1、新增功能探针联动处置、心跳在线检测

2、syslog-consumer模块拆分 syslog-consumer-rule模块实现日志数据消费、解析、泛化入库。
2026-05-28 14:30:06 +08:00
parent 19c563b3f3
commit a360895292
1479 changed files with 116572 additions and 4549 deletions
@@ -0,0 +1,62 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.common.mapper.AnalysisGroupByHavingMapper">
+
+    <resultMap id="BaseResultMap" type="com.common.entity.AnalysisGroupByHaving">
+        <id column="id" property="id" jdbcType="INTEGER"/>
+        <result column="group_by_id" property="groupById" jdbcType="INTEGER"/>
+        <result column="data_source" property="dataSource" jdbcType="VARCHAR"/>
+        <result column="database" property="database" jdbcType="VARCHAR"/>
+        <result column="table_name" property="tableName" jdbcType="VARCHAR"/>
+        <result column="table_alias" property="tableAlias" jdbcType="VARCHAR"/>
+        <result column="column_name" property="columnName" jdbcType="VARCHAR"/>
+        <result column="column_desc" property="columnDesc" jdbcType="VARCHAR"/>
+        <result column="data_type" property="dataType" jdbcType="VARCHAR"/>
+        <result column="fn" property="fn" jdbcType="VARCHAR"/>
+        <result column="arguments" property="arguments" jdbcType="OTHER"/>
+        <result column="operator" property="operator" jdbcType="VARCHAR"/>
+        <result column="value" property="value" jdbcType="OTHER"/>
+        <result column="base_type" property="baseType" jdbcType="INTEGER"/>
+        <result column="category_id" property="categoryId" jdbcType="INTEGER"/>
+        <result column="create_dept" property="createDept" jdbcType="BIGINT"/>
+        <result column="del_flag" property="delFlag" jdbcType="CHAR"/>
+        <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/>
+        <result column="update_time" property="updateTime" jdbcType="TIMESTAMP"/>
+        <result column="create_by" property="createBy" jdbcType="BIGINT"/>
+        <result column="update_by" property="updateBy" jdbcType="BIGINT"/>
+        <result column="remark" property="remark" jdbcType="VARCHAR"/>
+        <result column="tenant_id" property="tenantId" jdbcType="VARCHAR"/>
+    </resultMap>
+
+    <sql id="Base_Column_List">
+        id, group_by_id, data_source, database, table_name, table_alias,
+        column_name, column_desc, data_type, fn, arguments, operator, value,
+        base_type, category_id, create_dept, del_flag, create_time,
+        update_time, create_by, update_by, remark, tenant_id
+    </sql>
+
+    <!-- 根据分组ID查询HAVING条件 -->
+    <select id="selectByGroupById" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_group_by_having
+        WHERE group_by_id = #{groupById}
+        AND del_flag = '0'
+    </select>
+
+    <!-- 根据规则ID查询HAVING条件（通过关联分组表） -->
+    <select id="selectByRuleId" resultMap="BaseResultMap">
+        SELECT
+        h.id, h.group_by_id, h.data_source, h.database, h.table_name, h.table_alias,
+        h.column_name, h.column_desc, h.data_type, h.fn, h.arguments, h.operator, h.value,
+        h.base_type, h.category_id, h.create_dept, h.del_flag, h.create_time,
+        h.update_time, h.create_by, h.update_by, h.remark, h.tenant_id
+        FROM analysis_group_by_having h
+        INNER JOIN analysis_group_by g ON h.group_by_id = g.id
+        WHERE g.rule_id =#{ruleId, jdbcType=OTHER}::uuid
+        AND h.del_flag = '0'
+        AND g.del_flag = '0'
+        ORDER BY h.id ASC
+    </select>
+
+</mapper>