Delete/Update fails for tables with more than 1000 columns

[ayushtkn]

Apache Iceberg version

1.1.0 (latest release)

Query engine

Hive

Please describe the bug 🐞

In case the columns in the table are more than 1000, the update & delete operations on a V2 tables fails due to collision with the partition field id's which starts from 1000.

Caused by: java.lang.IllegalArgumentException: Multiple entries with same key: 1001=q581316 and 1001=_partition.month 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.mr.hive.IcebergAcidUtil.createFileReadSchemaWithVirtualColums(IcebergAcidUtil.java:89)
 at org.apache.iceberg.mr.mapreduce.IcebergInputFormat$IcebergRecordReader.readSchema(IcebergInputFormat.java:497)
 at org.apache.iceberg.mr.mapreduce.IcebergInputFormat$IcebergRecordReader.initialize(IcebergInputFormat.java:258)
 at org.apache.iceberg.mr.mapred.AbstractMapredIcebergRecordReader.<init>(AbstractMapredIcebergRecordReader.java:40)
 at org.apache.iceberg.mr.mapred.MapredIcebergInputFormat$MapredIcebergRecordReader.<init>(MapredIcebergInputFormat.java:89)
 at org.apache.iceberg.mr.mapred.MapredIcebergInputFormat.getRecordReader(MapredIcebergInputFormat.java:79)
 at org.apache.iceberg.mr.hive.HiveIcebergInputFormat.getRecordReader(HiveIcebergInputFormat.java:170)
 at org.apache.hadoop.hive.ql.io.RecordReaderWrapper.create(RecordReaderWrapper.java:72)
 at org.apache.hadoop.hive.ql.io.HiveInputFormat.getRecordReader(HiveInputFormat.java:461) ... 27 more ]]

[ayushtkn]

Can think of making this configurable or may be increase it to 10K atleast:

 // IDs for partition fields start at 1000
 private static final int PARTITION_DATA_ID_START = 1000;

[RussellSpitzer]

I think just bumping it to 10k is probably fine, no need to add a configuration

[aturoczy]

@ayushtkn This is settable from hive?

[gaborkaszab]

@TuroczyX The agreement here is that there is no need to make this configurable and hardcoding to 10k is enough. See PR: #6369

[aturoczy]

Thanks for the update!

[mcgray]

We can still reproduce the issue even on 1.2.0.

[lintingbin]

This problem also occurs when executing rewrite_position_delete_files, even if the target table has never been updated or deleted.

[ssandona]

Here a quick code to reproduce the error (pyspark - Iceberg 1.4.2):

from pyspark.sql.functions import col

ICEBERG_DB_NAME="mydb"
ICEBERG_TABLE_NAME_MOR="my_mor_table"

# Define the number of columns
num_columns = 1010

# Create column names
column_names = [f"col{i}" for i in range(1, num_columns + 1)]

# Create 5 rows
data = [tuple([1] + [1] * (num_columns-1)), tuple([1] + [2] * (num_columns-1)), tuple([1] + [3] * (num_columns-1)), tuple([1] + [4] * (num_columns-1)), tuple([1] + [5] * (num_columns-1))]

# Create a DataFrame with the specified row
df_with_row = spark.createDataFrame(data, column_names)

df_with_row.createOrReplaceTempView("table_input")

spark.sql(f"""
CREATE TABLE {ICEBERG_DB_NAME}.{ICEBERG_TABLE_NAME_MOR}
USING iceberg
PARTITIONED BY (col1)
TBLPROPERTIES (
    'format-version'='2',
    'write.delete.mode'='merge-on-read',
    'write.update.mode'='merge-on-read',
    'write.merge.mode'='merge-on-read',
    'write.distribution-mode'='hash',
    'write.delete.distribution-mode'='hash',
    'write.update.distribution-mode'='hash',
    'write.merge.distribution-mode'='hash'
)
AS SELECT * FROM table_input
"""
)


spark.sql(f"""
MERGE INTO {ICEBERG_DB_NAME}.{ICEBERG_TABLE_NAME_MOR} t
USING (SELECT * FROM table_input WHERE col2 = 1) s
    ON t.col2 = s.col2
WHEN MATCHED THEN UPDATE SET * 
WHEN NOT MATCHED THEN INSERT *
"""
)

spark.sql(f"""
MERGE INTO {ICEBERG_DB_NAME}.{ICEBERG_TABLE_NAME_MOR} t
USING (SELECT * FROM table_input WHERE col2 = 2) s
    ON t.col2 = s.col2
WHEN MATCHED THEN UPDATE SET * 
WHEN NOT MATCHED THEN INSERT *
"""
)

This fails:

CALL system.rewrite_position_delete_files(
table => '{ICEBERG_DB_NAME}.{ICEBERG_TABLE_NAME_MOR}', 
options => map('rewrite-all', 'true')
)
"""
)

Error:

An error was encountered:
Multiple entries with same key: 1000=partition.col1 and 1000=row.col1000
Traceback (most recent call last):
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/session.py", line 1631, in sql
    return DataFrame(self._jsparkSession.sql(sqlQuery, litArgs), self)
  File "/usr/lib/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__
    return_value = get_return_value(
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/errors/exceptions/captured.py", line 185, in deco
    raise converted from None
pyspark.errors.exceptions.captured.IllegalArgumentException: Multiple entries with same key: 1000=partition.col1 and 1000=row.col1000

Also this fails:

spark.sql(f"""
UPDATE {ICEBERG_DB_NAME}.{ICEBERG_TABLE_NAME_MOR}
SET col2 = 6
WHERE col2 =1
"""
)

Error:

An error was encountered:
Multiple entries with same key: 1000=_partition.col1 and 1000=col1000
Traceback (most recent call last):
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/session.py", line 1631, in sql
    return DataFrame(self._jsparkSession.sql(sqlQuery, litArgs), self)
  File "/usr/lib/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__
    return_value = get_return_value(
  File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/errors/exceptions/captured.py", line 185, in deco
    raise converted from None
pyspark.errors.exceptions.captured.IllegalArgumentException: Multiple entries with same key: 1000=_partition.col1 and 1000=col1000

[xiaoxuandev]

Getting a similar error for UPDATE in Iceberg 1.4.3 release, stack track below:

java.lang.AssertionError: 
Expecting code not to raise a throwable but caught
  "java.lang.IllegalArgumentException: Multiple entries with same key: 1000=_partition.col1 and 1000=col1000
	at org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap.conflictException(ImmutableMap.java:378)
	at org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap.checkNoConflict(ImmutableMap.java:372)
	at org.apache.iceberg.relocated.com.google.common.collect.RegularImmutableMap.checkNoConflictInKeyBucket(RegularImmutableMap.java:246)
	at org.apache.iceberg.relocated.com.google.common.collect.RegularImmutableMap.fromEntryArrayCheckingBucketOverflow(RegularImmutableMap.java:133)
	at org.apache.iceberg.relocated.com.google.common.collect.RegularImmutableMap.fromEntryArray(RegularImmutableMap.java:95)
	at org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap$Builder.build(ImmutableMap.java:572)
	at org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap$Builder.buildOrThrow(ImmutableMap.java:600)
	at org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap$Builder.build(ImmutableMap.java:587)
	at org.apache.iceberg.types.IndexByName.byId(IndexByName.java:81)
	at org.apache.iceberg.types.TypeUtil.indexNameById(TypeUtil.java:172)
	at org.apache.iceberg.Schema.lazyIdToName(Schema.java:183)
	at org.apache.iceberg.Schema.<init>(Schema.java:112)
	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:160)
	at org.apache.iceberg.spark.source.SparkScanBuilder.schemaWithMetadataColumns(SparkScanBuilder.java:379)
	at org.apache.iceberg.spark.source.SparkScanBuilder.buildMergeOnReadScan(SparkScanBuilder.java:629)
	at org.apache.iceberg.spark.source.SparkPositionDeltaOperation$1.build(SparkPositionDeltaOperation.java:74)
	at org.apache.spark.sql.execution.datasources.v2.PushDownUtils$.pruneColumns(PushDownUtils.scala:197)
	at org.apache.spark.sql.execution.datasources.v2.V2ScanRelationPushDown$$anonfun$pruneColumns$1.applyOrElse(V2ScanRelationPushDown.scala:357)
	at org.apache.spark.sql.execution.datasources.v2.V2ScanRelationPushDown$$anonfun$pruneColumns$1.applyOrElse(V2ScanRelationPushDown.scala:348)
	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:503)
	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:503)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:33)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:33)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:33)
	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$3(TreeNode.scala:508)
	at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren(TreeNode.scala:1288)
	at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren$(TreeNode.scala:1287)
	at org.apache.spark.sql.catalyst.plans.logical.Expand.mapChildren(basicLogicalOperators.scala:1697)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:508)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:33)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:33)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:33)
	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$3(TreeNode.scala:508)
	at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren(TreeNode.scala:1288)
	at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren$(TreeNode.scala:1287)
	at org.apache.spark.sql.catalyst.plans.logical.WriteDelta.mapChildren(v2Commands.scala:297)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:508)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:33)
	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:33)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:33)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:479)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:447)
	at org.apache.spark.sql.execution.datasources.v2.V2ScanRelationPushDown$.pruneColumns(V2ScanRelationPushDown.scala:348)
	at org.apache.spark.sql.execution.datasources.v2.V2ScanRelationPushDown$.$anonfun$apply$7(V2ScanRelationPushDown.scala:49)
	at org.apache.spark.sql.execution.datasources.v2.V2ScanRelationPushDown$.$anonfun$apply$8(V2ScanRelationPushDown.scala:52)
	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.execution.datasources.v2.V2ScanRelationPushDown$.apply(V2ScanRelationPushDown.scala:51)
	at org.apache.spark.sql.execution.datasources.v2.V2ScanRelationPushDown$.apply(V2ScanRelationPushDown.scala:38)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:239)
	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:236)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$6(RuleExecutor.scala:319)
	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:368)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$5(RuleExecutor.scala:319)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$5$adapted(RuleExecutor.scala:309)
	at scala.collection.immutable.List.foreach(List.scala:431)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:309)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:195)
	at org.apache.spark.sql.catalyst.optimizer.BaseOptimizer.super$execute(BaseOptimizer.scala:28)
	at org.apache.spark.sql.catalyst.optimizer.BaseOptimizer.$anonfun$execute$1(BaseOptimizer.scala:28)
	at org.apache.spark.sql.catalyst.optimizer.OptimizationContext$.withOptimizationContext(OptimizationContext.scala:80)
	at org.apache.spark.sql.catalyst.optimizer.BaseOptimizer.execute(BaseOptimizer.scala:28)
	at org.apache.spark.sql.catalyst.optimizer.BaseOptimizer.execute(BaseOptimizer.scala:23)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:191)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:182)
	at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:108)
	at org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:182)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$optimizedPlan$1(QueryExecution.scala:161)
	at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:219)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:256)
	at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:625)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:256)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
	at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:255)
	at org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:157)
	at org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:153)
	at org.apache.spark.sql.execution.QueryExecution.$anonfun$writePlans$4(QueryExecution.scala:340)
	at org.apache.spark.sql.catalyst.plans.QueryPlan$.append(QueryPlan.scala:716)
	at org.apache.spark.sql.execution.QueryExecution.writePlans(QueryExecution.scala:340)
	at org.apache.spark.sql.execution.QueryExecution.toString(QueryExecution.scala:357)
	at org.apache.spark.sql.execution.QueryExecution.org$apache$spark$sql$execution$QueryExecution$$explainString(QueryExecution.scala:311)
	at org.apache.spark.sql.execution.QueryExecution.explainString(QueryExecution.scala:289)
	at org.apache.spark.sql.execution.SQLExecution$.executeQuery$1(SQLExecution.scala:121)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$9(SQLExecution.scala:165)
	at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:108)
	at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:255)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$8(SQLExecution.scala:165)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:276)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:164)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:70)
	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:110)
	at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:101)
	at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:503)
	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:503)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:33)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
	at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:33)
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:33)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:479)
	at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:101)
	at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:88)
	at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:86)
	at org.apache.spark.sql.Dataset.<init>(Dataset.scala:222)
	at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:102)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
	at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:99)
	at org.apache.spark.sql.SparkSession.$anonfun$sql$4(SparkSession.scala:691)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:682)
	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:713)
	at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:744)
	at org.apache.iceberg.spark.SparkTestBase.sql(SparkTestBase.java:120)
	at org.apache.iceberg.spark.extensions.TestRewritePositionDeleteFilesProcedure.lambda$testRewriteForBigTables$4(TestRewritePositionDeleteFilesProcedure.java:300)
	at org.assertj.core.api.ThrowableAssert.catchThrowable(ThrowableAssert.java:63)
	at org.assertj.core.api.AssertionsForClassTypes.catchThrowable(AssertionsForClassTypes.java:892)
	at org.assertj.core.api.AssertionsForClassTypes.assertThatCode(AssertionsForClassTypes.java:863)
	at org.assertj.core.api.Assertions.assertThatCode(Assertions.java:1287)
	at org.apache.iceberg.spark.extensions.TestRewritePositionDeleteFilesProcedure.testRewriteForBigTables(TestRewritePositionDeleteFilesProcedure.java:300)
	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.base/java.lang.reflect.Method.invoke(Method.java:568)
	at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:59)
	at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
	at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:56)
	at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
	at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:27)
	at org.junit.rules.ExternalResource$1.evaluate(ExternalResource.java:54)
	at org.junit.runners.ParentRunner$3.evaluate(ParentRunner.java:306)
	at org.junit.runners.BlockJUnit4ClassRunner$1.evaluate(BlockJUnit4ClassRunner.java:100)
	at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:366)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:103)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:63)
	at org.junit.runners.ParentRunner$4.run(ParentRunner.java:331)
	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:79)
	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:329)
	at org.junit.runners.ParentRunner.access$100(ParentRunner.java:66)
	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:293)
	at org.junit.runners.ParentRunner.run(ParentRunner.java:413)
	at org.junit.runners.Suite.runChild(Suite.java:128)
	at org.junit.runners.Suite.runChild(Suite.java:27)
	at org.junit.runners.ParentRunner$4.run(ParentRunner.java:331)
	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:79)
	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:329)
	at org.junit.runners.ParentRunner.access$100(ParentRunner.java:66)
	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:293)
	at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:26)
	at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:27)
	at org.junit.runners.ParentRunner$3.evaluate(ParentRunner.java:306)
	at org.junit.runners.ParentRunner.run(ParentRunner.java:413)
	at org.gradle.api.internal.tasks.testing.junit.JUnitTestClassExecutor.runTestClass(JUnitTestClassExecutor.java:108)
	at org.gradle.api.internal.tasks.testing.junit.JUnitTestClassExecutor.execute(JUnitTestClassExecutor.java:58)
	at org.gradle.api.internal.tasks.testing.junit.JUnitTestClassExecutor.execute(JUnitTestClassExecutor.java:40)
	at org.gradle.api.internal.tasks.testing.junit.AbstractJUnitTestClassProcessor.processTestClass(AbstractJUnitTestClassProcessor.java:60)
	at org.gradle.api.internal.tasks.testing.SuiteTestClassProcessor.processTestClass(SuiteTestClassProcessor.java:52)
	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.base/java.lang.reflect.Method.invoke(Method.java:568)
	at org.gradle.internal.dispatch.ReflectionDispatch.dispatch(ReflectionDispatch.java:36)
	at org.gradle.internal.dispatch.ReflectionDispatch.dispatch(ReflectionDispatch.java:24)
	at org.gradle.internal.dispatch.ContextClassLoaderDispatch.dispatch(ContextClassLoaderDispatch.java:33)
	at org.gradle.internal.dispatch.ProxyDispatchAdapter$DispatchingInvocationHandler.invoke(ProxyDispatchAdapter.java:94)
	at jdk.proxy1/jdk.proxy1.$Proxy2.processTestClass(Unknown Source)
	at org.gradle.api.internal.tasks.testing.worker.TestWorker$2.run(TestWorker.java:176)
	at org.gradle.api.internal.tasks.testing.worker.TestWorker.executeAndMaintainThreadName(TestWorker.java:129)
	at org.gradle.api.internal.tasks.testing.worker.TestWorker.execute(TestWorker.java:100)
	at org.gradle.api.internal.tasks.testing.worker.TestWorker.execute(TestWorker.java:60)
	at org.gradle.process.internal.worker.child.ActionExecutionWorker.execute(ActionExecutionWorker.java:56)
	at org.gradle.process.internal.worker.child.SystemApplicationClassLoaderWorker.call(SystemApplicationClassLoaderWorker.java:113)
	at org.gradle.process.internal.worker.child.SystemApplicationClassLoaderWorker.call(SystemApplicationClassLoaderWorker.java:65)
	at worker.org.gradle.process.internal.worker.GradleWorkerMain.run(GradleWorkerMain.java:69)
	at worker.org.gradle.process.internal.worker.GradleWorkerMain.main(GradleWorkerMain.java:74)

[github-actions]

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.

[github-actions]

This issue has been closed because it has not received any activity in the last 14 days since being marked as 'stale'

[guptaakashdeep]

Do we have any workaround for this issue or any plans for getting it resolved?