-
Notifications
You must be signed in to change notification settings - Fork 902
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Support structs column in min
, max
, argmin
and argmax
groupby aggregate() and scan()
#9545
Merged
rapids-bot
merged 53 commits into
rapidsai:branch-21.12
from
ttnghia:min_max_for_structs
Nov 10, 2021
Merged
Support structs column in min
, max
, argmin
and argmax
groupby aggregate() and scan()
#9545
rapids-bot
merged 53 commits into
rapidsai:branch-21.12
from
ttnghia:min_max_for_structs
Nov 10, 2021
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…s column has structs
ttnghia
added
feature request
New feature or request
3 - Ready for Review
Ready for review by team
libcudf
Affects libcudf (C++/CUDA) code.
Spark
Functionality that helps Spark RAPIDS
non-breaking
Non-breaking change
labels
Oct 28, 2021
jrhemstad
reviewed
Oct 28, 2021
jrhemstad
reviewed
Oct 28, 2021
jrhemstad
reviewed
Oct 28, 2021
jrhemstad
reviewed
Oct 28, 2021
jrhemstad
reviewed
Oct 28, 2021
Below is the benchmark result comparing functor Before (with inlining, and that can't be compiled on CI machines):
After---latest code (without inlining, can compile on CI machines):
The two results are very comparable. The new result is even faster in some cases instead of slower. |
davidwendt
approved these changes
Nov 9, 2021
jrhemstad
approved these changes
Nov 10, 2021
@gpucibot merge |
rapids-bot bot
pushed a commit
that referenced
this pull request
Dec 13, 2021
) The following fixes what looks like an unintended fallback to sort aggregate introduced in #9545 for a grouping only (no aggregation request) case. In the PR, the `std::all_of` function is used to determine whether the aggregation requests would be for struct types. That said, when there are no aggregation requests the `std::all_of` function will return true, causing a fallback to the sort aggregation (relevant code: https://github.com/rapidsai/cudf/pull/9545/files#diff-e409f72ddc11ad10fa0099e21b409b92f12bfac8ba1817266696c34a620aa081R645-R650). I added a benchmark `group_no_requests_benchmark.cu` by mostly copying `group_sum_benchmark.cu` but I changed one critical part. I am re-creating the `groupby` object for each `state`: ``` for (auto _ : state) { cuda_event_timer timer(state, true); cudf::groupby::groupby gb_obj(cudf::table_view({keys}));e auto result = gb_obj.aggregate(requests); } ``` This shows what would happen in the scenario where the `groupby` instance is created each time an aggregate is issued, which would re-create the `helper` each time for the sorted case. If the `groupby` object is not recreated each time, the difference in performance between the before/after cases is negligible. We never recycle a `groupby` instance when using the groupby API from Spark. Posting this as draft for feedback as I am not sure if I handled the benchmark part correctly. This was executed on a T4 GPU. Before the patch: ``` Groupby/BasicNoRequest/10000/manual_time 0.158 ms 0.184 ms 4420 Groupby/BasicNoRequest/1000000/manual_time 1.72 ms 1.74 ms 408 Groupby/BasicNoRequest/10000000/manual_time 18.9 ms 18.9 ms 37 Groupby/BasicNoRequest/100000000/manual_time 198 ms 198 ms 3 ``` <details> <summary>Full output</summary> <p> ``` 2021-12-12T13:41:08+00:00 Running ./GROUPBY_BENCH Run on (64 X 2801.89 MHz CPU s) CPU Caches: L1 Data 32 KiB (x32) L1 Instruction 32 KiB (x32) L2 Unified 1024 KiB (x32) L3 Unified 22528 KiB (x2) Load Average: 1.01, 0.78, 0.42 -------------------------------------------------------------------------------------------- Benchmark Time CPU Iterations -------------------------------------------------------------------------------------------- Groupby/Basic/10000/manual_time 0.117 ms 0.143 ms 5906 Groupby/Basic/1000000/manual_time 0.524 ms 0.542 ms 1352 Groupby/Basic/10000000/manual_time 4.41 ms 4.43 ms 159 Groupby/Basic/100000000/manual_time 50.1 ms 50.1 ms 13 Groupby/PreSorted/1000000/manual_time 0.332 ms 0.350 ms 2118 Groupby/PreSorted/10000000/manual_time 2.22 ms 2.23 ms 315 Groupby/PreSorted/100000000/manual_time 22.2 ms 22.2 ms 30 Groupby/PreSortedNth/1000000/manual_time 0.160 ms 0.188 ms 4381 Groupby/PreSortedNth/10000000/manual_time 0.890 ms 0.917 ms 774 Groupby/PreSortedNth/100000000/manual_time 8.43 ms 8.46 ms 68 Groupby/Shift/1000000/manual_time 0.764 ms 0.785 ms 902 Groupby/Shift/10000000/manual_time 9.51 ms 9.53 ms 63 Groupby/Shift/100000000/manual_time 145 ms 145 ms 4 Groupby/Aggregation/10000/manual_time 1.56 ms 1.58 ms 442 Groupby/Aggregation/16384/manual_time 1.59 ms 1.62 ms 435 Groupby/Aggregation/65536/manual_time 1.73 ms 1.76 ms 404 Groupby/Aggregation/262144/manual_time 2.95 ms 2.98 ms 237 Groupby/Aggregation/1048576/manual_time 9.20 ms 9.23 ms 73 Groupby/Aggregation/4194304/manual_time 36.3 ms 36.3 ms 19 Groupby/Aggregation/10000000/manual_time 92.0 ms 92.1 ms 7 Groupby/Scan/10000/manual_time 1.56 ms 1.58 ms 447 Groupby/Scan/16384/manual_time 1.62 ms 1.65 ms 429 Groupby/Scan/65536/manual_time 1.85 ms 1.88 ms 378 Groupby/Scan/262144/manual_time 3.54 ms 3.56 ms 197 Groupby/Scan/1048576/manual_time 12.0 ms 12.0 ms 57 Groupby/Scan/4194304/manual_time 48.6 ms 48.6 ms 14 Groupby/Scan/10000000/manual_time 126 ms 126 ms 4 Groupby/BasicNoRequest/10000/manual_time 0.158 ms 0.184 ms 4420 Groupby/BasicNoRequest/1000000/manual_time 1.72 ms 1.74 ms 408 Groupby/BasicNoRequest/10000000/manual_time 18.9 ms 18.9 ms 37 Groupby/BasicNoRequest/100000000/manual_time 198 ms 198 ms 3 Groupby/PreSortedNoRequests/1000000/manual_time 0.194 ms 0.214 ms 3624 Groupby/PreSortedNoRequests/10000000/manual_time 1.25 ms 1.27 ms 571 Groupby/PreSortedNoRequests/100000000/manual_time 12.6 ms 12.7 ms 50 ``` </details> After the patch: ``` Groupby/BasicNoRequest/10000/manual_time 0.058 ms 0.085 ms 11991 Groupby/BasicNoRequest/1000000/manual_time 0.282 ms 0.301 ms 2478 Groupby/BasicNoRequest/10000000/manual_time 2.42 ms 2.44 ms 291 Groupby/BasicNoRequest/100000000/manual_time 29.2 ms 29.2 ms 21 ``` <details> <summary>Full output</summary> <p> ``` 2021-12-12T13:37:50+00:00 Running ./GROUPBY_BENCH Run on (64 X 2654.22 MHz CPU s) CPU Caches: L1 Data 32 KiB (x32) L1 Instruction 32 KiB (x32) L2 Unified 1024 KiB (x32) L3 Unified 22528 KiB (x2) Load Average: 0.64, 0.50, 0.26 -------------------------------------------------------------------------------------------- Benchmark Time CPU Iterations -------------------------------------------------------------------------------------------- Groupby/Basic/10000/manual_time 0.116 ms 0.142 ms 5918 Groupby/Basic/1000000/manual_time 0.523 ms 0.542 ms 1374 Groupby/Basic/10000000/manual_time 4.37 ms 4.39 ms 162 Groupby/Basic/100000000/manual_time 51.4 ms 51.5 ms 10 Groupby/PreSorted/1000000/manual_time 0.331 ms 0.350 ms 2121 Groupby/PreSorted/10000000/manual_time 2.21 ms 2.23 ms 316 Groupby/PreSorted/100000000/manual_time 22.2 ms 22.2 ms 27 Groupby/PreSortedNth/1000000/manual_time 0.160 ms 0.188 ms 4384 Groupby/PreSortedNth/10000000/manual_time 0.888 ms 0.915 ms 775 Groupby/PreSortedNth/100000000/manual_time 8.36 ms 8.39 ms 70 Groupby/Shift/1000000/manual_time 0.764 ms 0.785 ms 904 Groupby/Shift/10000000/manual_time 9.50 ms 9.52 ms 63 Groupby/Shift/100000000/manual_time 146 ms 146 ms 4 Groupby/Aggregation/10000/manual_time 1.53 ms 1.55 ms 446 Groupby/Aggregation/16384/manual_time 1.58 ms 1.61 ms 437 Groupby/Aggregation/65536/manual_time 1.72 ms 1.75 ms 405 Groupby/Aggregation/262144/manual_time 2.93 ms 2.96 ms 236 Groupby/Aggregation/1048576/manual_time 9.18 ms 9.21 ms 74 Groupby/Aggregation/4194304/manual_time 36.2 ms 36.3 ms 19 Groupby/Aggregation/10000000/manual_time 91.5 ms 91.6 ms 7 Groupby/Scan/10000/manual_time 1.55 ms 1.57 ms 452 Groupby/Scan/16384/manual_time 1.60 ms 1.62 ms 434 Groupby/Scan/65536/manual_time 1.84 ms 1.87 ms 379 Groupby/Scan/262144/manual_time 3.54 ms 3.56 ms 198 Groupby/Scan/1048576/manual_time 12.0 ms 12.0 ms 57 Groupby/Scan/4194304/manual_time 48.4 ms 48.4 ms 14 Groupby/Scan/10000000/manual_time 125 ms 125 ms 4 Groupby/BasicNoRequest/10000/manual_time 0.058 ms 0.085 ms 11991 Groupby/BasicNoRequest/1000000/manual_time 0.282 ms 0.301 ms 2478 Groupby/BasicNoRequest/10000000/manual_time 2.42 ms 2.44 ms 291 Groupby/BasicNoRequest/100000000/manual_time 29.2 ms 29.2 ms 21 Groupby/PreSortedNoRequests/1000000/manual_time 0.195 ms 0.215 ms 3604 Groupby/PreSortedNoRequests/10000000/manual_time 1.25 ms 1.27 ms 575 Groupby/PreSortedNoRequests/100000000/manual_time 12.7 ms 12.8 ms 50 ``` </details> Authors: - Alessandro Bellina (https://github.com/abellina) Approvers: - Jake Hemstad (https://github.com/jrhemstad) - Nghia Truong (https://github.com/ttnghia) - Conor Hoekstra (https://github.com/codereport) URL: #9891
abellina
added a commit
to abellina/cudf
that referenced
this pull request
Dec 14, 2021
…pidsai#9891) The following fixes what looks like an unintended fallback to sort aggregate introduced in rapidsai#9545 for a grouping only (no aggregation request) case. In the PR, the `std::all_of` function is used to determine whether the aggregation requests would be for struct types. That said, when there are no aggregation requests the `std::all_of` function will return true, causing a fallback to the sort aggregation (relevant code: https://github.com/rapidsai/cudf/pull/9545/files#diff-e409f72ddc11ad10fa0099e21b409b92f12bfac8ba1817266696c34a620aa081R645-R650). I added a benchmark `group_no_requests_benchmark.cu` by mostly copying `group_sum_benchmark.cu` but I changed one critical part. I am re-creating the `groupby` object for each `state`: ``` for (auto _ : state) { cuda_event_timer timer(state, true); cudf::groupby::groupby gb_obj(cudf::table_view({keys}));e auto result = gb_obj.aggregate(requests); } ``` This shows what would happen in the scenario where the `groupby` instance is created each time an aggregate is issued, which would re-create the `helper` each time for the sorted case. If the `groupby` object is not recreated each time, the difference in performance between the before/after cases is negligible. We never recycle a `groupby` instance when using the groupby API from Spark. Posting this as draft for feedback as I am not sure if I handled the benchmark part correctly. This was executed on a T4 GPU. Before the patch: ``` Groupby/BasicNoRequest/10000/manual_time 0.158 ms 0.184 ms 4420 Groupby/BasicNoRequest/1000000/manual_time 1.72 ms 1.74 ms 408 Groupby/BasicNoRequest/10000000/manual_time 18.9 ms 18.9 ms 37 Groupby/BasicNoRequest/100000000/manual_time 198 ms 198 ms 3 ``` <details> <summary>Full output</summary> <p> ``` 2021-12-12T13:41:08+00:00 Running ./GROUPBY_BENCH Run on (64 X 2801.89 MHz CPU s) CPU Caches: L1 Data 32 KiB (x32) L1 Instruction 32 KiB (x32) L2 Unified 1024 KiB (x32) L3 Unified 22528 KiB (x2) Load Average: 1.01, 0.78, 0.42 -------------------------------------------------------------------------------------------- Benchmark Time CPU Iterations -------------------------------------------------------------------------------------------- Groupby/Basic/10000/manual_time 0.117 ms 0.143 ms 5906 Groupby/Basic/1000000/manual_time 0.524 ms 0.542 ms 1352 Groupby/Basic/10000000/manual_time 4.41 ms 4.43 ms 159 Groupby/Basic/100000000/manual_time 50.1 ms 50.1 ms 13 Groupby/PreSorted/1000000/manual_time 0.332 ms 0.350 ms 2118 Groupby/PreSorted/10000000/manual_time 2.22 ms 2.23 ms 315 Groupby/PreSorted/100000000/manual_time 22.2 ms 22.2 ms 30 Groupby/PreSortedNth/1000000/manual_time 0.160 ms 0.188 ms 4381 Groupby/PreSortedNth/10000000/manual_time 0.890 ms 0.917 ms 774 Groupby/PreSortedNth/100000000/manual_time 8.43 ms 8.46 ms 68 Groupby/Shift/1000000/manual_time 0.764 ms 0.785 ms 902 Groupby/Shift/10000000/manual_time 9.51 ms 9.53 ms 63 Groupby/Shift/100000000/manual_time 145 ms 145 ms 4 Groupby/Aggregation/10000/manual_time 1.56 ms 1.58 ms 442 Groupby/Aggregation/16384/manual_time 1.59 ms 1.62 ms 435 Groupby/Aggregation/65536/manual_time 1.73 ms 1.76 ms 404 Groupby/Aggregation/262144/manual_time 2.95 ms 2.98 ms 237 Groupby/Aggregation/1048576/manual_time 9.20 ms 9.23 ms 73 Groupby/Aggregation/4194304/manual_time 36.3 ms 36.3 ms 19 Groupby/Aggregation/10000000/manual_time 92.0 ms 92.1 ms 7 Groupby/Scan/10000/manual_time 1.56 ms 1.58 ms 447 Groupby/Scan/16384/manual_time 1.62 ms 1.65 ms 429 Groupby/Scan/65536/manual_time 1.85 ms 1.88 ms 378 Groupby/Scan/262144/manual_time 3.54 ms 3.56 ms 197 Groupby/Scan/1048576/manual_time 12.0 ms 12.0 ms 57 Groupby/Scan/4194304/manual_time 48.6 ms 48.6 ms 14 Groupby/Scan/10000000/manual_time 126 ms 126 ms 4 Groupby/BasicNoRequest/10000/manual_time 0.158 ms 0.184 ms 4420 Groupby/BasicNoRequest/1000000/manual_time 1.72 ms 1.74 ms 408 Groupby/BasicNoRequest/10000000/manual_time 18.9 ms 18.9 ms 37 Groupby/BasicNoRequest/100000000/manual_time 198 ms 198 ms 3 Groupby/PreSortedNoRequests/1000000/manual_time 0.194 ms 0.214 ms 3624 Groupby/PreSortedNoRequests/10000000/manual_time 1.25 ms 1.27 ms 571 Groupby/PreSortedNoRequests/100000000/manual_time 12.6 ms 12.7 ms 50 ``` </details> After the patch: ``` Groupby/BasicNoRequest/10000/manual_time 0.058 ms 0.085 ms 11991 Groupby/BasicNoRequest/1000000/manual_time 0.282 ms 0.301 ms 2478 Groupby/BasicNoRequest/10000000/manual_time 2.42 ms 2.44 ms 291 Groupby/BasicNoRequest/100000000/manual_time 29.2 ms 29.2 ms 21 ``` <details> <summary>Full output</summary> <p> ``` 2021-12-12T13:37:50+00:00 Running ./GROUPBY_BENCH Run on (64 X 2654.22 MHz CPU s) CPU Caches: L1 Data 32 KiB (x32) L1 Instruction 32 KiB (x32) L2 Unified 1024 KiB (x32) L3 Unified 22528 KiB (x2) Load Average: 0.64, 0.50, 0.26 -------------------------------------------------------------------------------------------- Benchmark Time CPU Iterations -------------------------------------------------------------------------------------------- Groupby/Basic/10000/manual_time 0.116 ms 0.142 ms 5918 Groupby/Basic/1000000/manual_time 0.523 ms 0.542 ms 1374 Groupby/Basic/10000000/manual_time 4.37 ms 4.39 ms 162 Groupby/Basic/100000000/manual_time 51.4 ms 51.5 ms 10 Groupby/PreSorted/1000000/manual_time 0.331 ms 0.350 ms 2121 Groupby/PreSorted/10000000/manual_time 2.21 ms 2.23 ms 316 Groupby/PreSorted/100000000/manual_time 22.2 ms 22.2 ms 27 Groupby/PreSortedNth/1000000/manual_time 0.160 ms 0.188 ms 4384 Groupby/PreSortedNth/10000000/manual_time 0.888 ms 0.915 ms 775 Groupby/PreSortedNth/100000000/manual_time 8.36 ms 8.39 ms 70 Groupby/Shift/1000000/manual_time 0.764 ms 0.785 ms 904 Groupby/Shift/10000000/manual_time 9.50 ms 9.52 ms 63 Groupby/Shift/100000000/manual_time 146 ms 146 ms 4 Groupby/Aggregation/10000/manual_time 1.53 ms 1.55 ms 446 Groupby/Aggregation/16384/manual_time 1.58 ms 1.61 ms 437 Groupby/Aggregation/65536/manual_time 1.72 ms 1.75 ms 405 Groupby/Aggregation/262144/manual_time 2.93 ms 2.96 ms 236 Groupby/Aggregation/1048576/manual_time 9.18 ms 9.21 ms 74 Groupby/Aggregation/4194304/manual_time 36.2 ms 36.3 ms 19 Groupby/Aggregation/10000000/manual_time 91.5 ms 91.6 ms 7 Groupby/Scan/10000/manual_time 1.55 ms 1.57 ms 452 Groupby/Scan/16384/manual_time 1.60 ms 1.62 ms 434 Groupby/Scan/65536/manual_time 1.84 ms 1.87 ms 379 Groupby/Scan/262144/manual_time 3.54 ms 3.56 ms 198 Groupby/Scan/1048576/manual_time 12.0 ms 12.0 ms 57 Groupby/Scan/4194304/manual_time 48.4 ms 48.4 ms 14 Groupby/Scan/10000000/manual_time 125 ms 125 ms 4 Groupby/BasicNoRequest/10000/manual_time 0.058 ms 0.085 ms 11991 Groupby/BasicNoRequest/1000000/manual_time 0.282 ms 0.301 ms 2478 Groupby/BasicNoRequest/10000000/manual_time 2.42 ms 2.44 ms 291 Groupby/BasicNoRequest/100000000/manual_time 29.2 ms 29.2 ms 21 Groupby/PreSortedNoRequests/1000000/manual_time 0.195 ms 0.215 ms 3604 Groupby/PreSortedNoRequests/10000000/manual_time 1.25 ms 1.27 ms 575 Groupby/PreSortedNoRequests/100000000/manual_time 12.7 ms 12.8 ms 50 ``` </details> Authors: - Alessandro Bellina (https://github.com/abellina) Approvers: - Jake Hemstad (https://github.com/jrhemstad) - Nghia Truong (https://github.com/ttnghia) - Conor Hoekstra (https://github.com/codereport) URL: rapidsai#9891
raydouglass
pushed a commit
that referenced
this pull request
Dec 16, 2021
) (#9898) The following fixes what looks like an unintended fallback to sort aggregate introduced in #9545 for a grouping only (no aggregation request) case. In the PR, the `std::all_of` function is used to determine whether the aggregation requests would be for struct types. That said, when there are no aggregation requests the `std::all_of` function will return true, causing a fallback to the sort aggregation (relevant code: https://github.com/rapidsai/cudf/pull/9545/files#diff-e409f72ddc11ad10fa0099e21b409b92f12bfac8ba1817266696c34a620aa081R645-R650). I added a benchmark `group_no_requests_benchmark.cu` by mostly copying `group_sum_benchmark.cu` but I changed one critical part. I am re-creating the `groupby` object for each `state`: ``` for (auto _ : state) { cuda_event_timer timer(state, true); cudf::groupby::groupby gb_obj(cudf::table_view({keys}));e auto result = gb_obj.aggregate(requests); } ``` This shows what would happen in the scenario where the `groupby` instance is created each time an aggregate is issued, which would re-create the `helper` each time for the sorted case. If the `groupby` object is not recreated each time, the difference in performance between the before/after cases is negligible. We never recycle a `groupby` instance when using the groupby API from Spark. Posting this as draft for feedback as I am not sure if I handled the benchmark part correctly. This was executed on a T4 GPU. Before the patch: ``` Groupby/BasicNoRequest/10000/manual_time 0.158 ms 0.184 ms 4420 Groupby/BasicNoRequest/1000000/manual_time 1.72 ms 1.74 ms 408 Groupby/BasicNoRequest/10000000/manual_time 18.9 ms 18.9 ms 37 Groupby/BasicNoRequest/100000000/manual_time 198 ms 198 ms 3 ``` Authors: - Alessandro Bellina (https://github.com/abellina) Approvers: - Jake Hemstad (https://github.com/jrhemstad) - Nghia Truong (https://github.com/ttnghia) - Conor Hoekstra (https://github.com/codereport) URL: #9891
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Labels
3 - Ready for Review
Ready for review by team
CMake
CMake build issue
feature request
New feature or request
libcudf
Affects libcudf (C++/CUDA) code.
non-breaking
Non-breaking change
Spark
Functionality that helps Spark RAPIDS
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR adds struct support for
min
,max
,argmin
andargmax
in groupby aggregation, andmin
,max
in groupby scan. Although these operations require implementation for both hash-based and sort-based approaches, this PR only adds struct support into the sort-based approach due to the complexity of the hash-based implementation. Struct support for the hash-based approach will be future work.Partially addresses #8974 and #7995.