Beta release of Vector’s new disk buffer implementation
More consistent performance and resource usage for disk buffers
As the first major milestone in our work to improve buffering support in Vector, we’re excited to announce the beta release of a new disk buffer implementation. Vector’s new disk buffer is faster, more consistent, and uses less resources. With 0.20.0, you can opt into these new disk buffers via a simple configuration update. We need your help to try it out and give us feedback as this new feature stabilises and becomes Vector’s default disk buffer implementation.
You can skip below to see how to opt in, or continue reading to learn about the history of buffers in Vector, and about why we’ve decided to rewrite our disk buffer support.
In Vector, buffers serve the main purpose of temporarily absorbing spikes in load. All sinks use some form of buffer between their inputs and the sink itself, and by default, an in-memory buffer is used. While great for providing the lowest possible latency and highest throughput, in-memory buffers lack the ability to provide data durability. If any events are still in an in-memory buffer and Vector experiences an error that terminates the process, or the system running Vector itself crashes, those buffered events would be permanently lost. As an alternative to in-memory buffers, we provide disk buffers, which allow writing the events to disk, providing durability and persistence, regardless of issues with Vector and the host system.
You may already be familiar with disk buffers if you have a sink configuration that looks like this:
[sinks.http] # ... buffer.type = "disk"
The initial disk buffer implementation in Vector was based on LevelDB. LevelDB can unquestionably meet the “durability” guarantees that Vector wants to provide, but falls short at providing consistent performance. LevelDB’s design, to write to many files, and then eventually merge them back together in the background, is overkill for our needs: Vector only ever writes events to its buffer in a sequential fashion, and paying the cost of this merging and write amplification is a cost that we’d rather not pay. It not only reduces the consistency of Vector’s performance, but can cause issues with resource consumption as well.
As an example, we currently use a forked version of LevelDB because, by default, LevelDB might load up to 1000 files, via mmap, into a Vector process. Having to figure this out after a user experiences a confusing out-of-memory process crash is not fun for us or our users. As well, integrating LevelDB into Vector, is suboptimal on two fronts: integrating a C/C++ dependency involves multiple crates and build script tweaks for ensuring builds work on different platforms, and marrying the synchronous design of LevelDB with the asynchronous design of Vector is tricky at best.
In order to address these issues, and more, we’ve written a new disk buffer implementation that is better suited for Vector’s specific needs. At a high level, the new disk buffer implementation works more like an actual log – files being written once, and read sequentially – and not at all like a database. This means we perform no LevelDB-specific operations such as compaction, and in turn, we don’t pay the additional cost of doing so. Our design was built from the ground up to fit within Vector rather than having to be molded into something that would work. This has enabled the new disk buffer to provide more consistent throughput and latency, as well as memory and CPU consumption.
While we’re excited to have you try out the new disk buffer for your own workloads, it is still a beta feature: in general, there are no known issues, but you may encounter an issue that could cause data loss or cause Vector to become unresponsive. We’re working hard to continue testing and hardening the new disk buffer implementation for a planned stable release in 0.21.
With all of that said, we’re interested in users trying out the new disk buffer implementation and letting us know how it goes. Switching your configuration to use it is easy, but first, there are a few caveats you should know before using it:
- this is a beta release, which means data loss can and may occur
- existing buffer data is not automatically migrated
Given the constraints around trying out the new disk buffer implementation, users who already follow a stateless deployment model (not updating Vector instances in place, basically) will likely find it easiest to do. We’re planning work to allow Vector to automatically migrate buffers to the new implementation as part of the stable release in 0.21, which should alleviate the pains of switching for those who don’t utilize a stateless deployment process as mentioned above.
With all of that said, changing Vector to use the new disk buffer implementation is as simple as changing a single line:
# From this: [sinks.http] # ... buffer.type = "disk" # To this: [sinks.http] # ... buffer.type = "disk_v2"
We’re excited about the performance improvements to disk buffers, including future work to make them go even faster. If you have any feedback for us, whether it’s related to the new disk buffers or anything else, let us know on Discord or on Twitter.