February 21, 2024 Prisma ORM Now Lets You Choose the Best Join Strategy (Preview) Fetching related data from multiple tables in SQL databases can get expensive. Prisma ORM now lets you choose between database-level and application-level joins so that you can pick the most performant approach for your relation queries. Contents New in Prisma ORM: Choose the best Join strategy 🎉 join vs query — whe
Safe relational database queries using the Rust type system Do you want to persist your data safely without migration issues and easily write complicated queries? All of this without writing a single line of SQL? If so, then I am making rust-query for you! This is my first blog post about rust-query, a project I've been working on for many months. I hope you like it! Rust and Databases There is on
UPM is our internal standalone library to perform static analysis of SQL code and enhance SQL authoring. UPM takes SQL code as input and represents it as a data structure called a semantic tree. Infrastructure teams at Meta leverage UPM to build SQL linters, catch user mistakes in SQL code, and perform data lineage analysis at scale. Executing SQL queries against our data warehouse is important to
one-page documentation sq is a type-safe data mapper and query builder for Go. Its concept is simple: you provide a callback function that maps a row to a struct, generics ensure that you get back a slice of structs at the end. Additionally, mentioning a column in the callback function automatically adds it to the SELECT clause so you don't even have to explicitly mention what columns you want to
I discovered something absurd recently and I’m very excited to tell you about it. The end result is absurd-sql, and it’s a persistent backend for SQLite on the web. That means it doesn’t have to load the whole db into memory, and writes persist. In this post I will explain the absurdities of the web’s storage APIs (mainly IndexedDB), show how SQLite provides a 10x perf improvement, explain all the
Distributed SQL database in Rust, built from scratch as an educational project. Main features: Raft distributed consensus engine for linearizable state machine replication. ACID transaction engine with MVCC-based snapshot isolation. Pluggable storage engine with BitCask and in-memory backends. Iterator-based query engine with heuristic optimization and time-travel support. SQL interface including
const initSqlJs = require('sql.js'); // or if you are in a browser: // const initSqlJs = window.initSqlJs; const SQL = await initSqlJs({ // Required to load the wasm binary asynchronously. Of course, you can host it wherever you want // You can omit locateFile completely when running in node locateFile: file => `https://sql.js.org/dist/${file}` }); // Create a database const db = new SQL.Database(
Multiple Queries in the Console Query Editor Rockset Console’s query editor allows users to type and run queries over collections. Until now, however, whatever was typed in the editor was run and parsed as a single query. This means that, for a user, it wasn’t that easy to switch between multiple queries in our editor. They would have to comment out the queries they didn’t want to run, or keep all
PartiQL's extensions to SQL are easy to understand, treat nested data as first class citizens and compose seamlessly with each other and SQL. This enables intuitive filtering, joining and aggregation on the combination of structured, semistructured and nested datasets. PartiQL enables unified query access across multiple data stores and data formats by separating the syntax and semantics of a quer
Full MySQL Support Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases. Perfect Web Development Companion Whether you are a Mac Web Developer, Programmer or Software Developer your workflow will be streamlined with a native Mac OS X Application! Flexible Connectivity Sequel Pro gives you direct access to your MySQL Databases on local and remote se
AlaSQL - ( à la SQL ) [ælæ ɛskju:ɛl] - is an open source SQL database for JavaScript with a strong focus on query speed and data source flexibility for both relational data and schemaless data. It works in the web browser, Node.js, and mobile apps. This library is perfect for: Fast in-memory SQL data processing for BI and ERP applications on fat clients Easy ETL and options for persistence by data
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