Alex Angelini created SPARK-9643: ------------------------------------ Summary: Upgrade Pyrolite to 4.9 Key: SPARK-9643 URL: https://issues.apache.org/jira/browse/SPARK-9643 Project: Spark Issue Type: Bug Components: PySpark Affects Versions: 1.4.1 Reporter: Alex Angelini
Trying to serialize a DataFrame with a datetime column that includes a timezone fails with the following error. ``` net.razorvine.pickle.PickleException: invalid pickle data for datetime; expected 1 or 7 args, got 2 at net.razorvine.pickle.objects.DateTimeConstructor.createDateTime(DateTimeConstructor.java:69) at net.razorvine.pickle.objects.DateTimeConstructor.construct(DateTimeConstructor.java:32) at net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:701) at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:171) at net.razorvine.pickle.Unpickler.load(Unpickler.java:85) at net.razorvine.pickle.Unpickler.loads(Unpickler.java:98) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:151) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:150) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.org$apache$spark$sql$execution$datasources$InsertIntoHadoopFsRelation$$writeRows$1(commands.scala:185) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$insert$1.apply(commands.scala:163) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$insert$1.apply(commands.scala:163) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:64) at org.apache.spark.scheduler.Task.run(Task.scala:86) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) 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) ``` According to [~davies] timezone serialization is done directly in Spark and not dependent on Pyrolite, but I was not able to prove that. Upgrading to 4.9 fixed this issue https://github.com/apache/spark/pull/7950 -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org