and ${criterion.condition}
and ${criterion.condition} #{criterion.value}
and ${criterion.condition} #{criterion.value} and #{criterion.secondValue}
and ${criterion.condition}
#{listItem}
and ${criterion.condition}
and ${criterion.condition} #{criterion.value}
and ${criterion.condition} #{criterion.value} and #{criterion.secondValue}
and ${criterion.condition}
#{listItem}
id, uid, username, sex, date_of_birth_year, date_of_birth_month, id_number, positive_id_url,
opposite_id_url, province, city, area, contact_mobile, bank_name, bank_account, bank_card_number,
amount_money, audit_status, process, wrong_count, payment_date, expert,
international, fixed_tel, qq, postal_address, postcode, review_instructions, industry,
contacts, email, professional_title, work_unit, education, major_category, qualification,
graduate_school, consultation_price
delete from user_identity
where id = #{id,jdbcType=VARCHAR}
delete from user_identity
insert into user_identity (id, uid, username,
sex, date_of_birth_year, date_of_birth_month,
id_number, positive_id_url, opposite_id_url,
province, city, area,
contact_mobile, bank_name, bank_account,
bank_card_number, amount_money, audit_status,
process, wrong_count, payment_date,
expert, international,
fixed_tel, qq, postal_address,
postcode, review_instructions, industry,
contacts, email, professional_title,
work_unit, education, major_category,
qualification, graduate_school,
consultation_price)
values (#{id,jdbcType=VARCHAR}, #{uid,jdbcType=VARCHAR}, #{username,jdbcType=VARCHAR},
#{sex,jdbcType=VARCHAR}, #{dateOfBirthYear,jdbcType=VARCHAR}, #{dateOfBirthMonth,jdbcType=VARCHAR},
#{idNumber,jdbcType=VARCHAR}, #{positiveIdUrl,jdbcType=VARCHAR}, #{oppositeIdUrl,jdbcType=VARCHAR},
#{province,jdbcType=INTEGER}, #{city,jdbcType=INTEGER}, #{area,jdbcType=INTEGER},
#{contactMobile,jdbcType=VARCHAR}, #{bankName,jdbcType=VARCHAR}, #{bankAccount,jdbcType=VARCHAR},
#{bankCardNumber,jdbcType=VARCHAR}, #{amountMoney,jdbcType=DECIMAL}, #{auditStatus,jdbcType=INTEGER},
#{process,jdbcType=INTEGER}, #{wrongCount,jdbcType=INTEGER}, #{paymentDate,jdbcType=TIMESTAMP},
#{expert,jdbcType=INTEGER}, #{international,jdbcType=INTEGER},
#{fixedTel,jdbcType=VARCHAR}, #{qq,jdbcType=VARCHAR}, #{postalAddress,jdbcType=VARCHAR},
#{postcode,jdbcType=VARCHAR}, #{reviewInstructions,jdbcType=VARCHAR}, #{industry,jdbcType=INTEGER},
#{contacts,jdbcType=VARCHAR}, #{email,jdbcType=VARCHAR}, #{professionalTitle,jdbcType=VARCHAR},
#{workUnit,jdbcType=VARCHAR}, #{education,jdbcType=VARCHAR}, #{majorCategory,jdbcType=VARCHAR},
#{qualification,jdbcType=VARCHAR}, #{graduateSchool,jdbcType=VARCHAR},
#{consultationPrice,jdbcType=DECIMAL})
insert into user_identity
id,
uid,
username,
sex,
date_of_birth_year,
date_of_birth_month,
id_number,
positive_id_url,
opposite_id_url,
province,
city,
area,
contact_mobile,
bank_name,
bank_account,
bank_card_number,
amount_money,
audit_status,
process,
wrong_count,
payment_date,
expert,
international,
fixed_tel,
qq,
postal_address,
postcode,
review_instructions,
industry,
contacts,
email,
professional_title,
work_unit,
education,
major_category,
qualification,
graduate_school,
consultation_price,
#{id,jdbcType=VARCHAR},
#{uid,jdbcType=VARCHAR},
#{username,jdbcType=VARCHAR},
#{sex,jdbcType=VARCHAR},
#{dateOfBirthYear,jdbcType=VARCHAR},
#{dateOfBirthMonth,jdbcType=VARCHAR},
#{idNumber,jdbcType=VARCHAR},
#{positiveIdUrl,jdbcType=VARCHAR},
#{oppositeIdUrl,jdbcType=VARCHAR},
#{province,jdbcType=INTEGER},
#{city,jdbcType=INTEGER},
#{area,jdbcType=INTEGER},
#{contactMobile,jdbcType=VARCHAR},
#{bankName,jdbcType=VARCHAR},
#{bankAccount,jdbcType=VARCHAR},
#{bankCardNumber,jdbcType=VARCHAR},
#{amountMoney,jdbcType=DECIMAL},
#{auditStatus,jdbcType=INTEGER},
#{process,jdbcType=INTEGER},
#{wrongCount,jdbcType=INTEGER},
#{paymentDate,jdbcType=TIMESTAMP},
#{expert,jdbcType=INTEGER},
#{international,jdbcType=INTEGER},
#{fixedTel,jdbcType=VARCHAR},
#{qq,jdbcType=VARCHAR},
#{postalAddress,jdbcType=VARCHAR},
#{postcode,jdbcType=VARCHAR},
#{reviewInstructions,jdbcType=VARCHAR},
#{industry,jdbcType=INTEGER},
#{contacts,jdbcType=VARCHAR},
#{email,jdbcType=VARCHAR},
#{professionalTitle,jdbcType=VARCHAR},
#{workUnit,jdbcType=VARCHAR},
#{education,jdbcType=VARCHAR},
#{majorCategory,jdbcType=VARCHAR},
#{qualification,jdbcType=VARCHAR},
#{graduateSchool,jdbcType=VARCHAR},
#{consultationPrice,jdbcType=DECIMAL},
update user_identity
id = #{record.id,jdbcType=VARCHAR},
uid = #{record.uid,jdbcType=VARCHAR},
username = #{record.username,jdbcType=VARCHAR},
sex = #{record.sex,jdbcType=VARCHAR},
date_of_birth_year = #{record.dateOfBirthYear,jdbcType=VARCHAR},
date_of_birth_month = #{record.dateOfBirthMonth,jdbcType=VARCHAR},
id_number = #{record.idNumber,jdbcType=VARCHAR},
positive_id_url = #{record.positiveIdUrl,jdbcType=VARCHAR},
opposite_id_url = #{record.oppositeIdUrl,jdbcType=VARCHAR},
province = #{record.province,jdbcType=INTEGER},
city = #{record.city,jdbcType=INTEGER},
area = #{record.area,jdbcType=INTEGER},
contact_mobile = #{record.contactMobile,jdbcType=VARCHAR},
bank_name = #{record.bankName,jdbcType=VARCHAR},
bank_account = #{record.bankAccount,jdbcType=VARCHAR},
bank_card_number = #{record.bankCardNumber,jdbcType=VARCHAR},
amount_money = #{record.amountMoney,jdbcType=DECIMAL},
audit_status = #{record.auditStatus,jdbcType=INTEGER},
process = #{record.process,jdbcType=INTEGER},
wrong_count = #{record.wrongCount,jdbcType=INTEGER},
payment_date = #{record.paymentDate,jdbcType=TIMESTAMP},
expert = #{record.expert,jdbcType=INTEGER},
international = #{record.international,jdbcType=INTEGER},
fixed_tel = #{record.fixedTel,jdbcType=VARCHAR},
qq = #{record.qq,jdbcType=VARCHAR},
postal_address = #{record.postalAddress,jdbcType=VARCHAR},
postcode = #{record.postcode,jdbcType=VARCHAR},
review_instructions = #{record.reviewInstructions,jdbcType=VARCHAR},
industry = #{record.industry,jdbcType=INTEGER},
contacts = #{record.contacts,jdbcType=VARCHAR},
email = #{record.email,jdbcType=VARCHAR},
professional_title = #{record.professionalTitle,jdbcType=VARCHAR},
work_unit = #{record.workUnit,jdbcType=VARCHAR},
education = #{record.education,jdbcType=VARCHAR},
major_category = #{record.majorCategory,jdbcType=VARCHAR},
qualification = #{record.qualification,jdbcType=VARCHAR},
graduate_school = #{record.graduateSchool,jdbcType=VARCHAR},
consultation_price = #{record.consultationPrice,jdbcType=DECIMAL},
update user_identity
set id = #{record.id,jdbcType=VARCHAR},
uid = #{record.uid,jdbcType=VARCHAR},
username = #{record.username,jdbcType=VARCHAR},
sex = #{record.sex,jdbcType=VARCHAR},
date_of_birth_year = #{record.dateOfBirthYear,jdbcType=VARCHAR},
date_of_birth_month = #{record.dateOfBirthMonth,jdbcType=VARCHAR},
id_number = #{record.idNumber,jdbcType=VARCHAR},
positive_id_url = #{record.positiveIdUrl,jdbcType=VARCHAR},
opposite_id_url = #{record.oppositeIdUrl,jdbcType=VARCHAR},
province = #{record.province,jdbcType=INTEGER},
city = #{record.city,jdbcType=INTEGER},
area = #{record.area,jdbcType=INTEGER},
contact_mobile = #{record.contactMobile,jdbcType=VARCHAR},
bank_name = #{record.bankName,jdbcType=VARCHAR},
bank_account = #{record.bankAccount,jdbcType=VARCHAR},
bank_card_number = #{record.bankCardNumber,jdbcType=VARCHAR},
amount_money = #{record.amountMoney,jdbcType=DECIMAL},
audit_status = #{record.auditStatus,jdbcType=INTEGER},
process = #{record.process,jdbcType=INTEGER},
wrong_count = #{record.wrongCount,jdbcType=INTEGER},
payment_date = #{record.paymentDate,jdbcType=TIMESTAMP},
expert = #{record.expert,jdbcType=INTEGER},
international = #{record.international,jdbcType=INTEGER},
fixed_tel = #{record.fixedTel,jdbcType=VARCHAR},
qq = #{record.qq,jdbcType=VARCHAR},
postal_address = #{record.postalAddress,jdbcType=VARCHAR},
postcode = #{record.postcode,jdbcType=VARCHAR},
review_instructions = #{record.reviewInstructions,jdbcType=VARCHAR},
industry = #{record.industry,jdbcType=INTEGER},
contacts = #{record.contacts,jdbcType=VARCHAR},
email = #{record.email,jdbcType=VARCHAR},
professional_title = #{record.professionalTitle,jdbcType=VARCHAR},
work_unit = #{record.workUnit,jdbcType=VARCHAR},
education = #{record.education,jdbcType=VARCHAR},
major_category = #{record.majorCategory,jdbcType=VARCHAR},
qualification = #{record.qualification,jdbcType=VARCHAR},
graduate_school = #{record.graduateSchool,jdbcType=VARCHAR},
consultation_price = #{record.consultationPrice,jdbcType=DECIMAL}
update user_identity
uid = #{uid,jdbcType=VARCHAR},
username = #{username,jdbcType=VARCHAR},
sex = #{sex,jdbcType=VARCHAR},
date_of_birth_year = #{dateOfBirthYear,jdbcType=VARCHAR},
date_of_birth_month = #{dateOfBirthMonth,jdbcType=VARCHAR},
id_number = #{idNumber,jdbcType=VARCHAR},
positive_id_url = #{positiveIdUrl,jdbcType=VARCHAR},
opposite_id_url = #{oppositeIdUrl,jdbcType=VARCHAR},
province = #{province,jdbcType=INTEGER},
city = #{city,jdbcType=INTEGER},
area = #{area,jdbcType=INTEGER},
contact_mobile = #{contactMobile,jdbcType=VARCHAR},
bank_name = #{bankName,jdbcType=VARCHAR},
bank_account = #{bankAccount,jdbcType=VARCHAR},
bank_card_number = #{bankCardNumber,jdbcType=VARCHAR},
amount_money = #{amountMoney,jdbcType=DECIMAL},
audit_status = #{auditStatus,jdbcType=INTEGER},
process = #{process,jdbcType=INTEGER},
wrong_count = #{wrongCount,jdbcType=INTEGER},
payment_date = #{paymentDate,jdbcType=TIMESTAMP},
expert = #{expert,jdbcType=INTEGER},
international = #{international,jdbcType=INTEGER},
fixed_tel = #{fixedTel,jdbcType=VARCHAR},
qq = #{qq,jdbcType=VARCHAR},
postal_address = #{postalAddress,jdbcType=VARCHAR},
postcode = #{postcode,jdbcType=VARCHAR},
review_instructions = #{reviewInstructions,jdbcType=VARCHAR},
industry = #{industry,jdbcType=INTEGER},
contacts = #{contacts,jdbcType=VARCHAR},
email = #{email,jdbcType=VARCHAR},
professional_title = #{professionalTitle,jdbcType=VARCHAR},
work_unit = #{workUnit,jdbcType=VARCHAR},
education = #{education,jdbcType=VARCHAR},
major_category = #{majorCategory,jdbcType=VARCHAR},
qualification = #{qualification,jdbcType=VARCHAR},
graduate_school = #{graduateSchool,jdbcType=VARCHAR},
consultation_price = #{consultationPrice,jdbcType=DECIMAL},
expert_audit = #{expertAudit,jdbcType=DECIMAL},
release_status = #{releaseStatus,jdbcType=DECIMAL},
where id = #{id,jdbcType=VARCHAR}
update user_identity
set uid = #{uid,jdbcType=VARCHAR},
username = #{username,jdbcType=VARCHAR},
sex = #{sex,jdbcType=VARCHAR},
date_of_birth_year = #{dateOfBirthYear,jdbcType=VARCHAR},
date_of_birth_month = #{dateOfBirthMonth,jdbcType=VARCHAR},
id_number = #{idNumber,jdbcType=VARCHAR},
positive_id_url = #{positiveIdUrl,jdbcType=VARCHAR},
opposite_id_url = #{oppositeIdUrl,jdbcType=VARCHAR},
province = #{province,jdbcType=INTEGER},
city = #{city,jdbcType=INTEGER},
area = #{area,jdbcType=INTEGER},
contact_mobile = #{contactMobile,jdbcType=VARCHAR},
bank_name = #{bankName,jdbcType=VARCHAR},
bank_account = #{bankAccount,jdbcType=VARCHAR},
bank_card_number = #{bankCardNumber,jdbcType=VARCHAR},
amount_money = #{amountMoney,jdbcType=DECIMAL},
audit_status = #{auditStatus,jdbcType=INTEGER},
process = #{process,jdbcType=INTEGER},
wrong_count = #{wrongCount,jdbcType=INTEGER},
payment_date = #{paymentDate,jdbcType=TIMESTAMP},
expert = #{expert,jdbcType=INTEGER},
international = #{international,jdbcType=INTEGER},
fixed_tel = #{fixedTel,jdbcType=VARCHAR},
qq = #{qq,jdbcType=VARCHAR},
postal_address = #{postalAddress,jdbcType=VARCHAR},
postcode = #{postcode,jdbcType=VARCHAR},
review_instructions = #{reviewInstructions,jdbcType=VARCHAR},
industry = #{industry,jdbcType=INTEGER},
contacts = #{contacts,jdbcType=VARCHAR},
email = #{email,jdbcType=VARCHAR},
professional_title = #{professionalTitle,jdbcType=VARCHAR},
work_unit = #{workUnit,jdbcType=VARCHAR},
education = #{education,jdbcType=VARCHAR},
major_category = #{majorCategory,jdbcType=VARCHAR},
qualification = #{qualification,jdbcType=VARCHAR},
graduate_school = #{graduateSchool,jdbcType=VARCHAR},
consultation_price = #{consultationPrice,jdbcType=DECIMAL}
where id = #{id,jdbcType=VARCHAR}