Maciej Bryński created SPARK-18022: -------------------------------------- Summary: java.lang.NullPointerException instead of real exception when saving DF to MySQL Key: SPARK-18022 URL: https://issues.apache.org/jira/browse/SPARK-18022 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 2.0.1 Reporter: Maciej Bryński Priority: Minor Hi, I have found following issue. When there is an exception while saving dataframe to MySQL I'm unable to get it. Instead of I'm getting following stacktrace. {code} 16/10/20 06:00:35 WARN TaskSetManager: Lost task 56.0 in stage 10.0 (TID 3753, dwh-hn28.adpilot.co): java.lang.NullPointerException: Cannot suppress a null exception. at java.lang.Throwable.addSuppressed(Throwable.java:1046) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:256) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:314) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$saveTable$1.apply(JdbcUtils.scala:313) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:902) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:902) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1916) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1916) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:86) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) {code} The real exception could be for example duplicate on primary key etc. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org For additional commands, e-mail: issues-help@spark.apache.org