es script_score java写法es script_score java写法 在Elasticsearch 中,script_score可以通过 Java API 进行编写。以下是一个简单的 Java 代码示例,用于在查询中使用script_score: import org.elasticsearch.action.search.SearchResponse; import org.elasticsearch.client.RequestOptions; import org.elasticsearch.client....
scoreScript.append("else {return 1.0}"); //**层层包装填充放到functions中: ScoreFunctionBuilder<ScriptScoreFunctionBuilder> labelScoreFunction = ScoreFunctionBuilders.scriptFunction(new Script(scoreScript.toString())); FunctionScoreQueryBuilder.FilterFunctionBuilder labelFunction=new FunctionScoreQueryBuilder....
scoreScript.append("else {return 1.0}"); //**层层包装填充放到functions中: ScoreFunctionBuilder<ScriptScoreFunctionBuilder> labelScoreFunction = ScoreFunctionBuilders.scriptFunction(new Script(scoreScript.toString())); FunctionScoreQueryBuilder.FilterFunctionBuilder labelFunction=new FunctionScoreQueryBuilder....
{"query": {"function_score": {//1.查询评分"query": { "match": {"province": "湖北省"} },//2.script_score评分函数//在 Elasticsearch中,所有文档得分都是正的 32 位浮点数//script_score函数允许包装另一个查询并自定义它的评分,而且可以使用脚本表达式对索引中数字类型的字段进行计算评分"script_s...
"title": "java" } }, "script_score": { "inline": "Math.sqrt(doc['price'].value/10)" } } } } 关于function_score 的更多详细内容请查看Elasticsearch function_score 查询最强详解。 indices query indices query 适用于需要在多个索引之间进行查询的场景,它允许指定一个索引名字列表和内部查询。indices...
Java构建查询语句: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 SearchSourceBuilder searchSourceBuilder=newSearchSourceBuilder();// 这样构造的查询条件,将不进行score计算,从而提高查询效率searchSourceBuilder.query(QueryBuilders.constantScoreQuery(QueryBuilders.termQuery("sect.keyword","明教"))); ...
"script_score": { "query": { "range": { "ts": { "from": 1577188652, "to": 1577188656, "include_lower": true, "include_upper": true, "boost": 1 } } }, "script": { "source": "1 / (1 + l2norm(params.vec, doc['vec']))", ...
ScriptPlugin脚本插件.会调用用户的脚本,其中主要是用在function_score查询中,使用自定义方法进行打分,我们熟知的painless脚本就是ScriptPlugin脚本 SearchPlugin查询插件,扩展Elasticsearch的查询功能,es 的search功能功能十分强大,有了SearchPlugin我们可以在search中增加更多查询方法,我们后续可能会在此基础上增加很多令人兴奋的...
自定义打分插件返回的分数与es 返回结果中的score不一致,导致doc A打分结果比doc B大,但是doc A在doc B后面。 来看下面一个case: query: -XPOST test_score/show/_search { "query": { "function_score": { "functions": [ { "script_score": { ...
GET /blog/_search { "query": { "function_score": { "query": { "match": { "title": "java入门" } }, "functions": [ { "script_score": { "script": { "params": { "access_num_ratio": 2.5 }, "lang": "painless", "source": "doc['access_num'].value * params.access_num_...