@cdate := DATE_ADD( @cdate, INTERVAL - 1 DAY ) `date`,0 AS `sum` FROM( SELECT @cdate := DATE_ADD( CURDATE( ), INTERVAL + 1 DAY ) FROM shopping_user ) t1 WHERE@cdate > ‘2017-08-03‘ 选择一统计时间开始时间，我的开始时间选择的是2017-08-03，结束时间默认是当前日期。 2.将自己要统计的数据，按我们自己的要求写出来，当然此时，肯定显示的都是有数据的记录统计结果： 我这是查询的shopping_hibitRecord 按照...
@cdate: = date_add(@cdate, interval - 1 day) as date_str, 0 as date_count FROM(SELECT @cdate: = date_add(CURDATE(), interval + 1 day) from t_table1) t12、业务统计查询也按上述日期查询给统计日期和数量设置别名SELECTFROM_UNIXTIME(m.sdate, ‘%Y-%m-%d‘) as date_str, count( * ) as date_count from t_table1 as m group by FROM_UNIXTIME(m.sdate, ‘%Y-%m-%d‘)3、把两个查询用左连接合起，没数量的日期填0SELECT ...
db_name; -- 分析表 ANALYZE TABLE table_name; -- 查看表信息 select * from information_schema.TABLES where TABLE_SCHEMA = ‘db_name‘ and TABLE_NAME = ‘table_name‘ limit 10; -- 查看索引 SHOW INDEX FROM table_name; https://blog.csdn.net/boshuzhang/article/details/65632708 https://help.aliyun.com/document_detail/98819.html?spm=a2c4g.11186623.6.695.259b4c073n14a5 https://help.aliyun.com/knowledg...
我们在用Mysql抽取数据时候，经常需要按照天、周、月等不同的粒度对数据进行分组统计。而我们的时间可能是“2017/12/5 0:0:0”这种准确的时间。所以在进行分组之前我们需要对时间进行一下处理。 DATE_FORMAT是MySQL内置的一个函数，作用是以不同的格式显示日期/时间数据。具体的语法如下： DATE_FORMAT(date,format)，其中 date：合法的日期。format：规定日期/时间的输出格式，其中format可使用的格式见文末链接。 下面我们通过具...
success_time,query_time,order_no from pro_return_plan t where t.success_time in ( SELECT max(success_time) FROM pro_return_plan WHERE 1=1 AND bill_status=‘2‘ AND success_time IS TRUE AND order_no IN(‘20190416105437690‘,‘20190510193141046‘,‘20190511084814300‘,‘20190703191848850‘,‘20190703193148544‘) GROUP BY order_no ORDER BY success_time DESC )按照success_time分组并保留最新时间的项mysq...
最近有个需求，实时统计pv,uv，结果按照date,hour,pv,uv来展示，按天统计，第二天重新统计，当然了实际还需要按照类型字段分类统计pv,uv,比如按照date,hour,pv,uv,type来展示。这里介绍最基本的pv,uv的展示。id uv pv date hour1 155599 306053 2018-07-27 18关于什么是pv,uv，可以参见这篇博客:https://blog.csdn.net/petermsh/article/details/78652246 1、项目流程日志数据从flume采集过来，落到hdfs供其它离线业务使用，也会si...
= pr.projectMdidLEFT JOIN Organization city ON city.mdid = pr.bizOrgMdidLEFT JOIN Organization org ON org.mdid = city.parentMdidLEFT JOIN ( SELECT w.stageMdid stageMdid, count( * ) wcount FROM worker w WHERE w.deleteflag = 0 GROUP BY w.stageMdid ) ws ON st.stageMdid = ws.stageMdid WHEREst.stageMdid IN ( SELECT w.stageMdid FROM worker w WHERE w.deleteflag = 0 GROUP BY w.stageMdid HAVING COUNT( * )...
select distinct b.TABLE_SCHEMA,b.TABLE_NAME , b.INDEX_NAME , a.count_starfrom performance_schema.table_io_waits_summary_by_index_usage a ,INFORMATION_SCHEMA.STATISTICS bwhere a.OBJECT_SCHEMA = b.TABLE_SCHEMA and a.INDEX_NAME = b.INDEX_NAMEand a.OBJECT_NAME=b.TABLE_NAME and a.OBJECT_SCHEMA =b.INDEX_SCHEMAand b.CARDINALITY > 0and b.TABLE_NAME = ‘wu_user‘; http://codercoder.cn/index.php/2019/09/m...
MySQL统计信息是指数据库通过采样、统计出来的表、索引的相关信息，例如，表的记录数、聚集索引page个数、字段的Cardinality....。MySQL在生成执行计划时,需要根据索引的统计信息进行估算,计算出最低代价（或者说是最小开销）的执行计划.MySQL支持有限的索引统计信息，因存储引擎不同而统计信息收集的方式也不同. MySQL官方关于统计信息的概念介绍几乎等同于无，不过对于已经接触过其它类型数据库的同学而言，理解这个概念应该不在...
*) AS totalCount FROM dw_audit WHERE data_level = #{dataLevel} AND task_type = #{taskType}) AS totalTable,(SELECT COUNT(*) AS errorCount FROM dw_audit WHERE data_level = #{dataLevel} AND task_type = #{taskType} AND task_state = #{taskState}) AS errorTable2,带小数点的百分比 CONCAT(ROUND(a.cnt / b.cntSum * 100, 2),‘‘,‘%‘)MySQL统计百分比结果标签：ring keyword round string tab style fr...
-*- coding: utf-8 # File : start.py # Author : baoshan import json import pymysql import cx_Oracle import pandas as pddef main():dataSum = []connInfo = "connInfo.json" # 配置文件名称 connFile = open(connInfo, ‘r‘, encoding=‘utf8‘)connRecords = connFile.read(102400) #一次读取多个字节connRecordsjs = json.loads(connRecords)for single in connRecordsjs:if "mysql" == single.get("dbtype"):conn = p...
mysql 按周/月/年统计数据分别如下 select DATE_FORMAT(UPDATE_TIME,‘%Y%u‘) weeks,count(UPDATE_TIME) count from table_name group by weeks; select DATE_FORMAT(UPDATE_TIME,‘%Y%m%d‘) days,count(UPDATE_TIME) count from table_name group by days; select DATE_FORMAT(UPDATE_TIME,‘%Y%m‘) months,count(UPDATE_TIME) count from table_name group by months; 部分原数据为： 统计结果如下： 1）按周 2）按月 ...
file:mysql_rows.sh 运行：sh mysql_rows.sh 库名 脚本内容： #!/bin/bash user=...pwd=... ip=... port=... tb_name=`mysql -u $user -p$pwd -h$ip -P$port -e "select table_name from information_schema.tables where table_schema=$1" |awk ‘NR>1{print $1}‘`>/date/$1.logfor name in $tb_name ;dotbl_count=`mysql -u $user -p$pwd -h$ip -P$port -e "select SQL_CALC_FOUND_ROWS 1 FROM $1.$name limit 1;SELECT found...
"SELECT count(*) as totalNum from beauty_photos as p left join beauty_user as u on p.uid=u.id where p.status=1 and p.is_delete=0 and u.is_delete=0 group by p.uid"; $count = \Yii::$app->db4->createCommand($sql)->queryAll(); mysql 根据where条件，分组，联表等统计数据条数标签：font 方法 sql yii com man sele create 遇到 本文系统来源：https://www.cnblogs.com/bneglect/p/12148413.html
业务背景 统计各机型最近7天bug数量来支撑一张图表： sql需要查询最近七天数据并按每天和机型进行分组 思路 1. 查询最近7天的数据 select * from table where DATE_SUB(CURDATE(), INTERVAL 7 DAY) <= date(column_time);拓展 查询最近一天的数据 select * from table where to_days(column_time) = to_days(now()); select * from table where date(column_time) = curdate();?查询最近一个月的数据 select * from table?where DA...