spark-instrumented-optimizer/core/benchmarks/CoalescedRDDBenchmark-results.txt
Dongjoon Hyun 989b0c773f [SPARK-29297][TESTS] Compare core/mllib module benchmarks in JDK8/11
### What changes were proposed in this pull request?

This PR regenerate the benchmark results in `core` and `mllib` module in order to compare JDK8/JDK11 result.

### Why are the changes needed?

According to the result, For `PropertiesCloneBenchmark` and `UDTSerializationBenchmark`, JDK11 is slightly faster. In general, there is no regression in JDK11.

### Does this PR introduce any user-facing change?

No.

### How was this patch tested?

This is a test-only PR. Manually run the benchmark.

Closes #25969 from dongjoon-hyun/SPARK-29297.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-09-29 21:43:58 -07:00

41 lines
4.2 KiB
Plaintext

================================================================================================
Coalesced RDD , large scale
================================================================================================
OpenJDK 64-Bit Server VM 1.8.0_222-b10 on Linux 3.10.0-862.3.2.el7.x86_64
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
Coalesced RDD: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Coalesce Num Partitions: 100 Num Hosts: 1 395 401 9 0.3 3952.3 1.0X
Coalesce Num Partitions: 100 Num Hosts: 5 296 344 42 0.3 2963.2 1.3X
Coalesce Num Partitions: 100 Num Hosts: 10 294 308 15 0.3 2941.7 1.3X
Coalesce Num Partitions: 100 Num Hosts: 20 316 328 13 0.3 3155.2 1.3X
Coalesce Num Partitions: 100 Num Hosts: 40 294 316 36 0.3 2940.3 1.3X
Coalesce Num Partitions: 100 Num Hosts: 80 292 324 30 0.3 2922.2 1.4X
Coalesce Num Partitions: 500 Num Hosts: 1 629 687 61 0.2 6292.4 0.6X
Coalesce Num Partitions: 500 Num Hosts: 5 354 378 42 0.3 3541.7 1.1X
Coalesce Num Partitions: 500 Num Hosts: 10 318 338 29 0.3 3179.8 1.2X
Coalesce Num Partitions: 500 Num Hosts: 20 306 317 11 0.3 3059.2 1.3X
Coalesce Num Partitions: 500 Num Hosts: 40 294 311 28 0.3 2941.6 1.3X
Coalesce Num Partitions: 500 Num Hosts: 80 288 309 34 0.3 2883.9 1.4X
Coalesce Num Partitions: 1000 Num Hosts: 1 956 978 20 0.1 9562.2 0.4X
Coalesce Num Partitions: 1000 Num Hosts: 5 431 452 36 0.2 4306.2 0.9X
Coalesce Num Partitions: 1000 Num Hosts: 10 358 379 23 0.3 3581.1 1.1X
Coalesce Num Partitions: 1000 Num Hosts: 20 324 347 20 0.3 3236.7 1.2X
Coalesce Num Partitions: 1000 Num Hosts: 40 312 333 20 0.3 3116.8 1.3X
Coalesce Num Partitions: 1000 Num Hosts: 80 307 342 32 0.3 3068.4 1.3X
Coalesce Num Partitions: 5000 Num Hosts: 1 3895 3906 12 0.0 38946.8 0.1X
Coalesce Num Partitions: 5000 Num Hosts: 5 1388 1401 19 0.1 13881.7 0.3X
Coalesce Num Partitions: 5000 Num Hosts: 10 806 839 57 0.1 8063.7 0.5X
Coalesce Num Partitions: 5000 Num Hosts: 20 546 573 44 0.2 5462.6 0.7X
Coalesce Num Partitions: 5000 Num Hosts: 40 413 418 5 0.2 4134.7 1.0X
Coalesce Num Partitions: 5000 Num Hosts: 80 345 365 23 0.3 3448.1 1.1X
Coalesce Num Partitions: 10000 Num Hosts: 1 6933 6966 55 0.0 69328.8 0.1X
Coalesce Num Partitions: 10000 Num Hosts: 5 2455 2499 69 0.0 24551.7 0.2X
Coalesce Num Partitions: 10000 Num Hosts: 10 1352 1392 34 0.1 13520.2 0.3X
Coalesce Num Partitions: 10000 Num Hosts: 20 815 853 50 0.1 8147.5 0.5X
Coalesce Num Partitions: 10000 Num Hosts: 40 558 581 28 0.2 5578.0 0.7X
Coalesce Num Partitions: 10000 Num Hosts: 80 416 423 5 0.2 4163.3 0.9X