select id, user_id, register_date, blood_type, marital_status, pregnant_status, pregnancy_date, doctor_advice, if_hospitalized, doctor_num, hospital_num, inpatient_date, inpatient_result, weight_control, allergen, labour_intensity, health_state, create_by, create_time, update_by, update_time from health_person_info SELECT a.user_id, a.nick_name, a.phonenumber as mobile, a.photo_url as custPhotoUrl, a.sex, d.height, d.weight, d.bmi, b.doctor_advice, b.allergen, b.labour_intensity, b.pregnant_status, b.doctor_num, b.hospital_num, b.inpatient_date, GROUP_CONCAT(c.chronic_name ORDER BY c.chronic_id desc) AS chronic_names, GROUP_CONCAT(c.chronic_id ORDER BY c.chronic_id desc) AS chronic_ids from sys_user a left join health_person_info b on a.user_id = b.user_id left join health_person_info_chronic c on a.user_id = c.user_id left join health_person_body_record d on a.user_id = d.user_id and d.if_latest = 1 where 1 = 1 and(a.nick_name like concat('%', #{articleTitle}, '%') or a.phonenumber like concat('%', #{articleTitle}, '%') or b.doctor_num like concat('%', #{articleTitle}, '%')) and c.chronic_id in (${chronicIds}) and b.doctor_advice in (${doctorAdvices}) group by a.user_id, a.nick_name, a.dept_id, a.phonenumber, a.photo_url, a.sex, d.height, d.weight, d.bmi, b.doctor_advice, b.allergen, b.labour_intensity, b.pregnant_status select a.user_id, a.nick_name, a.phonenumber as mobile, a.sex, a.dept_id as orgId, a.user_type, b.marital_status, b.pregnant_status, b.pregnancy_date, b.doctor_advice, b.if_hospitalized, b.doctor_num, b.hospital_num, b.inpatient_date, b.inpatient_result, b.weight_control, b.allergen, b.labour_intensity, b.health_state, b.blood_type, c.height, c.weight, c.bmi, c.shape, c.bust, c.waistline, c.blood_sugar, c.blood_fat, c.blood_pressure_high, c.blood_pressure_low, c.heart_rate, c.blood_oxygen, c.uric_acid, c.blood_pressure, GROUP_CONCAT(d.chronic_name ORDER BY d.chronic_id desc) AS chronic_names, GROUP_CONCAT(d.chronic_id ORDER BY d.chronic_id desc) AS chronic_ids from sys_user a left join health_person_info b on a.user_id = b.user_id left join health_person_body_record c on a.user_id = c.user_id and c.if_latest = 1 left join health_person_info_chronic d on a.user_id = d.user_id where a.user_id = #{userId} group by a.user_id, a.user_name, a.phonenumber, a.sex, a.dept_id, a.user_type, b.marital_status, b.pregnant_status, b.pregnancy_date, b.doctor_advice, b.if_hospitalized, b.doctor_num, b.hospital_num, b.inpatient_date, b.inpatient_result, b.weight_control, b.allergen, b.labour_intensity, b.health_state, b.blood_type, c.height, c.weight, c.bmi, c.shape, c.bust, c.waistline, c.blood_sugar, c.blood_fat, c.blood_pressure_high, c.blood_pressure_low, c.heart_rate, c.blood_oxygen, c.uric_acid, c.blood_pressure insert into health_person_info id, user_id, register_date, blood_type, marital_status, pregnant_status, pregnancy_date, doctor_advice, if_hospitalized, doctor_num, hospital_num, inpatient_date, inpatient_result, weight_control, allergen, labour_intensity, health_state, create_by, create_time, update_by, update_time, #{id}, #{userId}, #{registerDate}, #{bloodType}, #{maritalStatus}, #{pregnantStatus}, #{pregnancyDate}, #{doctorAdvice}, #{ifHospitalized}, #{doctorNum}, #{hospitalNum}, #{inpatientDate}, #{inpatientResult}, #{weightControl}, #{allergen}, #{labourIntensity}, #{healthState}, #{createBy}, #{createTime}, #{updateBy}, #{updateTime}, update health_person_info user_id = #{userId}, register_date = #{registerDate}, blood_type = #{bloodType}, marital_status = #{maritalStatus}, pregnant_status = #{pregnantStatus}, pregnancy_date = #{pregnancyDate}, doctor_advice = #{doctorAdvice}, if_hospitalized = #{ifHospitalized}, doctor_num = #{doctorNum}, hospital_num = #{hospitalNum}, inpatient_date = #{inpatientDate}, inpatient_result = #{inpatientResult}, weight_control = #{weightControl}, allergen = #{allergen}, labour_intensity = #{labourIntensity}, health_state = #{healthState}, create_by = #{createBy}, create_time = #{createTime}, update_by = #{updateBy}, update_time = #{updateTime}, where id = #{id} delete from health_person_info where id = #{id} delete from health_person_info where id in #{id} SELECT distinct chronic_id as chronic_ids,chronic_name as chronic_names from health_chronic where chronic_id in (${chronicIds}) SELECT a.user_id, a.nick_name, a.phonenumber as mobile, a.photo_url as custPhotoUrl, a.sex, d.height, d.weight, d.bmi, b.doctor_advice, b.allergen, b.labour_intensity, b.pregnant_status, GROUP_CONCAT(c.chronic_name ORDER BY c.chronic_id desc) AS chronic_names, GROUP_CONCAT(c.chronic_id ORDER BY c.chronic_id desc) AS chronic_ids from sys_user a left join health_person_info b on a.user_id = b.user_id left join health_person_info_chronic c on a.user_id = c.user_id left join health_person_body_record d on a.user_id = d.user_id and d.if_latest = 1 where 1 = 1 and a.user_id = #{userId} group by a.user_id, a.nick_name, a.dept_id, a.phonenumber, a.photo_url, a.sex, d.height, d.weight, d.bmi, b.doctor_advice, b.allergen, b.labour_intensity, b.pregnant_status select a.user_id, a.nick_name, a.phonenumber as mobile, a.sex, a.dept_id as orgId, a.user_type, b.marital_status, b.pregnant_status, b.pregnancy_date, b.doctor_advice, b.if_hospitalized, b.doctor_num, b.hospital_num, b.inpatient_date, b.inpatient_result, b.weight_control, b.allergen, b.labour_intensity, b.health_state, b.blood_type, c.height, c.weight, c.bmi, c.shape, c.bust, c.waistline, c.blood_sugar, c.blood_fat, c.blood_pressure_high, c.blood_pressure_low, c.heart_rate, c.blood_oxygen, c.uric_acid, c.blood_pressure, GROUP_CONCAT(d.chronic_name ORDER BY d.chronic_id desc) AS chronic_names, GROUP_CONCAT(d.chronic_id ORDER BY d.chronic_id desc) AS chronic_ids from sys_user a left join health_person_info b on a.user_id = b.user_id left join health_person_body_record c on a.user_id = c.user_id and c.if_latest = 1 left join health_person_info_chronic d on a.user_id = d.user_id where a.user_id = #{userId} group by a.user_id, a.user_name, a.phonenumber, a.sex, a.dept_id, a.user_type, b.marital_status, b.pregnant_status, b.pregnancy_date, b.doctor_advice, b.if_hospitalized, b.doctor_num, b.hospital_num, b.inpatient_date, b.inpatient_result, b.weight_control, b.allergen, b.labour_intensity, b.health_state, b.blood_type, c.height, c.weight, c.bmi, c.shape, c.bust, c.waistline, c.blood_sugar, c.blood_fat, c.blood_pressure_high, c.blood_pressure_low, c.heart_rate, c.blood_oxygen, c.uric_acid, c.blood_pressure update health_person_info blood_type = #{bloodType}, marital_status = #{maritalStatus}, pregnant_status = #{pregnantStatus}, pregnancy_date = #{pregnancyDate}, doctor_advice = #{doctorAdvice}, if_hospitalized = #{ifHospitalized}, doctor_num = #{doctorNum}, hospital_num = #{hospitalNum}, inpatient_date = #{inpatientDate}, weight_control = #{weightControl}, allergen = #{allergen}, labour_intensity = #{labourIntensity}, where user_id = #{userId} and del_flag='0' select count(1) from health_person_body_record where user_id=#{userId} and if_latest = 1 insert into health_person_body_record(user_id,if_latest) values (#{userId},1) update health_person_body_record height = #{height}, weight = #{weight}, bmi = #{bmi}, where user_id = #{userId} and if_latest = 1 delete from health_person_info_chronic where user_id = #{userId} delete from health_person_info where user_id = #{userId} insert into health_person_info_chronic(user_id, chronic_id, chronic_name) values (#{entity.userId}, #{entity.chronicIds}, #{entity.chronicNames}) insert into health_person_info(user_id) values (#{userId})