Nota
L'accesso a questa pagina richiede l'autorizzazione. È possibile provare ad accedere o modificare le directory.
L'accesso a questa pagina richiede l'autorizzazione. È possibile provare a modificare le directory.
Applies to: ✅Microsoft Fabric✅Azure Data Explorer✅Azure Monitor✅Microsoft 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 tipostring. - If the parsed expression isn't of type
string, it will be converted to typestring. - Usare
projectse 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.*?.stringviene convertito in.*?.longviene 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
StormEventstable in the Samples database.
The examples in this article use publicly available tables, such as the
Weathertable 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 |
Related content
- parse-json function
- extract function
- extract-all function
- extract-json function