1,在shell提示符下查看mysql指定数据库下的表等数据
aaarticlea/png;base64,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" alt="" />
2.批量删除mysql下指定数据库下的所有表,Ruiy完成绝对测试---通过Pass
for tb in `echo "use se;show tables" | mysql -p321`;do mysql -e "drop table se.$tb" -p321;done
aaarticlea/png;base64,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" alt="" />
再进一步的完整语句为,过滤掉那个Tables_in_DBName
for tb in `echo "use se;show tables" | mysql -p321|grep -v "Tables_in"`;do mysql -e "drop table se.$tb" -p321;done