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Support HTTP authentication in non-streaming mode #7082

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merged 5 commits into from
Aug 8, 2024

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@albertvillanova albertvillanova commented Jul 30, 2024

Support HTTP authentication in non-streaming mode, by support passing HTTP storage_options in non-streaming mode.

  • Note that currently, HTTP authentication is supported only in streaming mode.

For example, this is necessary if a remote HTTP host requires authentication to download the data.

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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

@albertvillanova albertvillanova changed the title Support passing HTTP storage_options in non-streaming mode Support HTTP authentication in non-streaming mode Jul 30, 2024
@albertvillanova albertvillanova marked this pull request as ready for review July 31, 2024 08:58
@albertvillanova albertvillanova merged commit d298f55 into main Aug 8, 2024
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@albertvillanova albertvillanova deleted the support-http-storage-options branch August 8, 2024 08:24
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github-actions bot commented Aug 8, 2024

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric read_batch_formatted_as_numpy after write_array2d read_batch_formatted_as_numpy after write_flattened_sequence read_batch_formatted_as_numpy after write_nested_sequence read_batch_unformated after write_array2d read_batch_unformated after write_flattened_sequence read_batch_unformated after write_nested_sequence read_col_formatted_as_numpy after write_array2d read_col_formatted_as_numpy after write_flattened_sequence read_col_formatted_as_numpy after write_nested_sequence read_col_unformated after write_array2d read_col_unformated after write_flattened_sequence read_col_unformated after write_nested_sequence read_formatted_as_numpy after write_array2d read_formatted_as_numpy after write_flattened_sequence read_formatted_as_numpy after write_nested_sequence read_unformated after write_array2d read_unformated after write_flattened_sequence read_unformated after write_nested_sequence write_array2d write_flattened_sequence write_nested_sequence
new / old (diff) 0.005280 / 0.011353 (-0.006073) 0.003726 / 0.011008 (-0.007282) 0.067028 / 0.038508 (0.028520) 0.030833 / 0.023109 (0.007724) 0.256888 / 0.275898 (-0.019010) 0.271252 / 0.323480 (-0.052228) 0.003149 / 0.007986 (-0.004836) 0.004031 / 0.004328 (-0.000298) 0.051178 / 0.004250 (0.046927) 0.042751 / 0.037052 (0.005699) 0.268385 / 0.258489 (0.009896) 0.295547 / 0.293841 (0.001706) 0.030218 / 0.128546 (-0.098328) 0.012033 / 0.075646 (-0.063613) 0.206389 / 0.419271 (-0.212882) 0.036227 / 0.043533 (-0.007306) 0.258778 / 0.255139 (0.003639) 0.276027 / 0.283200 (-0.007172) 0.020309 / 0.141683 (-0.121374) 1.109689 / 1.452155 (-0.342466) 1.139979 / 1.492716 (-0.352738)

Benchmark: benchmark_getitem_100B.json

metric get_batch_of_1024_random_rows get_batch_of_1024_rows get_first_row get_last_row
new / old (diff) 0.093615 / 0.018006 (0.075609) 0.301279 / 0.000490 (0.300789) 0.000207 / 0.000200 (0.000007) 0.000048 / 0.000054 (-0.000007)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.018697 / 0.037411 (-0.018715) 0.062627 / 0.014526 (0.048101) 0.075119 / 0.176557 (-0.101438) 0.119960 / 0.737135 (-0.617175) 0.074606 / 0.296338 (-0.221732)

Benchmark: benchmark_iterating.json

metric read 5000 read 50000 read_batch 50000 10 read_batch 50000 100 read_batch 50000 1000 read_formatted numpy 5000 read_formatted pandas 5000 read_formatted tensorflow 5000 read_formatted torch 5000 read_formatted_batch numpy 5000 10 read_formatted_batch numpy 5000 1000 shuffled read 5000 shuffled read 50000 shuffled read_batch 50000 10 shuffled read_batch 50000 100 shuffled read_batch 50000 1000 shuffled read_formatted numpy 5000 shuffled read_formatted_batch numpy 5000 10 shuffled read_formatted_batch numpy 5000 1000
new / old (diff) 0.281042 / 0.215209 (0.065833) 2.746232 / 2.077655 (0.668578) 1.422351 / 1.504120 (-0.081769) 1.290087 / 1.541195 (-0.251108) 1.321067 / 1.468490 (-0.147423) 0.727514 / 4.584777 (-3.857263) 2.407086 / 3.745712 (-1.338626) 2.914191 / 5.269862 (-2.355670) 1.872206 / 4.565676 (-2.693471) 0.079538 / 0.424275 (-0.344738) 0.005250 / 0.007607 (-0.002357) 0.335536 / 0.226044 (0.109491) 3.324922 / 2.268929 (1.055994) 1.790688 / 55.444624 (-53.653936) 1.475738 / 6.876477 (-5.400739) 1.492465 / 2.142072 (-0.649607) 0.812342 / 4.805227 (-3.992885) 0.135036 / 6.500664 (-6.365628) 0.041484 / 0.075469 (-0.033985)

Benchmark: benchmark_map_filter.json

metric filter map fast-tokenizer batched map identity map identity batched map no-op batched map no-op batched numpy map no-op batched pandas map no-op batched pytorch map no-op batched tensorflow
new / old (diff) 0.948425 / 1.841788 (-0.893363) 11.321564 / 8.074308 (3.247256) 9.635661 / 10.191392 (-0.555731) 0.142793 / 0.680424 (-0.537631) 0.014988 / 0.534201 (-0.519213) 0.300209 / 0.579283 (-0.279074) 0.262303 / 0.434364 (-0.172061) 0.337927 / 0.540337 (-0.202411) 0.427962 / 1.386936 (-0.958975)
PyArrow==latest
Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric read_batch_formatted_as_numpy after write_array2d read_batch_formatted_as_numpy after write_flattened_sequence read_batch_formatted_as_numpy after write_nested_sequence read_batch_unformated after write_array2d read_batch_unformated after write_flattened_sequence read_batch_unformated after write_nested_sequence read_col_formatted_as_numpy after write_array2d read_col_formatted_as_numpy after write_flattened_sequence read_col_formatted_as_numpy after write_nested_sequence read_col_unformated after write_array2d read_col_unformated after write_flattened_sequence read_col_unformated after write_nested_sequence read_formatted_as_numpy after write_array2d read_formatted_as_numpy after write_flattened_sequence read_formatted_as_numpy after write_nested_sequence read_unformated after write_array2d read_unformated after write_flattened_sequence read_unformated after write_nested_sequence write_array2d write_flattened_sequence write_nested_sequence
new / old (diff) 0.005664 / 0.011353 (-0.005689) 0.003946 / 0.011008 (-0.007062) 0.050034 / 0.038508 (0.011526) 0.031652 / 0.023109 (0.008543) 0.281139 / 0.275898 (0.005241) 0.299203 / 0.323480 (-0.024277) 0.004332 / 0.007986 (-0.003653) 0.002769 / 0.004328 (-0.001560) 0.048336 / 0.004250 (0.044086) 0.039744 / 0.037052 (0.002692) 0.289344 / 0.258489 (0.030855) 0.320470 / 0.293841 (0.026629) 0.032372 / 0.128546 (-0.096174) 0.012090 / 0.075646 (-0.063557) 0.060838 / 0.419271 (-0.358433) 0.034227 / 0.043533 (-0.009306) 0.275007 / 0.255139 (0.019868) 0.293455 / 0.283200 (0.010256) 0.017203 / 0.141683 (-0.124480) 1.141577 / 1.452155 (-0.310578) 1.176761 / 1.492716 (-0.315955)

Benchmark: benchmark_getitem_100B.json

metric get_batch_of_1024_random_rows get_batch_of_1024_rows get_first_row get_last_row
new / old (diff) 0.093562 / 0.018006 (0.075556) 0.302695 / 0.000490 (0.302205) 0.000215 / 0.000200 (0.000015) 0.000044 / 0.000054 (-0.000011)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.022638 / 0.037411 (-0.014774) 0.078788 / 0.014526 (0.064262) 0.088474 / 0.176557 (-0.088082) 0.128421 / 0.737135 (-0.608714) 0.089297 / 0.296338 (-0.207041)

Benchmark: benchmark_iterating.json

metric read 5000 read 50000 read_batch 50000 10 read_batch 50000 100 read_batch 50000 1000 read_formatted numpy 5000 read_formatted pandas 5000 read_formatted tensorflow 5000 read_formatted torch 5000 read_formatted_batch numpy 5000 10 read_formatted_batch numpy 5000 1000 shuffled read 5000 shuffled read 50000 shuffled read_batch 50000 10 shuffled read_batch 50000 100 shuffled read_batch 50000 1000 shuffled read_formatted numpy 5000 shuffled read_formatted_batch numpy 5000 10 shuffled read_formatted_batch numpy 5000 1000
new / old (diff) 0.302669 / 0.215209 (0.087459) 2.963855 / 2.077655 (0.886200) 1.600053 / 1.504120 (0.095933) 1.461456 / 1.541195 (-0.079739) 1.469877 / 1.468490 (0.001387) 0.725752 / 4.584777 (-3.859025) 0.968970 / 3.745712 (-2.776742) 2.910502 / 5.269862 (-2.359359) 1.902762 / 4.565676 (-2.662914) 0.079977 / 0.424275 (-0.344298) 0.005582 / 0.007607 (-0.002025) 0.351626 / 0.226044 (0.125581) 3.520593 / 2.268929 (1.251664) 1.968950 / 55.444624 (-53.475675) 1.662190 / 6.876477 (-5.214286) 1.677909 / 2.142072 (-0.464163) 0.791541 / 4.805227 (-4.013687) 0.134647 / 6.500664 (-6.366017) 0.040687 / 0.075469 (-0.034782)

Benchmark: benchmark_map_filter.json

metric filter map fast-tokenizer batched map identity map identity batched map no-op batched map no-op batched numpy map no-op batched pandas map no-op batched pytorch map no-op batched tensorflow
new / old (diff) 1.028885 / 1.841788 (-0.812903) 11.928358 / 8.074308 (3.854050) 10.199165 / 10.191392 (0.007773) 0.142930 / 0.680424 (-0.537493) 0.016479 / 0.534201 (-0.517722) 0.302993 / 0.579283 (-0.276290) 0.128878 / 0.434364 (-0.305486) 0.342591 / 0.540337 (-0.197747) 0.456735 / 1.386936 (-0.930201)

albertvillanova added a commit that referenced this pull request Aug 13, 2024
* Refactor cached_path

* Fix for empty storage_options

* Allow passing HTTP storage options

* Test HTTP storage_options passed by cached_path to get_from_cache

Test cached_path passes HTTP storage options to get_from_cache only if passed in DownloadConfig

* Test HTTP fsspec is called only if passed HTTP storage_options
albertvillanova added a commit that referenced this pull request Aug 13, 2024
* Refactor cached_path

* Fix for empty storage_options

* Allow passing HTTP storage options

* Test HTTP storage_options passed by cached_path to get_from_cache

Test cached_path passes HTTP storage options to get_from_cache only if passed in DownloadConfig

* Test HTTP fsspec is called only if passed HTTP storage_options
albertvillanova added a commit that referenced this pull request Aug 14, 2024
* Refactor cached_path

* Fix for empty storage_options

* Allow passing HTTP storage options

* Test HTTP storage_options passed by cached_path to get_from_cache

Test cached_path passes HTTP storage options to get_from_cache only if passed in DownloadConfig

* Test HTTP fsspec is called only if passed HTTP storage_options
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