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TreeStore: Endowing Your Data with Hierarchical Structure
When working with large and complex datasets, having a way to organize your data efficiently is crucial. blosc2.TreeStore is a powerful feature in the blosc2 library that allows you to store and manag
This structure is ideal for scenarios where data has a natural hierarchy, such as in scientific experiments, simulations, or any project with multiple related datasets. The reason for this is two-fold: first, TreeStore is designed to work using multi-threading, so it must setup the necessary threads at the beginning of the read operation, which takes some time; second, TreeStore is using NDArray objects internally, which are using a double partitioning scheme (chunks and blocks) to store the data, which adds some overhead when reading small slices of data. By merging the high-performance compression of blosc2.NDArray and blosc2.SChunk with a flexible, filesystem-like structure and metadata support, it stands out as an excellent choice for managing complex data projects.
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