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parse operator

Applies to: ✅Microsoft FabricAzure Data ExplorerAzure MonitorMicrosoft Sentinel

évalue une expression de chaîne et analyse sa valeur dans une ou plusieurs colonnes calculées. Les colonnes calculées retournent null des valeurs pour les chaînes analysées sans succès. 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 ✔️ Entrée tabulaire à analyser.
kind string ✔️ Une des valeurs de type prises en charge. La valeur par défaut est 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 ✔️ expression qui prend la valeur d’une chaîne.
stringConstant string ✔️ Constante de chaîne pour laquelle rechercher et analyser.
columnName string ✔️ nom d’une colonne à laquelle attribuer une valeur extraite de l’expression de chaîne.
columnType string Valeur scalaire indiquant le type vers lequel convertir la valeur. Par défaut, il s’agit de string.

Note

  • The parse pattern can start with ColumnName in addition to StringConstant.
  • Utilisez * le modèle pour ignorer les valeurs de courrier indésirable. Le signe * ne peut pas être utilisé après une colonne de type string.
  • If the parsed expression isn't of type string, it will be converted to type string.
  • Utilisez project si vous souhaitez également supprimer ou renommer des colonnes.

Valeurs de kind prises en charge

Text Description
simple Il s’agit de la valeur par défaut. stringConstant is a regular string value and the match is strict. Tous les délimiteurs de chaîne doivent apparaître dans la chaîne analysée, et toutes les colonnes étendues doivent correspondre aux types requis.
regex stringConstant can be a regular expression and the match is strict. Tous les délimiteurs de chaîne, qui peuvent être une expression régulière pour ce mode, doivent apparaître dans la chaîne analysée, et toutes les colonnes étendues doivent correspondre aux types requis.
relaxed stringConstant is a regular string value and the match is relaxed. Tous les délimiteurs de chaîne doivent apparaître dans la chaîne analysée, mais les colonnes étendues peuvent correspondre partiellement aux types requis. Les colonnes étendues qui ne correspondent pas aux types requis obtiennent la valeur null.

Regex mode

En mode regex, l’analyse traduit le modèle en expression régulière. 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

Dans l’instruction d’analyse, l’expression régulière générée en interne par l’analyse est .*?<regex1>(.*?)<regex2>(\-\d+).

  • * a été traduit en .*?.

  • string a été traduit en .*?.

  • long a été traduit en \-\d+.

Returns

Table d’entrée, étendue conformément à la liste des colonnes fournies à l’opérateur.

Examples

Les exemples de cette section montrent comment utiliser la syntaxe pour vous aider à commencer.

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. Vous devrez peut-être modifier le nom de la table dans l’exemple de requête pour qu’elle corresponde à la table de votre espace de travail.

L’opérateur parse offre un moyen simplifié d’étendre (extend) une table à l’aide de plusieurs applications extract sur la même expression string. Ce résultat est utile lorsque la table comporte une colonne string qui contient plusieurs valeurs que vous souhaitez décomposer en colonnes individuelles. Par exemple, une colonne produite par une instruction de trace de développeur (« printf"/"Console.WriteLine »).

Analyser et étendre les résultats

Dans l’exemple suivant, la colonne EventText de table Traces contient des chaînes du formulaire Event: NotifySliceRelease (resourceName={0}, totalSlices={1}, sliceNumber={2}, lockTime={3}, releaseTime={4}, previousLockTime={5}). L’opération étend la table avec six colonnes : resourceName, , totalSlicessliceNumber, lockTime, releaseTime, et 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

Extraire l’alias d’e-mail et 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 requête retourne les EmailAddressalias EmailAliaset domaines de messagerie analysés, et WebsiteDomain les colonnes où la fullEmail colonne combine les alias et domaines de messagerie analysés.

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

Dans l’exemple suivant, les expressions régulières sont utilisées pour analyser et extraire des données de la EventText colonne. Les données extraites sont projetées dans de nouveaux champs.

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

Mode d’expression régulière avec indicateurs d’expression régulière

Dans l’exemple resourceName suivant, il est extrait.

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

Si des enregistrements resourceName apparaissent parfois en minuscules et parfois en majuscules, vous pouvez obtenir des valeurs Null pour certaines valeurs.

Les résultats de l’exemple précédent sont inattendus et incluent des données d’événement complètes, car le mode par défaut est gourmand. Pour extraire uniquement resourceName, exécutez la requête précédente avec les indicateurs regex non gourmands Uet désactivez les indicateurs regex respectant i la casse.

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

Si la chaîne analysée contient des nouvelles lignes, utilisez l’indicateur s pour analyser le texte.

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

Dans l’exemple de mode détendu suivant, la colonne totalSlices étendue doit être de type long. Toutefois, dans la chaîne analysée, elle a la valeur nonValidLongValue. Pour la colonne étendue, releaseTimela valeur nonValidDateTime ne peut pas être analysée en tant que datetime. Ces deux colonnes étendues entraînent null des valeurs tandis que les autres colonnes, telles que sliceNumber, entraînent toujours les valeurs correctes.

Si vous utilisez l’option kind = simple pour la requête suivante, vous obtenez null des résultats pour toutes les colonnes étendues. Cette option est stricte sur les colonnes étendues, et est la différence entre le mode approximatif et le mode simple.

Note

En mode approximatif, les colonnes étendues peuvent être mises en correspondance partiellement.

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