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Awesome GitHub RepositoriesQuery Execution Triggers

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.

Awesome Query Execution Triggers GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • tooljet/tooljetAvatar ToolJet

    ToolJet/ToolJet

    38,027Vezi pe GitHub↗

    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.

    JavaScriptai-app-builderdockerhacktoberfest
    Vezi pe GitHub↗38,027
  • influxdata/telegrafAvatar influxdata

    influxdata/telegraf

    17,619Vezi pe GitHub↗

    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.

    Gogolanghacktoberfestinfluxdb
    Vezi pe GitHub↗17,619
  • sqlalchemy/sqlalchemyAvatar sqlalchemy

    sqlalchemy/sqlalchemy

    11,612Vezi pe GitHub↗

    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.

    Pythonpythonsqlsqlalchemy
    Vezi pe GitHub↗11,612
  • apollographql/react-apolloAvatar apollographql

    apollographql/react-apollo

    6,799Vezi pe GitHub↗

    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.

    JavaScriptapollographqlreact
    Vezi pe GitHub↗6,799
  • spaceandtimefdn/blitzarAvatar spaceandtimefdn

    spaceandtimefdn/blitzar

    4,884Vezi pe GitHub↗

    Blitzar is a verifiable SQL proof engine and cryptographic library designed for verifiable SQL computation. It enables the execution of database queries off-chain while generating zero-knowledge proofs that certify the correctness of the results for on-chain verification. The project distinguishes itself through a GPU-accelerated proof accelerator that offloads heavy cryptographic workloads to graphics processors, reducing the time required for succinct proof generation. It provides high-performance cryptographic primitives for C++ and Rust applications, focusing on elliptic curve operations

    Enables smart contracts to call verified SQL queries and receive results through a callback handler.

    C++cpp20curve25519elliptic-curve-cryptography
    Vezi pe GitHub↗4,884
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  3. Query Execution Triggers

Explorează sub-etichetele

  • Manual Query TriggersDefers GraphQL query execution until a manual trigger, such as a button click, by returning an execution function from a hook. **Distinct from Query Execution Triggers:** Distinct from general query execution triggers: specifically defers GraphQL query execution until a manual user action via a returned function.
  • ZK-Proven Query TriggersMechanisms that allow smart contracts to trigger verified SQL queries and receive results. **Distinct from Query Execution Triggers:** Specifically handles the triggering of zero-knowledge proven queries from smart contracts, not general manual or plugin triggers.