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.
How We Improved TPC-C Performance by 50% and TPC-H Performance by 100%
TiDB 4.0 release greatly outperforms TiDB 3.0. Our TPC-C benchmark improved by about 50% and our TPC-H benchmark improved by about 100%.
Large Transactions in TiDB
This post describes how we implemented support for large transactions in TiDB 4.0.
Simulating Clock Skew in K8s Without Affecting Other Containers on the Node
As a cloud-native chaos engineering platform, Chaos Mesh supports TimeChaos, which simulates clock skew in containers or K8s for distributed systems to test system robustness, without affecting other containers on the node.
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.
Early Impressions of Go from a Rust Programmer
Nick Cameron is a long-time Rust programmer who has recently started using Go. In this post, he talks about his early impressions of Go. Read this post to learn more.
How We Reduced Multi-region Read Latency and Network Traffic by 50%
High read latency and network traffic are common issues for a multi-region architecture. At TiDB Hackathon 2019, a team won 2nd place by reducing multi-region read latency and network traffic by 50%. Read this post to learn how they did it.
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.
Squashed Bugs, Served Hot and Fresh with Failure Rate Heatmaps
At TiDB Hackathon 2019, a team won the third prize by building a bot that helps quickly locate bugs in the code. Read this post to get more details.
10x Performance Improvement for Expression Evaluation Made Possible by Vectorized Execution and the Community
We vectorized 360+ built-in functions along with the TiDB community. Vectorized execution has greatly improved the expression evaluation performance. Some functions even achieved 10x performance. Here is our vectorization story.