in the spark / jars directory of the node where zepeelin is located. |
| <strong>Side effects</strong>: The tasks of saprk jobs other than zeppelin assigned to the cluster nodes of parquet 1.10 may fail. |
| <strong>Suggestions</strong>: Clients other than zeppelin will also have jar conflicts. Therefore, it is recommended to fully upgrade the spark jar, parquet jar and related dependent jars of the cluster to better adapt to Hudi’s capabilities.</p><h3 class="anchor anchorWithStickyNavbar_y2LR" id="33-spark-interpreter-adaptation">3.3 Spark Interpreter adaptation<a class="hash-link" href="#33-spark-interpreter-adaptation" title="Direct link to heading"></a></h3><p>The same SQL using Spark SQL query on Zeppelin will have more records than the hive query.</p><p><strong>Cause of the problem</strong>: When reading and writing Parquet tables to the Hive metastore, Spark SQL will use the Parquet SerDe (SerDe: Serialize / Deserilize for short) for Spark serialization and deserialization, not the Hive’s SerDe, because Spark SQL’s own SerDe has better performance.</p><p>This causes Spark SQL to only query Hudi’s pipeline records, not the final merge result.</p><p><strong>Solution</strong>: set <code>spark.sql.hive.convertMetastoreParquet=false</code></p><ol><li><strong>Method 1</strong>: Edit properties directly on the page** |
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"></li><li><strong>Method 2</strong>: Edit <code>zeppelin / conf / interpreter.json</code> and add**</li></ol><div class="codeBlockContainer_J+bg language-json theme-code-block"><div class="codeBlockContent_csEI json"><pre tabindex="0" class="prism-code language-json codeBlock_rtdJ thin-scrollbar" style="color:#F8F8F2;background-color:#282A36"><code class="codeBlockLines_1zSZ"><span class="token-line" style="color:#F8F8F2"><span class="token property">"spark.sql.hive.convertMetastoreParquet"</span><span class="token operator">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(248, 248, 242)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#F8F8F2"><span class="token plain"> </span><span class="token property">"name"</span><span class="token operator">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(255, 121, 198)">"spark.sql.hive.convertMetastoreParquet"</span><span class="token punctuation" style="color:rgb(248, 248, 242)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#F8F8F2"><span class="token plain"> </span><span class="token property">"value"</span><span class="token operator">:</span><span class="token plain"> </span><span class="token boolean">false</span><span class="token punctuation" style="color:rgb(248, 248, 242)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#F8F8F2"><span class="token plain"> </span><span class="token property">"type"</span><span class="token operator">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(255, 121, 198)">"checkbox"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#F8F8F2"><span class="token plain"></span><span class="token punctuation" style="color:rgb(248, 248, 242)">}</span><br></span></code></pre><button type="button" aria-label="Copy code to clipboard" class="copyButton_M3SB clean-btn">Copy</button></div></div><h2 class="anchor anchorWithStickyNavbar_y2LR" id="4-hudi-incremental-view">4. Hudi incremental view<a class="hash-link" href="#4-hudi-incremental-view" title="Direct link to heading"></a></h2><p>For Hudi incremental view, currently only supports pulling by writing Spark code. Considering that Zeppelin has the ability to execute code and shell commands directly on the notebook, later consider packaging these notebooks to query Hudi incremental views in a way that supports SQL.</p></div><footer0 class="row docusaurus-mt-lg blogPostDetailsFull_2lop"><div class="col margin-top--sm"><a href="https://github.com/apache/hudi/edit/asf-site/website/blog/blog/2020-04-27-apache-hudi-apache-zepplin.md" target="_blank" rel="noreferrer noopener" class="theme-edit-this-page"><svg fill="currentColor" height="20" width="20" viewBox="0 0 40 40" class="iconEdit_mS5F" aria-hidden="true"><g><path d="m34.5 11.7l-3 3.1-6.3-6.3 3.1-3q0.5-0.5 1.2-0.5t1.1 0.5l3.9 3.9q0.5 0.4 0.5 1.1t-0.5 1.2z m-29.5 17.1l18.4-18.5 6.3 6.3-18.4 18.4h-6.3v-6.2z"></path></g></svg>Edit this page</a></div></footer0></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Blog post page navigation"><div class="pagination-nav__item"><a class="pagination-nav__link" href="/blog/2020/05/28/monitoring-hudi-metrics-with-datadog"><div class="pagination-nav__sublabel">Newer Post</div><div class="pagination-nav__label">« <!-- -->Monitor Hudi metrics with Datadog</div></a></div><div class="pagination-nav__item pagination-nav__item--next"><a class="pagination-nav__link" href="/blog/2020/03/22/exporting-hudi-datasets"><div class="pagination-nav__sublabel">Older Post</div><div class="pagination-nav__label">Export Hudi datasets as a copy or as different formats<!-- --> »</div></a></div></nav></main><div class="col col--2"><div class="tableOfContents_vrFS thin-scrollbar"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#1-introduction" class="table-of-contents__link toc-highlight">1. Introduction</a></li><li><a href="#2-achieve-the-effect" class="table-of-contents__link toc-highlight">2. Achieve the effect</a><ul><li><a href="#21-hive" class="table-of-contents__link toc-highlight">2.1 Hive</a></li><li><a href="#211-read-optimized-view" class="table-of-contents__link toc-highlight">2.1.1 Read optimized view</a></li><li><a href="#212-real-time-view" class="table-of-contents__link toc-highlight">2.1.2 Real-time view</a></li><li><a href="#22-spark-sql" class="table-of-contents__link toc-highlight">2.2 Spark SQL</a></li><li><a href="#221-read-optimized-view" class="table-of-contents__link toc-highlight">2.2.1 Read optimized view</a></li><li><a href="#222-real-time-view" class="table-of-contents__link toc-highlight">2.2.2 Real-time view</a></li></ul></li><li><a href="#3-common-problems" class="table-of-contents__link toc-highlight">3. Common problems</a><ul><li><a href="#31-hudi-package-adaptation" class="table-of-contents__link toc-highlight">3.1 Hudi package adaptation</a></li><li><a href="#32-parquet-jar-package-adaptation" class="table-of-contents__link toc-highlight">3.2 Parquet jar package adaptation</a></li><li><a href="#33-spark-interpreter-adaptation" class="table-of-contents__link toc-highlight">3.3 Spark Interpreter adaptation</a></li></ul></li><li><a href="#4-hudi-incremental-view" class="table-of-contents__link toc-highlight">4. Hudi incremental view</a></li></ul></div></div></div></div></div><footer class="footer"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">About</div><ul class="footer__items"><li class="footer__item"><a class="footer__link-item" href="/blog/2021/07/21/streaming-data-lake-platform">Our Vision</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/concepts">Concepts</a></li><li class="footer__item"><a class="footer__link-item" href="/community/team">Team</a></li><li class="footer__item"><a class="footer__link-item" href="/releases/release-0.14.1">Releases</a></li><li class="footer__item"><a class="footer__link-item" href="/releases/download">Download</a></li><li class="footer__item"><a class="footer__link-item" href="/powered-by">Who's Using</a></li></ul></div><div class="col footer__col"><div class="footer__title">Learn</div><ul class="footer__items"><li class="footer__item"><a 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