jacky hung created SPARK-2569:
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Summary: Customized UDFs in hive not running with Spark SQL
Key: SPARK-2569
URL: https://issues.apache.org/jira/browse/SPARK-2569
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.0.0
Environment: linux or mac, hive 0.9.0 and hive 0.13.0 with hadoop
1.0.4, scala 2.10.3, spark 1.0.0
Reporter: jacky hung
start spark-shell,
init (like create hiveContext, import ._ ect, make sure the jar including the
UDFs is in classpath)
hql("CREATE TEMPORARY FUNCTION t_ts AS 'udf.Timestamp'"), which is successful.
then i tried hql("select t_ts(time) from data_common where xxxx limit
1").collect().foreach(println), which failed with NullPointException
we had discussion about it in the mail list.
http://apache-spark-user-list.1001560.n3.nabble.com/run-sparksql-hiveudf-error-throw-NPE-td8888.html#a9006
java.lang.NullPointerException
org.apache.spark.sql.hive.HiveFunctionFactory$class.getFunctionClass(hiveUdfs.scala:117)
org.apache.spark.sql.hive.HiveUdf.getFunctionClass(hiveUdfs.scala:157)
org.apache.spark.sql.hive.HiveFunctionFactory$class.createFunction(hiveUdfs.scala:119)
org.apache.spark.sql.hive.HiveUdf.createFunction(hiveUdfs.scala:157)
org.apache.spark.sql.hive.HiveUdf.function$lzycompute(hiveUdfs.scala:170)
org.apache.spark.sql.hive.HiveUdf.function(hiveUdfs.scala:170)
org.apache.spark.sql.hive.HiveSimpleUdf.method$lzycompute(hiveUdfs.scala:181)
org.apache.spark.sql.hive.HiveSimpleUdf.method(hiveUdfs.scala:180)
org.apache.spark.sql.hive.HiveSimpleUdf.wrappers$lzycompute(hiveUdfs.scala:186)
org.apache.spark.sql.hive.HiveSimpleUdf.wrappers(hiveUdfs.scala:186)
org.apache.spark.sql.hive.HiveSimpleUdf.eval(hiveUdfs.scala:220)
org.apache.spark.sql.catalyst.expressions.MutableProjection.apply(Projection.scala:64)
org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$7.apply(Aggregate.scala:160)
org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$7.apply(Aggregate.scala:153)
org.apache.spark.rdd.RDD$$anonfun$12.apply(RDD.scala:580)
org.apache.spark.rdd.RDD$$anonfun$12.apply(RDD.scala:580)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:261)
org.apache.spark.rdd.RDD.iterator(RDD.scala:228)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
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