Libraries tagged by large array

Streaming parser for large JSON files containing array of objects

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Minimalistic, lightweight library for converting PHP data types to readable strings. Great for type-safe outputs, exception messages, transparency during debugging, and similar things. Also helps avoiding innate problems such as printing recursive objects and large arrays.

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Cast any PHP value to a sensible, human readable string. Great for type-safe outputs, exception messages, transparency during debugging, and similar things. Also helps avoiding innate problems such as printing endless, circular referencing objects (endless recursion), limits the output for large arrays and long strings, and prevents (opt-in) the outputting of sensitive strings like passwords.

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Large Array Writer (sample: sitemap writer)

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Easily build your GraphQL schema for webonyx/graphql-php using PHP attributes instead of large configuration arrays.

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Generate large amounts of multidimensional arrays without effort

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Array for big data, big array, large array, memory array

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a PHP package for searching values in large arrays faster

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Streaming parser for large JSON files containing array of objects

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Based on the wonderful work by Tom Westcott (https://packagist.org/packages/cyberdummy/gzstream) which provided most of the functionality I required. Allows for gzip compressed string streams to be used for holding data. This project was created because I wanted a way to store large database result sets more easily in memory (especially ones that were just going to be output as JSON in an API response), since using a regular PHP array resulted in large memory usage.

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The first version of the easybill REST API. [CHANGELOG](https://api.easybill.de/rest/v1/CHANGELOG.md) ## Authentication You can choose between two available methods: `Basic Auth` or `Bearer Token`. In each HTTP request, one of the following HTTP headers is required: ``` # Basic Auth Authorization: Basic base64_encode(':') # Bearer Token Authorization: Bearer ``` ## Limitations ### Request Limit * PLUS: 10 requests per minute * BUSINESS: 60 requests per minute If the limit is exceeded, you will receive the HTTP error: `429 Too Many Requests` ### Result Limit All result lists are limited to 100 by default. This limit can be increased by the query parameter `limit` to a maximum of 1000. ## Query filter Many list resources can be filtered. In `/documents` you can filter e.g. by number with `/documents?number=111028654`. If you want to filter multiple numbers, you can either enter them separated by commas `/documents?number=111028654,222006895` or as an array `/documents?number[]=111028654&number[]=222006895`. **Warning**: The maximum size of an HTTP request line in bytes is 4094. If this limit is exceeded, you will receive the HTTP error: `414 Request-URI Too Large` ### Escape commas in query You can escape commans in query `name=Patrick\, Peter` if you submit the header `X-Easybill-Escape: true` in your request. ## Property login_id This is the login of your admin or employee account. ## Date and Date-Time format Please use the timezone `Europe/Berlin`. * **date** = *Y-m-d* = `2016-12-31` * **date-time** = *Y-m-d H:i:s* = `2016-12-31 03:13:37` Date or datetime can be `null` because the attributes have been added later and the entry is older.

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An alternative way to handle large volumn of integer or short string as array in memory efficient way.

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The assegai/common package is a collection of commonly used utility classes and functions for AssegaiPHP projects. This package provides a set of tools that are designed to make it easier for developers to perform common tasks such as working with arrays, strings, and paths. The package also includes classes for handling errors and logging, as well as a simple yet powerful configuration management system. The package is designed to be lightweight, with minimal dependencies, and is fully compatible with any AssegaiPHP based project. Whether you're building a small web application or a large enterprise system, assegai/common provides the essential building blocks you need to get started quickly and easily.

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Converts small/large xml files by the data structure of given array with minimum memory consumption.

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