Introduction
Concepts, assumptions and key differences to Solr and built-in Lucene indexing
Concepts, assumptions and key differences to Solr and built-in Lucene indexing
Establishing an Elasticsearch cluster connection
Using Kibana to search, aggregate and explore data indexed in Stroom
Stroom has multiple different types of data sources that can be queried by Stroom using Dashboards, Queries and Analytic Rules.
Stroom’s own Lucene based index for indexing and searching its stream data.
A Dashboard document is a way to combine multiple search queries, tables and visualisations in a configurable layout.
Using Elasticsearch as a data source.
A set of data sources for querying the inner workings of Stroom.
Stroom Query Language (StroomQL) is a query language for retrieving data in Stroom.
Searching the data held in Stroom using Dashboards, Queries, Views and Analytic Rules.
Using Stroom to leverage Elasticsearch for event indexing and perform queries using Stroom dashboards or external tools.
This document will show how to use Solr from within Stroom. A single Solr node will be used running in a docker container.