RaftKeeper v2.1.0: 118% Faster Mixed Workloads and Snapshot Optimizations

The article details how RaftKeeper v2.1.0, a high‑performance distributed consensus service compatible with Zookeeper, achieves up to 118% throughput gains in mixed read/write scenarios and significant latency reductions through engineering optimizations such as parallel response serialization, list‑request redesign, system‑call pruning, thread‑pool adjustments, and asynchronous snapshot handling.

BenchmarkRaftKeeperperformance

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RaftKeeper v2.1.0: 118% Faster Mixed Workloads and Snapshot Optimizations

JD Tech Talk

Jul 15, 2024 · Backend Development

Performance Optimizations in RaftKeeper v2.1.0: Benchmark Results and Engineering Details

The article presents a detailed engineering analysis of RaftKeeper v2.1.0, highlighting benchmark‑driven performance improvements such as 11% write throughput gains, up to 198% faster read‑write mixed workloads, and multiple optimizations—including response serialization, list‑request handling, system‑call reduction, thread‑pool redesign, and asynchronous snapshot processing—validated on large ClickHouse clusters.

BenchmarkDistributed SystemsRaftKeeper

0 likes · 11 min read

Performance Optimizations in RaftKeeper v2.1.0: Benchmark Results and Engineering Details

DataFunTalk

Jul 11, 2024 · Backend Development

Performance Optimizations and Benchmark Analysis of RaftKeeper v2.1.0

The article presents a detailed engineering analysis of RaftKeeper v2.1.0, describing benchmark methodology, performance gains across create, mixed, and list workloads, and four major optimizations—including response serialization parallelism, list‑request handling, system‑call reduction, thread‑pool redesign, and asynchronous snapshot processing—demonstrating substantial throughput and latency improvements in large‑scale ClickHouse deployments.

CClickHouseRaftKeeper

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Performance Optimizations and Benchmark Analysis of RaftKeeper v2.1.0

DataFunSummit

Jul 27, 2023 · Backend Development

Building a High‑Availability ClickHouse Cluster with RaftKeeper

This article explains how RaftKeeper leverages the Raft consensus algorithm to create a high‑availability, high‑performance ClickHouse cluster across multiple data centers, covering project background, architecture, core features, performance optimizations, and real‑world deployment results.

Backend DevelopmentClickHouseCross-DataCenter

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Building a High‑Availability ClickHouse Cluster with RaftKeeper