No, this is very time consuming!
I need to write the best code, to get the top speed, tunning
configuration files, chose the best driver, etc.
I'm thinking in Hadhoop and Postgresql. In most of the projects we need
an ACID and a NoSQL.
Because Storm is so fast i can't send the data in the last Bolt over
Internet. I'm choosing a "queue" to stop the latency in Storm.
On 11-05-2016 23:08, steve tueno wrote:
Thanks.
Hve you try your benchmark with Hbase?
Cordialement,
TUENO FOTSO STEVE JEFFREY
Élève Ingénieur
5GI ENSP
+237 676 57 17 28
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2016-05-11 22:46 GMT+01:00 cogumelosmaravilha
<[email protected] <mailto:[email protected]>>:
Hi all,
I made some database benchmarks that i want to share. Source code
and drivers are in Python. Kernel 4.4.10-low-latency. Hardware
Core-i7 3.6 32GB Ram.
mock data, record;
571fa68da32119f501015f5f 947a20A0A9c5d28550110E05
e71bB0597363389420459F41 2016-05-11 11:48:55.948 57 118 01
Network/Wifi:
Records : 100.001
### Mysql Save ###
2016-05-11 16:55:56.342
2016-05-11 17:00:34.401 # 2nd place
time: 278.059647
### Kafka Save ###
2016-05-11 14:25:13.800
2016-05-11 14:26:22.036 # 1st place
time: 68.23572
### Mongo Insert Save ###
2016-05-11 14:26:22.036
2016-05-11 14:36:07.753 # 4
time: 585.71745
### Mongo Upsert Save ###
2016-05-11 14:36:07.754
2016-05-11 14:46:16.527 # 5
time: 608.77346
### Cassandra Save ###
2016-05-11 14:46:16.527
2016-05-11 14:55:18.675 #3rd place
time: 542.148405
Local:
Records : 100001
### Mysql Save ###
2016-05-11 17:07:00.712
2016-05-11 17:07:16.970 # 1st place
time: 16.259082
### Kafka Save ###
2016-05-11 17:12:03.966
2016-05-11 17:12:59.638 # 5
time: 55.672385
### Mongo Insert Save ###
2016-05-11 17:12:59.638
2016-05-11 17:13:33.667 # 2nd place
time: 34.028495
### Mongo Upsert Save ###
2016-05-11 17:13:33.667
2016-05-11 17:14:20.513 # 4
time: 46.846054
### Cassandra Save ###
2016-05-11 17:14:20.513
2016-05-11 17:15:03.807 # 3rd place
time: 43.293934
