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Posted to issues@spark.apache.org by "Simon Hafner (JIRA)" <ji...@apache.org> on 2016/01/13 18:18:39 UTC
[jira] [Commented] (SPARK-12677) Lazy file discovery for parquet
[ https://issues.apache.org/jira/browse/SPARK-12677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15096594#comment-15096594 ]
Simon Hafner commented on SPARK-12677:
--------------------------------------
What would be the gain? The application would crash with a different error, but it would still crash.
> Lazy file discovery for parquet
> -------------------------------
>
> Key: SPARK-12677
> URL: https://issues.apache.org/jira/browse/SPARK-12677
> Project: Spark
> Issue Type: Wish
> Components: SQL
> Reporter: Tiago Albineli Motta
> Priority: Minor
> Labels: features
>
> When using sqlContext.read.parquet(files: _*) the driver verifyies if everything is ok with the files. But reading those files is lazy, so when it starts maybe the files are not there anymore, or they have changed, so we receive this error message:
> {quote}
> 16/01/06 10:52:43 ERROR yarn.ApplicationMaster: User class threw exception: org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in stage 0.0 failed 4 times, most recent failure: Lost task 4.3 in stage 0.0 (TID 16, riolb586.globoi.com): java.io.FileNotFoundException: File does not exist: hdfs://mynamenode.com:8020/rec/prefs/2016/01/06/part-r-00003-27a100b0-ff49-45ad-8803-e6cc77286661.gz.parquet
> at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1309)
> at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1301)
> at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1317)
> at parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:381)
> at parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:155)
> at parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:138)
> at org.apache.spark.sql.sources.SqlNewHadoopRDD$$anon$1.<init>(SqlNewHadoopRDD.scala:153)
> at org.apache.spark.sql.sources.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:124)
> at org.apache.spark.sql.sources.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:66)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:242)
> at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:87)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {quote}
> Maybe if sqlContext.read.parquet could receive a Function to discover the files instead it could be avoided. Like this: sqlContext.read.parquet( () => files )
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