#gql

A number of books on the use of LLMs demonstrate how to generate queries against a table from natural language. There is no doubt that providing an LLM and the definition of a simple database and a natural language question, and seeing it provide a valid result is impressive. The problem is that this struggles to scale to enterprise scenarios where queries need to run on very large databases…

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.

Answer: Google App Engine: Is it possible to do a Gql LIKE query? #answer #it #programming

Google App Engine: Is it possible to do a Gql LIKE query?

Simple one really. In SQL, if I want to search a text field for a couple of characters, I can do:

SELECT blah FROM blah WHERE blah LIKE '%text%'

The documentation for App Engine makes no mention of how to achieve this, but surely it’s a common enough problem?

Anthony

Answer [by Dave Webb]: Google App Engine: Is it possible to do a Gql…

Let's say you want to find all of the current user's facebook friends who are using your app. You've stored the facebook id of each connected user on a User entity and the Facebook API returns to you a large list of facebook ids of the friends of the current user. To look them up in your datastore you basically need a giant OR or IN query on the User entity. Here's a traditional SQL example of how you might do this:

SELECT * FROM User WHERE facebook_id = '100213' OR facebook_id = '104413' OR facebook_id = '150273' ... etc.

The way the App Engine documentation says to query for multiple possible values is to use an IN query. Example:

employees = User.gql('WHERE facebook_id IN :1', ['100213', '104413', '150273'])

The problem with this is that it quickly becomes slow and maxes out at 30 values. The reason is that behind the scenes it's actually running an equals query for each possible value. This of course won't work with thousands of facebook ids you might need to look up.

One way to handle this efficiently in App Engine is to create a separate entity in your datastore for just facebook id lookups. You can call it something like FacebookIdIndex. You will need a FacebookIdIndex entity for each User that has an assigned facebook_id. Here's what the model might look like:

class FacebookIdIndex(db.Model) user = db.ReferenceProperty(User, required=True)

Then, when you create each FacebookIdIndex you set the key_name to the facebook id and set the reference property of the corresponding app User entity. Like so:

facebook_index = FacebookIdIndex(key_name=str(facebook_id), user=user) facebook_index.put()

This creates an an entity with the key name of the facebook id and one property with a reference back to the User entity we care about. (NOTE: Make sure you convert the facebook_id to a string just in case you get it as an integer. Key names can not be integer values.)

Now, to look up all Users who are friends with the current user in your app, you can do a bulk key name lookup. This is extremely fast compared to separate queries and there is no limit on the number of key names you can lookup. Given a list of facebook ids, here's how it's done:

# Get all matching FacebookIdIndex's in one quick bulk key name lookup. indexes = FacebookIdIndex.get_by_key_name(facebook_ids) # Now get a list of all of the User entity keys that match the facebook ids. user_keys = [] for index in indexes: # Check if a match. The bulk get by key name will return None for non matches. if index: # Get the key of the User entity we want. user_key = FacebookIdIndex.user.get_value_for_datastore(index) # Check if entity exists just to make sure User entity still exists. if user_key: user_keys.append(user_key) # If any users matched, bulk get all of them. if user_keys: users = User.get(user_keys) # Found all friends of the current user using the app! return users

The get_value_for_datastore() call is used to check for non matches and also to prevent App Engine from making individual get calls for each User entity. We want to delay the get for each User entity for the bulk get() call, which is much faster than doing individual gets for each User entity.