# HDFql version 2.5.0

**URL:** <https://forum.hdfgroup.org/t/hdfql-version-2-5-0/11502>\
**Category:** Uncategorized\
**Created:** [September 5, 2023, 5:19am UTC](https://forum.hdfgroup.org/t/hdfql-version-2-5-0/11502 "2023-09-05T05:19:42Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![contact](https://forum.hdfgroup.org/user_avatar/forum.hdfgroup.org/contact/32/1067_2.png) [@contact](https://forum.hdfgroup.org/u/contact)\
**Post date:** [September 5, 2023, 5:19am UTC](https://forum.hdfgroup.org/t/hdfql-version-2-5-0/11502/1 "2023-09-05T05:19:42Z")

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We are happy to announce the release of [HDFql](https://www.hdfql.com) 2.5.0!

This version includes:

- Added support for sliding cursors (to enable reading a dataset that does not fit in (RAM) memory in a sliding fashion through a cursor, allowing a user to (seamlessly) load/process the dataset in an out-of-core manner)

- Added support to create a dataset/attribute based on the characteristics (i.e. data type and dimensions) of the input redirecting (e.g. when executing “CREATE DATASET my\_dataset VALUES FROM BINARY FILE my\_file.bin”, a dataset named “my\_dataset” is created with the appropriate data type and dimensions to store all the data from a binary file named “my\_file.bin”, alleviating the user from specifying these)

- Improved performance and memory footprint of a cursor populated with values from datasets/attributes (thanks to a zero-copy policy which reutilizes the buffer used to read these - e.g. given a dataset of data type INT of three dimensions (size 100x1024x1024), it is 10x faster and takes 15x less memory to populate a cursor with values from the dataset in comparison with the previous version of HDFql)

- Added support to write a result set into a dataset/attribute (e.g. when executing “SHOW FILE INTO DATASET my\_dataset”, a dataset named “my\_dataset” is created (if it does not exist) with the appropriate data type and dimensions to store all the names of files found in the directory currently in use)

(Please check the [release notes](https://www.hdfql.com/resources/RELEASE.txt) for further details and some [examples](https://www.hdfql.com/examples) that illustrate how HDFql works)