Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
csv csv-parser parser parse parsing delimited text data auto-detect comma tab pipe file filereader stream worker workers thread threading multi-threaded jquery-pluginPhoton is a lightweight multi-threaded downloader based on aria2. It supports HTTP/HTTPS, Magnet links, BitTorrent and Metalink. Photon is cross platform. It has macOS and Windows releases now and will have Linux release soon.
downloader download multi-threaded aria2 cross-platformManaging large application state easily, resiliently, and with high performance is one of the hardest problems in the cloud today. The FASTER project offers two artifacts to help tackle this problem. FASTER Log is a high-performance concurrent persistent recoverable log, iterator, and random reader library in C#. FASTER KV is a concurrent key-value store + cache (available in C# and C++) that is designed for point lookups and heavy updates.
key-value cache library logging persistent indexing concurrent hash-table key-value-store multi-threaded recoverablePapa doesn't have to be accessed by the window object. Use dependency injection instead. Great for unit test and do everything in the Angular manner. Add ngPapaParse as a module dependency to your app after including the angular-PapaParse.js script and inject Papa anywhere you need.
angular wrapper csv parser parse parsing delimited text data auto-detect comma tab pipe file filereader stream worker workers thread threading multi-threadedThe number of workers that should be started. It probably has no use to start more workers then number of processors in your system. To even the load between workers they are sent batches of routes to generate, otherwise a worker with 'easy' routes might finish long before others. Workers will also still use the concurrency option from Nuxt.
nuxt generator multi-threaded cluster generate multithreadSimply include reader.hpp and you're good to go. To start parsing CSV files, create a csv::Reader object and call .read(filename).
csv-parser header-only concurrent-queue library mit-license fast multi-threaded robin-map cpp17
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