Serialization Exception running GenericUDF in HIVE with Spark.

I get an exception running a job with a GenericUDF in HIVE with Spark. Exception trace as below -

at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)

at org.apache.spark.SparkContext.runJob(SparkContext.scala:2029)

at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:186)

... 40 more

Caused by: org.apache.hive.com.esotericsoftware.kryo.KryoException: Unable to find class: java.time.temporal.TemporalQueries$$Lambda$27/1278539211

Serialization trace:

query (java.time.format.DateTimeFormatterBuilder$ZoneTextPrinterParser)

printerParsers (java.time.format.DateTimeFormatterBuilder$CompositePrinterParser)

printerParser (java.time.format.DateTimeFormatter)

frmt (com.ds.common.udfs.TZToOffset)

at org.apache.hive.com.esotericsoftware.kryo.util.DefaultClassResolver.readName(DefaultClassResolver.java:138)

at org.apache.hive.com.esotericsoftware.kryo.util.DefaultClassResolver.readClass(DefaultClassResolver.java:115)

Solution - Refer https://issues.apache.org/jira/browse/HIVE-7711

1) set hive.plan.serialization.format=javaXML

2) Implement a custom Serializer

3)In my case, we realized that error was due to use of "java.time.ZonedDateTime". We updated to use "java.time.LocalDateTime" and it worked fine.

Comments

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