[GitHub] [iceberg] NageshB82 edited a comment on issue #2302: Reading from iceberg table through spark thrift server using jdbc taking larger time

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

NageshB82 edited a comment on issue #2302:
URL: https://github.com/apache/iceberg/issues/2302#issuecomment-793438458


   We have loaded the tables using below spark scala code
   
     val accountDF = spark.read.schema(accschema).parquet("/Users/data/Account/*.parquet")
       accountDF.writeTo("Account")
         .overwritePartitions()
         
     There are almost 12 parquet files and each parquet file contains around 33k json records and size of each file is around 2.05MB
   


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