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Posted to commits@hudi.apache.org by "Balaji Varadarajan (Jira)" <ji...@apache.org> on 2019/10/16 09:23:00 UTC
[jira] [Updated] (HUDI-301) Failed to update a non-partition MOR
table
[ https://issues.apache.org/jira/browse/HUDI-301?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Balaji Varadarajan updated HUDI-301:
------------------------------------
Fix Version/s: 0.5.0
> Failed to update a non-partition MOR table
> ------------------------------------------
>
> Key: HUDI-301
> URL: https://issues.apache.org/jira/browse/HUDI-301
> Project: Apache Hudi (incubating)
> Issue Type: Bug
> Components: Common Core
> Reporter: Wenning Ding
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.5.0
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> We met this exception when trying to update a field for a non-partition MOR table.
> {code:java}
> org.apache.hudi.exception.HoodieUpsertException: Error upserting bucketType UPDATE for partition :0
> at org.apache.hudi.table.HoodieCopyOnWriteTable.handleUpsertPartition(HoodieCopyOnWriteTable.java:273)
> at org.apache.hudi.HoodieWriteClient.lambda$upsertRecordsInternal$507693af$1(HoodieWriteClient.java:457)
> at org.apache.spark.api.java.JavaRDDLike$$anonfun$mapPartitionsWithIndex$1.apply(JavaRDDLike.scala:102)
> at org.apache.spark.api.java.JavaRDDLike$$anonfun$mapPartitionsWithIndex$1.apply(JavaRDDLike.scala:102)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$25.apply(RDD.scala:853)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$25.apply(RDD.scala:853)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:337)
> at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:335)
> at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1182)
> at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156)
> at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091)
> at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156)
> at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:882)
> at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:335)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:286)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.IllegalArgumentException: Can not create a Path from an empty string
> at org.apache.hadoop.fs.Path.checkPathArg(Path.java:163)
> at org.apache.hadoop.fs.Path.<init>(Path.java:175)
> at org.apache.hadoop.fs.Path.<init>(Path.java:110)
> at org.apache.hudi.io.HoodieAppendHandle.init(HoodieAppendHandle.java:145)
> at org.apache.hudi.io.HoodieAppendHandle.doAppend(HoodieAppendHandle.java:194)
> at org.apache.hudi.table.HoodieMergeOnReadTable.handleUpdate(HoodieMergeOnReadTable.java:116)
> at org.apache.hudi.table.HoodieCopyOnWriteTable.handleUpsertPartition(HoodieCopyOnWriteTable.java:265)
> ... 30 more
> {code}
> I have created a PR to solve this issue.
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