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Improve performance in JSON reader when mixed_types_as_string
option is enabled
#15236
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shrshi
added
libcudf
Affects libcudf (C++/CUDA) code.
Performance
Performance related issue
non-breaking
Non-breaking change
labels
Mar 5, 2024
The entire 30x slowdown was in the type inference? |
Yes, the slowdown seems to be due to long string sizes when mixed types is enabled. If we enforce the column to be a string in the JSON tree parser, we can skip the type inference kernel. |
/ok to test |
karthikeyann
approved these changes
Mar 6, 2024
vuule
approved these changes
Mar 6, 2024
GregoryKimball
changed the title
Performance improvement in JSON lines reader when
Improve performance in JSON reader when Mar 7, 2024
mixed_types_as_string
option is enabledmixed_types_as_string
option is enabled
/ok to test |
karthikeyann
reviewed
Mar 8, 2024
/ok to test |
/merge |
This was referenced Mar 8, 2024
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Labels
5 - Ready to Merge
Testing and reviews complete, ready to merge
improvement
Improvement / enhancement to an existing function
libcudf
Affects libcudf (C++/CUDA) code.
non-breaking
Non-breaking change
Performance
Performance related issue
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Description
Addresses #15196 by applying a patch from @karthikeyann to skip the
infer_column_type_kernel
by forcing the mixed types column to be a string.With this optimization, we see a significant improvement in performance. Please refer to the comment for a visualization of the results before and after applying this optimization as obtained from the JSON lines benchmarking exercise.
Checklist