Timestamps in Snowflake have precisions 0 to 9 with a default of 9, which is a nanosecond, but the Snowflake documentation is not clear on precisions 0 to 8.
Storage difference
I did an empircal test by creating tables. Each table had one million rows and one column with random timestamps. The values have an original precison of one nanosecond, and I used random values because otherwise Snowflake would compress down any number of rows with the same values to a few KB.
create or replace table zzz_timestamp9 as select dateadd(nanosecond, uniform(1,3e17, random()), current_timestamp())::timestamp(9) as time1 from TABLE(GENERATOR(ROWCOUNT => 1e6)) ; create or replace table zzz_timestamp0 as select dateadd(nanosecond, uniform(1,3e17, random()), current_timestamp())::timestamp(0) as time1 from TABLE(GENERATOR(ROWCOUNT => 1e6)) ;
The storage difference for 1 million rows was 3.5MB vs 7.0MB.
Precision difference
Again, I generated random rows and then copied the value into columns with varied precisions.
select dateadd(nanosecond, uniform(1,3e17, random()), current_timestamp())::timestamp(9) as "precision 9", "precision 9"::timestamp(3) as "precision 3", "precision 9"::timestamp(2) as "precision 2", "precision 9"::timestamp(1) as "precision 1", "precision 9"::timestamp(0) as "precision 0", datediff(ms, "precision 3", "precision 9") as "Precisions 9 vs 3 in milliseconds", /* alwayz zero */ datediff(second, "precision 0", "precision 9") as "Precisions 9 vs 0 in seconds" /* alwayz zero */ from TABLE(GENERATOR(ROWCOUNT => 10))
Precision 0 is 1 second, precision 1 is 100 ms, precision 2 is 10 ms, precision 3 is 1 ms, etc.