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java中的批量导入,批量更新数据
2023-07-24 18:36:00基础资料围观509次
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批量插入 数据,提高效率
Dao层
int insertBatch(List<HealthImport> list);
xml文件
<insert id="insertBatch" parameterType="java.util.List" >
insert into health_import
(answer_id, sample_num, `name`,
sex, age, select_goal,
pro_id, pro_name, select_result,
sample, patient_id, barcode,
reviewer, idcard, refer_range,
unit, create_time, `result`,
flag, message)
values
<foreach collection="list" index="index" item="monitor" separator=",">
(#{monitor.answerId,jdbcType=INTEGER}, #{monitor.sampleNum,jdbcType=VARCHAR}, #{monitor.name,jdbcType=VARCHAR},
#{monitor.sex,jdbcType=VARCHAR}, #{monitor.age,jdbcType=VARCHAR}, #{monitor.selectGoal,jdbcType=VARCHAR},
#{monitor.proId,jdbcType=VARCHAR}, #{monitor.proName,jdbcType=VARCHAR}, #{monitor.selectResult,jdbcType=VARCHAR},
#{monitor.sample,jdbcType=VARCHAR}, #{monitor.patientId,jdbcType=VARCHAR}, #{monitor.barcode,jdbcType=VARCHAR},
#{monitor.reviewer,jdbcType=VARCHAR}, #{monitor.idcard,jdbcType=VARCHAR}, #{monitor.referRange,jdbcType=VARCHAR},
#{monitor.unit,jdbcType=VARCHAR}, #{monitor.createTime,jdbcType=TIMESTAMP}, #{monitor.result,jdbcType=INTEGER},
#{monitor.flag,jdbcType=INTEGER}, #{monitor.message,jdbcType=VARCHAR})
</foreach>
</insert>
批量 更新数据 提高效率
Dao层
int updateBatch(List<HealthImport> list);
xml文件
<update id="updateBatch" parameterType="java.util.List" >
<foreach collection="list" item="item" index="index" open="" close="" separator=";">
update health_import
<set>
<if test="item.answerId != null">
answer_id = #{item.answerId,jdbcType=INTEGER},
</if>
<if test="item.sampleNum != null">
sample_num = #{item.sampleNum,jdbcType=VARCHAR},
</if>
<if test="item.name != null">
`name` = #{item.name,jdbcType=VARCHAR},
</if>
<if test="item.sex != null">
sex = #{item.sex,jdbcType=VARCHAR},
</if>
<if test="item.age != null">
age = #{item.age,jdbcType=VARCHAR},
</if>
<if test="item.selectGoal != null">
select_goal = #{item.selectGoal,jdbcType=VARCHAR},
</if>
<if test="item.proId != null">
pro_id = #{item.proId,jdbcType=VARCHAR},
</if>
<if test="item.proName != null">
pro_name = #{item.proName,jdbcType=VARCHAR},
</if>
<if test="item.selectResult != null">
select_result = #{item.selectResult,jdbcType=VARCHAR},
</if>
<if test="item.sample != null">
sample = #{item.sample,jdbcType=VARCHAR},
</if>
<if test="item.patientId != null">
patient_id = #{item.patientId,jdbcType=VARCHAR},
</if>
<if test="item.barcode != null">
barcode = #{item.barcode,jdbcType=VARCHAR},
</if>
<if test="item.reviewer != null">
reviewer = #{item.reviewer,jdbcType=VARCHAR},
</if>
<if test="item.idcard != null">
idCard = #{item.idcard,jdbcType=VARCHAR},
</if>
<if test="item.referRange != null">
refer_range = #{item.referRange,jdbcType=VARCHAR},
</if>
<if test="item.unit != null">
unit = #{item.unit,jdbcType=VARCHAR},
</if>
<if test="item.createTime != null">
create_time = #{item.createTime,jdbcType=TIMESTAMP},
</if>
<if test="item.result != null">
`result` = #{item.result,jdbcType=INTEGER},
</if>
<if test="item.flag != null">
flag = #{item.flag,jdbcType=INTEGER},
</if>
<if test="item.message != null">
message = #{item.message,jdbcType=INTEGER}
</if>
</set>
where pro_id = #{item.proId,jdbcType=VARCHAR} and sample_num = #{item.sampleNum,jdbcType=VARCHAR}
</foreach>
</update>
文章来源:https://www.cnblogs.com/xingmeng63/p/16493271.html
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