diff options
author | Patrick Wendell <pwendell@gmail.com> | 2013-12-07 22:20:14 -0800 |
---|---|---|
committer | Patrick Wendell <pwendell@gmail.com> | 2013-12-07 22:31:44 -0800 |
commit | 41c60b337abc4ddd92fe5d4b9337156f3bf8b089 (patch) | |
tree | 4a5704327cabe1c5cf7c4e6ce7e9f7a25270fc89 /docs/job-scheduling.md | |
parent | 6494d62fe40ac408b14de3f0f3de8ec896a0ae6e (diff) | |
download | spark-41c60b337abc4ddd92fe5d4b9337156f3bf8b089.tar.gz spark-41c60b337abc4ddd92fe5d4b9337156f3bf8b089.tar.bz2 spark-41c60b337abc4ddd92fe5d4b9337156f3bf8b089.zip |
Various broken links in documentation
Diffstat (limited to 'docs/job-scheduling.md')
-rw-r--r-- | docs/job-scheduling.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/job-scheduling.md b/docs/job-scheduling.md index d304c5497b..dbcb9ae343 100644 --- a/docs/job-scheduling.md +++ b/docs/job-scheduling.md @@ -91,7 +91,7 @@ The fair scheduler also supports grouping jobs into _pools_, and setting differe (e.g. weight) for each pool. This can be useful to create a "high-priority" pool for more important jobs, for example, or to group the jobs of each user together and give _users_ equal shares regardless of how many concurrent jobs they have instead of giving _jobs_ equal shares. This approach is modeled after the -[Hadoop Fair Scheduler](http://hadoop.apache.org/docs/stable/fair_scheduler.html). +[Hadoop Fair Scheduler](http://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/FairScheduler.html). Without any intervention, newly submitted jobs go into a _default pool_, but jobs' pools can be set by adding the `spark.scheduler.pool` "local property" to the SparkContext in the thread that's submitting them. |