---
title: Turborepo v0.4.0
date: 2021/04/02
description: Turborepo v0.4.0 introduces 10x faster hashing, pruned workspaces with sparse installs, a new pipeline configuration API, and improved cache control.
tag: web development
author: Jared Palmer
type: post
---

I'm excited to announce the release of Turborepo v0.4.0!

- **10x faster**: `turbo` has been rewritten from the ground up in Go to make it even more blazing fast
- **Smarter hashing**: Improved hashing algorithm now considers resolved dependencies instead of just the contents of the entire root lockfile
- **Partial lockfiles / sparse installs**: Generate a pruned subset of your root lockfile and monorepo that includes only the necessary packages needed for a given target
- **Fine-grained scheduling**: Improved task orchestration and options via `pipeline` configuration
- **Better cache control**: You can now specify cache outputs on a per-task basis

## Rewritten in Go

Although I initially prototyped turbo in TypeScript, it became clear that certain items on the roadmap would require better performance. After around a month or so of work, I'm excited to finally release Go version of the `turbo` CLI. Not only does it boot in a milliseconds, but the new Go implementation is somewhere between 10x and 100x faster at hashing than the Node.js implementation. With this new foundation (and some features you're about to read about), Turborepo can now scale to intergalactic sized projects while remaining blazing fast all thanks to Go's awesome concurrency controls.

## Better Hashing

Not only is hashing faster in v0.4.0, but also _a lot_ smarter.

The major change is that `turbo` no longer includes the hash of the contents of the root lockfile in its hasher (the algorithm responsible for determining if a given task exists in the cache or needs to be executed). Instead, `turbo` now hashes the set of the resolved versions of a package's `dependencies` and `devDependencies` based on the root lockfile.

The old behavior would explode the cache whenever the root lockfile changed in any way. With this new behavior, changing the lockfile will only bust the cache for those package's impacted by the added/changed/removed dependencies. While this sounds complicated, again all it means is that when you install/remove/update dependencies from NPM, only those packages that are actually impacted by the changes will need to be rebuilt.

## Experimental: Pruned Workspaces

One of our biggest customer pain points/requests has been improving Docker build times when working with large Yarn Workspaces (or really any workspace implementation). The core issue is that workspaces' best feature--reducing your monorepo to a single lockfile--is also its worst when it comes to Docker layer caching.

To help articulate the problem and how `turbo` now solves it, let's look at an example.

Say we have a monorepo with Yarn workspaces that includes a set of packages called `frontend`, `admin`, `ui`, and `backend`. Let's also assume that `frontend` and `admin` are Next.js applications that both depend on the same internal React component library package `ui`. Now let's also say that `backend` contains an Express TypeScript REST API that doesn't really share much code with any other part of our monorepo.

Here's what the Dockerfile for the `frontend` Next.js app might look like:

```docker highlight="7"
FROM node:alpine AS base
RUN apk update
WORKDIR /app

# Add lockfile and package.jsons
FROM base AS builder
COPY *.json yarn.lock ./
COPY packages/ui/*.json ./packages/ui/
COPY packages/frontend/*.json ./packages/frontend/
RUN yarn install

# Copy source files
COPY packages/ui/ ./packages/ui/
COPY packages/frontend/ ./packages/frontend/

# Build
RUN yarn --cwd=packages/ui/ build
RUN yarn --cwd=packages/frontend/ build

# Start the Frontend Next.js application
EXPOSE 3000
RUN ['yarn', '--cwd', 'packages/frontend', 'start']
```

While this works, there are some things that could be a lot better:

- You manually `COPY` in the internal packages and files needed to build the target app and need to remember which need to be built first.
- You `COPY` the root `yarn.lock` lockfile into the correct position very early in the Dockerfile, but this lockfile is the lockfile for the _entire_ monorepo.

This last issue is especially painful as your monorepo gets larger and larger because any change to this lockfile triggers a nearly full rebuild regardless of whether or not the app is actually impacted by the new/changed dependencies.

....until now.

With the all new `turbo prune` command, you can now fix this nightmare by deterministically generating a sparse/partial monorepo with a pruned lockfile for a target package--without installing your `node_modules`.

Let's look at how to use `turbo prune` inside of Docker.

```docker highlight="11,16"
FROM node:alpine AS base
RUN apk update && apk add git

## Globally install turbo
RUN npm i -g turbo

# Prune the workspace for the `frontend` app
FROM base as pruner
COPY .git ./.git
COPY . .
RUN turbo prune --scope=frontend

# Add pruned lockfile and package.json's of the pruned subworkspace
FROM pruner AS installer
COPY --from=builder /app/out/json/ .
COPY --from=builder /app/out/yarn.lock ./yarn.lock
# Install only the deps needed to build the target
RUN yarn install

# Copy source code of pruned subworkspace and build
FROM installer as builder
WORKDIR /app
COPY --from=pruner .git ./.git
COPY --from=installer /app/ .
COPY --from=builder /app/out/full/ .
RUN turbo run build --scope=frontend

# Start the app
FROM builder as runner
EXPOSE 3000
RUN ['yarn', '--cwd', 'packages/frontend', 'start']
```

So what exactly is the output of the `turbo prune`? A folder called `out` with the following inside of it:

- A folder `json` with the pruned workspace's package.jsons
- A folder `full` with the pruned workspace's full source code, but only including the internal packages that are needed to build the target
- A _new_ pruned lockfile that only contains the pruned subset of the original root lockfile with the dependencies that are actually used by the packages in the pruned workspace.

Thanks to the above, Docker can now be set up to only rebuild each application when there is a real reason to do so. So `frontend` will only rebuild when its source or dependencies (either internal or from NPM) have actually changed. Same same for `admin` and `backend`. Changes to `ui`, either to its source code or dependencies, will trigger rebuilds of both `frontend` and `admin`, but _not_ `backend`.

While this example seems trivial, just imagine if each app takes up to 20 minutes to build and deploy. These savings really start to add up quickly, especially on large teams.

## Pipelines

To give you even more control over your Turborepo, we've added `pipeline` to `turbo`'s configuration. This new field in lets you specify how the NPM scripts in your monorepo relate to each other as well as some additional per-task options. `turbo` then uses this information to optimally schedule your tasks in your monorepo, collapsing waterfalls that would otherwise exist.

Here's how it works:

```json
// <root>/package.json
{
  "turbo": {
    "pipeline": {
      "build": {
         // This `^` tells turbo that this pipeline target relies on a topological target being completed.
        // In english, this reads as: "this package's `build` command depends on its dependencies' or
        // devDependencies' `build` command being completed"
        "dependsOn": ["^build"]
      },
      "test": {
        //  `dependsOn` without `^` can be used to express the relationships between tasks at the package level.
        // In English, this reads as: "this package's `test` command depends on its `lint` and `build` command first being completed"
        "dependsOn": ["lint", "build"]
      },
       "lint": {},
       "dev": {},

    }
  }
}
```

The above config would then be interpreted by `turbo` to optimally schedule execution.

What's that actually mean? In the past (like Lerna and Nx), `turbo` could only run tasks in topological order. With the addition of pipelines, `turbo` now constructs a topological "action" graph in addition to the actual dependency graph which it uses to determine the order in which tasks should be executed with maximum concurrency. The end result is that you no longer waste idle CPU time waiting around for stuff to finish (i.e. no more waterfalls).

![Turborepo scheduler](https://images.ctfassets.net/cthugtr3knc8/13nXE2X372pP1aougbSsR6/d3601f6f25e3ff87977e996b1ec76bb5/turbo-vs-lerna-execution.png)

## Improved Cache Control

Thanks to `pipeline`, we now have a great place to open up `turbo`'s cache behavior on a per-task basis.

Building on the example from above, you can now set cache output conventions across your entire monorepo like so:

```json
// <root>/package.json
{
  "turbo": {
    "pipeline": {
      "build": {
        // Cache anything in dist or .next directories emitted by a `build` command
        "outputs": ["dist/**", ".next/**"]
        "dependsOn": ["^build"]
      },
      "test": {
        // Cache the test coverage report
        "outputs": ["coverage/**"],
        "dependsOn": ["lint", "build"]
      },
       "dev": {
        // Never cache the `dev` command
        "cache": false
       },
       "lint": {},
    }
  }
}
```

_Note: Right now, `pipeline` exists at the project level,
but in later releases these will be overridable on per-package basis._

## What's Next?

I know this was a lot, but there's even more to come. Here's what's up next on the Turborepo roadmap.

- A landing page!
- [Remote caching w/ `@turborepo/server`](https://twitter.com/jaredpalmer/status/1359627800840462341?s=20)
- Build scans, telemetry, and metrics and dependency and task graph visualization
- [Desktop Console UI](https://twitter.com/jaredpalmer/status/1360315387372572672?s=20)
- Intelligent `watch` mode
- Official build rules for Typescript, React, Jest, Node.js, Docker, Kubernetes, and more

## Credits

- [Iheanyi Ekechukwu](https://twitter.com/kwuchu "Iheanyi Ekechukwu Twitter") for guiding me through the Go ecosystem
- [Miguel Oller](https://twitter.com/ollermi) and the team from [Makeswift](http://makeswift.com/) for iterating on the new `prune` command
