[jira] [Created] (HUDI-301) Failed to update a non-partition MOR table

["Wenning Ding (Jira)" <ji...@apache.org>]

Wenning Ding created HUDI-301:
---------------------------------

             Summary: 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


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.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)