• MySQL和hive对比表结构脚本


     1 #!/bin/bash
     2 
     3 source /etc/profile
     4 
     5 runlog='/tmp/zewei/check_schema_log'
     6 hive_database_schema=/tmp/hive_database_schema/hive/
     7 mysql_database_schema=/tmp/hive_database_schema/mysql/
     8 
     9 > $runlog
    10 #每天下午一点删除现有的表结构缓存文件.
    11 #防止hive有变动.
    12 if [ `date +%k` -eq 13 ] 
    13 then
    14     rm -rf /tmp/hive_database_schema/hive/*
    15 fi
    16 
    17 while read DB; do
    18     HiveDB=`echo $DB |awk '{print $1}'`
    19     MysqlDB=`echo $DB |awk '{print $2}'`
    20     MysqlHost=`echo $DB |awk '{print $3}'`
    21     MysqlPort=`echo $DB |awk '{print $4}'`
    22     PartTag=`echo $DB |awk '{print $5}'`
    23 
    24     connect_mysql="mysql -u TableSchemaCheck -pSchemacheck666 -h $MysqlHost -P $MysqlPort $MysqlDB -BNe"
    25     #缓存文件夹不在就创建
    26     ls $mysql_database_schema/$MysqlDB > /dev/null || mkdir -p $mysql_database_schema/$MysqlDB
    27     ls $hive_database_schema/$HiveDB > /dev/null || mkdir -p $hive_database_schema/$HiveDB
    28     
    29     #通过part标记检查是否为分区库
    30     if [ "$PartTag" == 'part' ]
    31     then
    32         table_list=`hive -S -e "use $HiveDB; show tables;" | grep "_part$"`
    33     else
    34         table_list=`hive -S -e "use $HiveDB; show tables;"`
    35     fi
    36 
    37     #对获取到的tables进行循环检查
    38     for table in $table_list
    39     do
    40         if [ "$PartTag" == 'part' ]
    41         then
    42             hive_table_name=$table
    43             mysql_table_name=`echo $table | sed 's/_part$//'`
    44         else
    45             hive_table_name=$table
    46             mysql_table_name=$table
    47         fi
    48 
    49         #获取mysql的表结构
    50         $connect_mysql "desc $mysql_table_name;"  > /tmp/mysql_column 
    51         if [ $? -ne 0 ] 
    52         then 
    53             continue
    54         else
    55             #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
    56             cat /tmp/mysql_column |  awk '{print $1}' | tr '[A-Z]' '[a-z]' > $mysql_database_schema/$MysqlDB/$mysql_table_name
    57         fi
    58 
    59         #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
    60         if ! ls $hive_database_schema/$HiveDB/$table > /dev/null
    61         then
    62             hive -S -e "use $HiveDB; desc ${hive_table_name};" | awk '{print $1 }' > /tmp/hive_column
    63             part_column=`sed -n  '/#/,$p' /tmp/hive_column | egrep -v '#|^$'` 
    64             for i in $part_column
    65             do
    66                 sed -i "/${i}/d" /tmp/hive_column 
    67             done
    68             egrep -v "#|^$" /tmp/hive_column | tee $hive_database_schema/$HiveDB/$table
    69         fi
    70 
    71         #获取MD5
    72         md5ForMysql=`md5sum $mysql_database_schema/$MysqlDB/$mysql_table_name | awk '{print $1}'`
    73         md5ForHive=`md5sum $hive_database_schema/$HiveDB/$hive_table_name | awk '{print $1}'`
    74 
    75         #MD5不同就记录日志
    76         if [ ! "$md5ForMysql"x == "$md5ForHive"x ]; then
    77                 echo -e "HiveDB:	$HiveDB		table:	$hive_table_name		not equal to MysqlDB table:	$mysql_table_name" >> $runlog
    78         fi
    79     done
    80 done < /root/script/DBlist
    81 
    82 #统计并报警.报警阈值在监控里面设置
    83 err_line=`wc -l $runlog | awk '{print $1}'`
    84 [报警]
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  • 原文地址:https://www.cnblogs.com/wayde-Z/p/6958050.html
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