5 Repos
Mechanisms for defining when and how data queries are executed, including automation and error handling.
Distinguishing note: Distinct from query builders: focuses on the lifecycle and execution logic rather than the query construction.
Explore 5 awesome GitHub repositories matching data & databases · Query Execution Triggers. Refine with filters or upvote what's useful.
ToolJet is a low-code development platform designed for building and deploying internal business applications. It provides a visual interface where users can drag and drop components to design layouts, connect to various data sources, and execute custom logic. The platform is built on a containerized architecture, ensuring that applications remain portable and consistent across different cloud and server environments. The platform distinguishes itself through integrated artificial intelligence capabilities that assist in the generation of user interfaces, database schemas, and data queries fr
Defines execution behavior for queries including automatic loading, user confirmation, and error retry logic.
Telegraf is a modular, cross-platform telemetry pipeline designed to collect, process, and route metrics from diverse infrastructure, applications, and hardware. It functions as a server-side middleware that normalizes heterogeneous data into a unified format, enabling consistent monitoring across complex environments. By utilizing a plugin-driven architecture, the agent manages the entire lifecycle of telemetry data from initial ingestion to final transmission. The project distinguishes itself through a declarative, configuration-driven execution model that allows users to define complex dat
Triggers one-time data gathering cycles across all configured plugins and transmits results to designated storage systems.
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
Provides hooks into the query lifecycle to apply global filters, custom criteria, or caching logic automatically.
React Apollo is a React-specific GraphQL data fetching library that binds Apollo Client to components through declarative hooks for queries, mutations, and subscriptions. It provides a declarative approach to GraphQL query execution where components declare their data requirements and automatically receive loading, error, and data states without managing request lifecycle code. The library distinguishes itself through a normalized cache layer that deduplicates entities and serves repeated requests without network calls, combined with incremental result streaming via the @defer directive for
Defers GraphQL query execution until a manual trigger like a button click by returning an execution function from a hook.
Blitzar ist eine verifizierbare SQL-Proof-Engine und kryptografische Bibliothek, die für verifizierbare SQL-Berechnungen entwickelt wurde. Sie ermöglicht die Ausführung von Datenbankabfragen off-chain, während Zero-Knowledge-Proofs generiert werden, die die Korrektheit der Ergebnisse für die on-chain-Verifizierung zertifizieren. Das Projekt zeichnet sich durch einen GPU-beschleunigten Proof-Accelerator aus, der rechenintensive kryptografische Workloads auf Grafikprozessoren auslagert und so die für die Generierung prägnanter Proofs erforderliche Zeit reduziert. Es bietet hochperformante kryptografische Primitive für C++- und Rust-Anwendungen, mit Fokus auf elliptische Kurvenoperationen und Multi-Skalar-Multiplikation. Das System deckt eine breite Fläche an Datenmanagement und Sicherheit ab, einschließlich trustless Datenintegration, die Blockchain-Indizierung mit off-chain-Datensätzen zu manipulationssicheren relationalen Tabellen kombiniert. Es nutzt BFT-Konsens und Threshold-Signaturen zur Aufrechterhaltung der Statusintegrität, neben Mechanismen für Quorum-basierte Datensynchronisation und verifizierte Ergebniszustellung via Smart-Contract-Callbacks. Die Codebasis bietet native Bindings für C++ und Rust, um ihre kryptografischen Toolsets und Proof-Berechnungsbibliotheken offenzulegen.
Enables smart contracts to call verified SQL queries and receive results through a callback handler.