AND data_details.data_type=#{dataType} AND data_details.mark=#{mark} AND data_details.submitted_batch=#{submittedBatch} AND data_details.city_name=#{cityName} AND data_details.district_name=#{districtName} AND data_details.data_version=#{dataVersion} AND data_details.system_name=#{systemName} AND data_details.data_year=#{dataYear} AND data_details.data_base_type=#{dataBaseType} AND CONCAT(regionalism_code,system_code,city_name,district_name,system_name,data_year) LIKE CONCAT('%',CONCAT('${item}','%')) SELECT id,regionalism_code,city_name,district_name,system_code,system_name,data_type,data_version,submitted_batch,data_path,data_charset,collection_time,collector_name,collector_contacts,extract_status,data_year,start_year,end_year,volume_ip,volume_path,data_base_type,standard_extract_status,checkout_flag,mark FROM data_details and data_details.id>= #{offset} and data_details.id>=0 ORDER BY data_details.id LIMIT #{limit} SELECT id,regionalism_code,city_name,district_name,system_code,system_name,data_type,data_version,submitted_batch,data_path,data_charset,collection_time,collector_name,collector_contacts,extract_status,data_year,start_year,end_year,volume_ip,volume_path,data_base_type,standard_extract_status,checkout_flag,mark FROM data_details ORDER BY data_details.id SELECT id,regionalism_code,city_name,district_name,system_code,system_name,data_type,data_version,submitted_batch,data_path,data_charset,collection_time,collector_name,collector_contacts,extract_status,data_year,start_year,end_year,volume_ip,volume_path,data_base_type,standard_extract_status,checkout_flag,mark FROM data_details ORDER BY data_details.id SELECT count(id) FROM data_info where data_path=#{dataPath} and remove='0' SELECT id,regionalism_code,city_name,district_name,system_code,system_name,data_type,data_version,submitted_batch,data_path,data_charset,collection_time,collector_name,collector_contacts,extract_status,data_year,start_year,end_year,volume_ip,volume_path,data_base_type,standard_extract_status,checkout_indicate_last,checkout_pay_last,checkout_flag,mark FROM data_details WHERE id =#{id} SELECT regionalism_code regionalismCode,system_code systemCode,checkout_indicate execResult,checkout_pay payResult FROM data_details WHERE collection_time > #{collectingTime} ORDER BY data_details.id SELECT COUNT(id) FROM data_details SELECT MAX(idx) FROM (SELECT id idx FROM data_details ORDER BY id LIMIT 0,#{totalLimit}) AS TEMP INSERT INTO data_info( regionalism_code, system_code, data_type, data_version, submitted_batch, data_path, collection_time, collector_name, collector_contacts, data_charset, data_year, start_year, end_year, volume_ip, volume_path, extract_status, checkout_pay, checkout_indicate, start_month, end_month, data_base_type, ) VALUES( #{regionalismCode}, #{systemCode}, #{dataType}, #{dataVersion}, #{submittedBatch}, #{dataPath}, #{collectingTime}, #{collectorName}, #{collectorContacts}, #{charset}, #{year}, #{startYear}, #{endYear}, #{volumeIp}, #{volumePath}, #{extractStatus}, #{payResult}, #{execResult}, #{startMonth}, #{endMonth}, #{dataBaseType}, ) select data_path from data_info where id in #{item} and remove ='0' UPDATE data_info set remove = '1' where id in #{item} and remove ='0' UPDATE data_info set extract_status = #{extractStatus} id = #{id} AND remove ='0' UPDATE data_info data_path= #{dataPath}, extract_status= #{extractStatus}, checkout_pay_last= #{payResultLast}, checkout_indicate_last= #{execResultLast}, checkout_flag= #{checkoutFlag}, id = #{id} AND remove ='0'