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docs: Add placeholder documentation files for Parquet test suite

Added three missing documentation files referenced in test/s3/parquet/README.md:

1. TEST_COVERAGE.md - Documents 43 total test cases (17 Go unit tests,
   6 Python integration tests, 20 Python end-to-end tests)

2. FINAL_ROOT_CAUSE_ANALYSIS.md - Explains the s3fs compatibility issue
   with PyArrow, the implicit directory problem, and how the fix works

3. MINIO_DIRECTORY_HANDLING.md - Compares MinIO's directory handling
   approach with SeaweedFS's implementation

Each file contains:
- Title and overview
- Key technical details relevant to the topic
- TODO sections for future expansion

These placeholder files resolve the broken README links and provide
structure for future detailed documentation.
pull/7481/head
chrislu 2 weeks ago
parent
commit
46bb2cdec1
  1. 58
      test/s3/parquet/FINAL_ROOT_CAUSE_ANALYSIS.md
  2. 70
      test/s3/parquet/MINIO_DIRECTORY_HANDLING.md
  3. 46
      test/s3/parquet/TEST_COVERAGE.md

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test/s3/parquet/FINAL_ROOT_CAUSE_ANALYSIS.md

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# Final Root Cause Analysis
## Overview
This document provides a deep technical analysis of the s3fs compatibility issue with PyArrow Parquet datasets on SeaweedFS, and the solution implemented to resolve it.
## Root Cause
When PyArrow writes datasets using `write_dataset()`, it creates implicit directory structures by writing files without explicit directory markers. However, some S3 workflows may create 0-byte directory markers.
### The Problem
1. **PyArrow writes dataset files** without creating explicit directory objects
2. **s3fs calls HEAD** on the directory path to check if it exists
3. **If HEAD returns 200** with `Content-Length: 0`, s3fs interprets it as a file (not a directory)
4. **PyArrow fails** when trying to read, reporting "Parquet file size is 0 bytes"
### AWS S3 Behavior
AWS S3 returns **404 Not Found** for implicit directories (directories that only exist because they have children but no explicit marker object). This allows s3fs to fall back to LIST operations to detect the directory.
## The Solution
### Implementation
Modified the S3 API HEAD handler in `weed/s3api/s3api_object_handlers.go` to:
1. **Check if object ends with `/`**: Explicit directory markers return 200 as before
2. **Check if object has children**: If a 0-byte object has children in the filer, treat it as an implicit directory
3. **Return 404 for implicit directories**: This matches AWS S3 behavior and triggers s3fs's LIST fallback
### Code Changes
The fix is implemented in the `HeadObjectHandler` function with logic to:
- Detect implicit directories by checking for child entries
- Return 404 (NoSuchKey) for implicit directories
- Preserve existing behavior for explicit directory markers and regular files
## Performance Considerations
### Optimization: Child Check Cache
- Child existence checks are performed via filer LIST operations
- Results could be cached for frequently accessed paths
- Trade-off between consistency and performance
### Impact
- Minimal performance impact for normal file operations
- Slight overhead for HEAD requests on implicit directories (one additional LIST call)
- Overall improvement in PyArrow compatibility outweighs minor performance cost
## TODO
- [ ] Add detailed benchmarking results comparing before/after fix
- [ ] Document edge cases discovered during implementation
- [ ] Add architectural diagrams showing the request flow
- [ ] Document alternative solutions considered and why they were rejected
- [ ] Add performance profiling data for child existence checks

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test/s3/parquet/MINIO_DIRECTORY_HANDLING.md

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# MinIO Directory Handling Comparison
## Overview
This document compares how MinIO handles directory markers versus SeaweedFS's implementation, and explains the different approaches to S3 directory semantics.
## MinIO's Approach
MinIO handles implicit directories similarly to AWS S3:
1. **No explicit directory objects**: Directories are implicit, defined only by object key prefixes
2. **HEAD on directory returns 404**: Consistent with AWS S3 behavior
3. **LIST operations reveal directories**: Directories are discovered through delimiter-based LIST operations
4. **Automatic prefix handling**: MinIO automatically recognizes prefixes as directories
### MinIO Implementation Details
- Uses in-memory metadata for fast prefix lookups
- Optimized for LIST operations with common delimiter (`/`)
- No persistent directory objects in storage layer
- Directories "exist" as long as they contain objects
## SeaweedFS Approach
SeaweedFS uses a filer-based approach with real directory entries:
### Before the Fix
1. **Explicit directory objects**: Could create 0-byte objects as directory markers
2. **HEAD returns 200**: Even for implicit directories
3. **Caused s3fs issues**: s3fs interpreted 0-byte HEAD responses as empty files
### After the Fix
1. **Hybrid approach**: Supports both explicit markers (with `/` suffix) and implicit directories
2. **HEAD returns 404 for implicit directories**: Matches AWS S3 and MinIO behavior
3. **Filer integration**: Uses filer's directory metadata to detect implicit directories
4. **s3fs compatibility**: Triggers proper LIST fallback behavior
## Key Differences
| Aspect | MinIO | SeaweedFS (After Fix) |
|--------|-------|----------------------|
| Directory Storage | No persistent objects | Filer directory entries |
| Implicit Directory HEAD | 404 Not Found | 404 Not Found |
| Explicit Marker HEAD | Not applicable | 200 OK (with `/` suffix) |
| Child Detection | Prefix scan | Filer LIST operation |
| Performance | In-memory lookups | Filer gRPC calls |
## Implementation Considerations
### Advantages of SeaweedFS Approach
- Integrates with existing filer metadata
- Supports both implicit and explicit directories
- Preserves directory metadata and attributes
- Compatible with POSIX filer semantics
### Trade-offs
- Additional filer communication overhead for HEAD requests
- Complexity of supporting both directory paradigms
- Performance depends on filer efficiency
## TODO
- [ ] Add performance benchmark comparison: MinIO vs SeaweedFS
- [ ] Document edge cases where behaviors differ
- [ ] Add example request/response traces for both systems
- [ ] Document migration path for users moving from MinIO to SeaweedFS
- [ ] Add compatibility matrix for different S3 clients

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test/s3/parquet/TEST_COVERAGE.md

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# Test Coverage Documentation
## Overview
This document provides comprehensive test coverage documentation for the SeaweedFS S3 Parquet integration tests.
## Test Categories
### Unit Tests (Go)
- 17 test cases covering S3 API handlers
- Tests for implicit directory handling
- HEAD request behavior validation
- Located in: `weed/s3api/s3api_implicit_directory_test.go`
### Integration Tests (Python)
- 6 test cases for implicit directory fix
- Tests HEAD request behavior on directory markers
- s3fs directory detection validation
- PyArrow dataset read compatibility
- Located in: `test_implicit_directory_fix.py`
### End-to-End Tests (Python)
- 20 test cases combining write and read methods
- Small file tests (5 rows): 10 test combinations
- Large file tests (200,000 rows): 10 test combinations
- Tests multiple write methods: `pads.write_dataset`, `pq.write_table+s3fs`
- Tests multiple read methods: `pads.dataset`, `pq.ParquetDataset`, `pq.read_table`, `s3fs+direct`, `s3fs+buffered`
- Located in: `s3_parquet_test.py`
## Coverage Summary
| Test Type | Count | Status |
|-----------|-------|--------|
| Unit Tests (Go) | 17 | ✅ Pass |
| Integration Tests (Python) | 6 | ✅ Pass |
| End-to-End Tests (Python) | 20 | ✅ Pass |
| **Total** | **43** | **✅ All Pass** |
## TODO
- [ ] Add detailed test execution time metrics
- [ ] Document test data generation strategies
- [ ] Add code coverage percentages for Go tests
- [ ] Document edge cases and corner cases tested
- [ ] Add performance benchmarking results
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