feat: snail-job_1.0.0 postgres 迁移
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dhb52
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commit
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@ -17,7 +17,7 @@
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</resultMap>
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<!-- 定义批量新增的 SQL 映射 -->
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<insert id="batchInsert" parameterType="java.util.List">
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INSERT INTO job_log_message
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INSERT INTO sj_job_log_message
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(
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namespace_id,
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group_name,
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@ -27,16 +27,16 @@
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</resultMap>
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<update id="updateBatchNextTriggerAtById" parameterType="java.util.List">
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UPDATE job AS rt
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SET next_trigger_at = tt.next_trigger_at
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FROM (
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<foreach collection="list" item="item" index="index" separator="UNION ALL">
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select
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#{item.nextTriggerAt} as next_trigger_at,
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#{item.id} as id
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</foreach>
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) AS tt
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WHERE rt.id = tt.id
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UPDATE sj_job AS rt
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SET next_trigger_at = tt.next_trigger_at
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FROM (
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<foreach collection="list" item="item" index="index" separator="UNION ALL">
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select
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#{item.nextTriggerAt} as next_trigger_at,
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#{item.id} as id
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</foreach>
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) AS tt
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WHERE rt.id = tt.id
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</update>
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</mapper>
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@ -20,7 +20,7 @@
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</resultMap>
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<insert id="batchInsert" parameterType="java.util.List" useGeneratedKeys="true" keyProperty="id">
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INSERT INTO job_summary (namespace_id, group_name, business_id, trigger_at, system_task_type,
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INSERT INTO sj_job_summary (namespace_id, group_name, business_id, trigger_at, system_task_type,
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success_num,fail_num,fail_reason,stop_num,stop_reason, cancel_num,cancel_reason)
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VALUES
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<foreach collection="list" item="item" separator=",">
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@ -42,7 +42,7 @@
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</insert>
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<update id="batchUpdate" parameterType="java.util.List">
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UPDATE job_summary AS rt
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UPDATE sj_job_summary AS rt
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SET success_num = tt.success_num,
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fail_num = tt.fail_num,
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fail_reason = tt.fail_reason,
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@ -78,7 +78,7 @@
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COALESCE(SUM(cancel_num), 0) AS cancel,
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COALESCE(SUM(fail_num + stop_num + cancel_num), 0) AS fail,
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COALESCE(SUM(success_num + fail_num + stop_num + cancel_num), 0) AS total
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FROM job_summary
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FROM sj_job_summary
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${ew.customSqlSegment}
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GROUP BY createDt
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</select>
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@ -90,7 +90,7 @@
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COALESCE(sum(cancel_num), 0) AS cancelNum,
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COALESCE(sum(fail_num), 0) AS failNum,
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COALESCE(sum(success_num + fail_num + stop_num + cancel_num), 0) AS totalNum
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FROM job_summary
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FROM sj_job_summary
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${ew.customSqlSegment}
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</select>
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@ -98,13 +98,13 @@
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resultType="com.aizuda.snailjob.template.datasource.persistence.dataobject.DashboardRetryLineResponseDO$Rank">
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SELECT
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<if test="systemTaskType == 3">
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CONCAT(group_name, '/', (SELECT job_name FROM job WHERE id = business_id)) name,
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CONCAT(group_name, '/', (SELECT job_name FROM sj_job WHERE id = business_id)) name,
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</if>
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<if test="systemTaskType == 4">
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CONCAT(group_name, '/', (SELECT workflow_name FROM workflow WHERE id = business_id)) name,
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CONCAT(group_name, '/', (SELECT workflow_name FROM sj_workflow WHERE id = business_id)) name,
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</if>
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SUM(fail_num) AS total
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FROM job_summary
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FROM sj_job_summary
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${ew.customSqlSegment}
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HAVING SUM(fail_num) > 0
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ORDER BY total DESC LIMIT 10
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@ -115,7 +115,7 @@
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SELECT group_name AS groupName,
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SUM(CASE WHEN (job_status = 1) THEN 1 ELSE 0 END) AS run,
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count(*) AS total
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FROM job
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FROM sj_job
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${ew.customSqlSegment}
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GROUP BY namespace_id, group_name
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</select>
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@ -19,21 +19,22 @@
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id, namespace_id, unique_id, group_name, scene_name, idempotent_id, biz_no, executor_name, args_str, ext_attrs, create_dt, task_type
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</sql>
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<insert id="insertBatch">
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insert into retry_dead_letter (namespace_id, unique_id, group_name, scene_name,
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idempotent_id, biz_no, executor_name, args_str,
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ext_attrs, create_dt
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)
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values
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INSERT INTO sj_retry_dead_letter (namespace_id, unique_id, group_name, scene_name,
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idempotent_id, biz_no, executor_name, args_str,
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ext_attrs, create_dt)
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VALUES
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<foreach collection="retryDeadLetters" item="retryDeadLetter" separator=",">
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(#{retryDeadLetter.namespaceId,jdbcType=VARCHAR}, #{retryDeadLetter.uniqueId,jdbcType=VARCHAR}, #{retryDeadLetter.groupName,jdbcType=VARCHAR}, #{retryDeadLetter.sceneName,jdbcType=VARCHAR},
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(
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#{retryDeadLetter.namespaceId,jdbcType=VARCHAR}, #{retryDeadLetter.uniqueId,jdbcType=VARCHAR},
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#{retryDeadLetter.groupName,jdbcType=VARCHAR}, #{retryDeadLetter.sceneName,jdbcType=VARCHAR},
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#{retryDeadLetter.idempotentId,jdbcType=VARCHAR}, #{retryDeadLetter.bizNo,jdbcType=VARCHAR}, #{retryDeadLetter.executorName,jdbcType=VARCHAR}, #{retryDeadLetter.argsStr,jdbcType=VARCHAR},
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#{retryDeadLetter.extAttrs,jdbcType=VARCHAR}, #{retryDeadLetter.createDt,jdbcType=TIMESTAMP})
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</foreach>
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</insert>
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<select id="countRetryDeadLetterByCreateAt" resultType="int">
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select
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count(*)
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from retry_dead_letter_${partition} where create_dt>= #{startTime} and create_dt <=#{endTime}
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SELECT count(*)
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FROM sj_retry_dead_letter_${partition}
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WHERE create_dt>= #{startTime} and create_dt <=#{endTime}
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</select>
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</mapper>
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@ -16,7 +16,7 @@
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</resultMap>
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<insert id="batchInsert" parameterType="java.util.List" useGeneratedKeys="true" keyProperty="id">
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INSERT INTO retry_summary (namespace_id, group_name, scene_name, trigger_at,
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INSERT INTO sj_retry_summary (namespace_id, group_name, scene_name, trigger_at,
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running_num, finish_num, max_count_num, suspend_num)
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VALUES
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<foreach collection="list" item="item" separator=",">
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@ -34,7 +34,7 @@
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</insert>
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<update id="batchUpdate" parameterType="java.util.List">
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UPDATE retry_summary AS rt
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UPDATE sj_retry_summary AS rt
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SET running_num = tt.running_num,
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finish_num = tt.finish_num,
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max_count_num = tt.max_count_num,
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@ -65,7 +65,7 @@
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COALESCE(sum(max_count_num), 0) AS maxCountNum,
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COALESCE(sum(suspend_num), 0) AS suspendNum,
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COALESCE(sum(running_num + finish_num + max_count_num + suspend_num), 0) AS totalNum
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FROM retry_summary
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FROM sj_retry_summary
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${ew.customSqlSegment}
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</select>
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@ -73,7 +73,7 @@
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resultType="com.aizuda.snailjob.template.datasource.persistence.dataobject.DashboardCardResponseDO$RetryTask">
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SELECT
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trigger_at, running_num, finish_num, max_count_num, suspend_num
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FROM retry_summary
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FROM sj_retry_summary
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${ew.customSqlSegment}
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LIMIT 7
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</select>
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@ -87,7 +87,7 @@
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COALESCE(SUM(max_count_num), 0) AS maxCountNum,
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COALESCE(SUM(suspend_num), 0) AS suspendNum,
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COALESCE(SUM(finish_num + running_num + max_count_num + suspend_num), 0) AS total
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FROM retry_summary
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FROM sj_retry_summary
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${ew.customSqlSegment}
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GROUP BY createDt
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</select>
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@ -97,7 +97,7 @@
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SELECT
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CONCAT(group_name, '/', scene_name) name,
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SUM(running_num + finish_num + max_count_num + suspend_num) AS total
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FROM retry_summary
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FROM sj_retry_summary
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${ew.customSqlSegment}
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HAVING SUM(running_num + finish_num + max_count_num + suspend_num) > 0
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ORDER BY total DESC LIMIT 10
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@ -106,9 +106,9 @@
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<select id="retryTaskList"
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resultType="com.aizuda.snailjob.template.datasource.persistence.dataobject.DashboardRetryLineResponseDO$Task">
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SELECT group_name AS groupName,
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sum(CASE WHEN (scene_status = 1) THEN 1 ELSE 0 END) AS run,
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count(*) AS total
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FROM scene_config
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SUM(CASE WHEN (scene_status = 1) THEN 1 ELSE 0 END) AS run,
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COUNT(*) AS total
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FROM sj_retry_scene_config
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${ew.customSqlSegment}
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GROUP BY namespace_id, group_name
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</select>
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@ -23,7 +23,7 @@
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</sql>
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<!-- 定义批量新增的 SQL 映射 -->
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<insert id="batchInsert" parameterType="java.util.List">
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INSERT INTO retry_task_log (unique_id, group_name, scene_name, idempotent_id, biz_no, executor_name,
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INSERT INTO sj_retry_task_log (unique_id, group_name, scene_name, idempotent_id, biz_no, executor_name,
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args_str, ext_attrs, task_type, create_dt, namespace_id)
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VALUES
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<foreach collection="list" item="item" separator=",">
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@ -43,7 +43,7 @@
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SUM(CASE WHEN (retry_status = 1) THEN 1 ELSE 0 END) AS finishNum,
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SUM(CASE WHEN (retry_status = 2) THEN 1 ELSE 0 END) AS maxCountNum,
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SUM(CASE WHEN (retry_status = 3) THEN 1 ELSE 0 END) AS suspendNum
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FROM retry_task_log
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FROM sj_retry_task_log
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${ew.customSqlSegment}
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</select>
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</mapper>
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@ -12,7 +12,7 @@
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</resultMap>
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<insert id="batchInsert" parameterType="java.util.List">
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INSERT INTO retry_task_log_message (namespace_id, group_name, unique_id, log_num, message,
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INSERT INTO sj_retry_task_log_message (namespace_id, group_name, unique_id, log_num, message,
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create_dt, real_time)
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VALUES
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<foreach collection="list" item="item" separator=",">
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@ -29,7 +29,7 @@
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</insert>
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<update id="batchUpdate" parameterType="java.util.List">
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UPDATE retry_task_log_message jlm,
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UPDATE sj_retry_task_log_message jlm,
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(
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<foreach collection="list" item="item" index="index" separator="UNION ALL">
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SELECT
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@ -1,46 +1,56 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
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<mapper namespace="com.aizuda.snailjob.template.datasource.persistence.mapper.RetryTaskMapper">
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<resultMap id="BaseResultMap" type="com.aizuda.snailjob.template.datasource.persistence.po.RetryTask">
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<id column="id" jdbcType="BIGINT" property="id" />
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<result column="namespace_id" jdbcType="VARCHAR" property="namespaceId"/>
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<result column="unique_id" jdbcType="VARCHAR" property="uniqueId"/>
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<result column="group_name" jdbcType="VARCHAR" property="groupName" />
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<result column="scene_name" jdbcType="VARCHAR" property="sceneName" />
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<result column="idempotent_id" jdbcType="VARCHAR" property="idempotentId" />
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<result column="biz_no" jdbcType="VARCHAR" property="bizNo" />
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<result column="executor_name" jdbcType="VARCHAR" property="executorName" />
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<result column="args_str" jdbcType="VARCHAR" property="argsStr" />
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<result column="ext_attrs" jdbcType="VARCHAR" property="extAttrs" />
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<result column="next_trigger_at" jdbcType="TIMESTAMP" property="nextTriggerAt" />
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<result column="retry_count" jdbcType="TINYINT" property="retryCount" />
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<result column="retry_status" jdbcType="TINYINT" property="retryStatus" />
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<result column="task_type" jdbcType="TINYINT" property="taskType"/>
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<result column="create_dt" jdbcType="TIMESTAMP" property="createDt" />
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<result column="update_dt" jdbcType="TIMESTAMP" property="updateDt" />
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</resultMap>
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<sql id="Base_Column_List">
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id, namespace_id, unique_id, group_name, scene_name, idempotent_id, biz_no, executor_name, args_str, ext_attrs, next_trigger_at, retry_count, retry_status,
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create_dt, update_dt, task_type
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</sql>
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<!-- 定义批量新增的 SQL 映射 -->
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<insert id="batchInsert" parameterType="java.util.List">
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INSERT INTO retry_task (namespace_id, unique_id, group_name, scene_name, idempotent_id, biz_no, executor_name, args_str, ext_attrs, next_trigger_at, task_type, retry_status, create_dt)
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VALUES
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<foreach collection="list" item="item" separator=",">
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(#{item.namespaceId}, #{item.uniqueId}, #{item.groupName}, #{item.sceneName}, #{item.idempotentId}, #{item.bizNo}, #{item.executorName}, #{item.argsStr}, #{item.extAttrs}, #{item.nextTriggerAt}, #{item.taskType}, #{item.retryStatus}, #{item.createDt})
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</foreach>
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</insert>
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<update id="updateBatchNextTriggerAtById" parameterType="java.util.List">
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UPDATE retry_task_${partition} AS rt
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SET next_trigger_at = tt.next_trigger_at
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FROM (
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<foreach collection="list" item="item" index="index" separator="UNION ALL">
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select
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#{item.nextTriggerAt} as next_trigger_at,
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#{item.id} as id
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</foreach>
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) AS tt
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WHERE rt.id = tt.id
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</update>
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<resultMap id="BaseResultMap" type="com.aizuda.snailjob.template.datasource.persistence.po.RetryTask">
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<id column="id" jdbcType="BIGINT" property="id" />
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<result column="namespace_id" jdbcType="VARCHAR" property="namespaceId"/>
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<result column="unique_id" jdbcType="VARCHAR" property="uniqueId"/>
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<result column="group_name" jdbcType="VARCHAR" property="groupName" />
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<result column="scene_name" jdbcType="VARCHAR" property="sceneName" />
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<result column="idempotent_id" jdbcType="VARCHAR" property="idempotentId" />
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<result column="biz_no" jdbcType="VARCHAR" property="bizNo" />
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<result column="executor_name" jdbcType="VARCHAR" property="executorName" />
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<result column="args_str" jdbcType="VARCHAR" property="argsStr" />
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<result column="ext_attrs" jdbcType="VARCHAR" property="extAttrs" />
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<result column="next_trigger_at" jdbcType="TIMESTAMP" property="nextTriggerAt" />
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<result column="retry_count" jdbcType="TINYINT" property="retryCount" />
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<result column="retry_status" jdbcType="TINYINT" property="retryStatus" />
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<result column="task_type" jdbcType="TINYINT" property="taskType"/>
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<result column="create_dt" jdbcType="TIMESTAMP" property="createDt" />
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<result column="update_dt" jdbcType="TIMESTAMP" property="updateDt" />
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</resultMap>
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<sql id="Base_Column_List">
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id, namespace_id, unique_id, group_name, scene_name, idempotent_id, biz_no,
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executor_name, args_str, ext_attrs, next_trigger_at, retry_count, retry_status,
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create_dt, update_dt, task_type
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</sql>
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<!-- 定义批量新增的 SQL 映射 -->
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<insert id="batchInsert" parameterType="java.util.List">
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INSERT INTO sj_retry_task (namespace_id, unique_id, group_name, scene_name,
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idempotent_id, biz_no, executor_name, args_str, ext_attrs,
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next_trigger_at, task_type, retry_status, create_dt)
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VALUES
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<foreach collection="list" item="item" separator=",">
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(
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#{item.namespaceId}, #{item.uniqueId}, #{item.groupName},
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#{item.sceneName}, #{item.idempotentId}, #{item.bizNo}, #{item.executorName}, #{item.argsStr},
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#{item.extAttrs}, #{item.nextTriggerAt}, #{item.taskType}, #{item.retryStatus}, #{item.createDt}
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)
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</foreach>
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</insert>
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<update id="updateBatchNextTriggerAtById" parameterType="java.util.List">
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UPDATE sj_retry_task_${partition} AS rt
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SET next_trigger_at = tt.next_trigger_at
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FROM (
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<foreach collection="list" item="item" index="index" separator="UNION ALL">
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SELECT
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#{item.nextTriggerAt} AS next_trigger_at,
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#{item.id} AS id
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</foreach>
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) AS tt
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WHERE rt.id = tt.id
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</update>
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</mapper>
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@ -18,7 +18,7 @@
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</sql>
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<insert id="batchInsert" parameterType="java.util.List" useGeneratedKeys="true" keyProperty="id">
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INSERT INTO server_node (namespace_id, group_name, host_id, host_ip, host_port,
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INSERT INTO sj_server_node (namespace_id, group_name, host_id, host_ip, host_port,
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expire_at, node_type, ext_attrs, create_dt)
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VALUES
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<foreach collection="records" item="item" index="index" separator=",">
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@ -37,7 +37,7 @@
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</insert>
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<update id="batchUpdateExpireAt" parameterType="java.util.List">
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UPDATE server_node AS rt
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UPDATE sj_server_node AS rt
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SET expire_at = tt.expire_at
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FROM (
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<foreach collection="list" item="item" index="index" separator="UNION ALL">
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@ -54,7 +54,7 @@
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<select id="countActivePod"
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resultType="com.aizuda.snailjob.template.datasource.persistence.dataobject.ActivePodQuantityResponseDO">
|
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SELECT node_type as nodeType, count(*) as total
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from server_node
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from sj_server_node
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${ew.customSqlSegment}
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</select>
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</mapper>
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@ -16,16 +16,16 @@
|
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<result column="ext_attrs" property="extAttrs" />
|
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</resultMap>
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<update id="updateBatchNextTriggerAtById" parameterType="java.util.List">
|
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UPDATE workflow AS rt
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SET next_trigger_at = tt.next_trigger_at
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FROM (
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<foreach collection="list" item="item" index="index" separator="UNION ALL">
|
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select
|
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#{item.nextTriggerAt} as next_trigger_at,
|
||||
#{item.id} as id
|
||||
</foreach>
|
||||
) AS tt
|
||||
WHERE rt.id = tt.id
|
||||
UPDATE sj_workflow AS rt
|
||||
SET next_trigger_at = tt.next_trigger_at
|
||||
FROM (
|
||||
<foreach collection="list" item="item" index="index" separator="UNION ALL">
|
||||
SELECT
|
||||
#{item.nextTriggerAt} AS next_trigger_at,
|
||||
#{item.id} AS id
|
||||
</foreach>
|
||||
) AS tt
|
||||
WHERE rt.id = tt.id
|
||||
</update>
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user