Search Results for "loop"

...Marshal rows into structs (ScanStruct, Select). Unmarshal struct to row (AppendStruct). Connection pool Failover and load balancing. Bulk write support (for database/sql use begin->prepare->(in loop exec)->commit). AsyncInsert, named and numeric placeholders support. LZ4/ZSTD compression support. External data.

CloudNativePG is an open-source operator designed to manage PostgreSQL workloads on any supported Kubernetes cluster running in private, public, hybrid, or multi-cloud environments. The goal of CloudNativePG is to increase the adoption of PostgreSQL, one of the most loved DBMS in traditional VM and bare metal environments, inside Kubernetes, thus making the database an integral part of the development process and GitOps CI/CD automated pipelines. CloudNativePG has been designed by Postgres...

Motor is an asynchronous Python driver for MongoDB that enables developers to work with MongoDB using non-blocking I/O patterns, making it ideal for high-performance and scalable applications. Built on top of Python’s Tornado and asyncio frameworks, Motor lets you issue database operations without blocking the event loop, enabling concurrency in web servers, real-time systems, and microservices. It provides a familiar API surface similar to the official synchronous PyMongo driver, so you can migrate or write MongoDB code in Python without having to learn a completely new interface. Because it integrates with popular async ecosystems like FastAPI, Sanic, and aiohttp, Motor is a natural fit for modern async Python stacks where throughput and responsiveness matter. ...

MMOAP is the result of many MANY years spent in numerous IT environments and not having enough information on hand to make rational decisions. MMOAP is essentially a data gathering tool, specifically geared towards DBA's who need to interrogate SQL servers, and then store the results in a central repository, and then raises alerts on conditions of interest. MMOAP is like many commercial tools (SCOM, Idera, Spotlight, etc.) except MUCH simpler, and also like many homegrown solutions...

ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements *...

I see there is no way in MySQL to drop tables using wildcards like 'temp_%', this simple PHP will help us do the following. 1. specify databases like 'anything%', so you check only the databases you need to. 2. specify tables like 'temp_%' , 'temp3_%' in an array so any number of temp wildcards possible. 3. loop through all databases and tables matching to drop the temp tables. This makes it easy for you dropping many temp tables but be very careful about the wildcard, things may go completely wrong if you get the wildcard wrong.

News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck This is UNIDAPT (UNIversal aDAPTation) framework to enable run-time adaptability for statically compiled programs for different constraints (performance, power consumption, heterogeneous systems, etc) using function/loop-level multi-versioning.

Perf::Stopwatch is a Perl Module that can be quickly added and removed from any existing code to debug/optimize portions of code. Example of use are: database calls, loop efficiency, total script time, and webpage timeouts.

Many developers needlessly loop through data in an effort to present raw, normalized, data into a more readable, tabular format, not realizing; that, "characteristic functions" can accomplish the same goal, elegantly, and more efficiently.