Best of Database — June 2024
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ITNEXT·2y
Optimizing Web Backends
The post discusses common techniques for optimizing web backend performance, focusing on issues related to high response times. It categorizes optimization strategies into three main layers: Application, Database, and Infrastructure. Key methods include optimizing algorithms, using asynchronous functions, leveraging concurrency, indexing databases, scaling databases, data compression, using CDNs, upgrading to HTTP/2 or HTTP/3, and replicating infrastructure. Continuous measurement and testing are emphasized to ensure effectiveness.
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ByteByteGo·2y
EP118: What are the differences among database locks?
Database locks are mechanisms to ensure data integrity and consistency by preventing concurrent access. Common types include Shared Lock, Exclusive Lock, Update Lock, Schema Lock, Bulk Update Lock, Key-Range Lock, Row-Level Lock, Page-Level Lock, and Table-Level Lock. Pagination in API design addresses large datasets with techniques like offset-based, cursor-based, page-based, keyset-based, time-based, and hybrid pagination. Further highlights cover architecture patterns (MVC, MVP, MVVM, MVVM-C, VIPER) and web browsing process from typing a URL to loading a webpage.
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DEV·2y
Understanding IQueryable<T> in C#
Understanding IQueryable<T> in C# is crucial for efficient data querying. This interface, integral to LINQ, supports deferred execution and expression trees, enabling optimized and flexible queries over data sources like SQL databases or in-memory collections. It allows for method chaining to build complex queries and can be extended using custom extension methods for functionality like filtering, sorting, and pagination.
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Hacker News·2y
The .NET Programmer's Playground
LINQPad offers interactive querying for databases in LINQ and SQL. It generates association properties automatically, making data access simple. LINQPad supports various databases, caches intermediate results, and features a Dump method for intelligent object inspection. It supports advanced C# features, acts as a rapid coding tool, and offers functionalities such as benchmarking and Excel export. LINQPad also includes a tutorial and numerous example queries, making it easy to learn.
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Code Like A Girl·2y
SQL Essentials: GROUP BY vs. PARTITION BY explained
Understanding the differences between GROUP BY and PARTITION BY clauses in SQL is crucial for efficient data analysis. GROUP BY is used to summarize data by grouping rows that have the same values in specified columns, while PARTITION BY is used for detailed calculations within specific partitions. GROUP BY can reduce the number of rows by summarizing data, whereas PARTITION BY adds additional information without reducing rows. Both clauses support aggregate functions, but PARTITION BY also supports ranking and time-series functions.
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Community Picks·2y
Tenancy for Laravel
The stancl/tenancy package is a flexible multi-tenancy package for Laravel that automatically bootstraps tenancy, separates data, integrates with other packages, and is fully testable. It is packed with features such as shared users between tenants, user impersonation, and compatibility with various databases. It has gained trust among developers and is frequently used in production applications.
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Product Hunt·2y
SQLPilot - AI First SQL Editor - write complex queries with AI
SQLPilot, launched on June 21st, 2024, is an AI-powered SQL editor designed to help developers write complex SQL queries more efficiently. It's featured in analytics, developer tools, and databases, marking its first release.
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developedbyed·2y
Learn SQL Super Fast - Tutorial from absolute scratch
This tutorial covers the setup of PostgreSQL from scratch, including creating databases, tables, and SQL joins. It emphasizes the importance of fundamental technologies like SQL over rapidly changing frameworks. You'll learn to install PostgreSQL, create databases and tables, use SQL commands to manage data, and understand SQL joins and foreign keys for relational data. The tutorial also briefly discusses the limitations of ORMs in the JavaScript ecosystem and the value of mastering core technologies.
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Why Is Redis a Distributed Swiss Army Knife 💭
Redis is a versatile tool used to build high-performance applications and solve a variety of problems. Key use cases include caching to improve response times, queuing to process data asynchronously, distributed locking to prevent database overload, throttling to manage congestion, maintaining session stores for scalable web servers, and rate limiting to protect web servers from excessive API requests. Redis offers numerous additional features such as sorted sets, HyperLogLog, Pub-Sub, geospatial indexing, time series data, and modules like RedisSearch and RedisJSON.
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orbitinghail/sqlsync: SQLSync is a collaborative offline-first wrapper around SQLite. It is designed to synchronize web application state between users, devices, and the edge.
SQLSync is a collaborative offline-first wrapper around SQLite. It synchronizes web application state between users, devices, and the edge. It supports real-time collaboration, optimistic mutations, and cross-tab sync. To use SQLSync, you can join the Discord community and follow the guide to add it to your application. You can debug SQLSync in Google Chrome by accessing the special URL: chrome://inspect/#workers. The underlying library used by SQLSync is rusqlite. To run multiple SQL statements with SQLSync, it is recommended to execute them individually. Contributions to SQLSync are welcome and can be discussed in the Discord community.
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freeCodeCamp·2y
How to Create Database Migrations in Go Using Docker and Postgres
Learn how to create and manage database migrations in Go using Docker and Postgres. This guide covers setting up a Docker container, creating a schema with TablePlus, installing golang-migrate, generating migration scripts, and running migrations effectively.
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Push your skills
Learn how to become a better developer by continuously improving your skills. Use resources like Pluralsight and Microsoft Learn, read documentation, keep things simple, use version control with GitHub, and prioritize learning over speed. Microsoft Visual Studio is recommended for coding, along with tools like Red Gate SQL Prompt and EF Power Tools. Dive into code basics with Microsoft Entity Framework Core or Dapper. Refactor code and incorporate best practices like using meaningful variable names and writing readable code. Continually learning is essential for growth as a developer.
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amacneil/dbmate: :rocket: A lightweight, framework-agnostic database migration tool.
Dbmate is a framework-agnostic database migration tool that keeps database schema in sync across multiple developers and production servers. It supports multiple programming languages and frameworks. With dbmate, you can easily install and use it with npm, Homebrew, or directly with binary files. Dbmate provides commands to create, run, rollback, and manage database migrations. It also supports various options for customization. You can wait for the database to become available before executing commands. Dbmate can dump the database schema to a file and can be used as a library in Go applications. It also supports embedding migrations in Go application binaries. Dbmate offers a simple format for migration files and stores applied migrations in a table named schema_migrations. Compared to other tools, dbmate is easy to configure, language independent, and supports multiple database drivers.
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Ayende @ Rahien·2y
Recording: Building a Database Engine in C# & .NET
Oren Eini, CEO of RavenDB, explores the process of building a database engine with C# and .NET, highlighting the language's capabilities for high-end system development. This session covers direct memory access, fine-grained control, and the blend of high-level concepts with low-level programming offered by C#.
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TigerData (Creators of TimescaleDB)·2y
Postgres: The Birdhorse of Databases
PostgreSQL is a unique and successful database that appeals to both traditional enterprises and cloud-native startups. Its extension framework allows for flexibility and easy addition of functionality. PostgreSQL is considered the most popular database among professional developers.
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The New Stack·2y
PostgreSQL vs. MongoDB: Which Is Better for GenAI?
Generative AI (GenAI) requires databases that can efficiently handle complex, large-scale data structures. This post compares PostgreSQL and MongoDB for GenAI workloads, highlighting that MongoDB, with its BSON format, offers superior performance for large documents and multiple attributes versus PostgreSQL's JSON/JSONB handling. Specific benchmarks in write and read operations underscore how PostgreSQL struggles with large payloads, whereas MongoDB maintains consistent performance, making it a better choice for GenAI tasks.
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System Weakness·2y
How to Install Redis Securely
Learn how to securely install Redis on a Linux environment. The guide covers updating the system, installing Redis, ensuring local access, configuring protected mode, implementing authentication, and setting up Access Control Lists (ACLs) to define user permissions and enhance security.
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Hashrocket·2y
Generated Columns in PostgreSQL
Generated columns in PostgreSQL, introduced in version 12, allow data to be computed dynamically at the database level. There are two types: virtual and stored, though PostgreSQL only supports stored columns. This post provides an example of creating and using a generated column, explores when they are computed, and highlights some limitations, such as the inability to reference a generated column from another generated column and the use of constraints on generated columns.
