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Steve Loughran commented on SPARK-44884: ---------------------------------------- [~dipayandev] i don't think think anyone has disabled the option; doesn't surface in my test setup (manifest and s3a committers). Afraid you are going to have to debug it yourself, as it is your env which has the problem. does everything work if you use .saveAs() rather than .saveAsTable()? > Spark doesn't create SUCCESS file when external path is passed > -------------------------------------------------------------- > > 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: Critical > Attachments: image-2023-08-20-18-08-38-531.png, > image-2023-08-20-18-46-53-342.png > > > The issue is not happening in Spark 2.x (I am using 2.4.0), but only in 3.3.0 > Code to reproduce the issue. > > {code:java} > scala> spark.conf.set("spark.sql.orc.char.enabled", true) > scala> val DF = Seq(("test1", 123)).toDF("name", "num") > scala> DF.write.option("path", > "gs://test_dd123/").mode(SaveMode.Overwrite).partitionBy("num").format("orc").saveAsTable("test_schema.table_name") > 23/08/20 12:31:43 WARN SessionState: METASTORE_FILTER_HOOK will be ignored, > since hive.security.authorization.manager is set to instance of > HiveAuthorizerFactory. {code} > The above code succeeds and creates the External Hive table, but {*}there is > no SUCCESS file generated{*}. The same code when running spark 2.4.0, > generating a SUCCESS file. > Adding the content of the bucket after table creation > > !image-2023-08-20-18-08-38-531.png|width=453,height=162! > > But when I don’t pass the external path as following, the SUCCESS file is > generated > {code:java} > scala> > DF.write.mode(SaveMode.Overwrite).partitionBy("num").format("orc").saveAsTable("us_wm_supply_chain_rcv_pre_prod.test_tb1") > {code} > !image-2023-08-20-18-46-53-342.png|width=465,height=166! > -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org