Adrian Bridgett created SPARK-13286:
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Summary: JDBC driver doesn't report full exception
Key: SPARK-13286
URL: https://issues.apache.org/jira/browse/SPARK-13286
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.6.0
Reporter: Adrian Bridgett
Priority: Minor
Testing some failure scenarios (inserting data into postgresql where there is a
schema mismatch) , there is an exception thrown (fine so far) however it
doesn't report the actual SQL error. It refers to a getNextException call but
this is beyond my non-existant Java skills to deal with correctly. Supporting
this would help users to see the SQL error quickly and resolve the underlying
problem.
{noformat}
Caused by: java.sql.BatchUpdateException: Batch entry 0 INSERT INTO core
VALUES('5fdf5...',....) was aborted. Call getNextException to see the cause.
at
org.postgresql.jdbc2.AbstractJdbc2Statement$BatchResultHandler.handleError(AbstractJdbc2Statement.java:2746)
at
org.postgresql.core.v3.QueryExecutorImpl$1.handleError(QueryExecutorImpl.java:457)
at
org.postgresql.core.v3.QueryExecutorImpl.processResults(QueryExecutorImpl.java:1887)
at
org.postgresql.core.v3.QueryExecutorImpl.execute(QueryExecutorImpl.java:405)
at
org.postgresql.jdbc2.AbstractJdbc2Statement.executeBatch(AbstractJdbc2Statement.java:2893)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:185)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:248)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:247)
at
org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$33.apply(RDD.scala:920)
at
org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$33.apply(RDD.scala:920)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
{noformat}
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