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}