mysql横向和纵向合并sql数据用于展示,快递导出导入海量数据
2020年3月11日12:03:47
MySQL版本5.7
使用 UNION 纵向合并两个sql的结果
SELECT DISTINCT(departments) as departments,SUM(final_price) as finalPrice,count(*) as orderCount FROM phc_order GROUP BY departments UNION SELECT '总计' ,SUM(final_price) as finalPrice,count(*) as orderCount FROM phc_order
!注意如果上下sql的结果列数要一致不然就会出错
departments | finalPrice | orderCount | |
---|---|---|---|
儿科 | 0.53 | 69 | |
妇科二 | 0.61 | 28 | |
心外科 | 0.71 | 64 | |
普外二科 | 0.43 | 34 | |
泌尿外二科 | 0.23 | 10 | |
烧伤科 | 0.19 | 23 | |
科室1 | 14.06 | 17 | |
肾血液科 | 0.07 | 8 | |
脑血管中心 | 1.50 | 39 | |
总计 | 18.33 | 292 |
使用 JOIN 横向合并两个sql的结果
SELECT A.*, B.* FROM (SELECT SUM(final_price) as finalPrice,count(*) as orderCount FROM phc_order) as A JOIN (SELECT SUM(final_price) as finalPrice5,count(*) as orderCount5 FROM phc_order WHERE order_status = 5) as B
注意
finalPrice | orderCount | finalPrice5 | orderCount5 | |
---|---|---|---|---|
18.33 | 292 | 2.21 | 22 |
快速出sql
SELECT true_name,area_info,address,tel_phone,mob_phone FROM shopnc_address into outfile 'd:/zx.xls'
在配置文件加入,并重启
secure-file-priv=
windows本地测试结果
SELECT * FROM data_international into outfile 'd:/zx.xls'; 受影响的行: 436593 时间: 0.523s
TRUNCATE TABLE data_international;
LOAD DATA INFILE 'd:/zx.xls' INTO TABLE data_international; 受影响的行: 436593 时间: 2.453s
导出导入速度还挺快的
SELECT fields INTO OUTFILE 'file_name' [{FIELDS | COLUMNS} 字段 [TERMINATED BY 'string'] 字段之间分隔符号 [[OPTIONALLY] ENCLOSED BY 'char'] 字段被包含在char中间 [ESCAPED BY 'char'] 忽略字段里出现的char ] [LINES [STARTING BY 'string'] 忽略开头是string的行 [TERMINATED BY 'string'] 行分隔符 ] FROM test_table;
LOAD DATA [LOW_PRIORITY | CONCURRENT] [LOCAL] INFILE 'file_name' [REPLACE | IGNORE] 遇到重复的时候处理方法,替换或者是忽略 INTO TABLE tbl_name 导入数据的目的表名 [PARTITION (partition_name,...)] 分区选择 [CHARACTER SET charset_name] 字符集 [{FIELDS | COLUMNS} 字段 [TERMINATED BY 'string'] 字段之间分隔符号 [[OPTIONALLY] ENCLOSED BY 'char'] 字段被包含在char中间 [ESCAPED BY 'char'] 忽略字段里出现的char ] [LINES [STARTING BY 'string'] 忽略开头是string的行 [TERMINATED BY 'string'] 行分隔符 ] [IGNORE number {LINES | ROWS}] 忽略行/列 [(col_name_or_user_var,...)] 目的表的表字段名或者用户变量名 [SET col_name = expr,...] 设置表字段值
参考文档:https://www.cnblogs.com/wyzs/p/6762452.html
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