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authorAndy Konwinski <andyk@berkeley.edu>2012-09-12 16:05:19 -0700
committerAndy Konwinski <andyk@berkeley.edu>2012-09-12 16:06:18 -0700
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@@ -9,7 +9,7 @@ Spark is configured primarily through the `conf/spark-env.sh` script. This scrip
Inside this script, you can set several environment variables:
* `SCALA_HOME` to point to your Scala installation.
-* `MESOS_NATIVE_LIBRARY` if you are [[running on a Mesos cluster|Running Spark on Mesos]].
+* `MESOS_NATIVE_LIBRARY` if you are [running on a Mesos cluster]({{HOME_PATH}}running-on-mesos.html).
* `SPARK_MEM` to set the amount of memory used per node (this should be in the same format as the JVM's -Xmx option, e.g. `300m` or `1g`)
* `SPARK_JAVA_OPTS` to add JVM options. This includes system properties that you'd like to pass with `-D`.
* `SPARK_CLASSPATH` to add elements to Spark's classpath.
@@ -21,4 +21,4 @@ The most important thing to set first will probably be the memory (`SPARK_MEM`).
## Logging Configuration
-Spark uses [[log4j|http://logging.apache.org/log4j/]] for logging. You can configure it by adding a `log4j.properties` file in the `conf` directory. One way to start is to copy the existing `log4j.properties.template` located there.
+Spark uses [log4j](http://logging.apache.org/log4j/) for logging. You can configure it by adding a `log4j.properties` file in the `conf` directory. One way to start is to copy the existing `log4j.properties.template` located there.