用户可以在script中访问变量_score ,还是上面的例子,我们给当前score加上“like”值: { "query" : { "script_score" : { "query" : { "match": { "message": "elasticsearch" } }, "script" : { "source" : "doc['likes'].value + _score " } } } } 1. 2. 3. 4. 5. 6. 7. 8. ...
script_score查询非常有用,例如:评分函数成本比较高且我们仅仅需要计算一组过滤后的文档的评分。 请求的样例: 下面的script_score查询设置每个返回的文档的评分等于my-int字段值除以10 GET /_search { "query": { "script_score": { "query": { "match": { "message": "elasticsearch" } }, "script": {...
应用到ES的query里,需要将script_score放到function_score里面,因为script_score是function_score的一种方式,具体到上面的例子就是这个样子的: { "from": 0, "size": 10, "query": { "function_score": { "query": { "bool": { "must": [ { "match": { "mTitle": { "query": "java", "minimu...
"script_score": { "query": { "match_all": {} }, "script": { "id": "my_stored_script", "params": { "my_field": "field_name", "my_factor": 2 } } } } } 2. Script Contexts Elasticsearch provides different script contexts depending on the operation being performed. Some common...
{"name":"B","sales":20,"visitors":20} {"index":{"_id":3}} {"name":"C","sales":30,"visitors":30} POST product_test/_search { "query": { "function_score": { "query": { "match_all": {} }, "script_score": { "script": { "source": "_score * (doc['sales']....
"function_score" : { "query" : { "filtered" : { "filter" : { "bool" : { "must" : { "match" : { "_all" : { "query" : "关键字", "type" : "boolean", "operator" : "AND" } } } } } } }, "functions" : [ { ...
"function_score" : { "query" : { "filtered" : { "filter" : { "bool" : { "must" : { "match" : { "_all" : { "query" : "关键字", "type" : "boolean", "operator" : "AND" } } } } } } }, "functions" : [ { ...
price是long类型而不是integer原因:es的mapping_type是由JSON分析器检测数据类型,而Json没有隐式类型转换(integer=>long or float=> double),所以dynamic mapping会选择一个比较宽的数据类型。 搜索方式 exact value 精确匹配 在倒排索引过程中,分词器会将field作为一个整体创建到索引中 ...
Function Score:对文档的算分进行处理 在Ingest Pipeline 中执行脚本 在Reindex API,Update By Query 时,对数据进行处理 通过Painless 脚本访问字段 上线文 语法Ingestion ctx.field_name Update ctx._source.field_name Search & Aggregation doc{“field_name”] ...
"source": "Math.log(_score * 2) + params['my_modifier']" }} 创建完成的脚本我们可以使用_scriptAPI查看脚本的内容GET _scripts/calculate-score 在检索中只需要如下指定脚本的ID即可进行检索时使用GET zfc-doc-000007/_search{ "query": { "script_score": { "query": { "match": { "message": ...