20 个仓库
Sequential logs that record changes atomically to ensure the database can recover to a consistent state after a crash.
Distinct from Atomic Transactional Commits: Distinct from version control commits (f1_mt1, f1_mt2, f1_mt3, f1_mt4); this is a database recovery mechanism.
Explore 20 awesome GitHub repositories matching data & databases · Atomic Commit Logs. Refine with filters or upvote what's useful.
Bolt is a single-file embedded key-value store for Go applications. It is an ACID transactional database that organizes data in B+trees on disk to provide efficient sorted key retrieval and range scans. The system uses a memory-mapped model to map the database file directly into the process address space for fast random-access reads. The project distinguishes itself through a multi-version concurrency control architecture that allows multiple simultaneous readers to access a consistent snapshot of data without blocking a writer. It employs a single-writer multi-reader locking model and uses a
Implements an atomic commit log to ensure data integrity and recovery of the last consistent state after crashes.
This project is a Git commit standardization tool and semantic commit generator. It serves as an assistant to align code changes with semantic versioning by enforcing a consistent commit structure and formatting rules. The utility uses interactive prompts to gather user input, which it then validates against semantic categories and interpolates into predefined templates. This process automates the generation of standardized messages, ensuring that each commit follows a specific format to improve project history and traceability. The system also handles commit metadata structuring, including
Implements structured footer construction for tracking reviewers and referencing issue tickets.
Delta is a lakehouse table format that brings ACID transactions and data warehouse consistency to large scale data lakes on cloud object storage. It serves as an ACID transaction manager, coordinating atomic commits and serializable isolation for concurrent reads and writes across distributed compute engines. The project provides a multi-engine interoperability layer that uses format translation to allow diverse SQL engines and processing frameworks to read and write the same tables. It functions as a data versioning system, utilizing a transaction log to enable time travel, historical snapsh
Provides a centralized catalog service to coordinate atomic commits across distributed compute clusters.
This project provides a specification for a structured commit message convention that enables automated semantic versioning and changelog generation. It defines a standard grammar for commit messages to ensure project history is readable by both humans and machines. The specification maps specific commit types and breaking change indicators to version increment logic, allowing tools to automatically determine whether a patch, minor, or major release is required. This standardized format also facilitates the automatic production of human-readable release notes by parsing commit history. The c
Establishes a grammar that allows tools to parse commit types and scopes using regular expressions.
Conventional Changelog is a set of tools for automatically generating formatted release notes by parsing Git commit messages that follow a structured specification. It includes a commit message parser to transform raw strings into structured data, a changelog generator for producing release notes, and a commit linter to ensure messages adhere to specific conventions before they are merged. The project provides a system for semantic versioning automation, analyzing commit history to recommend the next version bump based on the types of changes recorded. It supports extensibility through config
Transforms raw Git commit strings into structured data objects for use in changelogs.
Standard-version is a semantic versioning release automation tool and Git versioning manager. It calculates the next semantic version by parsing commit messages that follow the Conventional Commits specification and automates the process of updating project files and creating signed Git tags. The tool distinguishes itself by generating formatted changelogs automatically from commit history and providing a release process simulation to preview version bumps without modifying files or Git history. It supports pre-release version management for experimental builds and allows for manual version o
Parses commit messages following the Conventional Commits specification to generate automated changelogs.
Objection.js is an object-relational mapper for Node.js that maps SQL database tables to classes and rows to model instances. It functions as a high-level abstraction layer built on top of the Knex.js query builder to provide structured model definitions and relational data mapping. The project distinguishes itself through its ability to manage complex object graphs, allowing for the persistence and eager-loading of deeply nested related data in single operations. It incorporates a data integrity layer that uses JSON schema validation to verify model instances before they are persisted to the
Runs groups of operations as an atomic unit that commits or rolls back based on the total outcome.
Stores filesystem metadata in two-block logs that update atomically to survive power loss.
go-sqlmock is a Go library that simulates SQL driver behavior for unit testing by intercepting database calls through the standard database/sql/driver interface, eliminating the need for a real database connection. It provides a comprehensive mocking framework that allows developers to define expectations for SQL operations, including queries, executions, prepared statements, and transaction lifecycles, with precise control over the results and errors returned. The library distinguishes itself through its flexible matching and verification capabilities. It supports regex-based or exact SQL
Set expectations for Begin, Commit, and Rollback calls, optionally returning errors or delays to test transaction handling.
Automates semantic version bumps and changelog generation by parsing commit messages that follow the Conventional Commits specification.
Apache Hudi is an open-source table format that brings ACID transactions, incremental processing, and multi-modal indexing to data lakes. It provides atomic commits with snapshot isolation, rollback, and optimistic concurrency control for reliable data lake operations, while supporting upserts, record-level updates, and deletions in large analytical datasets. The project distinguishes itself through a timeline-based architecture that coordinates all write operations, enabling features like time-travel querying, incremental change streaming, and multi-modal query views that include snapshot, i
Coordinates all write operations through a central timeline that records commits, rollbacks, and savepoints for atomicity and recovery.
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Defers task enqueuing until the active database transaction has committed.
CodeIgniter is a PHP web framework built on the Model-View-Controller pattern, designed for building full-stack web applications. It provides a lightweight toolkit with minimal configuration, organizing application logic into controllers, models, and views for clean separation of concerns. The framework includes a fluent query builder for constructing SQL statements programmatically, PSR-4 autoloading with namespace mapping, and a service-based dependency injection container for managing shared class instances. The framework distinguishes itself through its comprehensive set of built-in tools
CodeIgniter provides explicit begin, commit, and rollback calls for full control over the transaction lifecycle.
本项目是一个全面的 Python 编程教育材料合集,包括教程、练习与精选代码示例。它作为一个学习课程与软件工程工具包,利用 Jupyter Notebooks 将可执行代码与描述性教育文本相结合。 该仓库提供了构建大语言模型应用的实践指南,例如检索增强生成(RAG)系统、有状态 AI 代理与机器学习工作流。它通过提供结构化的代理编码工作流脱颖而出,涵盖了上下文窗口蒸馏、与提供商无关的模型路由以及模式强制的结构化输出。 这些材料涵盖了广泛的软件工程能力,包括使用分布式任务队列的异步编程、使用 REST API 的 Web 应用开发以及数据分析工作流。它还包括用于掌握面向对象设计、实现 CI/CD 流水线以及应用专业 Linting 与格式化标准的资源。
Teaches how to defer long-running function execution by offloading tasks to background worker processes.
H2 是一个用 Java 编写的 JDBC 兼容关系型数据库管理系统。它作为一个可嵌入的 SQL 数据库,可以直接在应用程序进程内运行以消除网络延迟,或者作为内存数据库用于高性能的易失性存储。它还包含一个基于 Web 的控制台,用于执行 SQL 命令和管理模式。 该系统的特点是其灵活的部署模式,包括用于远程 TCP/IP 访问的独立服务器模式,以及用于同时进行本地和远程连接的混合模式。它具有方言模拟层和兼容模式,允许其模仿其他数据库系统的行为和语法。 该引擎提供了一套广泛的功能,涵盖具有多版本并发控制(MVCC)的 ACID 事务、地理空间和 JSON 数据支持,以及高级分析窗口函数。它包括通过压缩备份、SQL 脚本恢复和堆外内存管理来处理大数据集的数据保护工具。 该数据库使用标准的 Java 数据库连接驱动程序和连接 URL 与应用程序集成。
Provides standard transaction management including commit, rollback, and savepoint operations to ensure data atomicity.
This repository is a collection of technical knowledge and solutions focused on mobile application development, particularly for Android and iOS platforms. It covers a wide range of practical engineering challenges, including hotfix and patching techniques, database management and repair, network communication, logging, and video processing. The content is presented as shared knowledge, documenting real-world problems and their implementations. The project provides detailed guidance on applying hotfixes to running Android applications through multiple methods, such as class replacement, full
Uses fixed-size compression blocks to isolate log corruption so one block's damage does not spread.
redb is an embedded key-value store and ACID-compliant storage engine. It functions as a persistent storage system for saving and retrieving data as key-value pairs within a tree structure. The engine is built as an MVCC transactional database, utilizing multi-version concurrency control to manage simultaneous reads and writes without blocking. It employs a single-writer multi-reader model to ensure data consistency while allowing multiple threads to access the store. The system provides persistent state management and atomic transaction management to prevent data corruption during crashes.
Writes batches of changes as single atomic units to prevent partially-updated states.
Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr
Manages the transaction lifecycle by committing changes on success or rolling them back on failure.
NutsDB is an ACID-compliant, embedded transactional storage engine that functions as both a disk-backed key-value store and an in-memory data structure store. It provides atomic and serializable transactions with commit and rollback capabilities to ensure strict data consistency for applications requiring a lightweight persistence layer. The engine distinguishes itself by supporting a variety of complex data types, including lists, sets, and sorted sets, alongside standard byte-slice storage. It implements a transactional storage model featuring hot backups and a compaction algorithm to maint
Provides explicit begin, commit, and rollback methods for direct transaction lifecycle management.
linq2db is a type-safe object-relational mapper that translates LINQ expressions into optimized SQL queries for multiple database providers. It functions as a database mapper that links classes to tables and includes a SQL query builder and a command-line schema tool for generating data classes from existing databases. The project provides high-performance bulk data processing for inserting and loading large volumes of records via batch or binary copy methods. It also supports advanced SQL operations, including window functions, common table expressions for recursive hierarchical querying, an
Manages the commitment or rollback of atomic database operations to ensure data integrity.