mysql>create user'testuser01'@'%'identified by'Test01.~!#';QueryOK,0rowsaffected(0.01sec)# 删除用户testuser01 mysql>drop user'testuser01'@'%';QueryOK,0rowsaffected(0.01sec)# 再次创建testuser01成功 mysql>create user'testuser01'@'%'identified by'Test01.~!#';QueryOK,0rowsaffected(0.01s...
mysql[localhost:5729]{root}((none))>setglobalinnodb_buffer_pool_size=128*1024*1024*1024Query OK,0rowsaffected(0.00sec)mysql[localhost:5729]{root}((none))>showvariableslike'innodb_buffer_pool_size';+---+---+|Variable_name|Value|+---+---+|innodb_buffer_pool_size|17179869184|+---+---...
mysql> drop table cjc.txxxxx; Query OK,0rowsaffected(0.35sec) mysql>select*fromcjc.txxxxx; ERROR1146(42S02): Table'cjc.txxxxx'doesn't exist 2.安装、编译undrop-for-innodb工具 1.下载恢复工具 [root@cjc-db-01back]# git clone https://github.com/twindb/undrop-for-innodb.git Cloninginto'und...
Query OK, 0 rows affected (0.00 sec) mysql> SHOW CREATE DATABASE database_name; ERROR 1049 (42000): Unknown database 'database_name' CREATEDATABASE mysqlcrashcourse;//创建一个名为 mysqlcrashcourse 的数据库DROPDATABASE mysqlcrashcourse;//删除一个名为 mysqlcrashcourse 的数据库 对数据表进行定...
mysql drop大表 hang住数据库 mysql 大表数据清理 概述 MySQL如何快速清理大表操作,比如Zabbix监控历史表未定时清理,导致磁盘空间不足,下面讲下Zabbix历史表的清理操作: history_开头的表都大同一致,唯一不同的是保存的数据类型,history_unit保存的数据类型是int即整型类型的,history_str保存的数据类型是str即字符类型...
$retval=mysqli_query($conn,$sql); if(!$retval) { die('删除数据库失败: '.mysqli_error($conn)); } echo"数据库 RUNOON 删除成功\n"; mysqli_close($conn); ?> 执行成功后,数结果为: 注意:在使用PHP脚本删除数据库时,不会出现确认是否删除...
SHOW GLOBAL VARIABLES LIKE 'innodb_adaptive_hash_index';+---+---+| Variable_name | Value || innodb_adaptive_hash_index | ON |1 row in set (0.01 sec)mysql> SET GLOBAL innodb_adaptive_hash_index=OFF;Query OK, 0 rows affected (0.00 sec)| innodb_adaptive_hash_index | OFF ...
5 rows in set (0.00 sec) root@mysqldb 04:30: [dtest]> create table dtest2 like dtest1; Query OK, 0 rows affected (0.02 sec) root@mysqldb 04:30: [dtest]> create table dtest3 like dtest1; Query OK, 0 rows affected (0.01 sec) ...
For example, the following query performs better with an index on the Population field: mysql-py> db.countryinfo.find("demographics.Population < 100") ...[output removed] 8 documents in set (0.00 sec) The create_index() method creates an index that you can define with a JSON document ...
Basically, the query instructs MySQL to go to theinformation_schematable, which contains data on all tables in all databases, and to concatenate all tables in the database@schema(classicmodels)that matches the pattern@pattern(test%)with the prefixDROP TABLE.TheGROUP_CONCATfunction creates a comma...