Group queries in GraphQL (not "group by") - graphql

in my app there are many entities which get exposed by GraphQL. All that entities get Resolvers and those have many methods (I think they are called "fields" in GraphQl). Since there is only one Query type allowed, I get an "endless" list of fields which belong to many different contexts, i.E.:
query {
newsRss (...)
newsCurrent (...)
userById(...)
weatherCurrent (...)
weatherForecast(...)
# ... many more
}
As you can see, there are still 3 different contexts here: news, users and weather. Now I can go on and prefix all fields ([contextName]FieldName), as I did in the example, but the list gets longer and longer.
Is there a way to "group" some of them together, if they relate to the same context? Like so, in case of the weather context:
query {
weather {
current(...)
forecast(...)
}
}
Thanks in advance!

If you want to group them together , you need to have a type which contain all fields under the same context . Take weather as an example , you need to have a type which contain currentWeather and forecastWeather field. Does this concept make sense to your application such that you can name it easily and users will not feel strange about it ? If yes , you can change the schema to achieve your purpose.
On the other hand, if all fields of the same context actually return the same type but they just filtering different things, you can consider to define arguments in the root query field to specify the condition that you want to filter , something like :
query {
weather(type:CURRENT){}
}
and
query {
weather(type:FORECAST){}
}
to query the current weather and forecast weather respectively.
So it is a question about how you design the schema.

Related

Filtering a list of values by a field value in GraphQL

So I'm doing some tests with GraphQL, and I'm failing in doing something that I believe is fairly simple.
When going to the GraphQL demo site (https://graphql.org/swapi-graphql) I'm presented with a default query which goes like this:
{
allFilms {
films {
title,
director,
releaseDate
}
}
}
This works as expected and returns a list of films.
Now - I would like to modify this query to return only the films where the director is George Lucas, and for the life of me - I can't figure out how to do that.
I've tried using the where and filter expressions, and also change the second line to films: (director: "George Lucas") but keep getting error messages.
What's the correct syntax for doing that?
Thanks!
If you check the docs of the provided GraphQL schema, you'll see that this is not possible. Following is the definition of the allFilms field:
allFilms(
after: String
first: Int
before: String
last: Int
): FilmsConnection
As per the doc, it has 4 input arguments, which are after, first, before, and last. There is no way to filter this out using the director's name.
GraphQL is not SQL. You cannot use expressions like WHERE or FILTER in GraphQL. The schema is already defined and the filters are pre-defined too. If the schema does not allow you to filter values using a certain field, you just can't do it.
You can to see the graphql schema here https://github.com/graphql/swapi-graphql/blob/master/schema.graphql
The allFilms query does not contain a filter for the field director. Also i can't find other query with this filter.
Most likely you need to write a filter on the result of the query.

Perform graphQL query with result from another graphQL query [duplicate]

Hullo everyone,
This has been discussed a bit before, but it's one of those things where there is so much scattered discussion resulting in various proposed "hacks" that I'm having a hard time determining what I should do.
I would like to use the result of a query as an argument for another nested query.
query {
allStudents {
nodes {
courseAssessmentInfoByCourse(courseId: "2b0df865-d7c6-4c96-9f10-992cd409dedb") {
weightedMarkAverage
// getting result for specific course is easy enough
}
coursesByStudentCourseStudentIdAndCourseId {
nodes {
name
// would like to be able to do something like this
// to get a list of all the courses and their respective
// assessment infos
assessmentInfoByStudentId (studentId: student_node.studentId) {
weightedMarkAverage
}
}
}
}
}
}
Is there a way of doing this that is considered to be best practice?
Is there a standard way to do it built into GraphQL now?
Thanks for any help!
The only means to substitute values in a GraphQL document is through variables, and these must be declared in your operation definition and then included alongside your document as part of your request. There is no inherent way to reference previously resolved values within the same document.
If you get to a point where you think you need this functionality, it's generally a symptom of poor schema design in the first place. What follows are some suggestions for improving your schema, assuming you have control over that.
For example, minimally, you could eliminate the studentId argument on assessmentInfoByStudentId altogether. coursesByStudentCourseStudentIdAndCourseId is a field on the student node, so its resolver can already access the student's id. It can pass this information down to each course node, which can then be used by assessmentInfoByStudentId.
That said, you're probably better off totally rethinking how you've got your connections set up. I don't know what your underlying storage layer looks like, or the shape your client needs the data to be in, so it's hard to make any specific recommendations. However, for the sake of example, let's assume we have three types -- Course, Student and AssessmentInfo. A Course has many Students, a Student has many Courses, and an AssessmentInfo has a single Student and a single Course.
We might expose all three entities as root level queries:
query {
allStudents {
# fields
}
allCourses {
# fields
}
allAssessmentInfos {
# fields
}
}
Each node could have a connection to the other two types:
query {
allStudents {
courses {
edges {
node {
id
}
}
}
assessmentInfos {
edges {
node {
id
}
}
}
}
}
If we want to fetch all students, and for each student know what courses s/he is taking and his/her weighted mark average for that course, we can then write a query like:
query {
allStudents {
assessmentInfos {
edges {
node {
id
course {
id
name
}
}
}
}
}
}
Again, this exact schema might not work for your specific use case but it should give you an idea around how you can approach your problem from a different angle. A couple more tips when designing a schema:
Add filter arguments on connection fields, instead of creating separate fields for each scenario you need to cover. A single courses field on a Student type can have a variety of arguments like semester, campus or isPassing -- this is cleaner and more flexible than creating different fields like coursesBySemester, coursesByCampus, etc.
If you're dealing with aggregate values like average, min, max, etc. it might make sense to expose those values as fields on each connection type, in the same way a count field is sometimes available alongside the nodes field. There's a (proposal)[https://github.com/prisma/prisma/issues/1312] for Prisma that illustrates one fairly neat way to do handle these aggregate values. Doing something like this would mean if you already have, for example, an Assessment type, a connection field might be sufficient to expose aggregate data about that type (like grade averages) without needing to expose a separate AssessmentInfo type.
Filtering is relatively straightforward, grouping is a bit tougher. If you do find that you need the nodes of a connection grouped by a particular field, again this may be best done by exposing an additional field on the connection itself, (like Gatsby does it)[https://www.gatsbyjs.org/docs/graphql-reference/#group].

Elasticsearch query not returning expected results for multiple should filters

I am performing an Elasticsearch query using the high-level-rest-api for Java and expect to see records that are either active or do not have a reference id. I'm querying by name for the records and if I hit the index directly with /_search?q=, I see the results I want.
Is my logic correct (pseudo-code):
postFilters.MUST {
Should {
MustNotExist {referenceId}
Must {status = Active}
}
Should {
MustNotExist {referenceId}
Must {type = Person}
}
}
What I get are records that are active with a reference id. But, I want to include records that also do not have a referenceId, hence why I have MustNotExist {referenceId}.
For simplicity, the second Should clause can be dropped (for testing) as the first one is not working as expected by itself.
In my case, I had to use a match query instead of a term query because the value I was querying for was not a primitive or a String. For example, the part where Must, type = Person, Person was an enum, and so looking for "Person" was not quite right, whereas match allowed it to "match".

Use Query Result as Argument in Next Level in GraphQL

Hullo everyone,
This has been discussed a bit before, but it's one of those things where there is so much scattered discussion resulting in various proposed "hacks" that I'm having a hard time determining what I should do.
I would like to use the result of a query as an argument for another nested query.
query {
allStudents {
nodes {
courseAssessmentInfoByCourse(courseId: "2b0df865-d7c6-4c96-9f10-992cd409dedb") {
weightedMarkAverage
// getting result for specific course is easy enough
}
coursesByStudentCourseStudentIdAndCourseId {
nodes {
name
// would like to be able to do something like this
// to get a list of all the courses and their respective
// assessment infos
assessmentInfoByStudentId (studentId: student_node.studentId) {
weightedMarkAverage
}
}
}
}
}
}
Is there a way of doing this that is considered to be best practice?
Is there a standard way to do it built into GraphQL now?
Thanks for any help!
The only means to substitute values in a GraphQL document is through variables, and these must be declared in your operation definition and then included alongside your document as part of your request. There is no inherent way to reference previously resolved values within the same document.
If you get to a point where you think you need this functionality, it's generally a symptom of poor schema design in the first place. What follows are some suggestions for improving your schema, assuming you have control over that.
For example, minimally, you could eliminate the studentId argument on assessmentInfoByStudentId altogether. coursesByStudentCourseStudentIdAndCourseId is a field on the student node, so its resolver can already access the student's id. It can pass this information down to each course node, which can then be used by assessmentInfoByStudentId.
That said, you're probably better off totally rethinking how you've got your connections set up. I don't know what your underlying storage layer looks like, or the shape your client needs the data to be in, so it's hard to make any specific recommendations. However, for the sake of example, let's assume we have three types -- Course, Student and AssessmentInfo. A Course has many Students, a Student has many Courses, and an AssessmentInfo has a single Student and a single Course.
We might expose all three entities as root level queries:
query {
allStudents {
# fields
}
allCourses {
# fields
}
allAssessmentInfos {
# fields
}
}
Each node could have a connection to the other two types:
query {
allStudents {
courses {
edges {
node {
id
}
}
}
assessmentInfos {
edges {
node {
id
}
}
}
}
}
If we want to fetch all students, and for each student know what courses s/he is taking and his/her weighted mark average for that course, we can then write a query like:
query {
allStudents {
assessmentInfos {
edges {
node {
id
course {
id
name
}
}
}
}
}
}
Again, this exact schema might not work for your specific use case but it should give you an idea around how you can approach your problem from a different angle. A couple more tips when designing a schema:
Add filter arguments on connection fields, instead of creating separate fields for each scenario you need to cover. A single courses field on a Student type can have a variety of arguments like semester, campus or isPassing -- this is cleaner and more flexible than creating different fields like coursesBySemester, coursesByCampus, etc.
If you're dealing with aggregate values like average, min, max, etc. it might make sense to expose those values as fields on each connection type, in the same way a count field is sometimes available alongside the nodes field. There's a (proposal)[https://github.com/prisma/prisma/issues/1312] for Prisma that illustrates one fairly neat way to do handle these aggregate values. Doing something like this would mean if you already have, for example, an Assessment type, a connection field might be sufficient to expose aggregate data about that type (like grade averages) without needing to expose a separate AssessmentInfo type.
Filtering is relatively straightforward, grouping is a bit tougher. If you do find that you need the nodes of a connection grouped by a particular field, again this may be best done by exposing an additional field on the connection itself, (like Gatsby does it)[https://www.gatsbyjs.org/docs/graphql-reference/#group].

Spring Data Mongodb - findBy query with OR clause on same field

I'm working on mongo with spring data and using the query "findBy" based on property fields.
My goal will be find same value across multiple properties by OR clause like this:
List<Event> findByCreatorOrOrganizersOrGuests(User user);
this query involves 3 properties: "creator", "organizers" and "guests" that are a single value (creator) and 2 lists (organizers and guests) that contains the same class type (User)
at compile time I receive this error:
org.springframework.data.repository.query.ParameterOutOfBoundsException: Invalid parameter index! You seem to have declare too little query method parameters!
Do I need to repeat the same parameter 3 times? There's no workaround?
thanks
The using of Mongo queries for lists are not so efficient even if you define it with an index.
Another important thing is that the query:
List<Event> findByCreatorOrOrganizersOrGuests(User user);
includes some syntax errors (The MongoDB expects to get 3 parameters as variables int the ( ) relatively to the findBy keys, the return value should be inserted into a list object, and I am not sure that the Or in the find query is legal syntax.
As a concept the DB documents should have a good ability to be searched, cause it is the most expensive action.
When find using OR in MongoDB the direct query should looks like that:
def events = find({ $or: [ { user.username: { $lt: 20 } }, { price: 10 } ] } )
While searching in a list this is should be different, so please follow the links I attached.
When I try to think of the use you are looking for, I would suggest a different aspect. If the events is what interest you please read about the AbstractPersistenceEventListener. By define the appropriate
void onPostInsert(entity) {}
void onPostUpdate(entity) {}
void onPostDelete(entity) {}
You get all the events for each of the objects you want to listen to.
Here are 2 a great examples:
Example 1
Example 2

Resources