[ https://issues.apache.org/jira/browse/NUTCH-3131 ]


    Lewis John McGibbney deleted comment on NUTCH-3131:
    ---------------------------------------------

was (Author: lewismc):
I plan to add more to this issue but I won't be able to get around to it for a 
little while. 

> Nutch Metrics Refactoring & Enhancements
> ----------------------------------------
>
>                 Key: NUTCH-3131
>                 URL: https://issues.apache.org/jira/browse/NUTCH-3131
>             Project: Nutch
>          Issue Type: Improvement
>          Components: metrics
>            Reporter: Lewis John McGibbney
>            Assignee: Lewis John McGibbney
>            Priority: Major
>             Fix For: 1.24
>
>         Attachments: nutch_metrics_report.pdf
>
>
> The recent “Hadoop Metrics Analysis and Improvement Suggestions” report 
> (attached PDF) identified 88 counter increment operations across 17 files 
> with multiple anti-patterns and missing key observability signals 
> (inconsistent naming, repeated counter lookups, missing latency/error 
> context, cardinality risks, etc.).
> This ticket covers the implementation of all high and medium-priority 
> improvements from the report (Phases 1–3). Phase 4 (external export, 
> dashboard, testing) will be handled in separate tickets.
> Acceptance criteria for consideration
>  * All Hadoop counter group and counter names are defined in a single source 
> of truth (new class NutchMetricConstants or NutchMetrics).
>  * No hardcoded counter group/name strings remain in the 17 affected files.
>  * All frequently used counters (especially in hot paths – Fetcher, 
> FetcherThread, Generator, Parser, Indexer) are cached in instance variables 
> during setup(Context) / setup() and reused.
>  * Latency metrics (fetch, parse, index) are added with proper timing and 
> recorded via Hadoop counters (average + count).
>  * Error counters include error type/context where feasible (at least 
> class-level granularity).
>  * Counter naming is fully standardized (camelCase counters, PascalCase 
> groups).
>  * LatencyTracker and ErrorTracker are the shared metrics utilities. 
> LatencyTracker is used by Fetcher, ParseSegment, and IndexerMapReduce. 
> ErrorTracker is used by the jobs that already construct it (FetcherThread, 
> Generator, Injector, ParseSegment, CrawlDbReducer, CrawlDbFilter, 
> IndexerMapReduce, UpdateHostDbMapper, SitemapProcessor, WARCExporter, 
> CommonCrawlDataDumper). There is no MetricsHelper class. Jobs that still log 
> a per-record failure without an error counter are tracked separately.
>  * 
> FetcherThread.updateStatus publishes pages_fetched_total alongside the 
> existing pages atomic. bytes_downloaded_total continues to be updated from 
> the fetch loop. errors_total continues to be emitted by ErrorTracker when the 
> fetch thread finishes. activeThreads, spinWaiting, and lastRequestStart stay 
> as live atomics, because the fetch loop and the thread controls read them 
> during the run. There is no ThreadSafeMetrics class and no 
> FetcherRun.cleanup().
>  * Resource utilization metrics (queue sizes, depths) are added for Fetcher.
>  * Basic metrics validation is executed at the end of each job (warn on 
> impossible conditions).
>  * No regression in existing counter values (verified via existing 
> integration tests or new sanity job).



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