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author | felixcheung <felixcheung_m@hotmail.com> | 2016-01-21 16:30:20 +0100 |
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committer | Sean Owen <sowen@cloudera.com> | 2016-01-21 16:30:20 +0100 |
commit | 85200c09adc6eb98fadb8505f55cb44e3d8b3390 (patch) | |
tree | 21321d39a9962c0c7525165773ef64fd98cbe8bf /docs/configuration.md | |
parent | 1b2a918e59addcdccdf8e011bce075cc9dd07b93 (diff) | |
download | spark-85200c09adc6eb98fadb8505f55cb44e3d8b3390.tar.gz spark-85200c09adc6eb98fadb8505f55cb44e3d8b3390.tar.bz2 spark-85200c09adc6eb98fadb8505f55cb44e3d8b3390.zip |
[SPARK-12534][DOC] update documentation to list command line equivalent to properties
Several Spark properties equivalent to Spark submit command line options are missing.
Author: felixcheung <felixcheung_m@hotmail.com>
Closes #10491 from felixcheung/sparksubmitdoc.
Diffstat (limited to 'docs/configuration.md')
-rw-r--r-- | docs/configuration.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/docs/configuration.md b/docs/configuration.md index 12ac601296..acaeb83008 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -173,7 +173,7 @@ of the most common options to set are: stored on disk. This should be on a fast, local disk in your system. It can also be a comma-separated list of multiple directories on different disks. - NOTE: In Spark 1.0 and later this will be overriden by SPARK_LOCAL_DIRS (Standalone, Mesos) or + NOTE: In Spark 1.0 and later this will be overridden by SPARK_LOCAL_DIRS (Standalone, Mesos) or LOCAL_DIRS (YARN) environment variables set by the cluster manager. </td> </tr> @@ -687,10 +687,10 @@ Apart from these, the following properties are also available, and may be useful <td><code>spark.rdd.compress</code></td> <td>false</td> <td> - Whether to compress serialized RDD partitions (e.g. for - <code>StorageLevel.MEMORY_ONLY_SER</code> in Java - and Scala or <code>StorageLevel.MEMORY_ONLY</code> in Python). - Can save substantial space at the cost of some extra CPU time. + Whether to compress serialized RDD partitions (e.g. for + <code>StorageLevel.MEMORY_ONLY_SER</code> in Java + and Scala or <code>StorageLevel.MEMORY_ONLY</code> in Python). + Can save substantial space at the cost of some extra CPU time. </td> </tr> <tr> |