You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/09/15 01:35:00 UTC
[jira] [Resolved] (SPARK-36733) Perf issue in SchemaPruning when a
struct has many fields
[ https://issues.apache.org/jira/browse/SPARK-36733?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-36733.
----------------------------------
Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 33981
[https://github.com/apache/spark/pull/33981]
> Perf issue in SchemaPruning when a struct has many fields
> ---------------------------------------------------------
>
> Key: SPARK-36733
> URL: https://issues.apache.org/jira/browse/SPARK-36733
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.1.2
> Reporter: Kohki Nishio
> Priority: Major
> Fix For: 3.3.0
>
>
> Seeing a significant performance degradation in query processing when a table contains a significantly large number of fields (>10K).
> Here's the stacktraces while processing a query
> {code:java}
> java.lang.Thread.State: RUNNABLE java.lang.Thread.State: RUNNABLE at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:285) at scala.collection.TraversableLike$$Lambda$296/874023329.apply(Unknown Source) at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36) at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33) at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198) at scala.collection.TraversableLike.map(TraversableLike.scala:285) at scala.collection.TraversableLike.map$(TraversableLike.scala:278) at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198) at org.apache.spark.sql.types.StructType.fieldNames(StructType.scala:108) at org.apache.spark.sql.catalyst.expressions.SchemaPruning$.$anonfun$sortLeftFieldsByRight$1(SchemaPruning.scala:70) at org.apache.spark.sql.catalyst.expressions.SchemaPruning$.$anonfun$sortLeftFieldsByRight$1$adapted(SchemaPruning.scala:70) at org.apache.spark.sql.catalyst.expressions.SchemaPruning$$$Lambda$3963/249742655.apply(Unknown Source) at scala.collection.TraversableLike.$anonfun$filterImpl$1(TraversableLike.scala:303) at scala.collection.TraversableLike$$Lambda$403/465534593.apply(Unknown Source) at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36) at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33) at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198) at scala.collection.TraversableLike.filterImpl(TraversableLike.scala:302) at scala.collection.TraversableLike.filterImpl$(TraversableLike.scala:296) at scala.collection.mutable.ArrayOps$ofRef.filterImpl(ArrayOps.scala:198) at scala.collection.TraversableLike.filter(TraversableLike.scala:394) at scala.collection.TraversableLike.filter$(TraversableLike.scala:394) at scala.collection.mutable.ArrayOps$ofRef.filter(ArrayOps.scala:198) at org.apache.spark.sql.catalyst.expressions.SchemaPruning$.sortLeftFieldsByRight(SchemaPruning.scala:70) at org.apache.spark.sql.catalyst.expressions.SchemaPruning$.$anonfun$sortLeftFieldsByRight$3(SchemaPruning.scala:75) at org.apache.spark.sql.catalyst.expressions.SchemaPruning$$$Lambda$3965/461314749.apply(Unknown Source) {code}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org