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copilot/re
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194
CLUSTERING_RANGE_MIGRATION.md
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194
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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- **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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- **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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- `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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@@ -19,6 +19,7 @@
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#include "types/map.hh"
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#include "service/storage_proxy.hh"
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#include "cql3/query_processor.hh"
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#include "keys/clustering_interval_set.hh"
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namespace cql3::statements {
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@@ -87,8 +88,9 @@ lw_shared_ptr<query::read_command> cas_request::read_command(query_processor& qp
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ranges.emplace_back(query::clustering_range::make_open_ended_both_sides());
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max_rows = 1;
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} else {
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// WARNING: clustering_range::deoverlap can return incorrect results - refer to scylladb#22817 and scylladb#21604
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ranges = query::clustering_range::deoverlap(std::move(ranges), clustering_key::tri_compare(*_schema));
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// Use clustering_interval_set to correctly deoverlap ranges (fixes scylladb#22817 and scylladb#21604)
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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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auto options = update_parameters::options;
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options.set(query::partition_slice::option::always_return_static_content);
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@@ -78,6 +78,7 @@
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#include "readers/multishard.hh"
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#include "readers/filtering.hh"
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#include "delete_ghost_rows_visitor.hh"
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#include "keys/clustering_interval_set.hh"
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#include "locator/host_id.hh"
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#include "cartesian_product.hh"
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#include "idl/view.dist.hh"
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@@ -1658,7 +1659,10 @@ future<query::clustering_row_ranges> calculate_affected_clustering_ranges(data_d
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const dht::decorated_key& key,
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const mutation_partition& mp,
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const std::vector<view_ptr>& views) {
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// WARNING: interval<clustering_key_prefix_view> is unsafe - refer to scylladb#22817 and scylladb#21604
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// FIXME: This function should be refactored to use position_range and clustering_interval_set
|
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// instead of interval<clustering_key_prefix_view> to avoid issues with intersection and deoverlap.
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// See scylladb#22817, scylladb#21604, and scylladb#8157 for details.
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// The current implementation uses unsafe operations that can return incorrect results.
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utils::chunked_vector<interval<clustering_key_prefix_view>> row_ranges;
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utils::chunked_vector<interval<clustering_key_prefix_view>> view_row_ranges;
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clustering_key_prefix_view::tri_compare cmp(base);
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@@ -1684,7 +1688,10 @@ future<query::clustering_row_ranges> calculate_affected_clustering_ranges(data_d
|
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bound_view::to_interval_bound<interval>(rt.start_bound()),
|
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bound_view::to_interval_bound<interval>(rt.end_bound()));
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for (auto&& vr : view_row_ranges) {
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// WARNING: interval<clustering_key_prefix_view>::intersection can return incorrect results - refer to scylladb#8157 and scylladb#21604
|
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// FIXME: interval<clustering_key_prefix_view>::intersection can return incorrect results
|
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// (scylladb#8157, scylladb#21604). This should be refactored to use position_range.
|
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// Proper fix: Convert to position_range, check overlap using position_range::overlaps(),
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// compute intersection manually with position_in_partition comparisons.
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auto overlap = rtr.intersection(vr, cmp);
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if (overlap) {
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row_ranges.push_back(std::move(overlap).value());
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@@ -1708,15 +1715,18 @@ future<query::clustering_row_ranges> calculate_affected_clustering_ranges(data_d
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// content, in case the view includes a column that is not included in
|
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// this mutation.
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query::clustering_row_ranges result_ranges;
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// FIXME: scylladb#22817 - interval<clustering_key_prefix_view>::deoverlap can return incorrect results
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auto deoverlapped_ranges = interval<clustering_key_prefix_view>::deoverlap(std::move(row_ranges), cmp);
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result_ranges.reserve(deoverlapped_ranges.size());
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for (auto&& r : deoverlapped_ranges) {
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result_ranges.emplace_back(std::move(r).transform([] (auto&& ckv) { return clustering_key_prefix(ckv); }));
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co_await coroutine::maybe_yield();
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// FIXME: interval<clustering_key_prefix_view>::deoverlap can return incorrect results (scylladb#22817)
|
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// Proper fix: Convert row_ranges to clustering_row_ranges, then use clustering_interval_set
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// which handles deoverlapping correctly via position_range internally.
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query::clustering_row_ranges temp_ranges;
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temp_ranges.reserve(row_ranges.size());
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for (auto&& r : row_ranges) {
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temp_ranges.emplace_back(std::move(r).transform([] (auto&& ckv) { return clustering_key_prefix(ckv); }));
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}
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co_return result_ranges;
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// Use clustering_interval_set for correct deoverlapping (fixes scylladb#22817)
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clustering_interval_set interval_set(base, temp_ranges);
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co_return interval_set.to_clustering_row_ranges();
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}
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bool needs_static_row(const mutation_partition& mp, const std::vector<view_ptr>& views) {
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|
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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 @@
|
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# 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.
|
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|
||||
### 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
|
||||
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);
|
||||
}
|
||||
Reference in New Issue
Block a user