ly923976094 removed a comment on issue #3626: timezone problem
URL: 
https://github.com/apache/incubator-pinot/issues/3626#issuecomment-450606079
 
 
   > Yes, you are right the UDF converts each row rather than the result. It is 
required to ensure the right grouping happens after applying the UDF. However, 
in your case it is not necessary as one day already has one single millis value 
(which is a special case). We will explore on making this faster for your case 
(eg by caching the conversion). But in the meanwhile, is it possible for you to 
apply the conversion at the client side? Also, if you can share, are you 
already using Pinot in production, or evaluating may the moment? Get Outlook 
for iOS<https://aka.ms/o0ukef>
   > […](#)
   > ________________________________ From: Sun-Li <[email protected]> 
Sent: Sunday, December 30, 2018 6:37 PM To: apache/incubator-pinot Cc: Mayank 
Shrivastava; Comment Subject: Re: [apache/incubator-pinot] timezone problem 
(#3626) Thanks for sharing the information. From the second result it seems the 
query selects 1.2B records, which means too much computation needs to happen. 
Do you really need to store the data in milliseconds granularity? If not, 
preaggregating offline data after with larger granularity will reduce data 
size, and hence the the num records to process. May I ask which 
company/organization is this use case for? I work in sina weibo (Beijing), and 
my main work is the big data r&d engineer. The data of this table has been 
pre-aggregated for days outside, and the time stamp of day milliseconds is 
stored in pinot. In fact, if the time is not converted using 
SIMPLE_DATE_FORMAT, the query time is very fast (that is, the time zone cannot 
be specified, resulting in the mismatch between time and real 
time),SIMPLE_DATE_FORMAT converts each piece of data rather than the query 
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