81 lines
2.6 KiB
Plaintext
81 lines
2.6 KiB
Plaintext
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[[painless-context-examples]]
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=== Context examples
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To run the examples, index the sample seat data into Elasticsearch. The examples
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must be run sequentially to work correctly.
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. Download the
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https://download.elastic.co/demos/painless/contexts/seats.json[seat data]. This
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data set contains booking information for a collection of plays. Each document
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represents a single seat for a play at a particular theater on a specific date
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and time.
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+
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Each document contains the following fields:
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+
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`theatre` ({ref}/keyword.html[`keyword`])::
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The name of the theater the play is in.
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`play` ({ref}/text.html[`text`])::
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The name of the play.
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`actors` ({ref}/text.html[`text`])::
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A list of actors in the play.
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`row` ({ref}/number.html[`integer`])::
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The row of the seat.
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`number` ({ref}/number.html[`integer`])::
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The number of the seat within a row.
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`cost` ({ref}/number.html[`double`])::
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The cost of the ticket for the seat.
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`sold` ({ref}/boolean.html[`boolean`])::
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Whether or not the seat is sold.
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`datetime` ({ref}/date.html[`date`])::
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The date and time of the play as a date object.
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`date` ({ref}/keyword.html[`keyword`])::
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The date of the play as a keyword.
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`time` ({ref}/keyword.html[`keyword`])::
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The time of the play as a keyword.
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. {defguide}/running-elasticsearch.html[Start] Elasticsearch. Note these
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examples assume Elasticsearch and Kibana are running locally. To use the Console
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editor with a remote Kibana instance, click the settings icon and enter the
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Console URL. To submit a cURL request to a remote Elasticsearch instance, edit
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the request URL.
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. Create {ref}/mapping.html[mappings] for the sample data:
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[source,js]
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----
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PUT /seats
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{
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"mappings": {
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"seat": {
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"properties": {
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"theatre": { "type": "keyword" },
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"play": { "type": "text" },
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"actors": { "type": "text" },
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"row": { "type": "integer" },
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"number": { "type": "integer" },
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"cost": { "type": "double" },
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"sold": { "type": "boolean" },
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"datetime": { "type": "date" },
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"date": { "type": "keyword" },
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"time": { "type": "keyword" }
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}
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}
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}
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}
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----
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// CONSOLE
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. Run the <<painless-ingest-processor-context, ingest processor context>>
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example. This sets up a script ingest processor used on each document as the
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seat data is indexed.
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. Index the seat data:
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+
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[source,js]
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----
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curl -XPOST localhost:9200/seats/seat/_bulk?pipeline=seats -H "Content-Type: application/x-ndjson" --data-binary "@/<local-file-path>/seats.json"
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----
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// NOTCONSOLE
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