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https://issues.apache.org/jira/browse/HBASE-29658?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated HBASE-29658:
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    Labels: pull-request-available  (was: )

> 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
>            Assignee: jys
>            Priority: Major
>              Labels: pull-request-available
>         Attachments: hbase-rvv-optimization-code.zip
>
>   Original Estimate: 216h
>  Remaining Estimate: 216h
>
> 1.Overview
> This enhancement adds RISC-V Vector (RVV) optimizations to Apache HBase, 
> significantly improving performance for LZ4 compression, BloomFilter 
> operations, and scan queries.
> 2.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.
> 3.Implementation Details
>  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
> 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
>  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
> 4.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
> 5.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
> 6.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
> 7.Ready for Community Review
> The implementation is complete and ready for Apache HBase community review 
> and integration. 
> 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.
> 8.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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