We’ve all been using Apache Solr for a long time but today we have a better, faster, more approachable and more easily scalable solution called Elasticsearch.
This session will present Elasticsearch in three acts:
Act I: The prologue
Setting up Elasticsearch. Here we’ll introduce elasticsearch and describe what it shares with Solr and also how it differs. We’ll look at how you create a cluster and take a look at how Elasticsearch deals with (and recovers from) failures.
Act II: The nitty and the gritty
In this section we’ll take a look at just how easy it is to create searches using the intuitive elasticsearch api. We’ll even review some of the advanced features that set it apart from solr (you haven’t lived until you’ve tried percolate).
Act III: Using Elasticsearch right now
Here we will look at the current state of various drupal integration projects and you can leverage them.
We’ll also take a brief look at how you can use kibana as a real-time dashboard for time-series data stored in elasticsearch.
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