104 lines
3.4 KiB
Plaintext
104 lines
3.4 KiB
Plaintext
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[[script-processor]]
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=== Script Processor
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Allows inline and stored scripts to be executed within ingest pipelines.
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See <<modules-scripting-using, How to use scripts>> to learn more about writing scripts. The Script Processor
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leverages caching of compiled scripts for improved performance. Since the
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script specified within the processor is potentially re-compiled per document, it is important
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to understand how script caching works. To learn more about
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caching see <<modules-scripting-using-caching, Script Caching>>.
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[[script-options]]
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.Script Options
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[options="header"]
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|======
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| Name | Required | Default | Description
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| `lang` | no | "painless" | The scripting language
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| `id` | no | - | The stored script id to refer to
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| `source` | no | - | An inline script to be executed
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| `params` | no | - | Script Parameters
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include::common-options.asciidoc[]
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|======
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One of `id` or `source` options must be provided in order to properly reference a script to execute.
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You can access the current ingest document from within the script context by using the `ctx` variable.
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The following example sets a new field called `field_a_plus_b_times_c` to be the sum of two existing
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numeric fields `field_a` and `field_b` multiplied by the parameter param_c:
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[source,js]
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--------------------------------------------------
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{
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"script": {
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"lang": "painless",
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"source": "ctx.field_a_plus_b_times_c = (ctx.field_a + ctx.field_b) * params.param_c",
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"params": {
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"param_c": 10
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}
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}
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}
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--------------------------------------------------
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// NOTCONSOLE
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It is possible to use the Script Processor to manipulate document metadata like `_index` and `_type` during
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ingestion. Here is an example of an Ingest Pipeline that renames the index and type to `my_index` no matter what
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was provided in the original index request:
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[source,js]
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--------------------------------------------------
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PUT _ingest/pipeline/my_index
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{
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"description": "use index:my_index and type:_doc",
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"processors": [
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{
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"script": {
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"source": """
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ctx._index = 'my_index';
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ctx._type = '_doc';
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"""
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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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Using the above pipeline, we can attempt to index a document into the `any_index` index.
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[source,js]
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--------------------------------------------------
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PUT any_index/_doc/1?pipeline=my_index
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{
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"message": "text"
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[continued]
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The response from the above index request:
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[source,js]
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--------------------------------------------------
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{
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"_index": "my_index",
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"_type": "_doc",
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"_id": "1",
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"_version": 1,
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"result": "created",
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"_shards": {
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"total": 2,
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"successful": 1,
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"failed": 0
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},
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"_seq_no": 89,
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"_primary_term": 1,
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}
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--------------------------------------------------
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// TESTRESPONSE[s/"_seq_no": \d+/"_seq_no" : $body._seq_no/ s/"_primary_term" : 1/"_primary_term" : $body._primary_term/]
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In the above response, you can see that our document was actually indexed into `my_index` instead of
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`any_index`. This type of manipulation is often convenient in pipelines that have various branches of transformation,
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and depending on the progress made, indexed into different indices.
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