MERGE INTO doesn't allow temp view source #7766
Description
Apache Iceberg version
1.2.0
Query engine
Spark (3.3.2)
Please describe the bug 🐞
Hi devs,
While using a temp view as source in MERGE INTO command e.g.
MERGE INTO target USING {{temp_view_source}}
...The following error is thrown:
Exception in thread "main" java.lang.IllegalArgumentException: requirement failed
at scala.Predef$.require(Predef.scala:268)
at org.apache.spark.sql.catalyst.plans.logical.View.<init>(basicLogicalOperators.scala:570)
at org.apache.spark.sql.catalyst.plans.logical.View.copy(basicLogicalOperators.scala:569)
at org.apache.spark.sql.catalyst.plans.logical.View.withNewChildInternal(basicLogicalOperators.scala:605)
at org.apache.spark.sql.catalyst.plans.logical.View.withNewChildInternal(basicLogicalOperators.scala:566)
at org.apache.spark.sql.catalyst.trees.UnaryLike.withNewChildrenInternal(TreeNode.scala:1242)
at org.apache.spark.sql.catalyst.trees.UnaryLike.withNewChildrenInternal$(TreeNode.scala:1240)
at org.apache.spark.sql.catalyst.plans.logical.View.withNewChildrenInternal(basicLogicalOperators.scala:566)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$withNewChildren$2(TreeNode.scala:462)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176)
at org.apache.spark.sql.catalyst.trees.TreeNode.withNewChildren(TreeNode.scala:461)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$.org$apache$spark$sql$catalyst$analysis$Analyzer$AddMetadataColumns$$addMetadataCol(Analyzer.scala:980)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$.$anonfun$addMetadataCol$2(Analyzer.scala:980)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$.org$apache$spark$sql$catalyst$analysis$Analyzer$AddMetadataColumns$$addMetadataCol(Analyzer.scala:980)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$.org$apache$spark$sql$catalyst$analysis$Analyzer$AddMetadataColumns$$addMetadataCol(Analyzer.scala:977)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$.org$apache$spark$sql$catalyst$analysis$Analyzer$AddMetadataColumns$$addMetadataCol(Analyzer.scala:977)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$.$anonfun$addMetadataCol$2(Analyzer.scala:980)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$.org$apache$spark$sql$catalyst$analysis$Analyzer$AddMetadataColumns$$addMetadataCol(Analyzer.scala:980)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$.$anonfun$addMetadataCol$2(Analyzer.scala:980)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$.org$apache$spark$sql$catalyst$analysis$Analyzer$AddMetadataColumns$$addMetadataCol(Analyzer.scala:980)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$$anonfun$apply$12.applyOrElse(Analyzer.scala:937)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$$anonfun$apply$12.applyOrElse(Analyzer.scala:928)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$2(AnalysisHelper.scala:170)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$1(AnalysisHelper.scala:170)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:323)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning(AnalysisHelper.scala:168)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning$(AnalysisHelper.scala:164)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$4(AnalysisHelper.scala:175)
at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren(TreeNode.scala:1228)
at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren$(TreeNode.scala:1227)
at org.apache.spark.sql.catalyst.plans.logical.ReplaceIcebergData.mapChildren(ReplaceIcebergData.scala:32)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$1(AnalysisHelper.scala:175)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:323)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning(AnalysisHelper.scala:168)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning$(AnalysisHelper.scala:164)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$4(AnalysisHelper.scala:175)
at scala.collection.immutable.List.map(List.scala:297)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:698)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$1(AnalysisHelper.scala:175)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:323)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning(AnalysisHelper.scala:168)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning$(AnalysisHelper.scala:164)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$.apply(Analyzer.scala:928)
at org.apache.spark.sql.catalyst.analysis.Analyzer$AddMetadataColumns$.apply(Analyzer.scala:924)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:211)
at scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126)
at scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122)
at scala.collection.immutable.List.foldLeft(List.scala:91)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:208)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:200)
at scala.collection.immutable.List.foreach(List.scala:431)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:200)
at org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:231)
at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$execute$1(Analyzer.scala:227)
at org.apache.spark.sql.catalyst.analysis.AnalysisContext$.withNewAnalysisContext(Analyzer.scala:173)
at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:227)
at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:188)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:179)
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:88)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:179)
at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:212)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:330)
at org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:211)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:76)
at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:185)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:510)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:185)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:184)
at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:76)
at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:74)
at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:66)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:622)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:617)
at github.jhchee.ScdExample1.main(ScdExample1.java:73)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:958)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1046)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1055)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Notably in the temp view source, it has union operation.
Source code: https://github.com/jhchee/iceberg-bug/blob/main/src/main/java/github/jhchee/ScdExample1.java
Similar code are written in Delta lake but no exception is thrown.