TransformValue
Parse arbitrary text and structure it using Grok expressions.
The TransformValue task is similar to the famous Logstash Grok filter from the ELK stack.
It is particularly useful for transforming unstructured data such as logs into a structured, indexable, and queryable data structure.
The TransformValue ships with all the default patterns as defined You can find them here: https://github.com/kestra-io/plugin-transform/tree/main/plugin-transform-grok/src/main/resources/patterns.
type: "io.kestra.plugin.transform.grok.TransformValue"Consume, parse, and structure logs events from Kafka topic.
id: grok_transform_value
namespace: company.team
tasks:
- id: transform_value
type: io.kestra.plugin.transform.grok.TransformValue
pattern: "%{TIMESTAMP_ISO8601:logdate} %{LOGLEVEL:loglevel} %{GREEDYDATA:message}"
from: "{{ trigger.value }}"
- id: log_on_warn
type: io.kestra.plugin.core.flow.If
condition: "{{ grok.value['LOGLEVEL'] == 'ERROR' }}"
then:
- id: when_true
type: io.kestra.plugin.core.log.Log
message: "{{ outputs.transform_value.value }}"
triggers:
- id: realtime_trigger
type: io.kestra.plugin.kafka.RealtimeTrigger
topic: test_kestra
properties:
bootstrap.servers: localhost:9092
serdeProperties:
schema.registry.url: http://localhost:8085
keyDeserializer: STRING
valueDeserializer: STRING
groupId: kafkaConsumerGroupId
The value to parse.
The Grok pattern to match.
Custom pattern definitions.
A map of pattern-name and pattern pairs defining custom patterns to be used by the current tasks. Patterns matching existing names will override the pre-existing definition.
The list of Grok patterns to match.
List of user-defined pattern directories.
Directories must be paths relative to the working directory.