We are happy to announce the release of HDFql 2.3.0!
This version includes:
– Added support for writing/reading values into/from datasets/attributes from/into EXCEL files (with no EXCEL dependency or OLE automation) – thanks to Dmytro for sponsoring HDFql with a free LibXL license to handle EXCEL files.
– Improved performance and memory footprint of a cursor populated with values from datasets/attributes of data type variable-length (e.g. given a dataset of data type VARINT of three dimensions [size 10x1024x1024] where each element has between 0 and 10 values, it is 2x faster and takes 3x less memory to populate a cursor with values from the dataset in comparison with the previous version of HDFql)
– Improved performance of the Java wrapper when writing/reading values into/from datasets/attributes from/into memory (e.g. given a dataset of data type INT of three dimensions [size 100x1024x1024], it is 2x faster to write values from memory and 4x faster to read values into memory in comparison with the previous version of the wrapper)
– Linked HDFqlCLI (command-line interface) against the readline static library (instead of the shared library) to avoid dependency issues when launching it in newer Linux and macOS versions – thanks to Quang (Ontario Institute for Cancer Research, Canada) for testing it.
(Please check the release notes for further details)
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