mysql 常用语句

一，设置表自增id从1开始

alter table papa_group(表名称) AUTO_INCREMENT=1

二，查看每个字段的重复次数

select drugLicense,count(*) as count from drug_instruction20181211 group by drugLicense having count>1;

三，去重复

1、查找表中多余的重复记录，重复记录是根据单个字段（peopleId）来判断
SELECT * FROM people WHERE peopleId IN ( SELECT peopleId FROM people GROUP BY peopleId HAVING count(peopleId) > 1 )


2、删除表中多余的重复记录，重复记录是根据单个字段（peopleId）来判断，只留有rowid最小的记录
DELETE FROM people WHERE peopleName IN (
SELECT
*
FROM
( SELECT peopleName FROM people GROUP BY peopleName HAVING count(peopleName) > 1 ) a
) AND peopleId NOT IN (
SELECT
*
FROM
( SELECT min(peopleId) FROM people GROUP BY peopleName HAVING count(peopleName) > 1 ) b
)

3、查找表中多余的重复记录（多个字段）
SELECT
*
FROM
drug_bid_bj
WHERE
(drug_bid_bj.peopleId, drug_bid_bj.seq) IN (
SELECT
peopleId,
seq
FROM
drug_bid_bj
GROUP BY
peopleId,
seq
HAVING
count(*) > 1
)

4、删除表中多余的重复记录（多个字段），只留有rowid最小的记录
DELETE FROM vitae WHERE (vitae.peopleId, vitae.seq) IN (
SELECT
*
FROM( SELECT peopleId, seq FROM vitae GROUP BY peopleId, seq HAVING count(*) > 1 ) a
) AND rowid NOT IN (
SELECT
*
FROM( SELECT min(rowid) FROM vitae GROUP BY peopleId, seq HAVING count(*) > 1 ) b
)

5、查找表中多余的重复记录（多个字段），不包含rowid最小的记录
SELECT * FROM vitae a WHERE (a.peopleId, a.seq) IN ( SELECT peopleId, seq FROM vitae GROUP BY peopleId, seq HAVING count(*) > 1 ) AND rowid NOT IN ( SELECT min(rowid) FROM vitae GROUP BY peopleId, seq HAVING count(*) > 1 )

6.消除一个字段的左边的第一位：
UPDATE tableName SET [ Title ]= RIGHT ([ Title ],(len([ Title ]) - 1)) WHERE Title LIKE '村%'

7.消除一个字段的右边的第一位：
UPDATE tableName SET [ Title ]= LEFT ([ Title ],(len([ Title ]) - 1)) WHERE Title LIKE '%村'

8.假删除表中多余的重复记录（多个字段），不包含rowid最小的记录
UPDATE vitae SET ispass =- 1 WHERE peopleId IN ( SELECT peopleId FROM vitae GROUP BY peopleId

四，中标数据去重

DELETE
FROM
	drug_bid
WHERE
	(
		drug_bid.province,
		drug_bid.drugName,
		drug_bid.bidPrice,
		drug_bid.manufacturerName,
		drug_bid.specification,
		drug_bid.dosageForm,
		drug_bid.drugLicense
	) IN (
		SELECT
			*
		FROM
			(
				SELECT
					province,
					drugName,
					bidPrice,
					manufacturerName,
					specification,
					dosageForm,
					drugLicense
				FROM
					drug_bid
				GROUP BY
					province,
					drugName,
					bidPrice,
					manufacturerName,
					specification,
					dosageForm,
					drugLicense
				HAVING
					count(*) > 1
			) a
	)
AND id NOT IN (
	SELECT
		*
	FROM
		(
			SELECT
				max(id)
			FROM
				drug_bid
			GROUP BY
				province,
				drugName,
				bidPrice,
				manufacturerName,
				specification,
				dosageForm,
				drugLicense
			HAVING
				count(*) > 1
		) b
)

五，某个字段的出现次数

SELECT
COUNT(province),
province
FROM
drug_bid20180919
WHERE
id > 164842
GROUP BY
province

六，查询数据库 "mammothcode" 下所有表名以及表注释

/* 查询数据库 ‘mammothcode’ 所有表注释 */
SELECT TABLE_NAME,TABLE_COMMENT FROM information_schema.TABLES WHERE table_schema='mammothcode';

七，要查询表字段的注释

/* 查询数据库 ‘mammothcode’ 下表 ‘t_adminuser’ 所有字段注释 */
SELECT COLUMN_NAME,column_comment FROM INFORMATION_SCHEMA.Columns WHERE table_name='t_adminuser' AND table_schema='mammothcode'

八，一次性查询数据库 "mammothcode" 下表注释以及对应表字段注释

SELECT t.TABLE_NAME,t.TABLE_COMMENT,c.COLUMN_NAME,c.COLUMN_TYPE,c.COLUMN_COMMENT FROM information_schema.TABLES t,INFORMATION_SCHEMA.Columns c WHERE c.TABLE_NAME=t.TABLE_NAME AND t.`TABLE_SCHEMA`='mammothcode'

九，使用存储过程，对上面sql语句进行存储，sql如下：

DELIMITER//  
DROP PROCEDURE IF EXISTS findComment//
CREATE PROCEDURE findComment (dbName VARCHAR(50))
BEGIN  
   DECLARE stmt VARCHAR(65535);  
   #如果用户名长度大于0
   IF LENGTH(dbName)>0 THEN
     BEGIN
       SET @sqlstr=CONCAT('SELECT t.TABLE_NAME,t.TABLE_COMMENT,c.COLUMN_NAME,c.COLUMN_TYPE,c.COLUMN_COMMENT FROM information_schema.TABLES t,INFORMATION_SCHEMA.Columns c WHERE c.TABLE_NAME=t.TABLE_NAME AND t.`TABLE_SCHEMA`=','''',dbName,'''');
      END;
   ELSE
     BEGIN
      SET @sqlstr=CONCAT('SELECT ','''','数据库名不能为空','''', 'AS ','''','提示','''');
     END;
     END IF;
   PREPARE stmt FROM @sqlstr;
   EXECUTE stmt;
END//
DELIMITER ;

# 调用存储过程：
CALL findComment('xiyinli_test');

上面的存储过程还可以简化：在存储过程中直接查询当前使用的数据库，如下：

DELIMITER//  
DROP PROCEDURE IF EXISTS findComment//
CREATE PROCEDURE findComment ()
BEGIN  
   DECLARE stmt VARCHAR(65535);  
   #查询当前的 use-->database
   SET @dbName=(SELECT DATABASE());
     BEGIN
       SET @sqlstr=CONCAT('SELECT t.TABLE_NAME,t.TABLE_COMMENT,c.COLUMN_NAME,c.COLUMN_TYPE,c.COLUMN_COMMENT FROM information_schema.TABLES t,INFORMATION_SCHEMA.Columns c WHERE c.TABLE_NAME=t.TABLE_NAME AND t.`TABLE_SCHEMA`=','''',@dbName,'''');
      END;
   PREPARE stmt FROM @sqlstr;
   EXECUTE stmt;
END//
DELIMITER ;

调用：
CALL findComment();

十，查看表信息

select * from information_schema.tables where table_schema = 'kcdb'(表所在的库) and table_name ='database_data_table_name_疾病'(表名称)

十一，查看表字段信息

select * from information_schema.columns where table_schema ='kcdb'(表所在的库) and table_name = 'database_data_table_name_疾病'(表名称)

十二.判断mysql当前连接是否有效

        try:
            self.cursor.ping()
        except pymysql.MySQLError:
            self.cursor.connect()

十三.数据库数据整理

import pymysql
import logging
import time
import re

# 添加日志

logging.basicConfig(
    level=logging.INFO,  # 定义输出到文件的log级别，大于此级别的都被输出
    format='%(asctime)s  %(filename)s  %(levelname)s : %(message)s',  # 定义输出log的格式
    datefmt='%Y-%m-%d %H:%M:%S',  # 时间
    filename='error.log',  # log文件名
    filemode='a')  # 写入模式“w”或“a”


class info(object):
    def __init__(self):
        self.strat_record = 0
        self.end_record = 1000000001
        self.db = pymysql.connect(host='localhost', port=3306, database='cfda', user='root', password='root',
                                  charset='utf8')
        # self.db = pymysql.connect(host='115.238.111.198', port=3306, database='spider_yu', user='spider',
        #                           password='Kangce@0608',
        #                           charset='utf8')
        self.cursor = self.db.cursor()

        while True:
            self.parse_page()

    def parse_page(self):
        num = self.cursor.execute(
            "select id, drug_instructions from drug_specification where id > {} limit 1000".format(self.strat_record))
        if str(num) == str(0):
            exit()

        data_tuple = self.cursor.fetchall()
        for data_one in data_tuple:
            id = data_one[0]
            drug_instructions = data_one[1].strip().replace("'", "‘")
            self.strat_record = id
            # 插入数据
            self.cursor.execute(
                'insert into catalogue() values()'.format())
            self.db.commit()

            # 查询数据
            self.cursor.execute("select * from catalogue")
            data = self.cursor.fetchone()
            data = self.cursor.fetchall()

            # 更新数据
            self.cursor.execute("update catalogue set ''='{}', ''='{}' where id={}".format())
            self.db.commit()

            # 删除数据
            self.cursor.execute("delete from catalogue where id={}".format())
            self.db.commit()


if __name__ == '__main__':
    info()

十四.删除数据,只增id从每个数据开始

DELETE from  member WHERE member_id>19;
ALTER TABLE member AUTO_INCREMENT=20;

十五,mysql查询区分大小写

1.SELECT * FROM TABLE NAME WHERE BINARY name='Clip';    # 查询的时候设置BINARY关键字

2.CREATE TABLE NAME(name VARCHAR(10) BINARY);  # 创建表的时候该字段设置BINARY关键字

3.utf8_general_ci --不区分大小写   utf8_bin--区分大小写   # 在设置字符集排序规则的时候选择utf8_bin

十六,删除数据库中的所有表

SELECT
    concat(
        'DROP TABLE IF EXISTS ',
        table_name,
        ';'
    )
FROM
    information_schema. TABLES
WHERE
    table_schema = 'spider_app';   # spider_app是数据库名称

运行出的结果复制出来运行一边

十七,截断数据库中的所有表

SELECT
	Concat(
		'TRUNCATE TABLE ',
		table_schema,
		'.',
		TABLE_NAME,
		';'
	)
FROM
	INFORMATION_SCHEMA. TABLES
WHERE
	table_schema IN ('db1_name', 'db2_name');   # 库名称

十八,从mysql中随机取几条数据

SELECT * FROM address WHERE id >= (SELECT floor(RAND() * (SELECT MAX(id) FROM address))) ORDER BY id LIMIT 0,10

十九查询出的数据自动添加编号

SELECT
	(@i :=@i + 1) AS "编号",
	original_price,
	real_price,
	app_origin_id,
	app_name,
	app_name_cn,
	update_time
FROM
	spider_app_source,
	(SELECT @i := 0) AS i
WHERE
	(
		app_origin_id = "305620"
		OR app_origin_id = "237930"
		OR app_origin_id = "383870"
		OR app_origin_id = "904310"
		OR app_origin_id = "710130"
		OR app_origin_id = "525360"
		OR app_origin_id = "434650"
		OR app_origin_id = "413150"
		OR app_origin_id = "732370"
	)
ORDER BY
	original_price ASC
LIMIT 1000

二十 mysql根据id 随机返回10条数据

SELECT * FROM gov_list AS t1 JOIN (SELECT floor( rand() * (( SELECT max( id ) FROM gov_list ) - ( SELECT min( id ) FROM gov_list ) + 1 ) + ( SELECT min( id ) FROM gov_list )) AS id FROM gov_list LIMIT 10 ) AS t2 WHERE t1.id = t2.ide

二十一查询当前MySQL数据库实例中正在运行的进程列表

SELECT * FROM information_schema.PROCESSLIST;

kill 15540533

当你执行这条SQL语句时，它会返回一个结果集，其中包含了每个正在运行的进程的信息，比如进程ID（`ID`）、用户（`USER`）、主机（`HOST`）、数据库（`DB`）、命令（`COMMAND`）、开始时间（`TIME`）等。

这个查询可以用来诊断问题，比如查找哪个查询正在消耗最多的资源，或者哪个连接已经长时间没有活动。通过观察 `COMMAND` 列，你可以识别出是查询（`Query`）、连接（`Connect`）、复制（`Slave`）等其他类型的操作。

发表于 2018-12-17 15:51 守护式等待阅读(94) 评论(0) 编辑收藏举报