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    <title>topic Re: implementing liquid clustering for DataFrames directly in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/implementing-liquid-clustering-for-dataframes-directly/m-p/59353#M31373</link>
    <description>&lt;P&gt;Hi,&lt;BR /&gt;Hopefully this question is related to testing and any production data would get persisted to a table but one example is:&lt;BR /&gt;&lt;BR /&gt;df = (&lt;BR /&gt;spark.range(10)&lt;BR /&gt;.write&lt;BR /&gt;.format("delta")&lt;BR /&gt;.mode("append")&lt;BR /&gt;.save("file:/tmp/data")&lt;BR /&gt;)&lt;BR /&gt;&lt;BR /&gt;ALTER TABLE delta.`file:/tmp/data` CLUSTER BY (id);&lt;/P&gt;
&lt;DIV&gt;
&lt;DIV&gt;&lt;SPAN&gt;DESC&lt;/SPAN&gt;&lt;SPAN&gt; DETAIL delta.&lt;/SPAN&gt;&lt;SPAN&gt;`&lt;/SPAN&gt;&lt;SPAN&gt;file:/tmp/data&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;`&lt;BR /&gt;&lt;/SPAN&gt;&lt;/SPAN&gt;
&lt;DIV&gt;
&lt;DIV&gt;&lt;SPAN&gt;OPTIMIZE delta.&lt;/SPAN&gt;&lt;SPAN&gt;`&lt;/SPAN&gt;&lt;SPAN&gt;file:/tmp/data&lt;/SPAN&gt;&lt;SPAN&gt;`&lt;/SPAN&gt;&lt;SPAN&gt;;&lt;/SPAN&gt;&lt;/DIV&gt;
&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV&gt;&lt;SPAN&gt;Thanks.&lt;/SPAN&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;</description>
    <pubDate>Tue, 06 Feb 2024 04:10:30 GMT</pubDate>
    <dc:creator>brockb</dc:creator>
    <dc:date>2024-02-06T04:10:30Z</dc:date>
    <item>
      <title>implementing liquid clustering for DataFrames directly</title>
      <link>https://community.databricks.com/t5/data-engineering/implementing-liquid-clustering-for-dataframes-directly/m-p/55530#M30363</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;Hi !! I have a question is it possible to implementing liquid clustering for DataFrames directly saved to delta files (&lt;STRONG&gt;df&lt;/STRONG&gt;.write.&lt;STRONG&gt;format&lt;/STRONG&gt;("&lt;STRONG&gt;delta&lt;/STRONG&gt;").save("path")), The conventional approach involving table creation&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Tue, 19 Dec 2023 22:01:51 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/implementing-liquid-clustering-for-dataframes-directly/m-p/55530#M30363</guid>
      <dc:creator>luriveros</dc:creator>
      <dc:date>2023-12-19T22:01:51Z</dc:date>
    </item>
    <item>
      <title>Re: implementing liquid clustering for DataFrames directly</title>
      <link>https://community.databricks.com/t5/data-engineering/implementing-liquid-clustering-for-dataframes-directly/m-p/59353#M31373</link>
      <description>&lt;P&gt;Hi,&lt;BR /&gt;Hopefully this question is related to testing and any production data would get persisted to a table but one example is:&lt;BR /&gt;&lt;BR /&gt;df = (&lt;BR /&gt;spark.range(10)&lt;BR /&gt;.write&lt;BR /&gt;.format("delta")&lt;BR /&gt;.mode("append")&lt;BR /&gt;.save("file:/tmp/data")&lt;BR /&gt;)&lt;BR /&gt;&lt;BR /&gt;ALTER TABLE delta.`file:/tmp/data` CLUSTER BY (id);&lt;/P&gt;
&lt;DIV&gt;
&lt;DIV&gt;&lt;SPAN&gt;DESC&lt;/SPAN&gt;&lt;SPAN&gt; DETAIL delta.&lt;/SPAN&gt;&lt;SPAN&gt;`&lt;/SPAN&gt;&lt;SPAN&gt;file:/tmp/data&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;`&lt;BR /&gt;&lt;/SPAN&gt;&lt;/SPAN&gt;
&lt;DIV&gt;
&lt;DIV&gt;&lt;SPAN&gt;OPTIMIZE delta.&lt;/SPAN&gt;&lt;SPAN&gt;`&lt;/SPAN&gt;&lt;SPAN&gt;file:/tmp/data&lt;/SPAN&gt;&lt;SPAN&gt;`&lt;/SPAN&gt;&lt;SPAN&gt;;&lt;/SPAN&gt;&lt;/DIV&gt;
&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV&gt;&lt;SPAN&gt;Thanks.&lt;/SPAN&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;</description>
      <pubDate>Tue, 06 Feb 2024 04:10:30 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/implementing-liquid-clustering-for-dataframes-directly/m-p/59353#M31373</guid>
      <dc:creator>brockb</dc:creator>
      <dc:date>2024-02-06T04:10:30Z</dc:date>
    </item>
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