id, org_id, nation, name, english_name, sex, age, blood_type, birth, id_number, political_landscape, party_time, head_pic, place_origin, marriage, status, home_address, health, registered_residence_type, province, city, area, address, post, contact_phone, job_number, job_state, contract_type, registered_capital, company_security_number, assignment_company_name, nature_company, graduate_school, education, is_valid, update_time, update_user_id,department and ID = #{id} and org_id = #{orgId,jdbcType=VARCHAR} and sex = #{sex,jdbcType=VARCHAR} and name like CONCAT("%",#{name},"%") and status = #{status,jdbcType=TINYINT} and is_valid = #{isValid,jdbcType=TINYINT} and update_time = #{updateTime,jdbcType=TIMESTAMP} and update_user_id = #{updateUserId,jdbcType=VARCHAR} order by ${sorting} limit #{offset}, #{limit} delete from se_personnel where id = #{id,jdbcType=VARCHAR} insert into se_personnel (id, org_id, nation, name, english_name, sex, age, blood_type, birth, id_number, political_landscape, party_time, head_pic, place_origin, marriage, status, home_address, health, registered_residence_type, province, city, area, address, post,department, contact_phone, job_number, job_state, contract_type, registered_capital, company_security_number, assignment_company_name, nature_company, graduate_school, education, is_valid, update_time, update_user_id) values (#{id,jdbcType=VARCHAR}, #{orgId,jdbcType=VARCHAR}, #{nation,jdbcType=VARCHAR}, #{name,jdbcType=VARCHAR}, #{englishName,jdbcType=VARCHAR}, #{sex,jdbcType=TINYINT}, #{age,jdbcType=TINYINT}, #{bloodType,jdbcType=VARCHAR}, #{birth,jdbcType=DATE}, #{idNumber,jdbcType=VARCHAR}, #{politicalLandscape,jdbcType=VARCHAR}, #{partyTime,jdbcType=TIMESTAMP}, #{headPic,jdbcType=VARCHAR}, #{placeOrigin,jdbcType=VARCHAR}, #{marriage,jdbcType=VARCHAR}, #{status,jdbcType=TINYINT}, #{homeAddress,jdbcType=VARCHAR}, #{health,jdbcType=VARCHAR}, #{registeredResidenceType,jdbcType=VARCHAR}, #{province,jdbcType=VARCHAR}, #{city,jdbcType=VARCHAR}, #{area,jdbcType=VARCHAR}, #{address,jdbcType=VARCHAR}, #{post,jdbcType=VARCHAR}, #{department,jdbcType=VARCHAR}, #{contactPhone,jdbcType=VARCHAR}, #{jobNumber,jdbcType=VARCHAR}, #{jobState,jdbcType=TINYINT}, #{contractType,jdbcType=VARCHAR}, #{registeredCapital,jdbcType=VARCHAR}, #{companySecurityNumber,jdbcType=VARCHAR}, #{assignmentCompanyName,jdbcType=VARCHAR}, #{natureCompany,jdbcType=VARCHAR}, #{graduateSchool,jdbcType=VARCHAR}, #{education,jdbcType=VARCHAR}, #{isValid,jdbcType=TINYINT}, #{updateTime,jdbcType=TIMESTAMP}, #{updateUserId,jdbcType=VARCHAR}) insert into se_personnel id, org_id, nation, name, english_name, sex, age, blood_type, birth, id_number, political_landscape, party_time, head_pic, place_origin, marriage, status, home_address, health, registered_residence_type, province, city, area, address, post, department, contact_phone, job_number, job_state, contract_type, registered_capital, company_security_number, assignment_company_name, nature_company, graduate_school, education, is_valid, update_time, update_user_id, #{id,jdbcType=VARCHAR}, #{orgId,jdbcType=VARCHAR}, #{nation,jdbcType=VARCHAR}, #{name,jdbcType=VARCHAR}, #{englishName,jdbcType=VARCHAR}, #{sex,jdbcType=TINYINT}, #{age,jdbcType=TINYINT}, #{bloodType,jdbcType=VARCHAR}, #{birth,jdbcType=DATE}, #{idNumber,jdbcType=VARCHAR}, #{politicalLandscape,jdbcType=VARCHAR}, #{partyTime,jdbcType=TIMESTAMP}, #{headPic,jdbcType=VARCHAR}, #{placeOrigin,jdbcType=VARCHAR}, #{marriage,jdbcType=VARCHAR}, #{status,jdbcType=TINYINT}, #{homeAddress,jdbcType=VARCHAR}, #{health,jdbcType=VARCHAR}, #{registeredResidenceType,jdbcType=VARCHAR}, #{province,jdbcType=VARCHAR}, #{city,jdbcType=VARCHAR}, #{area,jdbcType=VARCHAR}, #{address,jdbcType=VARCHAR}, #{post,jdbcType=VARCHAR}, #{department,jdbcType=VARCHAR}, #{contactPhone,jdbcType=VARCHAR}, #{jobNumber,jdbcType=VARCHAR}, #{jobState,jdbcType=TINYINT}, #{contractType,jdbcType=VARCHAR}, #{registeredCapital,jdbcType=VARCHAR}, #{companySecurityNumber,jdbcType=VARCHAR}, #{assignmentCompanyName,jdbcType=VARCHAR}, #{natureCompany,jdbcType=VARCHAR}, #{graduateSchool,jdbcType=VARCHAR}, #{education,jdbcType=VARCHAR}, #{isValid,jdbcType=TINYINT}, #{updateTime,jdbcType=TIMESTAMP}, #{updateUserId,jdbcType=VARCHAR}, update se_personnel org_id = #{orgId,jdbcType=VARCHAR}, nation = #{nation,jdbcType=VARCHAR}, name = #{name,jdbcType=VARCHAR}, english_name = #{englishName,jdbcType=VARCHAR}, sex = #{sex,jdbcType=TINYINT}, age = #{age,jdbcType=TINYINT}, blood_type = #{bloodType,jdbcType=VARCHAR}, birth = #{birth,jdbcType=DATE}, id_number = #{idNumber,jdbcType=VARCHAR}, political_landscape = #{politicalLandscape,jdbcType=VARCHAR}, party_time = #{partyTime,jdbcType=TIMESTAMP}, head_pic = #{headPic,jdbcType=VARCHAR}, place_origin = #{placeOrigin,jdbcType=VARCHAR}, marriage = #{marriage,jdbcType=VARCHAR}, status = #{status,jdbcType=TINYINT}, home_address = #{homeAddress,jdbcType=VARCHAR}, health = #{health,jdbcType=VARCHAR}, registered_residence_type = #{registeredResidenceType,jdbcType=VARCHAR}, province = #{province,jdbcType=VARCHAR}, city = #{city,jdbcType=VARCHAR}, area = #{area,jdbcType=VARCHAR}, address = #{address,jdbcType=VARCHAR}, post = #{post,jdbcType=VARCHAR}, department = #{department,jdbcType=VARCHAR}, contact_phone = #{contactPhone,jdbcType=VARCHAR}, job_number = #{jobNumber,jdbcType=VARCHAR}, job_state = #{jobState,jdbcType=TINYINT}, contract_type = #{contractType,jdbcType=VARCHAR}, registered_capital = #{registeredCapital,jdbcType=VARCHAR}, company_security_number = #{companySecurityNumber,jdbcType=VARCHAR}, assignment_company_name = #{assignmentCompanyName,jdbcType=VARCHAR}, nature_company = #{natureCompany,jdbcType=VARCHAR}, graduate_school = #{graduateSchool,jdbcType=VARCHAR}, education = #{education,jdbcType=VARCHAR}, is_valid = #{isValid,jdbcType=TINYINT}, update_time = #{updateTime,jdbcType=TIMESTAMP}, update_user_id = #{updateUserId,jdbcType=VARCHAR}, where id = #{id,jdbcType=VARCHAR} update se_personnel set org_id = #{orgId,jdbcType=VARCHAR}, nation = #{nation,jdbcType=VARCHAR}, name = #{name,jdbcType=VARCHAR}, english_name = #{englishName,jdbcType=VARCHAR}, sex = #{sex,jdbcType=TINYINT}, age = #{age,jdbcType=TINYINT}, blood_type = #{bloodType,jdbcType=VARCHAR}, birth = #{birth,jdbcType=DATE}, id_number = #{idNumber,jdbcType=VARCHAR}, political_landscape = #{politicalLandscape,jdbcType=VARCHAR}, party_time = #{partyTime,jdbcType=TIMESTAMP}, head_pic = #{headPic,jdbcType=VARCHAR}, place_origin = #{placeOrigin,jdbcType=VARCHAR}, marriage = #{marriage,jdbcType=VARCHAR}, status = #{status,jdbcType=TINYINT}, home_address = #{homeAddress,jdbcType=VARCHAR}, health = #{health,jdbcType=VARCHAR}, registered_residence_type = #{registeredResidenceType,jdbcType=VARCHAR}, province = #{province,jdbcType=VARCHAR}, city = #{city,jdbcType=VARCHAR}, area = #{area,jdbcType=VARCHAR}, address = #{address,jdbcType=VARCHAR}, post = #{post,jdbcType=VARCHAR}, department = #{department,jdbcType=VARCHAR}, contact_phone = #{contactPhone,jdbcType=VARCHAR}, job_number = #{jobNumber,jdbcType=VARCHAR}, job_state = #{jobState,jdbcType=TINYINT}, contract_type = #{contractType,jdbcType=VARCHAR}, registered_capital = #{registeredCapital,jdbcType=VARCHAR}, company_security_number = #{companySecurityNumber,jdbcType=VARCHAR}, assignment_company_name = #{assignmentCompanyName,jdbcType=VARCHAR}, nature_company = #{natureCompany,jdbcType=VARCHAR}, graduate_school = #{graduateSchool,jdbcType=VARCHAR}, education = #{education,jdbcType=VARCHAR}, is_valid = #{isValid,jdbcType=TINYINT}, update_time = #{updateTime,jdbcType=TIMESTAMP}, update_user_id = #{updateUserId,jdbcType=VARCHAR} where id = #{id,jdbcType=VARCHAR} update se_personnel set is_valid = #{isValid,jdbcType=TINYINT} where id = #{id,jdbcType=VARCHAR}