Entity schema
Checkpoint requires a set of defined GraphQL Schema Objects. The schema objects will be used to create a database structure for indexing this data and also generating GraphQL Queries for accessing the indexed data.
In Checkpoint terms, these schema objects are called Entities, an Entity can be defined as a GraphQL Object with a unique name and an id field.
For example:
""" Vote is a valid entity """
type Vote {
id: String!
voter: String
space: String
proposal: Int
choice: Int
vp: Int
created: Int
type User {
id: String!
vote_count: Int
created: Int
Vote and User are valid entities because their names are unique (within the schema) and contain an id field.

Query generation

Checkpoint generates two Query fields for each of the defined entities. One for querying a single entity record by its id and the second for querying multiple records of an entity.
For example, using the earlier defined User entity, Checkpoint will generate two query fields like:
type Query {
user(id: ID): User
first: Int
skip: Int
orderBy: String
orderDirection: OrderDirection
where: WhereUser
): [User]
type WhereUser {
id: String
id_in: [String]
vote_count_gt: Int
vote_count_gte: Int
vote_count_lt: Int
vote_count_lte: Int
vote_count: Int
vote_count_in: [Int]
created_gt: Int
created_gte: Int
created_lt: Int
created_lte: Int
created: Int
created_in: [Int]
Things to note:
  • The name of the single record entity query is derived from the entity's name lowercased.
  • The name of the multi-record entity query is derived from the entity's name lowercased with an s suffix.
  • The generated Where* types fields for multi-record are derived based on original fields in the entity, and non-null values are treated a AND where filters when being executed against the database.
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