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| author | Dongjoon Hyun <dongjoon@apache.org> | 2016-02-21 15:27:07 -0800 |
|---|---|---|
| committer | Reynold Xin <rxin@databricks.com> | 2016-02-21 15:27:07 -0800 |
| commit | 03e62aa3f6e16a271262c786be3d1542af79d3e4 (patch) | |
| tree | 8c630d8cfa316a38cb03e3645e32155d6d8c50ab /docs/configuration.md | |
| parent | 6c3832b26e119626205732b8fd03c8f5ba986896 (diff) | |
| download | spark-03e62aa3f6e16a271262c786be3d1542af79d3e4.tar.gz spark-03e62aa3f6e16a271262c786be3d1542af79d3e4.tar.bz2 spark-03e62aa3f6e16a271262c786be3d1542af79d3e4.zip | |
[MINOR][DOCS] Fix typos in `configuration.md` and `hardware-provisioning.md`
## What changes were proposed in this pull request?
This PR fixes some typos in the following documentation files.
* `NOTICE`, `configuration.md`, and `hardware-provisioning.md`.
## How was the this patch tested?
manual tests
Author: Dongjoon Hyun <dongjoonapache.org>
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes #11289 from dongjoon-hyun/minor_fix_typos_notice_and_confdoc.
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 f2443e9857..568eca9b5f 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -249,7 +249,7 @@ Apart from these, the following properties are also available, and may be useful <td>false</td> <td> (Experimental) Whether to give user-added jars precedence over Spark's own jars when loading - classes in the the driver. This feature can be used to mitigate conflicts between Spark's + classes in the driver. This feature can be used to mitigate conflicts between Spark's dependencies and user dependencies. It is currently an experimental feature. This is used in cluster mode only. @@ -373,7 +373,7 @@ Apart from these, the following properties are also available, and may be useful <td> Reuse Python worker or not. If yes, it will use a fixed number of Python workers, does not need to fork() a Python process for every tasks. It will be very useful - if there is large broadcast, then the broadcast will not be needed to transfered + if there is large broadcast, then the broadcast will not be needed to transferred from JVM to Python worker for every task. </td> </tr> @@ -1266,7 +1266,7 @@ Apart from these, the following properties are also available, and may be useful <td> Comma separated list of users/administrators that have view and modify access to all Spark jobs. This can be used if you run on a shared cluster and have a set of administrators or devs who - help debug when things work. Putting a "*" in the list means any user can have the priviledge + help debug when things work. Putting a "*" in the list means any user can have the privilege of admin. </td> </tr> @@ -1604,7 +1604,7 @@ Apart from these, the following properties are also available, and may be useful #### Deploy <table class="table"> - <tr><th>Property Name</th><th>Default</th><th>Meaniing</th></tr> + <tr><th>Property Name</th><th>Default</th><th>Meaning</th></tr> <tr> <td><code>spark.deploy.recoveryMode</code></td> <td>NONE</td> @@ -1693,7 +1693,7 @@ Spark uses [log4j](http://logging.apache.org/log4j/) for logging. You can config # Overriding configuration directory To specify a different configuration directory other than the default "SPARK_HOME/conf", -you can set SPARK_CONF_DIR. Spark will use the the configuration files (spark-defaults.conf, spark-env.sh, log4j.properties, etc) +you can set SPARK_CONF_DIR. Spark will use the configuration files (spark-defaults.conf, spark-env.sh, log4j.properties, etc) from this directory. # Inheriting Hadoop Cluster Configuration |