Deepgreen数据库基于开源MPP数据库Greenplum而来,那么他的优越性几何?今天给大家分享数据仓库测试TPC-H的结果让大家加以比较:
本次对比需要注意的几点:
- 测试参照德哥2015年发的【Greenplum的TPC-H】测试,只做了压缩类型的简单修改
- 由于测试机器性能问题,可能无法最大化展示二者性能(greenplum部分测试timeout)
一、测试环境:
服务器 IP 节点 Master 192.168.100.107 1 Master Segment1 192.168.100.108 2 instance Segment2 192.168.100.109 2 instance 软件版本: Greenplum 4.3.12 Deepgreen 16.16
AI 代码解读
二、TPC-H测试结果
Greenplum:
2017-05-19 13:59:16 [1495173556] : preparing TPC-H database 2017-05-19 13:59:16 [1495173556] : loading data 2017-05-19 13:59:39 [1495173579] : creating primary keys 2017-05-19 13:59:39 [1495173579] : creating foreign keys 2017-05-19 13:59:39 [1495173579] : creating indexes 2017-05-19 13:59:57 [1495173597] : analyzing 2017-05-19 14:00:10 [1495173610] : running TPC-H benchmark 2017-05-19 14:00:10 [1495173610] : running queries defined in TPC-H benchmark 2017-05-19 14:00:10 [1495173610] : running query 1 2017-05-19 14:00:21 [1495173621] : query 1 finished OK (6 seconds) 2017-05-19 14:00:21 [1495173621] : running query 2 2017-05-19 14:08:37 [1495174117] : query 2 finished OK (250 seconds) 2017-05-19 14:08:37 [1495174117] : running query 3 2017-05-19 14:53:15 [1495176795] : query 3 finished OK (1363 seconds) 2017-05-19 14:53:15 [1495176795] : running query 4 2017-05-19 14:53:17 [1495176797] : query 4 finished OK (1 seconds) 2017-05-19 14:53:17 [1495176797] : running query 5 2017-05-19 14:53:18 [1495176798] : query 5 finished OK (1 seconds) 2017-05-19 14:53:18 [1495176798] : running query 6 2017-05-19 14:53:19 [1495176799] : query 6 finished OK (1 seconds) 2017-05-19 14:53:19 [1495176799] : running query 7 2017-05-19 15:28:32 [1495178912] : query 7 finished OK (1057 seconds) 2017-05-19 15:28:32 [1495178912] : running query 8 2017-05-19 15:54:09 [1495180449] : query 8 finished OK (777 seconds) 2017-05-19 15:54:09 [1495180449] : running query 9 2017-05-19 21:52:26 [1495201946] : killing query 9 (timeout) 2017-05-19 21:52:36 [1495201956] : running query 10 2017-05-19 21:52:37 [1495201957] : query 10 finished OK (1 seconds) 2017-05-19 21:52:37 [1495201957] : running query 11 2017-05-19 21:55:26 [1495202126] : query 11 finished OK (85 seconds) 2017-05-19 21:55:26 [1495202126] : running query 12 2017-05-19 21:55:27 [1495202127] : query 12 finished OK (1 seconds) 2017-05-19 21:55:27 [1495202127] : running query 13 2017-05-20 00:45:29 [1495212329] : killing query 13 (timeout) 2017-05-20 00:45:39 [1495212339] : running query 14 2017-05-20 00:45:40 [1495212340] : query 14 finished OK (1 seconds) 2017-05-20 00:45:40 [1495212340] : running query 15 2017-05-20 00:45:42 [1495212342] : query 15 finished OK (1 seconds) 2017-05-20 00:45:42 [1495212342] : running query 16 2017-05-20 00:48:30 [1495212510] : query 16 finished OK (84 seconds) 2017-05-20 00:48:30 [1495212510] : running query 17 2017-05-20 00:48:46 [1495212526] : query 17 finished OK (8 seconds) 2017-05-20 00:48:46 [1495212526] : running query 18 2017-05-20 02:06:47 [1495217207] : killing query 18 (timeout) 2017-05-20 02:06:58 [1495217218] : running query 19 2017-05-20 07:11:50 [1495235510] : killing query 19 (timeout) 2017-05-20 07:12:00 [1495235520] : running query 20 2017-05-20 07:12:02 [1495235522] : query 20 finished OK (1 seconds) 2017-05-20 07:12:02 [1495235522] : running query 21 2017-05-20 09:57:36 [1495245456] : killing query 21 (timeout) 2017-05-20 09:57:46 [1495245466] : running query 22 2017-05-20 10:12:01 [1495246321] : query 22 finished OK (428 seconds) 2017-05-20 10:12:01 [1495246321] : finished TPC-H benchmark
AI 代码解读
Deepgreen:
[dgadmin@linux1 results]$ cat bench.log 2017-05-19 11:44:56 [1495165496] : preparing TPC-H database 2017-05-19 11:44:56 [1495165496] : loading data 2017-05-19 11:45:14 [1495165514] : creating primary keys 2017-05-19 11:45:14 [1495165514] : creating foreign keys 2017-05-19 11:45:14 [1495165514] : creating indexes 2017-05-19 11:45:29 [1495165529] : analyzing 2017-05-19 11:45:32 [1495165532] : running TPC-H benchmark 2017-05-19 11:45:32 [1495165532] : running queries defined in TPC-H benchmark 2017-05-19 11:45:32 [1495165532] : running query 1 2017-05-19 11:45:40 [1495165540] : query 1 finished OK (4 seconds) 2017-05-19 11:45:40 [1495165540] : running query 2 2017-05-19 11:52:23 [1495165943] : query 2 finished OK (199 seconds) 2017-05-19 11:52:23 [1495165943] : running query 3 2017-05-19 11:52:27 [1495165947] : query 3 finished OK (3 seconds) 2017-05-19 11:52:27 [1495165947] : running query 4 2017-05-19 11:52:28 [1495165948] : query 4 finished OK (1 seconds) 2017-05-19 11:52:28 [1495165948] : running query 5 2017-05-19 11:52:29 [1495165949] : query 5 finished OK (1 seconds) 2017-05-19 11:52:29 [1495165949] : running query 6 2017-05-19 11:52:30 [1495165950] : query 6 finished OK (1 seconds) 2017-05-19 11:52:30 [1495165950] : running query 7 2017-05-19 11:52:34 [1495165954] : query 7 finished OK (3 seconds) 2017-05-19 11:52:34 [1495165954] : running query 8 2017-05-19 11:52:36 [1495165956] : query 8 finished OK (1 seconds) 2017-05-19 11:52:36 [1495165956] : running query 9 2017-05-19 12:26:01 [1495167961] : query 9 finished OK (1002 seconds) 2017-05-19 12:26:01 [1495167961] : running query 10 2017-05-19 12:26:02 [1495167962] : query 10 finished OK (1 seconds) 2017-05-19 12:26:02 [1495167962] : running query 11 2017-05-19 12:26:05 [1495167965] : query 11 finished OK (3 seconds) 2017-05-19 12:26:05 [1495167965] : running query 12 2017-05-19 12:26:07 [1495167967] : query 12 finished OK (1 seconds) 2017-05-19 12:26:07 [1495167967] : running query 13 2017-05-19 12:45:19 [1495169119] : query 13 finished OK (588 seconds) 2017-05-19 12:45:19 [1495169119] : running query 14 2017-05-19 12:45:20 [1495169120] : query 14 finished OK (1 seconds) 2017-05-19 12:45:20 [1495169120] : running query 15 2017-05-19 12:45:21 [1495169121] : query 15 finished OK (1 seconds) 2017-05-19 12:45:21 [1495169121] : running query 16 2017-05-19 12:45:25 [1495169125] : query 16 finished OK (3 seconds) 2017-05-19 12:45:25 [1495169125] : running query 17 2017-05-19 12:45:30 [1495169130] : query 17 finished OK (3 seconds) 2017-05-19 12:45:30 [1495169130] : running query 18 2017-05-19 12:45:32 [1495169132] : query 18 finished OK (1 seconds) 2017-05-19 12:45:32 [1495169132] : running query 19 2017-05-19 12:45:34 [1495169134] : query 19 finished OK (1 seconds) 2017-05-19 12:45:34 [1495169134] : running query 20 2017-05-19 12:45:35 [1495169135] : query 20 finished OK (1 seconds) 2017-05-19 12:45:35 [1495169135] : running query 21 2017-05-19 12:45:36 [1495169136] : query 21 finished OK (1 seconds) 2017-05-19 12:45:36 [1495169136] : running query 22 2017-05-19 12:57:30 [1495169850] : query 22 finished OK (357 seconds) 2017-05-19 12:57:30 [1495169850] : finished TPC-H benchmark
AI 代码解读
三、结果对比
总的来说,Deepgreen在整个测试中整体优于Greenplum。在22轮测试中,有8轮持平,其余14轮Deepgreen均优于Greenplum。其中Q3、Q7、Q8、Q11、Q16查询比Greenplum快指数倍;Greenplum的Q9、Q13、Q18、Q19、Q21 timeout,而Deepgreen没有;Q4、Q5、Q6、Q10、Q12、Q14、Q15、Q20二者持平。

