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Official Julia implementation of Apache Arrow

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Implements support for Arrow's RunEndEncoded (REE) layout as specified in the Arrow format specification. REE is a run-length encoding variant that efficiently stores arrays with repeated values using two child...

Fixes #184 # Implement Apache Arrow C Data Interface for Zero-Copy Interoperability ## Overview This PR implements the Apache Arrow C Data Interface specification to enable zero-copy data sharing between...

# Implement Dense Tensor Support via arrow.fixed_shape_tensor Extension Fixes #564 ## Overview This PR implements Apache Arrow's canonical `arrow.fixed_shape_tensor` extension type, enabling efficient storage and transport of multi-dimensional dense arrays...

### Overview The addition of Tensor support is valuable for positioning Arrow.jl as a great library for machine learning and scientific computing. These multi-dimensional data structures are currently unsupported but...

# Implement Comprehensive Sparse Tensor Support with COO, CSR/CSC, and CSF Formats Fixes #565 ## Overview This PR implements advanced sparse tensor support for Apache Arrow.jl, providing memory-efficient storage and...

### Overview The addition of Tensor support is valuable for positioning Arrow.jl as a great library for machine learning and scientific computing. These multi-dimensional data structures are currently unsupported but...

#172 added a warning. I think it is too expensive, and it may be better to just document the behavior instead. I am reading a 7760500 row table written by...