appleyuchi created SPARK-31629:
----------------------------------
Summary: "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: Java API
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
Fix For: 1.5.0, 1.4.1
I have search the forum,
[SPARK-8365|https://issues.apache.org/jira/browse/SPARK-8365]
mentioned the same issue in spark 1.4.0
[SPARK-8368|https://issues.apache.org/jira/browse/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:
spark-submit --master yarn --deploy-mode cluster test.py
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
*py4j.protocol.Py4JJavaError: An error occurred while calling o90.save.*
: java.sql.SQLSyntaxErrorException: Unknown database 'leaf'
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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