[
https://issues.apache.org/jira/browse/SPARK-11657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xin Wu updated SPARK-11657:
---------------------------
Comment: was deleted
(was: I tried this sample data as local file mode. and it seems working to me.
Have you tried it this way?
{code}
scala> val data = sqlContext.read.parquet("/root/sample")
[Stage 0:> (0 + 8) /
8]SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further
details.
data: org.apache.spark.sql.DataFrame = [clusterSize: int, clusterName: string,
clusterData: array<string>, dpid: int]
scala> data.take(1)
15/11/11 08:26:29 WARN ParquetRecordReader: Can not initialize counter due to
context is not a instance of TaskInputOutputContext, but is
org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
res0: Array[org.apache.spark.sql.Row] =
Array([1,6A01CACD56169A947F000101,WrappedArray(77512098164594606101815510825479776971),813])
scala> data.collect()
15/11/11 08:26:53 WARN ParquetRecordReader: Can not initialize counter due to
context is not a instance of TaskInputOutputContext, but is
org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
res1: Array[org.apache.spark.sql.Row] =
Array([1,6A01CACD56169A947F000101,WrappedArray(77512098164594606101815510825479776971),813])
scala> data.show(false)
15/11/11 08:26:57 WARN ParquetRecordReader: Can not initialize counter due to
context is not a instance of TaskInputOutputContext, but is
org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
+-----------+------------------------+----------------------------------------+----+
|clusterSize|clusterName |clusterData
|dpid|
+-----------+------------------------+----------------------------------------+----+
|1
|6A01CACD56169A947F000101|[77512098164594606101815510825479776971]|813 |
+-----------+------------------------+----------------------------------------+----+
{code})
> Bad Dataframe data read from parquet
> ------------------------------------
>
> 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 attached the "hdfs:///sample" directory to this bug report
--
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
