adriangbot commented on PR #10229: URL: https://github.com/apache/arrow-rs/pull/10229#issuecomment-4826530432
🤖 Arrow criterion benchmark completed (GKE) | [trigger](https://github.com/apache/arrow-rs/pull/10229#issuecomment-4826396486) **Instance:** `c4a-highmem-16` (12 vCPU / 65 GiB) <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 main row-refactor-out-arraydata ----- ---- -------------------------- append_rows 10 large_list(0) of u64(0) 1.00 563.4±3.73ns ? ?/sec 1.00 562.7±2.88ns ? ?/sec append_rows 10 list(0) of u64(0) 1.00 592.9±3.80ns ? ?/sec 1.01 596.8±3.05ns ? ?/sec append_rows 4096 4096 string_dictionary(20, 0.5), string_dictionary(30, 0), string_dictionary(100, 0), i64(0) 1.00 186.5±1.78µs ? ?/sec 1.01 187.7±1.43µs ? ?/sec append_rows 4096 53 columns 1.00 821.1±4.14µs ? ?/sec 1.01 827.8±1.30µs ? ?/sec append_rows 4096 bool(0, 0.5) 1.04 5.1±0.00µs ? ?/sec 1.00 4.9±0.01µs ? ?/sec append_rows 4096 bool(0.3, 0.5) 1.00 5.8±0.00µs ? ?/sec 1.00 5.8±0.01µs ? ?/sec append_rows 4096 i64(0) 1.00 4.4±0.04µs ? ?/sec 1.08 4.7±0.41µs ? ?/sec append_rows 4096 i64(0.3) 1.02 5.5±0.01µs ? ?/sec 1.00 5.4±0.00µs ? ?/sec append_rows 4096 large_list(0) of u64(0) 1.03 91.3±0.26µs ? ?/sec 1.00 89.0±0.14µs ? ?/sec append_rows 4096 large_list(0) sliced to 10 of u64(0) 1.00 760.1±4.44ns ? ?/sec 1.01 765.6±3.10ns ? ?/sec append_rows 4096 list(0) of u64(0) 1.00 91.0±0.18µs ? ?/sec 1.01 91.5±0.20µs ? ?/sec append_rows 4096 list(0) sliced to 10 of u64(0) 1.00 838.9±8.36ns ? ?/sec 1.00 836.1±2.89ns ? ?/sec append_rows 4096 run_primitive(1024 physical) 1.01 22.5±0.26µs ? ?/sec 1.00 22.2±0.48µs ? ?/sec append_rows 4096 run_primitive(256 physical) 1.00 12.3±0.06µs ? ?/sec 1.00 12.4±0.04µs ? ?/sec append_rows 4096 run_primitive(512 physical) 1.00 15.3±0.18µs ? ?/sec 1.00 15.3±0.21µs ? ?/sec append_rows 4096 string view(1..100, 0) 1.02 38.4±0.23µs ? ?/sec 1.00 37.8±0.14µs ? ?/sec append_rows 4096 string view(1..100, 0.5) 1.05 32.2±0.37µs ? ?/sec 1.00 30.6±0.41µs ? ?/sec append_rows 4096 string view(10, 0) 1.00 29.3±0.04µs ? ?/sec 1.00 29.3±0.03µs ? ?/sec append_rows 4096 string view(100, 0) 1.00 44.6±0.37µs ? ?/sec 1.00 44.8±0.14µs ? ?/sec append_rows 4096 string view(100, 0.5) 1.00 37.5±0.36µs ? ?/sec 1.00 37.6±0.43µs ? ?/sec append_rows 4096 string view(30, 0) 1.00 34.5±0.06µs ? ?/sec 1.00 34.4±0.14µs ? ?/sec append_rows 4096 string(10, 0) 1.01 26.7±0.03µs ? ?/sec 1.00 26.5±0.03µs ? ?/sec append_rows 4096 string(100, 0) 1.00 36.5±0.12µs ? ?/sec 1.01 36.7±0.35µs ? ?/sec append_rows 4096 string(100, 0.5) 1.00 32.6±0.38µs ? ?/sec 1.07 34.7±0.26µs ? ?/sec append_rows 4096 string(20, 0.5), string(30, 0), string(100, 0), i64(0) 1.00 93.3±1.77µs ? ?/sec 1.01 94.7±1.57µs ? ?/sec append_rows 4096 string(30, 0) 1.00 29.4±1.27µs ? ?/sec 1.00 29.5±1.23µs ? ?/sec append_rows 4096 string_dictionary(10, 0) 1.00 49.3±0.05µs ? ?/sec 1.00 49.3±0.08µs ? ?/sec append_rows 4096 string_dictionary(100, 0) 1.00 71.9±0.17µs ? ?/sec 1.03 74.2±0.14µs ? ?/sec append_rows 4096 string_dictionary(100, 0.5) 1.00 51.7±0.23µs ? ?/sec 1.07 55.1±0.17µs ? ?/sec append_rows 4096 string_dictionary(30, 0) 1.00 54.8±1.33µs ? ?/sec 1.00 54.8±1.27µs ? ?/sec append_rows 4096 string_dictionary_low_cardinality(10, 0) 1.01 22.4±0.06µs ? ?/sec 1.00 22.2±0.07µs ? ?/sec append_rows 4096 string_dictionary_low_cardinality(100, 0) 1.01 32.5±0.03µs ? ?/sec 1.00 32.3±0.02µs ? ?/sec append_rows 4096 string_dictionary_low_cardinality(30, 0) 1.01 24.9±0.06µs ? ?/sec 1.00 24.6±0.07µs ? ?/sec append_rows 4096 u64(0) 1.17 5.0±0.57µs ? ?/sec 1.00 4.3±0.32µs ? ?/sec append_rows 4096 u64(0.3) 1.08 5.9±0.02µs ? ?/sec 1.00 5.4±0.00µs ? ?/sec append_rows 8192 53 columns 1.00 1718.8±6.33µs ? ?/sec 1.00 1721.6±2.41µs ? ?/sec convert_columns 10 large_list(0) of u64(0) 1.00 849.7±1.88ns ? ?/sec 1.00 853.4±7.71ns ? ?/sec convert_columns 10 list(0) of u64(0) 1.01 874.9±3.23ns ? ?/sec 1.00 869.8±7.28ns ? ?/sec convert_columns 4096 4096 string_dictionary(20, 0.5), string_dictionary(30, 0), string_dictionary(100, 0), i64(0) 1.00 189.5±1.51µs ? ?/sec 1.01 192.1±1.49µs ? ?/sec convert_columns 4096 53 columns 1.00 824.8±2.74µs ? ?/sec 1.01 831.3±1.15µs ? ?/sec convert_columns 4096 bool(0, 0.5) 1.05 5.4±0.00µs ? ?/sec 1.00 5.2±0.03µs ? ?/sec convert_columns 4096 bool(0.3, 0.5) 1.00 6.0±0.00µs ? ?/sec 1.00 6.0±0.00µs ? ?/sec convert_columns 4096 i64(0) 1.01 4.7±0.22µs ? ?/sec 1.00 4.6±0.01µs ? ?/sec convert_columns 4096 i64(0.3) 1.02 5.7±0.01µs ? ?/sec 1.00 5.6±0.01µs ? ?/sec convert_columns 4096 large_list(0) of u64(0) 1.02 91.7±0.25µs ? ?/sec 1.00 89.6±0.15µs ? ?/sec convert_columns 4096 large_list(0) sliced to 10 of u64(0) 1.00 1045.8±2.00ns ? ?/sec 1.00 1046.2±5.99ns ? ?/sec convert_columns 4096 list(0) of u64(0) 1.00 91.2±0.18µs ? ?/sec 1.01 92.0±0.16µs ? ?/sec convert_columns 4096 list(0) sliced to 10 of u64(0) 1.00 1119.0±2.68ns ? ?/sec 1.03 1155.4±7.60ns ? ?/sec convert_columns 4096 run_primitive(1024 physical) 1.00 22.7±0.24µs ? ?/sec 1.00 22.8±0.25µs ? ?/sec convert_columns 4096 run_primitive(256 physical) 1.00 12.7±0.05µs ? ?/sec 1.00 12.7±0.06µs ? ?/sec convert_columns 4096 run_primitive(512 physical) 1.00 15.7±0.20µs ? ?/sec 1.00 15.7±0.20µs ? ?/sec convert_columns 4096 string view(1..100, 0) 1.02 38.5±0.11µs ? ?/sec 1.00 37.9±0.14µs ? ?/sec convert_columns 4096 string view(1..100, 0.5) 1.05 32.5±0.41µs ? ?/sec 1.00 30.8±0.39µs ? ?/sec convert_columns 4096 string view(10, 0) 1.00 29.6±0.10µs ? ?/sec 1.00 29.5±0.08µs ? ?/sec convert_columns 4096 string view(100, 0) 1.01 44.9±0.26µs ? ?/sec 1.00 44.6±0.15µs ? ?/sec convert_columns 4096 string view(100, 0.5) 1.01 37.4±0.32µs ? ?/sec 1.00 37.0±0.29µs ? ?/sec convert_columns 4096 string view(30, 0) 1.00 34.6±0.04µs ? ?/sec 1.00 34.5±0.07µs ? ?/sec convert_columns 4096 string(10, 0) 1.00 26.8±0.12µs ? ?/sec 1.00 26.9±0.03µs ? ?/sec convert_columns 4096 string(100, 0) 1.00 37.0±0.13µs ? ?/sec 1.00 36.9±0.13µs ? ?/sec convert_columns 4096 string(100, 0.5) 1.00 32.7±0.44µs ? ?/sec 1.06 34.8±0.32µs ? ?/sec convert_columns 4096 string(20, 0.5), string(30, 0), string(100, 0), i64(0) 1.00 93.8±1.70µs ? ?/sec 1.01 94.7±1.66µs ? ?/sec convert_columns 4096 string(30, 0) 1.01 29.8±1.29µs ? ?/sec 1.00 29.6±1.24µs ? ?/sec convert_columns 4096 string_dictionary(10, 0) 1.00 50.2±0.04µs ? ?/sec 1.03 51.6±0.03µs ? ?/sec convert_columns 4096 string_dictionary(100, 0) 1.00 74.4±0.87µs ? ?/sec 1.00 74.4±0.15µs ? ?/sec convert_columns 4096 string_dictionary(100, 0.5) 1.00 52.6±0.23µs ? ?/sec 1.07 56.2±0.29µs ? ?/sec convert_columns 4096 string_dictionary(30, 0) 1.00 56.4±1.27µs ? ?/sec 1.00 56.1±1.20µs ? ?/sec convert_columns 4096 string_dictionary_low_cardinality(10, 0) 1.01 23.5±0.02µs ? ?/sec 1.00 23.2±0.02µs ? ?/sec convert_columns 4096 string_dictionary_low_cardinality(100, 0) 1.01 33.7±0.15µs ? ?/sec 1.00 33.4±0.05µs ? ?/sec convert_columns 4096 string_dictionary_low_cardinality(30, 0) 1.01 26.0±0.08µs ? ?/sec 1.00 25.8±0.08µs ? ?/sec convert_columns 4096 u64(0) 1.00 4.4±0.01µs ? ?/sec 1.01 4.4±0.07µs ? ?/sec convert_columns 4096 u64(0.3) 1.08 6.1±0.05µs ? ?/sec 1.00 5.7±0.01µs ? ?/sec convert_columns 8192 53 columns 1.00 1718.1±3.58µs ? ?/sec 1.00 1725.3±2.50µs ? ?/sec convert_columns_prepared 10 large_list(0) of u64(0) 1.00 638.3±2.69ns ? ?/sec 1.00 639.4±4.83ns ? ?/sec convert_columns_prepared 10 list(0) of u64(0) 1.01 667.6±3.18ns ? ?/sec 1.00 662.7±4.44ns ? ?/sec convert_columns_prepared 4096 4096 string_dictionary(20, 0.5), string_dictionary(30, 0), string_dictionary(100, 0), i64(0) 1.00 185.8±1.46µs ? ?/sec 1.01 187.9±1.34µs ? ?/sec convert_columns_prepared 4096 53 columns 1.00 821.6±1.36µs ? ?/sec 1.02 834.0±2.02µs ? ?/sec convert_columns_prepared 4096 bool(0, 0.5) 1.03 5.3±0.00µs ? ?/sec 1.00 5.1±0.06µs ? ?/sec convert_columns_prepared 4096 bool(0.3, 0.5) 1.00 5.9±0.00µs ? ?/sec 1.00 5.9±0.01µs ? ?/sec convert_columns_prepared 4096 i64(0) 1.00 4.5±0.01µs ? ?/sec 1.01 4.5±0.01µs ? ?/sec convert_columns_prepared 4096 i64(0.3) 1.02 5.6±0.00µs ? ?/sec 1.00 5.5±0.01µs ? ?/sec convert_columns_prepared 4096 large_list(0) of u64(0) 1.02 91.3±0.22µs ? ?/sec 1.00 89.2±0.15µs ? ?/sec convert_columns_prepared 4096 large_list(0) sliced to 10 of u64(0) 1.00 833.3±2.47ns ? ?/sec 1.01 838.3±5.29ns ? ?/sec convert_columns_prepared 4096 list(0) of u64(0) 1.00 91.0±0.17µs ? ?/sec 1.01 91.7±0.15µs ? ?/sec convert_columns_prepared 4096 list(0) sliced to 10 of u64(0) 1.00 910.4±4.74ns ? ?/sec 1.00 913.7±4.70ns ? ?/sec convert_columns_prepared 4096 run_primitive(1024 physical) 1.00 22.2±0.42µs ? ?/sec 1.02 22.6±0.19µs ? ?/sec convert_columns_prepared 4096 run_primitive(256 physical) 1.00 12.5±0.05µs ? ?/sec 1.00 12.5±0.05µs ? ?/sec convert_columns_prepared 4096 run_primitive(512 physical) 1.00 15.5±0.18µs ? ?/sec 1.00 15.4±0.19µs ? ?/sec convert_columns_prepared 4096 string view(1..100, 0) 1.01 38.4±0.22µs ? ?/sec 1.00 38.0±0.21µs ? ?/sec convert_columns_prepared 4096 string view(1..100, 0.5) 1.06 32.7±1.57µs ? ?/sec 1.00 30.7±0.41µs ? ?/sec convert_columns_prepared 4096 string view(10, 0) 1.00 29.3±0.05µs ? ?/sec 1.00 29.4±0.03µs ? ?/sec convert_columns_prepared 4096 string view(100, 0) 1.00 44.3±0.20µs ? ?/sec 1.02 45.3±0.19µs ? ?/sec convert_columns_prepared 4096 string view(100, 0.5) 1.00 37.2±0.41µs ? ?/sec 1.00 37.3±0.33µs ? ?/sec convert_columns_prepared 4096 string view(30, 0) 1.00 34.2±0.08µs ? ?/sec 1.01 34.5±0.07µs ? ?/sec convert_columns_prepared 4096 string(10, 0) 1.00 26.6±0.03µs ? ?/sec 1.01 26.7±0.08µs ? ?/sec convert_columns_prepared 4096 string(100, 0) 1.00 36.8±0.13µs ? ?/sec 1.01 37.3±0.11µs ? ?/sec convert_columns_prepared 4096 string(100, 0.5) 1.00 34.1±1.76µs ? ?/sec 1.01 34.3±0.37µs ? ?/sec convert_columns_prepared 4096 string(20, 0.5), string(30, 0), string(100, 0), i64(0) 1.00 93.8±1.69µs ? ?/sec 1.01 94.6±1.64µs ? ?/sec convert_columns_prepared 4096 string(30, 0) 1.00 29.5±1.26µs ? ?/sec 1.00 29.5±1.24µs ? ?/sec convert_columns_prepared 4096 string_dictionary(10, 0) 1.00 49.2±0.04µs ? ?/sec 1.00 49.3±0.04µs ? ?/sec convert_columns_prepared 4096 string_dictionary(100, 0) 1.00 72.0±0.19µs ? ?/sec 1.02 73.4±0.14µs ? ?/sec convert_columns_prepared 4096 string_dictionary(100, 0.5) 1.00 52.1±0.17µs ? ?/sec 1.03 53.8±0.19µs ? ?/sec convert_columns_prepared 4096 string_dictionary(30, 0) 1.00 55.1±1.29µs ? ?/sec 1.02 56.3±1.27µs ? ?/sec convert_columns_prepared 4096 string_dictionary_low_cardinality(10, 0) 1.01 22.5±0.04µs ? ?/sec 1.00 22.3±0.06µs ? ?/sec convert_columns_prepared 4096 string_dictionary_low_cardinality(100, 0) 1.00 32.7±0.02µs ? ?/sec 1.00 32.7±0.09µs ? ?/sec convert_columns_prepared 4096 string_dictionary_low_cardinality(30, 0) 1.01 24.9±0.05µs ? ?/sec 1.00 24.7±0.03µs ? ?/sec convert_columns_prepared 4096 u64(0) 1.00 4.2±0.01µs ? ?/sec 1.23 5.2±0.49µs ? ?/sec convert_columns_prepared 4096 u64(0.3) 1.09 6.0±0.03µs ? ?/sec 1.00 5.5±0.01µs ? ?/sec convert_columns_prepared 8192 53 columns 1.01 1730.7±10.02µs ? ?/sec 1.00 1721.1±1.86µs ? ?/sec convert_rows 10 large_list(0) of u64(0) 1.34 1284.2±4.61ns ? ?/sec 1.00 957.3±4.62ns ? ?/sec convert_rows 10 list(0) of u64(0) 1.33 1343.6±7.00ns ? ?/sec 1.00 1010.2±5.80ns ? ?/sec convert_rows 4096 4096 string_dictionary(20, 0.5), string_dictionary(30, 0), string_dictionary(100, 0), i64(0) 1.07 235.2±0.55µs ? ?/sec 1.00 220.1±0.36µs ? ?/sec convert_rows 4096 53 columns 1.10 1852.6±2.73µs ? ?/sec 1.00 1686.4±3.48µs ? ?/sec convert_rows 4096 bool(0, 0.5) 1.03 13.8±0.01µs ? ?/sec 1.00 13.4±0.01µs ? ?/sec convert_rows 4096 bool(0.3, 0.5) 1.03 13.8±0.01µs ? ?/sec 1.00 13.4±0.01µs ? ?/sec convert_rows 4096 i64(0) 1.27 26.7±0.04µs ? ?/sec 1.00 21.0±0.02µs ? ?/sec convert_rows 4096 i64(0.3) 1.27 26.7±0.02µs ? ?/sec 1.00 21.0±0.01µs ? ?/sec convert_rows 4096 large_list(0) of u64(0) 1.04 165.7±0.27µs ? ?/sec 1.00 159.6±0.35µs ? ?/sec convert_rows 4096 large_list(0) sliced to 10 of u64(0) 1.30 1591.6±3.51ns ? ?/sec 1.00 1228.8±6.64ns ? ?/sec convert_rows 4096 list(0) of u64(0) 1.11 176.2±0.24µs ? ?/sec 1.00 159.1±0.31µs ? ?/sec convert_rows 4096 list(0) sliced to 10 of u64(0) 1.28 1706.3±4.69ns ? ?/sec 1.00 1333.1±5.51ns ? ?/sec convert_rows 4096 run_primitive(1024 physical) 1.03 78.0±0.16µs ? ?/sec 1.00 75.7±0.16µs ? ?/sec convert_rows 4096 run_primitive(256 physical) 1.01 54.9±0.05µs ? ?/sec 1.00 54.5±0.09µs ? ?/sec convert_rows 4096 run_primitive(512 physical) 1.02 63.2±0.09µs ? ?/sec 1.00 61.8±0.16µs ? ?/sec convert_rows 4096 string view(1..100, 0) 1.00 70.7±0.07µs ? ?/sec 1.16 81.9±0.30µs ? ?/sec convert_rows 4096 string view(1..100, 0.5) 1.00 48.4±0.08µs ? ?/sec 1.45 70.3±0.44µs ? ?/sec convert_rows 4096 string view(10, 0) 1.12 50.5±0.05µs ? ?/sec 1.00 44.9±0.25µs ? ?/sec convert_rows 4096 string view(100, 0) 1.06 102.6±0.12µs ? ?/sec 1.00 96.9±0.10µs ? ?/sec convert_rows 4096 string view(100, 0.5) 1.00 62.5±0.06µs ? ?/sec 1.02 64.0±0.12µs ? ?/sec convert_rows 4096 string view(30, 0) 1.09 63.6±0.11µs ? ?/sec 1.00 58.1±0.04µs ? ?/sec convert_rows 4096 string(10, 0) 1.09 44.3±0.04µs ? ?/sec 1.00 40.6±0.07µs ? ?/sec convert_rows 4096 string(100, 0) 1.03 101.8±0.09µs ? ?/sec 1.00 99.1±0.16µs ? ?/sec convert_rows 4096 string(100, 0.5) 1.00 60.8±0.04µs ? ?/sec 1.02 61.9±0.18µs ? ?/sec convert_rows 4096 string(20, 0.5), string(30, 0), string(100, 0), i64(0) 1.07 237.3±0.27µs ? ?/sec 1.00 222.3±0.37µs ? ?/sec convert_rows 4096 string(30, 0) 1.08 69.3±0.08µs ? ?/sec 1.00 64.3±0.11µs ? ?/sec convert_rows 4096 string_dictionary(10, 0) 1.09 44.4±0.05µs ? ?/sec 1.00 40.9±0.05µs ? ?/sec convert_rows 4096 string_dictionary(100, 0) 1.03 102.1±0.07µs ? ?/sec 1.00 99.3±0.13µs ? ?/sec convert_rows 4096 string_dictionary(100, 0.5) 1.00 60.9±0.04µs ? ?/sec 1.01 61.7±0.14µs ? ?/sec convert_rows 4096 string_dictionary(30, 0) 1.08 69.6±0.06µs ? ?/sec 1.00 64.6±0.39µs ? ?/sec convert_rows 4096 string_dictionary_low_cardinality(10, 0) 1.09 44.5±0.27µs ? ?/sec 1.00 40.7±0.03µs ? ?/sec convert_rows 4096 string_dictionary_low_cardinality(100, 0) 1.02 101.7±0.10µs ? ?/sec 1.00 100.1±0.10µs ? ?/sec convert_rows 4096 string_dictionary_low_cardinality(30, 0) 1.07 69.4±0.06µs ? ?/sec 1.00 64.8±0.42µs ? ?/sec convert_rows 4096 u64(0) 1.28 26.3±0.03µs ? ?/sec 1.00 20.6±0.05µs ? ?/sec convert_rows 4096 u64(0.3) 1.28 26.3±0.01µs ? ?/sec 1.00 20.6±0.02µs ? ?/sec convert_rows 8192 53 columns 1.08 4.4±0.02ms ? ?/sec 1.00 4.1±0.01ms ? ?/sec iterate rows 1.00 2.0±0.00µs ? ?/sec 1.00 2.0±0.00µs ? ?/sec ``` </p> </details> <details><summary>Resource Usage</summary> **base (merge-base)** | Metric | Value | |--------|-------| | Wall time | 1400.3s | | Peak memory | 28.4 MiB | | Avg memory | 8.5 MiB | | CPU user | 1393.0s | | CPU sys | 0.3s | | Peak spill | 0 B | **branch** | Metric | Value | |--------|-------| | Wall time | 1430.3s | | Peak memory | 22.5 MiB | | Avg memory | 8.4 MiB | | CPU user | 1425.5s | | CPU sys | 0.3s | | 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. 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