厦门住房建设局网站今日发生的重大新闻
假设我通过对数脚本发现，这些表对不上。
假设检测出来是这样的（这些表存在于源端，但不存在目标端）
我们需要从源端迁移过去。
diff.txt
ads_xx1 dt=20250219
ads_xx2 dt=20250217
ads_xx2 dt=20250218
ads_xx2 dt=20250219
ads_xx3 dt=20250217
ads_xx4 dt=20250217
bak_xx1 dt=20250109
bak_xx1 dt=20250110
bak_xx1 dt=20250111
bak_xx1 dt=20250112
bak_xx1 dt=20250113
dim_e dt=20250131
dim_j dt=20250216
dim_j dt=20250217
dim_m_df dt=20250216
dim_m_df dt=20250217
dim_m_df dt=20250218
tmp_np
tmp_an dt=20250217
tmp_an dt=20250218
tmp_dhc_allcon_20250131
tmp_hj dt=20250216
tmp_hj dt=20250217
tmp_hj_2 dt=20250216
tmp_hj_2 dt=20250217~
脚本
#!/bin/bash
#场景：数据在同一库下，并且hive是内部表（前缀的hdfs地址是相同的）echo "" > rs.txt#1.读取每一行，获取到表名和分区名#定义map
declare -A table_map
while IFS=' ' read -r table_name fenqu_name
do#table_name为空的情况if [[ -z "${table_name// }" ]]; thenecho "变量为空或只有空格，跳过操作"continueelse#1.如果map中存在此表，并且分区不为空，则加入数组中if [[ -v table_map["$table_name"] ]]; thenecho "$table_name exists in the map!"value_arr="${table_map[$table_name]}"IFS=' ' read -r -a new_arr <<< "${table_map["$table_name"]}"#判断分区为空吗if [ ${#new_arr[@]} -eq 0 ]; thenecho "Array is empty!,不操作"elseecho "Array is not empty!加入数组，放到map"new_arr+=("$fenqu_name")table_map["$table_name"]="$(IFS=' '; echo "${new_arr[*]}")"fielse#2.如果map中不存在此表，则创建数组，分区不可能存在又缺分区又缺表的存在（跑的时候筛出来,分批跑），则放进去。echo "$table_name does not exist in the map!"value_arr=()value_arr+=("$fenqu_name")table_map["$table_name"]="$(IFS=' '; echo "${value_arr[*]}")"fifidone < "$1"
echo "-----------"
#测试一下数组中的元素
#for table_name in "${!table_map[@]}"; do
# echo "$table_name: ${table_map[$table_name]}"
#done#2.遍历map3.遍历map
#删除每一个map里对应的分区
for table_name in "${!table_map[@]}"; dofenqu_arr_str=${table_map[$table_name]}echo "$table_name: $fenqu_arr_str"#如果没有分区，则删除表if [[ -z "$fenqu_arr_str" || "$fenqu_arr_str" =~ ^[[:space:]]*$ ]]; thenecho "hdfs dfs -rm -r hdfs://xx.xx.xx.104:4007/apps/hive/warehouse/bigdata.db/$table_name"eval "hdfs dfs -rm -r hdfs://xx.xx.xx.104:4007/apps/hive/warehouse/bigdata.db/$table_name"# 在这里执行相应的操作elseIFS=' ' read -r -a value_array <<< "$fenqu_arr_str"# 遍历数组for fenqu_name in "${value_array[@]}"; do# 输出每个 dtecho "hdfs dfs -rm -r hdfs://xx.xx.xx.104:4007/apps/hive/warehouse/bigdata.db/$table_name/$fenqu_name"eval "hdfs dfs -rm -r hdfs://xx.xx.xx.104:4007/apps/hive/warehouse/bigdata.db/$table_name/$fenqu_name"donefi done#3.distcp任务
for table_name in "${!table_map[@]}"; dofenqu_arr_str=${table_map[$table_name]}echo "$table_name: $fenqu_arr_str"distcp_str="hadoop distcp -skipcrccheck -i -strategy dynamic -bandwidth 30 -m 20"source_path=hdfs://xx.xx.xx.7:8020/apps/hive/warehouse/bigdata.db/$table_nametarget_path=hdfs://xx.xx.xx.104:4007/apps/hive/warehouse/bigdata.db/$table_name#如果没有分区，则distcp表if [[ -z "$fenqu_arr_str" || "$fenqu_arr_str" =~ ^[[:space:]]*$ ]]; thendistcp_str="$distcp_str $source_path $target_path"echo "$distcp_str"eval "$distcp_str"elseIFS=' ' read -r -a value_array <<< "$fenqu_arr_str"# 遍历数组for fenqu_name in "${value_array[@]}"; do# 拼接distcp_str="$distcp_str $source_path/$fenqu_name"done#执行distcp_str="$distcp_str $target_path"echo "$distcp_str"eval "$distcp_str"fiecho "$table_name 完成" >> rs.txt
doneBEELINE_CMD="beeline -u 'jdbc:hive2://xx.xx.xx.104:7001/cfc;principal=hadoop/xx.xx.xx.104@TBDS-09T7KXLE'"
#4.修复分区
for table_name in "${!table_map[@]}"; do# 执行MSCK REPAIR TABLE命令echo "Repairing partitions for table: $table_name"$BEELINE_CMD -e "MSCK REPAIR TABLE $table_name;"if [ $? -eq 0 ]; thenecho "Successfully repaired partitions for table: $table_name"elseecho "Failed to repair partitions for table: $table_name"fi
done使用
nohup sh bushu.sh diff.txt &