Greptile Overview

Summary

Optimizes the data retention deletion system by disabling watch events for date-range-specific deletions while keeping them enabled for full stream deletions.

Key Changes:

• Modified delete_stream and process_stream to conditionally set need_watch based on whether date_range is None (full deletion) or Some (partial deletion)
• When deleting all stream data (date_range.is_none()), watch events are still triggered (need_watch = true) to ensure cluster-wide coordination
• When deleting specific date ranges, watch events are now disabled (need_watch = false) to reduce unnecessary event overhead for routine retention operations

Performance Impact:

• Reduces watch event traffic for date-range deletions, which are more frequent routine operations
• Maintains critical watch events for full stream deletions, which require cluster coordination

Identified Issue:

• delete_stream_done function (line 124) still unconditionally uses db::NEED_WATCH for all deletions, creating an inconsistency with the new pattern established in this PR

Confidence Score: 3/5

• This PR is safe to merge with moderate risk due to an inconsistency that should be addressed
• The optimization logic is sound and reduces unnecessary watch events for routine operations. However, there's an inconsistency: delete_stream_done (src/service/db/compact/retention.rs:124) still always uses db::NEED_WATCH regardless of date_range, which contradicts the new pattern. This won't cause failures but creates asymmetry in watch behavior between creation and completion of date-range deletions.
• src/service/db/compact/retention.rs - The delete_stream_done function should apply the same conditional watch logic for consistency

Important Files Changed

File Analysis

Sequence Diagram

sequenceDiagram
    participant Client
    participant RetentionAPI as retention::delete_stream
    participant DB as db::put
    participant Watcher as retention::watch
    participant Cache as CACHE
    
    Note over Client,Cache: Scenario 1: Delete ALL stream data
    Client->>RetentionAPI: delete_stream(date_range=None)
    RetentionAPI->>RetentionAPI: Check CACHE (rate limit)
    RetentionAPI->>Cache: Insert key with timestamp
    RetentionAPI->>DB: put(key, "OK", need_watch=true)
    DB->>Watcher: Trigger watch event (Put)
    Watcher->>Cache: Update CACHE
    
    Note over Client,Cache: Scenario 2: Delete specific date range
    Client->>RetentionAPI: delete_stream(date_range=Some((start, end)))
    RetentionAPI->>RetentionAPI: Check CACHE (rate limit)
    RetentionAPI->>Cache: Insert key with timestamp
    RetentionAPI->>DB: put(key, "OK", need_watch=false)
    Note over DB,Watcher: No watch event triggered (optimization)
    
    Note over Client,Cache: Issue: delete_stream_done inconsistency
    Client->>RetentionAPI: delete_stream_done(date_range=Some(...))
    RetentionAPI->>DB: delete_if_exists(key, need_watch=true)
    DB->>Watcher: Triggers watch even for date ranges
    Note over Watcher: Inconsistent: should not watch for date ranges

_{1 file reviewed, 1 comment}

_{Edit Code Review Agent Settings | Greptile}

a minor nit, but otherwise lgtm