Snowflake for SQL Server Users - Part 12 - Parallelism when loading data from files into tables
When you are loading data into Snowflake, it’s really important to achieve the maximum parallelism that you can. You want as many files loading in parallel as you have. I mentioned in earlier posts that the number of servers that you have, and the size of each of those servers, will determine the number of processor threads that are available to you from your virtual warehouses.
It would be pointless to have 32 processor threads waiting to load your data, and you provide Snowflake with one large file to load.
2019-10-25

