LeaseGuard: Raft Leases Done Right
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866915685520637952 |
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| author | Davis, A. Jesse Jiryu Demirbas, Murat Deng, Lingzhi |
| author_facet | Davis, A. Jesse Jiryu Demirbas, Murat Deng, Lingzhi |
| contents | Raft is a leading consensus algorithm for replicating writes in distributed databases. However, distributed databases also require consistent reads. To guarantee read consistency, a Raft-based system must either accept the high communication overhead of a safety check for each read, or implement leader leases. Prior lease protocols are vaguely specified and hurt availability, so most Raft systems implement them incorrectly or not at all. We introduce LeaseGuard, a novel lease algorithm that relies on guarantees specific to Raft elections. LeaseGuard is simple, rigorously specified in TLA+, and includes two novel optimizations that maximize availability during leader failover. The first optimization restores write throughput quickly, and the second improves read availability. We evaluate LeaseGuard with a simulation in Python and an implementation in LogCabin, the C++ reference implementation of Raft. By replacing LogCabin's default consistency mechanism (quorum checks), LeaseGuard reduces the overhead of consistent reads from one to zero network roundtrips. It also improves write throughput from ~1000 to ~10,000 writes per second, by eliminating contention between writes and quorum reads. Whereas traditional leases ban all reads on a new leader while it waits for a lease, in our LeaseGuard test the new leader instantly allows 99% of reads to succeed. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2512_15659 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | LeaseGuard: Raft Leases Done Right Davis, A. Jesse Jiryu Demirbas, Murat Deng, Lingzhi Distributed, Parallel, and Cluster Computing Raft is a leading consensus algorithm for replicating writes in distributed databases. However, distributed databases also require consistent reads. To guarantee read consistency, a Raft-based system must either accept the high communication overhead of a safety check for each read, or implement leader leases. Prior lease protocols are vaguely specified and hurt availability, so most Raft systems implement them incorrectly or not at all. We introduce LeaseGuard, a novel lease algorithm that relies on guarantees specific to Raft elections. LeaseGuard is simple, rigorously specified in TLA+, and includes two novel optimizations that maximize availability during leader failover. The first optimization restores write throughput quickly, and the second improves read availability. We evaluate LeaseGuard with a simulation in Python and an implementation in LogCabin, the C++ reference implementation of Raft. By replacing LogCabin's default consistency mechanism (quorum checks), LeaseGuard reduces the overhead of consistent reads from one to zero network roundtrips. It also improves write throughput from ~1000 to ~10,000 writes per second, by eliminating contention between writes and quorum reads. Whereas traditional leases ban all reads on a new leader while it waits for a lease, in our LeaseGuard test the new leader instantly allows 99% of reads to succeed. |
| title | LeaseGuard: Raft Leases Done Right |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2512.15659 |