The Elasticsearch Curator Python API helps you manage time-series indices and snapshots.
Note
This documentation is for the Elasticsearch Curator Python API. Documentation for the Elasticsearch Curator script, which uses this API and is installed as part of the package is available on the the wiki.
The Elasticsearch Curator Python API is compatible with Elasticsearch versions 1.x through 2.0, and supports Python versions 2.6 and later.
import elasticsearch
import curator
client = elasticsearch.Elasticsearch()
curator.close_index(client, 'logstash-2014.08.16')
curator.disable_bloom_filter(client, 'logstash-2014.08.31')
curator.optimize_index(client, 'logstash-2014.08.31')
curator.delete(client, older_than=30, time_unit='days', prefix='logstash-')
The API methods fall into the following categories:
The Elasticsearch Curator Python API uses the standard logging library from Python. It inherits two loggers from elasticsearch-py: elasticsearch and elasticsearch.trace. Clients use the elasticsearch logger to log standard activity, depending on the log level. The elasticsearch.trace logger logs requests to the server in JSON format as pretty-printed curl commands that you can execute from the command line. The elasticsearch.trace logger is not inherited from the base logger and must be activated separately.
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