[GitHub] [hudi] Ambarish-Giri commented on issue #3395: [SUPPORT] Issues with read optimized query MOR table

[GitBox <gi...@apache.org>]

Ambarish-Giri commented on issue #3395:
URL: https://github.com/apache/hudi/issues/3395#issuecomment-891965879


   Hi @nsivabalan , I am having a hudi setup in my windows laptop currently. 
   I am in the evaluation phase. 
   I running my spark program using spark.read() as mentioned above.
   
   Below is the code snippet for write and read:
   
   df.write
         .format("hudi")
          .option(DataSourceWriteOptions.TABLE_TYPE_OPT_KEY, DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL)
          .option(DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY,keyGenClass)
         .option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, key)
         .option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY, partitionKey)
         .option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY, combineKey)
         .option(HoodieWriteConfig.TABLE_NAME, tableName)
         .option(DataSourceWriteOptions.OPERATION_OPT_KEY, DataSourceWriteOptions.UPSERT_OPERATION_OPT_VAL)
         .option("hoodie.upsert.shuffle.parallelism", "2")
         .mode(SaveMode.Append)
         .save(s"$basePath/$tableName/")
   
   
   and 
   
   spark.read
     .format("hudi")
     .option(DataSourceReadOptions.QUERY_TYPE_OPT_KEY,
   DataSourceReadOptions.QUERY_TYPE_READ_OPTIMIZED_OPT_VAL)
     .load(s"$basePath/$tableName")
     .show(50,false)
   


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