Export Data from ElasticSearch to CSV by Raw or Lucene Query (e.g. from Kibana). Works with ElasticSearch 6+ (OpenSearch works too) and makes use of ElasticSearch's Scroll API and Go's concurrency possibilities to work as fast as possible.
Download a pre-compiled binary for your operating system from here: https://github.com/pteich/elastic-query-export/releases You need just this binary. It works on OSX (Darwin), Linux and Windows.
es-query-export -c "http://localhost:9200" -i "logstash-*" --start="2019-04-04T12:15:00" --fields="RemoteHost,RequestTime,Timestamp,RequestUri,RequestProtocol,Agent" -q "RequestUri:*export*"| Flag | Default | |
|---|---|---|
-h --help |
show help | |
-v --version |
show version | |
-c --connect |
http://localhost:9200 | URI to ElasticSearch instance |
-i --index |
logs-* | name of index to use, use globbing characters * to match multiple |
-q --query |
Lucene query to match documents (same as in Kibana) | |
--fields |
define a comma separated list of fields to export | |
-o --outfile |
output.csv | name of output file |
-f --outformat |
csv | format of the output data: possible values csv, json, raw |
-r --rawquery |
optional raw ElasticSearch query JSON string | |
-s --start |
optional start date - Format: YYYY-MM-DDThh:mm:ss.SSSZ. or any other Elasticsearch default format | |
-e --end |
optional end date - Format: YYYY-MM-DDThh:mm:ss.SSSZ. or any other Elasticsearch default format | |
--timefield |
optional time field to use, default to @timestamp | |
--verifySSL |
true | optional define how to handle SSL certificates |
--user |
optional username | |
--pass |
optional password | |
--size |
1000 | size of the scroll window, the more the faster the export works but it adds more pressure on your nodes |
--trace |
false | enable trace mode to debug queries send to ElasticSearch |
csv- all or selected fields separated by comma (,) with field names in the first linejson- all or selected fields as JSON objects, one per lineraw- JSON dump of matching documents including id, index and _source field containing the document data. One document as JSON object per line.