Apache Spark AMD EPYC

2 x AMD EPYC 7713 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2208047-NE-APACHESPA20
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A
August 04 2022
  15 Hours
B
August 04 2022
  19 Hours, 18 Minutes
C
August 04 2022
  2 Hours, 32 Minutes
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  12 Hours, 17 Minutes

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A

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173
Java Notes: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

B

C

Processor: 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710

OS: Ubuntu 22.04, Kernel: 5.19.0-051900daily20220803-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080

Apache Spark AMD EPYCOpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse512GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE2282 x Mellanox MT27710Ubuntu 22.045.19.0-051900daily20220803-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.31.2.204GCC 11.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionApache Spark AMD EPYC BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173 - OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)- Python 3.10.4- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCResult OverviewPhoronix Test Suite100%129%157%186%214%Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache Spark40000000 - 2000 - C.P.B.U.D1000000 - 2000 - R.T.T20000000 - 1000 - C.P.B.U.D1000000 - 1000 - C.P.B.U.D40000000 - 100 - C.P.B.U.D40000000 - 1000 - C.P.B.U.D1000000 - 1000 - Group By Test Time10000000 - 500 - C.P.B.U.D10000000 - 1000 - C.P.B.U.D40000000 - 500 - C.P.B.U.D1000000 - 100 - C.P.B.U.D10000000 - 100 - R.T.T1000000 - 1000 - R.T.T20000000 - 500 - C.P.B.U.D20000000 - 2000 - C.P.B.U.D1000000 - 100 - I.J.T.T1000000 - 2000 - B.I.J.T.T10000000 - 100 - I.J.T.T1000000 - 2000 - Group By Test Time1000000 - 100 - B.I.J.T.T10000000 - 100 - Group By Test Time1000000 - 1000 - S.5.B.T10000000 - 100 - B.I.J.T.T1000000 - 100 - R.T.T1000000 - 1000 - I.J.T.T20000000 - 2000 - S.5.B.T1000000 - 1000 - B.I.J.T.T1000000 - 100 - Group By Test Time10000000 - 1000 - S.5.B.T10000000 - 500 - S.5.B.T1000000 - 2000 - I.J.T.T1000000 - 100 - S.5.B.T20000000 - 1000 - S.5.B.T40000000 - 100 - S.5.B.T40000000 - 1000 - C.P.B40000000 - 1000 - S.5.B.T40000000 - 500 - C.P.B20000000 - 500 - C.P.B40000000 - 2000 - S.5.B.T1000000 - 1000 - C.P.B40000000 - 2000 - C.P.B20000000 - 2000 - C.P.B1000000 - 100 - C.P.B40000000 - 100 - C.P.B20000000 - 500 - S.5.B.T10000000 - 1000 - C.P.B40000000 - 500 - S.5.B.T20000000 - 1000 - C.P.B10000000 - 500 - C.P.B

Apache Spark AMD EPYCspark: 1000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 100 - Calculate Pi Benchmarkspark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Group By Test Timespark: 1000000 - 100 - Repartition Test Timespark: 1000000 - 100 - Inner Join Test Timespark: 1000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 500 - Calculate Pi Benchmarkspark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 1000000 - 1000 - Calculate Pi Benchmarkspark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 1000 - Group By Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 1000000 - 1000 - Inner Join Test Timespark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 2000 - Calculate Pi Benchmarkspark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 2000 - Group By Test Timespark: 1000000 - 2000 - Repartition Test Timespark: 1000000 - 2000 - Inner Join Test Timespark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 100 - SHA-512 Benchmark Timespark: 10000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 100 - Group By Test Timespark: 10000000 - 100 - Repartition Test Timespark: 10000000 - 100 - Inner Join Test Timespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 10000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 500 - Calculate Pi Benchmarkspark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 100 - SHA-512 Benchmark Timespark: 20000000 - 100 - Calculate Pi Benchmarkspark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 500 - SHA-512 Benchmark Timespark: 20000000 - 500 - Calculate Pi Benchmarkspark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - SHA-512 Benchmark Timespark: 40000000 - 100 - Calculate Pi Benchmarkspark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - SHA-512 Benchmark Timespark: 40000000 - 500 - Calculate Pi Benchmarkspark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Calculate Pi Benchmarkspark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - SHA-512 Benchmark Timespark: 20000000 - 1000 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 20000000 - 2000 - Calculate Pi Benchmarkspark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 1000 - SHA-512 Benchmark Timespark: 40000000 - 1000 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Group By Test Timespark: 1000000 - 500 - Repartition Test Timespark: 1000000 - 500 - Inner Join Test Timespark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 20000000 - 100 - Group By Test Timespark: 20000000 - 100 - Repartition Test Timespark: 20000000 - 100 - Inner Join Test Timespark: 20000000 - 100 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Group By Test Timespark: 10000000 - 2000 - Repartition Test Timespark: 10000000 - 2000 - Inner Join Test Timespark: 10000000 - 2000 - Broadcast Inner Join Test TimeABC4.5417.583.676.532.942.921.865.9317.473.185.9117.453.3811.955.496.583.905.9117.523.2111.056.047.184.4211.6017.483.5112.327.288.515.8113.2917.453.8018.8317.384.2520.3717.453.4434.9617.543.4435.2617.673.3812.9117.443.5413.1917.483.3420.9517.473.3420.9617.423.6735.1817.332.9035.7817.632.044.6217.533.126.782.753.171.846.0117.493.226.3617.592.4614.256.256.933.976.1617.553.6410.965.987.344.0411.6317.373.6813.268.379.126.2312.8517.493.3119.2017.403.3920.4617.643.8235.1217.513.0935.0317.413.2813.0917.543.2213.0917.423.2220.6517.503.5720.4717.303.6235.5517.313.5535.3617.543.4315.624.875.594.4937.6113.4814.2512.0218.1914.4412.768.184.4517.753.486.912.913.211.995.5817.192.936.0817.803.0311.056.167.014.136.1317.463.3111.868.517.474.4411.5017.392.2812.678.169.276.0312.72350245817.483.0819.49217489517.403.6220.2617.263.4033.9417.712.5335.2817.283.9712.5317.612.8913.4517.113.8521.4217.432.5621.7417.613.3336.2117.843.8035.0717.314.3670292639.2613.8612.7610.87OpenBenchmarking.org

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeABC1.03952.0793.11854.1585.1975SE +/- 0.03, N = 3SE +/- 0.06, N = 44.544.624.45

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkABC48121620SE +/- 0.20, N = 3SE +/- 0.13, N = 417.5817.5317.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC0.82581.65162.47743.30324.129SE +/- 0.32, N = 3SE +/- 0.31, N = 43.673.123.48

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeABC246810SE +/- 0.04, N = 3SE +/- 0.02, N = 46.536.786.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test TimeABC0.66151.3231.98452.6463.3075SE +/- 0.12, N = 3SE +/- 0.07, N = 42.942.752.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeABC0.72231.44462.16692.88923.6115SE +/- 0.04, N = 3SE +/- 0.03, N = 42.923.173.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC0.44780.89561.34341.79122.239SE +/- 0.08, N = 3SE +/- 0.05, N = 41.861.841.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeCAB246810SE +/- 0.09, N = 15SE +/- 0.09, N = 155.545.936.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkCAB48121620SE +/- 0.07, N = 15SE +/- 0.07, N = 1517.3017.4717.49

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeCAB0.85281.70562.55843.41124.264SE +/- 0.16, N = 15SE +/- 0.16, N = 153.793.183.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC246810SE +/- 0.06, N = 15SE +/- 0.06, N = 35.916.366.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkABC48121620SE +/- 0.06, N = 15SE +/- 0.19, N = 317.4517.5917.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC0.76051.5212.28153.0423.8025SE +/- 0.21, N = 15SE +/- 0.30, N = 33.382.463.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Group By Test TimeABC48121620SE +/- 0.70, N = 9SE +/- 2.86, N = 211.9514.2511.05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeABC246810SE +/- 0.16, N = 9SE +/- 0.43, N = 25.496.256.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeABC246810SE +/- 0.25, N = 9SE +/- 0.77, N = 26.586.937.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABC0.92931.85862.78793.71724.6465SE +/- 0.10, N = 9SE +/- 0.30, N = 23.903.974.13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeCAB246810SE +/- 0.07, N = 15SE +/- 0.05, N = 85.915.916.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkCAB48121620SE +/- 0.07, N = 15SE +/- 0.09, N = 817.6917.5217.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeCAB0.8191.6382.4573.2764.095SE +/- 0.18, N = 15SE +/- 0.27, N = 83.253.213.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeABC3691215SE +/- 0.24, N = 11SE +/- 0.32, N = 611.0510.9611.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeABC246810SE +/- 0.22, N = 11SE +/- 0.25, N = 66.045.988.51

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeABC246810SE +/- 0.22, N = 11SE +/- 0.23, N = 67.187.347.47

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABC0.9991.9982.9973.9964.995SE +/- 0.11, N = 11SE +/- 0.12, N = 64.424.044.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeCAB3691215SE +/- 0.09, N = 3SE +/- 0.11, N = 1512.2411.6011.63

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkCAB48121620SE +/- 0.11, N = 3SE +/- 0.05, N = 1517.3817.4817.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeCAB0.8281.6562.4843.3124.14SE +/- 0.13, N = 3SE +/- 0.13, N = 152.043.513.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeABC3691215SE +/- 0.23, N = 3SE +/- 0.27, N = 1112.3213.2612.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeABC246810SE +/- 0.41, N = 3SE +/- 0.16, N = 117.288.378.16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test TimeABC3691215SE +/- 0.09, N = 3SE +/- 0.18, N = 118.519.129.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeABC246810SE +/- 0.24, N = 3SE +/- 0.13, N = 115.816.236.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeABC3691215SE +/- 0.15, N = 3SE +/- 0.13, N = 513.2912.8512.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkABC48121620SE +/- 0.11, N = 3SE +/- 0.13, N = 517.4517.4917.48

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC0.8551.712.5653.424.275SE +/- 0.30, N = 3SE +/- 0.46, N = 53.803.313.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeCAB510152025SE +/- 0.20, N = 3SE +/- 0.17, N = 1220.1918.8319.20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi BenchmarkCAB48121620SE +/- 0.16, N = 3SE +/- 0.06, N = 1217.3517.3817.40

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeCAB0.95631.91262.86893.82524.7815SE +/- 0.03, N = 3SE +/- 0.21, N = 122.904.253.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeABC510152025SE +/- 0.21, N = 3SE +/- 0.13, N = 320.3720.4620.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkABC48121620SE +/- 0.18, N = 3SE +/- 0.10, N = 317.4517.6417.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC0.85951.7192.57853.4384.2975SE +/- 0.33, N = 3SE +/- 0.64, N = 33.443.823.40

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeABC816243240SE +/- 0.27, N = 12SE +/- 0.38, N = 934.9635.1233.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkABC48121620SE +/- 0.06, N = 12SE +/- 0.10, N = 917.5417.5117.71

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABC0.7741.5482.3223.0963.87SE +/- 0.20, N = 12SE +/- 0.24, N = 93.443.092.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeABC816243240SE +/- 0.33, N = 3SE +/- 0.38, N = 535.2635.0335.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkABC48121620SE +/- 0.09, N = 3SE +/- 0.07, N = 517.6717.4117.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABC0.89331.78662.67993.57324.4665SE +/- 0.34, N = 3SE +/- 0.36, N = 53.383.283.97

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC3691215SE +/- 0.10, N = 12SE +/- 0.15, N = 1212.9113.0912.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkABC48121620SE +/- 0.07, N = 12SE +/- 0.13, N = 1217.4417.5417.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC0.79651.5932.38953.1863.9825SE +/- 0.19, N = 12SE +/- 0.15, N = 123.543.222.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark TimeCAB48121620SE +/- 0.15, N = 15SE +/- 0.12, N = 1513.0313.1913.09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkCAB48121620SE +/- 0.05, N = 15SE +/- 0.07, N = 1517.4517.4817.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeCAB0.92031.84062.76093.68124.6015SE +/- 0.22, N = 15SE +/- 0.18, N = 153.003.343.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC510152025SE +/- 0.23, N = 5SE +/- 0.28, N = 320.9520.6521.42

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkABC48121620SE +/- 0.11, N = 5SE +/- 0.12, N = 317.4717.5017.43

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC0.80331.60662.40993.21324.0165SE +/- 0.33, N = 5SE +/- 0.29, N = 33.343.572.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC510152025SE +/- 0.18, N = 12SE +/- 0.25, N = 320.9620.4721.74

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkABC48121620SE +/- 0.06, N = 12SE +/- 0.06, N = 317.4217.3017.61

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC0.82581.65162.47743.30324.129SE +/- 0.23, N = 12SE +/- 0.57, N = 33.673.623.33

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeABC816243240SE +/- 0.38, N = 5SE +/- 0.50, N = 335.1835.5536.21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkABC48121620SE +/- 0.07, N = 5SE +/- 0.01, N = 317.3317.3117.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABC0.8551.712.5653.424.275SE +/- 0.35, N = 5SE +/- 0.36, N = 32.903.553.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeABC816243240SE +/- 0.09, N = 3SE +/- 0.39, N = 535.7835.3635.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkABC48121620SE +/- 0.16, N = 3SE +/- 0.10, N = 517.6317.5417.31

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABC0.98261.96522.94783.93044.913SE +/- 0.01771345, N = 3SE +/- 0.23677806, N = 52.040000003.430000004.36702926

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeB48121620SE +/- 4.11, N = 215.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeB1.09582.19163.28744.38325.479SE +/- 0.07, N = 24.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test TimeB1.25782.51563.77345.03126.289SE +/- 0.17, N = 25.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeB1.01032.02063.03094.04125.0515SE +/- 0.46, N = 24.49

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test TimeBC918273645SE +/- 3.13, N = 237.6139.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Repartition Test TimeBC48121620SE +/- 0.08, N = 213.4813.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeBC48121620SE +/- 0.76, N = 214.2512.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeBC3691215SE +/- 0.81, N = 212.0210.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeB48121620SE +/- 0.52, N = 218.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeB48121620SE +/- 0.97, N = 214.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeB3691215SE +/- 1.47, N = 212.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeB246810SE +/- 0.39, N = 28.18

76 Results Shown

Apache Spark:
  1000000 - 100 - SHA-512 Benchmark Time
  1000000 - 100 - Calculate Pi Benchmark
  1000000 - 100 - Calculate Pi Benchmark Using Dataframe
  1000000 - 100 - Group By Test Time
  1000000 - 100 - Repartition Test Time
  1000000 - 100 - Inner Join Test Time
  1000000 - 100 - Broadcast Inner Join Test Time
  1000000 - 500 - SHA-512 Benchmark Time
  1000000 - 500 - Calculate Pi Benchmark
  1000000 - 500 - Calculate Pi Benchmark Using Dataframe
  1000000 - 1000 - SHA-512 Benchmark Time
  1000000 - 1000 - Calculate Pi Benchmark
  1000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 1000 - Group By Test Time
  1000000 - 1000 - Repartition Test Time
  1000000 - 1000 - Inner Join Test Time
  1000000 - 1000 - Broadcast Inner Join Test Time
  1000000 - 2000 - SHA-512 Benchmark Time
  1000000 - 2000 - Calculate Pi Benchmark
  1000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 2000 - Group By Test Time
  1000000 - 2000 - Repartition Test Time
  1000000 - 2000 - Inner Join Test Time
  1000000 - 2000 - Broadcast Inner Join Test Time
  10000000 - 100 - SHA-512 Benchmark Time
  10000000 - 100 - Calculate Pi Benchmark
  10000000 - 100 - Calculate Pi Benchmark Using Dataframe
  10000000 - 100 - Group By Test Time
  10000000 - 100 - Repartition Test Time
  10000000 - 100 - Inner Join Test Time
  10000000 - 100 - Broadcast Inner Join Test Time
  10000000 - 500 - SHA-512 Benchmark Time
  10000000 - 500 - Calculate Pi Benchmark
  10000000 - 500 - Calculate Pi Benchmark Using Dataframe
  20000000 - 100 - SHA-512 Benchmark Time
  20000000 - 100 - Calculate Pi Benchmark
  20000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 500 - SHA-512 Benchmark Time
  20000000 - 500 - Calculate Pi Benchmark
  20000000 - 500 - Calculate Pi Benchmark Using Dataframe
  40000000 - 100 - SHA-512 Benchmark Time
  40000000 - 100 - Calculate Pi Benchmark
  40000000 - 100 - Calculate Pi Benchmark Using Dataframe
  40000000 - 500 - SHA-512 Benchmark Time
  40000000 - 500 - Calculate Pi Benchmark
  40000000 - 500 - Calculate Pi Benchmark Using Dataframe
  10000000 - 1000 - SHA-512 Benchmark Time
  10000000 - 1000 - Calculate Pi Benchmark
  10000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 2000 - SHA-512 Benchmark Time
  10000000 - 2000 - Calculate Pi Benchmark
  10000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 1000 - SHA-512 Benchmark Time
  20000000 - 1000 - Calculate Pi Benchmark
  20000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - SHA-512 Benchmark Time
  20000000 - 2000 - Calculate Pi Benchmark
  20000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 1000 - SHA-512 Benchmark Time
  40000000 - 1000 - Calculate Pi Benchmark
  40000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 2000 - SHA-512 Benchmark Time
  40000000 - 2000 - Calculate Pi Benchmark
  40000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  1000000 - 500 - Group By Test Time
  1000000 - 500 - Repartition Test Time
  1000000 - 500 - Inner Join Test Time
  1000000 - 500 - Broadcast Inner Join Test Time
  20000000 - 100 - Group By Test Time
  20000000 - 100 - Repartition Test Time
  20000000 - 100 - Inner Join Test Time
  20000000 - 100 - Broadcast Inner Join Test Time
  10000000 - 2000 - Group By Test Time
  10000000 - 2000 - Repartition Test Time
  10000000 - 2000 - Inner Join Test Time
  10000000 - 2000 - Broadcast Inner Join Test Time

A

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173
Java Notes: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 4 August 2022 04:38 by user phoronix.

B

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173
Java Notes: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 4 August 2022 09:03 by user phoronix.

C

Processor: 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710

OS: Ubuntu 22.04, Kernel: 5.19.0-051900daily20220803-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173
Java Notes: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 4 August 2022 14:16 by user phoronix.