[jira] [Assigned] (SPARK-28106) Spark SQL add jar with wrong hdfs path, SparkContext still add it to jar path ,and cause Task Failed
[
https://issues.apache.org/jira/browse/SPARK-28106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Saisai Shao reassigned SPARK-28106:
---
Assignee: angerszhu
> Spark SQL add jar with wrong hdfs path, SparkContext still add it to jar path
> ,and cause Task Failed
>
>
> Key: SPARK-28106
> URL: https://issues.apache.org/jira/browse/SPARK-28106
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.2.0, 2.3.0, 2.4.0
>Reporter: angerszhu
>Assignee: angerszhu
>Priority: Minor
> Attachments: image-2019-06-19-21-23-22-061.png,
> image-2019-06-20-11-49-13-691.png, image-2019-06-20-11-50-36-418.png,
> image-2019-06-20-11-51-06-889.png
>
>
> When we use SparkSQL, about add jar command, if we add a wrong path of HDFS
> such as "add jar hdfs:///home/hadoop/test/test.jar", when execute it:
> * In hive case , HiveClientImple call add jar, when runHiveSql() called, it
> will cause error but will still run next code , then call
> SparkContext.addJar, but this method don't have a path check when path schema
> is HDFS , then do other sql, TaskDescribtion will carry jarPath of
> SparkContext's registered JarPath. Then it will carry wrong path then cause
> error happen
> * None hive case, the same, will only check local path but not check hdfs
> path.
>
> {code:java}
> 19/06/19 19:55:12 INFO SessionState: converting to local
> hdfs://home/hadoop/aaa.jar
> Failed to read external resource hdfs://home/hadoop/aaa.jar
> 19/06/19 19:55:12 ERROR SessionState: Failed to read external resource
> hdfs://home/hadoop/aaa.jar
> java.lang.RuntimeException: Failed to read external resource
> hdfs://home/hadoop/aaa.jar
> at
> org.apache.hadoop.hive.ql.session.SessionState.downloadResource(SessionState.java:1288)
> atorg.apache.hadoop.hive.ql.session.SessionState.resolveAndDownload(SessionState.java:1242)
> at
> org.apache.hadoop.hive.ql.session.SessionState.add_resources(SessionState.java:1163)
> at
> org.apache.hadoop.hive.ql.session.SessionState.add_resources(SessionState.java:1149)
> at
> org.apache.hadoop.hive.ql.processors.AddResourceProcessor.run(AddResourceProcessor.java:67)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$runHive$1.apply(HiveClientImpl.scala:866)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$runHive$1.apply(HiveClientImpl.scala:835)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:275)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:213)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:212)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:258)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.runHive(HiveClientImpl.scala:835)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.runSqlHive(HiveClientImpl.scala:825)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.addJar(HiveClientImpl.scala:983)
> at
> org.apache.spark.sql.hive.HiveSessionResourceLoader.addJar(HiveSessionStateBuilder.scala:112)
> at
> org.apache.spark.sql.execution.command.AddJarCommand.run(resources.scala:40)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:195)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:195)
> at org.apache.spark.sql.Dataset$$anonfun$53.apply(Dataset.scala:3365)
> at
> org.apache.spark.sql.execution.SQLExecution$.withCustomJobTag(SQLExecution.scala:119)
> at
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:79)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:143)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3364)
> at org.apache.spark.sql.Dataset.(Dataset.scala:195)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:80)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:233)
> at
>
[jira] [Assigned] (SPARK-28106) Spark SQL add jar with wrong hdfs path, SparkContext still add it to jar path ,and cause Task Failed
[
https://issues.apache.org/jira/browse/SPARK-28106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-28106:
Assignee: Apache Spark
> Spark SQL add jar with wrong hdfs path, SparkContext still add it to jar path
> ,and cause Task Failed
>
>
> Key: SPARK-28106
> URL: https://issues.apache.org/jira/browse/SPARK-28106
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 2.2.0, 2.3.0, 2.4.0
>Reporter: angerszhu
>Assignee: Apache Spark
>Priority: Major
>
> When we use SparkSQL, about add jar command, if we add a wrong path of HDFS
> such as "add jar hdfs:///home/hadoop/test/test.jar", when execute it:
> * In hive case , HiveClientImple call add jar, when runHiveSql() called, it
> will cause error but will still run next code , then call
> SparkContext.addJar, but this method don't have a path check when path schema
> is HDFS , then do other sql, TaskDescribtion will carry jarPath of
> SparkContext's registered JarPath. Then it will carry wrong path then cause
> error happen
> * None hive case, the same, will only check local path but not check hdfs
> path.
>
> {code:java}
> 19/06/19 19:55:12 INFO SessionState: converting to local
> hdfs://home/hadoop/aaa.jar
> Failed to read external resource hdfs://home/hadoop/aaa.jar
> 19/06/19 19:55:12 ERROR SessionState: Failed to read external resource
> hdfs://home/hadoop/aaa.jar
> java.lang.RuntimeException: Failed to read external resource
> hdfs://home/hadoop/aaa.jar
> at
> org.apache.hadoop.hive.ql.session.SessionState.downloadResource(SessionState.java:1288)
> at
> org.apache.hadoop.hive.ql.session.SessionState.resolveAndDownload(SessionState.java:1242)
> at
> org.apache.hadoop.hive.ql.session.SessionState.add_resources(SessionState.java:1163)
> at
> org.apache.hadoop.hive.ql.session.SessionState.add_resources(SessionState.java:1149)
> at
> org.apache.hadoop.hive.ql.processors.AddResourceProcessor.run(AddResourceProcessor.java:67)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$runHive$1.apply(HiveClientImpl.scala:866)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$runHive$1.apply(HiveClientImpl.scala:835)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:275)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:213)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:212)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:258)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.runHive(HiveClientImpl.scala:835)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.runSqlHive(HiveClientImpl.scala:825)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.addJar(HiveClientImpl.scala:983)
> at
> org.apache.spark.sql.hive.HiveSessionResourceLoader.addJar(HiveSessionStateBuilder.scala:112)
> at
> org.apache.spark.sql.execution.command.AddJarCommand.run(resources.scala:40)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:195)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:195)
> at org.apache.spark.sql.Dataset$$anonfun$53.apply(Dataset.scala:3365)
> at
> org.apache.spark.sql.execution.SQLExecution$.withCustomJobTag(SQLExecution.scala:119)
> at
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:79)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:143)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3364)
> at org.apache.spark.sql.Dataset.(Dataset.scala:195)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:80)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:233)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:175)
> at
>
[jira] [Assigned] (SPARK-28106) Spark SQL add jar with wrong hdfs path, SparkContext still add it to jar path ,and cause Task Failed
[
https://issues.apache.org/jira/browse/SPARK-28106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-28106:
Assignee: (was: Apache Spark)
> Spark SQL add jar with wrong hdfs path, SparkContext still add it to jar path
> ,and cause Task Failed
>
>
> Key: SPARK-28106
> URL: https://issues.apache.org/jira/browse/SPARK-28106
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 2.2.0, 2.3.0, 2.4.0
>Reporter: angerszhu
>Priority: Major
>
> When we use SparkSQL, about add jar command, if we add a wrong path of HDFS
> such as "add jar hdfs:///home/hadoop/test/test.jar", when execute it:
> * In hive case , HiveClientImple call add jar, when runHiveSql() called, it
> will cause error but will still run next code , then call
> SparkContext.addJar, but this method don't have a path check when path schema
> is HDFS , then do other sql, TaskDescribtion will carry jarPath of
> SparkContext's registered JarPath. Then it will carry wrong path then cause
> error happen
> * None hive case, the same, will only check local path but not check hdfs
> path.
>
> {code:java}
> 19/06/19 19:55:12 INFO SessionState: converting to local
> hdfs://home/hadoop/aaa.jar
> Failed to read external resource hdfs://home/hadoop/aaa.jar
> 19/06/19 19:55:12 ERROR SessionState: Failed to read external resource
> hdfs://home/hadoop/aaa.jar
> java.lang.RuntimeException: Failed to read external resource
> hdfs://home/hadoop/aaa.jar
> at
> org.apache.hadoop.hive.ql.session.SessionState.downloadResource(SessionState.java:1288)
> at
> org.apache.hadoop.hive.ql.session.SessionState.resolveAndDownload(SessionState.java:1242)
> at
> org.apache.hadoop.hive.ql.session.SessionState.add_resources(SessionState.java:1163)
> at
> org.apache.hadoop.hive.ql.session.SessionState.add_resources(SessionState.java:1149)
> at
> org.apache.hadoop.hive.ql.processors.AddResourceProcessor.run(AddResourceProcessor.java:67)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$runHive$1.apply(HiveClientImpl.scala:866)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$runHive$1.apply(HiveClientImpl.scala:835)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:275)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:213)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:212)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:258)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.runHive(HiveClientImpl.scala:835)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.runSqlHive(HiveClientImpl.scala:825)
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.addJar(HiveClientImpl.scala:983)
> at
> org.apache.spark.sql.hive.HiveSessionResourceLoader.addJar(HiveSessionStateBuilder.scala:112)
> at
> org.apache.spark.sql.execution.command.AddJarCommand.run(resources.scala:40)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:195)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:195)
> at org.apache.spark.sql.Dataset$$anonfun$53.apply(Dataset.scala:3365)
> at
> org.apache.spark.sql.execution.SQLExecution$.withCustomJobTag(SQLExecution.scala:119)
> at
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:79)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:143)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3364)
> at org.apache.spark.sql.Dataset.(Dataset.scala:195)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:80)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:233)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:175)
> at
>
