Optimizing Operations Using Relay Compiler
@graphql-tools/relay-operation-optimizer
is a package for bringing the benefits of Relay Compiler
to GraphQL tools. This package is used in
flattenGeneratedTypes
feature of GraphQL Code Generator.
This package has been created by Laurin Quast (n1ru4l) as a GraphQL Code Generator plugin.
Current List of Features
- Optimize Queries TL;DR: reduce query
size
- Inline Fragments
- Flatten Transform
- Skip Redundant Node Transform
- FragmentArguments
Installation
npm i @graphql-tools/relay-operation-optimizer
Usage
Taken from the blog post Optimizing your Apollo Operations with GraphQL Code Generator and the Relay Compiler.
Let’s take a look at the following Fragment:
fragment UserAvatar on User {
id
avatar(width: 10, height: 10) {
id
url
}
}
How would you reuse this fragment with different values for the width
and height
arguments?
Previously there have been two ways:
1. Write a new fragment with different parameters
Well, just creating a new document for our avatar won’t really the reusability issue.
2. Use variables and rely on the query to have those defined
Actually, you can already use variables inside fragments. We just need to ensure that the query that uses the fragment also has those variables in the variable definition.
fragment UserAvatar on User {
id
avatar(width: $width, height: $height) {
id
url
}
}
query ProfileQuery($width: Int!, $height: Int!) {
me {
...UserAvatar
}
}
However, we now rely on having those parameters provided in each query that uses that fragment.
This does not make the fragment reusable. Imagine having a profile query with a friend list. The profile picture should be bigger than the ones of the friends.
query ProfileQuery($width: Int!, $height: Int!) {
me {
id
...UserAvatar
friends(first: 10) {
id
...UserAvatar
}
}
}
It is basically impossible to use a different width and height for the second usage of the fragment in that query.
Furthermore, when using different fragments you have to be careful with your variable names, because of variable name clashes.
Given those limitations, it is pretty obvious that this “solution” does not scale well.
Relay simply uses custom GraphQL directives to address this issue.
Defining Fragment Variables with @argumentDefinitions
:
fragment UserAvatar on User @argumentDefinitions(
width: { type: “Int”, defaultValue: 10 },
height: { type: “Int”, defaultValue: 10 }
) {
id
avatar(width: $width, height: $height) {
id
url
}
}
Providing Fragment Variables with @arguments
:
query ProfileQuery {
me {
id
...UserAvatar @arguments(height: 20, width: 20)
friends(first: 10) {
id
...UserAvatar # fallback to defaultValue here
}
}
}
Pretty powerful, right?
Unfortunately, you cannot simply use those fragments with your existing GraphQL Server.
@argumentDefinitions
and @arguments
are some custom directives that need to be understood by the
server in order to process them.
However, instead of implementing those directives on the serverside Relay went another route. The
relay-compiler
removes those directives at build time. That means after our query has been
processed it looks something like the following:
query ProfileQuery {
me {
id
... on User {
id
avatar(width: 20, height: 20) {
id
url
}
}
friends(first: 10) {
id
... on User {
id
avatar(width: 10, height: 10) {
id
url
}
}
}
}
}
Pretty neat. This allows the query to be accepted by every GraphQL server (that, of course, provides the correct schema), without relying on those custom directives.
relay-compiler
is awesome!It comes with a lot more transforms. Some of those are specific to the relay-runtime
(which as the
name says is executed in the browser of the user like react-apollo), but others are also beneficial
to non-relay users.
Besides the so-called RelayApplyFragmentArgumentTransform
there is a bunch of more useful stuff.
E.g. the FlattenTransform
can improve our query even more:
query ProfileQuery {
me {
id
avatar(width: 20, height: 20) {
id
url
}
friends(first: 10) {
id
avatar(width: 10, height: 10) {
id
url
}
}
}
}
Laurin Quast also built a relay-compiler REPL (use it for convincing your team 😉).
Of course, you can also read more about those in the Official Relay Documentation.
Especially on big queries, that utilize many fragments, those transforms can drastically reduce the query payload size, resulting in faster response times. For developers that cannot use persisted queries (because they do not own the server), this is a must-have!