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Jayadevan M commented on SPARK-17557: ------------------------------------- Hi [~epahomov] I tried to replicate this issue using below steps. But not able to replicate. please correct me if I am wrong spark.sql("CREATE TABLE _a(i INT) PARTITIONED By (year int,month int, day int) STORED as parquet ").explain(true) spark.sql("select * from _a where year=2016 and month=9 and day=14 limit 100").explain(true) > SQL query on parquet table java.lang.UnsupportedOperationException: > org.apache.parquet.column.values.dictionary.PlainValuesDictionary > ------------------------------------------------------------------------------------------------------------------------------------- > > Key: SPARK-17557 > URL: https://issues.apache.org/jira/browse/SPARK-17557 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.0 > Reporter: Egor Pahomov > > Working on 1.6.2, broken on 2.0 > {code} > select * from logs.a where year=2016 and month=9 and day=14 limit 100 > {code} > {code} > java.lang.UnsupportedOperationException: > org.apache.parquet.column.values.dictionary.PlainValuesDictionary$PlainBinaryDictionary > at org.apache.parquet.column.Dictionary.decodeToInt(Dictionary.java:48) > at > org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.getInt(OnHeapColumnVector.java:233) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown > Source) > at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) > at org.apache.spark.scheduler.Task.run(Task.scala:86) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > {code} -- 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