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  1. Spark
  2. SPARK-18137

RewriteDistinctAggregates UnresolvedException when a UDAF has a foldable TypeCheck

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Details

    • Bug
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 2.1.0
    • 2.0.3, 2.1.0
    • SQL
    • None

    Description

      when run a sql with distinct(on spark github master branch), it throw UnresolvedException.

      For example:
      run a test case on spark(branch master) with sql:

      SELECT percentile_approx(key, 0.99999), count(distinct key),sum(distinct key) FROM src LIMIT 1

      and it throw exception:

      org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to dataType on unresolved object, tree: 'percentile_approx(CAST(src.`key` AS DOUBLE), CAST(0.99999BD AS DOUBLE), 10000)
	at org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute.dataType(unresolved.scala:92)
	at org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates$.org$apache$spark$sql$catalyst$optimizer$RewriteDistinctAggregates$$nullify(RewriteDistinctAggregates.scala:261)
	at org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates$.org$apache$spark$sql$catalyst$optimizer$RewriteDistinctAggregates$$evalWithinGroup$1(RewriteDistinctAggregates.scala:136)
	at org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates$$anonfun$16.apply(RewriteDistinctAggregates.scala:187)
	at org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates$$anonfun$16.apply(RewriteDistinctAggregates.scala:180)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.immutable.List.foreach(List.scala:381)
	at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
	at scala.collection.immutable.List.map(List.scala:285)
	at org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates$.rewrite(RewriteDistinctAggregates.scala:180)
	at org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates$$anonfun$apply$1.applyOrElse(RewriteDistinctAggregates.scala:105)
	at org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates$$anonfun$apply$1.applyOrElse(RewriteDistinctAggregates.scala:104)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:301)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:301)
	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:300)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:321)
	at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:319)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:321)
	at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:319)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:321)
	at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:319)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:321)
	at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:319)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:298)
	at org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates$.apply(RewriteDistinctAggregates.scala:104)
	at org.apache.spark.sql.catalyst.optimizer.RewriteDistinctAggregates$.apply(RewriteDistinctAggregates.scala:102)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)
	at scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:57)
	at scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:66)
	at scala.collection.mutable.WrappedArray.foldLeft(WrappedArray.scala:35)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)
	at scala.collection.immutable.List.foreach(List.scala:381)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)
	at org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:74)
	at org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:74)
	at org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:78)
	at org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:76)
	at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:83)
	at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:83)
	at org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2572)
	at org.apache.spark.sql.Dataset.head(Dataset.scala:1934)
	at org.apache.spark.sql.Dataset.take(Dataset.scala:2149)
	at com.databricks.backend.daemon.driver.OutputAggregator$.withOutputAggregation0(OutputAggregator.scala:76)
	at com.databricks.backend.daemon.driver.OutputAggregator$.withOutputAggregation(OutputAggregator.scala:42)
	at com.databricks.backend.daemon.driver.SQLDriverLocal.executeSql(SQLDriverLocal.scala:100)
	at com.databricks.backend.daemon.driver.SQLDriverLocal.repl(SQLDriverLocal.scala:128)
	at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$1.apply(DriverLocal.scala:202)
	at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$1.apply(DriverLocal.scala:191)
	at com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:145)
	at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
	at com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:140)
	at com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:34)
	at com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:178)
	at com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:34)
	at com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:191)
	at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:584)
	at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:584)
	at scala.util.Try$.apply(Try.scala:192)
	at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:579)
	at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:491)
	at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:394)
	at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:351)
	at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:217)
	at java.lang.Thread.run(Thread.java:745)

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        Issue Links

          is duplicated by

          Bug - A problem which impairs or prevents the functions of the product. SPARK-14171 UDAF aggregates argument object inspector not parsed correctly

          • Critical - Crashes, loss of data, severe memory leak.
          • Resolved
          links to

          Pull request #15668 [Github] Pull Request #15668 (windpiger)

          Activity

            People

              windpiger Song Jun
              windpiger Song Jun
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              Dates

                Created:
                Updated:
                Resolved: