jacky hung created SPARK-2569: --------------------------------- 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) -- This message was sent by Atlassian JIRA (v6.2#6252)