https://www.instaclustr.com/deep-diving-cassandra-stress-part-3-using-yaml-profiles/ In this particular blog, they mentioned your case.
Changed uniform() distribution to seq() distribution https://issues.apache.org/jira/browse/CASSANDRA-12490 Thanks!! On Thu, Nov 2, 2017 at 12:54 AM, Varun Barala <varunbaral...@gmail.com> wrote: > Hi, > > https://www.instaclustr.com/deep-diving-into-cassandra-stress-part-1/ > > In the blog, They covered many things in detail. > > Thanks!! > > On Thu, Nov 2, 2017 at 12:38 AM, Lucas Benevides < > lu...@maurobenevides.com.br> wrote: > >> Dear community, >> >> I am using Cassandra Stress Tool and trying to simulate IoT generated >> data. >> So I created a column family with the device_id as the partition key. >> >> But in every different operation (the parameter received in the -n >> option) the generated values are the same. For instance, I have a column >> called observation_time which is supposed to be the time measured by the >> sensor. But in every partition the values are equal. >> >> Is there a way to make those values be randomically generated with >> different seeds? I need this way so that if the same device_id occurs >> again, it makes an INSERT instead of an UPSERT. >> >> To clarify: What is happening now (fictional data): >> >> operation 1 >> device 1 >> ts1: 01/01/1970 >> ts2: 02/01/1980 >> ts3: 03/01/1990 >> >> operation 2 >> device 2 >> ts1: 01/01/1970 >> ts2: 02/01/1980 >> ts3: 03/01/1990 >> >> What I want: >> operation1 >> device 1 >> ts1: 01/01/1970 >> ts2: 02/01/1980 >> ts3: 03/01/1990 >> >> operation2 >> device 2 >> ts1: 02/01/1971 #Different values here. >> ts2: 05/01/1982 >> ts3: 08/01/1993 >> >> Thanks in advance, >> Lucas Benevides >> >> >
