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Status Future consideration
Workspace Analytics Engine
Created by Guest
Created on Sep 21, 2020

Include Graphframes Spark package in CPD

Graphframes package for Spark provides the capabilities of both the GraphX and the Spark DataFrames.

The recent Apache Spark 3.0 release has several enhancements with respect to the features enablement and performance, especially, for the Spark DataFrames.

Since the GraphFrames are based on Spark DataFrames, there is a direct advantage in using the GraphFrames compared to GraphX, as all the enhancements to DataFrames apply to GraphFrames.

This requirement is for the biggest IBM's bank client in India where the data size is humongous and hence utilizing GraphFrames would definitely help to better the performance.

This extended functionality includes motif finding, DataFrame-based serialization, and highly expressive graph queries.

Currently, in CPD, it is not possible to customize the Spark for Scala/Python environment, and also it is difficult to add a custom library.

Needed by Date Oct 31, 2020