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The "include_type_name" parameter was temporarily introduced in #37285 to facilitate moving the default parameter setting to "false" in many places in the documentation code snippets. Most of the places can simply be reverted without causing errors. In this change I looked for asciidoc files that contained the "include_type_name=true" addition when creating new indices but didn't look likey they made use of the "_doc" type for mappings. This is mostly the case e.g. in the analysis docs where index creating often only contains settings. I manually corrected the use of types in some places where the docs still used an explicit type name and not the dummy "_doc" type.
79 lines
2.5 KiB
Plaintext
79 lines
2.5 KiB
Plaintext
[[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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+
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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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"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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