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Posted to commits@spark.apache.org by rx...@apache.org on 2014/06/25 10:02:00 UTC
git commit: Replace doc reference to Shark with Spark SQL.
Repository: spark
Updated Branches:
refs/heads/master acc01ab32 -> ac06a85da
Replace doc reference to Shark with Spark SQL.
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/ac06a85d
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/ac06a85d
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/ac06a85d
Branch: refs/heads/master
Commit: ac06a85da59db8f2654cdf6601d186348da09c01
Parents: acc01ab
Author: Reynold Xin <rx...@apache.org>
Authored: Wed Jun 25 01:01:23 2014 -0700
Committer: Reynold Xin <rx...@apache.org>
Committed: Wed Jun 25 01:01:23 2014 -0700
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docs/index.md | 5 ++---
1 file changed, 2 insertions(+), 3 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/ac06a85d/docs/index.md
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diff --git a/docs/index.md b/docs/index.md
index 1a4ff3d..4ac0982 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -6,7 +6,7 @@ title: Spark Overview
Apache Spark is a fast and general-purpose cluster computing system.
It provides high-level APIs in Java, Scala and Python,
and an optimized engine that supports general execution graphs.
-It also supports a rich set of higher-level tools including [Shark](http://shark.cs.berkeley.edu) (Hive on Spark), [Spark SQL](sql-programming-guide.html) for structured data, [MLlib](mllib-guide.html) for machine learning, [GraphX](graphx-programming-guide.html) for graph processing, and [Spark Streaming](streaming-programming-guide.html).
+It also supports a rich set of higher-level tools including [Spark SQL](sql-programming-guide.html) for SQL and structured data processing, [MLlib](mllib-guide.html) for machine learning, [GraphX](graphx-programming-guide.html) for graph processing, and [Spark Streaming](streaming-programming-guide.html).
# Downloading
@@ -109,10 +109,9 @@ options for deployment:
**External Resources:**
* [Spark Homepage](http://spark.apache.org)
-* [Shark](http://shark.cs.berkeley.edu): Apache Hive over Spark
* [Mailing Lists](http://spark.apache.org/mailing-lists.html): ask questions about Spark here
* [AMP Camps](http://ampcamp.berkeley.edu/): a series of training camps at UC Berkeley that featured talks and
- exercises about Spark, Shark, Spark Streaming, Mesos, and more. [Videos](http://ampcamp.berkeley.edu/3/),
+ exercises about Spark, Spark Streaming, Mesos, and more. [Videos](http://ampcamp.berkeley.edu/3/),
[slides](http://ampcamp.berkeley.edu/3/) and [exercises](http://ampcamp.berkeley.edu/3/exercises/) are
available online for free.
* [Code Examples](http://spark.apache.org/examples.html): more are also available in the `examples` subfolder of Spark ([Scala]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/scala/org/apache/spark/examples),