Files
seaweedfs/weed/mq
chrislu be247ae497 feat: Add critical broker data retrieval bug detection logging
Phase 4.5: Root Cause Identified - Broker-Side Bug

Added detailed logging to detect when broker returns 0 messages despite HWM indicating data exists:
  - CRITICAL BUG log when broker returns empty but HWM > requestedOffset
  - Logs broker metadata (logStart, nextOffset, endOfPartition)
  - Per-message logging for debugging

Changes:
  - broker_client_fetch.go: Added CRITICAL BUG detection and logging

Test Results:
  - 87.9% delivery (2067/2350) - consistent with previous
  - Confirmed broker bug: Returns 0 messages for offset 1424 when HWM=1428

Root Cause Discovered:
   Gateway fetch logic is CORRECT
   HWM calculation is CORRECT
   Broker's ReadMessagesAtOffset or disk read function FAILING SILENTLY

Evidence:
  Multiple CRITICAL BUG logs show broker can't retrieve data that exists:
    - topic-3[0] offset 1424 (HWM=1428)
    - topic-2[0] offset 968 (HWM=969)

Answer to 'Why does stream stop?':
  1. Broker can't retrieve data from storage for certain offsets
  2. Gateway gets empty responses repeatedly
  3. Sarama gives up thinking no more data
  4. Channel closes cleanly (not a crash)

Next: Investigate broker's ReadMessagesAtOffset and disk read path
2025-10-17 12:07:48 -07:00
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SeaweedMQ Message Queue on SeaweedFS (WIP, not ready)

What are the use cases it is designed for?

Message queues are like water pipes. Messages flow in the pipes to their destinations.

However, what if a flood comes? Of course, you can increase the number of partitions, add more brokers, restart, and watch the traffic level closely.

Sometimes the flood is expected. For example, backfill some old data in batch, and switch to online messages. You may want to ensure enough brokers to handle the data and reduce them later to cut cost.

SeaweedMQ is designed for use cases that need to:

  • Receive and save large number of messages.
  • Handle spike traffic automatically.

What is special about SeaweedMQ?

  • Separate computation and storage nodes to scale independently.
    • Unlimited storage space by adding volume servers.
    • Unlimited message brokers to handle incoming messages.
    • Offline messages can be operated as normal files.
  • Scale up and down with auto split and merge message topics.
    • Topics can automatically split into segments when traffic increases, and vice verse.
  • Pass messages by reference instead of copying.
    • Clients can optionally upload the messages first and just submit the references.
    • Drastically reduce the broker load.
  • Stateless brokers
    • All brokers are equal. One broker is dynamically picked as the leader.
    • Add brokers at any time.
    • Allow rolling restart brokers or remove brokers at a pace.

Design

How it works?

Brokers are just computation nodes without storage. When a broker starts, it reports itself to masters. Among all the brokers, one of them will be selected as the leader by the masters.

A topic needs to define its partition key on its messages.

Messages for a topic are divided into segments. One segment can cover a range of partitions. A segment can be split into 2 segments, or 2 neighboring segments can be merged back to one segment.

During write time, the client will ask the broker leader for a few brokers to process the segment.

The broker leader will check whether the segment already has assigned the brokers. If not, select a few brokers based on their loads, save the selection into filer, and tell the client.

The client will write the messages for this segment to the selected brokers.

Failover

The broker leader does not contain any state. If it fails, the masters will select a different broker.

For a segment, if any one of the selected brokers is down, the remaining brokers should try to write received messages to the filer, and close the segment to the clients.

Then the clients should start a new segment. The masters should assign other healthy brokers to handle the new segment.

So any brokers can go down without losing data.

Auto Split or Merge

(The idea is learned from Pravega.)

The brokers should report its traffic load to the broker leader periodically.

If any segment has too much load, the broker leader will ask the brokers to tell the client to close current one and create two new segments.

If 2 neighboring segments have the combined load below average load per segment, the broker leader will ask the brokers to tell the client to close this 2 segments and create a new segment.