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Author: Wenbo Zhang (Linux Kernel Engineer of the EE team at PingCAP) Transcreator: Caitin Chen; Editor: Tom Dewan Distributed clusters might encounter performance problems or unpredictable failures, especially when they are running in the cloud. Of all the kinds of failures, kernel failures may be the most difficult to analyze and simulate. A practical solution is Berkeley Packet Filter (BPF), a

Author: Brian Anderson (Senior Database Engineer at PingCAP) Editor: Caitin Chen The Rust programming language compiles fast software slowly. In this series we explore Rust’s compile times within the context of TiKV, the key-value store behind the TiDB database. Rust Compile-time Adventures with TiKV: Episode 4 Lately we’re exploring how Rust’s designs discourage fast compilation. In Rust’s Huge C

The Rust Compilation Model CalamityAuthor: Brian Anderson (Senior Database Engineer at PingCAP) Editor: Caitin Chen The Rust programming language compiles fast software slowly. In this series we explore Rust’s compile times within the context of TiKV, the key-value store behind the TiDB database. Rust Compile-time Adventures with TiKV: Episode 2 In the previous post in the series we covered Rust’s

Author: Ke’ao Yang (Software Engineer at PingCAP) Transcreator: Caitin Chen; Editor: Tom Dewan Profiling large Rust applications online is difficult. Current profilers are not up to the job. When we need to analyze a Rust program’s performance, we often think about perf. To use perf, we need to: Install a complete perf program to sample stack traces. Use a set of script tools to process the file o

Author: Nick Cameron (Database Engineer at PingCAP) Editor: Caitin Chen I’ve been using Go for the past few weeks. It’s my first time using Go for a large (-ish), serious project. I’ve previously looked at Go a lot and played with examples and toy programs when researching features for Rust. Real programming is a very different experience. I thought it would be interesting to write about my impres

I am very satisfied with how fast PingCAP’s engineers have responded to inquiries, despite being a global team. During the validation testing, I pointed out that the lack of instance types hindered TiDB Cloud’s flexibility. The team at PingCAP immediately added new instance types to the lineup. This sort of turnaround time would be unthinkable with other services. Ryohei Morita, Infrastructure Tea

What is Chaos? In the world of distributed computing, you can never predict what will happen to your cluster. Anything is possible. A butterfly fluttering in Rio de Janeiro could change the weather in Chicago, or destroy an entire data center in Cairo. Network Time Protocol (NTP) might be out of sync, CPUs might mysteriously max out, or worse yet, your diligent DBA might accidentally remove data i

This is the speech Tang Liu (tl@pingcap.com) gave at the Bay Area Rust Meetup August 2017. Speaker Introduction Async Programming Why not Sync? Why Async? Callback Hell Coroutine Makes it Easy Future, Another Way Futures in Rust Futures Combinator Synchronization Stream Sink Task gRPC Why gRPC? HTTP/2 gRPC based on HTTP/2 Combine Futures and gRPC C gRPC Keywords Pseudo Flow Unary Client Streaming

This is the speech Max Liu gave at Percona Live Open Source Database Conference 2016. Speaker introduction First, about me. I am an infrastructure engineer and I am also the CEO of PingCAP. Currently, my team and I are working on two open source projects: TiDB and TiKV. Ti is short for Titanium, which is a chemical element known for its corrosion resistance and it is widely used in high-end techno