filter和query示例
PUT /employee/_doc/1{ "address": { "country": "china", "province": "jiangsu", "city": "nanjing" }, "name": "tom", "age": 30, "join_date": "2016-01-01"}PUT /employee/_doc/2{ "address": { "country": "china", "province": "shanxi", "city": "xian" }, "name": "marry", "age": 35, "join_date": "2015-01-01"}搜索请求：年龄必须大于等于30，同时join_date必须是2016-01-01
GET /employee/_search{ "query": { "bool": { "must": [ { "match": { "join_date": "2016-01-01" } } ], "filter": { "range": { "age": { "gte": 30 } } } } }}{ "took" : 141, "timed_out" : false, "_shards" : { "total" : 1, "successful" : 1, "skipped" : 0, "failed" : 0 }, "hits" : { "total" : { "value" : 1, "relation" : "eq" }, "max_score" : 1.0, "hits" : [ { "_index" : "employee", "_type" : "_doc", "_id" : "1", "_score" : 1.0, "_source" : { "address" : { "country" : "china", "province" : "jiangsu", "city" : "nanjing" }, "name" : "tom", "age" : 30, "join_date" : "2016-01-01" } } ] }}filter与query对比大揭秘
filter：仅仅只是按照搜索条件过滤出需要的数据而已，比计算任何相关度分数，对相关度没有任何影响
query: 会计算每个document相对于搜索条件的相关度，并按照相关度进行排序
一般来说，如果是在进行搜索，需要将最匹配搜索条件的数据先返回，那么用query。如果只是要根据一些条件筛选出一部分数据，不关注其排序，那么用filter。