| Apache Arrow Improves C++ Support |
| Written by Kay Ewbank | |||
| Thursday, 11 August 2022 | |||
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Apache Arrow has been updated with better support for C++, extensions to Flight SQL, and substantial improvements to the Parquet crate. Apache Arrow is a development platform for in-memory analytics. It has technologies that enable big data systems to process and move data fast..It is language independent, can be used for flat and hierarchical data, and the data store is organized for efficient analytic operations. It also provides computational libraries. Languages currently supported are C, C++, C#, Go, Java, JavaScript, Julia, MATLAB, Python, R, Ruby, and Rust.
The improvements to the new release start with Arrow Flight. Flight SQL has been extended with a method to get type metadata and column metadata in returned schemas. The C++ libraries now support UCX as a network transport, and the APIs have been reworked so other transports can be implemented, and to use the arrow::Result type. You also now have the option of building Arrow C++ with support for the experimental Substrait query representation format. Substrait is a project that aims to offer cross-language serialization for relational algebra. Support for temporal data is another area to have improvements, with a number of new compute kernels for operating on temporal data, so you can add, subtract and multiply between various temporal types, and new functions to check for daylight saving time and leap years. The Arrow parquet crate has also received substantial improvements in this release to improve the raw performance for reading and writing mirroring the efforts that went into the C++ version a few years ago. The API has also been improved so it is easy to use efficiently with modern Rust for two reading from local disks and reading asynchronously from remote object stores. Apache Arrow is available for download.
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