用大量数据填充MS SQL数据库的最快方法是什么

Question

Dilemma:

I am about to perform population of data on MS SQL Server (2012 Dev Edition). Data is based on production data. Amount is around 4TB (around 250 million items).

Purpose:

To test performance on full text search and on regular index as well. Target number should be around 300 million items around 500K each.

Question:

What should I do before to speed up the process or consequences that I should worry about?

Ex.

1. Switching off statistics?
2. Should I do a bulk insert of 1k items per transaction instead of single transaction?
3. Simple recovery model?
4. Log truncation?

Important:

I will use sample of 2k of production items to create every random item that will be inserted into database. I will use near unique samples generated in c#. It will be one table:

table 
(
    long[id], 
    nvarchar(50)[index], 
    nvarchar(50)[index], 
    int[index], 
    float, 
    nvarchar(50)[index], 
    text[full text search index]
)

Answer 1

Almost invariably, in a situation like this, and I've had several of them, I've used SSIS. SSIS is the fastest way I know to import large amounts of data into a SQL Server database. You have complete control over batch (transaction size) and it will perform bulk inserting. In addition, if you have transformation requirements, SSIS will handle this with ease.