1887/which-query-use-for-better-performance-join-sql-using-dataset
DataFrames and SparkSQL performed almost about the same, although with analysis involving aggregation and sorting SparkSQL had a slight advantage.
Hope this helps
Hi@ritu, I think the problem can be solved ...READ MORE
Spark is a framework for distributed data ...READ MORE
You can add external jars as arguments ...READ MORE
You can get the configuration details through ...READ MORE
You can use the merge function with ...READ MORE
Yes, you can reorder the dataframe elements. You need ...READ MORE
its late but this how you can ...READ MORE
With mapPartion() or foreachPartition(), you can only ...READ MORE
Yes, they both merge the values using ...READ MORE
As parquet is a column based storage ...READ MORE
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