Have time-series indices in Elasticsearch? This is the tool for you!
There are two branches for development - master and 0.6. Master branch is
used to track all the changes for Elasticsearch 1.0 and beyond whereas 0.6
tracks Elasticsearch 0.90 and the corresponding elasticsearch-py version.
Releases with major version 1 (1.X.Y) are to be used with Elasticsearch 1.0 and later, 0.6 releases are meant to work with Elasticsearch 0.90.X.
Install using pip
pip install elasticsearch-curator
See curator --help for usage specifics.
The default values for host, port and prefix are:
--host localhost
--port 9200
-t (or --timeout) 30
-C (or --curation-style) time
-T (or --time-unit) days
-p (or --prefix) logstash-
-s (or --separator) .
--max_num_segments 2
If your values match these you do not need to include them. The prefix should be everything before the date string.
Close indices older than 14 days, delete indices older than 30 days (See elastic#1):
curator --host my-elasticsearch -d 30 -c 14
Keep 14 days of logs in elasticsearch:
curator --host my-elasticsearch -d 14
Disable bloom filter for indices older than 2 days, close indices older than 14 days, delete indices older than 30 days:
curator --host my-elasticsearch -b 2 -c 14 -d 30
Optimize (Lucene forceMerge) indices older than 2 days to 1 segment per shard:
curator --host my-elasticsearch -t 3600 -o 2 --max_num_segments 1
Keep 1TB of data in elasticsearch, show debug output:
curator --host my-elasticsearch -C space -g 1024 -D
Note that when using size to determine which indices to keep having closed indices will cause inaccuracies since they cannot be added to the overall size. This is only an issue if you have closed some indices that are not your oldest ones.
Dry run of above:
curator --host my-elasticsearch -C space -g 1024 -D -n
If you need to close and delete based on different criteria, please use separate command lines, e.g.
curator --host my-elasticsearch -C space -g 1024
curator --host my-elasticsearch -c 15
When using optimize the current behavior is to wait until the optimize operation is complete before continuing. With large indices, this can result in timeouts with the default 30 seconds. It is recommended that you increase the timeout to at least 3600 seconds, if not more.
- fork the repo
- make changes in your fork
- run tests
- send a pull request!
To run the test suite just run python setup.py tests.
When changing code, contributing new code or fixing a bug please make sure you include tests in your PR (or mark it as without tests so that someone else can pick it up to add the tests). When fixing a bug please make sure the test actually tests the bug - it should fail without the code changes and pass after they're applied (it can still be one commit of course).
The tests will try to connect to your local elasticsearch instance and run
integration tests against it. This will delete all the data stored there! You
can use the env variable TEST_ES_SERVER to point to a different instance (for
example 'otherhost:9203').