[
https://issues.apache.org/jira/browse/HUDI-1850?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17390440#comment-17390440
]
ASF GitHub Bot commented on HUDI-1850:
--------------------------------------
pengzhiwei2018 commented on pull request #2903:
URL: https://github.com/apache/hudi/pull/2903#issuecomment-889762744
> This patch needs to be redone a bit. Since w/ sql dml, create relation
will be called upfront, the empty table check has to be moved to sql dml layer.
I will sync up with @pengzhiwei2018 on how to go about this.
Why should we throw an exception for empty table? I think return an empty
list of rows is more reasonable. When user create table and query the table, it
is not friendly to throws an exception. Other data format in spark, like
parquet, delta, query empty table also return empty rows.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
> Read on table fails if the first write to table failed
> ------------------------------------------------------
>
> Key: HUDI-1850
> URL: https://issues.apache.org/jira/browse/HUDI-1850
> Project: Apache Hudi
> Issue Type: Bug
> Affects Versions: 0.8.0
> Reporter: Vaibhav Sinha
> Priority: Major
> Labels: pull-request-available, sev:critical, spark
> Attachments: Screenshot 2021-04-24 at 7.53.22 PM.png
>
>
> {code:java}
> ava.util.NoSuchElementException: No value present in Option
> at org.apache.hudi.common.util.Option.get(Option.java:88)
> ~[hudi-spark3-bundle_2.12-0.8.0.jar:0.8.0]
> at
> org.apache.hudi.common.table.TableSchemaResolver.getTableSchemaFromCommitMetadata(TableSchemaResolver.java:215)
> ~[hudi-spark3-bundle_2.12-0.8.0.jar:0.8.0]
> at
> org.apache.hudi.common.table.TableSchemaResolver.getTableAvroSchema(TableSchemaResolver.java:166)
> ~[hudi-spark3-bundle_2.12-0.8.0.jar:0.8.0]
> at
> org.apache.hudi.common.table.TableSchemaResolver.getTableAvroSchema(TableSchemaResolver.java:155)
> ~[hudi-spark3-bundle_2.12-0.8.0.jar:0.8.0]
> at
> org.apache.hudi.MergeOnReadSnapshotRelation.<init>(MergeOnReadSnapshotRelation.scala:65)
> ~[hudi-spark3-bundle_2.12-0.8.0.jar:0.8.0]
> at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:99)
> ~[hudi-spark3-bundle_2.12-0.8.0.jar:0.8.0]
> at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:63)
> ~[hudi-spark3-bundle_2.12-0.8.0.jar:0.8.0]
> at
> org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:354)
> ~[spark-sql_2.12-3.1.1.jar:3.1.1]
> at
> org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:326)
> ~[spark-sql_2.12-3.1.1.jar:3.1.1]
> at
> org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:308)
> ~[spark-sql_2.12-3.1.1.jar:3.1.1]
> at scala.Option.getOrElse(Option.scala:189)
> ~[scala-library-2.12.10.jar:?]
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:308)
> ~[spark-sql_2.12-3.1.1.jar:3.1.1]
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:240)
> ~[spark-sql_2.12-3.1.1.jar:3.1.1]
> {code}
> The screenshot shows the files that got created before the write had failed.
>
> !Screenshot 2021-04-24 at 7.53.22 PM.png!
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
