kandi X-RAY | logging-java Summary
kandi X-RAY | logging-java Summary
logging-java
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Top functions reviewed by kandi - BETA
- Execute the loop
- Connects to the AMQP message accessor
- Declare this consumer
- Registers the consumer
- Starts the publisher
- Stops the publisher
- Waits for the worker to stop
- Initialize servlet
- Builds the converters
- Serialize an object to a byte array
- Ends the object
- Create a hash code for this message
- The main loop of the event consumer
- Close the bagkore loop
- Deserialize this logging event
- Starts the datastore
- Serialize this object
- Start the appender
- Starts the appender
- Starts the worker thread
- Mutate a logging event
- Starts AMQP application
- Compares this object to another
- Sync the background thread
- Returns a string representation of this object
- Executes the loop
logging-java Key Features
logging-java Examples and Code Snippets
Community Discussions
Trending Discussions on logging-java
QUESTION
I have a Springboot micro-service. For logging I'm using Elastic common scheme, implemented using ecs-logging-java.
I want to set the trace.ID and a transaction.ID but I'm not sure how?
Bonus question, I'm I right in thinking trace.ID should be the ID to following the request through multiple system. transaction.ID is just for within the service?
...ANSWER
Answered 2020-May-22 at 22:23I thought I had documented this but the closest I could come is in Log4j-Audit's RequestContext.. I guess I need to add a new entry to my blog. The short answer to this is that you use Log4j 2's ThreadContextMap. First, when a user logs in create a session map that contains the data you want to capture in each request, such as the user's ip address and loginId. Then create servlet Filter or Spring Interceptor to add that data as well as a unique request id to Log4j 2's Thread Context Map.
All Leg Events will include the data in the ThreadContext. The ECSLayout automatically includes all the fields in the ThreadContextMap.
Lastly, you need to propagate the RequestContext to downstream services. You do that by creating a Spring Interceptor that gets wired into the RestTemplate which converts the RequestContext fields into HTTP headers. The downstream service then has a Filter or Spring Interceptor that converts the headers back into RequestContext attributes. Log4j Audit (referenced above) has examples and implementations of all these components.
I should add that the method described above does not implement tracing as described by the WSC Trace Context spec so it is also not compatible with Elasticsearch's distributed tracing support. It is worth noting however, that if one were to include Elasticsearch's distributed tracing support along with New Relic's distributed tracing support they would step on each other.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install logging-java
You can use logging-java like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the logging-java component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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