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    "info": {
        "author": "Michael Williamson",
        "author_email": "mike@zwobble.org",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
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        "description": "GraphJoiner: Implementing GraphQL with joins\n============================================\n\nIn the reference GraphQL implementation, resolve functions describe how to\nfulfil some part of the requested data for each instance of an object.\nIf implemented naively with a SQL backend, this results in the N+1 problem.\nFor instance, given the query:\n\n::\n\n    {\n        books(genre: \"comedy\") {\n            title\n            author {\n                name\n            }\n        }\n    }\n\nA naive GraphQL implementation would issue one SQL query to get the list of all\nbooks in the comedy genre, and then N queries to get the author of each book\n(where N is the number of books returned by the first query).\n\nThere are various solutions proposed to this problem: GraphJoiner suggests that\nusing joins is a natural fit for many use cases. For this specific case, we only\nneed to run two queries: one to find the list of all books in the comedy genre,\nand one to get the authors of books in the comedy genre.\n\nExample\n-------\n\nLet's say we have some models defined by SQLAlchemy. A book has an ID, a title,\na genre and an author ID. An author has an ID and a name.\n\n.. code-block:: python\n\n    from sqlalchemy import Column, Integer, Unicode, ForeignKey\n    from sqlalchemy.ext.declarative import declarative_base\n\n    Base = declarative_base()\n\n    class Author(Base):\n        __tablename__ = \"author\"\n\n        id = Column(Integer, primary_key=True)\n        name = Column(Unicode, nullable=False)\n\n    class Book(Base):\n        __tablename__ = \"book\"\n\n        id = Column(Integer, primary_key=True)\n        title = Column(Unicode, nullable=False)\n        genre = Column(Unicode, nullable=False)\n        author_id = Column(Integer, ForeignKey(Author.id))\n\nWe then define object types for the root, books and authors:\n\n.. code-block:: python\n\n    from graphql import GraphQLInt, GraphQLString, GraphQLArgument\n    from graphjoiner import JoinType, RootJoinType, single, many, field\n    from sqlalchemy.orm import Query\n\n    def create_root():\n        def fields():\n            return {\n                \"books\": many(\n                    book_join_type,\n                    books_query,\n                    args={\"genre\": GraphQLArgument(type=GraphQLString)}\n                )\n            }\n\n        def books_query(args, _):\n            query = Query([]).select_from(Book)\n\n            if \"genre\" in args:\n                query = query.filter(Book.genre == args[\"genre\"])\n\n            return query\n\n        return RootJoinType(name=\"Root\", fields=fields)\n\n    root = create_root()\n\n    def fetch_immediates_from_database(selections, query, context):\n        query = query.with_entities(*(\n            selection.field.column_name\n            for selection in selections\n        ))\n        keys = tuple(selection.key for selection in selections)\n\n        return [\n            dict(zip(keys, row))\n            for row in query.with_session(context.session).all()\n        ]\n\n    def create_book_join_type():\n        def fields():\n            return {\n                \"id\": field(column_name=\"id\", type=GraphQLInt),\n                \"title\": field(column_name=\"title\", type=GraphQLString),\n                \"genre\": field(column_name=\"genre\", type=GraphQLString),\n                \"authorId\": field(column_name=\"author_id\", type=GraphQLInt),\n                \"author\": single(author_join_type, author_query, join={\"authorId\": \"id\"}),\n            }\n\n        def author_query(args, book_query):\n            books = book_query.with_entities(Book.author_id).distinct().subquery()\n            return Query([]) \\\n                .select_from(Author) \\\n                .join(books, books.c.author_id == Author.id)\n\n        return JoinType(\n            name=\"Book\",\n            fields=fields,\n            fetch_immediates=fetch_immediates_from_database,\n        )\n\n    book_join_type = create_book_join_type()\n\n    def create_author_join_type():\n        def fields():\n            return {\n                \"id\": field(column_name=\"id\", type=GraphQLInt),\n                \"name\": field(column_name=\"name\", type=GraphQLString),\n            }\n\n        return JoinType(\n            name=\"Author\",\n            fields=fields,\n            fetch_immediates=fetch_immediates_from_database,\n        )\n    author_join_type = create_author_join_type()\n\nWe can execute the query by calling ``execute``:\n\n.. code-block:: python\n\n    from graphjoiner import execute\n\n    query = \"\"\"\n        {\n            books(genre: \"comedy\") {\n                title\n                author {\n                    name\n                }\n            }\n        }\n    \"\"\"\n\n    class Context(object):\n        def __init__(self, session):\n            self.session = session\n\n    execute(root, query, context=Context(session))\n\n\nWhich produces:\n\n::\n\n    {\n        \"books\": [\n            {\n                \"title\": \"Leave It to Psmith\",\n                \"author\": {\n                    \"name\": \"PG Wodehouse\"\n                }\n            },\n            {\n                \"title\": \"Right Ho, Jeeves\",\n                \"author\": {\n                    \"name\": \"PG Wodehouse\"\n                }\n            },\n            {\n                \"title\": \"Catch-22\",\n                \"author\": {\n                    \"name\": \"Joseph Heller\"\n                }\n            },\n        ]\n    }\n\nLet's break things down a little, starting with the definition of the root object:\n\n.. code-block:: python\n\n    def create_root():\n        def fields():\n            return {\n                \"books\": many(\n                    book_join_type,\n                    books_query,\n                    args={\"genre\": GraphQLArgument(type=GraphQLString)}\n                )\n            }\n\n        def books_query(args, _):\n            query = Query([]).select_from(Book)\n\n            if \"genre\" in args:\n                query = query.filter(Book.genre == args[\"genre\"])\n\n            return query\n\n        return RootJoinType(name=\"Root\", fields=fields)\n\n    root = create_root()\n\nFor each object type, we need to define its fields.\nThe root has only one field, ``books``, a one-to-many relationship,\nwhich we define using ``many()``.\nThe first argument, ``book_join_type``,\nis the type we're defining a relationship to.\nThe second argument to describes how to create a query representing all of those\nrelated books: in this case all books, potentially filtered by a genre argument.\n\nThis means we need to define ``book_join_type``:\n\n.. code-block:: python\n\n    def create_book_join_type():\n        def fields():\n            return {\n                \"id\": field(column_name=\"id\", type=GraphQLInt),\n                \"title\": field(column_name=\"title\", type=GraphQLString),\n                \"genre\": field(column_name=\"genre\", type=GraphQLString),\n                \"authorId\": field(column_name=\"author_id\", type=GraphQLInt),\n                \"author\": single(author_join_type, author_query, join={\"authorId\": \"id\"}),\n            }\n\n        def author_query(args, book_query):\n            books = book_query.with_entities(Book.author_id).distinct().subquery()\n            return Query([]) \\\n                .select_from(Author) \\\n                .join(books, books.c.author_id == Author.id)\n\n        return JoinType(\n            name=\"Book\",\n            fields=fields,\n            fetch_immediates=fetch_immediates_from_database,\n        )\n\n    book_join_type = create_book_join_type()\n\nThe ``author`` field is defined as a one-to-one mapping from book to author.\nAs before, we define a function that generates a query for the requested authors.\nWe also provide a ``join`` argument to ``single()`` so that GraphJoiner knows\nhow to join together the results of the author query and the book query:\nin this case, the ``authorId`` field on books corresponds to the ``id`` field\non authors.\n(If we leave out the ``join`` argument, then GraphJoiner will perform a cross\njoin i.e. a cartesian product. Since there's always exactly one root instance,\nthis is fine for relationships defined on the root.)\n\nThe remaining fields define a mapping from the GraphQL field to the database\ncolumn. This mapping is handled by ``fetch_immediates_from_database``.\nThe value of ``selections`` in\n``fetch_immediates()`` is the selections of fields that aren't defined as relationships\n(using ``single`` or ``many``) that were either explicitly requested in the\noriginal GraphQL query, or are required as part of the join.\n\n.. code-block:: python\n\n    def fetch_immediates_from_database(selections, query, context):\n        query = query.with_entities(*(\n            fields[selection.field_name].column_name\n            for selection in selections\n        ))\n        keys = tuple(selection.key for selection in selections)\n\n        return [\n            dict(zip(keys, row))\n            for row in query.with_session(context.session).all()\n        ]\n\nFor completeness, we can tweak the definition of ``author_join_type`` so\nwe can request the books by an author:\n\n.. code-block:: python\n\n    def create_author_join_type():\n        def fields():\n            return {\n                \"id\": field(column_name=\"id\", type=GraphQLInt),\n                \"name\": field(column_name=\"name\", type=GraphQLString),\n                \"author\": many(book_join_type, book_query, join={\"id\": \"authorId\"}),\n            }\n\n        def book_query(args, author_query):\n            authors = author_query.with_entities(Author.id).distinct().subquery()\n            return Query([]) \\\n                .select_from(Book) \\\n                .join(authors, authors.c.id == Book.author_id)\n\n        return JoinType(\n            name=\"Author\",\n            fields=fields,\n            fetch_immediates=fetch_immediates_from_database,\n        )\n\n    author_join_type = create_author_join_type()\n\nInstallation\n------------\n\n::\n\n    pip install graphjoiner",
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