[[setup]]
== Getting Kibana Up and Running
You can set up Kibana and start exploring your Elasticsearch indices in minutes.
All you need is:

* Elasticsearch 2.1 or later
* A modern web browser - http://www.elastic.co/subscriptions/matrix#matrix_browsers[Supported Browsers].
* Information about your Elasticsearch installation:
** URL of the Elasticsearch instance you want to connect to.
** Which Elasticsearch indices you want to search.

NOTE: If your Elasticsearch installation is protected by http://www.elastic.co/overview/shield/[Shield] see
{shield}/kibana.html#using-kibana4-with-shield[Shield with Kibana 4] for additional setup instructions.

[float]
[[install]]
=== Install and Start Kibana

To get Kibana up and running:

. Download the https://www.elastic.co/downloads/kibana[Kibana 4 binary package] for your platform.
. Extract the `.zip` or `tar.gz` archive file.

// On Unix, you can instead run the package manager suited for your distribution.
//
// [float]
// include::kibana-repositories.asciidoc[]
//
After installing, run Kibana from the install directory: `bin/kibana` (Linux/MacOSX) or `bin\kibana.bat` (Windows).

That's it! Kibana is now running on port 5601.

[float]
[[kibana-dynamic-mapping]]
==== Kibana and Elasticsearch Dynamic Mapping
By default, Elasticsearch enables {ref}dynamic-mapping.html[dynamic mapping] for fields. Kibana needs dynamic mapping
to use fields in visualizations correctly, as well as to manage the `.kibana` index where saved searches,
visualizations, and dashboards are stored.

If your Elasticsearch use case requires you to disable dynamic mapping, you need to manually provide mappings for
fields that Kibana uses to create visualizations. You also need to manually enable dynamic mapping for the `.kibana`
index.

The following procedure assumes that the `.kibana` index does not already exist in Elasticsearch and that the
`index.mapper.dynamic` setting in `elasticsearch.yml` is set to `false`:

. Start Elasticsearch.
. Create the `.kibana` index with dynamic mapping enabled just for that index:
+
[source,shell]
PUT .kibana
{
	"index.mapper.dynamic": true
}
+
. Start Kibana and navigate to the web UI and verify that there are no error messages related to dynamic mapping.

[float]
[[connect]]
=== Connect Kibana with Elasticsearch
Before you can start using Kibana, you need to tell it which Elasticsearch indices you want to explore. The first time
you access Kibana, you are prompted to define an _index pattern_ that matches the name of one or more of your indices.
That's it. That's all you need to configure to start using Kibana. You can add index patterns at any time from the
<<settings-create-pattern,Settings tab>>.

TIP: By default, Kibana connects to the Elasticsearch instance running on `localhost`. To connect to a different
Elasticsearch instance, modify the Elasticsearch URL in the `kibana.yml` configuration file and restart Kibana. For
information about using Kibana with your production nodes, see <<production>>.

To configure the Elasticsearch indices you want to access with Kibana:

. Point your browser at port 5601 to access the Kibana UI. For example, `localhost:5601` or `http://YOURDOMAIN.com:5601`.
+
image:images/Start-Page.png[Kibana start page]
+
. Specify an index pattern that matches the name of one or more of your Elasticsearch indices. By default, Kibana
guesses that you're working with data being fed into Elasticsearch by Logstash. If that's the case, you can use the
default `logstash-*` as your index pattern. The asterisk (*) matches zero or more characters in an index's name. If
your Elasticsearch indices follow some other naming convention, enter an appropriate pattern. The "pattern" can also
simply be the name of a single index.
. Select the index field that contains the timestamp that you want to use to perform time-based comparisons. Kibana
reads the index mapping to list all of the fields that contain a timestamp. If your index doesn't have time-based data,
disable the *Index contains time-based events* option.
+
WARNING: Using event times to create index names is *deprecated* in this release of Kibana. Support for this functionality 
will be removed entirely in the next major Kibana release. Elasticsearch 2.1 includes sophisticated date parsing APIs that 
Kibana uses to determine date information, removing the need to specify dates in the index pattern name.
+
. Click *Create* to add the index pattern. This first pattern is automatically configured as the default.
When you have more than one index pattern, you can designate which one to use as the default from *Settings > Indices*.

Voila! Kibana is now connected to your Elasticsearch data. Kibana displays a read-only list of fields configured for
the matching index.

[float]
[[explore]]
=== Start Exploring your Data!
You're ready to dive in to your data:

* Search and browse your data interactively from the <<discover, Discover>> page.
* Chart and map your data from the <<visualize, Visualize>> page.
* Create and view custom dashboards from the <<dashboard, Dashboard>> page.

For a brief tutorial that explores these core Kibana concepts, take a look at the <<getting-started, Getting
Started>> page.
