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Diffstat (limited to 'docs/scala-programming-guide.md')
| -rw-r--r-- | docs/scala-programming-guide.md | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/docs/scala-programming-guide.md b/docs/scala-programming-guide.md index b8d89cf00f..e7ceaa22c3 100644 --- a/docs/scala-programming-guide.md +++ b/docs/scala-programming-guide.md @@ -48,12 +48,12 @@ how to access a cluster. To create a `SparkContext` you first need to build a `S that contains information about your application. {% highlight scala %} -val conf = new SparkConf().setAppName(<app name>).setMaster(<master>) +val conf = new SparkConf().setAppName(appName).setMaster(master) new SparkContext(conf) {% endhighlight %} -The `<master>` parameter is a string specifying a [Spark, Mesos or YARN cluster URL](#master-urls) -to connect to, or a special "local" string to run in local mode, as described below. `<app name>` is +The `master` parameter is a string specifying a [Spark, Mesos or YARN cluster URL](#master-urls) +to connect to, or a special "local" string to run in local mode, as described below. `appName` is a name for your application, which will be shown in the cluster web UI. It's also possible to set these variables [using a configuration file](cluster-overview.html#loading-configurations-from-a-file) which avoids hard-coding the master name in your application. @@ -81,9 +81,8 @@ The master URL passed to Spark can be in one of the following formats: <table class="table"> <tr><th>Master URL</th><th>Meaning</th></tr> <tr><td> local </td><td> Run Spark locally with one worker thread (i.e. no parallelism at all). </td></tr> -<tr><td> local[K] </td><td> Run Spark locally with K worker threads (ideally, set this to the number of cores on your machine). +<tr><td> local[K] </td><td> Run Spark locally with K worker threads (ideally, set this to the number of cores on your machine). </td></tr> <tr><td> local[*] </td><td> Run Spark locally with as many worker threads as logical cores on your machine.</td></tr> -</td></tr> <tr><td> spark://HOST:PORT </td><td> Connect to the given <a href="spark-standalone.html">Spark standalone cluster</a> master. The port must be whichever one your master is configured to use, which is 7077 by default. </td></tr> |