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https://issues.apache.org/jira/browse/SPARK-37245?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17440919#comment-17440919
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Hyukjin Kwon commented on SPARK-37245:
--------------------------------------
Assuming from the stacktrace, it seems like the plugin's issue. I am
tentatively resolving this.
> SAP HANA : Truncate doesn't truncate the table but rather drops the table
> -------------------------------------------------------------------------
>
> Key: SPARK-37245
> URL: https://issues.apache.org/jira/browse/SPARK-37245
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.1.0
> Reporter: Balaji Balasubramaniam
> Priority: Major
>
> Hello,
> I currently use AWS Glue 3.0 version. Python version is 3 and the Spark
> version is 3.1 and I'm using the latest SAP HANA JDBC driver (ngdbc.jar). I
> can able to use this jar to read the data from SAP HANA but when I'm trying
> to write the data to SAP HANA, I notice that it is trying to drop the table,
> rather than truncating the table. Upon talking to AWS support, they mentioned
> that HANA JDBC dialect is not support, thus it is not honoring the truncate
> option, is this true?
> This is the option that I use:
> df_lake.write.format("jdbc").option("url", edw_jdbc_url).option("driver",
> "com.sap.db.jdbc.Driver").option("dbtable", edw_jdbc_db_table).option("user",
> edw_jdbc_userid).option("password", edw_jdbc_password).option("truncate",
> "true").mode("append").save()
> This is the stack trace:
> Stacktrace : Traceback (most recent call last):
> File "/tmp/ejgallo-lake-sds-wsmis-account-segmentation-datalake-to-edw",
> line 123, in <module>
> df_lake.write.jdbc(url=edw_jdbc_url, table=edw_jdbc_db_table,
> mode='overwrite', properties=properties)
> File "/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py",
> line 982, in jdbc
> self.mode(mode)._jwrite.jdbc(url, table, jprop)
> File
> "/opt/amazon/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line
> 1257, in __call__
> answer, self.gateway_client, self.target_id, self.name)
> File "/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line
> 63, in deco
> return f(*a, **kw)
> File "/opt/amazon/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> format(target_id, ".", name), value)
> py4j.protocol.Py4JJavaError: An error occurred while calling o165.jdbc.
> : com.sap.db.jdbc.exceptions.JDBCDriverException: SAP DBTech JDBC: [258]:
> insufficient privilege: Detailed info for this error can be found with guid
> '09F34ABDA6F80D4DA539791F19F918A9'
> at
> com.sap.db.jdbc.exceptions.SQLExceptionSapDB._newInstance(SQLExceptionSapDB.java:191)
> at
> com.sap.db.jdbc.exceptions.SQLExceptionSapDB.newInstance(SQLExceptionSapDB.java:42)
> at
> com.sap.db.jdbc.packet.HReplyPacket._buildExceptionChain(HReplyPacket.java:976)
> at
> com.sap.db.jdbc.packet.HReplyPacket.getSQLExceptionChain(HReplyPacket.java:157)
> at
> com.sap.db.jdbc.packet.HPartInfo.getSQLExceptionChain(HPartInfo.java:39)
> at com.sap.db.jdbc.ConnectionSapDB._receive(ConnectionSapDB.java:3476)
> at com.sap.db.jdbc.ConnectionSapDB.exchange(ConnectionSapDB.java:1568)
> at
> com.sap.db.jdbc.StatementSapDB._executeDirect(StatementSapDB.java:1435)
> at com.sap.db.jdbc.StatementSapDB._execute(StatementSapDB.java:1414)
> at com.sap.db.jdbc.StatementSapDB._execute(StatementSapDB.java:1399)
> at
> com.sap.db.jdbc.StatementSapDB._executeUpdate(StatementSapDB.java:1387)
> at com.sap.db.jdbc.StatementSapDB.executeUpdate(StatementSapDB.java:175)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.dropTable(JdbcUtils.scala:94)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:61)
> at
> org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$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:676)
> at
> org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676)
> at
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
> at
> org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676)
> at
> org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:285)
> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271)
> at org.apache.spark.sql.DataFrameWriter.jdbc(DataFrameWriter.scala:515)
> 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)
> endtime_pst : 2021-09-08 00:14:00
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