Files
s3/test/kafka/kafka-client-loadtest/single-partition-test.sh
zooqueen dd74d3e6d6 Replace AGPL MinIO fork with Apache-2.0 SeaweedFS fork; rebrand CLI weed->s3
hanzoai/s3 was an AGPL-3.0 MinIO fork whose network-copyleft blocks embedding
and reselling as a managed service. Replace it wholesale with a fork of
SeaweedFS (github.com/seaweedfs/seaweedfs, Apache-2.0, Go) which ships a
built-in S3 gateway + Filer.

- License: AGPL-3.0 -> Apache-2.0 (upstream LICENSE kept verbatim, incl.
  "Copyright 2025 Chris Lu"); NOTICE added crediting SeaweedFS. No AGPL/BUSL/
  SSPL/GPL or enterprise ("ee") files remain.
- Module: go.mod path set to github.com/hanzoai/s3 with a self-replace
  (replace github.com/seaweedfs/seaweedfs => ./) so the ~1800 internal Go files
  keep their upstream import paths with zero churn. Internal identifiers and
  import paths are intentionally NOT renamed.
- CLI rebrand: the binary is built as `s3` (was `weed`); root usage, per-command
  help/usage/flag strings, shell autocomplete program name, and the product name
  in CLI output now read "Hanzo S3" / `s3`. Users never see `weed`.
  (e.g. `s3 server`, `s3 filer`, `s3 master`, `s3 volume`, `s3 s3`, `s3 mount`.)
- Build: `make` (or `go build -o s3 ./weed`) builds the `s3` binary green;
  `cmd/weed-db` and `cmd/weed-sql` also build; `go vet ./weed/command/` clean.
- README/LLM.md rewritten for Hanzo S3; AGENTS.md/CLAUDE.md symlinks preserved.
- Dropped a 33MB prebuilt Mach-O `stress` binary upstream had committed; `.gitignore`
  updated to ignore the `s3` build output.
2026-06-18 23:41:25 -07:00

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#!/bin/bash
# Single partition test - produce and consume from ONE topic, ONE partition
set -e
echo "================================================================"
echo " Single Partition Test - Isolate Missing Messages"
echo " - Topic: single-test-topic (1 partition only)"
echo " - Duration: 2 minutes"
echo " - Producer: 1 (50 msgs/sec)"
echo " - Consumer: 1 (reading from partition 0 only)"
echo "================================================================"
# Clean up
make clean
make start
# Run test with single topic, single partition
TEST_MODE=comprehensive \
TEST_DURATION=2m \
PRODUCER_COUNT=1 \
CONSUMER_COUNT=1 \
MESSAGE_RATE=50 \
MESSAGE_SIZE=512 \
TOPIC_COUNT=1 \
PARTITIONS_PER_TOPIC=1 \
VALUE_TYPE=avro \
docker compose --profile loadtest up --abort-on-container-exit kafka-client-loadtest
echo ""
echo "================================================================"
echo " Single Partition Test Complete!"
echo "================================================================"
echo ""
echo "Analyzing results..."
cd test-results && python3 analyze_missing.py