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parse operator

Applies to: ✅Microsoft FabricAzure Data ExplorerAzure MonitorMicrosoft Sentinel

valuta un'espressione stringa e analizza il relativo valore in una o più colonne calcolate. Le colonne calcolate restituiscono null valori per stringhe analizzate senza esito positivo. If there's no need to use rows where parsing doesn't succeed, prefer using the parse-where operator.

Syntax

T| parse [ kind=kind [ flags=regexFlags ]] expressionwith [ * ] stringConstantcolumnName [:columnType] [ * ] , ...

Learn more about syntax conventions.

Parameters

Name Type Required Description
T string ✔️ Input tabulare da analizzare.
kind string ✔️ Uno dei valori di tipo supportati. Il valore predefinito è simple.
regexFlags string If kind is regex, then you can specify regex flags to be used like U for ungreedy, m for multi-line mode, s for match new line \n, and i for case-insensitive. More flags can be found in Flags.
expression string ✔️ un'espressione che restituisce una stringa.
stringConstant string ✔️ Costante stringa per cui eseguire la ricerca e l'analisi.
columnName string ✔️ il nome di una colonna a cui assegnare un valore, estratto dall'espressione stringa.
columnType string Il valore calare che indica il tipo in cui convertire il valore. Il valore predefinito è string.

Note

  • The parse pattern can start with ColumnName in addition to StringConstant.
  • Usare * nel modello per ignorare i valori della posta indesiderata. Non è possibile usare * dopo una colonna di tipo string.
  • If the parsed expression isn't of type string, it will be converted to type string.
  • Usare project se si vogliono anche eliminare o rinominare alcune colonne.

Valori di kind supportati

Text Description
simple Questo è il valore predefinito. stringConstant is a regular string value and the match is strict. Nella stringa analizzata dovranno comparire tutti i delimitatori di stringa e tutte le colonne estese devono corrispondere ai tipi richiesti.
regex stringConstant can be a regular expression and the match is strict. Nella stringa analizzata dovranno comparire tutti i delimitatori di stringa, che possono essere regex per questa modalità, e tutte le colonne estese devono corrispondere ai tipi richiesti.
relaxed stringConstant is a regular string value and the match is relaxed. Tutti i delimitatori di stringa devono essere visualizzati nella stringa analizzata, ma le colonne estese potrebbero corrispondere parzialmente ai tipi richiesti. Le colonne estese che non corrispondono ai tipi richiesti ottengono il valore null.

Regex mode

In modalità regex, parse converte il modello in un'espressione regolare. Use regular expressions to do the matching and use numbered captured groups that are handled internally. For example:

parse kind=regex Col with * <regex1> var1:string <regex2> var2:long

Nell'istruzione parse l'espressione regolare generata internamente dall'analisi è .*?<regex1>(.*?)<regex2>(\-\d+).

  • * viene convertito in .*?.

  • string viene convertito in .*?.

  • long viene convertito in \-\d+.

Returns

La tabella di input, estesa in base all'elenco di colonne fornite all'operatore.

Examples

Negli esempi di questa sezione viene illustrato come usare la sintassi per iniziare.

The examples in this article use publicly available tables in the help cluster, such as the StormEvents table in the Samples database.

The examples in this article use publicly available tables, such as the Weather table in the Weather analytics sample gallery. Potrebbe essere necessario modificare il nome della tabella nella query di esempio in modo che corrisponda alla tabella nell'area di lavoro.

L'operatore parse offre l'istruzione extend per semplificare l'estensione di una tabella usando più applicazioni extract nella stessa espressione string. Questo risultato è utile se la tabella include una colonna string contenente diversi valori, per cui è preferibile dividerla in singole colonne, Ad esempio, una colonna prodotta da un'istruzione di traccia per sviluppatori ("printf"/"Console.WriteLine").

Analizzare ed estendere i risultati

Nell'esempio seguente la colonna EventText della tabella Traces contiene stringhe del formato Event: NotifySliceRelease (resourceName={0}, totalSlices={1}, sliceNumber={2}, lockTime={3}, releaseTime={4}, previousLockTime={5}). L'operazione estende la tabella con sei colonne: resourceName, totalSlices, sliceNumberlockTime, releaseTime, e previousLockTime.

let Traces = datatable(EventText: string)
    [
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=02/17/2016 08:40:00, previousLockTime=02/17/2016 08:39:00)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:00)"
];
Traces  
| parse EventText with * "resourceName=" resourceName ", totalSlices=" totalSlices: long * "sliceNumber=" sliceNumber: long * "lockTime=" lockTime ", releaseTime=" releaseTime: date "," * "previousLockTime=" previousLockTime: date ")" *  
| project resourceName, totalSlices, sliceNumber, lockTime, releaseTime, previousLockTime

Output

resourceName totalSlices sliceNumber lockTime releaseTime previousLockTime
PipelineScheduler 27 15 02/17/2016 08:40:00 2016-02-17 08:40:00.0000000 2016-02-17 08:39:00.0000000
PipelineScheduler 27 23 02/17/2016 08:40:01 2016-02-17 08:40:01.0000000 2016-02-17 08:39:01.0000000
PipelineScheduler 27 20 02/17/2016 08:40:01 2016-02-17 08:40:01.0000000 2016-02-17 08:39:01.0000000
PipelineScheduler 27 16 02/17/2016 08:41:00 2016-02-17 08:41:00.0000000 2016-02-17 08:40:00.0000000
PipelineScheduler 27 22 02/17/2016 08:41:01 2016-02-17 08:41:00.0000000 2016-02-17 08:40:01.0000000

Estrarre alias di posta elettronica e DNS

In the following example, entries from the Contacts table are parsed to extract the alias and ___domain from an email address, and the ___domain from a website URL. La query restituisce le EmailAddresscolonne , EmailAliase WebsiteDomain , in cui la fullEmail colonna combina gli alias e i domini di posta elettronica analizzati.

let Leads=datatable(Contacts: string)
    [
    "Event: LeadContact (email=john@contosohotel.com, Website=https:contosohotel.com)",
	"Event: LeadContact (email=abi@fourthcoffee.com, Website=https:www.fourthcoffee.com)",
	"Event: LeadContact (email=nevena@treyresearch.com, Website=https:treyresearch.com)",
	"Event: LeadContact (email=faruk@tailspintoys.com, Website=https:tailspintoys.com)",
	"Event: LeadContact (email=ebere@relecloud.com, Website=https:relecloud.com)",
];
Leads
| parse Contacts with * "email=" alias:string "@" ___domain: string ", Website=https:" WebsiteDomain: string ")"
| project EmailAddress=strcat(alias, "@", ___domain), EmailAlias=alias, WebsiteDomain

Output

EmailAddress EmailAlias WebsiteDomain
nevena@treyresearch.com nevena treyresearch.com
john@contosohotel.com john contosohotel.com
faruk@tailspintoys.com faruk tailspintoys.com
ebere@relecloud.com ebere relecloud.com
abi@fourthcoffee.com abi www.fourthcoffee.com

Regex mode

Nell'esempio seguente vengono usate espressioni regolari per analizzare ed estrarre dati dalla EventText colonna. I dati estratti vengono proiettati in nuovi campi.

let Traces=datatable(EventText: string)
    [
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=02/17/2016 08:40:00, previousLockTime=02/17/2016 08:39:00)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:00)"
];
Traces  
| parse kind=regex EventText with "(.*?)[a-zA-Z]*=" resourceName @", totalSlices=\s*\d+\s*.*?sliceNumber=" sliceNumber: long  ".*?(previous)?lockTime=" lockTime ".*?releaseTime=" releaseTime ".*?previousLockTime=" previousLockTime: date "\\)"  
| project resourceName, sliceNumber, lockTime, releaseTime, previousLockTime

Output

resourceName sliceNumber lockTime releaseTime previousLockTime
PipelineScheduler 15 02/17/2016 08:40:00, 02/17/2016 08:40:00, 2016-02-17 08:39:00.0000000
PipelineScheduler 23 02/17/2016 08:40:01, 02/17/2016 08:40:01, 2016-02-17 08:39:01.0000000
PipelineScheduler 20 02/17/2016 08:40:01, 02/17/2016 08:40:01, 2016-02-17 08:39:01.0000000
PipelineScheduler 16 02/17/2016 08:41:00, 02/17/2016 08:41:00, 2016-02-17 08:40:00.0000000
PipelineScheduler 22 02/17/2016 08:41:01, 02/17/2016 08:41:00, 2016-02-17 08:40:01.0000000

Modalità Regex con flag regex

Nell'esempio resourceName seguente viene estratto .

let Traces=datatable(EventText: string)
    [
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=02/17/2016 08:40:00, previousLockTime=02/17/2016 08:39:00)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:00)"
];
Traces
| parse kind=regex EventText with * "resourceName=" resourceName ',' *
| project resourceName

Output

resourceName
PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01
PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=02/17/2016 08:40:00
PipelineScheduler, totalSlices=27, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01
PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00
PipelineScheduler, totalSlices=27, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00

Se sono presenti record in cui resourceName talvolta viene visualizzato come minuscolo e talvolta come maiuscolo, è possibile ottenere valori Null per alcuni valori.

I risultati dell'esempio precedente sono imprevisti e includono i dati completi dell'evento poiché la modalità predefinita è greedy. Per estrarre solo resourceName, eseguire la query precedente con i flag regex non greedy Ue disabilitare i flag regex con distinzione i tra maiuscole e minuscole.

let Traces=datatable(EventText: string)
    [
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=02/17/2016 08:40:00, previousLockTime=02/17/2016 08:39:00)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:00)"
];
Traces
| parse kind=regex flags=Ui EventText with * "RESOURCENAME=" resourceName ',' *
| project resourceName

Output

resourceName
PipelineScheduler
PipelineScheduler
PipelineScheduler
PipelineScheduler
PipelineScheduler

Se la stringa analizzata include nuove righe, usare il flag s per analizzare il testo.

let Traces=datatable(EventText: string)
    [
    "Event: NotifySliceRelease (resourceName=PipelineScheduler\ntotalSlices=27\nsliceNumber=23\nlockTime=02/17/2016 08:40:01\nreleaseTime=02/17/2016 08:40:01\npreviousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler\ntotalSlices=27\nsliceNumber=15\nlockTime=02/17/2016 08:40:00\nreleaseTime=02/17/2016 08:40:00\npreviousLockTime=02/17/2016 08:39:00)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler\ntotalSlices=27\nsliceNumber=20\nlockTime=02/17/2016 08:40:01\nreleaseTime=02/17/2016 08:40:01\npreviousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler\ntotalSlices=27\nsliceNumber=22\nlockTime=02/17/2016 08:41:01\nreleaseTime=02/17/2016 08:41:00\npreviousLockTime=02/17/2016 08:40:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler\ntotalSlices=27\nsliceNumber=16\nlockTime=02/17/2016 08:41:00\nreleaseTime=02/17/2016 08:41:00\npreviousLockTime=02/17/2016 08:40:00)"
];
Traces
| parse kind=regex flags=s EventText with * "resourceName=" resourceName: string "(.*?)totalSlices=" totalSlices: long "(.*?)lockTime=" lockTime: datetime "(.*?)releaseTime=" releaseTime: datetime "(.*?)previousLockTime=" previousLockTime: datetime "\\)" 
| project-away EventText

Output

resourceName totalSlices lockTime releaseTime previousLockTime
PipelineScheduler
27 2016-02-17 08:40:00.0000000 2016-02-17 08:40:00.0000000 2016-02-17 08:39:00.0000000
PipelineScheduler
27 2016-02-17 08:40:01.0000000 2016-02-17 08:40:01.0000000 2016-02-17 08:39:01.0000000
PipelineScheduler
27 2016-02-17 08:40:01.0000000 2016-02-17 08:40:01.0000000 2016-02-17 08:39:01.0000000
PipelineScheduler
27 2016-02-17 08:41:00.0000000 2016-02-17 08:41:00.0000000 2016-02-17 08:40:00.0000000
PipelineScheduler
27 2016-02-17 08:41:01.0000000 2016-02-17 08:41:00.0000000 2016-02-17 08:40:01.0000000

Relaxed mode

Nell'esempio di modalità relaxed seguente, la colonna totalSlices estesa deve essere di tipo long. Nella stringa analizzata, tuttavia, ha il valore nonValidLongValue. Per la colonna estesa, releaseTime, il valore nonValidDateTime non può essere analizzato come datetime. Queste due colonne estese generano null valori mentre le altre colonne, ad esempio sliceNumber, comportano comunque i valori corretti.

Se si usa l'opzione kind = simple per la query seguente, si ottengono null i risultati per tutte le colonne estese. Questa opzione è strict nelle colonne estese ed è questa la differenza tra la modalità relaxed e la modalità simple.

Note

In modalità relaxed le colonne estese possono corrispondere parzialmente.

let Traces=datatable(EventText: string)
    [
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=nonValidDateTime 08:40:01, previousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=nonValidDateTime, previousLockTime=02/17/2016 08:39:00)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=nonValidLongValue, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=nonValidDateTime 08:40:01, previousLockTime=02/17/2016 08:39:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:01)",
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=nonValidLongValue, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:00)"
];
Traces
| parse kind=relaxed EventText with * "resourceName=" resourceName ", totalSlices=" totalSlices: long ", sliceNumber=" sliceNumber: long * "lockTime=" lockTime ", releaseTime=" releaseTime: date "," * "previousLockTime=" previousLockTime: date ")" *
| project-away EventText

Output

resourceName totalSlices sliceNumber lockTime releaseTime previousLockTime
PipelineScheduler 27 15 02/17/2016 08:40:00 2016-02-17 08:39:00.0000000
PipelineScheduler 27 23 02/17/2016 08:40:01 2016-02-17 08:39:01.0000000
PipelineScheduler 20 02/17/2016 08:40:01 2016-02-17 08:39:01.0000000
PipelineScheduler 16 02/17/2016 08:41:00 2016-02-17 08:41:00.0000000 2016-02-17 08:40:00.0000000
PipelineScheduler 27 22 02/17/2016 08:41:01 2016-02-17 08:41:00.0000000 2016-02-17 08:40:01.0000000