alamb commented on PR #7996: URL: https://github.com/apache/arrow-rs/pull/7996#issuecomment-3126719623
🤖: Benchmark completed
<details><summary>Details</summary>
<p>
```
group
main
perf-only-encode-actual-list-values
-----
----
-----------------------------------
append_rows 4096 4096 string_dictionary(20, 0.5), string_dictionary(30, 0),
string_dictionary(100, 0), i64(0) 1.00 377.1±1.74µs ?
?/sec 1.02 383.3±1.56µs ? ?/sec
append_rows 4096 bool(0, 0.5)
1.00 8.6±0.28µs ?
?/sec 1.53 13.2±0.02µs ? ?/sec
append_rows 4096 bool(0.3, 0.5)
1.00 16.1±0.07µs ?
?/sec 1.00 16.1±0.06µs ? ?/sec
append_rows 4096 i64(0)
1.00 7.8±0.11µs ?
?/sec 1.00 7.8±0.11µs ? ?/sec
append_rows 4096 i64(0.3)
1.00 14.7±0.10µs ?
?/sec 1.00 14.7±0.11µs ? ?/sec
append_rows 4096 string view(10, 0)
1.19 53.4±0.26µs ?
?/sec 1.00 44.8±0.27µs ? ?/sec
append_rows 4096 string view(100, 0)
1.00 79.5±0.17µs ?
?/sec 1.00 79.6±0.41µs ? ?/sec
append_rows 4096 string view(100, 0.5)
1.05 84.0±0.24µs ?
?/sec 1.00 80.2±0.20µs ? ?/sec
append_rows 4096 string view(30, 0)
1.10 55.0±0.14µs ?
?/sec 1.00 50.2±0.13µs ? ?/sec
append_rows 4096 string(10, 0)
1.11 50.1±0.25µs ?
?/sec 1.00 45.2±0.06µs ? ?/sec
append_rows 4096 string(100, 0)
1.00 79.1±0.36µs ?
?/sec 1.01 79.6±0.31µs ? ?/sec
append_rows 4096 string(100, 0.5)
1.01 85.8±0.20µs ?
?/sec 1.00 84.7±0.25µs ? ?/sec
append_rows 4096 string(20, 0.5), string(30, 0), string(100, 0), i64(0)
1.03 250.4±1.41µs ?
?/sec 1.00 243.2±1.40µs ? ?/sec
append_rows 4096 string(30, 0)
1.05 50.9±0.33µs ?
?/sec 1.00 48.6±0.12µs ? ?/sec
append_rows 4096 string_dictionary(10, 0)
1.05 77.9±0.50µs ?
?/sec 1.00 74.4±0.08µs ? ?/sec
append_rows 4096 string_dictionary(100, 0)
1.00 151.2±1.44µs ?
?/sec 1.00 151.8±0.94µs ? ?/sec
append_rows 4096 string_dictionary(100, 0.5)
1.00 117.9±0.51µs ?
?/sec 1.01 118.5±0.29µs ? ?/sec
append_rows 4096 string_dictionary(30, 0)
1.01 81.1±0.27µs ?
?/sec 1.00 80.2±0.22µs ? ?/sec
append_rows 4096 string_dictionary_low_cardinality(10, 0)
1.00 29.0±0.06µs ?
?/sec 1.01 29.3±0.90µs ? ?/sec
append_rows 4096 string_dictionary_low_cardinality(100, 0)
1.00 47.5±0.09µs ?
?/sec 1.00 47.6±0.08µs ? ?/sec
append_rows 4096 string_dictionary_low_cardinality(30, 0)
1.02 29.6±0.19µs ?
?/sec 1.00 29.2±0.15µs ? ?/sec
append_rows 4096 u64(0)
1.00 7.6±0.11µs ?
?/sec 1.00 7.7±0.11µs ? ?/sec
append_rows 4096 u64(0.3)
1.01 14.8±0.07µs ?
?/sec 1.00 14.6±0.11µs ? ?/sec
convert_columns 4096 4096 string_dictionary(20, 0.5), string_dictionary(30,
0), string_dictionary(100, 0), i64(0) 1.01 389.2±1.87µs ?
?/sec 1.00 386.9±1.80µs ? ?/sec
convert_columns 4096 bool(0, 0.5)
1.00 8.9±0.01µs ?
?/sec 1.51 13.4±0.03µs ? ?/sec
convert_columns 4096 bool(0.3, 0.5)
1.00 16.4±0.09µs ?
?/sec 1.00 16.3±0.07µs ? ?/sec
convert_columns 4096 i64(0)
1.00 7.9±0.01µs ?
?/sec 1.00 7.9±0.10µs ? ?/sec
convert_columns 4096 i64(0.3)
1.00 14.9±0.09µs ?
?/sec 1.00 14.9±0.13µs ? ?/sec
convert_columns 4096 string view(10, 0)
1.19 53.1±0.25µs ?
?/sec 1.00 44.7±0.16µs ? ?/sec
convert_columns 4096 string view(100, 0)
1.01 80.2±0.31µs ?
?/sec 1.00 79.2±0.58µs ? ?/sec
convert_columns 4096 string view(100, 0.5)
1.05 85.1±0.24µs ?
?/sec 1.00 80.9±0.20µs ? ?/sec
convert_columns 4096 string view(30, 0)
1.09 55.0±0.99µs ?
?/sec 1.00 50.4±0.19µs ? ?/sec
convert_columns 4096 string(10, 0)
1.08 49.2±0.22µs ?
?/sec 1.00 45.5±0.07µs ? ?/sec
convert_columns 4096 string(100, 0)
1.00 78.7±0.35µs ?
?/sec 1.00 78.4±0.23µs ? ?/sec
convert_columns 4096 string(100, 0.5)
1.01 86.3±0.33µs ?
?/sec 1.00 85.1±0.22µs ? ?/sec
convert_columns 4096 string(20, 0.5), string(30, 0), string(100, 0), i64(0)
1.01 247.0±1.23µs ?
?/sec 1.00 243.9±2.30µs ? ?/sec
convert_columns 4096 string(30, 0)
1.04 50.8±0.16µs ?
?/sec 1.00 48.8±0.11µs ? ?/sec
convert_columns 4096 string_dictionary(10, 0)
1.02 78.0±0.30µs ?
?/sec 1.00 76.8±0.11µs ? ?/sec
convert_columns 4096 string_dictionary(100, 0)
1.01 154.9±1.59µs ?
?/sec 1.00 153.3±1.11µs ? ?/sec
convert_columns 4096 string_dictionary(100, 0.5)
1.00 120.9±0.24µs ?
?/sec 1.01 121.6±0.28µs ? ?/sec
convert_columns 4096 string_dictionary(30, 0)
1.01 81.7±0.19µs ?
?/sec 1.00 80.5±0.17µs ? ?/sec
convert_columns 4096 string_dictionary_low_cardinality(10, 0)
1.00 30.2±0.10µs ?
?/sec 1.01 30.5±0.09µs ? ?/sec
convert_columns 4096 string_dictionary_low_cardinality(100, 0)
1.01 49.0±0.14µs ?
?/sec 1.00 48.6±0.08µs ? ?/sec
convert_columns 4096 string_dictionary_low_cardinality(30, 0)
1.00 30.6±0.25µs ?
?/sec 1.00 30.6±0.16µs ? ?/sec
convert_columns 4096 u64(0)
1.01 7.9±0.12µs ?
?/sec 1.00 7.7±0.08µs ? ?/sec
convert_columns 4096 u64(0.3)
1.01 15.0±0.07µs ?
?/sec 1.00 14.9±0.12µs ? ?/sec
convert_columns_prepared 4096 4096 string_dictionary(20, 0.5),
string_dictionary(30, 0), string_dictionary(100, 0), i64(0) 1.00
381.8±2.80µs ? ?/sec 1.01 385.1±1.88µs ? ?/sec
convert_columns_prepared 4096 bool(0, 0.5)
1.00 8.7±0.01µs ?
?/sec 1.53 13.3±0.03µs ? ?/sec
convert_columns_prepared 4096 bool(0.3, 0.5)
1.00 16.2±0.15µs ?
?/sec 1.01 16.3±0.08µs ? ?/sec
convert_columns_prepared 4096 i64(0)
1.03 7.9±0.11µs ?
?/sec 1.00 7.7±0.12µs ? ?/sec
convert_columns_prepared 4096 i64(0.3)
1.00 14.7±0.14µs ?
?/sec 1.01 14.9±0.15µs ? ?/sec
convert_columns_prepared 4096 string view(10, 0)
1.19 53.0±0.35µs ?
?/sec 1.00 44.7±0.12µs ? ?/sec
convert_columns_prepared 4096 string view(100, 0)
1.00 79.6±0.31µs ?
?/sec 1.00 79.6±0.30µs ? ?/sec
convert_columns_prepared 4096 string view(100, 0.5)
1.04 84.0±0.19µs ?
?/sec 1.00 80.7±0.16µs ? ?/sec
convert_columns_prepared 4096 string view(30, 0)
1.09 55.2±0.31µs ?
?/sec 1.00 50.4±0.18µs ? ?/sec
convert_columns_prepared 4096 string(10, 0)
1.08 48.8±0.47µs ?
?/sec 1.00 45.4±0.10µs ? ?/sec
convert_columns_prepared 4096 string(100, 0)
1.00 79.5±0.28µs ?
?/sec 1.00 79.3±0.26µs ? ?/sec
convert_columns_prepared 4096 string(100, 0.5)
1.01 86.1±0.20µs ?
?/sec 1.00 85.0±0.23µs ? ?/sec
convert_columns_prepared 4096 string(20, 0.5), string(30, 0), string(100,
0), i64(0) 1.01 244.6±1.05µs
? ?/sec 1.00 242.4±1.10µs ? ?/sec
convert_columns_prepared 4096 string(30, 0)
1.04 50.6±0.14µs ?
?/sec 1.00 48.7±0.11µs ? ?/sec
convert_columns_prepared 4096 string_dictionary(10, 0)
1.04 78.8±0.43µs ?
?/sec 1.00 75.6±0.12µs ? ?/sec
convert_columns_prepared 4096 string_dictionary(100, 0)
1.00 151.8±0.96µs ?
?/sec 1.00 151.4±0.92µs ? ?/sec
convert_columns_prepared 4096 string_dictionary(100, 0.5)
1.00 118.1±0.46µs ?
?/sec 1.01 119.1±0.46µs ? ?/sec
convert_columns_prepared 4096 string_dictionary(30, 0)
1.02 81.6±0.29µs ?
?/sec 1.00 80.0±0.13µs ? ?/sec
convert_columns_prepared 4096 string_dictionary_low_cardinality(10, 0)
1.00 29.2±0.07µs ?
?/sec 1.01 29.4±0.04µs ? ?/sec
convert_columns_prepared 4096 string_dictionary_low_cardinality(100, 0)
1.00 47.7±0.06µs ?
?/sec 1.00 47.9±0.11µs ? ?/sec
convert_columns_prepared 4096 string_dictionary_low_cardinality(30, 0)
1.02 29.8±0.06µs ?
?/sec 1.00 29.3±0.04µs ? ?/sec
convert_columns_prepared 4096 u64(0)
1.00 7.8±0.11µs ?
?/sec 1.00 7.8±0.09µs ? ?/sec
convert_columns_prepared 4096 u64(0.3)
1.01 14.9±0.08µs ?
?/sec 1.00 14.7±0.09µs ? ?/sec
convert_rows 4096 4096 string_dictionary(20, 0.5), string_dictionary(30, 0),
string_dictionary(100, 0), i64(0) 1.00 298.5±2.73µs ?
?/sec 1.00 297.2±2.81µs ? ?/sec
convert_rows 4096 bool(0, 0.5)
1.02 16.4±0.05µs ?
?/sec 1.00 16.0±0.03µs ? ?/sec
convert_rows 4096 bool(0.3, 0.5)
1.02 16.4±0.04µs ?
?/sec 1.00 16.0±0.02µs ? ?/sec
convert_rows 4096 i64(0)
1.01 33.3±0.06µs ?
?/sec 1.00 32.9±0.06µs ? ?/sec
convert_rows 4096 i64(0.3)
1.01 33.3±0.11µs ?
?/sec 1.00 33.0±0.07µs ? ?/sec
convert_rows 4096 string view(10, 0)
1.01 73.5±0.20µs ?
?/sec 1.00 72.8±0.18µs ? ?/sec
convert_rows 4096 string view(100, 0)
1.02 122.0±0.35µs ?
?/sec 1.00 119.1±0.38µs ? ?/sec
convert_rows 4096 string view(100, 0.5)
1.00 111.8±0.23µs ?
?/sec 1.00 111.3±0.25µs ? ?/sec
convert_rows 4096 string view(30, 0)
1.01 82.6±0.36µs ?
?/sec 1.00 81.7±0.22µs ? ?/sec
convert_rows 4096 string(10, 0)
1.00 61.4±0.10µs ?
?/sec 1.00 61.5±0.36µs ? ?/sec
convert_rows 4096 string(100, 0)
1.00 108.0±0.52µs ?
?/sec 1.00 107.9±0.45µs ? ?/sec
convert_rows 4096 string(100, 0.5)
1.01 103.8±0.18µs ?
?/sec 1.00 102.7±0.31µs ? ?/sec
convert_rows 4096 string(20, 0.5), string(30, 0), string(100, 0), i64(0)
1.00 296.2±2.49µs ?
?/sec 1.01 298.7±3.89µs ? ?/sec
convert_rows 4096 string(30, 0)
1.02 73.9±0.14µs ?
?/sec 1.00 72.5±0.24µs ? ?/sec
convert_rows 4096 string_dictionary(10, 0)
1.02 61.9±0.11µs ?
?/sec 1.00 60.9±0.27µs ? ?/sec
convert_rows 4096 string_dictionary(100, 0)
1.00 107.7±0.32µs ?
?/sec 1.00 107.4±0.31µs ? ?/sec
convert_rows 4096 string_dictionary(100, 0.5)
1.01 104.1±0.38µs ?
?/sec 1.00 102.9±0.22µs ? ?/sec
convert_rows 4096 string_dictionary(30, 0)
1.02 74.2±0.14µs ?
?/sec 1.00 72.4±0.31µs ? ?/sec
convert_rows 4096 string_dictionary_low_cardinality(10, 0)
1.01 61.9±0.10µs ?
?/sec 1.00 61.0±0.35µs ? ?/sec
convert_rows 4096 string_dictionary_low_cardinality(100, 0)
1.00 108.2±0.41µs ?
?/sec 1.00 107.8±0.49µs ? ?/sec
convert_rows 4096 string_dictionary_low_cardinality(30, 0)
1.01 74.0±0.14µs ?
?/sec 1.00 73.3±0.47µs ? ?/sec
convert_rows 4096 u64(0)
1.01 30.5±0.04µs ?
?/sec 1.00 30.1±0.05µs ? ?/sec
convert_rows 4096 u64(0.3)
1.01 30.5±0.06µs ?
?/sec 1.00 30.1±0.07µs ? ?/sec
iterate rows
1.00 2.6±0.00µs ?
?/sec 1.00 2.6±0.00µs ? ?/sec
```
</p>
</details>
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