Abfragen für die Tabelle ACSCallDiagnostics
Informationen zur Verwendung dieser Abfragen im Azure-Portal finden Sie im Log Analytics-Lernprogramm. Informationen zur REST-API finden Sie unter "Abfrage".
Ströme pro Anruf
Berechnet die durchschnittliche Anzahl von Datenströmen pro Anruf.
ACSCallDiagnostics
// Count the streams and distinct calls
| summarize num_streams=count(), num_calls=dcount(CorrelationId)
// Calculate the average number of streams per call
| extend avg_streams = toreal(num_streams) / toreal(num_calls)
Histogramm der Datenströme pro Anruf
Erzeugt ein Histogramm der Anzahl der Datenströme pro Anruf.
ACSCallDiagnostics
// Counts the number of streams per call
| summarize streams_per_call=count() by CorrelationId
// Aggregates the numbers of streams per call (e.g. if there are 7 calls that have 6 streams,
// this will produce a row [streams_per_call=6, stream_counts=7])
| summarize stream_counts=count() by streams_per_call
| order by streams_per_call asc
| render columnchart title="Streams per call histogram"
Medientypverhältnis
Erzeugt ein Kreisdiagramm des Anteils von Datenströmen eines bestimmten Medientyps.
ACSCallDiagnostics
// Count the number of streams per media type
| summarize media_types=count() by MediaType
| render piechart title="Media Type Ratio"
Transporttypverhältnis
Erzeugt ein Kreisdiagramm des Anteils von Datenströmen mithilfe eines bestimmten Transporttyps.
ACSCallDiagnostics
// Count the number of streams per transport type
| summarize transport_types=count() by TransportType
| render piechart title="Transport Type Ratio"
Durchschnittliche Telemetriewerte
Berechnet die Durchschnittswerte für die sechs Telemetriefelder.
ACSCallDiagnostics
// Calculate the average value for each of the six telemetry fields
| summarize Avg_JitterAvg=avg(JitterAvg),
Avg_JitterMax=avg(JitterMax),
Avg_RoundTripTimeAvg=avg(RoundTripTimeAvg),
Avg_RoundTripTimeMax=avg(RoundTripTimeMax),
Avg_PacketLossRateAvg=avg(PacketLossRateAvg),
Avg_PacketLossRateMax=avg(PacketLossRateMax)
Jitter durchschnittliche Histogramme
Erzeugt ein Histogramm des durchschnittlichen Jitters pro Datenstrom.
ACSCallDiagnostics
// Filter null values
| where isnotnull(JitterAvg)
// Count jitter values by 10 millisecond intervals
| summarize JitterAvg_counts=count() by bin(JitterAvg, 10)
| order by JitterAvg asc
| render columnchart with (xcolumn = JitterAvg, title="JitterAvg histogram")
Jitter max Histogramm
Erzeugt ein Histogramm von max jitter pro Stream.
ACSCallDiagnostics
// Filter null values
| where isnotnull(JitterMax)
// Count jitter values by 10 millisecond intervals
|summarize JitterMax_counts=count() by JitterMax
| order by JitterMax asc
| render columnchart with (xcolumn = JitterMax, title="JitterMax histogram")
Durchschnittliche Paketverlustrate (Histogramm)
Erzeugt ein Histogramm der durchschnittlichen Paketverlustrate pro Datenstrom.
ACSCallDiagnostics
// Filter null values
| where isnotnull(PacketLossRateAvg)
// Count packet loss rate values within an inverval of 0.01 (1%)
| summarize PacketLossRateAvg_counts=count() by bin(PacketLossRateAvg, 0.01)
| order by PacketLossRateAvg asc
| render columnchart with (xcolumn = PacketLossRateAvg, title="PacketLossRateAvg histogram")
Paketverlustrate max Histogramm
Erzeugt ein Histogramm der maximalen Paketverlustrate pro Datenstrom.
ACSCallDiagnostics
// Filter null values
| where isnotnull(PacketLossRateMax)
// Count packet loss rate values within an inverval of 0.01 (1%)
|summarize PacketLossRateMax_counts=count() by bin(PacketLossRateMax, 0.01)
| order by PacketLossRateMax asc
| render columnchart with (xcolumn = PacketLossRateMax, title="PacketLossRateMax histogram")
Roundtripzeit durchschnittliche Histogramme
Erzeugt ein Histogramm der durchschnittlichen Roundtripzeit pro Datenstrom.
// RoundTripTime Average Histogram
ACSCallDiagnostics
// Filter null values
| where isnotnull(RoundTripTimeAvg)
// Count round trip time values by 10 millisecond intervals
|summarize RoundTripTimeAvg_counts=count() by bin(RoundTripTimeAvg, 10)
| order by RoundTripTimeAvg asc
| render columnchart with (xcolumn = RoundTripTimeAvg, title="RoundTripTimeAvg histogram")
Roundtripzeit max Histogramm
Erzeugt ein Histogramm der maximalen Roundtripzeit pro Datenstrom.
ACSCallDiagnostics
// Filter null values
| where isnotnull(RoundTripTimeMax)
// Count round trip time values by 10 millisecond intervals
|summarize RoundTripTimeMax_counts=count() by bin(RoundTripTimeMax, 10)
| order by RoundTripTimeMax asc
| render columnchart with (xcolumn = RoundTripTimeMax, title="RoundTripTimeMax histogram")
Jitter-Qualitätsverhältnis
Erzeugt ein Kreisdiagramm des Anteils von Datenströmen mit guter oder schlechter Jitterqualität.
ACSCallDiagnostics
// Classify the jitter quality as Poor or Good based on
// whether the average jitter is higher than 30 milliseconds
| project JitterQuality = iff(JitterAvg > 30, "Poor", "Good")
// Counts the number of streams per jitter quality
| summarize count() by JitterQuality
| render piechart title="Jitter Quality"
Qualitätsverhältnis von Paketverlusten
Erzeugt ein Kreisdiagramm des Anteils von Datenströmen mit guter oder schlechter Paketverlustrate.
ACSCallDiagnostics
// Classify packet loss rate quality as Poor or Good based on
// whether the average packet loss rate is higher than 10%
| project PacketLossRateQuality = iff(PacketLossRateAvg > 0.1, "Poor", "Good")
// Count the number of streams per packet loss rate quality
| summarize count() by PacketLossRateQuality
| render piechart title="Packet Loss Rate Quality"
Roundtripzeitqualitätsverhältnis
Erzeugt ein Kreisdiagramm des Anteils von Datenströmen mit guter oder schlechter Roundtrip-Zeitqualität.
ACSCallDiagnostics
// Classifying the round trip time quality as Poor or Good based on
// whether the average round trip time is higher than 500 milliseconds
| project RoundTripTimeQuality = iff(RoundTripTimeAvg > 500, "Poor", "Good")
// Count the number of streams per round trip time quality
| summarize count() by RoundTripTimeQuality
| render piechart title="Round Trip Time Quality"
CallDiagnostics-Protokoll für CallAutomation-API-Aufruf
Fragt das Diagnoseprotokoll für einen Aufruf ab, mit dem die Anrufautomatisierungs-API mithilfe der Korrelations-ID interagiert wurde.
ACSCallAutomationIncomingOperations
//| where CorrelationId == "<correlation ID>" // This can be uncommented to filter on a specific correlation ID
| join kind=inner
(ACSCallDiagnostics)
on CorrelationId
| limit 100
Suchaufrufe nach Schlüsselwort
Listet alle Aufrufe auf, die das Schlüsselwort enthalten, und gibt die Details des Anrufs zurück, einschließlich Bewertung, Qualität, Problemaufschlüsselung usw. Diese Abfrage wird auch in der Anrufdiagnose verwendet, um nach Anrufen zu suchen.
// Set queryConditions_keyword to be the searching keyword. It can be CallId, ParticipantId,
// Identifier or any other column values in ACSCallSummary log. If not set, the query will return all calls.
// Note this query is also used to provide the data in Call Diagnostics.
declare query_parameters(queryConditions_keyword:string = '',
queryConditions_startTime:string = '',
queryConditions_endTime:string = '');
let callIds =
materialize(ACSCallSummary
| where isempty(queryConditions_startTime) or CallStartTime >= todatetime(queryConditions_startTime)
| extend CallEndTime = CallStartTime + totimespan(strcat(tostring(CallDuration), 's'))
| where isempty(queryConditions_endTime) or CallEndTime <= todatetime(queryConditions_endTime)
| where isempty(queryConditions_keyword) or * contains queryConditions_keyword
| distinct CorrelationId, ParticipantId);
let searchedCalls =
materialize(ACSCallSummary
| where CorrelationId in ((callIds | project CorrelationId))
| extend CallEndTime = CallStartTime + totimespan(strcat(tostring(CallDuration), 's'))
| where CorrelationId != ParticipantId
| extend ParticipantId = coalesce(ParticipantId, Identifier, EndpointId)
| extend ParticipantId = iff(ParticipantId == 'Redacted', strcat('RedactedParticipant-', EndpointType, '-Identifier-', Identifier), ParticipantId)
| extend EndpointId = iff(EndpointId == 'Redacted', strcat('RedactedEndpoint-', EndpointType, '-Identifier-', Identifier), EndpointId)
| summarize hint.strategy = shuffle CallStartTime = take_any(CallStartTime), CallEndTime = take_any(CallEndTime), CallType = take_any(CallType),
numOfDroppedParticipant = count_distinctif(ParticipantId, ParticipantEndReason in ('380', '400', '407', '408', '409', '410',
'412', '417', '430', '439', '440', '481', '483', '488', '489', '493', '500', '502', '503', '504', '580')) by CorrelationId);
// client type
let allParticipants = materialize(ACSCallSummary
| where CorrelationId != ParticipantId
| extend ParticipantId = coalesce(ParticipantId, Identifier, EndpointId)
| extend ParticipantId = iff(ParticipantId == 'Redacted', strcat('RedactedParticipant-', EndpointType, '-Identifier-', Identifier), ParticipantId)
| extend EndpointId = iff(EndpointId == 'Redacted', strcat('RedactedEndpoint-', EndpointType, '-Identifier-', Identifier), EndpointId)
| where CorrelationId in ((callIds | project CorrelationId))
| union (ACSCallClientOperations
| where CallId in ((callIds | project CorrelationId))
| where isnotempty(ParticipantId)
| distinct ParticipantId, CorrelationId = CallId, EndpointType = 'VoIP')
| summarize hint.strategy = shuffle take_any(EndpointType) by ParticipantId, CorrelationId);
let clientTypeInfo = materialize(allParticipants
| summarize hint.strategy = shuffle count() by EndpointType, CorrelationId
| extend info = strcat(count_, ' ', EndpointType)
| summarize hint.strategy = shuffle summaryInfo = make_list(info, 100) by CorrelationId
| extend ClientType = strcat_array(summaryInfo, ', ')
| project CorrelationId, ClientType);
let totalNumOfParticipants = materialize(allParticipants | summarize hint.strategy = shuffle participantsCount = dcount(ParticipantId) by CorrelationId);
// quality
let qualityInfo = materialize(ACSCallDiagnostics
| where CorrelationId in ((callIds | project CorrelationId))
| where CorrelationId != ParticipantId
| extend ParticipantId = coalesce(ParticipantId, Identifier, EndpointId)
| extend ParticipantId = iff(ParticipantId == 'Redacted', strcat('RedactedParticipant-', EndpointType, '-Identifier-', Identifier), ParticipantId)
| extend EndpointId = iff(EndpointId == 'Redacted', strcat('RedactedEndpoint-', EndpointType, '-Identifier-', Identifier), EndpointId)
| where isnotempty(StreamId)
| summarize hint.strategy = shuffle arg_max(TimeGenerated, *) by ParticipantId, StreamId
| extend
MediaType = iff(MediaType == 'VBSS', 'ScreenSharing', MediaType) | extend
__JitterQuality = iff(JitterAvg > 30, "Poor", "Good"),
__JitterBufferQuality = iff(JitterBufferSizeAvg > 200, "Poor", "Good"),
__PacketLossRateQuality = iff(PacketLossRateAvg > 0.1, "Poor", "Good"),
__RoundTripTimeQuality = iff(RoundTripTimeAvg > 500, "Poor", "Good"),
__HealedDataRatioQuality = iff(HealedDataRatioAvg > 0.1, "Poor", "Good"),
__VideoFrameRateQuality = iff((VideoFrameRateAvg < 1 and MediaType == 'ScreenSharing') or
(VideoFrameRateAvg < 7 and MediaType == 'Video'), "Poor", "Good"),
__FreezesQuality = iff((RecvFreezeDurationPerMinuteInMs > 25000 and MediaType == 'ScreenSharing') or
(RecvFreezeDurationPerMinuteInMs > 6000 and MediaType == 'Video'), "Poor", "Good"),
__VideoResolutionHeightQuality = iff((RecvResolutionHeight < 768 and MediaType == 'ScreenSharing') or
(RecvResolutionHeight < 240 and MediaType == 'Video'), "Poor", "Good")
| extend
__StreamQuality = iff(
(__JitterQuality == "Poor")
or (__JitterBufferQuality == "Poor")
or (__PacketLossRateQuality == "Poor")
or (__RoundTripTimeQuality == "Poor")
or (__HealedDataRatioQuality == "Poor")
or (__VideoFrameRateQuality == "Poor")
or (__FreezesQuality == "Poor")
or (__VideoResolutionHeightQuality == "Poor"),
"Poor", "Good"),
MediaDirection = iff(EndpointType == 'Server', 'InboundStream', 'OutboundStream')
| summarize hint.strategy = shuffle numOfPoorStreams = countif(__StreamQuality == 'Poor') by CorrelationId
| extend Quality = iff(numOfPoorStreams >0, 'Poor', 'Good') | project Quality, numOfPoorStreams, CorrelationId);
// rating
let ratingInfo = materialize(ACSCallSurvey
| where CallId in ((callIds | project CorrelationId))
| extend OverallRatingScoreUpperBound = iff(isnotempty(OverallRatingScoreUpperBound), OverallRatingScoreUpperBound, 5)
| summarize hint.strategy = shuffle Rating = avg(OverallRatingScore*5.0/OverallRatingScoreUpperBound) by CallId
| project CorrelationId=CallId, Rating);
// client operation issues
let rangeEventsWithCorrelation = dynamic(['UserFacingDiagnostics']);
let pointEvents = dynamic([
'SelectedMicrophoneChanged', 'SelectedSpeakerChanged', 'OptimalVideoCount-changed', 'State-changed', 'CallMode-changed',
'IsMuted-changed', 'IsIncomingAudioMuted-changed', 'Id-changed', 'Role-changed', 'SelectedDevice-changed', 'PageHidden',
'optimalVideoCount-changed', 'state-changed', 'callMode-changed', 'isMuted-changed', 'isIncomingAudioMuted-changed',
'id-changed', 'role-changed', 'selectedDevice-changed', 'pageHidden']);
// We need clientIds to get all operations before call is established.
let callClientIds = materialize(ACSCallClientOperations
| where ParticipantId in ((callIds | project ParticipantId)) or CallId in ((callIds | project CorrelationId))
| distinct ClientInstanceId, ParticipantId, CallId);
//
let allOperations =
materialize(callClientIds | join kind=rightouter hint.strategy=shuffle
(ACSCallClientOperations
| where isempty(queryConditions_startTime) or CallClientTimeStamp >= (todatetime(queryConditions_startTime) - 2h)
| where ParticipantId in ((callIds | project ParticipantId)) or CallId in ((callIds | project CorrelationId)) or ClientInstanceId in ((callClientIds | project ClientInstanceId))
| where isnotempty(OperationName) and OperationName != 'CallClientOperations'
and isnotempty(OperationId) and isnotempty(CallClientTimeStamp))
on ClientInstanceId
| extend ParticipantId = coalesce(ParticipantId, ParticipantId1), CallId = coalesce(CallId, CallId1)
| project-away ParticipantId1, ClientInstanceId1, CallId1
| summarize hint.strategy = shuffle arg_max(TimeGenerated, *) by OperationId, CallClientTimeStamp);
//
let correlatedOperations = materialize(allOperations
| where OperationName in (rangeEventsWithCorrelation)
| extend OperationPayload = todynamic(OperationPayload)
| extend
UFDQuality = tostring(OperationPayload.DiagnosticQuality),
UFDType = tostring(OperationPayload.DiagnosticChanged)
| extend UFDType = strcat(toupper(substring(UFDType, 0, 1)),substring(UFDType, 1))
| extend OperationPayloadNew = bag_pack(tostring(CallClientTimeStamp), OperationPayload)
| project-away ResultType
| summarize hint.strategy = shuffle
arg_max(TimeGenerated, *), ResultType = iff(countif(UFDQuality != 'Good')>0, 'Failed', 'Succeeded'),
OperationStartTime = min(CallClientTimeStamp), OperationEndTime = max(CallClientTimeStamp),
OperationPayloadPacked = make_bag(OperationPayloadNew) by OperationId, UFDType, CallId
| extend ResultType = iff(UFDType has_any ("SpeakingWhileMicrophoneIsMuted", "SpeakerMuted"), 'Succeeded', ResultType), OperationName = UFDType
| where ResultType !in ('Succeeded', 'Success', 'ExpectedError'));
//
let nonCorrelatedOperations = materialize(allOperations
| where OperationName !in (rangeEventsWithCorrelation)
| extend OperationId = coalesce(hash_sha256(strcat(OperationId, tostring(CallClientTimeStamp))), tostring(new_guid()))
| summarize hint.strategy = shuffle arg_max(TimeGenerated, *) by OperationId, CallId
| where ResultType !in ('Succeeded', 'Success', 'ExpectedError'));
let clientOperationIssues =
materialize(union nonCorrelatedOperations, correlatedOperations
| summarize hint.strategy = shuffle numOfBadOperations=count() by OperationName, CallId
| extend badClientOperations = bag_pack(OperationName, numOfBadOperations)
| summarize hint.strategy = shuffle badClientOperations = make_bag(badClientOperations), numOfBadOperations = sum(numOfBadOperations) by CorrelationId=CallId);
////
searchedCalls
| join kind=leftouter hint.strategy=shuffle clientTypeInfo on CorrelationId
| join kind=leftouter hint.strategy=shuffle qualityInfo on CorrelationId
| join kind=leftouter hint.strategy=shuffle ratingInfo on CorrelationId
| join kind=leftouter hint.strategy=shuffle clientOperationIssues on CorrelationId
| join kind=leftouter hint.strategy=shuffle totalNumOfParticipants on CorrelationId
| extend numOfPoorStreams = coalesce(numOfPoorStreams, 0)
| extend
drops=bag_pack('Call Ended Ungracefully',numOfDroppedParticipant),
badMediaStreams = bag_pack('Poor Media Streams', numOfPoorStreams),
Issues = coalesce(numOfBadOperations, 0) + numOfDroppedParticipant + numOfPoorStreams
| extend
IssuesBreakdown=bag_merge(drops, badClientOperations, badMediaStreams)
| project
CallId=CorrelationId, CallStartTime, CallEndTime, CallType,
Participants=participantsCount, ClientType,
Quality=iff(isempty(Quality), 'Unknown', Quality),
Rating=case(isempty(Rating), 'Unknown', Rating>=4.5, 'Good', Rating >=3, 'Average', 'Poor'),
NumOfDroppedParticipant = numOfDroppedParticipant,
NumOfPoorStreams = numOfPoorStreams,
Issues, IssuesBreakdown
| order by CallStartTime desc
Durchsuchen aller Teilnehmer in einem Anruf
Suchen Sie alle Teilnehmer in einem Anruf nach callId, und geben Sie die Details der Teilnehmer zurück. Diese Abfrage wird auch in der Anrufdiagnose verwendet, um nach Teilnehmern zu suchen.
// Set queryConditions_callId to be the CallId you want to query.
// Note this query is used in Call Diagnostics to get all the participant entities of a call.
declare query_parameters(queryConditions_callId:string = '');
let participants = materialize(ACSCallSummary
| where CorrelationId == queryConditions_callId
| where ParticipantId != CorrelationId and isnotempty(ParticipantId)
| distinct ParticipantId, CallType);
let serviceSideParticipants = materialize(ACSCallSummary
| where CorrelationId == queryConditions_callId
// some participants don't have startTime, we use callStartTime instead.
| extend ParticipantStartTime = coalesce(ParticipantStartTime, CallStartTime)
| extend ParticipantEndTime = coalesce(ParticipantStartTime + 1s*ParticipantDuration, ParticipantStartTime + 10ms)
| extend EndReason=case(
ParticipantEndReason == "0", "Success",
ParticipantEndReason == "100","Trying",
ParticipantEndReason == "180","Ringing",
ParticipantEndReason == "181","Call Is Being Forwarded",
ParticipantEndReason == "182","Queued",
ParticipantEndReason == "183","Session Progress",
ParticipantEndReason == "199","Early Dialog Terminated",
ParticipantEndReason == "200","Success",
ParticipantEndReason == "202","Accepted",
ParticipantEndReason == "204","No Notification",
ParticipantEndReason == "300","Multiple Choices",
ParticipantEndReason == "301","Moved Permanently",
ParticipantEndReason == "302","Moved Temporarily",
ParticipantEndReason == "305","Use Proxy",
ParticipantEndReason == "380","Alternative Service",
ParticipantEndReason == "400","Bad Request",
ParticipantEndReason == "401","Unauthorized",
ParticipantEndReason == "402","Payment Required",
ParticipantEndReason == "403","Forbidden / Authentication failure",
ParticipantEndReason == "404","Call not found",
ParticipantEndReason == "405","Method Not Allowed",
ParticipantEndReason == "406","Not Acceptable",
ParticipantEndReason == "407","Proxy Authentication Required",
ParticipantEndReason == "408","Call controller timed out",
ParticipantEndReason == "409","Conflict",
ParticipantEndReason == "410","Local media stack or media infrastructure error",
ParticipantEndReason == "411","Length Required",
ParticipantEndReason == "412","Conditional Request Failed",
ParticipantEndReason == "413","Request Entity Too Large",
ParticipantEndReason == "414","Request-URI Too Large",
ParticipantEndReason == "415","Unsupported Media Type",
ParticipantEndReason == "416","Unsupported URI Scheme",
ParticipantEndReason == "417","Unknown Resource-Priority",
ParticipantEndReason == "420","Bad Extension",
ParticipantEndReason == "421","Extension Required",
ParticipantEndReason == "422","Session Interval Too Small",
ParticipantEndReason == "423","Interval Too Brief",
ParticipantEndReason == "424","Bad Location Information",
ParticipantEndReason == "428","Use Identity Header",
ParticipantEndReason == "429","Provide Referrer Identity",
ParticipantEndReason == "430","Unable to deliver message to client application",
ParticipantEndReason == "433","Anonymity Disallowed",
ParticipantEndReason == "436","Bad Identity-Info",
ParticipantEndReason == "437","Unsupported Certificate",
ParticipantEndReason == "438","Invalid Identity Header",
ParticipantEndReason == "439","First Hop Lacks Outbound Support",
ParticipantEndReason == "440","Max-Breadth Exceeded",
ParticipantEndReason == "469","Bad Info Package",
ParticipantEndReason == "470","Consent Needed",
ParticipantEndReason == "480","Remote client endpoint not registered",
ParticipantEndReason == "481","Failed to handle incoming call",
ParticipantEndReason == "482","Loop Detected",
ParticipantEndReason == "483","Too Many Hops",
ParticipantEndReason == "484","Address Incomplete",
ParticipantEndReason == "485","Ambiguous",
ParticipantEndReason == "486","Busy Here",
ParticipantEndReason == "487","Call canceled, locally declined, ended due to an endpoint mismatch issue, or failed to generate media offer",
ParticipantEndReason == "488","Not Acceptable Here",
ParticipantEndReason == "489","Bad Event",
ParticipantEndReason == "490","Local endpoint network issues",
ParticipantEndReason == "491","Local endpoint network issues",
ParticipantEndReason == "493","Undecipherable",
ParticipantEndReason == "494","Security Agreement Required",
ParticipantEndReason == "496","Local endpoint network issues",
ParticipantEndReason == "497","Local endpoint network issues",
ParticipantEndReason == "498","Local endpoint network issues",
ParticipantEndReason == "500","Communication Services infrastructure error",
ParticipantEndReason == "501","Not Implemented",
ParticipantEndReason == "502","Bad Gateway",
ParticipantEndReason == "503","Communication Services infrastructure error",
ParticipantEndReason == "504","Communication Services infrastructure error",
ParticipantEndReason == "505","Version Not Supported",
ParticipantEndReason == "513","Message Too Large",
ParticipantEndReason == "555","Push Notification Service Not Supported",
ParticipantEndReason == "580","Precondition Failure",
ParticipantEndReason == "600","Busy Everywhere",
ParticipantEndReason == "603","Call globally declined by remote Communication Services participant",
ParticipantEndReason == "604","Does Not Exist Anywhere",
ParticipantEndReason == "606","Not Acceptable",
ParticipantEndReason == "607","Unwanted",
ParticipantEndReason == "608","Rejected", "")
| extend Rank = iff(isempty(ParticipantId) and CallType == 'P2P' and EndpointType == 'VoIP', -1, 1)
| where CorrelationId != ParticipantId
| extend ParticipantId = coalesce(ParticipantId, Identifier, EndpointId)
| extend ParticipantId = iff(ParticipantId == 'Redacted', strcat('RedactedParticipant-', EndpointType, '-Identifier-', Identifier), ParticipantId)
| extend EndpointId = iff(EndpointId == 'Redacted', strcat('RedactedEndpoint-', EndpointType, '-Identifier-', Identifier), EndpointId)
| summarize hint.strategy = shuffle arg_max(TimeGenerated, *) by ParticipantId
| extend CallDroppedUngracefully = ParticipantEndReason in ('380', '400', '407', '408', '409', '410',
'412', '417', '430', '439', '440', '481', '483', '488', '489', '493', '500', '502', '503', '504', '580')
| project
ParentEntityId = CorrelationId,
ParentEntityType = 'Call',
EntityType = 'Participant',
EntityId = ParticipantId,
EntityStartTime=ParticipantStartTime,
EntityEndTime=ParticipantEndTime,
EntityDuration=ParticipantDuration,
EntityDisplayName = strcat('Participant-', ParticipantId),
EntityPayload = bag_pack(
'EndReasonCode', toint(ParticipantEndReason),
'EndReasonPhrase', EndReason,
'Identifier', Identifier,
'EndpointId', EndpointId,
'ParticipantType', ParticipantType,
'EndpointType', EndpointType,
'SdkVersion', SdkVersion,
'OsVersion', OsVersion,
'PstnParticipantCallType', PstnParticipantCallType
),
Insights_HasIssues = CallDroppedUngracefully,
Insights_Payload = bag_pack(
'EndReasonCode', toint(ParticipantEndReason),
'EndReasonPhrase', EndReason,
'ParticipantId', ParticipantId,
'CallDroppedUngracefully', CallDroppedUngracefully),
GroupName = "lifeCycle",
Rank);
//
let clientSideParticipants = materialize(ACSCallClientOperations
| where ParticipantId in (participants) or CallId == queryConditions_callId
| where isnotempty(OperationName) and OperationName != 'CallClientOperations'
and isnotempty(OperationId) and isnotempty(CallClientTimeStamp)
| extend OperationId = coalesce(hash_sha256(strcat(OperationId, tostring(CallClientTimeStamp), OperationName)), tostring(new_guid()))
| summarize hint.strategy = shuffle arg_max(CallId, *) by OperationId
| where isnotempty(ParticipantId)
| extend OS = parse_user_agent(UserAgent, 'os').OperatingSystem
| extend OsVersion = strcat(OS.Family, OS.MajorVersion,'.', OS.MinorVersion)
| project OperationId, ParticipantId, CallId, CallClientTimeStamp, OperationName, OperationPayload, OsVersion, SdkVersion, ResultSignature, ResultType
| extend OperationPayload = todynamic(OperationPayload)
| extend
UFDQuality = tostring(OperationPayload.DiagnosticQuality),
UFDType = tostring(OperationPayload.DiagnosticChanged),
isUFD = OperationName == 'UserFacingDiagnostics'
| extend
ResultType = iff(isUFD, iff(UFDQuality != 'Good' and not(UFDType has_any ("SpeakingWhileMicrophoneIsMuted", "SpeakerMuted")), 'Failed', 'Succeeded'), ResultType),
CallDroppedUngracefully = iff(OperationName in ('Hangup', 'EnterCall', 'Join'), ResultType !in ('Succeeded', 'Success', 'ExpectedError'), False),
ParticipantStartTime = iff(OperationName == 'EnterCall', CallClientTimeStamp, datetime(null)),
ParticipantEndTime = iff(OperationName == 'Hangup', CallClientTimeStamp, datetime(null))
| summarize hint.strategy = shuffle arg_max(CallId, *), ResultType = iff(countif(ResultType == 'Failed') > 0, 'Failed', 'Succeeded'),
CallDroppedUngracefully = countif(CallDroppedUngracefully) > 0,
ParticipantStartTimeApprox = min(CallClientTimeStamp),
ParticipantEndTimeApprox = max(CallClientTimeStamp) by ParticipantId
| extend
ParticipantStartTime = coalesce(ParticipantStartTime, ParticipantStartTimeApprox),
ParticipantEndTime = coalesce(ParticipantEndTime, ParticipantEndTimeApprox)
| project
ParentEntityId = queryConditions_callId,
ParentEntityType = 'Call',
EntityId = ParticipantId,
EntityType = 'Participant',
EntityDisplayName = strcat('Participant-', ParticipantId),
EntityStartTime=ParticipantStartTime,
EntityEndTime=ParticipantEndTime,
EntityDuration=tolong((ParticipantEndTime - ParticipantStartTime)/1s),
EntityPayload = bag_pack(
'ParticipantType', 'ACS',
'EndpointType', 'VoIP',
'SdkVersion', SdkVersion,
'OsVersion', OsVersion
),
Insights_HasIssues = ResultType == 'Failed',
Insights_Payload = bag_pack('ParticipantId', ParticipantId, 'CallDroppedUngracefully', CallDroppedUngracefully),
GroupName = "lifeCycle",
Rank = 0);
// Merge participantEntities from service side and client side, and if the participant exists in both sides, we take the one with higher Rank.
union serviceSideParticipants, clientSideParticipants
| summarize hint.strategy = shuffle arg_max(Rank, *), EntityPayload_Merged = make_bag(EntityPayload),
Insights_Payload_Merged = make_bag(Insights_Payload),
Insights_HasIssues_Merged = countif(Insights_HasIssues) > 0 by EntityId
| order by Rank
| project
ParentEntityId,
ParentEntityType,
EntityId,
EntityType,
EntityDisplayName,
EntityStartTime,
EntityEndTime,
EntityDuration,
EntityPayload = EntityPayload_Merged,
Insights_HasIssues = Insights_HasIssues_Merged,
Insights_Payload = Insights_Payload_Merged