10 dépôts
Configuration and management of diagnostic output for database queries and operations.
Distinguishing note: Specific to database-level diagnostic logging rather than general application-wide logging frameworks.
Explore 10 awesome GitHub repositories matching data & databases · Database Logging. Refine with filters or upvote what's useful.
GORM is a developer-focused object-relational mapping library for Go that provides a comprehensive data persistence framework. It serves as a database access layer, allowing developers to map application structures to database tables and perform CRUD operations using a fluent, type-safe query builder instead of writing raw SQL. The library distinguishes itself through its association-aware persistence, which automatically tracks and synchronizes complex entity relationships during database operations. It utilizes a driver-agnostic interface to maintain consistent behavior across various stora
GORM perform write (create/update/delete) operations run inside a transaction to ensure data consistency, you can disable it during initialization if it is not required, you will gain about 30%+ performance improvement a
This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a robust framework for managing application state by synchronizing data across browsers, mobile devices, and server-side runtimes. By treating local storage as the primary source of truth, it enables applications to remain functional without network connectivity, automatically reconciling changes with remote backends once a connection is restored. The database distinguishes itself through a modular architecture that supports cross-environment synchronization and high-performance d
Filters database operations and execution metrics to reduce log noise and focus on relevant storage events.
Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and traces across distributed infrastructure. It functions as a modular engine that decouples data ingestion from processing and transmission, utilizing a component-based architecture to connect diverse sources to multiple destinations. The project distinguishes itself through a focus on reliability and flow control. It implements backpressure-aware data movement to prevent data loss during traffic spikes and utilizes disk-backed event buffering to ensure durability during network
Streams log and metric data into database tables with support for custom authentication and request batching.
Entity Framework Core is an object-relational mapper that enables developers to interact with database systems using strongly-typed code. It serves as a comprehensive data access framework, providing a unified interface for mapping application objects to relational and non-relational database schemas while managing the lifecycle of data operations through a central context. The project distinguishes itself through a provider-based architecture that decouples core data access logic from specific database engines, allowing for consistent interaction across diverse storage systems. It features a
Captures and outputs internal database activity and execution details to logging providers for monitoring.
SQLAlchemy is a comprehensive Python SQL toolkit and object-relational mapper that provides a full suite of tools for interacting with relational databases. It serves as a foundational layer for database connectivity, offering both a high-level object-oriented interface for data persistence and a programmatic SQL expression language for constructing complex, dialect-agnostic queries. The project distinguishes itself through its sophisticated unit of work persistence, which coordinates atomic transactions and tracks object state changes to minimize redundant database operations. It provides a
Captures and outputs SQL statements, parameter lists, and connection pool events for debugging and monitoring.
The MongoDB Node.js Driver is a programmatic interface and NoSQL database client used to manage document storage and execute operations within a MongoDB database. It serves as an asynchronous database interface and connection manager that enables Node.js applications to integrate with MongoDB servers. The project implements client-side field encryption to secure sensitive data and queries locally before transmission. It also provides a BSON serialization library to convert JavaScript objects into a binary format for efficient storage and network transmission. The driver covers a broad range
Records activity and diagnostic output for database queries and operations to assist with auditing.
xorm is a relational mapper and object-relational mapping tool for Go. It translates Go structures into SQL queries and maps database rows back into native objects, providing a multi-dialect database driver that supports MySQL, PostgreSQL, SQLite, Oracle, SQL Server, and TiDB. The project features a read-write splitting manager that routes modification requests to a primary database and read requests to replicas. It includes a database schema synchronizer to automatically align table structures and indexes with application data models, as well as a fluent SQL query builder for constructing co
Records internal events and SQL queries using configurable severity levels for debugging.
This is a Laravel package that provides a database audit trail by automatically logging user actions and Eloquent model events. It records create, update, and delete operations on models into a dedicated database table, creating a searchable record of changes for tracking and review. The package distinguishes itself through extensive configuration and customization options. You can control which model attributes are logged, specify which events trigger logging, customize activity descriptions, and modify activity records before they are saved. It supports logging changes to pivot models, trac
Groups multiple related activities into a single log entry to reduce storage overhead and improve query performance.
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
Captures and redirects SQLite and framework logs to a custom handler instead of the system log.
Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r
Groups log records together based on size or time intervals to reduce network round-trips.