this will work.I have tried both gave one day unique bucket. I just realized, If I sync all clients to one zone then date will remain same for all.
One Zone date will give materialize view to row. On Mon, Apr 30, 2012 at 11:43 PM, samal <samalgo...@gmail.com> wrote: > hhmm. I will try both. thanks > > > On Mon, Apr 30, 2012 at 11:29 PM, Tyler Hobbs <ty...@datastax.com> wrote: > >> Err, sorry, I should have said ts - (ts % 86400). Integer division does >> something similar. >> >> >> On Mon, Apr 30, 2012 at 12:39 PM, samal <samalgo...@gmail.com> wrote: >> >>> thanks I didn't noticed. >>> run script for 5 minutes => divide seems to produce result ,modulo is >>> still changing. If divide is ok will do the trick. >>> I will run this script on Singapore, East coast server, and New delhi >>> server whole night today. >>> >>> ====================== >>> unix => 1335806983422 >>> unix /1000 => 1335806983.422 >>> Divid i/86400 => 15460.728969907408 >>> Divid i/86400 INT => 15460 >>> Modulo i%86400 => 62983 >>> ====================== >>> ====================== >>> unix => 1335806985421 >>> unix /1000 => 1335806985.421 >>> Divid i/86400 => 15460.728993055556 >>> Divid i/86400 INT => 15460 >>> Modulo i%86400 => 62985 >>> ====================== >>> ====================== >>> unix => 1335806987422 >>> unix /1000 => 1335806987.422 >>> Divid i/86400 => 15460.729016203704 >>> Divid i/86400 INT => 15460 >>> Modulo i%86400 => 62987 >>> ====================== >>> ====================== >>> unix => 1335806989422 >>> unix /1000 => 1335806989.422 >>> Divid i/86400 => 15460.729039351852 >>> Divid i/86400 INT => 15460 >>> Modulo i%86400 => 62989 >>> ====================== >>> ====================== >>> unix => 1335806991421 >>> unix /1000 => 1335806991.421 >>> Divid i/86400 => 15460.7290625 >>> Divid i/86400 INT => 15460 >>> Modulo i%86400 => 62991 >>> ====================== >>> ====================== >>> unix => 1335806993422 >>> unix /1000 => 1335806993.422 >>> Divid i/86400 => 15460.729085648149 >>> Divid i/86400 INT => 15460 >>> Modulo i%86400 => 62993 >>> ====================== >>> ====================== >>> unix => 1335806995422 >>> unix /1000 => 1335806995.422 >>> Divid i/86400 => 15460.729108796297 >>> Divid i/86400 INT => 15460 >>> Modulo i%86400 => 62995 >>> ====================== >>> ====================== >>> unix => 1335806997421 >>> unix /1000 => 1335806997.421 >>> Divid i/86400 => 15460.729131944445 >>> Divid i/86400 INT => 15460 >>> Modulo i%86400 => 62997 >>> ====================== >>> ====================== >>> unix => 1335806999422 >>> unix /1000 => 1335806999.422 >>> Divid i/86400 => 15460.729155092593 >>> Divid i/86400 INT => 15460 >>> Modulo i%86400 => 62999 >>> ====================== >>> >>> >>> On Mon, Apr 30, 2012 at 10:44 PM, Tyler Hobbs <ty...@datastax.com>wrote: >>> >>>> getTime() returns the number of milliseconds since the epoch, not the >>>> number of seconds: http://www.w3schools.com/jsref/jsref_gettime.asp >>>> >>>> If you divide that number by 1000, it should work. >>>> >>>> >>>> On Mon, Apr 30, 2012 at 11:28 AM, samal <samalgo...@gmail.com> wrote: >>>> >>>>> 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 timezonewhere >>>>>>>>> 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/> >>>>>> >>>>>> >>>>> >>>> >>>> >>>> -- >>>> Tyler Hobbs >>>> DataStax <http://datastax.com/> >>>> >>>> >>> >> >> >> -- >> Tyler Hobbs >> DataStax <http://datastax.com/> >> >> >
