openucx / sparkucx

A high-performance, scalable and efficient ShuffleManager plugin for Apache Spark, utilizing UCX communication layer
https://www.sparkucx.org/
BSD 3-Clause "New" or "Revised" License
44 stars 31 forks source link

README: update readme information. #5

Closed petro-rudenko closed 4 years ago

petro-rudenko commented 5 years ago

Updated README information:

shamisp commented 4 years ago

It is a bit late, but I would ask @tonycurtis to review this.

petro-rudenko commented 4 years ago

@shamisp sure, feel free to review! I'll make another PR if needed. Will update readme when main code part would be merged.

tonycurtis commented 4 years ago

Oops, looked at #6 by mistake, deleted that comment here.

.github/workflows/sparkucx-ci.yml

15: the SparkUCX

README.md

17: Put SparkUCX jar file to $SPARK_UCX_HOME

to -> in

shamisp commented 4 years ago

@tonycurtis - feel free to review the entire README.md :) thanks !!!

tonycurtis commented 4 years ago

On Oct 9, 2019, at 10:32 AM, Pavel Shamis (Pasha) notifications@github.com wrote:

@tonycurtis https://github.com/tonycurtis - feel free to review the entire README.md :) thanks !!!

SparkUCX is a high performance ShuffleManager plugin for Apache Spark that uses RDMA and other high performance transport, supported by UCX https://github.com/openucx/ucx#supported-transports when performing Shuffle data transfers in Spark jobs.

This open-source project is developed, maintained and supported by UCF consortium http://www.ucfconsortium.org/.

SparkUCX is a high performance ShuffleManager plugin for Apache Spark, that uses RDMA and other high performance transports that are supported by UCX https://github.com/openucx/ucx#supported-transports, to perform Shuffle data transfers in Spark jobs.

This open-source project is developed, maintained and supported by the UCF consortium http://www.ucfconsortium.org/.

To enable the SparkUCX Shuffle Manager plugin, add the following configuration property to spark (e.g. $SPARK_HOME/conf/spark-defaults.conf):

To enable the SparkUCX Shuffle Manager plugin, add the following configuration property to spark (e.g. in $SPARK_HOME/conf/spark-defaults.conf):

Tony

shamisp commented 4 years ago

@tonycurtis - much appreciated !