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https://issues.apache.org/jira/browse/SPARK-44884?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17867743#comment-17867743
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Steve Loughran commented on SPARK-44884:
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FWIW The new manifest committer, written for performance on abfs and
correctness + performance on gcs generates the exact same JSON file as the s3a
committers, and can be executed against local file:// URLs as well as hdfs. If
the base hadoop version spark uses includes this committer (MAPREDUCE-7341}
then you could write a test to verify the copied file is JSON; the class
org.apache.hadoop.mapreduce.lib.output.committer.manifest.files.ManifestSuccessData
will actually load the manifest and let you access and print its internals
bq. Also, ensure that when
"spark.hadoop.mapreduce.fileoutputcommitter.marksuccessfuljobs"=”false”, the
_SUCCESS marker file will not be created by the Hadoop output committers in
stagingDir itself.
that's in the hadoop mapreduce codebase, should all be good there -but tests
are welcome.
> Spark doesn't create SUCCESS file in Spark 3.3.0+ when partitionOverwriteMode
> is dynamic
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-44884
> URL: https://issues.apache.org/jira/browse/SPARK-44884
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.3.0
> Reporter: Dipayan Dev
> Priority: Major
> Labels: pull-request-available
> Attachments: image-2023-08-20-18-46-53-342.png,
> image-2023-08-25-13-01-42-137.png
>
>
> The issue is not happening in Spark 2.x (I am using 2.4.0), but only in 3.3.0
> (tested with 3.4.1 as well)
> Code to reproduce the issue
>
> {code:java}
> scala> spark.conf.set("spark.sql.sources.partitionOverwriteMode", "dynamic")
> scala> val DF = Seq(("test1", 123)).toDF("name", "num")
> scala> DF.write.option("path",
> "gs://test_bucket/table").mode("overwrite").partitionBy("num").format("orc").saveAsTable("test_schema.test_tb1")
> {code}
>
> The above code succeeds and creates external Hive table, but {*}there is no
> SUCCESS file generated{*}.
> Adding the content of the bucket after table creation
> !image-2023-08-25-13-01-42-137.png|width=500,height=130!
> The same code when running with spark 2.4.0 (with or without external path),
> generates the SUCCESS file.
> {code:java}
> scala>
> DF.write.mode(SaveMode.Overwrite).partitionBy("num").format("orc").saveAsTable("test_schema.test_tb1"){code}
> !image-2023-08-20-18-46-53-342.png|width=465,height=166!
>
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