思路:先查询确认,后精准删除
假设我想删除title是”小明今晚真的不加班“这条记录,先查看一下现有的记录:程序员
(不加班很差吗?为何要删除呢?)json
tips:能够使用
match_phrase
精准查询,查询命令能够经过curl查询,也能够经过其余工具请求(其实道理都同样)
curl -X POST "http://192.168.16.65:9211/blog/_search" -H 'Content-Type: application/json' -d' { "query": { "match_phrase": { "title": "小明今晚真的不加班" } } } '
blog
为索引,_search
为es的查询指令,查询结果以下:app
{ "took": 13, "timed_out": false, "_shards": { "total": 3, "successful": 3, "skipped": 0, "failed": 0 }, "hits": { "total": { "value": 1, "relation": "eq" }, "max_score": 110.28655, "hits": [{ "_index": "blog", "_type": "_doc", "_id": "6a0d343fb629da2e2cdf6f4bf250af04", "_score": 110.28655, "_source": { "author": "程序员小明", "capture_time": 1583820020000, "content": "今晚能够终于能够王者荣耀带妹了", "title": "小明今晚真的不加班", "top_domain": "mynamecoder.com", "url": "http://blog.mynamecoder.com" } }] } }
能够看到数据中有一条符合条件的文档,咱们如今就要删除该文档。dom
删除title
为"小明今晚真的不加班"的文档(忍痛):curl
curl -X POST "http://192.168.16.65:9211/blog/_delete_by_query" -H 'Content-Type: application/json' -d' { "query":{ "match":{ "title":"小明今晚真的不加班" } } } '
tips: 使用_delete_by_query
时,必须指定索引,此处blog
就是索引,_delete_by_query
是elasticsearch的删除指令
删除结果:异步
{ "took" : 147, "timed_out": false, "deleted": 1, "batches": 1, "version_conflicts": 0, "noops": 0, "retries": { "bulk": 0, "search": 0 }, "throttled_millis": 0, "requests_per_second": -1.0, "throttled_until_millis": 0, "total": 119, "failures" : [ ] }
重点关注total
(查询到的条数)和deleted
(删除的总数)两个字段,最后不放心的话,能够再查询一下刚才那个文档是否还存在。elasticsearch
tips:es执行删除的时候es并非当即删除,虽然咱们再次查询已经找不到了,但es自身是将该文档先标记准备删除状态,一段时间后,异步删除。