이 섹션에는 데이터 레이크에서 여정 단계 이벤트를 쿼리하는 데 일반적으로 사용되는 몇 가지 예제가 나와 있습니다.
이 쿼리를 사용하면 메시지/작업을 실행하는 동안 여정에서 발생한 각 오류를 나열할 수 있습니다.
Data Lake 쿼리
SELECT _experience.journeyOrchestration.stepEvents.actionExecutionError, count(distinct _id) FROM journey_step_events
WHERE _experience.journeyOrchestration.stepEvents.nodeName=<'message-name'>
AND _experience.journeyOrchestration.stepEvents.actionExecutionError IS NOT NULL
AND _experience.journeyOrchestration.stepEvents.journeyVersionID = '<journey-version-id>'
GROUP BY _experience.journeyOrchestration.stepEvents.actionExecutionError
예
SELECT _experience.journeyOrchestration.stepEvents.actionExecutionError, count(distinct _id) FROM journey_step_events
WHERE _experience.journeyOrchestration.stepEvents.nodeName='Message - 100KB Email with Gateway and Kafkav2'
AND _experience.journeyOrchestration.stepEvents.actionExecutionError IS NOT NULL
AND _experience.journeyOrchestration.stepEvents.journeyVersionID = '67b14482-143e-4f83-9cf5-cfec0fca3d26'
GROUP BY _experience.journeyOrchestration.stepEvents.actionExecutionError
이 쿼리는 여정에서 작업을 실행하는 동안 발생한 모든 다른 오류를 발생한 횟수와 함께 반환합니다.
Data Lake 쿼리
SELECT count(distinct _id) FROM journey_step_events
where
_experience.journeyOrchestration.stepEvents.journeyVersionID = '<journey-version-id>' AND
_experience.journeyOrchestration.stepEvents.profileID = '<profileID corresponding to the namespace used>'
예
SELECT count(distinct _id) FROM journey_step_events
where
_experience.journeyOrchestration.stepEvents.journeyVersionID = 'ec9efdd0-8a7c-4d7a-a765-b2cad659fa4e' AND
_experience.journeyOrchestration.stepEvents.profileID = 'saurgarg@adobe.com'
결과는 0보다 커야 합니다. 이 쿼리는 프로필이 여정을 입력한 정확한 횟수를 반환합니다.
방법 1: 메시지 이름이 여정에서 고유하지 않은 경우(여러 위치에서 사용됨).
Data Lake 쿼리
SELECT count(distinct _id) FROM journey_step_events WHERE
_experience.journeyOrchestration.stepEvents.nodeID='<NodeId in the UI corresponding to the message>' AND
_experience.journeyOrchestration.stepEvents.actionExecutionError IS NULL AND
_experience.journeyOrchestration.stepEvents.journeyVersionID = '<journey-version-id>' AND
_experience.journeyOrchestration.stepEvents.profileID = '<profileID corresponding to the namespace used>'
예
SELECT count(distinct _id) FROM journey_step_events WHERE
_experience.journeyOrchestration.stepEvents.nodeID='17ae65a1-02dd-439d-b54e-b56a78520eba' AND
_experience.journeyOrchestration.stepEvents.actionExecutionError IS NULL AND
_experience.journeyOrchestration.stepEvents.journeyVersionID = '67b14482-143e-4f83-9cf5-cfec0fca3d26' AND
_experience.journeyOrchestration.stepEvents.profileID = 'saurgarg@adobe.com'
결과는 0보다 커야 합니다. 이 쿼리는 메시지 작업이 여정 측에서 성공적으로 실행되었는지 여부만 알려줍니다.
방법 2: 메시지 이름이 여정에서 고유한 경우.
Data Lake 쿼리
SELECT count(distinct _id) FROM journey_step_events WHERE
_experience.journeyOrchestration.stepEvents.nodeName='<NodeName in the UI corresponding to the message>' AND
_experience.journeyOrchestration.stepEvents.actionExecutionError IS NULL AND
_experience.journeyOrchestration.stepEvents.journeyVersionID = '<journey-version-id>' AND
_experience.journeyOrchestration.stepEvents.profileID = '<profileID corresponding to the namespace used>'
예
SELECT count(distinct _id) FROM journey_step_events WHERE
_experience.journeyOrchestration.stepEvents.nodeID='Message- 100KB Email' AND
_experience.journeyOrchestration.stepEvents.actionExecutionError IS NULL AND
_experience.journeyOrchestration.stepEvents.journeyVersionID = '67b14482-143e-4f83-9cf5-cfec0fca3d26' AND
_experience.journeyOrchestration.stepEvents.profileID = 'saurgarg@adobe.com'
쿼리는 선택한 프로필에 대해 호출된 수와 함께 모든 메시지 목록을 반환합니다.
Data Lake 쿼리
SELECT _experience.journeyOrchestration.stepEvents.nodeName, count(distinct _id) FROM journey_step_events
WHERE _experience.journeyOrchestration.stepEvents.actionExecutionError IS NULL AND
_experience.journeyOrchestration.stepEvents.nodeType = 'action' AND
_experience.journeyOrchestration.stepEvents.profileID = '<profileID corresponding to the namespace used>' AND
timestamp > (now() - interval '30' day)
GROUP BY _experience.journeyOrchestration.stepEvents.nodeName
예
SELECT _experience.journeyOrchestration.stepEvents.nodeName, count(distinct _id) FROM journey_step_events
WHERE _experience.journeyOrchestration.stepEvents.actionExecutionError IS NULL AND
_experience.journeyOrchestration.stepEvents.nodeType = 'action' AND
_experience.journeyOrchestration.stepEvents.profileID = 'saurgarg@adobe.com' AND
timestamp > (now() - interval '30' day)
GROUP BY _experience.journeyOrchestration.stepEvents.nodeName
쿼리는 선택한 프로필에 대해 호출된 수와 함께 모든 메시지 목록을 반환합니다.
Data Lake 쿼리
SELECT _experience.journeyOrchestration.stepEvents.journeyVersionName, count(distinct _id) FROM journey_step_events
WHERE _experience.journeyOrchestration.stepEvents.nodeType = 'start' AND
_experience.journeyOrchestration.stepEvents.profileID = '<profileID corresponding to the namespace used>' AND
timestamp > (now() - interval '30' day)
GROUP BY _experience.journeyOrchestration.stepEvents.journeyVersionName
예
SELECT _experience.journeyOrchestration.stepEvents.journeyVersionName, count(distinct _id) FROM journey_step_events
WHERE _experience.journeyOrchestration.stepEvents.nodeType = 'start' AND
_experience.journeyOrchestration.stepEvents.profileID = 'saurgarg@adobe.com' AND
timestamp > (now() - interval '30' day)
GROUP BY _experience.journeyOrchestration.stepEvents.journeyVersionName
쿼리는 쿼리된 여정이 입력한 횟수와 함께 모든 여정 이름 목록을 반환합니다.
Data Lake 쿼리
SELECT DATE(timestamp), count(distinct _experience.journeyOrchestration.stepEvents.profileID) FROM journey_step_events
WHERE DATE(timestamp) > (now() - interval '<last x days>' day)
AND _experience.journeyOrchestration.stepEvents.journeyVersionID = '<journey-version-id>'
GROUP BY DATE(timestamp)
ORDER BY DATE(timestamp) desc
예
SELECT DATE(timestamp), count(distinct _experience.journeyOrchestration.stepEvents.profileID) FROM journey_step_events
WHERE DATE(timestamp) > (now() - interval '100' day)
AND _experience.journeyOrchestration.stepEvents.journeyVersionID = '180ad071-d42d-42bb-8724-2a6ff0a109f1'
GROUP BY DATE(timestamp)
ORDER BY DATE(timestamp) desc
쿼리는 정의된 기간 동안 매일 여정에 입력한 프로필 수를 다시 반환합니다. 여러 ID를 통해 입력한 프로필은 두 번 카운트됩니다. 다시 여정을 사용하도록 설정하면 다른 날에 다시 입력한 경우 프로필 수가 다른 날에 복제될 수 있습니다.
Data Lake 쿼리
select DATEDIFF (minute,
(select timestamp
where
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.status = 'queued') ,
(select timestamp
where
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.status = 'finished')) AS export_job_runtime;
예
select DATEDIFF (minute,
(select timestamp
where
_experience.journeyOrchestration.journey.versionID = '180ad071-d42d-42bb-8724-2a6ff0a109f1' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.status = 'queued') ,
(select timestamp
where
_experience.journeyOrchestration.journey.versionID = '180ad071-d42d-42bb-8724-2a6ff0a109f1' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.status = 'finished')) AS export_job_runtime;
쿼리는 세그먼트 내보내기 작업이 큐에 있는 시간과 마지막으로 종료한 시간 사이의 시간 차이(분)를 반환합니다.
Data Lake 쿼리
SELECT count(distinct _experience.journeyOrchestration.profile.ID) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode = 'ERROR_INSTANCE_DUPLICATION'
예
SELECT count(distinct _experience.journeyOrchestration.profile.ID) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '180ad071-d42d-42bb-8724-2a6ff0a109f1' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode = 'ERROR_INSTANCE_DUPLICATION'
쿼리는 중복되었기 때문에 여정이 삭제한 모든 프로필 Id를 반환합니다.
Data Lake 쿼리
SELECT count(*) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode = 'ERROR_INSTANCE_BAD_NAMESPACE'
예
SELECT count(*) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '180ad071-d42d-42bb-8724-2a6ff0a109f1' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode = 'ERROR_INSTANCE_BAD_NAMESPACE'
쿼리에 잘못된 네임스페이스가 있거나 해당 네임스페이스에 대한 ID가 없으므로 여정이 삭제한 모든 프로필 ID가 반환됩니다.
Data Lake 쿼리
SELECT count(*) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode = 'ERROR_INSTANCE_NO_IDENTITY_MAP'
예
SELECT count(*) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '180ad071-d42d-42bb-8724-2a6ff0a109f1' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode = 'ERROR_INSTANCE_NO_IDENTITY_MAP'
ID 맵이 누락되어 여정에서 삭제한 모든 프로필 ID를 쿼리로 반환합니다.
Data Lake 쿼리
SELECT count(distinct _experience.journeyOrchestration.profile.ID) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode = 'ERROR_INSTANCE_NOT_A_TEST_PROFILE'
예
SELECT count(distinct _experience.journeyOrchestration.profile.ID) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '180ad071-d42d-42bb-8724-2a6ff0a109f1' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode = 'ERROR_INSTANCE_NOT_A_TEST_PROFILE'
내보내기 작업이 테스트 모드에서 실행되었지만 프로필에 testProfile 속성이 true로 설정되지 않았기 때문에 쿼리는 여정에서 삭제한 모든 프로필 Id를 반환합니다.
Data Lake 쿼리
SELECT count(distinct _experience.journeyOrchestration.profile.ID) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode = 'ERROR_INSTANCE_INTERNAL'
예
SELECT count(distinct _experience.journeyOrchestration.profile.ID) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '180ad071-d42d-42bb-8724-2a6ff0a109f1' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode = 'ERROR_INSTANCE_INTERNAL'
쿼리는 일부 내부 오류로 인해 여정이 삭제한 모든 프로필 ID를 반환합니다.
Data Lake 쿼리
SELECT
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode AS EVENT_CODE,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportSegmentID AS SEGMENT_ID,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.ID AS EXPORTJOB_ID,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.status AS EXPORTJOB_STATUS,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountTotal AS TOTAL_EXPORTED_PROFILES_COUNT,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountRealized AS SUCCESS_EXPORTED_PROFILES_COUNT,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountFailed AS FAILED_EXPORTED_PROFILES_COUNT
FROM
journey_step_events
WHERE
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventType = 'segmenttrigger-orchestrator'
지정된 여정 버전과 관련된 모든 서비스 이벤트를 반환합니다. 작업 체인을 따를 수 있습니다.
다음과 같은 문제를 감지할 수도 있습니다.
중요 사항: 이 쿼리에서 반환된 이벤트가 없는 경우 다음 이유 중 하나로 인해 발생할 수 있습니다.
Data Lake 쿼리
SELECT
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode AS EVENT_CODE,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportSegmentID AS SEGMENT_ID,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.ID AS EXPORTJOB_ID,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.status AS EXPORTJOB_STATUS,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountTotal AS TOTAL_EXPORTED_PROFILES_COUNT,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountRealized AS SUCCESS_EXPORTED_PROFILES_COUNT,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountFailed AS FAILED_EXPORTED_PROFILES_COUNT
FROM
journey_step_events
WHERE
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventType = 'segmenttrigger-orchestrator' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode IN (
'ERROR_TOPIC_CREATION',
'ERROR_EXPORTJOB_APICALL',
'ERROR_EXPORTJOB_APICALL_TIMEOUT',
'ERROR_EXPORTJOB_FAILED'
)
Data Lake 쿼리
SELECT
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode AS EVENT_CODE,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportSegmentID AS SEGMENT_ID,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.ID AS EXPORTJOB_ID,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.status AS EXPORTJOB_STATUS,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountTotal AS TOTAL_EXPORTED_PROFILES_COUNT,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountRealized AS SUCCESS_EXPORTED_PROFILES_COUNT,
_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountFailed AS FAILED_EXPORTED_PROFILES_COUNT
FROM
journey_step_events
WHERE
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventType = 'segmenttrigger-orchestrator' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode IN (
'INFO_EXPORTJOB_SUCCEEDED',
'ERROR_EXPORTJOB_FAILED'
)
레코드가 반환되지 않으면 다음 중 하나가 됩니다.
Data Lake 쿼리
WITH
DISCARDED_EXPORTED_PROFILES AS (
SELECT
_experience.journeyOrchestration.serviceEvents.segmentExportJob.ID AS EXPORTJOB_ID,
count(distinct _experience.journeyOrchestration.profile.ID) AS DISCARDED_PROFILES_COUNT
FROM
journey_step_events
WHERE
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode IN (
'ERROR_INSTANCE_DUPLICATION',
'ERROR_INSTANCE_BAD_NAMESPACE',
'ERROR_INSTANCE_NO_IDENTITY_MAP',
'ERROR_INSTANCE_NOT_A_TEST_PROFILE',
'ERROR_INSTANCE_INTERNAL'
)
GROUP BY
_experience.journeyOrchestration.serviceEvents.segmentExportJob.ID
),
SEGMENT_EXPORT_METRICS AS (
SELECT
_experience.journeyOrchestration.serviceEvents.segmentExportJob.ID AS EXPORTJOB_ID,
sum(_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountTotal) AS TOTAL_EXPORTED_PROFILES_COUNT,
sum(_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountRealized) AS SUCCESS_EXPORTED_PROFILES_COUNT,
sum(_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountFailed) AS FAILED_EXPORTED_PROFILES_COUNT
FROM
journey_step_events
WHERE
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventType = 'segmenttrigger-orchestrator' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode IN (
'INFO_EXPORTJOB_SUCCEEDED',
'ERROR_EXPORTJOB_FAILED'
)
GROUP BY
_experience.journeyOrchestration.serviceEvents.segmentExportJob.ID
)
SELECT
sum(T2.TOTAL_EXPORTED_PROFILES_COUNT),
sum(T2.SUCCESS_EXPORTED_PROFILES_COUNT),
sum(T2.FAILED_EXPORTED_PROFILES_COUNT),
sum(T1.DISCARDED_PROFILES_COUNT)
FROM
DISCARDED_EXPORTED_PROFILES AS T1,
SEGMENT_EXPORT_METRICS AS T2
WHERE T1.EXPORTJOB_ID = T2.EXPORTJOB_ID
Data Lake 쿼리
WITH
DISCARDED_EXPORTED_PROFILES AS (
SELECT
_experience.journeyOrchestration.journey.versionID AS JOURNEYVERSION_ID,
count(distinct _experience.journeyOrchestration.profile.ID) AS DISCARDED_PROFILES_COUNT
FROM
journey_step_events
WHERE
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode IN (
'ERROR_INSTANCE_DUPLICATION',
'ERROR_INSTANCE_BAD_NAMESPACE',
'ERROR_INSTANCE_NO_IDENTITY_MAP',
'ERROR_INSTANCE_NOT_A_TEST_PROFILE',
'ERROR_INSTANCE_INTERNAL'
)
GROUP BY
_experience.journeyOrchestration.journey.versionID
),
SEGMENT_EXPORT_METRICS AS (
SELECT
_experience.journeyOrchestration.journey.versionID AS JOURNEYVERSION_ID,
sum(_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountTotal) AS TOTAL_EXPORTED_PROFILES_COUNT,
sum(_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountRealized) AS SUCCESS_EXPORTED_PROFILES_COUNT,
sum(_experience.journeyOrchestration.serviceEvents.segmentExportJob.exportCountFailed) AS FAILED_EXPORTED_PROFILES_COUNT
FROM
journey_step_events
WHERE
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventType = 'segmenttrigger-orchestrator' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode IN (
'INFO_EXPORTJOB_SUCCEEDED',
'ERROR_EXPORTJOB_FAILED'
)
GROUP BY
_experience.journeyOrchestration.journey.versionID
)
SELECT
sum(T2.TOTAL_EXPORTED_PROFILES_COUNT),
sum(T2.SUCCESS_EXPORTED_PROFILES_COUNT),
sum(T2.FAILED_EXPORTED_PROFILES_COUNT),
sum(T1.DISCARDED_PROFILES_COUNT)
FROM
DISCARDED_EXPORTED_PROFILES AS T1,
SEGMENT_EXPORT_METRICS AS T2
WHERE T1.JOURNEYVERSION_ID = T2.JOURNEYVERSION_ID
이 쿼리는 이전 쿼리와 다릅니다.
이 보고서는 실행할 수 있는 작업(반복 여정의 경우 주제 재사용을 활용하는 비즈니스 이벤트가 트리거됨)에 상관없이 주어진 여정 버전에 대한 전체 지표를 반환합니다.
Data Lake 쿼리
SELECT count(distinct _experience.journeyOrchestration.profile.ID) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventCode = 'ERROR_INSTANCE_WRONG_SEGMENT_REALIZATION'
예
SELECT count(distinct _experience.journeyOrchestration.profile.ID) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '180ad071-d42d-42bb-8724-2a6ff0a109f1' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventCode = 'ERROR_INSTANCE_WRONG_SEGMENT_REALIZATION'
이 쿼리는 잘못된 세그먼트 구현으로 인해 여정 버전에서 삭제된 모든 프로필 Id를 반환합니다.
Data Lake 쿼리
SELECT DATE(timestamp), count(distinct _id)
FROM journey_step_events
where
_experience.journeyOrchestration.stepEvents.journeyVersionID = '<journey-version-id>' AND
_experience.journeyOrchestration.stepEvents.nodeName = '<node-name-corresponding-to-business-event>' AND
_experience.journeyOrchestration.stepEvents.nodeType = 'start' AND
WHERE DATE(timestamp) > (now() - interval '<last x hours>' hour)
예
SELECT DATE(timestamp), count(distinct _id)
FROM journey_step_events
where
_experience.journeyOrchestration.stepEvents.journeyVersionID = 'b1093bd4-11f3-44cc-961e-33925cc58e18' AND
_experience.journeyOrchestration.stepEvents.nodeName = 'TEST_MLTrainingSession' AND
_experience.journeyOrchestration.stepEvents.nodeType = 'start' AND
WHERE DATE(timestamp) > (now() - interval '6' hour)
Data Lake 쿼리
SELECT DATE(timestamp), count(distinct _experience.journeyOrchestration.stepEvents.journeyVersionID) FROM journey_step_events
WHERE DATE(timestamp) > (now() - interval '<last x days>' day)
GROUP BY DATE(timestamp)
ORDER BY DATE(timestamp) desc
예
SELECT DATE(timestamp), count(distinct _experience.journeyOrchestration.stepEvents.journeyVersionID) FROM journey_step_events
WHERE DATE(timestamp) > (now() - interval '100' day)
GROUP BY DATE(timestamp)
ORDER BY DATE(timestamp) desc
정의된 기간 동안 매일 트리거된 고유한 여정 수를 반환합니다. 여러 일에 트리거되는 단일 여정은 하루에 한 번 계산됩니다.
Data Lake 쿼리
WITH
INSTANCES_PASSED_IN_ALL_NODES_WITH_DETAILS AS (
SELECT
STEP_EVENTS.timestamp AS TS,
STEP_EVENTS._experience.journeyOrchestration.stepEvents.nodeName AS NODE_NAME,
STEP_EVENTS._experience.journeyOrchestration.stepEvents.instanceID AS ID
FROM
journey_step_events AS STEP_EVENTS
WHERE
STEP_EVENTS._experience.journeyOrchestration.stepEvents.journeyVersionName = '<journey version name>'
),
INSTANCES_PASSED_IN_NODE_WITH_DETAILS AS (
SELECT
T1.TS AS TS,
T1.ID AS ID
FROM
INSTANCES_PASSED_IN_ALL_NODES_WITH_DETAILS AS T1
WHERE
T1.NODE_NAME = '<specific node name>' AND
<filter on time for profile in specific node>
),
INSTANCES_PASSED_IN_NEXT_NODES AS (
SELECT
T1.TS AS TS,
T1.ID AS ID
FROM
INSTANCES_PASSED_IN_ALL_NODES_WITH_DETAILS AS T1
WHERE
T1.NODE_NAME in (<list of next node names from the specific node>)
),
INSTANCES_PASSED_IN_NODE_NOT_PASSED_IN_NODES AS (
SELECT
distinct T1.ID AS ID
FROM
INSTANCES_PASSED_IN_NODE_WITH_DETAILS AS T1
EXCEPT
SELECT
distinct T1.ID AS ID
FROM
INSTANCES_PASSED_IN_NEXT_NODES AS T1
)
SELECT
DATE_FORMAT(T1.TS,'<date pattern>') AS DATETIME,
count(T1.ID) AS INSTANCES_COUNT
FROM
INSTANCES_PASSED_IN_NODE_WITH_DETAILS AS T1,
INSTANCES_PASSED_IN_NODE_NOT_PASSED_IN_NODES AS T2
WHERE
T1.ID = T2.ID
GROUP BY
DATETIME
ORDER BY
DATETIME DESC
예
WITH
INSTANCES_PASSED_IN_ALL_NODES_WITH_DETAILS AS (
SELECT
STEP_EVENTS.timestamp AS TS,
STEP_EVENTS._experience.journeyOrchestration.stepEvents.nodeName AS NODE_NAME,
STEP_EVENTS._experience.journeyOrchestration.stepEvents.instanceID AS ID
FROM
journey_step_events AS STEP_EVENTS
WHERE
STEP_EVENTS._experience.journeyOrchestration.stepEvents.journeyVersionName = 'Journey20009'
),
INSTANCES_PASSED_IN_NODE_WITH_DETAILS AS (
SELECT
T1.TS AS TS,
T1.ID AS ID
FROM
INSTANCES_PASSED_IN_ALL_NODES_WITH_DETAILS AS T1
WHERE
T1.NODE_NAME = 'slack_bso_tests - test1' AND
T1.TS > (now() - interval '18 hour')
),
INSTANCES_PASSED_IN_NEXT_NODES AS (
SELECT
T1.TS AS TS,
T1.ID AS ID
FROM
INSTANCES_PASSED_IN_ALL_NODES_WITH_DETAILS AS T1
WHERE
T1.NODE_NAME in ('slack_bso_tests - test2')
),
INSTANCES_PASSED_IN_NODE_NOT_PASSED_IN_NODES AS (
SELECT
distinct T1.ID AS ID
FROM
INSTANCES_PASSED_IN_NODE_WITH_DETAILS AS T1
EXCEPT
SELECT
distinct T1.ID AS ID
FROM
INSTANCES_PASSED_IN_NEXT_NODES AS T1
)
SELECT
DATE_FORMAT(T1.TS,'yyyy/MM/dd HH:mm') AS DATETIME,
count(T1.ID) AS INSTANCES_COUNT
FROM
INSTANCES_PASSED_IN_NODE_WITH_DETAILS AS T1,
INSTANCES_PASSED_IN_NODE_NOT_PASSED_IN_NODES AS T2
WHERE
T1.ID = T2.ID
GROUP BY
DATETIME
ORDER BY
DATETIME DESC
Data Lake 쿼리
SELECT
DATE_FORMAT(STEP_EVENTS.timestamp,'yyyy/MM/dd HH:mm') AS DATETIME,
count(STEP_EVENTS._experience.journeyOrchestration.stepEvents.instanceID) AS EXITED_INSTANCES_COUNT
FROM
journey_step_events AS STEP_EVENTS
WHERE
STEP_EVENTS._experience.journeyOrchestration.stepEvents.journeyVersionName = '<journey version name>' AND
STEP_EVENTS._experience.journeyOrchestration.stepEvents.stepStatus in ('endStep', 'error', 'timedOut', 'cappingError') AND
<timestamp filter>
GROUP BY
DATETIME
ORDER BY
DATETIME DESC
예
SELECT
DATE_FORMAT(STEP_EVENTS.timestamp,'yyyy/MM/dd HH:mm') AS DATETIME,
count(STEP_EVENTS._experience.journeyOrchestration.stepEvents.instanceID) AS EXITED_INSTANCES_COUNT
FROM
journey_step_events AS STEP_EVENTS
WHERE
STEP_EVENTS._experience.journeyOrchestration.stepEvents.journeyVersionName = 'Journey20009' AND
STEP_EVENTS._experience.journeyOrchestration.stepEvents.stepStatus in ('endStep', 'error', 'timedOut', 'cappingError') AND
STEP_EVENTS.timestamp > (now() - interval '22 hour')
GROUP BY
DATETIME
ORDER BY
DATETIME DESC
Data Lake 쿼리
SELECT
DATE_FORMAT(STEP_EVENTS.timestamp,'yyyy/MM/dd HH:mm') AS DATETIME,
STEP_EVENTS._experience.journeyOrchestration.stepEvents.nodeName AS NODE_NAME,
STEP_EVENTS._experience.journeyOrchestration.stepEvents.stepStatus AS EXIT_STATUS,
count(STEP_EVENTS._experience.journeyOrchestration.stepEvents.instanceID) AS EXITED_INSTANCES_COUNT
FROM
journey_step_events AS STEP_EVENTS
WHERE
STEP_EVENTS._experience.journeyOrchestration.stepEvents.journeyVersionName = '<journey version name>' AND
STEP_EVENTS._experience.journeyOrchestration.stepEvents.stepStatus in ('endStep', 'error', 'timedOut', 'cappingError') AND
<timestamp filter>
GROUP BY
DATETIME, NODE_NAME, EXIT_STATUS
ORDER BY
DATETIME DESC
예
SELECT
DATE_FORMAT(STEP_EVENTS.timestamp,'yyyy/MM/dd HH:mm') AS DATETIME,
STEP_EVENTS._experience.journeyOrchestration.stepEvents.nodeName AS NODE_NAME,
STEP_EVENTS._experience.journeyOrchestration.stepEvents.stepStatus AS EXIT_STATUS,
count(STEP_EVENTS._experience.journeyOrchestration.stepEvents.instanceID) AS EXITED_INSTANCES_COUNT
FROM
journey_step_events AS STEP_EVENTS
WHERE
STEP_EVENTS._experience.journeyOrchestration.stepEvents.journeyVersionName = 'Journey20009' AND
STEP_EVENTS._experience.journeyOrchestration.stepEvents.stepStatus in ('endStep', 'error', 'timedOut', 'cappingError') AND
STEP_EVENTS.timestamp > (now() - interval '22 hour')
GROUP BY
DATETIME, NODE_NAME, EXIT_STATUS
ORDER BY
DATETIME DESC