<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE mapper
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PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
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"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
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<mapper namespace="com.linghu.mapper.KeywordMapper">
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<resultMap id="BaseResultMap" type="com.linghu.model.entity.Keyword">
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<id property="keyword_id" column="keyword_id" jdbcType="INTEGER"/>
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<result property="order_id" column="order_id" jdbcType="VARCHAR"/>
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<result property="keyword_name" column="keyword_name" jdbcType="VARCHAR"/>
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<result property="num" column="num" jdbcType="INTEGER"/>
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<result property="task_id" column="task_id" jdbcType="VARCHAR"/>
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<result property="status" column="status" jdbcType="VARCHAR"/>
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</resultMap>
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<sql id="Base_Column_List">
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keyword_id,order_id,keyword_name,
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num,task_id,status
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</sql>
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<select id="statics" resultType="com.linghu.model.vo.KeywordStaticsVO">
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SELECT
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p.platform_id,
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p.platform_name,
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SUM( r.repetition_num ) AS total_repetitions,
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ROUND(
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SUM( r.repetition_num ) * 100.0 / (
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SELECT
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SUM( r2.repetition_num )
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FROM
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reference r2
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WHERE
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r2.keyword_id = #{keywordId}
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<if test = "questionId != null" >
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AND r2.question_id = #{questionId}
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</if>
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AND r2.num = #{num}
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),2) AS repetition_ratio
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FROM
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reference r
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JOIN platform p ON r.platform_id = p.platform_id
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WHERE
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r.keyword_id = #{keywordId}
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<if test = "questionId != null" >
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AND r.question_id = #{questionId}
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</if>
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AND r.num = #{num}
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GROUP BY
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p.platform_id,
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p.platform_name
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ORDER BY
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total_repetitions DESC
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</select>
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<select id="getResultByTypeId" resultType="com.linghu.model.vo.PlatformProportionVO">
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SELECT
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t.type_name,
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p.platform_name,
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SUM(r.repetition_num) AS total_repetitions,
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-- 全平台分布占比 = 当前平台重复次数 / 所有平台重复次数
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ROUND(SUM(r.repetition_num) * 100.0 / (
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SELECT SUM(r2.repetition_num)
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FROM reference r2
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WHERE r2.keyword_id = #{keywordId}
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<if test="questionId != null">
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AND r2.question_id = #{questionId}
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</if>
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AND r2.num = #{num}
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), 2) AS all_platform_ratio,
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-- 同类平台分布占比 = 当前平台重复次数 / 同类型平台重复次数
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ROUND(SUM(r.repetition_num) * 100.0 / (
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SELECT SUM(r3.repetition_num)
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FROM reference r3
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JOIN platform p3 ON r3.platform_id = p3.platform_id
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WHERE r3.keyword_id = #{keywordId}
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<if test="questionId != null">
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AND r3.question_id = #{questionId}
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</if>
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AND r3.num = #{num}
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AND p3.type_id = p.type_id
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), 2) AS same_type_ratio
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FROM
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reference r
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JOIN
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platform p ON r.platform_id = p.platform_id
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JOIN
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type t ON p.type_id = t.type_id
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WHERE
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r.keyword_id = #{keywordId}
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<if test="questionId != null">
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AND r.question_id = #{questionId}
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</if>
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AND r.num = #{num}
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<if test="typeId != null">
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AND p.type_id = #{typeId}
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</if>
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GROUP BY t.type_name,p.platform_name
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ORDER BY
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total_repetitions DESC
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</select>
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<select id="getResultByPlatformId" resultType="com.linghu.model.vo.ResultListVO">
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SELECT
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r.reference_id,
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p.platform_name,
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r.title,
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r.repetition_num,
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r.create_time,
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r.url
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FROM
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reference r
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JOIN
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platform p ON r.platform_id = p.platform_id
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WHERE
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r.keyword_id = #{keywordId}
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<if test="questionId != null">
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AND r.question_id = #{questionId}
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</if>
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AND r.num = #{num}
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<if test="platformId != null">
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AND r.platform_id = #{platformId}
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</if>
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ORDER BY
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r.repetition_num DESC
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</select>
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<select id="getTypeIds" resultType="java.lang.Integer">
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SELECT DISTINCT t.type_id -- 使用 DISTINCT 去重，确保每个 type_id 只出现一次
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FROM reference r
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JOIN platform p ON r.platform_id = p.platform_id
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JOIN type t ON p.type_id = t.type_id
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WHERE r.keyword_id = #{keywordId}
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<if test="questionId != null">
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AND r.question_id = #{questionId}
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</if>
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<if test="isNow != null">
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<!-- 当 isNow=1 时使用 keyword.num，否则使用 1 -->
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AND r.num =
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<choose>
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<when test="isNow == 1">
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#{keyword.num}
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</when>
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<otherwise>
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1
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</otherwise>
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</choose>
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</if>
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ORDER BY t.type_id -- 按 type_id 排序，结果更规范
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</select>
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</mapper>
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