Importing Gigabytes of Data from a Flat File

Importing Gigabytes of Data from a Flat File

I’m currently working on a data warehousing application using SQL Server 7. The problem I have is that I have to import 610,000 records of mainframe data per day into my database from a flat file.

I’m currently using BCP to copy the data into an initial import table, but then I have to perform a number of conversions on datetime, money, and some business-specific fields before writing the data into five main DB tables.

So far I’m using a cursor that is populated with the contents of the import table and then calls a number of stored procedures to format and convert the data before finally writing it to its respective tables. The server is a powerful machine (250GB HDD, 1GB RAM) so I thought it could handle the workload, but 100,000 records and 5 hours later I’m beginning to wonder.

If you have any great tips, tricks, or advice, that would be great as I have three years’ worth of data?around 180GB to process my way through. Help!

To be honest, everything I anticipated you already mentioned, but here’s a few grasping at straws…

BCP is fast, but I hear that the Bulk Transfer in DTS is no slouch either, so maybe that bears investigating as an alternative to straight BCP. I know it sounds like more overhead, but it may be worth a shot.

Is there any possibility of reconceptualizing the solution without using a cursor? If the data is already being scrubbed in an intermediate staging area, finding a single SQL statement to move the data will yield so much performance improvement as to be a really compelling reason to look for it. Cursors, though convenient, are never the choice for speed.

That’s all I can suggest. Look at the bulk stuff in DTS?or, since you seem to be doing these transformations, perhaps a data-driven query would afford you some time savings in the entire process, though the loading part may be as slow.

Share the Post:
XDR solutions

The Benefits of Using XDR Solutions

Cybercriminals constantly adapt their strategies, developing newer, more powerful, and intelligent ways to attack your network. Since security professionals must innovate as well, more conventional endpoint detection solutions have evolved

AI is revolutionizing fraud detection

How AI is Revolutionizing Fraud Detection

Artificial intelligence – commonly known as AI – means a form of technology with multiple uses. As a result, it has become extremely valuable to a number of businesses across

AI innovation

Companies Leading AI Innovation in 2023

Artificial intelligence (AI) has been transforming industries and revolutionizing business operations. AI’s potential to enhance efficiency and productivity has become crucial to many businesses. As we move into 2023, several

data fivetran pricing

Fivetran Pricing Explained

One of the biggest trends of the 21st century is the massive surge in analytics. Analytics is the process of utilizing data to drive future decision-making. With so much of

kubernetes logging

Kubernetes Logging: What You Need to Know

Kubernetes from Google is one of the most popular open-source and free container management solutions made to make managing and deploying applications easier. It has a solid architecture that makes

ransomware cyber attack

Why Is Ransomware Such a Major Threat?

One of the most significant cyber threats faced by modern organizations is a ransomware attack. Ransomware attacks have grown in both sophistication and frequency over the past few years, forcing

data dictionary

Tools You Need to Make a Data Dictionary

Data dictionaries are crucial for organizations of all sizes that deal with large amounts of data. they are centralized repositories of all the data in organizations, including metadata such as