8 مستودعات
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 هي أداة بناء monorepo قابلة للبرمجة ونظام بناء محكم (hermetic) مصمم لإدارة المشاريع واسعة النطاق ذات الرسوم البيانية المستهدفة المعقدة وتبعيات اللغات المتعددة. تعمل كإطار عمل للتنفيذ عن بُعد ومحلل للرسم البياني للتبعية، وتوفر محرك تخزين مؤقت للقطع الأثرية (artifact) لضمان نتائج بناء قابلة لإعادة الإنتاج ومتسقة عبر بيئات مختلفة. يتميز النظام بمحرك حساب تزايدي يعيد حساب العقد المحددة فقط في الرسم البياني للتبعية التي تم إبطالها بسبب التغييرات. ويستخدم تخزيناً قابلاً للعنونة بالمحتوى لتخزين نتائج البناء مؤقتاً ويدعم سباق التنفيذ عن بُعد، حيث يتم تنفيذ إجراءات البناء محلياً وعن بُعد في وقت واحد لإرجاع النتيجة الأسرع. يغطي سطح قدراتها أتمتة البناء متعدد اللغات، وتجريد سلسلة الأدوات، والتكوين القائم على القيود لإدارة متغيرات البناء عبر المنصات. يتضمن المشروع أيضاً أدوات مراقبة البناء لاستبطان الرسم البياني واكتشاف التغييرات، بالإضافة إلى آليات التحكم في الوصول لتقييد رؤية الهدف.
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.