jys created HBASE-29658:
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             Summary: RVV Vectorization Optimization: Performance Enhancement 
for LZ4 Compression, BloomFilter Operations, and Scan Queries
                 Key: HBASE-29658
                 URL: https://issues.apache.org/jira/browse/HBASE-29658
             Project: HBase
          Issue Type: Improvement
    Affects Versions: 2.5.12
         Environment: - HBase Version: 2.5.12
- Java Version: java-17-openjdk-17.0.11.9-1.eos30.riscv64
- Operating System: Linux
- Architecture: RISC-V (with RVV extension support)
            Reporter: jys
         Attachments: hbase-rvv-optimization-code.zip

## Overview
This enhancement adds RISC-V Vector (RVV) optimizations to Apache HBase, 
significantly improving performance for LZ4 compression, BloomFilter 
operations, and scan queries.

## Background
As RISC-V architecture gains traction in data centers and high-performance 
computing environments, providing native RVV-accelerated performance will help 
establish HBase as a leading database solution for RISC-V ecosystems.

## Implementation Details

### 1. LZ4 Compression Optimization
- Vectorized hash computation using RVV instructions
- Parallel dictionary access and batch memory operations
- JNI integration with runtime RVV support detection
- Dynamic fallback to standard implementation when RVV unavailable

### 2. BloomFilter Optimization
- Vectorized bit manipulation and parallel hash computation
- Batch processing for multiple keys in single vector operations
- Optimized memory access patterns for vector operations
- Enhanced performance for bulk BloomFilter operations

### 3. Scan Query Optimization
- Vectorized byte comparisons and prefix matching
- Batch data processing and memory copy optimization
- Enhanced StoreScanner performance with RVV operations
- Improved CellComparator with vectorized comparisons

## Technical Implementation
- Conditional compilation using `#if defined(__riscv) && 
defined(__riscv_vector)`
- Runtime detection with graceful fallback when RVV unavailable
- Backward compatibility - no impact on existing deployments
- Built-in performance monitoring and metrics collection
- JNI integration for native RVV operations


## Testing and Validation
- Comprehensive unit test suite
- YCSB benchmark integration with detailed metrics
- Correctness validation ensuring identical results
- Cross-platform compatibility verification
- Performance analysis and optimization validation

## Files Modified/Created
- Modified: Lz4Compressor.java, BloomFilterChunk.java, 
CompoundBloomFilterWriter.java, StoreScanner.java, CellComparatorImpl.java
- Created: Lz4Native.java, NativeLoader.java , BloomFilterRvvNative.java, 
ScanRVV.java, RVVByteBufferUtils.java
- Native implementations: lz4.c, Lz4Native.c, bloomfilter_rvv.c, scan_rvv.c,  
scan_rvv_jni.c

### Ready for Community Review

The implementation is **complete and ready** for Apache HBase community review 
and integration. All code has been tested, documented, and validated with 
comprehensive performance benchmarks.

**I welcome feedback, suggestions, and guidance from the Apache HBase community 
to ensure this contribution meets the highest standards and aligns with the 
project's goals.**

## Community Benefits
- Better developer experience on RISC-V platforms
- Improved performance for data-intensive workloads
- Enhanced HBase competitiveness in RISC-V ecosystems
- Valuable contribution to open-source community



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