Add JSON parsing to Log View

[r-oldenburg]

Hey there,

I wanted to share this contribution to this amazing project.
First thing: I am not a native GO programmer. SORRY, if I did break anything or violated any best practices / code conventions or whatever. Feel free to give such feedback.

We just changed the logging in our k8s deployments to JSON in order to make use of structured logging. Reading those in k9s is a pain, so I searched for solutions. And only found plugin solutions that are not giving the same UX as the usual Log View.

The current log UX in k8s is amazing, so I started experimenting with "jq" calls from within k9s. And eventually I found "gojq" which now even allows running without a "jq" installation on the system.

The main idea is to extract 3 fields: datetime, log level, message

Features:

• Configure global expressions to be used in expressions (i.e. coloring by log level, padding, etc.)
• Configure templates (collections of jq expression for time / log-level / message)
• Toggle switch for JSON on/off ("J")
• Iterating through the available templates ("Ctrl+J")
• Editing of templates/their expressions while in Log View ("Shift+J")
  • this even with realtime compiling and instant error messages

Example Templates

... that I can provide (as follows):

• "General" (simply selecting typical fields)
• "Spring" / Logback (typical logback logging of Spring Boot Apps, even inserting arguments into placeholders)
• "Spring + Stacktrace" same as above but with traditional Stacktrace visualization
• "Mongo" Typical fields from Mongo DB logs

k9s:
  logger:
    tail: 7000
    buffer: 50000
    sinceSeconds: -1
    textWrap: false
    showTime: true
    decodeJson: true
    json:
      debug: false
      globalExpressions: |
        def lpad(n;p): . | tostring | if (n > length) then ((n - length) * (p|tostring)) + . else . end;
        def lpad(n): lpad(n;" "); 
        def rpad(n;p): . | tostring | if (n > length) then . + ((n - length) * (p|tostring)) else . end;
        def rpad(n): rpad(n;" ");
        def dateTimeFromTsNs($ts;$nanos): if $ts then ($ts/1000 | strflocaltime("%FT%T.")) + 
          (if $nanos then $nanos | lpad(9;0) else $ts%1000 | lpad(3;0) end) else "" end + "Z";
        def color($content;$logLvl): ({
          "ERROR": "\u001b[31m", 
          "E": "\u001b[31m", 
          "F": "\u001b[31m", 
          "WARN":"\u001b[33m", 
          "W":"\u001b[33m", 
          "INFO":"",
          "I":"",
          "DEBUG":"\u001b[34m", 
          "D1":"\u001b[34m",
          "TRACE":"\u361b[0m"
        }) as $lvlColor | $lvlColor.[$logLvl] + ($content | tostring) + "\u001b[0m";
        def insertSpringArgs(args): if (args | not) then . else reduce args[] as $arg (.; . |= sub("{}"; $arg)) end;
        def formatThrowable: .className + (if .message and .message != "null" then ": " + .message else "" end) + "\n" + 
        (.stepArray | [ .[]? | "    at " + .className + "." + .methodName + "(" + .fileName + ":" + (.lineNumber|tostring) + ")" ] | join("\n")) + 
        if .commonFramesCount then "\n    ... " + (.commonFramesCount | tostring) + " common frames omitted" else "" end;
        def formatThrowableWithCause: formatThrowable + (if .cause then "\nCaused by: " + (.cause | formatThrowableWithCause) else "" end)
      defaultTemplate: Spring
      templates:
        - name: Generic
          loglevel: '.s // .level // ."log.level"'
          datetime: '."@timestamp" // .t."$date" // .timestamp // .timeMillis'
          message: '.message // "\(.msg) \(.attr)"'
        - name: Spring
          loglevel: '.level // ."log.level" | color("[" + . + "]" | lpad(7); .)'
          datetime: '."@timestamp" // dateTimeFromTsNs(.timestamp//.timeMillis; .nanoseconds) // $k8sts'
          message: '. as $j | .message | color(insertSpringArgs($j.arguments); $j.level // $j."log.level")'
        - name: Spring + Stacktraces
          loglevel: '.level // ."log.level" | color("[" + . + "]" | lpad(7); .)'
          datetime: '."@timestamp" // dateTimeFromTsNs(.timestamp//.timeMillis; .nanoseconds)'
          message: '. as $j | .message | color(insertSpringArgs($j.arguments); $j.level // $j."log.level") +
            (if $j.throwable then "\n" + ($j.throwable | formatThrowableWithCause) else "" end)'
        - name: Mongo
          loglevel: '.s | color("[" + . + "]" | lpad(4); .)'
          datetime: '."@timestamp" // .t."$date" // dateTimeFromTsNs(.timestamp//.timeMillis; .nanoseconds)'
          message: '. as $j | "\(.msg) \(.attr)" | color(. ;$j.s // $j.level // $j."log.level")'

Screenshots

Classic log view

JSON decode turned on

Edit/select templates

[derailed]

@r-oldenburg Thank you for this update Roland! I like the concept but it would require a lot of TLC to map out the various logging strategies to pull the required fields. That imho should live outside the main k9s config. Similarly to k9s plugins this would give us a way to quickly create and ingest contributions.
I am not super keen on using a dialog to edit the configs as a full fledge editor would be best suited for this task.
Lastly, the elephant in the room... having additional overhead to process each log line could be a deal killer.
It would be great to understand what is the cost of the overhead to colorize json via benchmarks.
Does this make sense or am I missing it?

[r-oldenburg]

Hey there @derailed,
this is great feedback! Thank you.
And thank you also for at least considering my addition.

Sorry for this post being so long. I hope you find the time to read it... :-D

TL;DR: You are absolutely right. Only the aspect performance may not really an issue. But hey, maybe I am missing something.

Now the long version:
I must admit, I don't know what you mean with "TLC", but I assume it means test driven refactoring or something?

If I get you right, your concerns are

1. too many logging specifics in the main config
2. using a dialog for editing the logging config
3. performance overhead for the processing

Please let me elaborate on them.

First some general thoughts:

• The functionality has been growing while I was trying to parse and read our own application logs
• My addition is not about colorizing json. Instead it is about parsing (and somewhat compacting) json log messages
• Colorizing can be achieved along the way (as I am doing it with bash color codes), but it is not the main goal
• The main idea is to simplify log entries to the most compact and comprehensive text form leaving out irrelevant or "less important" info
• Ever so often there is a line that is not json, then it is simply passed through
• Json logs are most often very long and hard to grasp, even with coloring

Here an example for some log messages from MongoDB:

2024-12-09T07:39:10.887131339Z {"t":{"$date":"2024-12-09T08:39:10.887+01:00"},"s":"I",  "c":"REPL",     "id":5123008, "ctx":"main","msg":"Successfully registered PrimaryOnlyService","attr":{"service":"ShardSplitDonorService","namespace":"config.tenantSplitDonors"}}
2024-12-09T07:41:20.301194135Z {"t":{"$date":"2024-12-09T08:41:20.300+01:00"},"s":"I",  "c":"NETWORK",  "id":51800,   "ctx":"conn180","msg":"client metadata","attr":{"remote":"10.1.19.49:37652","client":"conn180","negotiatedCompressors":[],"doc":{"application":{"name":"mongosh 2.2.6"},"driver":{"name":"nodejs|mongosh","version":"6.6.2|2.2.6"},"platform":"Node.js v20.12.2, LE","os":{"name":"linux","architecture":"arm64","version":"4.14.209-160.339.amzn2.aarch64","type":"Linux"},"env":{"container":{"runtime":"docker","orchestrator":"kubernetes"}}}}}

Now in most cases you don't need all the fields. What you actually need would most likely be this:

2024-12-09T08:39:10.887 INFO Successfully registered PrimaryOnlyService
2024-12-09T08:41:20.299 INFO client metadata <maybe some additional args from json...>

Another example from java/spring:

2024-12-09T07:39:15.296118675Z {"sequenceNumber":0,"timestamp":1733729955242,"nanoseconds":242924133,"level":"INFO","threadName":"main","loggerName":"com.coremedia.springframework.component.ComponentLoader","context":{"name":"default","birthdate":1733729951147,"properties":{}},"mdc": {},"message":"loading bean definitions from root component resource location {} into application context {}","arguments": ["classpath:/META-INF/resources/WEB-INF/applicationContext.xml","org.springframework.boot.web.servlet.context.AnnotationConfigServletWebServerApplicationContext@34f7234e, started on Thu Jan 01 01:00:00 CET 1970"],"throwable":null}
2024-12-09T07:39:24.274689929Z {"sequenceNumber":0,"timestamp":1733729964274,"nanoseconds":274549220,"level":"INFO","threadName":"main","loggerName":"com.coremedia.springframework.component.cae.CaeComponentAutoConfiguration$LegacyCookieProcessorConfiguration","context":{"name":"default","birthdate":1733729951147,"properties":{}},"mdc": {},"message":"Configuring cookie processor of type '{}'.","arguments": ["class org.apache.tomcat.util.http.Rfc6265CookieProcessor"[],"throwable":null}

Here the arguments in the message are even given in a separate list property (arguments). Which makes it even harder to read and distinguish the log messages. Timestamp is just a number, and so on...

You actually would want to see this (leading datetime taken from the timestamp field):

2024-12-09T08:39:15.242924133Z  [INFO] loading bean definitions from root component resource location classpath:/META-INF/resources/WEB-INF/applicationContext.xml into application context org.springframework.boot.web.servlet.context.AnnotationConfigServletWebServerApplicationContext@34f7234e, started on Thu Jan 01 01:00:00 CET 1970
2024-12-09T08:39:24.274549220Z  [INFO] Configuring cookie processor of type 'class org.apache.tomcat.util.http.Rfc6265CookieProcessor'.

The common ground for all logs usually is: Time, Log-Level and the Message
This is the main rationale behind my code: You should be able to define JQ expressions that extract these 3 fields from your specific json logs. The message field of course can be constructed from several json fields. JQ allows nearly everything in this regard.

That way you can achieve to read the log in a regular "logfile style" while still having JSON logging turned on. For our k8s ENVs this turned out to be very(!) helpful.

Now about your (perfectly reasonable) concerns (in reverse order):

• 3: Performance: For starters: No one has to turn it on.
  There is this "decodeJson" config flag that sets the initial state for log view. When you leave it to default/false it is turned off by default and there is (obviously) no impact. So anyone who doesn't need it, would simply leave it off.
  When turned on the parsing itself of course has a performance impact. How could it not. (Still I must say that I could not really see any difference in the behaviour on my Macbook. It just works. I am using buffer: 50000 and tail: 7000 right now). Clearly not everyone will have a fast machine and it may slow things down. True.
  But: If one turns it on, he probably needs the functionality (as do I). And that outweighs any short delay by far as it drastically improves readability. As a shortcut for non-json lines we could introduce a check for a leading "{" or "[" which would denote valid json.
• 2: Dialog: You are right. That may not be the best way. It evolved simply out of the need for me to test and adjust the expressions during runtime. It turned out to be quite annoying to always restart k9s in order to just test a slightly different expression. To be honest in my eyes a "full fledge editor" may be a little over-the-top. Currently you can select one of the templates, adjust them and see the effect on the log in realtime (even with parsing errors when debug = true).
• 1: Too much in main config: You are absolutely right. I guess especially the expressions/templates should be moved to a dedicated config file as they are very specific for the given environments / applications / frameworks.

I would be happy to adjust the code according to your guidance.
Let me know what you think! :-)

[Nahuel92]

I'm glad to find that I'm not the only one struggling with structured logging as well. Hope this can be merged and released soon 🚀