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author | Evan Chan <ev@ooyala.com> | 2013-09-06 13:59:43 -0700 |
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committer | Evan Chan <ev@ooyala.com> | 2013-09-06 13:59:43 -0700 |
commit | 5a18b854a704fc37dc268f9183552da8655d5b1d (patch) | |
tree | dfef4b915734058adb2798c1051371eb0780bda8 /docs | |
parent | 76d5d2d3c5881782100571fa2976017fa8df4f57 (diff) | |
download | spark-5a18b854a704fc37dc268f9183552da8655d5b1d.tar.gz spark-5a18b854a704fc37dc268f9183552da8655d5b1d.tar.bz2 spark-5a18b854a704fc37dc268f9183552da8655d5b1d.zip |
Easier way to start the master
Diffstat (limited to 'docs')
-rw-r--r-- | docs/spark-standalone.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md index 7d4bb1d8be..c54de082f9 100644 --- a/docs/spark-standalone.md +++ b/docs/spark-standalone.md @@ -9,7 +9,7 @@ In addition to running on the Mesos or YARN cluster managers, Spark also provide You can start a standalone master server by executing: - ./spark-class org.apache.spark.deploy.master.Master + ./bin/start-master.sh Once started, the master will print out a `spark://HOST:PORT` URL for itself, which you can use to connect workers to it, or pass as the "master" argument to `SparkContext`. You can also find this URL on |