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Posted to commits@hudi.apache.org by "leesf (Jira)" <ji...@apache.org> on 2020/05/16 09:37:00 UTC
[jira] [Closed] (HUDI-528) Incremental Pull fails when latest
commit is empty
[ https://issues.apache.org/jira/browse/HUDI-528?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
leesf closed HUDI-528.
----------------------
Fixed via master: a64afdfd17ac974e451bceb877f3d40a9c775253
> Incremental Pull fails when latest commit is empty
> --------------------------------------------------
>
> Key: HUDI-528
> URL: https://issues.apache.org/jira/browse/HUDI-528
> Project: Apache Hudi (incubating)
> Issue Type: Bug
> Components: Incremental Pull
> Reporter: Javier Vega
> Assignee: Yanjia Gary Li
> Priority: Minor
> Labels: bug-bash-0.6.0, help-requested, pull-request-available
> Fix For: 0.5.3
>
>
> When trying to create an incremental view of a dataset, an exception is thrown when the latest commit in the time range is empty. In order to determine the schema of the dataset, Hudi will grab the [latest commit file, parse it, and grab the first metadata file path|https://github.com/apache/incubator-hudi/blob/480fc7869d4d69e1219bf278fd9a37f27ac260f6/hudi-spark/src/main/scala/org/apache/hudi/IncrementalRelation.scala#L78-L80]. If the latest commit was empty though, the field which is used to determine file paths (partitionToWriteStats) will be empty causing the following exception:
>
>
> {code:java}
> java.util.NoSuchElementException
> at java.util.HashMap$HashIterator.nextNode(HashMap.java:1447)
> at java.util.HashMap$ValueIterator.next(HashMap.java:1474)
> at org.apache.hudi.IncrementalRelation.<init>(IncrementalRelation.scala:80)
> at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:65)
> at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:46)
> at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:318)
> at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
> {code}
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