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

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Ambarish-Giri edited a comment on issue #3395:
URL: https://github.com/apache/hudi/issues/3395#issuecomment-893140263


   Sure @nsivabalan eventually our test and prod environment will be EMR only. But before doing actual testing and derive the benchmarking metrics as I said earlier just evaluating Hudi to explore all its features in my local setup.
    
   But for now below are the libraries I am using :  
   scalaVersion := "2.12.11" 
   libraryDependencies += "org.apache.spark" %% "spark-core" % "2.4.7"
   libraryDependencies += "org.apache.spark" %% "spark-sql" % "2.4.7"
   libraryDependencies += "org.apache.hudi" %% "hudi-spark-bundle" % "0.7.0"
   libraryDependencies += "org.apache.hudi" %% "hudi-utilities-bundle" % "0.7.0"
   libraryDependencies += "org.apache.spark" %% "spark-avro" % "2.4.7"
   
   
   and while creating Spark session Object below is the spark config settings:
   val spark: SparkSession = SparkSession.builder()
         .appName("hudi-datalake")
         .master("local[*]")
         .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
         .config("spark.shuffle.compress", "true")
         .config("spark.shuffle.spill.compress", "true")
         .config("spark.executor.extraJavaOptions", "-XX:+UseG1GC")
         .config("spark.sql.hive.convertMetastoreParquet", "false") 
         .getOrCreate()


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