select job_id, job_title, min_salary, max_salary, education, experience, company_name, job_location, posting_date, vacancies, del_flag, create_by, create_time, update_by, update_time, remark, latitude, longitude, "view", company_id , is_hot ,apply_num,is_publish, description,job_location_area_code,data_source,job_url,job_category,is_explain,explain_url,cover,job_type from job INSERT INTO row_work ( TaskId, TaskName, Std_class, SF, ZCMC, Aca112, Acb22a, Aac011, Acb240, Recruit_Num, Acb202, Aab302, Acb241, Salary, SalaryLow, SalaryHight, Aae397, AAB004, AAB022, AAB019, AAE006, AAB092, ORG, ACE760, AAE004, AAE005, Num_employers, Experience, Highlight, Minimum_age, Maximum_age, Sex, IndustryType, IndustrySub, AAB019_OK, Aac011_OK, Experience_OK, Num_OK, Collect_time, ClearFlag, Province, City, County, importdate, YearMonth, IsRepeat, latitude, longitude ) VALUES ( #{job.TaskId}, #{job.TaskName}, #{job.Std_class}, #{job.SF}, #{job.ZCMC}, #{job.Aca112}, #{job.Acb22a}, #{job.Aac011}, #{job.Acb240}, #{job.Recruit_Num}, #{job.Acb202}, #{job.Aab302}, #{job.Acb241}, #{job.Salary}, #{job.SalaryLow}, #{job.SalaryHight}, #{job.Aae397}, #{job.AAB004}, #{job.AAB022}, #{job.AAB019}, #{job.AAE006}, #{job.AAB092}, #{job.ORG}, #{job.ACE760}, #{job.AAE004}, #{job.AAE005}, #{job.Num_employers}, #{job.Experience}, #{job.Highlight}, #{job.Minimum_age}, #{job.Maximum_age}, #{job.Sex}, #{job.IndustryType}, #{job.IndustrySub}, #{job.AAB019_OK}, #{job.Aac011_OK}, #{job.Experience_OK}, #{job.Num_OK}, #{job.Collect_time}, #{job.ClearFlag}, #{job.Province}, #{job.City}, #{job.County}, #{job.importdate}, #{job.YearMonth}, #{job.IsRepeat}, #{job.latitude}, #{job.longitude} ) INSERT INTO job ( job_title, min_salary, max_salary, education, experience, company_name, job_location, job_location_area_code, posting_date, vacancies, latitude, longitude, "view", company_id, is_hot, apply_num, description, is_publish, data_source, job_url, remark, del_flag, create_by, create_time, row_id, job_category,jobType ) VALUES ( #{job.jobTitle}, #{job.minSalary}, #{job.maxSalary}, #{job.education}, #{job.experience}, #{job.companyName}, #{job.jobLocation}, #{job.jobLocationAreaCode}, #{job.postingDate}, #{job.vacancies}, #{job.latitude}, #{job.longitude}, #{job.view}, #{job.companyId}, #{job.isHot}, #{job.applyNum}, #{job.description}, #{job.isPublish}, #{job.dataSource}, #{job.jobUrl}, #{job.remark}, #{job.delFlag}, #{job.createBy}, #{job.createTime}, #{job.rowId}, #{job.jobCategory},#{job.jobType} ) INSERT INTO row_work_tmp ( TaskId, TaskName, Std_class, SF, ZCMC, Aca112, Acb22a, Aac011, Acb240, Recruit_Num, Acb202, Aab302, Acb241, Salary, SalaryLow, SalaryHight, Aae397, AAB004, AAB022, AAB019, AAE006, AAB092, ORG, ACE760, AAE004, AAE005, Num_employers, Experience, Highlight, Minimum_age, Maximum_age, Sex, IndustryType, IndustrySub, AAB019_OK, Aac011_OK, Experience_OK, Num_OK, Collect_time, ClearFlag, Province, City, County, importdate, YearMonth, IsRepeat, latitude, longitude ) VALUES ( #{job.TaskId}, #{job.TaskName}, #{job.Std_class}, #{job.SF}, #{job.ZCMC}, #{job.Aca112}, #{job.Acb22a}, #{job.Aac011}, #{job.Acb240}, #{job.Recruit_Num}, #{job.Acb202}, #{job.Aab302}, #{job.Acb241}, #{job.Salary}, #{job.SalaryLow}, #{job.SalaryHight}, #{job.Aae397}, #{job.AAB004}, #{job.AAB022}, #{job.AAB019}, #{job.AAE006}, #{job.AAB092}, #{job.ORG}, #{job.ACE760}, #{job.AAE004}, #{job.AAE005}, #{job.Num_employers}, #{job.Experience}, #{job.Highlight}, #{job.Minimum_age}, #{job.Maximum_age}, #{job.Sex}, #{job.IndustryType}, #{job.IndustrySub}, #{job.AAB019_OK}, #{job.Aac011_OK}, #{job.Experience_OK}, #{job.Num_OK}, #{job.Collect_time}, #{job.ClearFlag}, #{job.Province}, #{job.City}, #{job.County}, #{job.importdate}, #{job.YearMonth}, #{job.IsRepeat}, #{job.latitude}, #{job.longitude} ) UPDATE job SET is_hot = 1 WHERE job_id IN ( select b.job_id from( SELECT job_id FROM job ORDER BY "view" DESC LIMIT 10) as b ); del_flag = '0' and job_title = #{jobTitle} and min_salary = #{minSalary} and max_salary = #{maxSalary} and education = #{education} and experience = #{experience} and company_name like concat('%', cast(#{companyName, jdbcType=VARCHAR} as varchar), '%') and job_location = #{jobLocation} and posting_date = #{postingDate} and vacancies = #{vacancies} and latitude = #{latitude} and longitude = #{longitude} and "view" = #{view} and company_id = #{companyId} and is_hot = #{isHot} and apply_num = #{applyNum} and company_id in(select company_id from company where code=#{code}) and min_salary < 1750 and max_salary < 2000 and min_salary >= 1750 and max_salary < 3000 and min_salary >= 2000 and max_salary < 4000 and min_salary >= 3000 and max_salary < 5000 and min_salary >= 4000 and min_salary > 5000 order by is_explain desc del_flag = '0' and job_title = #{jobTitle} and min_salary = #{minSalary} and max_salary = #{maxSalary} and education = #{education} and experience = #{experience} and company_name like concat('%', cast(#{companyName, jdbcType=VARCHAR} as varchar), '%') and job_location = #{jobLocation} and posting_date = #{postingDate} and vacancies = #{vacancies} and latitude = #{latitude} and longitude = #{longitude} and "view" = #{view} and company_id = #{companyId} and is_hot = #{isHot} and apply_num = #{applyNum} and is_publish = #{isPublish} and job_location_area_code in #{item} select Id, TaskId, TaskName, Std_class, SF, ZCMC, Aca112, Acb22a, Aac011, Acb240, Recruit_Num, Acb202, Aab302, Acb241, Salary, SalaryLow, SalaryHight, Aae397, AAB004, AAB022, AAB019, AAE006, AAB092, ORG as "ORG", ACE760, AAE004, AAE005, Num_employers, Experience, Highlight, Minimum_age, Maximum_age, Sex, IndustryType, IndustrySub, AAB019_OK, Aac011_OK, Experience_OK, Num_OK, Collect_time, ClearFlag, Province, City, County, importdate, YearMonth, IsRepeat, latitude, longitude,Std_class as JobCategory from row_work SELECT * FROM ( SELECT AAB004 AS name, MIN(AAE006) AS location, MIN(IndustryType) as remark, MIN(IndustrySub) as industry, MIN(Num_OK) as scale, MIN(AAB092) as description, MIN(AAB019_OK) as nature FROM row_work GROUP BY AAB004 ) AS b WHERE NOT EXISTS ( SELECT 1 FROM company WHERE b.name = company.name ) SELECT j.*,c.industry,c.scale,c.nature as company_nature FROM job as j left join company as c on c.company_id = j.company_id limit #{offset},#{batchSize} select Id, TaskId, TaskName, Std_class, SF, ZCMC, Aca112, Acb22a, Aac011, Acb240, Recruit_Num, Acb202, Aab302, Acb241, Salary, SalaryLow, SalaryHight, Aae397, AAB004, AAB022, AAB019, AAE006, AAB092, ORG as "ORG", ACE760, AAE004, AAE005, Num_employers, Experience, Highlight, Minimum_age, Maximum_age, Sex, IndustryType, IndustrySub, AAB019_OK, Aac011_OK, Experience_OK, Num_OK, Collect_time, ClearFlag, Province, City, County, importdate, YearMonth, IsRepeat, latitude, longitude,Std_class as JobCategory from row_work where not exists( select 1 from job where job.row_id = row_work.id ) AND id IN ( SELECT max(id) FROM row_work GROUP BY Aca112,Acb22a) SELECT ANY_VALUE(job_id) as job_id, j.job_title, ed.dict_label as education, ex.dict_label as experience, j.company_name, j.job_location, j.description, ar.dict_label as area, ab.dict_label as nature, ac.dict_label as scale, concat(j.min_salary,"元-",j.max_salary,"元") as salary FROM job as j inner join company as c on c.company_id = j.company_id inner join qd.bussiness_dict_data as ed on ed.dict_type = 'education' and ed.dict_value = j.education inner join qd.bussiness_dict_data as ex on ex.dict_type = 'experience' and ex.dict_value = j.experience left join qd.bussiness_dict_data as ar on ar.dict_type = 'area' and ar.dict_value = j.job_location_area_code left join qd.bussiness_dict_data as ab on ab.dict_type = 'company_nature' and ab.dict_value = c.nature left join qd.bussiness_dict_data as ac on ac.dict_type = 'scale' and ac.dict_value = c.scale where job_id =#{jobId}