Fast Parallel Testing at Databricks with Bazel
The Databricks Developer Tools team recently completed a project to greatly speed up the pull-request (PR) validation workflows for many of our engineers: by massively parallelizing our tests, validation runs that previously took ~3 hours now complete in ~40 minutes. This blog post will dive into how we leveraged the Bazel build tool to achieve...
Speedy Scala Builds with Bazel at Databricks
Databricks migrated over from the standard Scala Build Tool (SBT) to using Bazel to build, test and deploy our Scala code. Through improvements in our build infrastructure, Scala compilation workflows that previously took minutes to tens of minutes now complete in seconds. This post will walk you through the improvements we made to achieve that,...
Writing a Faster Jsonnet Compiler
This blog post is part of our series of internal engineering blogs on the Databricks platform, infrastructure management, integration, tooling, monitoring, and provisioning. See our previous post on Declarative Infrastructure for background on some of the technologies discussed here. At Databricks, we use the Jsonnet data templating language to declaratively manage configurations for services running...
