adriangbot commented on PR #23648:
URL: https://github.com/apache/datafusion/pull/23648#issuecomment-5558661513

   🤖 Benchmark completed (GKE) | 
[trigger](https://github.com/apache/datafusion/pull/23648#issuecomment-5558396112)
   
   **Instance:** `c4a-highmem-16` (12 vCPU / 65 GiB)
   
   Comparing nested-group-column-for-lists 
(6f73226c277e9b36b070c77da99678eed904a5f6) to 3a4c310 (merge-base) 
[diff](https://github.com/apache/datafusion/compare/3a4c310da72ea419e777bf56bbedaf1fb83e087e..6f73226c277e9b36b070c77da99678eed904a5f6)
   
   <details><summary>Run configuration</summary>
   
   ```yaml
   run benchmark multi_group_by
   ```
   
   </details>
   
   <details><summary>CPU Details (lscpu)</summary>
   
   ```
   Architecture:                            aarch64
   CPU op-mode(s):                          64-bit
   Byte Order:                              Little Endian
   CPU(s):                                  16
   On-line CPU(s) list:                     0-15
   Vendor ID:                               ARM
   Model name:                              Neoverse-V2
   Model:                                   1
   Thread(s) per core:                      1
   Core(s) per cluster:                     16
   Socket(s):                               -
   Cluster(s):                              1
   Stepping:                                r0p1
   BogoMIPS:                                2000.00
   Flags:                                   fp asimd evtstrm aes pmull sha1 
sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 
sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm sb paca pacg dcpodp sve2 
sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm 
bf16 dgh rng bti
   L1d cache:                               1 MiB (16 instances)
   L1i cache:                               1 MiB (16 instances)
   L2 cache:                                32 MiB (16 instances)
   L3 cache:                                80 MiB (1 instance)
   NUMA node(s):                            1
   NUMA node0 CPU(s):                       0-15
   Vulnerability Gather data sampling:      Not affected
   Vulnerability Indirect target selection: Not affected
   Vulnerability Itlb multihit:             Not affected
   Vulnerability L1tf:                      Not affected
   Vulnerability Mds:                       Not affected
   Vulnerability Meltdown:                  Not affected
   Vulnerability Mmio stale data:           Not affected
   Vulnerability Reg file data sampling:    Not affected
   Vulnerability Retbleed:                  Not affected
   Vulnerability Spec rstack overflow:      Not affected
   Vulnerability Spec store bypass:         Mitigation; Speculative Store 
Bypass disabled via prctl
   Vulnerability Spectre v1:                Mitigation; __user pointer 
sanitization
   Vulnerability Spectre v2:                Mitigation; CSV2, BHB
   Vulnerability Srbds:                     Not affected
   Vulnerability Tsa:                       Not affected
   Vulnerability Tsx async abort:           Not affected
   Vulnerability Vmscape:                   Not affected
   ```
   
   </details>
   
   <details><summary>Details</summary>
   <p>
   
   ```
   group                                                 HEAD                   
                nested-group-column-for-lists
   -----                                                 ----                   
                -----------------------------
   batch_size_sensitivity/row_based/batch_1024           1.00     10.7±0.01ms   
     ? ?/sec    1.00     10.7±0.03ms        ? ?/sec
   batch_size_sensitivity/row_based/batch_16384          1.01     10.6±0.00ms   
     ? ?/sec    1.00     10.5±0.01ms        ? ?/sec
   batch_size_sensitivity/row_based/batch_32768          1.00     10.8±0.00ms   
     ? ?/sec    1.00     10.8±0.02ms        ? ?/sec
   batch_size_sensitivity/row_based/batch_4096           1.00     10.6±0.00ms   
     ? ?/sec    1.00     10.6±0.00ms        ? ?/sec
   batch_size_sensitivity/row_based/batch_8192           1.01     10.7±0.01ms   
     ? ?/sec    1.00     10.5±0.01ms        ? ?/sec
   batch_size_sensitivity/vectorized/batch_1024          1.00      9.6±0.01ms   
     ? ?/sec    1.00      9.6±0.01ms        ? ?/sec
   batch_size_sensitivity/vectorized/batch_16384         1.00      9.5±0.01ms   
     ? ?/sec    1.02      9.7±0.01ms        ? ?/sec
   batch_size_sensitivity/vectorized/batch_32768         1.06     10.1±0.10ms   
     ? ?/sec    1.00      9.6±0.00ms        ? ?/sec
   batch_size_sensitivity/vectorized/batch_4096          1.03      9.8±0.32ms   
     ? ?/sec    1.00      9.6±0.00ms        ? ?/sec
   batch_size_sensitivity/vectorized/batch_8192          1.01      9.7±0.01ms   
     ? ?/sec    1.00      9.6±0.01ms        ? ?/sec
   column_scaling/row_based/cols_10_grp_1024             1.00     25.1±0.06ms   
     ? ?/sec    1.00     25.1±0.10ms        ? ?/sec
   column_scaling/row_based/cols_2_grp_100               1.03      9.4±0.06ms   
     ? ?/sec    1.00      9.1±0.01ms        ? ?/sec
   column_scaling/row_based/cols_3_grp_125               1.01     11.0±0.03ms   
     ? ?/sec    1.00     10.9±0.22ms        ? ?/sec
   column_scaling/row_based/cols_4_grp_81                1.02     13.6±0.15ms   
     ? ?/sec    1.00     13.3±0.01ms        ? ?/sec
   column_scaling/row_based/cols_6_grp_729               1.00     17.6±0.01ms   
     ? ?/sec    1.01     17.7±0.01ms        ? ?/sec
   column_scaling/row_based/cols_8_grp_256               1.00     22.0±0.03ms   
     ? ?/sec    1.02     22.3±0.02ms        ? ?/sec
   column_scaling/vectorized/cols_10_grp_1024            1.16     26.7±0.13ms   
     ? ?/sec    1.00     23.1±0.10ms        ? ?/sec
   column_scaling/vectorized/cols_2_grp_100              1.01      7.8±0.01ms   
     ? ?/sec    1.00      7.7±0.01ms        ? ?/sec
   column_scaling/vectorized/cols_3_grp_125              1.01      9.7±0.01ms   
     ? ?/sec    1.00      9.7±0.01ms        ? ?/sec
   column_scaling/vectorized/cols_4_grp_81               1.02     11.8±0.15ms   
     ? ?/sec    1.00     11.6±0.01ms        ? ?/sec
   column_scaling/vectorized/cols_6_grp_729              1.11     17.1±0.39ms   
     ? ?/sec    1.00     15.3±0.04ms        ? ?/sec
   column_scaling/vectorized/cols_8_grp_256              1.17     22.9±0.69ms   
     ? ?/sec    1.00     19.5±0.03ms        ? ?/sec
   decimal256/row_based/grp_1000                         1.01     14.0±0.03ms   
     ? ?/sec    1.00     13.9±0.04ms        ? ?/sec
   decimal256/row_based/grp_1000000                      1.01     43.5±0.07ms   
     ? ?/sec    1.00     42.8±0.05ms        ? ?/sec
   decimal256/vectorized/grp_1000                        1.00      9.6±0.02ms   
     ? ?/sec    1.02      9.8±0.18ms        ? ?/sec
   decimal256/vectorized/grp_1000000                     1.00     38.2±0.05ms   
     ? ?/sec    1.00     38.1±0.04ms        ? ?/sec
   duration/row_based/grp_1000                           1.03      9.8±0.01ms   
     ? ?/sec    1.00      9.5±0.03ms        ? ?/sec
   duration/row_based/grp_1000000                        1.00     37.9±0.17ms   
     ? ?/sec    1.00     37.8±0.10ms        ? ?/sec
   duration/vectorized/grp_1000                          1.01      7.9±0.01ms   
     ? ?/sec    1.00      7.9±0.01ms        ? ?/sec
   duration/vectorized/grp_1000000                       1.00     34.3±0.07ms   
     ? ?/sec    1.02     35.0±0.03ms        ? ?/sec
   fixed_size_binary/row_based/grp_1000                  1.00     12.7±0.05ms   
     ? ?/sec    1.00     12.8±0.01ms        ? ?/sec
   fixed_size_binary/row_based/grp_1000000               1.02     41.3±0.19ms   
     ? ?/sec    1.00     40.6±0.10ms        ? ?/sec
   fixed_size_binary/vectorized/grp_1000                 1.03     11.5±0.36ms   
     ? ?/sec    1.00     11.2±0.37ms        ? ?/sec
   fixed_size_binary/vectorized/grp_1000000              1.01     37.3±0.07ms   
     ? ?/sec    1.00     36.8±0.02ms        ? ?/sec
   float16/row_based/grp_1000                            1.02     10.2±0.09ms   
     ? ?/sec    1.00     10.0±0.12ms        ? ?/sec
   float16/row_based/grp_60000                           1.00     17.3±0.03ms   
     ? ?/sec    1.03     17.9±0.05ms        ? ?/sec
   float16/vectorized/grp_1000                           1.00      8.1±0.00ms   
     ? ?/sec    1.02      8.3±0.19ms        ? ?/sec
   float16/vectorized/grp_60000                          1.00     13.0±0.03ms   
     ? ?/sec    1.00     13.0±0.06ms        ? ?/sec
   group_count_sweep/row_based/grp_1000                  1.02     13.7±0.05ms   
     ? ?/sec    1.00     13.5±0.01ms        ? ?/sec
   group_count_sweep/row_based/grp_10000                 1.00     14.6±0.02ms   
     ? ?/sec    1.00     14.6±0.14ms        ? ?/sec
   group_count_sweep/row_based/grp_100000                1.00     23.3±0.03ms   
     ? ?/sec    1.01     23.7±0.06ms        ? ?/sec
   group_count_sweep/row_based/grp_1000000               1.00     41.1±0.05ms   
     ? ?/sec    1.02     41.8±0.06ms        ? ?/sec
   group_count_sweep/row_based/grp_16                    1.00     13.1±0.01ms   
     ? ?/sec    1.01     13.2±0.01ms        ? ?/sec
   group_count_sweep/row_based/grp_256                   1.03     13.6±0.04ms   
     ? ?/sec    1.00     13.2±0.01ms        ? ?/sec
   group_count_sweep/row_based/grp_5000                  1.00     14.1±0.07ms   
     ? ?/sec    1.00     14.1±0.13ms        ? ?/sec
   group_count_sweep/row_based/grp_50000                 1.00     19.9±0.02ms   
     ? ?/sec    1.00     19.8±0.02ms        ? ?/sec
   group_count_sweep/row_based/grp_500000                1.00     35.9±0.25ms   
     ? ?/sec    1.01     36.4±0.22ms        ? ?/sec
   group_count_sweep/row_based/grp_64                    1.01     13.8±0.05ms   
     ? ?/sec    1.00     13.8±0.01ms        ? ?/sec
   group_count_sweep/vectorized/grp_1000                 1.01     11.6±0.01ms   
     ? ?/sec    1.00     11.5±0.01ms        ? ?/sec
   group_count_sweep/vectorized/grp_10000                1.02     12.4±0.18ms   
     ? ?/sec    1.00     12.1±0.05ms        ? ?/sec
   group_count_sweep/vectorized/grp_100000               1.00     17.9±0.15ms   
     ? ?/sec    1.01     18.1±0.11ms        ? ?/sec
   group_count_sweep/vectorized/grp_1000000              1.00     40.2±0.03ms   
     ? ?/sec    1.01     40.4±0.05ms        ? ?/sec
   group_count_sweep/vectorized/grp_16                   1.00     11.4±0.01ms   
     ? ?/sec    1.00     11.4±0.01ms        ? ?/sec
   group_count_sweep/vectorized/grp_256                  1.00     11.5±0.01ms   
     ? ?/sec    1.19     13.6±0.38ms        ? ?/sec
   group_count_sweep/vectorized/grp_5000                 1.00     12.1±0.39ms   
     ? ?/sec    1.01     12.2±0.04ms        ? ?/sec
   group_count_sweep/vectorized/grp_50000                1.00     15.2±0.13ms   
     ? ?/sec    1.02     15.5±0.07ms        ? ?/sec
   group_count_sweep/vectorized/grp_500000               1.00     30.1±0.14ms   
     ? ?/sec    1.01     30.2±0.20ms        ? ?/sec
   group_count_sweep/vectorized/grp_64                   1.00     11.5±0.01ms   
     ? ?/sec    1.03     11.8±0.00ms        ? ?/sec
   high_cardinality_scaling/row_based/cols_10_grp_1M     1.00     55.8±0.12ms   
     ? ?/sec    1.03     57.4±0.14ms        ? ?/sec
   high_cardinality_scaling/row_based/cols_2_grp_1M      1.01     38.5±0.04ms   
     ? ?/sec    1.00     38.0±0.07ms        ? ?/sec
   high_cardinality_scaling/row_based/cols_3_grp_1M      1.00     38.7±0.05ms   
     ? ?/sec    1.01     39.2±0.02ms        ? ?/sec
   high_cardinality_scaling/row_based/cols_4_grp_1M      1.02     41.8±0.08ms   
     ? ?/sec    1.00     41.2±0.10ms        ? ?/sec
   high_cardinality_scaling/row_based/cols_6_grp_1M      1.00     46.4±0.04ms   
     ? ?/sec    1.03     48.0±0.10ms        ? ?/sec
   high_cardinality_scaling/row_based/cols_8_grp_1M      1.00     50.9±0.05ms   
     ? ?/sec    1.02     52.0±0.06ms        ? ?/sec
   high_cardinality_scaling/vectorized/cols_10_grp_1M    1.01     59.4±0.29ms   
     ? ?/sec    1.00     59.0±0.09ms        ? ?/sec
   high_cardinality_scaling/vectorized/cols_2_grp_1M     1.00     34.1±0.02ms   
     ? ?/sec    1.00     33.9±0.03ms        ? ?/sec
   high_cardinality_scaling/vectorized/cols_3_grp_1M     1.00     37.0±0.03ms   
     ? ?/sec    1.01     37.3±0.15ms        ? ?/sec
   high_cardinality_scaling/vectorized/cols_4_grp_1M     1.00     40.2±0.05ms   
     ? ?/sec    1.00     40.4±0.04ms        ? ?/sec
   high_cardinality_scaling/vectorized/cols_6_grp_1M     1.00     46.3±0.09ms   
     ? ?/sec    1.03     47.8±0.06ms        ? ?/sec
   high_cardinality_scaling/vectorized/cols_8_grp_1M     1.00     52.6±0.15ms   
     ? ?/sec    1.02     53.7±0.09ms        ? ?/sec
   interval/row_based/grp_1000                           1.00     11.5±0.01ms   
     ? ?/sec    1.00     11.5±0.01ms        ? ?/sec
   interval/row_based/grp_1000000                        1.00     40.0±0.07ms   
     ? ?/sec    1.01     40.2±0.03ms        ? ?/sec
   interval/vectorized/grp_1000                          1.00      8.7±0.02ms   
     ? ?/sec    1.00      8.7±0.03ms        ? ?/sec
   interval/vectorized/grp_1000000                       1.00     35.7±0.09ms   
     ? ?/sec    1.03     36.6±0.06ms        ? ?/sec
   issue_17850_regression/row_based/10000000_rows        1.00    108.2±0.09ms   
     ? ?/sec    1.00    107.7±0.08ms        ? ?/sec
   issue_17850_regression/row_based/1000000_rows         1.00     10.5±0.01ms   
     ? ?/sec    1.00     10.5±0.00ms        ? ?/sec
   issue_17850_regression/row_based/20000000_rows        1.01    216.9±0.16ms   
     ? ?/sec    1.00    215.8±0.80ms        ? ?/sec
   issue_17850_regression/row_based/50000000_rows        1.00    544.1±3.64ms   
     ? ?/sec    1.03    561.1±5.56ms        ? ?/sec
   issue_17850_regression/row_based/5000000_rows         1.01     53.9±0.17ms   
     ? ?/sec    1.00     53.2±0.04ms        ? ?/sec
   issue_17850_regression/vectorized/10000000_rows       1.00     98.8±0.08ms   
     ? ?/sec    1.04    102.3±0.48ms        ? ?/sec
   issue_17850_regression/vectorized/1000000_rows        1.01      9.6±0.01ms   
     ? ?/sec    1.00      9.5±0.01ms        ? ?/sec
   issue_17850_regression/vectorized/20000000_rows       1.00    198.4±0.13ms   
     ? ?/sec    1.00    198.2±0.10ms        ? ?/sec
   issue_17850_regression/vectorized/50000000_rows       1.00    489.6±0.51ms   
     ? ?/sec    1.09   531.8±24.98ms        ? ?/sec
   issue_17850_regression/vectorized/5000000_rows        1.00     48.5±0.05ms   
     ? ?/sec    1.00     48.7±0.09ms        ? ?/sec
   list_int/row_based/grp_1000                           1.02     32.3±0.50ms   
     ? ?/sec    1.00     31.7±0.02ms        ? ?/sec
   list_int/row_based/grp_1000000                        1.00     61.0±0.09ms   
     ? ?/sec    1.01     61.7±0.10ms        ? ?/sec
   list_int/vectorized/grp_1000                          1.56     34.2±0.11ms   
     ? ?/sec    1.00     21.9±0.62ms        ? ?/sec
   list_int/vectorized/grp_1000000                       1.24     61.6±0.07ms   
     ? ?/sec    1.00     49.6±0.07ms        ? ?/sec
   list_utf8/row_based/grp_1000                          1.00     46.1±0.13ms   
     ? ?/sec    1.01     46.5±0.19ms        ? ?/sec
   list_utf8/row_based/grp_1000000                       1.00     78.5±0.23ms   
     ? ?/sec    1.00     78.4±0.38ms        ? ?/sec
   list_utf8/vectorized/grp_1000                         1.71     48.9±0.76ms   
     ? ?/sec    1.00     28.7±0.42ms        ? ?/sec
   list_utf8/vectorized/grp_1000000                      1.32     81.7±0.30ms   
     ? ?/sec    1.00     61.8±0.13ms        ? ?/sec
   low_cardinality/row_based/cols_3_card_2_grp_8         1.05     11.0±0.02ms   
     ? ?/sec    1.00     10.5±0.01ms        ? ?/sec
   low_cardinality/row_based/cols_3_card_4_grp_64        1.01     10.6±0.01ms   
     ? ?/sec    1.00     10.5±0.01ms        ? ?/sec
   low_cardinality/row_based/cols_3_card_8_grp_512       1.00     10.6±0.01ms   
     ? ?/sec    1.03     10.9±0.11ms        ? ?/sec
   low_cardinality/row_based/cols_4_card_2_grp_16        1.00     13.2±0.00ms   
     ? ?/sec    1.00     13.2±0.01ms        ? ?/sec
   low_cardinality/row_based/cols_4_card_4_grp_256       1.00     13.5±0.06ms   
     ? ?/sec    1.00     13.5±0.12ms        ? ?/sec
   low_cardinality/row_based/cols_4_card_8_grp_4096      1.00     14.1±0.01ms   
     ? ?/sec    1.00     14.1±0.04ms        ? ?/sec
   low_cardinality/vectorized/cols_3_card_2_grp_8        1.16     11.1±0.23ms   
     ? ?/sec    1.00      9.5±0.01ms        ? ?/sec
   low_cardinality/vectorized/cols_3_card_4_grp_64       1.00      9.6±0.01ms   
     ? ?/sec    1.00      9.6±0.00ms        ? ?/sec
   low_cardinality/vectorized/cols_3_card_8_grp_512      1.00      9.6±0.01ms   
     ? ?/sec    1.00      9.7±0.01ms        ? ?/sec
   low_cardinality/vectorized/cols_4_card_2_grp_16       1.13     12.9±1.24ms   
     ? ?/sec    1.00     11.4±0.01ms        ? ?/sec
   low_cardinality/vectorized/cols_4_card_4_grp_256      1.00     11.6±0.01ms   
     ? ?/sec    1.00     11.5±0.01ms        ? ?/sec
   low_cardinality/vectorized/cols_4_card_8_grp_4096     1.04     12.5±0.38ms   
     ? ?/sec    1.00     11.9±0.17ms        ? ?/sec
   ```
   
   </p>
   </details>
   
   <details><summary>Resource Usage</summary>
   
   **multi_group_by — base (merge-base)**
   | Metric | Value |
   |--------|-------|
   | Wall time | 1570.3s |
   | Peak memory | 610.6 MiB |
   | Avg memory | 441.3 MiB |
   | CPU user | 1434.8s |
   | CPU sys | 1.4s |
   | Peak spill | 0 B |
   
   **multi_group_by — branch**
   | Metric | Value |
   |--------|-------|
   | Wall time | 1545.3s |
   | Peak memory | 610.4 MiB |
   | Avg memory | 440.8 MiB |
   | CPU user | 1414.0s |
   | CPU sys | 1.4s |
   | Peak spill | 0 B |
   
   </details>
   
   
   ---
   [File an issue](https://github.com/adriangb/datafusion-benchmarking/issues) 
against this benchmark runner


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