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parse-where operator

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Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft Sentinel

Evaluates a string expression, and parses its value into one or more calculated columns. The result is only the successfully parsed strings.

parse-where parses the strings in the same way as parse, and filters out strings that were not parsed successfully.

See parse operator, which produces nulls for unsuccessfully parsed strings.

Syntax

T | parse-where [kind=kind [flags= regexFlags]] expression with * (stringConstant columnName [: columnType]) *...

Learn more about syntax conventions.

Parameters

Name Type Required Description
T string ✔️ The tabular input to parse.
kind string ✔️ One of the supported kind values. The default value is 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 ✔️ An expression that evaluates to a string.
stringConstant string ✔️ A string constant for which to search and parse.
columnName string ✔️ The name of a column to assign a value to, extracted from the string expression.
columnType string The scalar value that indicates the type to convert the value to. The default is the string.

Note

  • Use project if you also want to drop or rename some columns.
  • Use * in the pattern to skip junk values. This value can't be used after string column.
  • The parse pattern may start with ColumnName, in addition to StringConstant.
  • If the parsed expression isn't of type string, it will be converted to type string.

Supported kind values

Text Description
simple This is the default value. stringConstant is a regular string value and the match is strict. All string delimiters should appear in the parsed string, and all extended columns must match the required types.
regex stringConstant may be a regular expression and the match is strict. All string delimiters, which can be a regex for this mode, should appear in the parsed string, and all extended columns must match the required types.

Regex mode

In regex mode, parse will translate the pattern to a regex and use regular expressions in order to do the matching using numbered captured groups that are handled internally. For example:

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

The regex that will be generated by the parse internally is .*?<regex1>(.*?)<regex2>(\-\d+).

  • * was translated to .*?.
  • string was translated to .*?.
  • long was translated to \-\d+.

Returns

The input table, which is extended according to the list of columns that are provided to the operator.

Note

Only successfully parsed strings will be in the output. Strings that don't match the pattern will be filtered out.

Examples

The parse-where operator provides a streamlined way to extend a table by using multiple extract applications on the same string expression. This is most useful when the table has a string column that contains several values that you want to break into individual columns. For example, you can break up a column that was produced by a developer trace ("printf"/"Console.WriteLine") statement.

Using parse

In the example below, the column EventText of table Traces contains strings of the form Event: NotifySliceRelease (resourceName={0}, totalSlices= {1}, sliceNumber={2}, lockTime={3}, releaseTime={4}, previousLockTime={5}). The operation below will extend the table with six columns: resourceName , totalSlices, sliceNumber, lockTime, releaseTime, previousLockTime, Month, and Day.

A few of the strings don't have a full match.

Using parse, the calculated columns will have nulls.

let Traces = datatable(EventText: string)
    [
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=invalid_number, 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=invalid_datetime, 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=invalid_number, 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=" previouLockTime: date ")" *  
| project
    resourceName,
    totalSlices,
    sliceNumber,
    lockTime,
    releaseTime,
    previouLockTime

Output

resourceName totalSlices sliceNumber lockTime releaseTime previousLockTime
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 22 02/17/2016 08:41:01 2016-02-17 08:41:00.0000000 2016-02-17 08:40:01.0000000

Using parse-where

Using 'parse-where' will filter-out unsuccessfully parsed strings from the result.

let Traces = datatable(EventText: string)
    [
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=invalid_number, 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=invalid_datetime, 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=invalid_number, 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-where 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 20 02/17/2016 08:40:01 2016-02-17 08:40:01.0000000 2016-02-17 08:39:01.0000000
PipelineScheduler 27 22 02/17/2016 08:41:01 2016-02-17 08:41:00.0000000 2016-02-17 08:40:01.0000000

Regex mode using regex flags

To get the resourceName and totalSlices, use the following query:

let Traces = datatable(EventText: string)
    [
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=non_valid_integer, sliceNumber=11, 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=non_valid_integer, sliceNumber=44, 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-where kind = regex EventText with * "RESOURCENAME=" resourceName "," * "totalSlices=" totalSlices: long "," *
| project resourceName, totalSlices

Output

resourceName totalSlices

parse-where with case-insensitive regex flag

In the above query, the default mode was case-sensitive, so the strings were parsed successfully. No result was obtained.

To get the required result, run parse-where with a case-insensitive (i) regex flag.

Only three strings will be parsed successfully, so the result is three records (some totalSlices hold invalid integers).

let Traces = datatable(EventText: string)
    [
    "Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=non_valid_integer, sliceNumber=11, 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=non_valid_integer, sliceNumber=44, 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-where kind = regex flags=i EventText with * "RESOURCENAME=" resourceName "," * "totalSlices=" totalSlices: long "," *
| project resourceName, totalSlices

Output

resourceName totalSlices
PipelineScheduler 27
PipelineScheduler 27
PipelineScheduler 27