MySQL和hive对比表结构脚本

 #!/bin/bash

 source /etc/profile

 runlog='/tmp/zewei/check_schema_log'
 hive_database_schema=/tmp/hive_database_schema/hive/
 mysql_database_schema=/tmp/hive_database_schema/mysql/

 > $runlog
 #每天下午一点删除现有的表结构缓存文件.
 #防止hive有变动.
 if [ `date +%k` -eq  ]
 then
     rm -rf /tmp/hive_database_schema/hive/*
 fi

 while read DB; do
     HiveDB=`echo $DB |awk '{print $1}'`
     MysqlDB=`echo $DB |awk '{print $2}'`
     MysqlHost=`echo $DB |awk '{print $3}'`
     MysqlPort=`echo $DB |awk '{print $4}'`
     PartTag=`echo $DB |awk '{print $5}'`

     connect_mysql="mysql -u TableSchemaCheck -pSchemacheck666 -h $MysqlHost -P $MysqlPort $MysqlDB -BNe"
     #缓存文件夹不在就创建
     ls $mysql_database_schema/$MysqlDB > /dev/null || mkdir -p $mysql_database_schema/$MysqlDB
     ls $hive_database_schema/$HiveDB > /dev/null || mkdir -p $hive_database_schema/$HiveDB

     #通过part标记检查是否为分区库
     if [ "$PartTag" == 'part' ]
     then
         table_list=`hive -S -e "use $HiveDB; show tables;" | grep "_part$"`
     else
         table_list=`hive -S -e "use $HiveDB; show tables;"`
     fi

     #对获取到的tables进行循环检查
     for table in $table_list
     do
         if [ "$PartTag" == 'part' ]
         then
             hive_table_name=$table
             mysql_table_name=`echo $table | sed 's/_part$//'`
         else
             hive_table_name=$table
             mysql_table_name=$table
         fi

         #获取mysql的表结构
         $connect_mysql "desc $mysql_table_name;"  > /tmp/mysql_column
         if [ $? -ne 0 ]
         then
             continue
         else
             #把大写转换为小写.因为hive里面的列名没有大小写之分,所以转换一下
             cat /tmp/mysql_column |  awk '{print $1}' | tr '[A-Z]' '[a-z]' > $mysql_database_schema/$MysqlDB/$mysql_table_name
         fi

         #如果没有hive的表结构缓存文件就去hive取...然后对分区字段进行删除,因为这对于MySQL的表结构来说是多余的
         if ! ls $hive_database_schema/$HiveDB/$table > /dev/null
         then
             hive -S -e "use $HiveDB; desc ${hive_table_name};" | awk '{print $1 }' > /tmp/hive_column
             part_column=`sed -n  '/\#/,$p' /tmp/hive_column | egrep -v '#|^$'`
             for i in $part_column
             do
                 sed -i "/\b${i}\b/d" /tmp/hive_column
             done
             egrep -v "#|^$" /tmp/hive_column | tee $hive_database_schema/$HiveDB/$table
         fi

         #获取MD5
         md5ForMysql=`md5sum $mysql_database_schema/$MysqlDB/$mysql_table_name | awk '{print $1}'`
         md5ForHive=`md5sum $hive_database_schema/$HiveDB/$hive_table_name | awk '{print $1}'`

         #MD5不同就记录日志
         if [ ! "$md5ForMysql"x == "$md5ForHive"x ]; then
                 echo -e "HiveDB:\t$HiveDB\t\ttable:\t$hive_table_name\t\tnot equal to MysqlDB table:\t$mysql_table_name" >> $runlog
         fi
     done
 done < /root/script/DBlist

 #统计并报警.报警阈值在监控里面设置
 err_line=`wc -l $runlog | awk '{print $1}'`
 [报警]