I did it with node.js but it is changing after some interval.

<code>
setInterval(function(){
  var d =new Date().getTime();
  console.log("====================== ");
  console.log("unix         =>  ",d);
  i=parseInt(d)
  console.log("Divid i/86400=>  ",i/86400);
  console.log("Modulo i%86400=> ",i%86400);
  console.log("====================== ");
},2000);

</code>
Am I doing wrong?

On Mon, Apr 30, 2012 at 9:54 PM, Tyler Hobbs <ty...@datastax.com> wrote:

> Correct, that's exactly what I'm saying.
>
>
> On Mon, Apr 30, 2012 at 10:37 AM, samal <samalgo...@gmail.com> wrote:
>
>> thanks tyler for reply.
>>
>> are you saying  user1uuid_*{ts%86400}* would lead to unique day bucket
>> which will be timezone {NZ to US} independent? I will try.
>>
>>
>> On Mon, Apr 30, 2012 at 8:25 PM, Tyler Hobbs <ty...@datastax.com> wrote:
>>
>>> Don't use dates or datestamps as the buckets for your row keys, use a
>>> unix timestamp modulo whatever size you want your bucket to be instead.
>>> Timestamps don't involve time zones or any of that nonsense.
>>>
>>> So, instead of having keys like "user1uuid_30042012", the second half
>>> would be replaced the current unix timestamp mod 86400 (the number of
>>> seconds in a day).
>>>
>>>
>>> On Mon, Apr 30, 2012 at 1:46 AM, samal <samalgo...@gmail.com> wrote:
>>>
>>>> Hello List,
>>>>
>>>> I need suggestion/ recommendation on time series data.
>>>>
>>>> I have requirement where users belongs to different timezone and they
>>>> can subscribe to global group.
>>>> When users at specific timezone send update to group it is available to
>>>> every user in different timezone.
>>>>
>>>> I am using GroupSubscribedUsers CF where all update to group are push
>>>> to "Each User" time line, and key is timelined by useruuid_date(one day
>>>> update of all groups) and columns are group updates.
>>>>
>>>> GroupSubscribedUsers ={
>>>>     user1uuid_30042012:{//this user belongs to same timezone
>>>>          timeuuid1:JSON[group1update1]
>>>>          timeuuid2:JSON[group2update2]
>>>>          timeuuid3:JSON[group1update2]
>>>>         timeuuid4:JSON[group4update1]
>>>>    },
>>>>   user2uuid_30042012:{//this user belongs to different timezone where
>>>> date has changed already  to 1may but  30 april is getting update
>>>>          timeuuid1:JSON[group1update1]
>>>>          timeuuid2:JSON[group2update2]
>>>>          timeuuid3:JSON[group1update2]
>>>>         timeuuid4:JSON[group4update1]
>>>>         timeuuid5:JSON[groupNupdate1]
>>>>    },
>>>>
>>>> }
>>>>
>>>> I have noticed  this approach is good for single time zone when
>>>> different timezone come into picture it breaks.
>>>>
>>>> I am thinking of like when user pushed update to group ->get user who
>>>> is subscribed to group->check user timezone->push time series in user time
>>>> zone. So for one user update will be on 30april where as other may have on
>>>> 29april and 1may, using timestamps i can find out hours ago update came.
>>>>
>>>> Is there any better approach?
>>>>
>>>>
>>>> Thanks,
>>>>
>>>> >>>Samal
>>>>
>>>>
>>>>
>>>
>>>
>>> --
>>> Tyler Hobbs
>>> DataStax <http://datastax.com/>
>>>
>>>
>>
>
>
> --
> Tyler Hobbs
> DataStax <http://datastax.com/>
>
>

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