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