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https://issues.apache.org/jira/browse/SPARK-37069?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-37069:
------------------------------------
Assignee: Apache Spark
> HiveClientImpl throws NoSuchMethodError:
> org.apache.hadoop.hive.ql.metadata.Hive.getWithoutRegisterFns
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-37069
> URL: https://issues.apache.org/jira/browse/SPARK-37069
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Zhou Yifan
> Assignee: Apache Spark
> Priority: Major
>
> If we run Spark SQL with external Hive 2.3.x (before 2.3.9) jars, following
> error will be thrown:
> {code:java}
> Exception in thread "main" java.lang.NoSuchMethodError:
> org.apache.hadoop.hive.ql.metadata.Hive.getWithoutRegisterFns(Lorg/apache/hadoop/hive/conf/HiveConf;)Lorg/apache/hadoop/hive/ql/metadata/Hive;Exception
> in thread "main" java.lang.NoSuchMethodError:
> org.apache.hadoop.hive.ql.metadata.Hive.getWithoutRegisterFns(Lorg/apache/hadoop/hive/conf/HiveConf;)Lorg/apache/hadoop/hive/ql/metadata/Hive;
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$getHive$1(HiveClientImpl.scala:205)
> at scala.Option.map(Option.scala:230) at
> org.apache.spark.sql.hive.client.HiveClientImpl.getHive(HiveClientImpl.scala:204)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.client(HiveClientImpl.scala:267)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$withHiveState$1(HiveClientImpl.scala:292)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:234)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:233)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:283)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.databaseExists(HiveClientImpl.scala:394)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$databaseExists$1(HiveExternalCatalog.scala:224)
> at scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23) at
> org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:102)
> at
> org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:224)
> at
> org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:150)
> at
> org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:140)
> at
> org.apache.spark.sql.internal.SharedState.globalTempViewManager$lzycompute(SharedState.scala:170)
> at
> org.apache.spark.sql.internal.SharedState.globalTempViewManager(SharedState.scala:168)
> at
> org.apache.spark.sql.hive.HiveSessionStateBuilder.$anonfun$catalog$2(HiveSessionStateBuilder.scala:61)
> at
> org.apache.spark.sql.catalyst.catalog.SessionCatalog.globalTempViewManager$lzycompute(SessionCatalog.scala:119)
> at
> org.apache.spark.sql.catalyst.catalog.SessionCatalog.globalTempViewManager(SessionCatalog.scala:119)
> at
> org.apache.spark.sql.catalyst.catalog.SessionCatalog.listTables(SessionCatalog.scala:1004)
> at
> org.apache.spark.sql.catalyst.catalog.SessionCatalog.listTables(SessionCatalog.scala:990)
> at
> org.apache.spark.sql.catalyst.catalog.SessionCatalog.listTables(SessionCatalog.scala:982)
> at
> org.apache.spark.sql.execution.command.ShowTablesCommand.$anonfun$run$42(tables.scala:828)
> at scala.Option.getOrElse(Option.scala:189) at
> org.apache.spark.sql.execution.command.ShowTablesCommand.run(tables.scala:828)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)
> at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:110)
> at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
> at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
> at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:110)
> at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:106)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$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:457)
> at
> org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:106)
> at
> org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:93)
> at
> org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:91)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:219) at
> org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99) at
> org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at
> org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96) at
> org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618) at
> org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at
> org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613) at
> Main$.main(Main.scala:13) at Main.main(Main.scala)
> {code}
> Here is a demo to reproduce the error.
> pom.xml
> {code:java}
> <properties>
> <maven.compiler.source>8</maven.compiler.source>
> <maven.compiler.target>8</maven.compiler.target>
> </properties>
> <dependencies>
> <dependency>
> <groupId>org.apache.spark</groupId>
> <artifactId>spark-hive_2.12</artifactId>
> <version>3.2.0</version>
> </dependency>
> </dependencies>
> {code}
>
> Main.scala
>
> {code:java}
> import org.apache.spark.sql.SparkSession
> object Main {
> def main(args: Array[String]): Unit = {
> val spark = SparkSession.builder()
> .master("local[*]")
> .enableHiveSupport()
> .config("spark.sql.hive.metastore.version", "2.3.8")
> .config("spark.sql.hive.metastore.jars",
> "/bigdata/apache-hive-2.3.8-bin/lib/*")
> .getOrCreate()
> spark.sql("show tables")
> }
> }
> {code}
>
>
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