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Posted to issues@iceberg.apache.org by "ShubhamSharmaCSE (via GitHub)" <gi...@apache.org> on 2023/03/27 20:53:48 UTC
[GitHub] [iceberg] ShubhamSharmaCSE opened a new issue, #7221: Multiple entries with same key
ShubhamSharmaCSE opened a new issue, #7221:
URL: https://github.com/apache/iceberg/issues/7221
Getting below error when running spark application for partitioned iceberg table. Partition is based on created date over days.
```
Exception in thread "main" java.lang.IllegalArgumentException: Multiple entries with same key: 1000=original_values.column1.column2.column3 and 1000=_partition.created_ts_day
at org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap.conflictException(ImmutableMap.java:376)
at org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap.checkNoConflict(ImmutableMap.java:370)
at org.apache.iceberg.relocated.com.google.common.collect.RegularImmutableMap.checkNoConflictInKeyBucket(RegularImmutableMap.java:153)
at org.apache.iceberg.relocated.com.google.common.collect.RegularImmutableMap.fromEntryArray(RegularImmutableMap.java:115)
at org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap$Builder.buildOrThrow(ImmutableMap.java:574)
at org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap$Builder.build(ImmutableMap.java:538)
at org.apache.iceberg.types.IndexByName.byId(IndexByName.java:80)
at org.apache.iceberg.types.TypeUtil.indexNameById(TypeUtil.java:161)
at org.apache.iceberg.Schema.lazyIdToName(Schema.java:167)
at org.apache.iceberg.Schema.<init>(Schema.java:108)
at org.apache.iceberg.Schema.<init>(Schema.java:91)
at org.apache.iceberg.Schema.<init>(Schema.java:83)
at org.apache.iceberg.Schema.<init>(Schema.java:79)
at org.apache.iceberg.types.TypeUtil.join(TypeUtil.java:149)
at org.apache.iceberg.spark.source.SparkScanBuilder.schemaWithMetadataColumns(SparkScanBuilder.java:159)
at org.apache.iceberg.spark.source.SparkScanBuilder.buildMergeOnReadScan(SparkScanBuilder.java:225)
at org.apache.iceberg.spark.source.SparkPositionDeltaOperation$1.build(SparkPositionDeltaOperation.java:70)
at org.apache.spark.sql.execution.datasources.v2.PushDownUtils$.pruneColumns(PushDownUtils.scala:176)
at org.apache.spark.sql.execution.datasources.v2.RowLevelCommandScanRelationPushDown$$anonfun$apply$1.applyOrElse(RowLevelCommandScanRelationPushDown.scala:52)
at org.apache.spark.sql.execution.datasources.v2.RowLevelCommandScanRelationPushDown$$anonfun$apply$1.applyOrElse(RowLevelCommandScanRelationPushDown.scala:40)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:615)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:177)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:615)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:591)
at org.apache.spark.sql.execution.datasources.v2.RowLevelCommandScanRelationPushDown$.apply(RowLevelCommandScanRelationPushDown.scala:40)
at org.apache.spark.sql.execution.datasources.v2.RowLevelCommandScanRelationPushDown$.apply(RowLevelCommandScanRelationPushDown.scala:37)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:215)
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.executeBatch$1(RuleExecutor.scala:212)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$6(RuleExecutor.scala:284)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.catalyst.rules.RuleExecutor$RuleExecutionContext$.withContext(RuleExecutor.scala:327)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$5(RuleExecutor.scala:284)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$5$adapted(RuleExecutor.scala:274)
at scala.collection.immutable.List.foreach(List.scala:431)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:274)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.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:107)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:179)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$optimizedPlan$1(QueryExecution.scala:134)
at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:192)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:213)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:552)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:213)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:212)
at org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:130)
at org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:126)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$writePlans$4(QueryExecution.scala:296)
at org.apache.spark.sql.catalyst.plans.QueryPlan$.append(QueryPlan.scala:657)
at org.apache.spark.sql.execution.QueryExecution.writePlans(QueryExecution.scala:296)
at org.apache.spark.sql.execution.QueryExecution.toString(QueryExecution.scala:313)
at org.apache.spark.sql.execution.QueryExecution.org$apache$spark$sql$execution$QueryExecution$$explainString(QueryExecution.scala:267)
at org.apache.spark.sql.execution.QueryExecution.explainString(QueryExecution.scala:246)
at org.apache.spark.sql.execution.SQLExecution$.executeQuery$1(SQLExecution.scala:107)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$7(SQLExecution.scala:139)
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107)
at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:224)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:139)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:245)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:138)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:68)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:100)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:96)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:615)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:177)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:615)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:591)
at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:96)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:83)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:81)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:222)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:102)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:99)
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)
```
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Re: [I] Multiple entries with same key [iceberg]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on issue #7221:
URL: https://github.com/apache/iceberg/issues/7221#issuecomment-1762413736
This issue has been closed because it has not received any activity in the last 14 days since being marked as 'stale'
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Re: [I] Multiple entries with same key [iceberg]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] closed issue #7221: Multiple entries with same key
URL: https://github.com/apache/iceberg/issues/7221
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[GitHub] [iceberg] gaborkaszab commented on issue #7221: Multiple entries with same key
Posted by "gaborkaszab (via GitHub)" <gi...@apache.org>.
gaborkaszab commented on issue #7221:
URL: https://github.com/apache/iceberg/issues/7221#issuecomment-1488170491
I believe this is a duplicate of https://github.com/apache/iceberg/issues/6368
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[GitHub] [iceberg] github-actions[bot] commented on issue #7221: Multiple entries with same key
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on issue #7221:
URL: https://github.com/apache/iceberg/issues/7221#issuecomment-1734632907
This issue has been automatically marked as stale because it has been open for 180 days with no activity. It will be closed in next 14 days if no further activity occurs. To permanently prevent this issue from being considered stale, add the label 'not-stale', but commenting on the issue is preferred when possible.
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