8 repository-uri
Capabilities for running queries iteratively with dynamic parameter sets.
Distinguishing note: Distinct from standard query execution by supporting loop-based parameter injection.
Explore 8 awesome GitHub repositories matching data & databases · Batch Query Execution. Refine with filters or upvote what's useful.
Appsmith is a low-code platform designed for building internal business tools, such as operational dashboards and administrative panels. It enables developers to construct dynamic user interfaces by dragging and dropping modular widgets onto a canvas and binding them directly to backend data sources. The platform utilizes a reactive framework that automatically updates interface elements and triggers functions whenever underlying data or widget properties change, eliminating the need for manual event handling. The platform distinguishes itself through a server-side proxy architecture that exe
Executes queries repeatedly within a loop while passing unique parameters to each iteration for dynamic data processing.
dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history. The project distinguishes itself through an adapter-based d
Runs analytical queries against defined metrics and dimensions to validate calculations and retrieve sample results directly from the warehouse.
This project is a PostgreSQL client library and SQL query builder for JavaScript and TypeScript. It provides a low-level database driver and connection manager to handle database sessions, along with a logical replication client for monitoring real-time changes. The library distinguishes itself with a high-performance bulk data streamer that utilizes the database copy command for importing and exporting large datasets. It also implements a logical replication protocol to facilitate real-time database synchronization through change subscriptions and channel-based notifications. The toolset co
Supports executing multiple SQL statements within a single call to perform batch operations.
A lightweight client for managing MariaDB, MySQL, SQL Server, PostgreSQL, SQLite, Interbase and Firebird, written in Delphi and Lazarus/FreePascal
Executes a batch of SQL queries and displays each query's result in a separate tab.
Apache Hive is a SQL-on-Hadoop data warehouse that enables querying and managing petabytes of data stored in distributed storage such as HDFS and cloud storage services. It provides a familiar SQL interface for batch analytics and reporting, supported by a core set of components including the HiveServer2 Thrift service for remote query execution, the Hive Metastore Service for central metadata management, the Hive ACID Transaction Engine for concurrent read-write operations, and the Hive LLAP Interactive Engine for low-latency analytical processing. The WebHCat REST API offers an HTTP interfac
Executes HiveQL statements from a shell utility in both interactive and batch script modes.
ann-benchmarks is a standardized benchmarking suite for evaluating approximate nearest neighbor (ANN) search algorithms. It provides a reproducible framework for comparing how different ANN implementations perform across multiple datasets and distance measures, using precomputed ground truth results stored in HDF5 files to ensure consistent accuracy measurements. The project wraps each ANN library behind a common Python interface, allowing algorithms to be swapped without modifying the benchmarking harness. It orchestrates parameter sweeps over algorithm-specific hyperparameters to generate f
Runs all queries in a single batch against each index to measure throughput and latency.
Buck2 este un instrument de build pentru monorepo programabil și un sistem de build ermetic conceput pentru a gestiona proiecte la scară largă cu grafuri de ținte complexe și dependențe multi-limbaj. Acesta funcționează ca un framework de execuție la distanță și analizor de grafuri de dependență, oferind un motor de caching al artefactelor pentru a asigura rezultate de build reproductibile și consistente în diferite medii. Sistemul se distinge printr-un motor de calcul incremental care recomputează doar nodurile specifice dintr-un graf de dependență invalidate de modificări. Utilizează stocarea adresabilă prin conținut pentru caching-ul artefactelor de build și suportă execuția la distanță de tip racing, unde acțiunile de build sunt executate local și la distanță simultan pentru a returna cel mai rapid rezultat. Suprafața sa de capabilități acoperă automatizarea build-ului multi-limbaj, abstractizarea toolchain-ului și configurarea bazată pe constrângeri pentru gestionarea variantelor de build pe diferite platforme. Proiectul include, de asemenea, instrumente de observabilitate a build-ului pentru introspecția grafului și detectarea modificărilor, precum și mecanisme de control al accesului pentru restricționarea vizibilității țintelor.
Executes a single query expression repeatedly across multiple targets to retrieve batched results.
doggo is a multi-protocol DNS lookup client, performance analyzer, and diagnostic troubleshooting tool. It functions as a command-line utility for performing DNS queries across various transport protocols, including UDP, TCP, HTTPS, TLS, and QUIC. The project distinguishes itself through a focus on secure and distributed resolution. It implements encrypted DNS standards such as DNS over HTTPS, DNS over QUIC, and DNSCrypt, and provides DNSSEC validation to verify chains of trust for signed domains. Additionally, it can execute queries from global geographic locations via an external API to ana
Reads a list of domains from a file and executes DNS lookups for all entries iteratively.