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Posted to commits@uniffle.apache.org by ro...@apache.org on 2023/02/24 07:38:31 UTC
[incubator-uniffle] branch master updated: [MINOR] docs: update the project introduction in README (#653)
This is an automated email from the ASF dual-hosted git repository.
roryqi pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-uniffle.git
The following commit(s) were added to refs/heads/master by this push:
new b5ecb417 [MINOR] docs: update the project introduction in README (#653)
b5ecb417 is described below
commit b5ecb41713e067c517c702121e95982aae9f2e10
Author: Kaijie Chen <ck...@apache.org>
AuthorDate: Fri Feb 24 15:38:26 2023 +0800
[MINOR] docs: update the project introduction in README (#653)
### What changes were proposed in this pull request?
Update the project introduction in README.
### Why are the changes needed?
It is derived from the [Uniffle Proposal][1], hope it introduces the project better.
[1]: https://cwiki.apache.org/confluence/display/INCUBATOR/UniffleProposal
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
No need.
---
README.md | 13 +++++++++----
1 file changed, 9 insertions(+), 4 deletions(-)
diff --git a/README.md b/README.md
index f419f8d5..db0d9c4c 100644
--- a/README.md
+++ b/README.md
@@ -17,10 +17,15 @@
# Apache Uniffle (Incubating)
-Uniffle is a unified remote shuffle service for distributed compute engines.
-It provides the ability to aggregate and store shuffle data on remote servers,
-thus improving the performance and reliability of large jobs.
-Currently it supports [Apache Spark](https://spark.apache.org) and [Apache Hadoop MapReduce](https://hadoop.apache.org).
+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][1] and [Apache Hadoop MapReduce][2].
+
+[1]: https://spark.apache.org
+[2]: https://hadoop.apache.org
[](https://github.com/apache/incubator-uniffle/actions/workflows/build.yml)
[](https://codecov.io/gh/apache/incubator-uniffle)