diff options
| author | Jongyoul Lee <jongyoul@gmail.com> | 2015-03-15 15:46:55 +0000 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2015-03-15 15:46:55 +0000 |
| commit | aa6536fa3c2ed1cac47abc79fc22e273f0814858 (patch) | |
| tree | 1a192770617cec47c8bfd7b2dde2c75ae58f317e /docs/running-on-mesos.md | |
| parent | 62ede5383f64b69570a66d46939638f4bf38d1b1 (diff) | |
| download | spark-aa6536fa3c2ed1cac47abc79fc22e273f0814858.tar.gz spark-aa6536fa3c2ed1cac47abc79fc22e273f0814858.tar.bz2 spark-aa6536fa3c2ed1cac47abc79fc22e273f0814858.zip | |
[SPARK-3619] Part 2. Upgrade to Mesos 0.21 to work around MESOS-1688
- MESOS_NATIVE_LIBRARY become deprecated
- Chagned MESOS_NATIVE_LIBRARY to MESOS_NATIVE_JAVA_LIBRARY
Author: Jongyoul Lee <jongyoul@gmail.com>
Closes #4361 from jongyoul/SPARK-3619-1 and squashes the following commits:
f1ea91f [Jongyoul Lee] Merge branch 'SPARK-3619-1' of https://github.com/jongyoul/spark into SPARK-3619-1
a6a00c2 [Jongyoul Lee] [SPARK-3619] Upgrade to Mesos 0.21 to work around MESOS-1688 - Removed 'Known issues' section
2e15a21 [Jongyoul Lee] [SPARK-3619] Upgrade to Mesos 0.21 to work around MESOS-1688 - MESOS_NATIVE_LIBRARY become deprecated - Chagned MESOS_NATIVE_LIBRARY to MESOS_NATIVE_JAVA_LIBRARY
0dace7b [Jongyoul Lee] [SPARK-3619] Upgrade to Mesos 0.21 to work around MESOS-1688 - MESOS_NATIVE_LIBRARY become deprecated - Chagned MESOS_NATIVE_LIBRARY to MESOS_NATIVE_JAVA_LIBRARY
Diffstat (limited to 'docs/running-on-mesos.md')
| -rw-r--r-- | docs/running-on-mesos.md | 5 |
1 files changed, 1 insertions, 4 deletions
diff --git a/docs/running-on-mesos.md b/docs/running-on-mesos.md index e509e4bf37..59a3e9d25b 100644 --- a/docs/running-on-mesos.md +++ b/docs/running-on-mesos.md @@ -110,7 +110,7 @@ cluster, or `mesos://zk://host:2181` for a multi-master Mesos cluster using ZooK The driver also needs some configuration in `spark-env.sh` to interact properly with Mesos: 1. In `spark-env.sh` set some environment variables: - * `export MESOS_NATIVE_LIBRARY=<path to libmesos.so>`. This path is typically + * `export MESOS_NATIVE_JAVA_LIBRARY=<path to libmesos.so>`. This path is typically `<prefix>/lib/libmesos.so` where the prefix is `/usr/local` by default. See Mesos installation instructions above. On Mac OS X, the library is called `libmesos.dylib` instead of `libmesos.so`. @@ -167,9 +167,6 @@ acquire. By default, it will acquire *all* cores in the cluster (that get offere only makes sense if you run just one application at a time. You can cap the maximum number of cores using `conf.set("spark.cores.max", "10")` (for example). -# Known issues -- When using the "fine-grained" mode, make sure that your executors always leave 32 MB free on the slaves. Otherwise it can happen that your Spark job does not proceed anymore. Currently, Apache Mesos only offers resources if there are at least 32 MB memory allocatable. But as Spark allocates memory only for the executor and cpu only for tasks, it can happen on high slave memory usage that no new tasks will be started anymore. More details can be found in [MESOS-1688](https://issues.apache.org/jira/browse/MESOS-1688). Alternatively use the "coarse-gained" mode, which is not affected by this issue. - # Running Alongside Hadoop You can run Spark and Mesos alongside your existing Hadoop cluster by just launching them as a |