GreptimeTeam / greptimedb

An open-source, cloud-native, unified time series database for metrics, logs and events with SQL/PromQL supported. Available on GreptimeCloud.
https://greptime.com/
Apache License 2.0
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feat(log_store): introduce the `IndexCollector` #4461

Closed WenyXu closed 1 month ago

WenyXu commented 1 month ago

I hereby agree to the terms of the GreptimeDB CLA.

Refer to a related PR or issue link (optional)

4385

What's changed and what's your intention?

  1. Separate BackgroundProducerWorker into files
  2. Introduce IndexCollector to collect WAL EntryIds

Checklist

Summary by CodeRabbit

coderabbitai[bot] commented 1 month ago

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Walkthrough

The changes introduce a comprehensive restructuring of the Kafka log storage system, enhancing index management and producer functionality. New traits and structures improve modularity, while error handling has been simplified. The implementation of background workers allows for asynchronous processing of produce requests, ensuring efficient data handling. Overall, these updates aim to bolster performance, maintainability, and clarity within the logging infrastructure.

Changes

Files Change Summary
collector.rs, kafka/index.rs, kafka/index/collector.rs Introduced index management structures and traits, including GlobalIndexCollector and IndexCollector, enhancing modularity and organization.
Cargo.toml Added bytes crate dependency for efficient byte handling.
error.rs, kafka/client_manager.rs Modified error handling for OrderedBatchProducer, replacing existing variants for clarity. Updated ClientManager to integrate a global index collector.
kafka/log_store.rs, kafka/producer.rs, kafka/worker/produce.rs Updated produce method signatures to include region_id, improving context awareness in record handling. Simplified request structures and logic for better efficiency.
kafka/worker.rs, kafka/worker/checkpoint.rs, kafka/worker/flush.rs, kafka/worker/produce.rs Introduced BackgroundProducerWorker for handling asynchronous Kafka requests, with methods for flushing and checkpointing to enhance performance.

Sequence Diagram(s)

sequenceDiagram
    participant ClientManager
    participant BackgroundProducerWorker
    participant GlobalIndexCollector
    participant KafkaProvider

    ClientManager->>BackgroundProducerWorker: Create producer with region_id
    BackgroundProducerWorker->>GlobalIndexCollector: Use global index collector
    BackgroundProducerWorker->>KafkaProvider: Produce records
    KafkaProvider-->>BackgroundProducerWorker: Confirmation
    BackgroundProducerWorker->>GlobalIndexCollector: Update index with produced results

πŸ‡ In the land of logging, hops and jumps,
New indexes collect with joyful thumps!
Producers now dance with regions in sight,
As asynchronous magic makes everything right!
With bytes and structure, we frolic and play,
A logging adventure, hip-hip-hooray! 🌟


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codecov[bot] commented 1 month ago

Codecov Report

Attention: Patch coverage is 76.16099% with 77 lines in your changes missing coverage. Please review.

Project coverage is 84.67%. Comparing base (8037800) to head (aff9770). Report is 23 commits behind head on main.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #4461 +/- ## ========================================== - Coverage 85.01% 84.67% -0.34% ========================================== Files 1084 1090 +6 Lines 193863 194321 +458 ========================================== - Hits 164806 164543 -263 - Misses 29057 29778 +721 ```
WenyXu commented 1 month ago

@coderabbitai summary

coderabbitai[bot] commented 1 month ago
Actions performed Summary regeneration triggered.
WenyXu commented 1 month ago

@fengjiachun @v0y4g3r PTAL