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-rw-r--r--docs/submitting-applications.md2
1 files changed, 2 insertions, 0 deletions
diff --git a/docs/submitting-applications.md b/docs/submitting-applications.md
index b738194eac..b8b4cc3a53 100644
--- a/docs/submitting-applications.md
+++ b/docs/submitting-applications.md
@@ -137,7 +137,9 @@ The master URL passed to Spark can be in one of the following formats:
<tr><th>Master URL</th><th>Meaning</th></tr>
<tr><td> <code>local</code> </td><td> Run Spark locally with one worker thread (i.e. no parallelism at all). </td></tr>
<tr><td> <code>local[K]</code> </td><td> Run Spark locally with K worker threads (ideally, set this to the number of cores on your machine). </td></tr>
+<tr><td> <code>local[K,F]</code> </td><td> Run Spark locally with K worker threads and F maxFailures (see <a href="configuration.html#scheduling">spark.task.maxFailures</a> for an explanation of this variable) </td></tr>
<tr><td> <code>local[*]</code> </td><td> Run Spark locally with as many worker threads as logical cores on your machine.</td></tr>
+<tr><td> <code>local[*,F]</code> </td><td> Run Spark locally with as many worker threads as logical cores on your machine and F maxFailures.</td></tr>
<tr><td> <code>spark://HOST:PORT</code> </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>