TiKV + SPDK: Pushing the Limits of Storage Performance
By introducing SPDK into TiKV, we enable the database to directly send instructions to NVMe disks, reducing read/write latency significantly.
How I Enabled TiKV Coprocessor to Support ENUM and SET Calculations
A TiKV contributor participated in the Coprocessor support ENUM/SET project and implemented these two calculations. This helped improve TiKV's calculation performance.
Announcing PD Transfer to TiKV Project
We decide to move the Placement Driver library entirely to TiKV org, happening at 11 AM, UTC+8, August 17, 2020.
A Few More Reasons Rust Compiles Slowly
This is the fourth episode of the Rust Compile Time series. It discusses some factors that cause Rust to build slow, including LLVM, compiler architecture, and linking.
Rust’s Huge Compilation Units
The third episode of the Rust Compile Time series discusses why Rust's compilation units are so big and how that affects compile times.
Generics and Compile-Time in Rust
This is the second episode of the Rust Compile Time series. Brian Anderson, one of Rust's original authors, talks about monomorphization, using the TiKV project as a case study.
Building, Running, and Benchmarking TiKV and TiDB
This post introduces how to build and run your own TiDB or TiKV, and how to run some benchmarks on those databases.
Quickly Find Rust Program Bottlenecks Online Using a Go Tool
It can be hard to find Rust programs' performance bottlenecks online. By integrating pprof-rs in TiKV, we can use the Go tool pprof to visualize TiKV's profiling data. This helps analyze the program's performance online.
Doubling System Read Throughput with Only 26 Lines of Code
The Follower Read feature lets any follower replica in a Region serve a read request under the premise of strongly consistent reads. It reduces the load on the Raft leader and improves the read throughput of the TiDB cluster. Read this post to learn more.
The Rust Compilation Model Calamity
In this first episode of the Rust Compile time series, Brian Anderson, one of Rust's original authors, shares with you his researches and experiences with Rust compile times, using the TiKV project as a case study.
How TiKV Reads and Writes
This post details how TiKV, as a distributed database, stores the data contained in a write request and how it retrieves the corresponding data with consistency guaranteed.
AutoTiKV: TiKV Tuning Made Easy by Machine Learning
AutoTiKV is a machine-learning-based tuning tool that helps decrease tuning costs and make life easier for DBAs. This post shows AutoTiKV's design, its machine learning model, and the automatic tuning workflow.