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Virgil Palanciuc updated SPARK-11657: ------------------------------------- Attachment: sample.tgz Sample directory, use to reproduce the problem > Bad data read using dataframes > ------------------------------ > > Key: SPARK-11657 > URL: https://issues.apache.org/jira/browse/SPARK-11657 > Project: Spark > Issue Type: Bug > Components: Spark Core, SQL > Affects Versions: 1.5.1, 1.5.2 > Environment: EMR (yarn) > Reporter: Virgil Palanciuc > Priority: Critical > Attachments: sample.tgz > > > I get strange behaviour when reading parquet data: > {code} > scala> val data = sqlContext.read.parquet("hdfs:///sample") > data: org.apache.spark.sql.DataFrame = [clusterSize: int, clusterName: > string, clusterData: array<string>, dpid: int] > scala> data.take(1) /// this returns garbage > res0: Array[org.apache.spark.sql.Row] = > Array([1,56169A947F000101????????,WrappedArray(164594606101815510825479776971????????),813]) > > scala> data.collect() /// this works > res1: Array[org.apache.spark.sql.Row] = > Array([1,6A01CACD56169A947F000101,WrappedArray(77512098164594606101815510825479776971),813]) > {code} > I've included the "hdfs:///sample" directory here: > https://www.dropbox.com/s/su0flfn49rrc7jz/sample.tgz?dl=0 -- 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