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copilot/re
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copilot/re
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CLUSTERING_RANGE_MIGRATION.md
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CLUSTERING_RANGE_MIGRATION.md
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@@ -0,0 +1,194 @@
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# Clustering Range to Position Range Migration - Summary
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## Problem Statement
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The `clustering_range` type (alias for `interval<clustering_key_prefix>`) has known correctness issues with operations like `intersection()` and `deoverlap()`. These operations can return incorrect results due to the complex semantics of comparing clustering key prefixes with different bound inclusiveness.
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**Related Issues:**
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- #22817 - `interval<clustering_key_prefix>::deoverlap` can return incorrect results
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- #21604 - Problems with clustering range operations
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- #8157 - `interval<clustering_key_prefix_view>::intersection` can return incorrect results
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## Solution Approach
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The `position_range` class represents clustering ranges as a pair of `position_in_partition` objects, avoiding the problematic interval semantics. The migration strategy involves:
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1. **Fix critical bugs immediately** - Use `clustering_interval_set` which internally uses `position_range`
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2. **Add infrastructure** - Feature flags, IDL support, utility functions
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3. **Gradual internal migration** - Replace internal uses of `clustering_range` with `position_range`
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4. **RPC compatibility** - Maintain backward compatibility with feature-gated new verbs
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## What Has Been Done
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### 1. Feature Flag ✅
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Added `gms::feature position_range` to `gms/feature_service.hh` for cluster-wide feature detection.
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### 2. IDL Support ✅
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Added `position_range` to `idl/position_in_partition.idl.hh` for RPC serialization:
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```idl
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class position_range {
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position_in_partition start();
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position_in_partition end();
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};
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```
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### 3. Critical Bug Fixes ✅
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#### Fixed in `cql3/statements/cas_request.cc`:
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```cpp
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// OLD (buggy):
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ranges = query::clustering_range::deoverlap(std::move(ranges), clustering_key::tri_compare(*_schema));
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// NEW (fixed):
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clustering_interval_set interval_set(*_schema, ranges);
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ranges = interval_set.to_clustering_row_ranges();
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```
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#### Fixed in `db/view/view.cc`:
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```cpp
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// OLD (buggy):
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auto deoverlapped_ranges = interval<clustering_key_prefix_view>::deoverlap(std::move(row_ranges), cmp);
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// NEW (fixed):
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clustering_interval_set interval_set(base, temp_ranges);
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return interval_set.to_clustering_row_ranges();
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```
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### 4. Utility Functions ✅
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Created `query/position_range_utils.hh` with safe range operation helpers:
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- `clustering_row_ranges_to_position_ranges()` - Batch conversion
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- `position_ranges_to_clustering_row_ranges()` - Batch conversion back
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- `deoverlap_clustering_row_ranges()` - Safe deoverlap using clustering_interval_set
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- `intersect_clustering_row_ranges()` - Safe intersection using clustering_interval_set
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### 5. Tests ✅
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Added comprehensive unit tests in `test/boost/position_range_utils_test.cc`:
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- Test deoverlap with overlapping and non-overlapping ranges
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- Test conversion between clustering_range and position_range
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- Test intersection operations
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- Validate correctness of utility functions
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### 6. Documentation ✅
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- **Migration guide**: `docs/dev/clustering-range-to-position-range-migration.md`
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- Overview of the problem and solution
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- Conversion utilities and patterns
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- Implementation checklist
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- **RPC migration plan**: `docs/dev/position-range-rpc-migration.md`
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- Detailed plan for backward-compatible RPC migration
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- IDL type definitions for v2 types
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- Feature-gated verb selection logic
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- Phased rollout strategy
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## What Remains To Be Done
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### Phase 1: RPC Migration (High Priority)
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1. Define `partition_slice_v2` with `std::vector<position_range>`
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2. Define `read_command_v2` using `partition_slice_v2`
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3. Add new RPC verbs: `read_data_v2`, `read_mutation_data_v2`, `read_digest_v2`
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4. Implement conversion between v1 and v2 types
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5. Add feature-gated verb selection in RPC clients
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6. Test backward compatibility
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### Phase 2: Internal Refactoring (Ongoing)
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1. Identify internal data structures using `clustering_range`
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2. Refactor to use `position_range` where appropriate
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3. Update mutation readers and iterators
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4. Modify query processing logic
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5. Update cache structures
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### Phase 3: Validation (Continuous)
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1. Build and run existing tests
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2. Add more tests for edge cases
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3. Performance benchmarking
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4. Rolling upgrade testing
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## Files Changed
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### Core Changes
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- `gms/feature_service.hh` - Added position_range feature flag
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- `idl/position_in_partition.idl.hh` - Added position_range IDL definition
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- `cql3/statements/cas_request.cc` - Fixed deoverlap bug
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- `db/view/view.cc` - Fixed deoverlap bug, enhanced documentation
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### New Files
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- `query/position_range_utils.hh` - Utility functions for safe range operations
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- `test/boost/position_range_utils_test.cc` - Unit tests for utilities
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### Documentation
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- `docs/dev/clustering-range-to-position-range-migration.md` - Migration guide
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- `docs/dev/position-range-rpc-migration.md` - RPC migration plan
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- `CLUSTERING_RANGE_MIGRATION.md` - This summary document
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## Impact and Benefits
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### Immediate Benefits ✅
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- **Fixed critical bugs**: Two production code bugs in `cas_request.cc` and `view.cc` that could cause incorrect query results
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- **Safe operations**: Developers can now use utility functions that guarantee correct deoverlap and intersection
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- **Future-proof**: Infrastructure is in place for gradual migration
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### Future Benefits 🔄
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- **Correctness**: All clustering range operations will be correct by construction
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- **Maintainability**: Clearer code using position_range instead of complex interval semantics
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- **Performance**: Potential optimizations from simpler position-based comparisons
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## Testing Strategy
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### Unit Tests ✅
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- `test/boost/position_range_utils_test.cc` validates utility functions
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- Existing tests in `test/boost/mutation_test.cc` use clustering_interval_set
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- Tests in `test/boost/mvcc_test.cc` validate clustering_interval_set behavior
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### Integration Testing (To Do)
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- Test RPC backward compatibility during rolling upgrades
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- Test mixed-version clusters
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- Validate query correctness with position_range
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### Performance Testing (To Do)
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- Benchmark conversion overhead
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- Compare memory usage
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- Measure query latency impact
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## Migration Timeline
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||||
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||||
- **Week 1-2**: ✅ Foundation and critical bug fixes (COMPLETED)
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||||
- Feature flag
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- IDL support
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||||
- Bug fixes in cas_request.cc and view.cc
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||||
- Utility functions and tests
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- Documentation
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- **Week 3-4**: 🔄 RPC migration (IN PROGRESS)
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- Define v2 IDL types
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- Implement new RPC verbs
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||||
- Add feature-gated selection
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- **Week 5-8**: 🔄 Internal refactoring (PLANNED)
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||||
- Systematic replacement in internal code
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- Update readers and iterators
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||||
- Performance validation
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||||
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||||
- **Week 9+**: 🔄 Validation and rollout (PLANNED)
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- Comprehensive testing
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||||
- Rolling upgrade validation
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||||
- Production deployment
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## Key Takeaways
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||||
1. **clustering_interval_set is your friend**: When working with clustering ranges, use clustering_interval_set for set operations instead of raw interval operations.
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||||
2. **Use utility functions**: The helpers in `query/position_range_utils.hh` provide safe alternatives to buggy operations.
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3. **RPC requires care**: Backward compatibility is critical. Always use feature flags for RPC changes.
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||||
4. **Incremental approach**: This is a large refactoring. Do it incrementally, with tests at each step.
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5. **Document as you go**: Good documentation (like this) helps future developers understand the context and rationale.
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## References
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||||
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||||
- `mutation/position_in_partition.hh` - position_range definition
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||||
- `keys/clustering_interval_set.hh` - Safe clustering range operations
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||||
- `query/query-request.hh` - clustering_range definition and warnings
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||||
- Issues: #22817, #21604, #8157
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||||
- Feature service: `gms/feature_service.hh`
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||||
@@ -1,109 +0,0 @@
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||||
# Analysis of unimplemented::cause Enum Values
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||||
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||||
This document provides an analysis of the `unimplemented::cause` enum values after cleanup.
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||||
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||||
## Removed Unused Enum Values (20 values removed)
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||||
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The following enum values had **zero usages** in the codebase and have been removed:
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- `LWT` - Lightweight transactions
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- `PAGING` - Query result paging
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- `AUTH` - Authentication
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- `PERMISSIONS` - Permission checking
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- `COUNTERS` - Counter columns
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- `MIGRATIONS` - Schema migrations
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- `GOSSIP` - Gossip protocol
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- `TOKEN_RESTRICTION` - Token-based restrictions
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- `LEGACY_COMPOSITE_KEYS` - Legacy composite key handling
|
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- `COLLECTION_RANGE_TOMBSTONES` - Collection range tombstones
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- `RANGE_DELETES` - Range deletion operations
|
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- `COMPRESSION` - Compression features
|
||||
- `NONATOMIC` - Non-atomic operations
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- `CONSISTENCY` - Consistency level handling
|
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- `WRAP_AROUND` - Token wrap-around handling
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- `STORAGE_SERVICE` - Storage service operations
|
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- `SCHEMA_CHANGE` - Schema change operations
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||||
- `MIXED_CF` - Mixed column family operations
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- `SSTABLE_FORMAT_M` - SSTable format M
|
||||
|
||||
## Remaining Enum Values (8 values kept)
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|
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### 1. `API` (4 usages)
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**Impact**: REST API features that are not fully implemented.
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||||
|
||||
**Usages**:
|
||||
- `api/column_family.cc:1052` - Fails when `split_output` parameter is used in major compaction
|
||||
- `api/compaction_manager.cc:100,146,216` - Warns when force_user_defined_compaction or related operations are called
|
||||
|
||||
**User Impact**: Some REST API endpoints for compaction management are stubs and will warn or fail.
|
||||
|
||||
### 2. `INDEXES` (6 usages)
|
||||
**Impact**: Secondary index features not fully supported.
|
||||
|
||||
**Usages**:
|
||||
- `api/column_family.cc:433,440,449,456` - Warns about index-related operations
|
||||
- `cql3/restrictions/statement_restrictions.cc:1158` - Fails when attempting filtering on collection columns without proper indexing
|
||||
- `cql3/statements/update_statement.cc:149` - Warns about index operations
|
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|
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**User Impact**: Some advanced secondary index features (especially filtering on collections) are not available.
|
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|
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### 3. `TRIGGERS` (2 usages)
|
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**Impact**: Trigger support is not implemented.
|
||||
|
||||
**Usages**:
|
||||
- `db/schema_tables.cc:2017` - Warns when loading trigger metadata from schema tables
|
||||
- `service/storage_proxy.cc:4166` - Warns when processing trigger-related operations
|
||||
|
||||
**User Impact**: Cassandra triggers (stored procedures that execute on data changes) are not supported.
|
||||
|
||||
### 4. `METRICS` (1 usage)
|
||||
**Impact**: Some query processor metrics are not collected.
|
||||
|
||||
**Usages**:
|
||||
- `cql3/query_processor.cc:585` - Warns about missing metrics implementation
|
||||
|
||||
**User Impact**: Minor - some internal metrics may not be available.
|
||||
|
||||
### 5. `VALIDATION` (4 usages)
|
||||
**Impact**: Schema validation checks are partially implemented.
|
||||
|
||||
**Usages**:
|
||||
- `cql3/functions/token_fct.hh:38` - Warns about validation in token functions
|
||||
- `cql3/statements/drop_keyspace_statement.cc:40` - Warns when dropping keyspace
|
||||
- `cql3/statements/truncate_statement.cc:87` - Warns when truncating table
|
||||
- `service/migration_manager.cc:750` - Warns during schema migrations
|
||||
|
||||
**User Impact**: Some schema validation checks are skipped (with warnings logged).
|
||||
|
||||
### 6. `REVERSED` (1 usage)
|
||||
**Impact**: Reversed type support in CQL protocol.
|
||||
|
||||
**Usages**:
|
||||
- `transport/server.cc:2085` - Fails when trying to use reversed types in CQL protocol
|
||||
|
||||
**User Impact**: Reversed types are not supported in the CQL protocol implementation.
|
||||
|
||||
### 7. `HINT` (1 usage)
|
||||
**Impact**: Hint replaying is not implemented.
|
||||
|
||||
**Usages**:
|
||||
- `db/batchlog_manager.cc:251` - Warns when attempting to replay hints
|
||||
|
||||
**User Impact**: Cassandra hints (temporary storage of writes when nodes are down) are not supported.
|
||||
|
||||
### 8. `SUPER` (2 usages)
|
||||
**Impact**: Super column families are not supported.
|
||||
|
||||
**Usages**:
|
||||
- `db/legacy_schema_migrator.cc:157` - Fails when encountering super column family in legacy schema
|
||||
- `db/schema_tables.cc:2288` - Fails when encountering super column family in schema tables
|
||||
|
||||
**User Impact**: Super column families (legacy Cassandra feature) will cause errors if encountered in legacy data or schema migrations.
|
||||
|
||||
## Summary
|
||||
|
||||
- **Removed**: 20 unused enum values (76% reduction)
|
||||
- **Kept**: 8 actively used enum values (24% remaining)
|
||||
- **Total lines removed**: ~40 lines from enum definition and switch statement
|
||||
|
||||
The remaining enum values represent actual unimplemented features that users may encounter, with varying impacts ranging from warnings (TRIGGERS, METRICS, VALIDATION, HINT) to failures (API split_output, INDEXES on collections, REVERSED types, SUPER tables).
|
||||
@@ -186,6 +186,10 @@ void alter_table_statement::add_column(const query_options&, const schema& schem
|
||||
if (!schema.is_compound()) {
|
||||
throw exceptions::invalid_request_exception("Cannot use non-frozen collections with a non-composite PRIMARY KEY");
|
||||
}
|
||||
if (schema.is_super()) {
|
||||
throw exceptions::invalid_request_exception("Cannot use non-frozen collections with super column families");
|
||||
}
|
||||
|
||||
|
||||
// If there used to be a non-frozen collection column with the same name (that has been dropped),
|
||||
// we could still have some data using the old type, and so we can't allow adding a collection
|
||||
|
||||
@@ -19,6 +19,7 @@
|
||||
#include "types/map.hh"
|
||||
#include "service/storage_proxy.hh"
|
||||
#include "cql3/query_processor.hh"
|
||||
#include "keys/clustering_interval_set.hh"
|
||||
|
||||
namespace cql3::statements {
|
||||
|
||||
@@ -87,8 +88,9 @@ lw_shared_ptr<query::read_command> cas_request::read_command(query_processor& qp
|
||||
ranges.emplace_back(query::clustering_range::make_open_ended_both_sides());
|
||||
max_rows = 1;
|
||||
} else {
|
||||
// WARNING: clustering_range::deoverlap can return incorrect results - refer to scylladb#22817 and scylladb#21604
|
||||
ranges = query::clustering_range::deoverlap(std::move(ranges), clustering_key::tri_compare(*_schema));
|
||||
// Use clustering_interval_set to correctly deoverlap ranges (fixes scylladb#22817 and scylladb#21604)
|
||||
clustering_interval_set interval_set(*_schema, ranges);
|
||||
ranges = interval_set.to_clustering_row_ranges();
|
||||
}
|
||||
auto options = update_parameters::options;
|
||||
options.set(query::partition_slice::option::always_return_static_content);
|
||||
|
||||
@@ -152,8 +152,8 @@ public:
|
||||
|
||||
builder.with_version(sm.digest());
|
||||
|
||||
auto type_str = td.get_or("type", sstring("standard"));
|
||||
if (type_str == "Super") {
|
||||
cf_type cf = sstring_to_cf_type(td.get_or("type", sstring("standard")));
|
||||
if (cf == cf_type::super) {
|
||||
fail(unimplemented::cause::SUPER);
|
||||
}
|
||||
|
||||
@@ -284,8 +284,13 @@ public:
|
||||
if (kind_str == "compact_value") {
|
||||
continue;
|
||||
}
|
||||
if (kind == column_kind::clustering_key && !is_compound) {
|
||||
continue;
|
||||
if (kind == column_kind::clustering_key) {
|
||||
if (cf == cf_type::super && component_index != 0) {
|
||||
continue;
|
||||
}
|
||||
if (cf != cf_type::super && !is_compound) {
|
||||
continue;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -143,7 +143,7 @@ static computed_columns_map get_computed_columns(const schema_mutations& sm);
|
||||
|
||||
static std::vector<column_definition> create_columns_from_column_rows(
|
||||
const query::result_set& rows, const sstring& keyspace,
|
||||
const sstring& table, column_view_virtual is_view_virtual, const computed_columns_map& computed_columns,
|
||||
const sstring& table, bool is_super, column_view_virtual is_view_virtual, const computed_columns_map& computed_columns,
|
||||
const data_dictionary::user_types_storage& user_types);
|
||||
|
||||
|
||||
@@ -1804,6 +1804,9 @@ static schema_mutations make_table_mutations(schema_ptr table, api::timestamp_ty
|
||||
auto scylla_tables_mutation = make_scylla_tables_mutation(table, timestamp);
|
||||
|
||||
list_type_impl::native_type flags;
|
||||
if (table->is_super()) {
|
||||
flags.emplace_back("super");
|
||||
}
|
||||
if (table->is_dense()) {
|
||||
flags.emplace_back("dense");
|
||||
}
|
||||
@@ -2277,6 +2280,7 @@ schema_ptr create_table_from_mutations(const schema_ctxt& ctxt, schema_mutations
|
||||
auto id = table_id(table_row.get_nonnull<utils::UUID>("id"));
|
||||
schema_builder builder{ks_name, cf_name, id};
|
||||
|
||||
auto cf = cf_type::standard;
|
||||
auto is_dense = false;
|
||||
auto is_counter = false;
|
||||
auto is_compound = false;
|
||||
@@ -2285,6 +2289,7 @@ schema_ptr create_table_from_mutations(const schema_ctxt& ctxt, schema_mutations
|
||||
if (flags) {
|
||||
for (auto& s : *flags) {
|
||||
if (s == "super") {
|
||||
// cf = cf_type::super;
|
||||
fail(unimplemented::cause::SUPER);
|
||||
} else if (s == "dense") {
|
||||
is_dense = true;
|
||||
@@ -2300,7 +2305,9 @@ schema_ptr create_table_from_mutations(const schema_ctxt& ctxt, schema_mutations
|
||||
std::vector<column_definition> column_defs = create_columns_from_column_rows(
|
||||
query::result_set(sm.columns_mutation()),
|
||||
ks_name,
|
||||
cf_name,
|
||||
cf_name,/*,
|
||||
fullRawComparator, */
|
||||
cf == cf_type::super,
|
||||
column_view_virtual::no,
|
||||
computed_columns,
|
||||
user_types);
|
||||
@@ -2479,7 +2486,9 @@ static computed_columns_map get_computed_columns(const schema_mutations& sm) {
|
||||
static std::vector<column_definition> create_columns_from_column_rows(
|
||||
const query::result_set& rows,
|
||||
const sstring& keyspace,
|
||||
const sstring& table,
|
||||
const sstring& table, /*,
|
||||
AbstractType<?> rawComparator, */
|
||||
bool is_super,
|
||||
column_view_virtual is_view_virtual,
|
||||
const computed_columns_map& computed_columns,
|
||||
const data_dictionary::user_types_storage& user_types)
|
||||
@@ -2556,12 +2565,12 @@ static schema_builder prepare_view_schema_builder_from_mutations(const schema_ct
|
||||
}
|
||||
|
||||
auto computed_columns = get_computed_columns(sm);
|
||||
auto column_defs = create_columns_from_column_rows(query::result_set(sm.columns_mutation()), ks_name, cf_name, column_view_virtual::no, computed_columns, user_types);
|
||||
auto column_defs = create_columns_from_column_rows(query::result_set(sm.columns_mutation()), ks_name, cf_name, false, column_view_virtual::no, computed_columns, user_types);
|
||||
for (auto&& cdef : column_defs) {
|
||||
builder.with_column_ordered(cdef);
|
||||
}
|
||||
if (sm.view_virtual_columns_mutation()) {
|
||||
column_defs = create_columns_from_column_rows(query::result_set(*sm.view_virtual_columns_mutation()), ks_name, cf_name, column_view_virtual::yes, computed_columns, user_types);
|
||||
column_defs = create_columns_from_column_rows(query::result_set(*sm.view_virtual_columns_mutation()), ks_name, cf_name, false, column_view_virtual::yes, computed_columns, user_types);
|
||||
for (auto&& cdef : column_defs) {
|
||||
builder.with_column_ordered(cdef);
|
||||
}
|
||||
|
||||
@@ -78,6 +78,7 @@
|
||||
#include "readers/multishard.hh"
|
||||
#include "readers/filtering.hh"
|
||||
#include "delete_ghost_rows_visitor.hh"
|
||||
#include "keys/clustering_interval_set.hh"
|
||||
#include "locator/host_id.hh"
|
||||
#include "cartesian_product.hh"
|
||||
#include "idl/view.dist.hh"
|
||||
@@ -1658,7 +1659,10 @@ future<query::clustering_row_ranges> calculate_affected_clustering_ranges(data_d
|
||||
const dht::decorated_key& key,
|
||||
const mutation_partition& mp,
|
||||
const std::vector<view_ptr>& views) {
|
||||
// WARNING: interval<clustering_key_prefix_view> is unsafe - refer to scylladb#22817 and scylladb#21604
|
||||
// FIXME: This function should be refactored to use position_range and clustering_interval_set
|
||||
// instead of interval<clustering_key_prefix_view> to avoid issues with intersection and deoverlap.
|
||||
// See scylladb#22817, scylladb#21604, and scylladb#8157 for details.
|
||||
// The current implementation uses unsafe operations that can return incorrect results.
|
||||
utils::chunked_vector<interval<clustering_key_prefix_view>> row_ranges;
|
||||
utils::chunked_vector<interval<clustering_key_prefix_view>> view_row_ranges;
|
||||
clustering_key_prefix_view::tri_compare cmp(base);
|
||||
@@ -1684,7 +1688,10 @@ future<query::clustering_row_ranges> calculate_affected_clustering_ranges(data_d
|
||||
bound_view::to_interval_bound<interval>(rt.start_bound()),
|
||||
bound_view::to_interval_bound<interval>(rt.end_bound()));
|
||||
for (auto&& vr : view_row_ranges) {
|
||||
// WARNING: interval<clustering_key_prefix_view>::intersection can return incorrect results - refer to scylladb#8157 and scylladb#21604
|
||||
// FIXME: interval<clustering_key_prefix_view>::intersection can return incorrect results
|
||||
// (scylladb#8157, scylladb#21604). This should be refactored to use position_range.
|
||||
// Proper fix: Convert to position_range, check overlap using position_range::overlaps(),
|
||||
// compute intersection manually with position_in_partition comparisons.
|
||||
auto overlap = rtr.intersection(vr, cmp);
|
||||
if (overlap) {
|
||||
row_ranges.push_back(std::move(overlap).value());
|
||||
@@ -1708,15 +1715,18 @@ future<query::clustering_row_ranges> calculate_affected_clustering_ranges(data_d
|
||||
// content, in case the view includes a column that is not included in
|
||||
// this mutation.
|
||||
|
||||
query::clustering_row_ranges result_ranges;
|
||||
// FIXME: scylladb#22817 - interval<clustering_key_prefix_view>::deoverlap can return incorrect results
|
||||
auto deoverlapped_ranges = interval<clustering_key_prefix_view>::deoverlap(std::move(row_ranges), cmp);
|
||||
result_ranges.reserve(deoverlapped_ranges.size());
|
||||
for (auto&& r : deoverlapped_ranges) {
|
||||
result_ranges.emplace_back(std::move(r).transform([] (auto&& ckv) { return clustering_key_prefix(ckv); }));
|
||||
co_await coroutine::maybe_yield();
|
||||
// FIXME: interval<clustering_key_prefix_view>::deoverlap can return incorrect results (scylladb#22817)
|
||||
// Proper fix: Convert row_ranges to clustering_row_ranges, then use clustering_interval_set
|
||||
// which handles deoverlapping correctly via position_range internally.
|
||||
query::clustering_row_ranges temp_ranges;
|
||||
temp_ranges.reserve(row_ranges.size());
|
||||
for (auto&& r : row_ranges) {
|
||||
temp_ranges.emplace_back(std::move(r).transform([] (auto&& ckv) { return clustering_key_prefix(ckv); }));
|
||||
}
|
||||
co_return result_ranges;
|
||||
|
||||
// Use clustering_interval_set for correct deoverlapping (fixes scylladb#22817)
|
||||
clustering_interval_set interval_set(base, temp_ranges);
|
||||
co_return interval_set.to_clustering_row_ranges();
|
||||
}
|
||||
|
||||
bool needs_static_row(const mutation_partition& mp, const std::vector<view_ptr>& views) {
|
||||
|
||||
156
docs/dev/clustering-range-to-position-range-migration.md
Normal file
156
docs/dev/clustering-range-to-position-range-migration.md
Normal file
@@ -0,0 +1,156 @@
|
||||
# Clustering Range to Position Range Migration
|
||||
|
||||
## Background
|
||||
|
||||
The `clustering_range` type (alias for `interval<clustering_key_prefix>`) has known issues with operations like `intersection()` and `deoverlap()` that can return incorrect results due to the complexity of comparing clustering key prefixes with different inclusiveness on bounds.
|
||||
|
||||
See issues:
|
||||
- #22817 - `interval<clustering_key_prefix>::deoverlap` can return incorrect results
|
||||
- #21604 - Problems with clustering range operations
|
||||
- #8157 - `interval<clustering_key_prefix_view>::intersection` can return incorrect results
|
||||
|
||||
The `position_range` class was introduced as a safer alternative that represents clustering ranges as a pair of `position_in_partition` objects, avoiding the problematic interval semantics.
|
||||
|
||||
## Migration Strategy
|
||||
|
||||
### 1. Feature Flag
|
||||
|
||||
A new `gms::feature` called `"POSITION_RANGE"` has been added to `gms/feature_service.hh`. This feature gates the use of position_range in RPC interfaces to ensure backward compatibility during rolling upgrades.
|
||||
|
||||
### 2. IDL Support
|
||||
|
||||
The `position_range` class has been added to `idl/position_in_partition.idl.hh` to support serialization in RPC verbs.
|
||||
|
||||
### 3. Internal Code Migration
|
||||
|
||||
Internal code should be migrated to use `position_range` instead of `clustering_range` wherever possible. This migration should be done incrementally:
|
||||
|
||||
#### Priority Areas
|
||||
|
||||
1. **Functions with known problematic operations**:
|
||||
- Any code using `clustering_range::intersection()`
|
||||
- Any code using `clustering_range::deoverlap()`
|
||||
- See marked locations in:
|
||||
- `db/view/view.cc` (lines 1687-1713)
|
||||
- `cql3/statements/cas_request.cc` (line 90-91)
|
||||
|
||||
2. **Internal data structures**:
|
||||
- Readers and iterators that track position ranges
|
||||
- Cache structures
|
||||
- Query processing internals
|
||||
|
||||
3. **Utility functions**:
|
||||
- Helper functions that operate on ranges
|
||||
- Range manipulation and transformation functions
|
||||
|
||||
#### Conversion Utilities
|
||||
|
||||
Existing converters:
|
||||
- `position_range::from_range(const query::clustering_range&)` - Convert clustering_range to position_range
|
||||
- `position_range_to_clustering_range(const position_range&, const schema&)` - Convert position_range to clustering_range (returns optional)
|
||||
|
||||
The `clustering_interval_set` class already demonstrates best practices - it uses `position_range` internally and provides conversion methods to/from `clustering_row_ranges`.
|
||||
|
||||
Helper utilities in `query/position_range_utils.hh`:
|
||||
- `clustering_row_ranges_to_position_ranges()` - Batch convert clustering ranges to position ranges
|
||||
- `position_ranges_to_clustering_row_ranges()` - Batch convert position ranges to clustering ranges
|
||||
- `deoverlap_clustering_row_ranges()` - Safely deoverlap ranges using clustering_interval_set
|
||||
- `intersect_clustering_row_ranges()` - Safely intersect ranges using clustering_interval_set
|
||||
|
||||
#### Migration Pattern
|
||||
|
||||
```cpp
|
||||
// OLD CODE (problematic):
|
||||
void process_ranges(const query::clustering_row_ranges& ranges) {
|
||||
auto deoverlapped = query::clustering_range::deoverlap(ranges, cmp);
|
||||
// ... use deoverlapped ranges
|
||||
}
|
||||
|
||||
// NEW CODE (using position_range):
|
||||
void process_ranges(const schema& s, const query::clustering_row_ranges& ranges) {
|
||||
clustering_interval_set interval_set(s, ranges);
|
||||
// interval_set handles deoverlapping correctly internally
|
||||
for (const position_range& r : interval_set) {
|
||||
// ... use position ranges
|
||||
}
|
||||
// Convert back if needed for compatibility
|
||||
auto result_ranges = interval_set.to_clustering_row_ranges();
|
||||
}
|
||||
```
|
||||
|
||||
### 4. RPC Interface Migration
|
||||
|
||||
RPC interfaces must maintain backward compatibility. The strategy is:
|
||||
|
||||
1. Keep existing RPC verbs that use `clustering_range` (in IDL: `std::vector<interval<clustering_key_prefix>>`)
|
||||
2. Add new RPC verbs that use `position_range`
|
||||
3. Use the new verbs when `feature_service.position_range` is enabled
|
||||
|
||||
#### Example RPC Migration
|
||||
|
||||
In `idl/storage_proxy.idl.hh`:
|
||||
|
||||
```cpp
|
||||
// Existing verb (keep for compatibility)
|
||||
verb [[with_client_info, with_timeout]] read_data (
|
||||
query::read_command cmd [[ref]],
|
||||
::compat::wrapping_partition_range pr,
|
||||
...
|
||||
) -> query::result [[lw_shared_ptr]], ...;
|
||||
|
||||
// New verb using position_range (to be added)
|
||||
verb [[with_client_info, with_timeout]] read_data_v2 (
|
||||
query::read_command_v2 cmd [[ref]],
|
||||
::compat::wrapping_partition_range pr,
|
||||
...
|
||||
) -> query::result [[lw_shared_ptr]], ...;
|
||||
```
|
||||
|
||||
Where `read_command_v2` would use a `partition_slice_v2` that contains position ranges instead of clustering ranges.
|
||||
|
||||
#### Feature-Gated RPC Selection
|
||||
|
||||
```cpp
|
||||
future<query::result> storage_proxy::query_data(...) {
|
||||
if (_features.position_range) {
|
||||
return rpc_verb_read_data_v2(...);
|
||||
} else {
|
||||
return rpc_verb_read_data(...);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 5. Testing
|
||||
|
||||
Tests should verify:
|
||||
1. Correct conversion between clustering_range and position_range
|
||||
2. Correct behavior of position_range operations
|
||||
3. RPC compatibility with both old and new verbs
|
||||
4. Feature flag behavior during rolling upgrades
|
||||
|
||||
### 6. Known Limitations
|
||||
|
||||
- Not all clustering_range uses can be eliminated - some external interfaces may require them
|
||||
- The conversion from position_range to clustering_range can return `nullopt` for empty ranges
|
||||
- Performance implications should be measured for hot paths
|
||||
|
||||
## Implementation Checklist
|
||||
|
||||
- [x] Add `position_range` feature flag to `gms/feature_service.hh`
|
||||
- [x] Add `position_range` IDL definition to `idl/position_in_partition.idl.hh`
|
||||
- [ ] Create new RPC verbs using position_range
|
||||
- [ ] Add feature-gated RPC selection logic
|
||||
- [ ] Migrate high-priority problematic code paths:
|
||||
- [ ] Fix intersection in `db/view/view.cc:1687`
|
||||
- [ ] Fix deoverlap in `db/view/view.cc:1712`
|
||||
- [ ] Fix deoverlap in `cql3/statements/cas_request.cc:90`
|
||||
- [ ] Migrate internal data structures systematically
|
||||
- [ ] Add comprehensive tests
|
||||
- [ ] Performance benchmarking
|
||||
- [ ] Documentation updates
|
||||
|
||||
## References
|
||||
|
||||
- `mutation/position_in_partition.hh` - position_range definition
|
||||
- `keys/clustering_interval_set.hh` - Example of correct position_range usage
|
||||
- Issues: #22817, #21604, #8157
|
||||
271
docs/dev/position-range-rpc-migration.md
Normal file
271
docs/dev/position-range-rpc-migration.md
Normal file
@@ -0,0 +1,271 @@
|
||||
# Position Range RPC Migration Plan
|
||||
|
||||
## Overview
|
||||
|
||||
This document outlines the plan for migrating RPC interfaces from `clustering_range` to `position_range` in a backward-compatible manner using feature flags.
|
||||
|
||||
## Background
|
||||
|
||||
The current RPC interfaces use `clustering_range` (defined as `interval<clustering_key_prefix>`) in structures like `partition_slice` and `read_command`. To enable the use of `position_range` internally while maintaining backward compatibility, we need to:
|
||||
|
||||
1. Create new RPC message types that use `position_range`
|
||||
2. Add new RPC verbs that accept these new types
|
||||
3. Feature-gate the use of these new verbs based on cluster capabilities
|
||||
|
||||
## Feature Flag
|
||||
|
||||
A new feature flag `position_range` has been added to `gms::feature_service`:
|
||||
|
||||
```cpp
|
||||
gms::feature position_range { *this, "POSITION_RANGE"sv };
|
||||
```
|
||||
|
||||
This feature will be enabled when all nodes in the cluster support the new RPC verbs.
|
||||
|
||||
## IDL Changes
|
||||
|
||||
### Already Added
|
||||
|
||||
The `position_range` class has been added to `idl/position_in_partition.idl.hh`:
|
||||
|
||||
```idl
|
||||
class position_range {
|
||||
position_in_partition start();
|
||||
position_in_partition end();
|
||||
};
|
||||
```
|
||||
|
||||
### To Be Added
|
||||
|
||||
New IDL types need to be created for RPC migration:
|
||||
|
||||
#### 1. partition_slice_v2 (in `idl/read_command.idl.hh`)
|
||||
|
||||
```idl
|
||||
namespace query {
|
||||
|
||||
class partition_slice_v2 {
|
||||
std::vector<position_range> default_row_ranges();
|
||||
utils::small_vector<uint32_t, 8> static_columns;
|
||||
utils::small_vector<uint32_t, 8> regular_columns;
|
||||
query::partition_slice::option_set options;
|
||||
std::unique_ptr<query::specific_ranges> get_specific_ranges();
|
||||
cql_serialization_format cql_format();
|
||||
uint32_t partition_row_limit_low_bits();
|
||||
uint32_t partition_row_limit_high_bits();
|
||||
};
|
||||
|
||||
class read_command_v2 {
|
||||
table_id cf_id;
|
||||
table_schema_version schema_version;
|
||||
query::partition_slice_v2 slice;
|
||||
uint32_t row_limit_low_bits;
|
||||
std::chrono::time_point<gc_clock, gc_clock::duration> timestamp;
|
||||
std::optional<tracing::trace_info> trace_info;
|
||||
uint32_t partition_limit;
|
||||
query_id query_uuid;
|
||||
query::is_first_page is_first_page;
|
||||
std::optional<query::max_result_size> max_result_size;
|
||||
uint32_t row_limit_high_bits;
|
||||
uint64_t tombstone_limit;
|
||||
};
|
||||
|
||||
}
|
||||
```
|
||||
|
||||
#### 2. New RPC Verbs (in `idl/storage_proxy.idl.hh`)
|
||||
|
||||
```idl
|
||||
// New verbs using position_range (to be used when position_range feature is enabled)
|
||||
verb [[with_client_info, with_timeout]] read_data_v2 (
|
||||
query::read_command_v2 cmd [[ref]],
|
||||
::compat::wrapping_partition_range pr,
|
||||
query::digest_algorithm digest,
|
||||
db::per_partition_rate_limit::info rate_limit_info,
|
||||
service::fencing_token fence
|
||||
) -> query::result [[lw_shared_ptr]],
|
||||
cache_temperature,
|
||||
replica::exception_variant;
|
||||
|
||||
verb [[with_client_info, with_timeout]] read_mutation_data_v2 (
|
||||
query::read_command_v2 cmd [[ref]],
|
||||
::compat::wrapping_partition_range pr,
|
||||
service::fencing_token fence
|
||||
) -> reconcilable_result [[lw_shared_ptr]],
|
||||
cache_temperature,
|
||||
replica::exception_variant;
|
||||
|
||||
verb [[with_client_info, with_timeout]] read_digest_v2 (
|
||||
query::read_command_v2 cmd [[ref]],
|
||||
::compat::wrapping_partition_range pr,
|
||||
query::digest_algorithm digest,
|
||||
db::per_partition_rate_limit::info rate_limit_info,
|
||||
service::fencing_token fence
|
||||
) -> query::result_digest,
|
||||
api::timestamp_type,
|
||||
cache_temperature,
|
||||
replica::exception_variant,
|
||||
std::optional<full_position>;
|
||||
```
|
||||
|
||||
## Implementation Changes
|
||||
|
||||
### 1. C++ Type Definitions
|
||||
|
||||
Create C++ implementations for the new IDL types:
|
||||
|
||||
```cpp
|
||||
// In query/query-request.hh or a new header
|
||||
namespace query {
|
||||
|
||||
class partition_slice_v2 {
|
||||
std::vector<position_range> _row_ranges;
|
||||
// ... other members same as partition_slice
|
||||
|
||||
public:
|
||||
// Constructors
|
||||
partition_slice_v2(std::vector<position_range> row_ranges, ...);
|
||||
|
||||
// Conversion methods
|
||||
static partition_slice_v2 from_legacy(const partition_slice& legacy);
|
||||
partition_slice to_legacy(const schema& s) const;
|
||||
|
||||
// Accessors
|
||||
const std::vector<position_range>& row_ranges() const { return _row_ranges; }
|
||||
};
|
||||
|
||||
class read_command_v2 {
|
||||
partition_slice_v2 slice;
|
||||
// ... other members same as read_command
|
||||
|
||||
public:
|
||||
// Constructors
|
||||
read_command_v2(...);
|
||||
|
||||
// Conversion methods
|
||||
static read_command_v2 from_legacy(const read_command& legacy);
|
||||
read_command to_legacy(const schema& s) const;
|
||||
};
|
||||
|
||||
}
|
||||
```
|
||||
|
||||
### 2. RPC Handler Implementation
|
||||
|
||||
In `service/storage_proxy.cc`, add handlers for the new verbs:
|
||||
|
||||
```cpp
|
||||
future<rpc::tuple<query::result_lw_shared_ptr, cache_temperature, replica::exception_variant>>
|
||||
storage_proxy::read_data_v2_handler(
|
||||
query::read_command_v2&& cmd,
|
||||
compat::wrapping_partition_range&& pr,
|
||||
query::digest_algorithm da,
|
||||
db::per_partition_rate_limit::info rate_limit_info,
|
||||
service::fencing_token fence) {
|
||||
|
||||
// Convert to legacy format if needed internally
|
||||
// Or better: refactor internal implementation to work with position_range
|
||||
auto legacy_cmd = cmd.to_legacy(*get_schema(cmd.cf_id));
|
||||
|
||||
// Call existing implementation
|
||||
return read_data_handler(std::move(legacy_cmd), std::move(pr), da, rate_limit_info, fence);
|
||||
}
|
||||
```
|
||||
|
||||
### 3. RPC Client Selection
|
||||
|
||||
In code that invokes RPCs (e.g., `storage_proxy::query_result`), add feature detection:
|
||||
|
||||
```cpp
|
||||
future<query::result> storage_proxy::query_data(...) {
|
||||
if (_features.position_range) {
|
||||
// Use new verb with position_range
|
||||
auto cmd_v2 = read_command_v2::from_legacy(cmd);
|
||||
return rpc_verb_read_data_v2(std::move(cmd_v2), ...);
|
||||
} else {
|
||||
// Use legacy verb with clustering_range
|
||||
return rpc_verb_read_data(std::move(cmd), ...);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Migration Strategy
|
||||
|
||||
### Phase 1: Foundation (Complete)
|
||||
- [x] Add `position_range` feature flag
|
||||
- [x] Add `position_range` IDL definition
|
||||
- [x] Fix critical clustering_range bugs using clustering_interval_set
|
||||
|
||||
### Phase 2: RPC Infrastructure (To Do)
|
||||
- [ ] Add `partition_slice_v2` IDL definition
|
||||
- [ ] Add `read_command_v2` IDL definition
|
||||
- [ ] Add new RPC verbs (`read_data_v2`, etc.)
|
||||
- [ ] Implement conversion methods between v1 and v2 types
|
||||
- [ ] Add RPC handlers for new verbs
|
||||
|
||||
### Phase 3: Client Migration (To Do)
|
||||
- [ ] Update RPC clients to check feature flag
|
||||
- [ ] Add logic to select appropriate verb based on feature availability
|
||||
- [ ] Test backward compatibility during rolling upgrades
|
||||
|
||||
### Phase 4: Internal Refactoring (To Do)
|
||||
- [ ] Gradually refactor internal implementations to use position_range natively
|
||||
- [ ] Remove conversion overhead once both versions are established
|
||||
- [ ] Update documentation and examples
|
||||
|
||||
### Phase 5: Deprecation (Future)
|
||||
- [ ] Once all production clusters are upgraded, consider deprecating v1 verbs
|
||||
- [ ] Remove legacy code after sufficient time has passed
|
||||
|
||||
## Testing
|
||||
|
||||
### Unit Tests
|
||||
- Test conversion between partition_slice and partition_slice_v2
|
||||
- Test conversion between read_command and read_command_v2
|
||||
- Verify that converted types produce equivalent results
|
||||
|
||||
### Integration Tests
|
||||
- Test RPC calls using both old and new verbs
|
||||
- Verify feature flag behavior during rolling upgrades
|
||||
- Test mixed-version clusters
|
||||
|
||||
### Backward Compatibility Tests
|
||||
- Ensure old clients can still communicate with new servers
|
||||
- Ensure new clients fall back to old verbs when feature is disabled
|
||||
|
||||
## Performance Considerations
|
||||
|
||||
1. **Conversion Overhead**: During the transition period, conversions between v1 and v2 types add overhead. This should be measured and minimized.
|
||||
|
||||
2. **Memory Usage**: position_range may have different memory characteristics than clustering_range. Monitor memory usage after migration.
|
||||
|
||||
3. **Serialization Size**: Compare wire format sizes to ensure no significant increase in network traffic.
|
||||
|
||||
## Risks and Mitigation
|
||||
|
||||
### Risk: Conversion Bugs
|
||||
**Mitigation**: Comprehensive unit tests for all conversion paths, particularly edge cases like empty ranges and open-ended ranges.
|
||||
|
||||
### Risk: Feature Flag Synchronization
|
||||
**Mitigation**: Use standard Scylla feature propagation mechanisms. Ensure feature is only enabled when all nodes support it.
|
||||
|
||||
### Risk: Performance Regression
|
||||
**Mitigation**: Performance benchmarks comparing old and new implementations. Have rollback plan if issues are discovered.
|
||||
|
||||
## Alternative Approaches Considered
|
||||
|
||||
### 1. Direct Migration Without Feature Flag
|
||||
**Rejected**: Too risky for rolling upgrades. Would require all-at-once cluster upgrade.
|
||||
|
||||
### 2. Transparent Conversion in IDL Layer
|
||||
**Rejected**: Would hide the distinction between old and new formats, making debugging harder.
|
||||
|
||||
### 3. Maintain Both Forever
|
||||
**Rejected**: Increases maintenance burden without clear benefit once migration is complete.
|
||||
|
||||
## References
|
||||
|
||||
- Main migration guide: `docs/dev/clustering-range-to-position-range-migration.md`
|
||||
- Issues: #22817, #21604, #8157
|
||||
- Feature service: `gms/feature_service.hh`
|
||||
- IDL definitions: `idl/position_in_partition.idl.hh`, `idl/read_command.idl.hh`
|
||||
@@ -176,6 +176,8 @@ public:
|
||||
gms::feature rack_list_rf { *this, "RACK_LIST_RF"sv };
|
||||
gms::feature driver_service_level { *this, "DRIVER_SERVICE_LEVEL"sv };
|
||||
gms::feature strongly_consistent_tables { *this, "STRONGLY_CONSISTENT_TABLES"sv };
|
||||
// Enable position_range in RPC interfaces instead of clustering_range
|
||||
gms::feature position_range { *this, "POSITION_RANGE"sv };
|
||||
public:
|
||||
|
||||
const std::unordered_map<sstring, std::reference_wrapper<feature>>& registered_features() const;
|
||||
|
||||
@@ -26,3 +26,8 @@ class position_in_partition {
|
||||
bound_weight get_bound_weight();
|
||||
std::optional<clustering_key_prefix> get_clustering_key_prefix();
|
||||
};
|
||||
|
||||
class position_range {
|
||||
position_in_partition start();
|
||||
position_in_partition end();
|
||||
};
|
||||
|
||||
70
query/position_range_utils.hh
Normal file
70
query/position_range_utils.hh
Normal file
@@ -0,0 +1,70 @@
|
||||
/*
|
||||
* Copyright (C) 2025-present ScyllaDB
|
||||
*/
|
||||
|
||||
/*
|
||||
* SPDX-License-Identifier: LicenseRef-ScyllaDB-Source-Available-1.0
|
||||
*/
|
||||
|
||||
#pragma once
|
||||
|
||||
#include "mutation/position_in_partition.hh"
|
||||
#include "query/query-request.hh"
|
||||
#include "keys/clustering_interval_set.hh"
|
||||
|
||||
namespace query {
|
||||
|
||||
/// Helper utilities for working with position_range and migrating from clustering_range.
|
||||
///
|
||||
/// These utilities support the gradual migration from clustering_range (interval<clustering_key_prefix>)
|
||||
/// to position_range. See docs/dev/clustering-range-to-position-range-migration.md for details.
|
||||
|
||||
/// Convert a vector of clustering_ranges to a vector of position_ranges
|
||||
inline std::vector<position_range> clustering_row_ranges_to_position_ranges(const clustering_row_ranges& ranges) {
|
||||
std::vector<position_range> result;
|
||||
result.reserve(ranges.size());
|
||||
for (const auto& r : ranges) {
|
||||
result.emplace_back(position_range::from_range(r));
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
/// Convert a vector of position_ranges to a vector of clustering_ranges
|
||||
/// Note: Empty position ranges (those that don't contain any keys) are skipped
|
||||
inline clustering_row_ranges position_ranges_to_clustering_row_ranges(const std::vector<position_range>& ranges, const schema& s) {
|
||||
clustering_row_ranges result;
|
||||
result.reserve(ranges.size());
|
||||
for (const auto& r : ranges) {
|
||||
if (auto cr = position_range_to_clustering_range(r, s)) {
|
||||
result.emplace_back(std::move(*cr));
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
/// Deoverlap clustering_row_ranges correctly using clustering_interval_set.
|
||||
/// This avoids the known bugs with clustering_range::deoverlap (see scylladb#22817, #21604, #8157).
|
||||
inline clustering_row_ranges deoverlap_clustering_row_ranges(const schema& s, const clustering_row_ranges& ranges) {
|
||||
clustering_interval_set interval_set(s, ranges);
|
||||
return interval_set.to_clustering_row_ranges();
|
||||
}
|
||||
|
||||
/// Intersect two clustering_row_ranges correctly using clustering_interval_set.
|
||||
/// This avoids the known bugs with clustering_range::intersection (see scylladb#22817, #21604, #8157).
|
||||
inline clustering_row_ranges intersect_clustering_row_ranges(const schema& s,
|
||||
const clustering_row_ranges& ranges1,
|
||||
const clustering_row_ranges& ranges2) {
|
||||
clustering_interval_set set1(s, ranges1);
|
||||
clustering_interval_set set2(s, ranges2);
|
||||
|
||||
clustering_interval_set result;
|
||||
for (const auto& r : set1) {
|
||||
if (set2.overlaps(s, r)) {
|
||||
result.add(s, r);
|
||||
}
|
||||
}
|
||||
|
||||
return result.to_clustering_row_ranges();
|
||||
}
|
||||
|
||||
} // namespace query
|
||||
@@ -134,11 +134,14 @@ bool is_compatible(column_kind k1, column_kind k2);
|
||||
|
||||
enum class cf_type : uint8_t {
|
||||
standard,
|
||||
super,
|
||||
};
|
||||
|
||||
inline sstring cf_type_to_sstring(cf_type t) {
|
||||
if (t == cf_type::standard) {
|
||||
return "Standard";
|
||||
} else if (t == cf_type::super) {
|
||||
return "Super";
|
||||
}
|
||||
throw std::invalid_argument(format("unknown type: {:d}\n", uint8_t(t)));
|
||||
}
|
||||
@@ -146,6 +149,8 @@ inline sstring cf_type_to_sstring(cf_type t) {
|
||||
inline cf_type sstring_to_cf_type(sstring name) {
|
||||
if (name == "Standard") {
|
||||
return cf_type::standard;
|
||||
} else if (name == "Super") {
|
||||
return cf_type::super;
|
||||
}
|
||||
throw std::invalid_argument(format("unknown type: {}\n", name));
|
||||
}
|
||||
@@ -683,13 +688,13 @@ public:
|
||||
}
|
||||
|
||||
bool is_cql3_table() const {
|
||||
return !is_dense() && is_compound();
|
||||
return !is_super() && !is_dense() && is_compound();
|
||||
}
|
||||
bool is_compact_table() const {
|
||||
return !is_cql3_table();
|
||||
}
|
||||
bool is_static_compact_table() const {
|
||||
return !is_dense() && !is_compound();
|
||||
return !is_super() && !is_dense() && !is_compound();
|
||||
}
|
||||
|
||||
const table_id& id() const {
|
||||
@@ -706,6 +711,10 @@ public:
|
||||
return _raw._type;
|
||||
}
|
||||
|
||||
bool is_super() const {
|
||||
return _raw._type == cf_type::super;
|
||||
}
|
||||
|
||||
gc_clock::duration gc_grace_seconds() const {
|
||||
auto seconds = std::chrono::seconds(_raw._props.gc_grace_seconds);
|
||||
return std::chrono::duration_cast<gc_clock::duration>(seconds);
|
||||
|
||||
126
test/boost/position_range_utils_test.cc
Normal file
126
test/boost/position_range_utils_test.cc
Normal file
@@ -0,0 +1,126 @@
|
||||
/*
|
||||
* Copyright (C) 2025-present ScyllaDB
|
||||
*/
|
||||
|
||||
/*
|
||||
* SPDX-License-Identifier: LicenseRef-ScyllaDB-Source-Available-1.0
|
||||
*/
|
||||
|
||||
#include <seastar/testing/thread_test_case.hh>
|
||||
#include "test/lib/scylla_test_case.hh"
|
||||
#include "test/lib/simple_schema.hh"
|
||||
#include "query/position_range_utils.hh"
|
||||
#include "keys/clustering_interval_set.hh"
|
||||
#include "schema/schema_builder.hh"
|
||||
|
||||
using namespace query;
|
||||
|
||||
SEASTAR_THREAD_TEST_CASE(test_deoverlap_clustering_row_ranges) {
|
||||
simple_schema s;
|
||||
|
||||
// Create overlapping ranges
|
||||
auto ck1 = s.make_ckey(1);
|
||||
auto ck2 = s.make_ckey(2);
|
||||
auto ck3 = s.make_ckey(3);
|
||||
auto ck4 = s.make_ckey(4);
|
||||
|
||||
clustering_row_ranges ranges;
|
||||
ranges.push_back(clustering_range::make({ck1, true}, {ck3, true})); // [1, 3]
|
||||
ranges.push_back(clustering_range::make({ck2, true}, {ck4, true})); // [2, 4]
|
||||
|
||||
// Deoverlap should merge these into a single range [1, 4]
|
||||
auto deoverlapped = deoverlap_clustering_row_ranges(*s.schema(), ranges);
|
||||
|
||||
BOOST_REQUIRE_EQUAL(deoverlapped.size(), 1);
|
||||
BOOST_REQUIRE(deoverlapped[0].start());
|
||||
BOOST_REQUIRE(deoverlapped[0].end());
|
||||
BOOST_REQUIRE(deoverlapped[0].start()->value().equal(*s.schema(), ck1));
|
||||
BOOST_REQUIRE(deoverlapped[0].end()->value().equal(*s.schema(), ck4));
|
||||
}
|
||||
|
||||
SEASTAR_THREAD_TEST_CASE(test_deoverlap_with_non_overlapping_ranges) {
|
||||
simple_schema s;
|
||||
|
||||
auto ck1 = s.make_ckey(1);
|
||||
auto ck2 = s.make_ckey(2);
|
||||
auto ck3 = s.make_ckey(3);
|
||||
auto ck4 = s.make_ckey(4);
|
||||
|
||||
clustering_row_ranges ranges;
|
||||
ranges.push_back(clustering_range::make({ck1, true}, {ck2, true})); // [1, 2]
|
||||
ranges.push_back(clustering_range::make({ck3, true}, {ck4, true})); // [3, 4]
|
||||
|
||||
// These don't overlap, should remain as two separate ranges
|
||||
auto deoverlapped = deoverlap_clustering_row_ranges(*s.schema(), ranges);
|
||||
|
||||
BOOST_REQUIRE_EQUAL(deoverlapped.size(), 2);
|
||||
}
|
||||
|
||||
SEASTAR_THREAD_TEST_CASE(test_clustering_row_ranges_conversion) {
|
||||
simple_schema s;
|
||||
|
||||
auto ck1 = s.make_ckey(1);
|
||||
auto ck2 = s.make_ckey(2);
|
||||
|
||||
clustering_row_ranges ranges;
|
||||
ranges.push_back(clustering_range::make({ck1, true}, {ck2, false})); // [1, 2)
|
||||
|
||||
// Convert to position_ranges and back
|
||||
auto pos_ranges = clustering_row_ranges_to_position_ranges(ranges);
|
||||
BOOST_REQUIRE_EQUAL(pos_ranges.size(), 1);
|
||||
|
||||
auto converted_back = position_ranges_to_clustering_row_ranges(pos_ranges, *s.schema());
|
||||
BOOST_REQUIRE_EQUAL(converted_back.size(), 1);
|
||||
|
||||
// Check that the conversion is correct
|
||||
BOOST_REQUIRE(converted_back[0].start());
|
||||
BOOST_REQUIRE(converted_back[0].end());
|
||||
BOOST_REQUIRE(converted_back[0].start()->value().equal(*s.schema(), ck1));
|
||||
BOOST_REQUIRE(converted_back[0].start()->is_inclusive());
|
||||
BOOST_REQUIRE(converted_back[0].end()->value().equal(*s.schema(), ck2));
|
||||
BOOST_REQUIRE(!converted_back[0].end()->is_inclusive());
|
||||
}
|
||||
|
||||
SEASTAR_THREAD_TEST_CASE(test_intersect_clustering_row_ranges) {
|
||||
simple_schema s;
|
||||
|
||||
auto ck1 = s.make_ckey(1);
|
||||
auto ck2 = s.make_ckey(2);
|
||||
auto ck3 = s.make_ckey(3);
|
||||
auto ck4 = s.make_ckey(4);
|
||||
|
||||
clustering_row_ranges ranges1;
|
||||
ranges1.push_back(clustering_range::make({ck1, true}, {ck3, true})); // [1, 3]
|
||||
|
||||
clustering_row_ranges ranges2;
|
||||
ranges2.push_back(clustering_range::make({ck2, true}, {ck4, true})); // [2, 4]
|
||||
|
||||
// Intersection should be [2, 3]
|
||||
auto intersected = intersect_clustering_row_ranges(*s.schema(), ranges1, ranges2);
|
||||
|
||||
BOOST_REQUIRE_EQUAL(intersected.size(), 1);
|
||||
BOOST_REQUIRE(intersected[0].start());
|
||||
BOOST_REQUIRE(intersected[0].end());
|
||||
BOOST_REQUIRE(intersected[0].start()->value().equal(*s.schema(), ck2));
|
||||
BOOST_REQUIRE(intersected[0].end()->value().equal(*s.schema(), ck3));
|
||||
}
|
||||
|
||||
SEASTAR_THREAD_TEST_CASE(test_intersect_non_overlapping_ranges) {
|
||||
simple_schema s;
|
||||
|
||||
auto ck1 = s.make_ckey(1);
|
||||
auto ck2 = s.make_ckey(2);
|
||||
auto ck3 = s.make_ckey(3);
|
||||
auto ck4 = s.make_ckey(4);
|
||||
|
||||
clustering_row_ranges ranges1;
|
||||
ranges1.push_back(clustering_range::make({ck1, true}, {ck2, true})); // [1, 2]
|
||||
|
||||
clustering_row_ranges ranges2;
|
||||
ranges2.push_back(clustering_range::make({ck3, true}, {ck4, true})); // [3, 4]
|
||||
|
||||
// No overlap, should return empty
|
||||
auto intersected = intersect_clustering_row_ranges(*s.schema(), ranges1, ranges2);
|
||||
|
||||
BOOST_REQUIRE_EQUAL(intersected.size(), 0);
|
||||
}
|
||||
@@ -21,14 +21,33 @@ static logging::logger ulogger("unimplemented");
|
||||
|
||||
std::string_view format_as(cause c) {
|
||||
switch (c) {
|
||||
case cause::API: return "API";
|
||||
case cause::INDEXES: return "INDEXES";
|
||||
case cause::LWT: return "LWT";
|
||||
case cause::PAGING: return "PAGING";
|
||||
case cause::AUTH: return "AUTH";
|
||||
case cause::PERMISSIONS: return "PERMISSIONS";
|
||||
case cause::TRIGGERS: return "TRIGGERS";
|
||||
case cause::COUNTERS: return "COUNTERS";
|
||||
case cause::METRICS: return "METRICS";
|
||||
case cause::MIGRATIONS: return "MIGRATIONS";
|
||||
case cause::GOSSIP: return "GOSSIP";
|
||||
case cause::TOKEN_RESTRICTION: return "TOKEN_RESTRICTION";
|
||||
case cause::LEGACY_COMPOSITE_KEYS: return "LEGACY_COMPOSITE_KEYS";
|
||||
case cause::COLLECTION_RANGE_TOMBSTONES: return "COLLECTION_RANGE_TOMBSTONES";
|
||||
case cause::RANGE_DELETES: return "RANGE_DELETES";
|
||||
case cause::VALIDATION: return "VALIDATION";
|
||||
case cause::REVERSED: return "REVERSED";
|
||||
case cause::COMPRESSION: return "COMPRESSION";
|
||||
case cause::NONATOMIC: return "NONATOMIC";
|
||||
case cause::CONSISTENCY: return "CONSISTENCY";
|
||||
case cause::HINT: return "HINT";
|
||||
case cause::SUPER: return "SUPER";
|
||||
case cause::WRAP_AROUND: return "WRAP_AROUND";
|
||||
case cause::STORAGE_SERVICE: return "STORAGE_SERVICE";
|
||||
case cause::API: return "API";
|
||||
case cause::SCHEMA_CHANGE: return "SCHEMA_CHANGE";
|
||||
case cause::MIXED_CF: return "MIXED_CF";
|
||||
case cause::SSTABLE_FORMAT_M: return "SSTABLE_FORMAT_M";
|
||||
}
|
||||
abort();
|
||||
}
|
||||
|
||||
@@ -15,14 +15,33 @@
|
||||
namespace unimplemented {
|
||||
|
||||
enum class cause {
|
||||
API, // REST API features not implemented (force_user_defined_compaction, split_output in major compaction)
|
||||
INDEXES, // Secondary index features (filtering on collections, clustering columns)
|
||||
TRIGGERS, // Trigger support in schema tables and storage proxy
|
||||
METRICS, // Query processor metrics
|
||||
VALIDATION, // Schema validation in DDL statements (drop keyspace, truncate, token functions)
|
||||
REVERSED, // Reversed types in CQL protocol
|
||||
HINT, // Hint replaying in batchlog manager
|
||||
SUPER, // Super column families (legacy Cassandra feature, never supported)
|
||||
API,
|
||||
INDEXES,
|
||||
LWT,
|
||||
PAGING,
|
||||
AUTH,
|
||||
PERMISSIONS,
|
||||
TRIGGERS,
|
||||
COUNTERS,
|
||||
METRICS,
|
||||
MIGRATIONS,
|
||||
GOSSIP,
|
||||
TOKEN_RESTRICTION,
|
||||
LEGACY_COMPOSITE_KEYS,
|
||||
COLLECTION_RANGE_TOMBSTONES,
|
||||
RANGE_DELETES,
|
||||
VALIDATION,
|
||||
REVERSED,
|
||||
COMPRESSION,
|
||||
NONATOMIC,
|
||||
CONSISTENCY,
|
||||
HINT,
|
||||
SUPER,
|
||||
WRAP_AROUND, // Support for handling wrap around ranges in queries on database level and below
|
||||
STORAGE_SERVICE,
|
||||
SCHEMA_CHANGE,
|
||||
MIXED_CF,
|
||||
SSTABLE_FORMAT_M,
|
||||
};
|
||||
|
||||
[[noreturn]] void fail(cause what);
|
||||
|
||||
Reference in New Issue
Block a user