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Hyukjin Kwon updated SPARK-9442: -------------------------------- Labels: bulk-closed (was: ) > java.lang.ArithmeticException: / by zero when reading Parquet > ------------------------------------------------------------- > > Key: SPARK-9442 > URL: https://issues.apache.org/jira/browse/SPARK-9442 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.4.1 > Reporter: DB Tsai > Priority: Major > Labels: bulk-closed > > I am counting how many records in my nested parquet file with this schema, > {code} > scala> u1aTesting.printSchema > root > |-- profileId: long (nullable = true) > |-- country: string (nullable = true) > |-- data: array (nullable = true) > | |-- element: struct (containsNull = true) > | | |-- videoId: long (nullable = true) > | | |-- date: long (nullable = true) > | | |-- label: double (nullable = true) > | | |-- weight: double (nullable = true) > | | |-- features: vector (nullable = true) > {code} > and the number of the records in the nested data array is around 10k, and > each of the parquet file is around 600MB. The total size is around 120GB. > I am doing a simple count > {code} > scala> u1aTesting.count > parquet.io.ParquetDecodingException: Can not read value at 100 in block 0 in > file > hdfs://compute-1.amazonaws.com:9000/users/dbtsai/testing/u1old/20150721/part-r-00115-d70c946b-b0f0-45fe-9965-b9f062b9ec6d.gz.parquet > at > parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213) > at > parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204) > at > org.apache.spark.sql.sources.SqlNewHadoopRDD$$anon$1.hasNext(SqlNewHadoopRDD.scala:163) > at > org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at > org.apache.spark.sql.execution.Aggregate$$anonfun$doExecute$1$$anonfun$6.apply(Aggregate.scala:129) > at > org.apache.spark.sql.execution.Aggregate$$anonfun$doExecute$1$$anonfun$6.apply(Aggregate.scala:126) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:686) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:686) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:70) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Caused by: java.lang.ArithmeticException: / by zero > at > parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:109) > at > parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:193) > ... 21 more > {code} > BTW, no all the tasks fail, and some of them are successful. > Another note: By explicitly looping through the data to count, it will works. > {code} > sqlContext.read.load(hdfsPath + s"/testing/u1snappy/${date}/").map(x => > 1L).reduce((x, y) => x + y) > {code} > I think maybe some metadata in parquet files are corrupted. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org