I'm trying to figure out how I can retrieve properties which are deeply nested in AppSync. I currently have defined the dailyEnergyUsage to retrieve these levels in a lambda resolver.
Consider the following schema I'm currently using:
query SomeQuery {
me {
energy {
dailyEnergyUsage { // The resolver function is only attached to the following type
...
}
}
}
}
The me top level query/object is supposed to group authenticated queries altogether and the energy does the same but then for the related functions related to energy usage etc.
DailyEnergyUsageResolver:
Type: "AWS::AppSync::Resolver"
Properties:
ApiId: !GetAtt AppSyncApi.ApiId
FieldName: "dailyEnergyUsage"
TypeName: "Energy"
DataSourceName: !GetAtt "DailyEnergyUsageDataSource.Name"
Currently I only have the DailyEnergyUsageResolver to retrieve the energy usage which works fine if I don't have the grouping in between. But now I wanted to introduce this kind of grouping and was expecting that this would be automatically handled by AppSync but unfortunately doesn't work and returns null at the me field.
type Query {
me: AuthenticatedQuery
}
type AuthenticatedQuery {
energy: Energy
}
type Energy {
dailyEnergyUsage: [DataPoint]
}
Now my question is how can I get the grouping working within AppSync using direct Lambda resolvers or Lambda as data source?
I've tried to check the documentation of AWS and checked this Stackoverflow thread but I don't know if it is the solution and how to get it to working.
Related
Please consider the following GraphQL schema:
type User {
id: ID!
events: [Event]
}
type Event {
id: ID!
user: User!
asset: Asset!
}
type Asset {
id: ID
price: Number!
name: String!
}
GraphQL is a fantastic framework for fetching nested objects, but I'm struggling to understand how conditional nesting is implemented.
Example:
I want to retrieve all events for a specific user where asset.price is greater than x.
Or
I want to retrieve all events for an asset that belongs to a list of users [].
Question: Is conditional nesting a concept in GraphQL and how is it implemented?
Side note: I use AWS AppSync and resolvers are fetching data from AWS DynamoDB.
You can define a filter/condition on any GraphQL query such as:
query {
users(permission: 'ADMIN') {
...
}
}
The permission param is passed to your resolver (say DynamoDb VTL template, Lambda etc) to be handled however you want - to GQL this is just another parameter.
You can carry this concept into nested field by creating an events resolver and you'd then call it like this:
query {
user(id: '123') {
name
events(minPrice: 200) {
nodes: {
id
eventName
eventDate
}
}
dob
...
}
}
In above case I am using a simple minPrice param but you could do more complex things such price ranges, even pass operators (eq, gt, ...). It's all irrelevant to GraphQL - all gets passed to the resolver.
How you implement that on backend depends on your setup. I use AppSync without Amplify and write my own VTL templates and build the DynamoDb request using the provided GQL fields.
Here is an SO post that shows how to create a date filter.
I have written a GraphQL query which like the one below:
{
posts {
author {
comments
}
comments
}
}
I want to know how can I get the details about the requested child fields inside the posts resolver.
I want to do it to avoid nested calls of resolvers. I am using ApolloServer's DataSource API.
I can change the API server to get all the data at once.
I am using ApolloServer 2.0 and any other ways of avoiding nested calls are also welcome.
You'll need to parse the info object that's passed to the resolver as its fourth parameter. This is the type for the object:
type GraphQLResolveInfo = {
fieldName: string,
fieldNodes: Array<Field>,
returnType: GraphQLOutputType,
parentType: GraphQLCompositeType,
schema: GraphQLSchema,
fragments: { [fragmentName: string]: FragmentDefinition },
rootValue: any,
operation: OperationDefinition,
variableValues: { [variableName: string]: any },
}
You could transverse the AST of the field yourself, but you're probably better off using an existing library. I'd recommend graphql-parse-resolve-info. There's a number of other libraries out there, but graphql-parse-resolve-info is a pretty complete solution and is actually used under the hood by postgraphile. Example usage:
posts: (parent, args, context, info) => {
const parsedResolveInfo = parseResolveInfo(info)
console.log(parsedResolveInfo)
}
This will log an object along these lines:
{
alias: 'posts',
name: 'posts',
args: {},
fieldsByTypeName: {
Post: {
author: {
alias: 'author',
name: 'author',
args: {},
fieldsByTypeName: ...
}
comments: {
alias: 'comments',
name: 'comments',
args: {},
fieldsByTypeName: ...
}
}
}
}
You can walk through the resulting object and construct your SQL query (or set of API requests, or whatever) accordingly.
Here, are couple main points that you can use to optimize your queries for performance.
In your example there would be great help to use
https://github.com/facebook/dataloader. If you load comments in your
resolvers through data loader you will ensure that these are called
just once. This will reduce the number of calls to database
significantly as in your query is demonstrated N+1 problem.
I am not sure what exact information you need to obtain in posts
ahead of time, but if you know the post ids you can consider to do a
"look ahead" by passing already known ids into comments. This will
ensure that you do not need to wait for posts and you will avoid
graphql tree calls and you can do resolution of comments without
waiting for posts. This is great article for optimizing GraphQL
waterfall requests and might you give good idea how to optimize your
queries with data loader and do look ahead
https://blog.apollographql.com/optimizing-your-graphql-request-waterfalls-7c3f3360b051
For a mutation addVoucher there are a limited list of potential errors that can occur.
Voucher code invalid
Voucher has expired
Voucher has already been redeemed
At the moment I'm throwing a custom error when one of these occurs.
// On the server:
const addVoucherResolver = () => {
if(checkIfInvalid) {
throw new Error('Voucher code invalid')
}
return {
// data
}
}
Then on the client I search the message description so I can alert the user. However this feels brittle and also the GraphQL API doesn't automatically document the potential errors. Is there a way to define the potential errors in the GraphQL schema?
Currently my schema looks like this:
type Mutation {
addVoucherResolver(id: ID!): Order
}
type Order {
cost: Int!
}
It would be nice to be able to do something like this:
type Mutation {
addVoucherResolver(id: ID!): Order || VoucherError
}
type Order {
cost: Int!
}
enum ErrorType {
INVALID
EXPIRED
REDEEMED
}
type VoucherError {
status: ErrorType!
}
Then anyone consuming the API would know all the potential errors. This feels like a standard requirement to me but from reading up there doesn't seem to be a standardises GraphQL approach.
It's possible to use a Union or Interface to do what you're trying to accomplish:
type Mutation {
addVoucher(id: ID!): AddVoucherPayload
}
union AddVoucherPayload = Order | VoucherError
You're right that there isn't a standardized way to handle user-visible errors. With certain implementations, like apollo-server, it is possible to expose additional properties on the errors returned in the response, as described here. This does make parsing the errors easier, but is still not ideal.
A "Payload" pattern has emerged fairly recently for handling these errors as part of the schema. You see can see it in public API's like Shopify's. Instead of a Union like in the example above, we just utilize an Object Type:
type Mutation {
addVoucher(id: ID!): AddVoucherPayload
otherMutation: OtherMutationPayload
}
type AddVoucherPayload {
order: Order
errors: [Error!]!
}
type OtherMutationPayload {
something: Something
errors: [Error!]!
}
type Error {
message: String!
code: ErrorCode! # or a String if you like
}
enum ErrorCode {
INVALID_VOUCHER
EXPIRED_VOUCHER
REDEEMED_VOUCHER
# etc
}
Some implementations add a status or success field as well, although I find that making the actual data field (order is our example) nullable and then returning null when the mutation fails is also sufficient. We can even take this one step further and add an interface to help ensure consistency across our payload types:
interface Payload {
errors: [Error!]!
}
Of course, if you want to be more granular and distinguish between different types of errors to better document which mutation can return what set of errors, you won't be able to use an interface.
I've had success with this sort of approach, as it not only documents possible errors, but also makes it easier for clients to deal with them. It also means that any other errors that are returned with a response should serve as an immediately red flag that something has gone wrong with either the client or the server. YMMV.
You can use scalar type present in graphql
just write scalar JSON and return any JSON type where you want to return it.
`
scalar JSON
type Response {
status: Boolean
message: String
data: [JSON]
}
`
Here is Mutation which return Response
`
type Mutation {
addVoucherResolver(id: ID!): Response
}
`
You can return from resolver
return {
status: false,
message: 'Voucher code invalid(or any error based on condition)',
data: null
}
or
return {
status: true,
message: 'Order fetch successfully.',
data: [{
object of order
}]
}
on Front end you can use status key to identify response is fetch or error occurs.
I've a graphql-jave v8.0 app running on Spring boot v1.5.10, and I'm trying to utilize 'fragment' feature of GraphQL to fetch limited number of fields with the following schema type definition:
type School {
id: ID
name: String
address: String
age: String
jobTitle: String
...
}
fragment UserFields on School {
age
jobTitle
}
type Query {
user (id: String!): School!
}
schema {
query: Query
}
When I execute this query:
{
user (id: "123")
{
... UserFields
}
}
The expected result should be:
{
"user": {
"age": "12",
"jobTitle": "student"
}
}
However, It results in the following error
"message": "Validation error of type UndefinedFragment: Undefined fragment
UserFields # 'user'",
Off course I can do this with explicitly passing the field name in the query but for the sake of example, I'm interested in utilizing fragment feature of GraphQL.
Any idea what I'm doing wrong please?
Fragments aren't defined in the schema, they're something for letting you create abstractions whilst building complex queries -- the main purpose is to allow you to avoid repetition when querying the same type in multiple parts of your query.
As Andrew said, and as the official docs exemplify, fragments are not defined in the schema but (ad hoc) in the query:
{
user (id: "123") {
... UserFields
}
}
fragment UserFields on School {
age
jobTitle
}
Unconditional fragments (like the one here) are used to avoid repetition. Imagine having multiple places where you want to select age and jobTitle in the same operation.
Conditional fragments, on the other hand, are used to make a conditional selection depending on the concrete interface implementation or union subtype.
Good day im newbie here and im tackling graphql and im having some problem on mutation can someone explain this block of code for me thank you
RootMutation: {
createAuthor: (root, args) => { return Author.create(args); },
createPost: (root, { authorId, tags, title, text }) => {
return Author.findOne({ where: { id: authorId } }).then( (author) => {
console.log('found', author);
return author.createPost( { tags: tags.join(','), title, text });
});
},
},
Sure, this is an example of two mutations in a GraphQL server. We can break it down to understand what is going on.
First let's look at the type system. A GraphQL schema normally has two root fields query and mutation (and sometimes subscription). These root fields are the root of your data hierarchy and expose the queries (GET requests) and mutations (POST, PUT, DELETE, etc requests) that you have access to.
By the looks of it you are implementing a schema with a root mutation type that looks like this:
type Mutation {
createAuthor: Author
createPost: Post
}
A type in GraphQL is made up of a set of fields each of which can have an associated resolver. Resolvers in GraphQL are like the event handlers you would attach to endpoints in REST.
The code that you have above is defining two resolvers that will handle the logic associated with the createAuthor and createPost mutations. I.E. the code in the createPost resolver is what will be run when I issue a query like this:
mutation CreatePost($post: CreatePostInput!) {
createPost(input: $post) {
id
title
tags
text
}
}
The GraphQL runtime parses the query and routes the operation to the correct resolver depending on the content of the query. In this example, it would see that I am calling the createPost mutation and would make sure to call the createPost resolver which in your case looks like this:
createPost: (root, { authorId, tags, title, text }) => {
return Author.findOne({ where: { id: authorId } }).then( (author) => {
console.log('found', author);
return author.createPost( { tags: tags.join(','), title, text });
});
},
To understand how a resolver works, let's look at the GraphQLFieldResovler type definition from graphql-js
export type GraphQLFieldResolver<TSource, TContext> = (
source: TSource,
args: { [argName: string]: any },
context: TContext,
info: GraphQLResolveInfo
) => mixed;
As you can see a GraphQLFieldResolver is a function that takes 4 arguments.
source: The source is the parent object of the current field. For example if you were defining a resolver for a field fullName on the User type, the source would be the full user object.
args: The args are any input arguments for that resolver. In my query above it would contain the value of the $post variable.
context: Context is a global context for a GraphQL execution. This is useful for passing information around that a resolver might need. For example, you include a database connection that you can use from your resolvers without importing it in every file.
info: The info object contains information about your GraphQL schema, the query, and other information such as the path to the current resolver being executed. This is useful in many ways. Here is one post talking about how you can use it to precompute queries: (https://scaphold.io/community/blog/querying-relational-data-with-graphql/)
This idea of having types and field resolvers is part of what makes GraphQL so powerful. Once you've defined you type system and the resolvers for their fields you can structure your schema however you want and GraphQL will always make sure to call the correct resolver no matter how deeply nested a query might be.
I hope this helps :)