Nilesh Barge created SPARK-3978: ----------------------------------- Summary: Schema change on Spark-Hive (Parquet file format) table not working Key: SPARK-3978 URL: https://issues.apache.org/jira/browse/SPARK-3978 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 1.1.0 Reporter: Nilesh Barge
On following releases: Spark 1.1.0 (built using sbt/sbt -Dhadoop.version=2.2.0 -Phive assembly) , Apache HDFS 2.2 Spark job is able to create/add/read data in hive, parquet formatted, tables using HiveContext. But, after changing schema, spark job is not able to read data and throws following exception: java.lang.ArrayIndexOutOfBoundsException: 2 at org.apache.hadoop.hive.ql.io.parquet.serde.ArrayWritableObjectInspector.getStructFieldData(ArrayWritableObjectInspector.java:127) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$1.apply(TableReader.scala:284) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$1.apply(TableReader.scala:278) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) at scala.collection.AbstractIterator.to(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) at org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:774) at org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:774) at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62) at org.apache.spark.scheduler.Task.run(Task.scala:54) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177) 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:744) code snippet in short: hiveContext.sql("CREATE EXTERNAL TABLE IF NOT EXISTS people_table (name String, age INT) ROW FORMAT SERDE 'parquet.hive.serde.ParquetHiveSerDe' STORED AS INPUTFORMAT 'parquet.hive.DeprecatedParquetInputFormat' OUTPUTFORMAT 'parquet.hive.DeprecatedParquetOutputFormat'"); hiveContext.sql("INSERT INTO TABLE people_table SELECT name, age FROM temp_table_people1"); hiveContext.sql("SELECT * FROM people_table"); //Here, data read was successful. hiveContext.sql("ALTER TABLE people_table ADD COLUMNS (gender STRING)"); hiveContext.sql("SELECT * FROM people_table"); //Not able to read existing data and ArrayIndexOutOfBoundsException is thrown. -- 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