251 lines
8.7 KiB
Plaintext
251 lines
8.7 KiB
Plaintext
[[java-search]]
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== Search API
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The search API allows one to execute a search query and get back search hits
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that match the query. It can be executed across one or more indices and
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across one or more types. The query can be provided using the <<java-query-dsl,query Java API>>.
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The body of the search request is built using the `SearchSourceBuilder`. Here is an example:
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[source,java]
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--------------------------------------------------
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import org.elasticsearch.action.search.SearchResponse;
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import org.elasticsearch.action.search.SearchType;
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import org.elasticsearch.index.query.QueryBuilders.*;
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--------------------------------------------------
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[source,java]
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--------------------------------------------------
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SearchResponse response = client.prepareSearch("index1", "index2")
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.setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
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.setQuery(QueryBuilders.termQuery("multi", "test")) // Query
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.setPostFilter(QueryBuilders.rangeQuery("age").from(12).to(18)) // Filter
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.setFrom(0).setSize(60).setExplain(true)
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.get();
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--------------------------------------------------
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Note that all parameters are optional. Here is the smallest search call
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you can write:
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[source,java]
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--------------------------------------------------
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// MatchAll on the whole cluster with all default options
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SearchResponse response = client.prepareSearch().get();
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--------------------------------------------------
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NOTE: Although the Java API defines the additional search types QUERY_AND_FETCH and
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DFS_QUERY_AND_FETCH, these modes are internal optimizations and should not
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be specified explicitly by users of the API.
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For more information on the search operation, check out the REST
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{ref}/search.html[search] docs.
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[[java-search-scrolling]]
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=== Using scrolls in Java
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Read the {ref}/search-request-scroll.html[scroll documentation]
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first!
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[source,java]
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--------------------------------------------------
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import static org.elasticsearch.index.query.QueryBuilders.*;
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QueryBuilder qb = termQuery("multi", "test");
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SearchResponse scrollResp = client.prepareSearch(test)
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.addSort(FieldSortBuilder.DOC_FIELD_NAME, SortOrder.ASC)
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.setScroll(new TimeValue(60000))
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.setQuery(qb)
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.setSize(100).get(); //max of 100 hits will be returned for each scroll
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//Scroll until no hits are returned
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do {
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for (SearchHit hit : scrollResp.getHits().getHits()) {
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//Handle the hit...
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}
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scrollResp = client.prepareSearchScroll(scrollResp.getScrollId()).setScroll(new TimeValue(60000)).execute().actionGet();
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} while(scrollResp.getHits().getHits().length != 0); // Zero hits mark the end of the scroll and the while loop.
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--------------------------------------------------
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[[java-search-msearch]]
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=== MultiSearch API
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See {ref}/search-multi-search.html[MultiSearch API Query]
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documentation
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[source,java]
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--------------------------------------------------
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SearchRequestBuilder srb1 = client
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.prepareSearch().setQuery(QueryBuilders.queryStringQuery("elasticsearch")).setSize(1);
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SearchRequestBuilder srb2 = client
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.prepareSearch().setQuery(QueryBuilders.matchQuery("name", "kimchy")).setSize(1);
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MultiSearchResponse sr = client.prepareMultiSearch()
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.add(srb1)
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.add(srb2)
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.get();
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// You will get all individual responses from MultiSearchResponse#getResponses()
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long nbHits = 0;
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for (MultiSearchResponse.Item item : sr.getResponses()) {
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SearchResponse response = item.getResponse();
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nbHits += response.getHits().getTotalHits().value;
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}
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--------------------------------------------------
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[[java-search-aggs]]
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=== Using Aggregations
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The following code shows how to add two aggregations within your search:
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[source,java]
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--------------------------------------------------
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SearchResponse sr = client.prepareSearch()
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.setQuery(QueryBuilders.matchAllQuery())
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.addAggregation(
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AggregationBuilders.terms("agg1").field("field")
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)
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.addAggregation(
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AggregationBuilders.dateHistogram("agg2")
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.field("birth")
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.dateHistogramInterval(DateHistogramInterval.YEAR)
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)
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.get();
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// Get your facet results
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Terms agg1 = sr.getAggregations().get("agg1");
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Histogram agg2 = sr.getAggregations().get("agg2");
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--------------------------------------------------
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See <<java-aggs,Aggregations Java API>>
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documentation for details.
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[[java-search-terminate-after]]
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=== Terminate After
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The maximum number of documents to collect for each shard, upon reaching which the query execution will terminate early.
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If set, you will be able to check if the operation terminated early by asking for `isTerminatedEarly()` in the
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`SearchResponse` object:
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[source,java]
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--------------------------------------------------
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SearchResponse sr = client.prepareSearch(INDEX)
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.setTerminateAfter(1000) <1>
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.get();
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if (sr.isTerminatedEarly()) {
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// We finished early
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}
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--------------------------------------------------
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<1> Finish after 1000 docs
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[[java-search-template]]
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=== Search Template
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See {ref}/search-template.html[Search Template] documentation
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Define your template parameters as a `Map<String,Object>`:
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[source,java]
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--------------------------------------------------
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Map<String, Object> template_params = new HashMap<>();
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template_params.put("param_gender", "male");
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--------------------------------------------------
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You can use your stored search templates in `config/scripts`.
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For example, if you have a file named `config/scripts/template_gender.mustache` containing:
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[source,js]
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--------------------------------------------------
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{
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"query" : {
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"match" : {
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"gender" : "{{param_gender}}"
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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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Create your search template request:
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[source,java]
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--------------------------------------------------
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SearchResponse sr = new SearchTemplateRequestBuilder(client)
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.setScript("template_gender") <1>
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.setScriptType(ScriptService.ScriptType.FILE) <2>
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.setScriptParams(template_params) <3>
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.setRequest(new SearchRequest()) <4>
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.get() <5>
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.getResponse(); <6>
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--------------------------------------------------
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<1> template name
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<2> template stored on disk in `gender_template.mustache`
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<3> parameters
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<4> set the execution context (ie. define the index name here)
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<5> execute and get the template response
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<6> get from the template response the search response itself
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You can also store your template in the cluster state:
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[source,java]
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--------------------------------------------------
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client.admin().cluster().preparePutStoredScript()
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.setScriptLang("mustache")
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.setId("template_gender")
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.setSource(new BytesArray(
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"{\n" +
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" \"query\" : {\n" +
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" \"match\" : {\n" +
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" \"gender\" : \"{{param_gender}}\"\n" +
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" }\n" +
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" }\n" +
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"}")).get();
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--------------------------------------------------
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To execute a stored templates, use `ScriptService.ScriptType.STORED`:
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[source,java]
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--------------------------------------------------
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SearchResponse sr = new SearchTemplateRequestBuilder(client)
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.setScript("template_gender") <1>
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.setScriptType(ScriptType.STORED) <2>
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.setScriptParams(template_params) <3>
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.setRequest(new SearchRequest()) <4>
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.get() <5>
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.getResponse(); <6>
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--------------------------------------------------
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<1> template name
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<2> template stored in the cluster state
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<3> parameters
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<4> set the execution context (ie. define the index name here)
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<5> execute and get the template response
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<6> get from the template response the search response itself
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You can also execute inline templates:
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[source,java]
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--------------------------------------------------
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sr = new SearchTemplateRequestBuilder(client)
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.setScript("{\n" + <1>
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" \"query\" : {\n" +
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" \"match\" : {\n" +
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" \"gender\" : \"{{param_gender}}\"\n" +
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" }\n" +
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" }\n" +
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"}")
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.setScriptType(ScriptType.INLINE) <2>
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.setScriptParams(template_params) <3>
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.setRequest(new SearchRequest()) <4>
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.get() <5>
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.getResponse(); <6>
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--------------------------------------------------
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<1> template's body
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<2> template is passed inline
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<3> parameters
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<4> set the execution context (ie. define the index name here)
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<5> execute and get the template response
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<6> get from the template response the search response itself
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