With Dynatrace powered by Grail, you can use Dynatrace Query Language (DQL) functions and logical operators in matchers.
The matcher filters the ingested data and reduces the scope of data processed by the processor that you create. You can use the matcher in OpenPipeline to:
1s
.To learn about the use of logical operators in DQL, see Logical or equality operators.
Filters records containing a specified phrase. Returns only matching records. This function is case insensitive for ASCII characters, it works with multi-value attributes (matching any of the values), and the asterisk character (*
) is a wildcard only referring to a single term, not the whole field value.
The matchesPhrase
function performs case-insensitive contains for the whole query string and doesn't support mid-string wildcards.
For found results, additional validation takes place:
matchesPhrase(expression, phrase)
Parameter
Type
Description
Required
expression
string, array
The expression (string or array of strings) that should be checked.
required
phrase
string
The phrase to search for.
required
In this example, you add a filter that matches log records that contain error
phrase in their content.
matchesPhrase(content, "error")
Part of the input event
Processing query
Match result
Description
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesPhrase(attribute, "192.168.0.1")
Exact match by single term.
attribute="User 'käärmanü' failed to login from 192.168.0.123"
matchesPhrase(attribute, "192.168.0.1")
Non-word character is expected after character 1
.
attribute="User 'käärmanü' failed to login from 192.168.0.123"
matchesPhrase(attribute, "192.168.0.1*")
The query would match all IPs with the last octet between 100
and 199
.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesPhrase(attribute, "failed to login")
Exact phrase match.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesPhrase(attribute, "failed to log")
log
is not a full word, non-word character is expected after log
.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesPhrase(attribute, "failed to log*")
If the query ends with a wildcard character, the validation of the succeeding character is skipped.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesPhrase(attribute, "ed to login")
ed
is not a full word, the preceding character l
is a part of the word.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesPhrase(attribute, "*ed to login")
If the query starts with a wildcard character, the validation of the preceding character is skipped.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesPhrase(attribute, "*ed to log*")
If the query starts and ends with a wildcard character, the validation of the preceding and succeeding characters is skipped.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesPhrase(attribute, "käärmanü failed")
There should be an apostrophe ('
) character between käärmanü
and failed
.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesPhrase(attribute, "rmanü' failed")
Non-ASCII character ä
is treated as non-word character.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesPhrase(attribute, " 'käärmanü' failed")
If the query starts with non-word character, the validation of the preceding character is skipped.
attribute="Failed to assign monitoring configuration for com.dynatrace.extension"
matchesPhrase(attribute, "configuration for")
There is a space in the query and a tabulator in the attribute value.
attribute="Failed to assign monitoring configuration for com.dynatrace.extension"
matchesPhrase(attribute, "failed to")
There is a single space in the query and a double space in the attribute value
attribute="Failed to assign monitoring configuration for com.dynatrace.extension"
matchesPhrase(attribute, "failed to")
It is possible to search with multiple spaces.
attribute=["Gdansk, Poland", "Linz, Austria", "Klagenfurt, Austria"]
matchesPhrase(attribute, "Austria")
The function handles multi-value attributes in "any-match" manner, in this case Austria
is matched in second and third value.
attribute=["Gdansk, Poland", "Linz, Austria", "Klagenfurt, Austria"]
matchesPhrase(attribute, "Pol*")
Wildcard can be used also when dealing with multi-value attributes.
Searches the records for a specific value in a given attribute. Returns only matching records. This function is case insensitive for ASCII characters, it works with multi-value attributes (matching any of the values), and it doesn't support mid-value wildcards.
matchesValue(expression, value)
Parameter
Type
Description
Required
expression
string, array
The expression (string or array of strings) that should be checked.
required
value
string, array
The value to search for using patterns (supports an array of patterns or a list of patterns).
required
In this example, you add a filter record where process.technology
attribute contains nginx
value.
matchesValue(process.technology, "nginx")
Part of the input event
Processing query
Match result
Description
attribute="Dynatrace"
matchesValue(attribute, "dynaTrace")
Case insensitive equality.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesValue(attribute, "192.168.0.1")
The whole attribute value is considered.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesValue(attribute, "*192.168.0.1")
The value ends with 192.168.0.1
.
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesValue(attribute, "user*")
The value starts with user
(case-insensitively).
attribute="User 'käärmanü' failed to login from 192.168.0.1"
matchesValue(attribute, "*failed to log*")
The value contains the string failed to log
.
attribute="Österreich"
matchesValue(attribute, "österreich")
Case insensitive only for ASCII characters.
attribute="Österreich"
matchesValue(attribute, "Österreich")
Exact match.
attribute=["Java", "DOCKER", "k8s"]
matchesValue(attribute, "docker")
The function handles multi-value attributes in "any-match" manner, in this case, docker
is matched in the second value.
attribute=["Java11", "java17"]
matchesValue(attribute, "java")
None of the values is equal to string java.
attribute=["Java11", "java17"]
matchesValue(attribute, "java*")
Both values start with a string java
.
Tests if a value is not NULL.
isNotNull(<value>)
In this example, we filter (select) data where the host.name
field contains a value.
isNotNull(`host.name`)
timestamp
content
event.type
host.name
2022-08-03 11:27:19
2022-08-03 09:27:19.836 [QueueProcessor] RemoteReporter...
LOG
HOST-AF-710319
Part of the input event
Processing query
Match result
Description
{attribute="Dynatrace"}
isNotNull(other)
The other
attribute does not exists
{attribute="Dynatrace"}
isNotNull(attribute)
The attribute
has non-null value.
{attribute=null}
isNotNull(attribute)
The attribute
has null value.
Tests if a value is NULL.
isNull(<value>)
In this example, we filter (select) data where the host.name
field doesn't contain a value.
filter isNull(`host.name`)
timestamp
content
event.type
host.name
2022-08-03 12:53:26
2022-08-03T10:52:31Z localhost haproxy[12529]: 192.168.19.100:38440
LOG
Part of the input event
Processing query
Match result
Description
{attribute="Dynatrace"}
isNull(other)
The other
attribute does not exists.
{attribute="Dynatrace"}
isNull(attribute)
The attribute
has non-null value.
{attribute=null}
isNull(attribute)
The attribute
has null value.
Logical operators can be used to connect two or more expressions. Check out Logical or equality operators to find out more about the behavior of logical operators in DQL.
Logical addition.
<expression_1> or <expression_2>
In this example, you add a matcher to filter records where the content contains either timestamp
phrase or trigger
phrase.
matchesPhrase(content, "timestamp") or matchesPhrase(content, "trigger")
Logical multiplication.
<expression_1> and <expression_2>
In this example, you add a matcher to filter records where the content contains timestamp
phrase and trigger
phrase.
matchesPhrase(content, "timestamp") and matchesPhrase(content, "trigger")
Logical negation.
not <expression>
In this example, you add a matcher to filter records where the content doesn't contain timestamp
phrase.
not matchesPhrase(content, "timestamp")
The matcher supports the following conditions:
true
— the processor (DQL query) will be applied to all recordsfalse
— the processor will not be applied to any of the records in the data setA Boolean value can be expressed using either uppercase or lowercase letters: true
, TRUE
, false
, FALSE
.
Checks an iterative boolean expression and returns true
, if the expression was true at least once, false
if it wasn't. For example:
iAny(a[] > 2)
With DQL matcher in OpenPipeline, you can use the following numerical operators:
<
–Lower, for example http.request.body.size > 1024
>
–Greater, for example 5 > 4
<=
–Lower than or equal, for example 4<=5
>=
–Greater than or equal, for example 4 >=4
==
–Equals, for example 2 == 2
Logical operator (==
) indicating an exact match.
Data types need to be identical. However, if the decimal value is 0
, floating numbers can be compared with integer data. For example, 1==1.0
For strings, the search is case-sensitive.
Contrary to matchesValue
function, strict equality
operator performs case-sensitive comparison, doesn't support wildcards and doesn't operate on elements being part of multi-value attributes.
fieldName == <expression>