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    <title>topic E series vs F series VM's in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/e-series-vs-f-series-vm-s/m-p/126701#M47743</link>
    <description>&lt;P&gt;Hi all,&lt;BR /&gt;I need to run weekly maintenance on approximately 7,000 tables in my Databricks environment, involving &lt;STRONG&gt;OPTIMIZE&lt;/STRONG&gt;, &lt;STRONG&gt;VACUUM&lt;/STRONG&gt;, and &lt;STRONG&gt;ANALYZE TABLE&lt;/STRONG&gt; (for statistics calculation) on all tables.&lt;/P&gt;&lt;P&gt;My question is: between the &lt;STRONG&gt;Ev4&lt;/STRONG&gt;, &lt;STRONG&gt;Edv4&lt;/STRONG&gt;, and &lt;STRONG&gt;Fsv2&lt;/STRONG&gt; VM series, which would be best suited for the driver and worker nodes in a Databricks cluster handling this workload, especially considering time constraints?&lt;/P&gt;&lt;P&gt;I’m looking for recommendations on the VM series that would minimize task completion times while balancing cost and resource efficiency.&lt;/P&gt;</description>
    <pubDate>Mon, 28 Jul 2025 12:59:04 GMT</pubDate>
    <dc:creator>Sainath368</dc:creator>
    <dc:date>2025-07-28T12:59:04Z</dc:date>
    <item>
      <title>E series vs F series VM's</title>
      <link>https://community.databricks.com/t5/data-engineering/e-series-vs-f-series-vm-s/m-p/126701#M47743</link>
      <description>&lt;P&gt;Hi all,&lt;BR /&gt;I need to run weekly maintenance on approximately 7,000 tables in my Databricks environment, involving &lt;STRONG&gt;OPTIMIZE&lt;/STRONG&gt;, &lt;STRONG&gt;VACUUM&lt;/STRONG&gt;, and &lt;STRONG&gt;ANALYZE TABLE&lt;/STRONG&gt; (for statistics calculation) on all tables.&lt;/P&gt;&lt;P&gt;My question is: between the &lt;STRONG&gt;Ev4&lt;/STRONG&gt;, &lt;STRONG&gt;Edv4&lt;/STRONG&gt;, and &lt;STRONG&gt;Fsv2&lt;/STRONG&gt; VM series, which would be best suited for the driver and worker nodes in a Databricks cluster handling this workload, especially considering time constraints?&lt;/P&gt;&lt;P&gt;I’m looking for recommendations on the VM series that would minimize task completion times while balancing cost and resource efficiency.&lt;/P&gt;</description>
      <pubDate>Mon, 28 Jul 2025 12:59:04 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/e-series-vs-f-series-vm-s/m-p/126701#M47743</guid>
      <dc:creator>Sainath368</dc:creator>
      <dc:date>2025-07-28T12:59:04Z</dc:date>
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    <item>
      <title>Re: E series vs F series VM's</title>
      <link>https://community.databricks.com/t5/data-engineering/e-series-vs-f-series-vm-s/m-p/126749#M47761</link>
      <description>&lt;P class="p1"&gt;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/166046"&gt;@Sainath368&lt;/a&gt;&amp;nbsp;&amp;nbsp;OPTIMIZE and VACUUM are compute-intensive operations, so you can choose a compute-optimized instance like the F series for both drivers and workers, which has a higher CPU-to-memory&lt;SPAN&gt;&amp;nbsp;ratio&lt;/SPAN&gt;.&lt;/P&gt;
&lt;P class="p1"&gt;If its UC managed table, I recommend enabling Predictive optimization, which automatically runs VACUUM, OPTIMIZE and ANALYZE on a serverless compute.&lt;/P&gt;
&lt;P class="p1"&gt;Documentation: &lt;A href="https://docs.databricks.com/aws/en/optimizations/predictive-optimization" target="_blank"&gt;https://docs.databricks.com/aws/en/optimizations/predictive-optimization&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 28 Jul 2025 22:50:13 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/e-series-vs-f-series-vm-s/m-p/126749#M47761</guid>
      <dc:creator>mani_22</dc:creator>
      <dc:date>2025-07-28T22:50:13Z</dc:date>
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