GQL

GQL is a graphical formal query language for manipulating 'a database. By providing a set of pattern images, the language allows users to draw pattern graphs ... Package gql is responsible for lexing and parsing a GraphQL query/mutation.

To be able to reason using the Genomic Query Language (GQL), we propose the idea of parameterized views as an extension of SQL's "create view" construct ... GQL is a set of Groovy DSLs and AST transformations built on top of GraphQL-java that make it easier to build GraphQL schemas and execute GraphQL queries.

GQL is a suite of tools for analyizing time-course experiments. Currently, it is adapted to gene expression data. The two main tools are GQLQuery, for querying ... Deploying Apollo GQL API to Zeit. I'm going to show you how to use Manifold, Apollo and Express to build a GraphQL API which we'll then deploy to Zeit. Write the query as a JS constant using the gql parser function; Initialize the property in your component's data property; Use the apollo object to fetch the results ...

GQL is an upcoming International Standard language for property graph ... WG3 members in early 2017, and is echoed in the GQL manifesto of May 2018. GQL is a SQL-like language for retrieving entities and keys. The syntax for GQL queries is similar to that of SQL. This page is a reference for ...

Should the property graph community unite to create a standard graph query language, GQL, alongside SQL? Vote now or read on and vote afterwards. graphql-tag. npm version Build Status Get on Slack. Helpful utilities for parsing GraphQL queries. Includes: gql A JavaScript template literal tag that parses ... A GraphQL client in Python. Contribute to graphql-python/gql development by creating an account on GitHub. The Google Query Language (GQL) interface provides an alternative method for accessing data. The version of GQL implemented here is based on the Google ...

Orpheus GQL is a new node module that breaks down and illustrates different parts of a query to understand their runtime and performance impact on the app. Orpheus, which functions as an extension to GraphQL, seamlessly integrates with existing GraphQL endpoints and provides useful benchmarking and data visualization tools. It presents an at-a-glance analysis of the query costs (nesting depth, number of resolvers hit, path of resolvers, data points, runtime), as well as a sunburst visualization of the costs on each component from the provided query. It is flexible enough to accommodate both relational and non-relational databases.