Add support of Apache Uniffle for remote shuffle service #796
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Which issue does this PR close?
Closes #.
Rationale for this change
Uniffle is a high performance, general purpose remote shuffle service for distributed computing engines. It provides the ability to push shuffle data into centralized storage service, changing the shuffle style from "local file pull-like style" to "remote block push-like style". It brings in several advantages like supporting disaggregated storage deployment, super large shuffle jobs, and high elasticity. Currently it supports Apache Spark, Apache Hadoop MapReduce and Apache Tez.
Based on the above advantages, uniffle has been used by several commercial companies. After intergrating with blaze, users' spark jobs will benefit greatly from storage-computation separation and vectorized execution.
What changes are included in this PR?
Following the blaze's rss shuffle manager design to implement the writer + reader
Are there any user-facing changes?
Yes.