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| author | Sandy Ryza <sandy@cloudera.com> | 2014-03-13 12:11:33 -0700 |
|---|---|---|
| committer | Patrick Wendell <pwendell@gmail.com> | 2014-03-13 12:11:33 -0700 |
| commit | 698373211ef3cdf841c82d48168cd5dbe00a57b4 (patch) | |
| tree | a07edbe4835a7b01aa48cf9bd35c0d6939d21d78 /docs/cluster-overview.md | |
| parent | e4e8d8f395aea48f0cae00d7c381a863c48a2837 (diff) | |
| download | spark-698373211ef3cdf841c82d48168cd5dbe00a57b4.tar.gz spark-698373211ef3cdf841c82d48168cd5dbe00a57b4.tar.bz2 spark-698373211ef3cdf841c82d48168cd5dbe00a57b4.zip | |
SPARK-1183. Don't use "worker" to mean executor
Author: Sandy Ryza <sandy@cloudera.com>
Closes #120 from sryza/sandy-spark-1183 and squashes the following commits:
5066a4a [Sandy Ryza] Remove "worker" in a couple comments
0bd1e46 [Sandy Ryza] Remove --am-class from usage
bfc8fe0 [Sandy Ryza] Remove am-class from doc and fix yarn-alpha
607539f [Sandy Ryza] Address review comments
74d087a [Sandy Ryza] SPARK-1183. Don't use "worker" to mean executor
Diffstat (limited to 'docs/cluster-overview.md')
| -rw-r--r-- | docs/cluster-overview.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/cluster-overview.md b/docs/cluster-overview.md index e16703292c..a555a7b502 100644 --- a/docs/cluster-overview.md +++ b/docs/cluster-overview.md @@ -13,7 +13,7 @@ object in your main program (called the _driver program_). Specifically, to run on a cluster, the SparkContext can connect to several types of _cluster managers_ (either Spark's own standalone cluster manager or Mesos/YARN), which allocate resources across applications. Once connected, Spark acquires *executors* on nodes in the cluster, which are -worker processes that run computations and store data for your application. +processes that run computations and store data for your application. Next, it sends your application code (defined by JAR or Python files passed to SparkContext) to the executors. Finally, SparkContext sends *tasks* for the executors to run. |