Consultas para a tabela ACSCallDiagnostics
Fluxos por chamada
Calcula o número médio de fluxos por chamada.
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)
Fluxos por histograma de chamadas
Produz um histograma de número de fluxos por chamada.
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"
Proporção de tipo de suporte de dados
Produz um gráfico circular da proporção de fluxos de um determinado tipo de suporte de dados.
ACSCallDiagnostics
// Count the number of streams per media type
| summarize media_types=count() by MediaType
| render piechart title="Media Type Ratio"
Proporção de tipo de transporte
Produz um gráfico circular da proporção de fluxos com um determinado tipo de transporte.
ACSCallDiagnostics
// Count the number of streams per transport type
| summarize transport_types=count() by TransportType
| render piechart title="Transport Type Ratio"
Valores médios de telemetria
Calcula os valores médios dos seis campos de telemetria.
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)
Histograma médio nervoso
Produz um histograma de instabilidade média por fluxo.
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")
Histograma máx. nervoso
Produz um histograma de máx. por fluxo.
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")
Histograma médio da taxa de perda de pacotes
Produz um histograma da taxa média de perda de pacotes por fluxo.
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")
Histograma máximo da taxa de perda de pacotes
Produz um histograma da taxa máxima de perda de pacotes por fluxo.
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")
Histograma médio do tempo de ida e volta
Produz um histograma de tempo médio de ida e volta por fluxo.
// 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")
Histograma máximo de tempo de ida e volta
Produz um histograma de tempo máximo de ida e volta por fluxo.
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")
Proporção de qualidade de nervosismo
Produz um gráfico circular da proporção de fluxos com boa ou má qualidade.
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"
Rácio de qualidade da taxa de perda de pacotes
Produz um gráfico circular da proporção de fluxos com uma qualidade de taxa de perda de pacotes boa ou fraca.
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"
Proporção de qualidade do tempo de ida e volta
Produz um gráfico circular da proporção de fluxos com boa ou fraca qualidade de tempo de ida e volta.
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 log for CallAutomation API call (Registo callDiagnostics para chamada à API CallAutomation)
Consulta o registo de diagnósticos de uma chamada que foi interagida pela API de Automatização de Chamadas com o ID de correlação.
ACSCallAutomationIncomingOperations
//| where CorrelationId == "<correlation ID>" // This can be uncommented to filter on a specific correlation ID
| join kind=inner
(ACSCallDiagnostics)
on CorrelationId
| limit 100
Procurar chamadas por palavra-chave
Liste todas as chamadas encontradas que contêm a palavra-chave e devolve os detalhes da chamada, incluindo classificação, qualidade, discriminação de problemas, etc. Esta consulta também é utilizada no Diagnóstico de Chamadas para procurar chamadas.
// 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
Procurar todos os participantes numa chamada
Localize todos os participantes numa chamada por callId e devolva os detalhes dos participantes. Esta consulta também é utilizada no Diagnóstico de Chamadas para procurar participantes.
// 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
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