1、es分页搜索语法
GET /bobotest/_search?from=0&size=3 #一页,3条数据{"took" : 0,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 7,"relation" : "eq"},"max_score" : 1.0,"hits" : [{"_index" : "bobotest","_type" : "_doc","_id" : "1","_score" : 1.0,"_source" : {"name" : "tian bo","desc" : "ke ai","age" : 11,"tags" : ["keai","kuaile"]}},{"_index" : "bobotest","_type" : "_doc","_id" : "5","_score" : 1.0,"_source" : {"name" : "lisi","desc" : "piaoliang de keai de xiaogege111","age" : 15,"tags" : "shuaige"}},{"_index" : "bobotest","_type" : "_doc","_id" : "6","_score" : 1.0,"_source" : {"name" : "lisi","desc" : "piaoliang de keai de xiaogege111","age" : 15,"tags" : "shuaige"}}]}}
2、deeping page原理

排序通过_score分数进行排序
在搜索过深时,就需要在coordinate node上保存大量的数据,并且对大量数据进行排序,排序之后,在取出对应的那一页,这个过程,即耗费网络带宽,耗费内存,耗费cpu,所以deeping page有很大的性能问题
