opensearch-docs-cn/_search-plugins/search-pipelines/filter-query-processor.md

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layout	title	nav_order	has_children	parent	grand_parent
default	Filter query	10	false	Search processors	Search pipelines

Filter query processor

The filter_query search request processor intercepts a search request and applies an additional query to the request, filtering the results. This is useful when you don't want to rewrite existing queries in your application but need additional filtering of the results.

Request fields

The following table lists all available request fields.

Field	Data type	Description
query	Object	A query in query domain-specific language (DSL). For a list of OpenSearch query types, see Query DSL. Required.
tag	String	The processor's identifier. Optional.
description	String	A description of the processor. Optional.
ignore_failure	Boolean	If true, OpenSearch ignores any failure of this processor and continues to run the remaining processors in the search pipeline. Optional. Default is false.

Example

The following example demonstrates using a search pipeline with a filter_query processor.

Setup

Create an index named my_index and index two documents, one public and one private:

POST /my_index/_doc/1
{
  "message": "This is a public message", 
  "visibility":"public"
}

{% include copy-curl.html %}

POST /my_index/_doc/2
{
  "message": "This is a private message", 
  "visibility": "private"
}

{% include copy-curl.html %}

Creating a search pipeline

The following request creates a search pipeline called my_pipeline with a filter_query request processor that uses a term query to return only public messages:

PUT /_search/pipeline/my_pipeline 
{
  "request_processors": [
    {
      "filter_query" : {
        "tag" : "tag1",
        "description" : "This processor is going to restrict to publicly visible documents",
        "query" : {
          "term": {
            "visibility": "public"
          }
        }
      }
    }
  ]
}

{% include copy-curl.html %}

Using a search pipeline

Search for documents in my_index without a search pipeline:

GET /my_index/_search

{% include copy-curl.html %}

The response contains both documents:

Response

{: .text-delta} ```json { "took" : 47, "timed_out" : false, "_shards" : { "total" : 1, "successful" : 1, "skipped" : 0, "failed" : 0 }, "hits" : { "total" : { "value" : 2, "relation" : "eq" }, "max_score" : 1.0, "hits" : [ { "_index" : "my_index", "_id" : "1", "_score" : 1.0, "_source" : { "message" : "This is a public message", "visibility" : "public" } }, { "_index" : "my_index", "_id" : "2", "_score" : 1.0, "_source" : { "message" : "This is a private message", "visibility" : "private" } } ] } } ```

To search with a pipeline, specify the pipeline name in the search_pipeline query parameter:

GET /my_index/_search?search_pipeline=my_pipeline

{% include copy-curl.html %}

The response contains only the document with public visibility:

Response

{: .text-delta} ```json { "took" : 19, "timed_out" : false, "_shards" : { "total" : 1, "successful" : 1, "skipped" : 0, "failed" : 0 }, "hits" : { "total" : { "value" : 1, "relation" : "eq" }, "max_score" : 0.0, "hits" : [ { "_index" : "my_index", "_id" : "1", "_score" : 0.0, "_source" : { "message" : "This is a public message", "visibility" : "public" } } ] } } ```