topic is storage partitioned join optimized for data skewness? in Get Started Discussions https://community.databricks.com/t5/get-started-discussions/is-storage-partitioned-join-optimized-for-data-skewness/m-p/35828#M203 Wed, 28 Jun 2023 20:27:21 GMT ck_45 2023-06-28T20:27:21Z is storage partitioned join optimized for data skewness? https://community.databricks.com/t5/get-started-discussions/is-storage-partitioned-join-optimized-for-data-skewness/m-p/35828#M203 Wed, 28 Jun 2023 20:27:21 GMT https://community.databricks.com/t5/get-started-discussions/is-storage-partitioned-join-optimized-for-data-skewness/m-p/35828#M203 ck_45 2023-06-28T20:27:21Z Re: is storage partitioned join optimized for data skewness? https://community.databricks.com/t5/get-started-discussions/is-storage-partitioned-join-optimized-for-data-skewness/m-p/70638#M3033 <P>As per the very short review session of the available source code and the <A href="https://docs.google.com/document/d/1foTkDSM91VxKgkEcBMsuAvEjNybjja-uHk-r3vtXWFE/edit#heading=h.82w8qxfl2uwl" target="_self">SPIP</A> itself, I think the answer is YES.</P><P>It is especially clear for&nbsp;<A href="https://github.com/apache/spark/blob/468aa842c6435b3c3ff49df30e8958d08ec2edb0/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala#L1574-L1585" target="_self">spark.sql.sources.v2.bucketing.partiallyClusteredDistribution.enabled</A> that says:</P><P><EM>This is an optimization on skew join and can help to reduce data skewness when certain partitions are assigned large amount of data.</EM></P> Sun, 26 May 2024 12:05:56 GMT https://community.databricks.com/t5/get-started-discussions/is-storage-partitioned-join-optimized-for-data-skewness/m-p/70638#M3033 JacekLaskowski 2024-05-26T12:05:56Z Re: is storage partitioned join optimized for data skewness? https://community.databricks.com/t5/get-started-discussions/is-storage-partitioned-join-optimized-for-data-skewness/m-p/70710#M3040 <P>Yes, storage-partitioned joins can be optimized for data skewness. Techniques like adaptive query processing and dynamic repartitioning help distribute the workload evenly across nodes. <A href="https://clippingpathphotoediting.com/services/" target="_blank" rel="noopener">clipping path service provider</A> By identifying and addressing data hotspots, these methods enhance performance and efficiency, ensuring that no single node becomes a bottleneck, thus effectively managing data skew in distributed databases.</P> Mon, 27 May 2024 11:41:35 GMT https://community.databricks.com/t5/get-started-discussions/is-storage-partitioned-join-optimized-for-data-skewness/m-p/70710#M3040 anand22 2024-05-27T11:41:35Z