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Investigate dplyr rolling joins as alternative to data.table's for archive operations #265

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brookslogan opened this issue Feb 13, 2023 · 1 comment
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cleanup improvements to developing&building experience&quality, not directly to built pkg&docs P2 low priority performance

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@brookslogan
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If dplyr's rolling joins are performant, this may be one approach to getting away from reference semantics altogether.

@brookslogan brookslogan added P2 low priority cleanup improvements to developing&building experience&quality, not directly to built pkg&docs performance labels Feb 13, 2023
@brookslogan brookslogan self-assigned this Oct 20, 2023
@brookslogan
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Cursory initial testing revealed that dplyr took 2x the time, and polars and duckdb took similar time to, data.table, for as_of operations. polars and duckdb also involve more installation time. I still need to check if there are indexing features that might change the as_of performance comparison or extra features to consider.

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cleanup improvements to developing&building experience&quality, not directly to built pkg&docs P2 low priority performance
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