elasticsearch定义了两种查询方式: 一.索引(index).type.document 相关语句 1.列出所有索引的状态 GET /_cat/indices?v health status index uuid pri rep docs.count docs.deleted store.size pri.store.size yellow open my_index SOgui_yKSXacTlMHQQht9w 5 1 5 0 14.3kb 14.3kb yellow open ba
--SQL查询每个表的字段数量select b.[name], count(*) As AllCount,ISNULL(ISNULL(sum(case when isnullable=0 then 1 end),null),null) as NotNullCountfrom syscolumns aINNER JOIN( select [id], [name] from [sysobjects] where [type] = 'u' ) AS b ON a.id = b.[id] GROUP b
记录常用的es 查询 聚合 GET _cat / indices GET / p_ext_develop / _mapping / g GET / p_ext_develop / _analyze { "field": "other_name_en", "text": "(3S)-N-Boc-2-azabicyclo[2.2.1]heptane-3-carboxylicacid;"} GET / hs2840 / _analy
SQLServer 查询数据死锁语句 我们可以通过以下SQL 语句用来查询,当前数据中存在的死锁语句,定位数据库出现死锁的根本原因. --每秒死锁数量 SELECT * FROM sys.dm_os_performance_counters WHERE counter_name LIKE 'Number of Deadlocksc%'; --查询当前阻塞 WITH CTE_SID ( BSID, SID, sql_handle ) AS ( SELECT blocking_session
在实际使用mysql的过程中,会遇到这样的问题,查询字段内容全部为中文内容的数据,对于刚用mysql的小伙伴可能就比较迷失了,不知道怎么使用,其实这个问题很简单,使用下面这个sql语句就可以了 SELECT 字段 FROM 表名 WHERE length(字段)!=char_length(字段)\G;SELECT * FROM news WHERE length(url)!=char_length(url)\G;
# es 查询更新操作# _*_ coding: utf-8 _*_ import time import datetime import pymysql from elasticsearch import Elasticsearch from urllib3.connectionpool import xrange # class EsClient(): es_host = "192.168.8.190" port = 9200 timeout = 15000 global inde