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Elastic Search Index & Search

Project description

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Elasticsearch Index & Search

Features

  • Index content for every SQLite database row in Elasticsearch
  • Search indexed content

Usage

  • Index every SQLite database row under a given directory (recursively)
esis index <directory>
  • Search for a given string in the indexed data
esis search <query>
  • Get information about the number of indexed documents
esis count
  • Delete all indexed documents
esis clean

Docker containers

Docker files are included in the source code to run esis and elasticsearch in their own containers. To build/pull the images needed to run esis and start the elasticsearch server, use the following commands:

docker-compose build
docker-compose start

After that, to launch esis in a container run:

docker-compose run esis <subcommand>

where <subcommand> is any of the subcommands in the previous section (index, search, count or clean).

Note:

  • If docker-compose run is executed too quickly, then a connection error might be returning meaning that elasticsearch is still initializing.
  • The entry point in the esis container uses the –host command line option to connect to the linked container where elasticsearch is running.
  • The user home directory is mounted in the esis container as /data. This must be taken into account when passing a directory to the index subcommand using a path in the container, not in the host machine.

History

0.1.0 (2015-03-23)

  • First release on PyPI.

0.2.0 (2015-05-14)

  • All documents indexed under the same index name.
  • Docker files allow using the tool in a container.

Project details


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