kibana-123/src/core_plugins/timelion/server/series_functions/es/index.js

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elastic

var _ = require('lodash');
var moment = require('moment');
var toMS = require('../../lib/to_milliseconds.js');
var Datasource = require('../../lib/classes/datasource');
var buildRequest = require('./lib/build_request');
import toSeriesList from './lib/agg_response_to_series_list';

module.exports = new Datasource('es', {
  args: [
    {
      name: 'q',
      types: ['string', 'null'],
      multi: true,
      help: 'Query in lucene query string syntax'
    },
    {
      name: 'metric',
      types: ['string', 'null'],
      multi: true,
      help: 'An elasticsearch single value metric agg, eg avg, sum, min, max or cardinality, followed by a field.' +
        ' Eg "sum:bytes", or just "count"'
    },
    {
      name: 'split',
      types: ['string', 'null'],
      multi: true,
      help: 'An elasticsearch field to split the series on and a limit. Eg, "hostname:10" to get the top 10 hostnames'
    },
    {
      name: 'index',
      types: ['string', 'null'],
      help: 'Index to query, wildcards accepted'
    },
    {
      name: 'timefield',
      types: ['string', 'null'],
      help: 'Field of type "date" to use for x-axis'
    },
    {
      name: 'kibana',
      types: ['boolean', 'null'],
      help: 'Respect filters on Kibana dashboards. Only has an effect when using on Kibana dashboards'
    },
    {
      name: 'interval', // You really shouldn't use this, use the interval picker instead
      types: ['string', 'null'],
      help: '**DO NOT USE THIS**. Its fun for debugging fit functions, but you really should use the interval picker'
    }
  ],
  help: 'Pull data from an elasticsearch instance',
  aliases: ['elasticsearch'],
  fn: function esFn(args, tlConfig) {

    var config = _.defaults(_.clone(args.byName), {
      q: '*',
      metric: ['count'],
      index: tlConfig.settings['timelion:es.default_index'],
      timefield: tlConfig.settings['timelion:es.timefield'],
      interval: tlConfig.time.interval,
      kibana: true,
      fit: 'nearest'
    });

    const { callWithRequest } = tlConfig.server.plugins.elasticsearch.getCluster('data');

    const body = buildRequest(config, tlConfig);

    return callWithRequest(tlConfig.request, 'search', body).then(function (resp) {
      if (!resp._shards.total) throw new Error('Elasticsearch index not found: ' + config.index);
      return {
        type: 'seriesList',
        list: toSeriesList(resp.aggregations, config)
      };
    });
  }
});