Examples of queries query-examples
This section lists several commonly used examples to query Journey Step Events in Data Lake.
Make sure that the fields used in your queries have associated values in the corresponding schema.
What’s the difference between id, instanceid and profileid
- id: unique for all the step event entries. Two different step events cannot have the same id.
- instanceId: instanceID is the same for all the step events associated to a profile within a journey execution. If a profile reenters the journey, a different instanceId will be used. This new instanceId will be same for all the step events of the reentered instance (from start to end).
- profileID: the profile’s identity corosponding to the journey namespace.
Basic use cases/common queries common-queries
How many profiles entered a journey in a certain time frame
This query gives the number of distinct profiles that entered the given journey in the given time frame.
Data Lake query
SELECT count(distinct _experience.journeyOrchestration.stepEvents.profileID)
FROM journey_step_events WHERE _experience.journeyOrchestration.stepEvents.journeyVersionID = '<journeyVersionID>'
AND _experience.journeyOrchestration.stepEvents.nodeType='start'
AND _experience.journeyOrchestration.stepEvents.instanceType = 'unitary'
AND DATE(timestamp) > (now() - interval '<last x hours>' hour);
How many errors occurred on each node of a specific journey fo a certain amount of time
Data Lake query
SELECT
_experience.journeyOrchestration.stepEvents.nodeName,
count(distinct _experience.journeyOrchestration.stepEvents.profileID)
FROM journey_step_events
WHERE _experience.journeyOrchestration.stepEvents.journeyVersionID='<journeyVersiionID>'
AND DATE(timestamp) > (now() - interval '<last x hours>' hour)
AND
(_experience.journeyOrchestration.stepEvents.actionExecutionError not NULL
OR _experience.journeyOrchestration.stepEvents.actionExecutionErrorCode not NULL
OR _experience.journeyOrchestration.stepEvents.actionExecutionOriginCode not NULL
OR _experience.journeyOrchestration.stepEvents.actionExecutionOriginError not NULL
OR _experience.journeyOrchestration.stepEvents.fetchError not NULL
OR _experience.journeyOrchestration.stepEvents.fetchErrorCode not NULL
)
GROUP BY _experience.journeyOrchestration.stepEvents.nodeName;
How many events were discarded from a specific journey in a certain time frame
Data Lake query
SELECT
count(_id) AS NUMBER_OF_EVENTS_DISCARDED
FROM journey_step_events
WHERE _experience.journeyOrchestration.stepEvents.journeyVersionID='<journeyVersiionID>'
AND DATE(timestamp) > (now() - interval '<last x hours>' hour);
What happens to a specific profile in a specific journey in a specific time frame
Data Lake query
This query returns all the step events and service events for the given profile and journey for the specified time in chronological order.
SELECT
timestamp,
_experience.journeyOrchestration.stepEvents.journeyVersionID,
_experience.journeyOrchestration.stepEvents.profileID,
_experience.journeyOrchestration.stepEvents.nodeName,
_experience.journeyOrchestration.stepEvents.journeyNodeProcessed,
_experience.journeyOrchestration.serviceType,
to_json(_experience.journeyOrchestration.profile),
to_json(_experience.journeyOrchestration.serviceEvents)
FROM journey_step_events
WHERE _experience.journeyOrchestration.stepEvents.journeyVersionID='<journeyVersionID>'
AND DATE(timestamp) > (now() - interval '<last x hours>' hour)
AND
(
_experience.journeyOrchestration.stepEvents.profileID='<profileID>'
OR _experience.journeyOrchestration.profile.ID='<profileID>'
);
ORDER BY timestamp;
How much time elapsed between two nodes
These queries can be used, for example, to estimate the time spent in a wait activity. This allows you to make sure that the wait activity is correctly configured.
Data Lake query
WITH
START_NODE_INFO AS (
SELECT
timestamp AS TS_START,
_experience.journeyOrchestration.stepEvents.nodeName AS NODE_NAME,
_experience.journeyOrchestration.stepEvents.instanceID AS INSTANCE_ID
FROM
journey_step_events
WHERE
_experience.journeyOrchestration.stepEvents.journeyVersionID = '<journey version id>' AND
_experience.journeyOrchestration.stepEvents.nodeName = '<name of node before wait activity>' AND
_experience.journeyOrchestration.stepEvents.journeyNodeProcessed = true
),
END_NODE_INFO AS (
SELECT
timestamp AS TS_END,
_experience.journeyOrchestration.stepEvents.nodeName AS NODE_NAME,
_experience.journeyOrchestration.stepEvents.instanceID AS INSTANCE_ID
FROM
journey_step_events
WHERE
_experience.journeyOrchestration.stepEvents.journeyVersionID = '<journey version id>' AND
_experience.journeyOrchestration.stepEvents.nodeName = '<name of wait activity node>' AND
_experience.journeyOrchestration.stepEvents.journeyNodeProcessed = true
)
SELECT
T1.INSTANCE_ID AS INSTANCE_ID,
T1.NODE_NAME AS START_NODE_NAME,
T2.NODE_NAME AS END_NODE_NAME,
DATEDIFF(millisecond,T1.TS_START,T2.TS_END) AS ELAPSED_TIME_MS
FROM
START_NODE_INFO AS T1,
END_NODE_INFO AS T2
WHERE
T1.INSTANCE_ID = T2.INSTANCE_ID
Data Lake query
WITH
START_NODE_INFO AS (
SELECT
timestamp AS TS_START,
_experience.journeyOrchestration.stepEvents.nodeName AS NODE_NAME,
_experience.journeyOrchestration.stepEvents.instanceID AS INSTANCE_ID
FROM
journey_step_events
WHERE
_experience.journeyOrchestration.stepEvents.journeyVersionID = '<journey version id>' AND
_experience.journeyOrchestration.stepEvents.nodeName = '<name of node before wait activity>' AND
_experience.journeyOrchestration.stepEvents.journeyNodeProcessed = true
),
END_NODE_INFO AS (
SELECT
timestamp AS TS_END,
_experience.journeyOrchestration.stepEvents.nodeName AS NODE_NAME,
_experience.journeyOrchestration.stepEvents.instanceID AS INSTANCE_ID
FROM
journey_step_events
WHERE
_experience.journeyOrchestration.stepEvents.journeyVersionID = '<journey version id>' AND
_experience.journeyOrchestration.stepEvents.nodeName = '<name of wait activity node>' AND
_experience.journeyOrchestration.stepEvents.journeyNodeProcessed = true
)
SELECT
AVG(DATEDIFF(millisecond,T1.TS_START,T2.TS_END)) AS AVERAGE_ELAPSED_TIME,
MIN(DATEDIFF(millisecond,T1.TS_START,T2.TS_END)) AS MIN_ELAPSED_TIME,
MAX(DATEDIFF(millisecond,T1.TS_START,T2.TS_END)) AS MAX_ELAPSED_TIME
FROM
START_NODE_INFO AS T1,
END_NODE_INFO AS T2
WHERE
T1.INSTANCE_ID = T2.INSTANCE_ID
How to check the details of a serviceEvent
The Journey Step Events dataset contains all the stepEvents and serviceEvents. stepEvents are used in reporting, as they relate to activities (event, actions, etc.) of profiles in a journey. serviceEvents are stored in the same dataset, and they indicate additional information for debugging purposes, for example the reason for an experiance event discard.
Here is an example of query to check the detail of a serviceEvent:
Data Lake query
SELECT
_experience.journeyOrchestration.profile.ID,
_experience.journeyOrchestration.journey.versionID,
to_json(_experience.journeyOrchestration.serviceEvents)
FROM journey_step_event
WHERE _experience.journeyOrchestration.serviceType is not null;
Message/Action Errors message-action-errors
List of each error encountered in journeys
This query allows you to list each error encountered in journeys while executing a message/action.
Data Lake query
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
Example
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
This query returns all the different errors that occurred while executing an action in a journey along with the count of how many times it occurred.
Profile-based queries profile-based-queries
Find if a profile entered a specific Journey
Data Lake query
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>'
Example
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'
The result should be greater than 0. This query returns the exact number of times a profile has entered a journey.
Find if a profile was sent a specific message
Method 1: if the name of your message is not unique in the journey (it is used at multiple places).
Data Lake query
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>'
Example
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'
The result should be greater than 0. This query only tells us whether the message action was successfully executed on the journey side.
Method 2: if the name of your message is unique in the journey.
Data Lake query
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>'
Example
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'
The query returns the list of all messages along with their count invoked for the selected profile.
Find all the messages a profile has received in the last 30 days
Data Lake query
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
Example
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
The query returns the list of all messages along with their count invoked for the selected profile.
Find all the journeys a profile has entered in the last 30 days
Data Lake query
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
Example
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
The query returns the list of all journey names along with the number of times the queried profile entered the journey.
Number of profiles that qualified for a journey daily
Data Lake query
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
Example
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
The query returns, for the defined period, the number of profiles that entered the journey each day. If a profile entered via multiple identities, it will be counted twice. If re-entrance is enabled, profile count might be duplicated accross different days if it re-entered the journey on different day.
Queries related to the Read Audience read-segment-queries
Time taken to finish an audience export job
Data Lake query
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;
Example
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;
The query returns the time difference, in minutes, between when time the audience export job was queued and when it finally ended.
Number of profiles that got discarded by the journey because they were duplicates
Data Lake query
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'
Example
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'
The query returns all the profile Ids that were discarded by the journey because they were duplicates.
Number of profiles that got discarded by the journey because of invalid namespace
Data Lake query
SELECT count(*) FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '<journey-version-id>' AND
_experience.journeyOrchestration.serviceEvents.segmentExportJob.eventCode = 'ERROR_INSTANCE_BAD_NAMESPACE'
Example
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'
The query returns all the profile Ids that were discarded by the journey because they had an invalid namespace or no identity for that namespace.
Number of profiles that got discarded by the journey because of no identity map
Data Lake query
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'
Example
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'
The query returns all the profile Ids that were discarded by the journey because the identity map was missing.
Number of profiles that got discarded by the journey because the journey was in test node and the profile was not a test profile
Data Lake query
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'
Example
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'
The query returns all the profile Ids that were discarded by the journey beacause the export job was run in test mode but the profile did not have the testProfile attribute set to true.
Number of profiles that got discarded by the journey because of an internal error
Data Lake query
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'
Example
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'
The query returns all the profile Ids that were discarded by the journey due to some internal error.
Overview of the Read Audience for a given journey version
Data Lake query
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'
It will return all service events related to the given journey version. We can follow the chain of operations:
- topic creation
- export job creation
- export job termination (with metrics on exported profiles)
- worker processing termination
We can also detect issues such as:
- errors in topic or export job creation (including timeouts on audience export API calls)
- export jobs which can be stuck (case when for a given journey version, we don’t have any event regarding the export job termination)
- worker issues, if we have received export job termination event but no worker processing termination one
IMPORTANT: if there is no event returned by this query, it may be due to one of the following reasons:
- the journey version has not reached the schedule
- if the journey version is supposed to have trigger the export job by calling the orchestrator, something went wrong on the upstram flow: issue on journey deployment, business event or issue with scheduler.
Get Read Audience errors for a given journey version
Data Lake query
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'
)
Get export job processing status
Data Lake query
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'
)
If no record is returned, that means that either:
- an error has occured during topic or export job creation
- the export job is still running
Get metrics on exported profiles, including discards and export job metrics for each export jobs
Data Lake query
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
Get aggregated metrics (audience export jobs and discards) on all export jobs
Data Lake query
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
This query is different than the previous one.
It returns the overall metrics for a given journey version, regardless the jobs which can have run for it (in case of recurring journeys, business events triggered ones leveraging topic reuse).
Queries related to Audience Qualification segment-qualification-queries
Profile discarded because of a different audience realization than the one configured
Data Lake query
SELECT DATE(timestamp), _experience.journeyOrchestration.profile.ID
FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = '<journey-version id>' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventType = 'ERROR_SEGMENT_REALISATION_CONDITION_MISMATCH'
Example
SELECT DATE(timestamp), _experience.journeyOrchestration.profile.ID
FROM journey_step_events
where
_experience.journeyOrchestration.journey.versionID = 'a868f3c9-4888-46ac-a274-94cdf1c4159d' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventType = 'ERROR_SEGMENT_REALISATION_CONDITION_MISMATCH'
This query returns all the profile Ids that were discarded by the journey version due to wrong audience realization.
Audience Qualification events discarded by any other reason for a specific profile
Data Lake query
SELECT DATE(timestamp), _experience.journeyOrchestration.profile.ID, _experience.journeyOrchestration.serviceEvents.dispatcher.projectionID
FROM journey_step_events
where
_experience.journeyOrchestration.profile.ID = '<profile-id>' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventCode = 'discard' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventType = 'ERROR_SERVICE_INTERNAL';
Example
SELECT DATE(timestamp), _experience.journeyOrchestration.profile.ID, _experience.journeyOrchestration.serviceEvents.dispatcher.projectionID
FROM journey_step_events
where
_experience.journeyOrchestration.profile.ID = 'mandee@adobe.com' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventCode = 'discard' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventType = 'ERROR_SERVICE_INTERNAL';
This query returns all events (external events / audience qualification events) that were discarded because of any other reason for a profile.
Event-based queries event-based-queries
Check if a business event was received for a journey
Data Lake query
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)
Example
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)
Check if an external event of a profile got discarded because no related journey was found
Data Lake query
SELECT _experience.journeyOrchestration.profile.ID, DATE(timestamp) FROM journey_step_events
where
_experience.journeyOrchestration.serviceEvents.dispatcher.eventID = '<eventId>' AND
_experience.journeyOrchestration.profile.ID = '<profileId>' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventCode = 'discard' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventType = 'EVENT_WITH_NO_JOURNEY'
Example
SELECT _experience.journeyOrchestration.profile.ID, DATE(timestamp) FROM journey_step_events
where
_experience.journeyOrchestration.serviceEvents.dispatcher.eventID = '515bff852185e434ca5c83bcfc4f24626b1545ca615659fc4cfff91626ce61a6' AND
_experience.journeyOrchestration.profile.ID = 'mandee@adobe.com' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventCode = 'discard' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventType = 'EVENT_WITH_NO_JOURNEY'
Check if an external event of a profile got discarded because of any other reason
Data Lake query
SELECT _experience.journeyOrchestration.profile.ID, DATE(timestamp), _experience.journeyOrchestration.serviceEvents.dispatcher.eventID, _experience.journeyOrchestration.serviceEvents.dispatcher.eventCode
FROM journey_step_events
where
_experience.journeyOrchestration.profile.ID='<profileID>' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventID='<eventID>' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventCode = 'discard' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventType = 'ERROR_SERVICE_INTERNAL';
Example
SELECT _experience.journeyOrchestration.profile.ID, DATE(timestamp), _experience.journeyOrchestration.serviceEvents.dispatcher.eventID, _experience.journeyOrchestration.serviceEvents.dispatcher.eventCode
FROM journey_step_events
where
_experience.journeyOrchestration.profile.ID='mandee@adobe.com' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventID='81c51be978d8bdf9ef497076b3e12b14533615522ecea9f5080a81c736491656' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventCode = 'discard' AND
_experience.journeyOrchestration.serviceEvents.dispatcher.eventType = 'ERROR_SERVICE_INTERNAL';
Check the count of all the events discarded by stateMachine by errorCode
Data Lake query
SELECT _experience.journeyOrchestration.serviceEvents.stateMachine.eventCode, COUNT() FROM journey_step_events
where
_experience.journeyOrchestration.serviceEvents.stateMachine.eventType = 'discard' GROUP BY _experience.journeyOrchestration.serviceEvents.stateMachine.eventCode
Example
SELECT _experience.journeyOrchestration.serviceEvents.stateMachine.eventCode, COUNT() FROM journey_step_events
where
_experience.journeyOrchestration.serviceEvents.stateMachine.eventType = 'discard' GROUP BY _experience.journeyOrchestration.serviceEvents.stateMachine.eventCode
Check all discarded events because reentrance was not allowed
Data Lake query
SELECT DATE(timestamp), _experience.journeyOrchestration.profile.ID,
_experience.journeyOrchestration.journey.versionID,
_experience.journeyOrchestration.serviceEvents.stateMachine.eventCode
FROM journey_step_events
where
_experience.journeyOrchestration.serviceEvents.stateMachine.eventType = 'discard' AND _experience.journeyOrchestration.serviceEvents.stateMachine.eventCode='reentranceNotAllowed'
Example
SELECT DATE(timestamp), _experience.journeyOrchestration.profile.ID,
_experience.journeyOrchestration.journey.versionID,
_experience.journeyOrchestration.serviceEvents.stateMachine.eventCode
FROM journey_step_events
where
_experience.journeyOrchestration.serviceEvents.stateMachine.eventType = 'discard' AND _experience.journeyOrchestration.serviceEvents.stateMachine.eventCode='reentranceNotAllowed'
Common journey-based queries journey-based-queries
Number of daily active journeys
Data Lake query
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
Example
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
The query returns, for the defined period, the count of unique journeys that triggered each day. A single journey triggering on multiple days will be counted once per day.
Queries on journey instances journey-instances-queries
Number of profiles in a specific state a specific time
Data Lake query
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
Example
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
How many profiles exited the journey in the specific period of time
Data Lake query
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
Example
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
How many profiles exited the journey in the specific period of time with node/status
Data Lake query
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
Example
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