spark svt

AMD EPYC 7551 32-Core testing with a GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS) and ASPEED on Debian 11 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 2208045-HA-SPARKSVT093
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A
August 04 2022
  6 Hours, 51 Minutes
B
August 04 2022
  6 Hours, 48 Minutes
C
August 04 2022
  6 Hours, 44 Minutes
D
August 04 2022
  6 Hours, 47 Minutes
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spark svtOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads)GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS)AMD 17h8 x 4 GB DDR4-2667MT/s 9ASF51272PZ-2G6E1Samsung SSD 960 EVO 500GB + 31GB SanDisk 3.2Gen1ASPEEDRealtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10Debian 115.10.0-9-amd64 (x86_64)GCC 10.2.1 20210110ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionSpark Svt BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-Km9U7s/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-Km9U7s/gcc-10-10.2.1/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8001227- OpenJDK Runtime Environment (build 11.0.12+7-post-Debian-2)- Python 3.9.2- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCDResult OverviewPhoronix Test Suite100%126%153%179%205%Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkSVT-AV1Apache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache SparkApache Spark1000000 - 100 - R.T.T1000000 - 1000 - R.T.T1000000 - 2000 - B.I.J.T.T1000000 - 100 - B.I.J.T.T1000000 - 500 - B.I.J.T.T1000000 - 500 - R.T.T1000000 - 100 - I.J.T.T10000000 - 100 - R.T.T1000000 - 1000 - B.I.J.T.T40000000 - 100 - S.5.B.T10000000 - 500 - Group By Test Time20000000 - 100 - S.5.B.T1000000 - 500 - I.J.T.T1000000 - 1000 - I.J.T.T10000000 - 2000 - B.I.J.T.T1000000 - 2000 - R.T.T20000000 - 1000 - Group By Test Time20000000 - 500 - R.T.TPreset 10 - Bosphorus 4K10000000 - 500 - R.T.T10000000 - 1000 - Group By Test Time10000000 - 100 - Group By Test TimePreset 8 - Bosphorus 4K20000000 - 100 - R.T.T1000000 - 1000 - S.5.B.T10000000 - 2000 - I.J.T.T10000000 - 2000 - Group By Test Time10000000 - 1000 - B.I.J.T.T10000000 - 500 - I.J.T.TPreset 10 - Bosphorus 1080p20000000 - 1000 - S.5.B.T20000000 - 2000 - R.T.T40000000 - 2000 - I.J.T.TPreset 12 - Bosphorus 1080p10000000 - 100 - I.J.T.T20000000 - 100 - I.J.T.T20000000 - 100 - B.I.J.T.T10000000 - 100 - S.5.B.T40000000 - 1000 - S.5.B.T10000000 - 500 - B.I.J.T.T20000000 - 100 - Group By Test Time1000000 - 2000 - I.J.T.T1000000 - 500 - S.5.B.TPreset 12 - Bosphorus 4K10000000 - 1000 - R.T.T40000000 - 100 - R.T.T40000000 - 100 - B.I.J.T.T10000000 - 2000 - S.5.B.T1000000 - 2000 - S.5.B.T40000000 - 500 - S.5.B.T20000000 - 500 - Group By Test Time20000000 - 1000 - R.T.T20000000 - 500 - B.I.J.T.T40000000 - 1000 - Group By Test Time10000000 - 100 - B.I.J.T.T40000000 - 100 - Group By Test Time10000000 - 1000 - I.J.T.T20000000 - 500 - S.5.B.T40000000 - 2000 - R.T.TPreset 8 - Bosphorus 1080p1000000 - 1000 - Group By Test Time40000000 - 2000 - S.5.B.T40000000 - 2000 - Group By Test Time20000000 - 500 - I.J.T.T1000000 - 2000 - Group By Test Time1000000 - 1000 - C.P.B.U.D10000000 - 2000 - R.T.T20000000 - 2000 - S.5.B.T1000000 - 500 - Group By Test Time1000000 - 100 - S.5.B.T10000000 - 1000 - S.5.B.T1000000 - 100 - Group By Test Time10000000 - 500 - C.P.B.U.DPreset 4 - Bosphorus 4K1000000 - 500 - C.P.B.U.D40000000 - 2000 - C.P.B.U.D20000000 - 500 - C.P.B.U.D40000000 - 2000 - B.I.J.T.T1000000 - 2000 - C.P.B.U.D40000000 - 500 - I.J.T.T20000000 - 2000 - I.J.T.T10000000 - 1000 - C.P.B.U.D20000000 - 2000 - Group By Test Time1000000 - 100 - C.P.B.U.D40000000 - 1000 - B.I.J.T.T40000000 - 500 - Group By Test Time40000000 - 1000 - C.P.B.U.D20000000 - 2000 - B.I.J.T.T40000000 - 500 - R.T.TPreset 4 - Bosphorus 1080p10000000 - 2000 - C.P.B.U.D40000000 - 100 - I.J.T.T40000000 - 1000 - I.J.T.T20000000 - 1000 - I.J.T.T20000000 - 1000 - C.P.B.U.D20000000 - 1000 - B.I.J.T.T40000000 - 500 - C.P.B.U.D40000000 - 100 - C.P.B.U.D40000000 - 500 - B.I.J.T.T20000000 - 2000 - C.P.B.U.D40000000 - 1000 - R.T.T

spark svtspark: 1000000 - 100 - Repartition Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Repartition Test Timespark: 1000000 - 100 - Inner Join Test Timespark: 10000000 - 100 - Repartition Test Timespark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 40000000 - 100 - SHA-512 Benchmark Timespark: 10000000 - 500 - Group By Test Timespark: 20000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 500 - Inner Join Test Timespark: 1000000 - 1000 - Inner Join Test Timespark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Repartition Test Timespark: 20000000 - 1000 - Group By Test Timespark: 20000000 - 500 - Repartition Test Timesvt-av1: Preset 10 - Bosphorus 4Kspark: 10000000 - 500 - Repartition Test Timespark: 10000000 - 1000 - Group By Test Timespark: 10000000 - 100 - Group By Test Timesvt-av1: Preset 8 - Bosphorus 4Kspark: 20000000 - 100 - Repartition Test Timespark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 2000 - Inner Join Test Timespark: 10000000 - 2000 - Group By Test Timespark: 10000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 500 - Inner Join Test Timesvt-av1: Preset 10 - Bosphorus 1080pspark: 20000000 - 1000 - SHA-512 Benchmark Timespark: 20000000 - 2000 - Repartition Test Timespark: 40000000 - 2000 - Inner Join Test Timesvt-av1: Preset 12 - Bosphorus 1080pspark: 10000000 - 100 - Inner Join Test Timespark: 20000000 - 100 - Inner Join Test Timespark: 20000000 - 100 - Broadcast Inner Join Test Timespark: 10000000 - 100 - SHA-512 Benchmark Timespark: 40000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 500 - Broadcast Inner Join Test Timespark: 20000000 - 100 - Group By Test Timespark: 1000000 - 2000 - Inner Join Test Timespark: 1000000 - 500 - SHA-512 Benchmark Timesvt-av1: Preset 12 - Bosphorus 4Kspark: 10000000 - 1000 - Repartition Test Timespark: 40000000 - 100 - Repartition Test Timespark: 40000000 - 100 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 500 - SHA-512 Benchmark Timespark: 20000000 - 500 - Group By Test Timespark: 20000000 - 1000 - Repartition Test Timespark: 20000000 - 500 - Broadcast Inner Join Test Timespark: 40000000 - 1000 - Group By Test Timespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 40000000 - 100 - Group By Test Timespark: 10000000 - 1000 - Inner Join Test Timespark: 20000000 - 500 - SHA-512 Benchmark Timespark: 40000000 - 2000 - Repartition Test Timesvt-av1: Preset 8 - Bosphorus 1080pspark: 1000000 - 1000 - Group By Test Timespark: 40000000 - 2000 - SHA-512 Benchmark Timespark: 40000000 - 2000 - Group By Test Timespark: 20000000 - 500 - Inner Join Test Timespark: 1000000 - 2000 - Group By Test Timespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 2000 - Repartition Test Timespark: 20000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 500 - Group By Test Timespark: 1000000 - 100 - SHA-512 Benchmark Timespark: 10000000 - 1000 - SHA-512 Benchmark Timespark: 1000000 - 100 - Group By Test Timespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframesvt-av1: Preset 4 - Bosphorus 4Kspark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Inner Join Test Timespark: 20000000 - 2000 - Inner Join Test Timespark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Group By Test Timespark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 1000 - Broadcast Inner Join Test Timespark: 40000000 - 500 - Group By Test Timespark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Broadcast Inner Join Test Timespark: 40000000 - 500 - Repartition Test Timesvt-av1: Preset 4 - Bosphorus 1080pspark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - Inner Join Test Timespark: 40000000 - 1000 - Inner Join Test Timespark: 20000000 - 1000 - Inner Join Test Timespark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 1000 - Broadcast Inner Join Test Timespark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 500 - Broadcast Inner Join Test Timespark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 40000000 - 1000 - Repartition Test Timespark: 10000000 - 500 - SHA-512 Benchmark Timespark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 20000000 - 2000 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Calculate Pi Benchmarkspark: 10000000 - 1000 - Calculate Pi Benchmarkspark: 1000000 - 100 - Calculate Pi Benchmarkspark: 1000000 - 2000 - Calculate Pi Benchmarkspark: 40000000 - 100 - Calculate Pi Benchmarkspark: 40000000 - 500 - Calculate Pi Benchmarkspark: 10000000 - 100 - Calculate Pi Benchmarkspark: 40000000 - 1000 - Calculate Pi Benchmarkspark: 40000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Calculate Pi Benchmarkspark: 20000000 - 500 - Calculate Pi Benchmarkspark: 20000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 500 - Calculate Pi Benchmarkspark: 1000000 - 1000 - Calculate Pi BenchmarkABCD4.645.435.623.103.165.093.6512.313.0279.4815.3036.154.404.5314.716.1921.5719.1849.1715.1317.0914.5528.87623.167.7617.0819.0912.9712.56129.46238.6323.4337.30193.67213.5121.7619.7022.3871.6712.2821.055.748.5762.04215.3737.6139.4123.008.3163.0821.8222.4218.5045.8711.6742.5813.8737.1134.2961.7829.9963.5445.7019.96169719110.056.0813.8739.289.857.6222.569.246.240.9456.026.036.2938.326.5735.6623.026.1823.476.0537.3646.766.3321.6035.702.4326.1938.2237.9221.886.0420.176.076.0635.726.1035.8221.916.4080.4280.7280.8678.6878.8480.3980.6978.8080.9680.6180.746.0378.3480.5379.1679.6878.883.875.687.742.563.565.985.0116.724.0661.7319.5435.844.585.0112.977.1922.6223.4940.56613.7216.5015.1024.23520.087.4314.9517.9811.1312.17119.49541.1520.3042.99170.27811.7920.0019.1721.4363.0311.2320.295.877.5760.30613.6533.4335.0425.038.6165.0619.5723.2818.1243.7010.5642.5913.7637.9536.6957.43310.8168.3846.8819.4610.776.4014.2639.199.307.1622.148.936.141.0086.426.416.1739.546.2035.8622.886.2823.716.3636.6345.476.0422.2434.162.5395.9336.8537.5421.326.0919.476.266.0936.896.0135.2722.516.2779.8179.7380.0680.0979.7380.8881.2079.5080.7980.4680.676.0379.1179.9179.7379.4478.844.775.304.572.054.477.293.9715.713.2560.3815.0034.034.435.4711.825.7623.7822.4142.50612.6415.0615.1825.16921.418.7515.3818.4711.9514.15131.75135.6320.3141.55196.22913.1122.9021.9024.0763.3612.2918.536.527.7154.82214.8534.6837.2922.317.7166.5720.6422.8420.0841.4811.1238.9814.4040.0334.3362.24110.4265.0043.4220.9510.136.5413.4636.559.537.6921.859.256.220.9746.266.096.0739.506.2137.6522.156.5022.796.2636.1244.616.2421.4235.642.4926.1636.6836.4221.066.1119.456.185.9036.395.9234.7722.006.3178.6579.4479.2779.5678.7079.7180.4378.4479.9180.0179.915.9778.5480.0279.1979.2778.567.949.225.712.913.115.833.5216.343.2871.7715.5044.065.624.3311.756.9719.2319.2046.59115.2614.2017.5125.41519.577.8114.5516.3011.7113.23138.69436.3722.0340.05195.50613.3522.5920.3424.3965.1910.8118.985.757.8255.32414.3436.6936.8722.898.5670.3821.5924.9018.7942.1910.9340.3913.1936.6837.2360.9510.1563.3245.9620.1710.016.1113.2637.419.997.5521.029.566.560.9846.306.025.9140.696.3236.9423.346.3722.556.2635.5845.736.2622.3934.352.5296.1837.7036.8221.836.2719.776.046.1136.096.0834.9421.956.4379.0979.0479.8478.7978.5079.7280.0778.8980.3979.7780.066.0278.6479.7679.2579.2278.62OpenBenchmarking.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 - Repartition Test TimeABCD2468104.643.874.777.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Repartition Test TimeABCD36912155.435.685.309.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABCD2468105.627.744.575.71

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test TimeABCD0.69751.3952.09252.793.48753.102.562.052.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test TimeABCD1.00582.01163.01744.02325.0293.163.564.473.11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test TimeABCD2468105.095.987.295.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test TimeABCD1.12732.25463.38194.50925.63653.655.013.973.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test TimeABCD4812162012.3116.7215.7116.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABCD0.91351.8272.74053.6544.56753.024.063.253.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark TimeABCD2040608010079.4861.7360.3871.77

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Group By Test TimeABCD51015202515.3019.5415.0015.50

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark TimeABCD102030405036.1535.8434.0344.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test TimeABCD1.26452.5293.79355.0586.32254.404.584.435.62

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test TimeABCD1.23082.46163.69244.92326.1544.535.015.474.33

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABCD4812162014.7112.9711.8211.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test TimeABCD2468106.197.195.766.97

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Group By Test TimeABCD61218243021.5722.6223.7819.23

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Repartition Test TimeABCD61218243019.1823.4922.4119.20

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KABCD112233445549.1740.5742.5146.591. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 10000000 - Partitions: 500 - Repartition Test TimeABCD4812162015.1313.7212.6415.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test TimeABCD4812162017.0916.5015.0614.20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test TimeABCD4812162014.5515.1015.1817.51

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KABCD71421283528.8824.2425.1725.421. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 20000000 - Partitions: 100 - Repartition Test TimeABCD61218243023.1620.0821.4119.57

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark TimeABCD2468107.767.438.757.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test TimeABCD4812162017.0814.9515.3814.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test TimeABCD51015202519.0917.9818.4716.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABCD369121512.9711.1311.9511.71

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test TimeABCD4812162012.5612.1714.1513.23

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pABCD306090120150129.46119.50131.75138.691. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 20000000 - Partitions: 1000 - SHA-512 Benchmark TimeABCD91827364538.6341.1535.6336.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Repartition Test TimeABCD61218243023.4320.3020.3122.03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Inner Join Test TimeABCD102030405037.3042.9941.5540.05

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pABCD4080120160200193.67170.28196.23195.511. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 10000000 - Partitions: 100 - Inner Join Test TimeABCD369121513.5111.7913.1113.35

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Inner Join Test TimeABCD51015202521.7620.0022.9022.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test TimeABCD51015202519.7019.1721.9020.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark TimeABCD61218243022.3821.4324.0724.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark TimeABCD163248648071.6763.0363.3665.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test TimeABCD369121512.2811.2312.2910.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Group By Test TimeABCD51015202521.0520.2918.5318.98

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test TimeABCD2468105.745.876.525.75

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark TimeABCD2468108.577.577.717.82

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KABCD142842567062.0460.3154.8255.321. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 10000000 - Partitions: 1000 - Repartition Test TimeABCD4812162015.3713.6514.8514.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Repartition Test TimeABCD91827364537.6133.4334.6836.69

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test TimeABCD91827364539.4135.0437.2936.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark TimeABCD61218243023.0025.0322.3122.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark TimeABCD2468108.318.617.718.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark TimeABCD163248648063.0865.0666.5770.38

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Group By Test TimeABCD51015202521.8219.5720.6421.59

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Repartition Test TimeABCD61218243022.4223.2822.8424.90

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test TimeABCD51015202518.5018.1220.0818.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Group By Test TimeABCD102030405045.8743.7041.4842.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test TimeABCD369121511.6710.5611.1210.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Group By Test TimeABCD102030405042.5842.5938.9840.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test TimeABCD4812162013.8713.7614.4013.19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeABCD91827364537.1137.9540.0336.68

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Repartition Test TimeABCD91827364534.2936.6934.3337.23

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pABCD142842567061.7857.4362.2460.951. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 1000 - Group By Test TimeABCD36912159.9910.8110.4210.15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark TimeABCD153045607563.5468.3865.0063.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Group By Test TimeABCD112233445545.7046.8843.4245.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Inner Join Test TimeABCD51015202519.9619.4620.9520.17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test TimeABCD369121510.0510.7710.1310.01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABCD2468106.086.406.546.11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test TimeABCD4812162013.8714.2613.4613.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark TimeABCD91827364539.2839.1936.5537.41

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test TimeABCD36912159.859.309.539.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark TimeABCD2468107.627.167.697.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark TimeABCD51015202522.5622.1421.8521.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test TimeABCD36912159.248.939.259.56

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABCD2468106.246.146.226.56

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KABCD0.22680.45360.68040.90721.1340.9451.0080.9740.9841. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 500 - Calculate Pi Benchmark Using DataframeABCD2468106.026.426.266.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABCD2468106.036.416.096.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABCD2468106.296.176.075.91

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABCD91827364538.3239.5439.5040.69

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABCD2468106.576.206.216.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Inner Join Test TimeABCD91827364535.6635.8637.6536.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Inner Join Test TimeABCD61218243023.0222.8822.1523.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABCD2468106.186.286.506.37

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Group By Test TimeABCD61218243023.4723.7122.7922.55

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABCD2468106.056.366.266.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABCD91827364537.3636.6336.1235.58

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Group By Test TimeABCD112233445546.7645.4744.6145.73

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABCD2468106.336.046.246.26

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test TimeABCD51015202521.6022.2421.4222.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Repartition Test TimeABCD81624324035.7034.1635.6434.35

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pABCD0.57131.14261.71392.28522.85652.4322.5392.4922.5291. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABCD2468106.195.936.166.18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Inner Join Test TimeABCD91827364538.2236.8536.6837.70

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Inner Join Test TimeABCD91827364537.9237.5436.4236.82

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Inner Join Test TimeABCD51015202521.8821.3221.0621.83

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using DataframeABCD2468106.046.096.116.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test TimeABCD51015202520.1719.4719.4519.77

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using DataframeABCD2468106.076.266.186.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABCD2468106.066.095.906.11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test TimeABCD81624324035.7236.8936.3936.09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using DataframeABCD2468106.106.015.926.08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Repartition Test TimeABCD81624324035.8235.2734.7734.94

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark TimeABCD51015202521.9122.5122.0021.95

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABCD2468106.406.276.316.43

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkABCD2040608010080.4279.8178.6579.09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkABCD2040608010080.7279.7379.4479.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi BenchmarkABCD2040608010080.8680.0679.2779.84

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Calculate Pi BenchmarkABCD2040608010078.6880.0979.5678.79

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi BenchmarkABCD2040608010078.8479.7378.7078.50

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 100 - Calculate Pi BenchmarkABCD2040608010080.3980.8879.7179.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 500 - Calculate Pi BenchmarkABCD2040608010080.6981.2080.4380.07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi BenchmarkABCD2040608010078.8079.5078.4478.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 1000 - Calculate Pi BenchmarkABCD2040608010080.9680.7979.9180.39

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 40000000 - Partitions: 2000 - Calculate Pi BenchmarkABCD2040608010080.6180.4680.0179.77

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi BenchmarkABCD2040608010080.7480.6779.9180.06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using DataframeABCD2468106.036.035.976.02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Calculate Pi BenchmarkABCD2040608010078.3479.1178.5478.64

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkABCD2040608010080.5379.9180.0279.76

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi BenchmarkABCD2040608010079.1679.7379.1979.25

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi BenchmarkABCD2040608010079.6879.4479.2779.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi BenchmarkABCD2040608010078.8878.8478.5678.62

120 Results Shown

Apache Spark:
  1000000 - 100 - Repartition Test Time
  1000000 - 1000 - Repartition Test Time
  1000000 - 2000 - Broadcast Inner Join Test Time
  1000000 - 100 - Broadcast Inner Join Test Time
  1000000 - 500 - Broadcast Inner Join Test Time
  1000000 - 500 - Repartition Test Time
  1000000 - 100 - Inner Join Test Time
  10000000 - 100 - Repartition Test Time
  1000000 - 1000 - Broadcast Inner Join Test Time
  40000000 - 100 - SHA-512 Benchmark Time
  10000000 - 500 - Group By Test Time
  20000000 - 100 - SHA-512 Benchmark Time
  1000000 - 500 - Inner Join Test Time
  1000000 - 1000 - Inner Join Test Time
  10000000 - 2000 - Broadcast Inner Join Test Time
  1000000 - 2000 - Repartition Test Time
  20000000 - 1000 - Group By Test Time
  20000000 - 500 - Repartition Test Time
SVT-AV1
Apache Spark:
  10000000 - 500 - Repartition Test Time
  10000000 - 1000 - Group By Test Time
  10000000 - 100 - Group By Test Time
SVT-AV1
Apache Spark:
  20000000 - 100 - Repartition Test Time
  1000000 - 1000 - SHA-512 Benchmark Time
  10000000 - 2000 - Inner Join Test Time
  10000000 - 2000 - Group By Test Time
  10000000 - 1000 - Broadcast Inner Join Test Time
  10000000 - 500 - Inner Join Test Time
SVT-AV1
Apache Spark:
  20000000 - 1000 - SHA-512 Benchmark Time
  20000000 - 2000 - Repartition Test Time
  40000000 - 2000 - Inner Join Test Time
SVT-AV1
Apache Spark:
  10000000 - 100 - Inner Join Test Time
  20000000 - 100 - Inner Join Test Time
  20000000 - 100 - Broadcast Inner Join Test Time
  10000000 - 100 - SHA-512 Benchmark Time
  40000000 - 1000 - SHA-512 Benchmark Time
  10000000 - 500 - Broadcast Inner Join Test Time
  20000000 - 100 - Group By Test Time
  1000000 - 2000 - Inner Join Test Time
  1000000 - 500 - SHA-512 Benchmark Time
SVT-AV1
Apache Spark:
  10000000 - 1000 - Repartition Test Time
  40000000 - 100 - Repartition Test Time
  40000000 - 100 - Broadcast Inner Join Test Time
  10000000 - 2000 - SHA-512 Benchmark Time
  1000000 - 2000 - SHA-512 Benchmark Time
  40000000 - 500 - SHA-512 Benchmark Time
  20000000 - 500 - Group By Test Time
  20000000 - 1000 - Repartition Test Time
  20000000 - 500 - Broadcast Inner Join Test Time
  40000000 - 1000 - Group By Test Time
  10000000 - 100 - Broadcast Inner Join Test Time
  40000000 - 100 - Group By Test Time
  10000000 - 1000 - Inner Join Test Time
  20000000 - 500 - SHA-512 Benchmark Time
  40000000 - 2000 - Repartition Test Time
SVT-AV1
Apache Spark:
  1000000 - 1000 - Group By Test Time
  40000000 - 2000 - SHA-512 Benchmark Time
  40000000 - 2000 - Group By Test Time
  20000000 - 500 - Inner Join Test Time
  1000000 - 2000 - Group By Test Time
  1000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  10000000 - 2000 - Repartition Test Time
  20000000 - 2000 - SHA-512 Benchmark Time
  1000000 - 500 - Group By Test Time
  1000000 - 100 - SHA-512 Benchmark Time
  10000000 - 1000 - SHA-512 Benchmark Time
  1000000 - 100 - Group By Test Time
  10000000 - 500 - Calculate Pi Benchmark Using Dataframe
SVT-AV1
Apache Spark:
  1000000 - 500 - Calculate Pi Benchmark Using Dataframe
  40000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 500 - Calculate Pi Benchmark Using Dataframe
  40000000 - 2000 - Broadcast Inner Join Test Time
  1000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 500 - Inner Join Test Time
  20000000 - 2000 - Inner Join Test Time
  10000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - Group By Test Time
  1000000 - 100 - Calculate Pi Benchmark Using Dataframe
  40000000 - 1000 - Broadcast Inner Join Test Time
  40000000 - 500 - Group By Test Time
  40000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - Broadcast Inner Join Test Time
  40000000 - 500 - Repartition Test Time
SVT-AV1
Apache Spark:
  10000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 100 - Inner Join Test Time
  40000000 - 1000 - Inner Join Test Time
  20000000 - 1000 - Inner Join Test Time
  20000000 - 1000 - Calculate Pi Benchmark Using Dataframe
  20000000 - 1000 - Broadcast Inner Join Test Time
  40000000 - 500 - Calculate Pi Benchmark Using Dataframe
  40000000 - 100 - Calculate Pi Benchmark Using Dataframe
  40000000 - 500 - Broadcast Inner Join Test Time
  20000000 - 2000 - Calculate Pi Benchmark Using Dataframe
  40000000 - 1000 - Repartition Test Time
  10000000 - 500 - SHA-512 Benchmark Time
  10000000 - 100 - Calculate Pi Benchmark Using Dataframe
  20000000 - 2000 - Calculate Pi Benchmark
  20000000 - 1000 - Calculate Pi Benchmark
  10000000 - 1000 - Calculate Pi Benchmark
  1000000 - 100 - Calculate Pi Benchmark
  1000000 - 2000 - Calculate Pi Benchmark
  40000000 - 100 - Calculate Pi Benchmark
  40000000 - 500 - Calculate Pi Benchmark
  10000000 - 100 - Calculate Pi Benchmark
  40000000 - 1000 - Calculate Pi Benchmark
  40000000 - 2000 - Calculate Pi Benchmark
  10000000 - 2000 - Calculate Pi Benchmark
  20000000 - 100 - Calculate Pi Benchmark Using Dataframe
  1000000 - 500 - Calculate Pi Benchmark
  20000000 - 500 - Calculate Pi Benchmark
  20000000 - 100 - Calculate Pi Benchmark
  10000000 - 500 - Calculate Pi Benchmark
  1000000 - 1000 - Calculate Pi Benchmark