<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: TPC -DS test On databricks in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/tpc-ds-test-on-databricks/m-p/53188#M29724</link>
    <description>&lt;P&gt;I am new here &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt; can you please explain one would run spark-sql-perf from a notebook?&lt;BR /&gt;meaning how to reset a new spark application with the jars set.&lt;/P&gt;</description>
    <pubDate>Mon, 20 Nov 2023 19:43:34 GMT</pubDate>
    <dc:creator>hillel1</dc:creator>
    <dc:date>2023-11-20T19:43:34Z</dc:date>
    <item>
      <title>TPC -DS test On databricks</title>
      <link>https://community.databricks.com/t5/data-engineering/tpc-ds-test-on-databricks/m-p/21896#M14961</link>
      <description>&lt;P&gt;If I want to run TPC-DS test on databricks  what are the steps involved, do we have already daya available on databricks file system or I have to download or create from somewhere.  &lt;/P&gt;</description>
      <pubDate>Tue, 22 Jun 2021 09:17:45 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/tpc-ds-test-on-databricks/m-p/21896#M14961</guid>
      <dc:creator>User16826994223</dc:creator>
      <dc:date>2021-06-22T09:17:45Z</dc:date>
    </item>
    <item>
      <title>Re: TPC -DS test On databricks</title>
      <link>https://community.databricks.com/t5/data-engineering/tpc-ds-test-on-databricks/m-p/21897#M14962</link>
      <description>&lt;P&gt;For TPC -DS, checkout &lt;A href="https://github.com/databricks/tpcds-kit" alt="https://github.com/databricks/tpcds-kit" target="_blank"&gt;https://github.com/databricks/tpcds-kit&lt;/A&gt; . &lt;A href="https://docs.databricks.com/data/databricks-datasets.html" alt="https://docs.databricks.com/data/databricks-datasets.html" target="_blank"&gt;Databricks includes a variety of datasets mounted to the Databricks File System (DBFS)&lt;/A&gt; and this  includes &lt;B&gt;TPC&lt;/B&gt;-&lt;B&gt;H &lt;/B&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 22 Jun 2021 22:58:15 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/tpc-ds-test-on-databricks/m-p/21897#M14962</guid>
      <dc:creator>sajith_appukutt</dc:creator>
      <dc:date>2021-06-22T22:58:15Z</dc:date>
    </item>
    <item>
      <title>Re: TPC -DS test On databricks</title>
      <link>https://community.databricks.com/t5/data-engineering/tpc-ds-test-on-databricks/m-p/21898#M14963</link>
      <description>&lt;P&gt;See the spark-sql-perf repo for details on how to run benchmark tests using TPC-DS - &lt;A href="https://github.com/databricks/spark-sql-perf" target="test_blank"&gt;https://github.com/databricks/spark-sql-perf&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 23 Jun 2021 03:54:52 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/tpc-ds-test-on-databricks/m-p/21898#M14963</guid>
      <dc:creator>aladda</dc:creator>
      <dc:date>2021-06-23T03:54:52Z</dc:date>
    </item>
    <item>
      <title>Re: TPC -DS test On databricks</title>
      <link>https://community.databricks.com/t5/data-engineering/tpc-ds-test-on-databricks/m-p/53188#M29724</link>
      <description>&lt;P&gt;I am new here &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt; can you please explain one would run spark-sql-perf from a notebook?&lt;BR /&gt;meaning how to reset a new spark application with the jars set.&lt;/P&gt;</description>
      <pubDate>Mon, 20 Nov 2023 19:43:34 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/tpc-ds-test-on-databricks/m-p/53188#M29724</guid>
      <dc:creator>hillel1</dc:creator>
      <dc:date>2023-11-20T19:43:34Z</dc:date>
    </item>
  </channel>
</rss>

