Query processing for an extremely simple, in-memory, columnar database using Apache Arrow to represent tables
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Updated
Oct 25, 2021 - C++
Query processing for an extremely simple, in-memory, columnar database using Apache Arrow to represent tables
Short example showing how to use GCS with Arrow C++
Short demonstration of Apache Arrow's CSV readers
Instructions how to install and compile a simple app for reading a parquet file in C++.
HASH uses Apache Arrow within hEngine for in-memory columnar data representation and zero-copy reads.
Minimal example of including Arrow in a C++ project using CMake and FetchContent
Neural networks framework heterogeneous, parallel supercomputed on distrubuted network superclusters.
Various examples related to Apache Arrow Flight.
Various Arrow C++ examples
Apache Arrow Chinese Document. Apache Arrow 中文文档手册
Simplify accessing hardware compression/decompression accelerators
A C++ library for easily writing Parquet files containing columns of (mostly) any type you wish.
Implementation connecting Arrow to Spark, effectively making all code related to reading in Spark redundant.
Query processing for an extremely simple, in-memory, columnar database using Apache Arrow to represent tables
In-memory, columnar, arrow-based database.
C++20 idiomatic APIs for the Apache Arrow Columnar Format
Apache Arrow ADBC bindings for Elixir
Pod5: a high performance file format for nanopore reads.
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
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