[GitHub] [hudi] chandu-1101 commented on issue #9141: [SUPPORT] unable to write dataframe into s3. Getting: HoodieSparkSqlWriter$: UPSERT failed with errors

["chandu-1101 (via GitHub)" <gi...@apache.org>]

chandu-1101 commented on issue #9141:
URL: https://github.com/apache/hudi/issues/9141#issuecomment-1628679634

   Any update? is the above explanation missing something important?  If i modify the above program to the below, the program returns in few seconds (the parquet file in the src is 40GB). When i go to the destination i see some `.hoodi` folders nothing more. 
   
   ```
       snapshotDf3.write.format("hudi")
   //      .options(getQuickstartWriteConfigs)
         .option(DataSourceWriteOptions.OPERATION.key(), DataSourceWriteOptions.BOOTSTRAP_OPERATION_OPT_VAL)
         .option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY, "cdc_pk")
         .option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, "cdc_oid")
         .option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY, "hash")
         .option(HoodieTableConfig.BASE_FILE_FORMAT.key(), HoodieFileFormat.PARQUET.name())
         .option(HoodieBootstrapConfig.BASE_PATH.key(), "s3://bucket/snapshots-hudi/ge11/snapshot")
   //      .option(HoodieWriteConfig.KEYGENERATOR_CLASS_NAME.key(), "org.apache.hudi.keygen.NonpartitionedKeyGenerator")
         .option(TABLE_NAME, "GE11")
         .mode(SaveMode.Overwrite)
         .save("s3://bucket/snapshots-hudi/ge11/snapshot");
   ```


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