DB2 Columnar Tables in BLU Acceleration

By Tom Nonmacher

As data continues to grow exponentially, data management technologies are evolving to meet the increasing need for speedy access and efficient storage. One such technology is IBM's DB2 BLU Acceleration - a revolutionary technology designed to make the most of modern hardware. BLU Acceleration integrates columnar tables into the DB2 database, an advancement that's seen significant performance improvements in the world of data analytics.

Columnar tables in DB2 BLU Acceleration store data by columns rather than by rows. This is different from traditional row-oriented databases such as SQL Server 2019 or MySQL 8.0 where data is stored in a row-wise manner. The columnar storage allows for better compression and faster query performance, especially in large databases where billions of rows of data are involved.

In the context of DB2 11.5, creating a column-organized table is a straightforward task. You can simply use the ORGANIZE BY COLUMN clause when creating a table. The following DB2 SQL script creates a columnar table named 'Orders':


-- DB2 SQL code
CREATE TABLE Orders
(
OrderID INT NOT NULL,
CustomerID INT,
EmployeeID INT,
OrderDate DATE,
ShipperID INT
)
ORGANIZE BY COLUMN;

In the world of cloud databases, columnar storage has also blossomed. Azure SQL Database and Azure Synapse Analytics utilize columnstore indexes to achieve similar results. A columnstore index stores data in a column-wise manner, which can significantly enhance the performance of data warehouse query workloads.

To create a columnstore index in Azure SQL, the CREATE COLUMNSTORE INDEX statement is used. Here's an example of creating a columnstore index named 'CSI_Orders' on the 'Orders' table:


-- T-SQL code
CREATE CLUSTERED COLUMNSTORE INDEX CSI_Orders
ON Orders;

By leveraging columnar tables in DB2 BLU Acceleration, Azure SQL, and Azure Synapse, you can enjoy enhanced query performance, reduced IO operations, and improved data compression. With the continuing growth in data volumes, the adoption of column-oriented storage proves to be a significant step forward in data management and analytics.

Whether you're working with on-premise DB2, Azure SQL, or Azure Synapse, understanding and applying columnar storage methods can lead to significant improvements in your data management efforts. As the database technology landscape evolves, staying abreast of these advancements will ensure you're always getting the most out of your data.

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