Performs a wildcard pattern search with optional case insensitivity.

The primary purpose is to make it easier to do case insensitive searching across fields and events using a wildcard pattern instead of a regular expression. This is especially useful for users unfamiliar with regular expressions.

ParameterTypeRequiredDefault ValueDescription
fieldarray of stringsoptional[a]  Determines which fields the pattern should search in. When no fields are given, all fields of the original, unmodified event will be searched.
ignoreCasebooleanoptional[a]false Allows for case-insensitive searching.
pattern[b]stringrequired  Wildcard (glob) pattern to search for.

[a] Optional parameters use their default value unless explicitly set.

[b] The argument name pattern can be omitted.

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Depending on the field and ignoreCase arguments, the wildcard() behavior can vary:

  • Whenever ignoreCase is true:

    • the search will be case-insensitive; for example, if the given pattern is *http* then this will match any upper/lower-case combination of HTTP.

    • the search is equivalent to a case-insensitive regex, either on the given fields, or as an unanchored freetext regex that searches the entire, original, unmodified event — see the example below Search Fields Through a Given Pattern - Example 5.

  • Whenever ignoreCase is false, the search is equivalent to a wildcard-search, either on the given fields, or as an unanchored, freetext search on the entire, original, unmodified event.

To sum up:

Table: wildcard() behavior

ignoreCase Parameter field is [] or not specified field is specified as [field1, field2, …, ]

ignoreCase = false

*<pattern>* field1=<pattern> OR field2=<pattern> OR …

ignoreCase = true

/<patternAsRegex>/i field1=/<patternAsRegex>/i OR field2=/<patternAsRegex>/i OR …(as unanchored regexes)

Note

For performance reasons, only set ignoreCase to true if necessary; the case-insensitive search might be up to 2x slower than having this parameter set to false — depending on the search pattern and the data.

The following query:

logscale
wildcard(field=myField, pattern="*foobar*")

can be written as:

logscale
myField =~ wildcard("*foobar*")

This is because pattern is the implicit parameter, and parameters named field can be used with the =~ shorthand syntax in general in the query language.

wildcard(...) can be negated by using not wildcard(...), this finds all events that did not match the given pattern.

wildcard() Examples

Find Fields With Data in Class

Query

Search Repository: humio

logscale
wildcard(field=class,pattern="*Data*")
| groupBy(class)
Introduction

Find all events containing any Data string in their class, and count the occurrences for each class that is found. For example, it can be used to get a list of events that have items such as DataIngestRateMonitor, or LocalDatasource.

Step-by-Step

  1. Starting with the source repository events.

  2. logscale
    wildcard(field=class,pattern="*Data*")

    Searches the incoming data to list all events having Data (and everything around it) in their string.

  3. logscale
    | groupBy(class)

    Takes the events extracted from the search and groups them by the class field.

  4. Event Result set.

Summary and Results

The result is an aggregated count of all events matching anything with Data (with one or more characters before or after), in the class field.

class_count
c.h.c.c.ChatterDataMemoryStatusLoggerJob$283
c.h.d.DataIngestRateMonitor$7504
c.h.d.LocalDatasource$10352
c.h.d.q.EmptyIdleDatasourcesCleaner3
c.h.e.e.Datasource$3947
c.h.e.e.Datasources$4
c.h.e.f.DataSnapshotOps$662
c.h.e.f.DataWithGlobal7254
c.h.j.CleanupDatasourceFilesJob141
c.h.j.DataSyncJobImpl$46594
c.h.j.DatasourceRehashingJob$32
c.h.k.ChatterDataDistributionKafka$107

Find Fields With S3Bucket in Class

Query

Search Repository: humio

logscale
wildcard(field=class, pattern="*S3Bucket*", ignoreCase=true)
| groupBy(class)
Introduction

Find all events containing any S3Bucket item (and all before and after) in their class, and count the occurrences for each class that is found.

Step-by-Step

  1. Starting with the source repository events.

  2. logscale
    wildcard(field=class, pattern="*S3Bucket*", ignoreCase=true)

    Searches the incoming data to list all events having S3Bucket (or everything around it, case-insensitive) in their string.

  3. logscale
    | groupBy(class)

    Takes the events extracted from the search and group them by the class field.

  4. Event Result set.

Summary and Results

The result is an aggregated count of all events matching anything with S3Bucket, case-insensitive, in the class field.

class_count
c.h.b.s.S3BucketStorageCleaningJob197
c.h.b.s.S3BucketStorageFileUpLoader2329
c.h.b.s.S3BucketStorageUploadJob3869

Search Fields Through a Given Pattern - Example 1

Query
logscale
wildcard(field=animal, pattern=horse, ignoreCase=false)
Introduction

Given the following events: 

|--------------|------------------------|
| animal       | horse                  |
| animal       | Horse                  |
| animal       | duck                   |
| animal       | HORSES                 |
| animal       | crazy hOrSe            |
| animal       | hooorse                |
| animal       | dancing with horses    |
|--------------|------------------------|

Finds events where the field animal contains the exact value horse , and makes it case-sensitive.

Step-by-Step

  1. Starting with the source repository events.

  2. logscale
    wildcard(field=animal, pattern=horse, ignoreCase=false)

    Searches elements in the field animal that match horse.

  3. Event Result set.

Summary and Results

The result is a list of events where field animal has the exact value horse.

The query used is equivalent to animal="horse" .

Search Fields Through a Given Pattern - Example 2

Query
logscale
wildcard(field=animal, pattern=horse, ignoreCase=true)
Introduction

Given the following events: 

|--------------|------------------------|
| animal       | horse                  |
| animal       | Horse                  |
| animal       | duck                   |
| animal       | HORSES                 |
| animal       | crazy hOrSe            |
| animal       | hooorse                |
| animal       | dancing with horses    |
|--------------|------------------------|

Finds events where the field animal contains the value horse, and makes it case-insensitive.

Step-by-Step

  1. Starting with the source repository events.

  2. logscale
    wildcard(field=animal, pattern=horse, ignoreCase=true)

    Searches elements in the field animal that match horse, case-insensitive.

  3. Event Result set.

Summary and Results

The result is a list of events where field animal contains any capitalization of horse (HORSE, hOrsE, Horse, etc.).

The query used is equivalent to animal=/\Ahorse\z/i.

Note that it is anchored.

Search Fields Through a Given Pattern - Example 3

Query
logscale
wildcard(field=animal, pattern=*h*rse*, ignoreCase=true)
Introduction

Given the following events: 

|--------------|------------------------|
| animal       | horse                  |
| animal       | Horse                  |
| animal       | duck                   |
| animal       | HORSES                 |
| animal       | crazy hOrSe            |
| animal       | hooorse                |
| animal       | dancing with horses    |
|--------------|------------------------|

Finds events where field animal matches the given pattern, and it's case-insensitive:

Step-by-Step

  1. Starting with the source repository events.

  2. logscale
    wildcard(field=animal, pattern=*h*rse*, ignoreCase=true)

    Searches elements in the field animal that match *h*rse*.

  3. Event Result set.

Summary and Results

The result is a list of the following accepted events:

animal
horse
Horse
HORSES
crazy hOrSe
dancing with horses
hooorse

The query used is equivalent to: animal=/h.*rse/i .

Note that it is unanchored.

Search Fields Through a Given Pattern - Example 4

Query
logscale
wildcard(pattern=horse, ignoreCase=false)
Introduction

Given the following events: 

|--------------|------------------------|
| animal       | horse                  |
| mammal       | Horse                  |                
| mammal       | wild horses            |      
| animal       | human                  |
| mammal       | HORSES                 | 
| animal       | duck                   |
| mammal       | dog                    |
| animal       | dancing with horses    |
|--------------|------------------------|

Find events that contain horse in any field, case-sensitive:

Step-by-Step

  1. Starting with the source repository events.

  2. logscale
    wildcard(pattern=horse, ignoreCase=false)

    Searches the original, unmodified event for the string horse.

  3. Event Result set.

Summary and Results

The result accepts the events with horse, wild horses and dancing with horses. This query is equivalent to the freetext search "horse" .

Search Fields Through a Given Pattern - Example 5

Query
logscale
wildcard(pattern=horse, ignoreCase=true)
Introduction

Given the following events: 

|--------------|------------------------|
| animal       | horse                  |
| animal       | Horse                  |
| animal       | duck                   |
| animal       | HORSES                 |
| animal       | crazy hOrSe            |
| animal       | hooorse                |
| animal       | dancing with horses    |
|--------------|------------------------|

Finds events that contain horse, case-insensitive:

Step-by-Step

  1. Starting with the source repository events.

  2. logscale
    wildcard(pattern=horse, ignoreCase=true)

    Searches the original, unmodified event for the string horse, case-insensitive.

  3. Event Result set.

Summary and Results

The result is a list of the following accepted events:

animal
horse
Horse
HORSES
crazy hOrSe
dancing with horses

This query is equivalent to the freetext regex /horse/i .