adriangbot commented on PR #26250:
URL: https://github.com/apache/datafusion/pull/26250#issuecomment-6280763379

   🤖 Benchmark completed (GKE) | 
[trigger](https://github.com/apache/datafusion/pull/26250#issuecomment-6280411958)
   
   **Instance:** `c4a-highmem-16` (12 vCPU / 65 GiB)
   
   Comparing 1121f2b3b8fd53f291f64c5a97e9ee9af231f2b3 
(1121f2b3b8fd53f291f64c5a97e9ee9af231f2b3) to 
acc69cd004bcdcaa7e156312d2642ae7dfe7b961 
[diff](https://github.com/apache/datafusion/compare/acc69cd004bcdcaa7e156312d2642ae7dfe7b961..1121f2b3b8fd53f291f64c5a97e9ee9af231f2b3)
   
   <details><summary>Run configuration</summary>
   
   ```yaml
   run benchmark parquet_rle_dictionary_scan
   baseline:
     ref: "acc69cd004bcdcaa7e156312d2642ae7dfe7b961"
   changed:
     ref: "1121f2b3b8fd53f291f64c5a97e9ee9af231f2b3"
   ```
   
   </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                                     dict-encoding-bench
   -----                                                                    
----                                     -------------------
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=1/dictionary         
37.41    18.4±0.05ms 51.8 MElem/sec      1.00    492.0±2.05µs 1938.2 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=1/utf8_view          
1.01    393.3±1.26µs  2.4 GElem/sec      1.00    391.2±0.97µs  2.4 GElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=10/dictionary        
23.85    18.7±0.05ms 50.9 MElem/sec      1.00    785.1±3.99µs 1214.8 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=10/utf8_view         
1.00   1089.3±5.79µs 875.5 MElem/sec     1.00   1085.6±5.66µs 878.5 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=100/dictionary       
21.52    18.8±0.05ms 50.6 MElem/sec      1.00    875.4±4.91µs 1089.4 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=100/utf8_view        
1.00   1180.3±8.37µs 808.0 MElem/sec     1.00   1179.1±3.64µs 808.8 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=1000/dictionary      
20.78    20.6±0.04ms 46.3 MElem/sec      1.00    991.4±3.59µs 961.9 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=1000/utf8_view       
1.00   1298.7±7.99µs 734.3 MElem/sec     1.00   1303.8±5.43µs 731.5 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=10000/dictionary     
28.92    34.5±0.06ms 27.6 MElem/sec      1.00  1194.3±10.12µs 798.5 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=10000/utf8_view      
1.00  1595.2±10.34µs 597.8 MElem/sec     1.00   1587.6±5.17µs 600.7 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=100000/dictionary    
16.94    49.5±0.27ms 19.3 MElem/sec      1.00      2.9±0.04ms 326.4 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=100000/utf8_view     
1.00      3.5±0.07ms 271.0 MElem/sec     1.05      3.7±0.07ms 258.6 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=500000/dictionary    
8.11     57.4±0.54ms 16.6 MElem/sec      1.00      7.1±0.15ms 134.6 MElem/sec
   parquet_binary_rle_dictionary_scan/rows=1000000/ndv=500000/utf8_view     
1.00      6.3±0.09ms 152.0 MElem/sec     1.03      6.5±0.13ms 147.4 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=1/dictionary                
1.02   854.0±15.67µs 1116.7 MElem/sec    1.00   836.3±18.51µs 1140.3 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=1/utf8_view                 
1.00    393.0±0.78µs  2.4 GElem/sec      1.01    397.4±1.26µs  2.3 GElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=10/dictionary               
1.00    725.5±3.18µs 1314.6 MElem/sec    1.00    728.5±4.49µs 1309.0 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=10/utf8_view                
1.01   1091.4±5.36µs 873.8 MElem/sec     1.00   1084.5±1.42µs 879.4 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=100/dictionary              
1.01    813.3±5.74µs 1172.7 MElem/sec    1.00    802.5±4.15µs 1188.3 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=100/utf8_view               
1.01   1197.3±6.36µs 796.5 MElem/sec     1.00   1189.3±4.23µs 801.9 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=1000/dictionary             
1.00    921.5±5.93µs 1034.9 MElem/sec    1.01   928.4±15.80µs 1027.2 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=1000/utf8_view              
1.00  1310.4±12.87µs 727.8 MElem/sec     1.00   1307.0±5.79µs 729.7 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=10000/dictionary            
1.00   1105.9±8.23µs 862.3 MElem/sec     1.01   1118.9±8.80µs 852.4 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=10000/utf8_view             
1.00   1613.6±7.64µs 591.0 MElem/sec     1.00  1620.4±13.90µs 588.6 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=100000/dictionary           
1.02      2.6±0.04ms 363.1 MElem/sec     1.00      2.6±0.04ms 370.2 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=100000/utf8_view            
1.03      3.9±0.09ms 242.8 MElem/sec     1.00      3.8±0.07ms 250.2 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=500000/dictionary           
1.00      6.0±0.15ms 157.7 MElem/sec     1.01      6.1±0.12ms 156.4 MElem/sec
   parquet_rle_dictionary_scan/rows=1000000/ndv=500000/utf8_view            
1.04      6.7±0.19ms 141.6 MElem/sec     1.00      6.5±0.07ms 147.0 MElem/sec
   ```
   
   </p>
   </details>
   
   <details><summary>Resource Usage</summary>
   
   **parquet_rle_dictionary_scan — base (merge-base)**
   | Metric | Value |
   |--------|-------|
   | Wall time | 625.3s |
   | Peak memory | 155.6 MiB |
   | Avg memory | 26.0 MiB |
   | CPU user | 191.6s |
   | CPU sys | 13.8s |
   | Peak spill | 0 B |
   
   **parquet_rle_dictionary_scan — branch**
   | Metric | Value |
   |--------|-------|
   | Wall time | 735.4s |
   | Peak memory | 156.6 MiB |
   | Avg memory | 21.7 MiB |
   | CPU user | 184.1s |
   | CPU sys | 18.4s |
   | Peak spill | 0 B |
   
   </details>
   
   
   ---
   [File an issue](https://github.com/adriangb/datafusion-benchmarking/issues) 
against this benchmark runner


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]


---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to