t;>
>> Last but not the least, if you are doing a query of the form..
>> select X,Y,Z where time between and
>> you will benefit immensely from the data being sorted with that time field.
>>
>> Hope that helps.
>>
>> ~ Kunal
>>
>> -Origi
me between and
> you will benefit immensely from the data being sorted with that time
field.
>
> Hope that helps.
>
> ~ Kunal
>
> -Original Message-
> From: Ted Dunning [mailto:ted.dunn...@gmail.com]
> Sent: Monday, October
o:ted.dunn...@gmail.com]
> Sent: Monday, October 30, 2017 9:34 AM
> To: user <user@drill.apache.org>
> Subject: Re: Drill performance question
>
> Also, on a practical note, Parquet will likely crush CSV on performance.
> Columnar. Compressed. Binary. All that.
>
>
ct: Re: Drill performance question
Also, on a practical note, Parquet will likely crush CSV on performance.
Columnar. Compressed. Binary. All that.
On Mon, Oct 30, 2017 at 9:30 AM, Saurabh Mahapatra <
saurabhmahapatr...@gmail.com> wrote:
> Hi Charles,
>
> Can you share some query
The data itself contains 6 or so columns: date, user_id, city, state, lat,
long. I’m looking to aggregate by week, by day of week etc. So the general
pattern would look something like:
SELECT EXTRACT( day FROM `date` ) AS _`day`,
COUNT( DISTINCT id ) as distinct_id,
COUNT( id ) as
Also, on a practical note, Parquet will likely crush CSV on performance.
Columnar. Compressed. Binary. All that.
On Mon, Oct 30, 2017 at 9:30 AM, Saurabh Mahapatra <
saurabhmahapatr...@gmail.com> wrote:
> Hi Charles,
>
> Can you share some query patterns on this data? More specifically, the
>
Hi Charles,
Can you share some query patterns on this data? More specifically, the
number of columns you retrieving out of the total, the filter on the time
dimension itself (ranges and granularities)
How much is ad hoc and how much is not.
Best,
Saurabh
On Mon, Oct 30, 2017 at 9:27 AM,
