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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2020/05/10 06:30:00 UTC
[jira] [Resolved] (SPARK-31629) "py4j.protocol.Py4JJavaError: An
error occurred while calling o90.save" in pyspark 2.3.1
[ https://issues.apache.org/jira/browse/SPARK-31629?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-31629.
----------------------------------
Resolution: Invalid
> "py4j.protocol.Py4JJavaError: An error occurred while calling o90.save" in pyspark 2.3.1
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-31629
> URL: https://issues.apache.org/jira/browse/SPARK-31629
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.3.1
> Environment: Ubuntu19.10
>
> anaconda3-python3.6.10
>
> scala 2.11.8
>
> apache-hive-3.0.0-bin
>
> hadoop-2.7.7
>
> spark-2.3.1-bin-hadoop2.7
>
> java version "1.8.0_131"
>
> Mysql Server version: 8.0.19-0ubuntu0.19.10.3 (Ubuntu)
>
> driver:mysql-connector-java-8.0.20.jar
>
> [Driver link|[https://mvnrepository.com/artifact/mysql/mysql-connector-java/8.0.20]]
>
> Reporter: appleyuchi
> Priority: Major
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> I have search the forum,
> SPARK-8365
> mentioned the same issue in spark 1.4.0
> SPARK-8368
> fix it in spark 1.4.1 1.5.0
>
> However,in spark 2.3.1,this bug occur again
> Please help me ,thanks~!!!
> #----------------------------------------------------------------------
> test.py
> [https://paste.ubuntu.com/p/HJfbcQ2zq3/]
>
> running method is:
> ①spark-submit --master yarn --deploy-mode cluster test.py
> ②pyspark --master yarn( and then paste the code above)
> each method can replicate this error.
>
> then I got:
> Traceback (most recent call last):
> File "test.py", line 45, in <module>
> password="appleyuchi").mode('append').save()
> File "/home/appleyuchi/bigdata/hadoop_tmp/nm-local-dir/usercache/appleyuchi/appcache/application_1588504345289_0003/container_1588504345289_0003_01_000001/pyspark.zip/pyspark/sql/readwriter.py", line 703, in save
> File "/home/appleyuchi/bigdata/hadoop_tmp/nm-local-dir/usercache/appleyuchi/appcache/application_1588504345289_0003/container_1588504345289_0003_01_000001/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
> File "/home/appleyuchi/bigdata/hadoop_tmp/nm-local-dir/usercache/appleyuchi/appcache/application_1588504345289_0003/container_1588504345289_0003_01_000001/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
> File "/home/appleyuchi/bigdata/hadoop_tmp/nm-local-dir/usercache/appleyuchi/appcache/application_1588504345289_0003/container_1588504345289_0003_01_000001/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
> {color:#FF0000}*py4j.protocol.Py4JJavaError: An error occurred while calling o90.save.*{color}
> : java.sql.SQLSyntaxErrorException: Unknown database 'leaf'*{color:#FF0000}(I'm sure this database exists){color}*
> at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:120)
> at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:97)
> at com.mysql.cj.jdbc.exceptions.SQLExceptionsMapping.translateException(SQLExceptionsMapping.java:122)
> at com.mysql.cj.jdbc.ConnectionImpl.createNewIO(ConnectionImpl.java:836)
> at com.mysql.cj.jdbc.ConnectionImpl.<init>(ConnectionImpl.java:456)
> at com.mysql.cj.jdbc.ConnectionImpl.getInstance(ConnectionImpl.java:246)
> at com.mysql.cj.jdbc.NonRegisteringDriver.connect(NonRegisteringDriver.java:197)
> at org.apache.spark.sql.execution.datasources.jdbc.DriverWrapper.connect(DriverWrapper.scala:45)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:63)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:54)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:63)
> at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
> at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
> at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
> at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:654)
> at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:654)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
> at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:654)
> at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:273)
> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:267)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:282)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:238)
> at java.lang.Thread.run(Thread.java:748)
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