You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Liu Dinghua (JIRA)" <ji...@apache.org> on 2017/10/12 04:39:00 UTC
[jira] [Updated] (SPARK-22260) java.lang.RuntimeException:
hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too
small)
[ https://issues.apache.org/jira/browse/SPARK-22260?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Liu Dinghua updated SPARK-22260:
--------------------------------
Description:
the codes which encountered errors are as follow:
* sqlContext.read.parquet("/logrep/1/sspstatistic")*
the hdfs path is as the image:
the detail errors are as follow:
17/10/12 10:41:04 WARN scheduler.TaskSetManager: Lost task 1.0 in stage 1.0 (TID 3, slave05): java.io.IOException: Could not read footer: java.lang.RuntimeException: hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too small)
at org.apache.parquet.hadoop.ParquetFileReader.readAllFootersInParallel(ParquetFileReader.java:247)
at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$27.apply(ParquetRelation.scala:786)
at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$27.apply(ParquetRelation.scala:775)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
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.RuntimeException: hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too small)
at org.apache.parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:412)
at org.apache.parquet.hadoop.ParquetFileReader$2.call(ParquetFileReader.java:237)
at org.apache.parquet.hadoop.ParquetFileReader$2.call(ParquetFileReader.java:233)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
... 3 more
17/10/12 10:41:04 INFO scheduler.TaskSetManager: Starting task 1.1 in stage 1.0 (TID 4, slave05, partition 1,PROCESS_LOCAL, 968186 bytes)
was:
the codes which encountered errors are as follow:
* sqlContext.read.parquet("/logrep/1/sspstatistic")*
the detail errors are as follow:
17/10/12 10:41:04 WARN scheduler.TaskSetManager: Lost task 1.0 in stage 1.0 (TID 3, slave05): java.io.IOException: Could not read footer: java.lang.RuntimeException: hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too small)
at org.apache.parquet.hadoop.ParquetFileReader.readAllFootersInParallel(ParquetFileReader.java:247)
at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$27.apply(ParquetRelation.scala:786)
at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$27.apply(ParquetRelation.scala:775)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
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.RuntimeException: hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too small)
at org.apache.parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:412)
at org.apache.parquet.hadoop.ParquetFileReader$2.call(ParquetFileReader.java:237)
at org.apache.parquet.hadoop.ParquetFileReader$2.call(ParquetFileReader.java:233)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
... 3 more
17/10/12 10:41:04 INFO scheduler.TaskSetManager: Starting task 1.1 in stage 1.0 (TID 4, slave05, partition 1,PROCESS_LOCAL, 968186 bytes)
> java.lang.RuntimeException: hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too small)
> ------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-22260
> URL: https://issues.apache.org/jira/browse/SPARK-22260
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.1
> Environment: spark1.6.1,YARN2.6.0
> Reporter: Liu Dinghua
>
> the codes which encountered errors are as follow:
> * sqlContext.read.parquet("/logrep/1/sspstatistic")*
> the hdfs path is as the image:
> the detail errors are as follow:
> 17/10/12 10:41:04 WARN scheduler.TaskSetManager: Lost task 1.0 in stage 1.0 (TID 3, slave05): java.io.IOException: Could not read footer: java.lang.RuntimeException: hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too small)
> at org.apache.parquet.hadoop.ParquetFileReader.readAllFootersInParallel(ParquetFileReader.java:247)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$27.apply(ParquetRelation.scala:786)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$27.apply(ParquetRelation.scala:775)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> 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.RuntimeException: hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too small)
> at org.apache.parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:412)
> at org.apache.parquet.hadoop.ParquetFileReader$2.call(ParquetFileReader.java:237)
> at org.apache.parquet.hadoop.ParquetFileReader$2.call(ParquetFileReader.java:233)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> ... 3 more
> 17/10/12 10:41:04 INFO scheduler.TaskSetManager: Starting task 1.1 in stage 1.0 (TID 4, slave05, partition 1,PROCESS_LOCAL, 968186 bytes)
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org