Redshift lateral column alias sometimes called derived columns are columns that are derived from the previously computed columns in same SELECT statement. Derived columns or computed columns are virtual columns that are not physically stored in the table. Their values are re-calculated every time they are referenced in a query. Many PostgreSQL relational databases such as Netezza supports lateral column alias. Recently Redshift also started supporting lateral column alias reference. In this post, lets us explore that new feature. Page Content Introduction Why Use Lateral Column Alias in Redshift? How…

The performance of the Redshift database is directly proportional to the optimal table design in your database. Optimizing Amazon Redshift table structure is very important aspect to speed up your data loading and unloading process. In this article, we will check out some tricks to optimize Redshift table design to improve performance. Optimize Redshift Table Design There is no specific set of rules to optimize Redshift table structure. Creating optimal table design is based on the type of data that you are about to load. However, here are some of…

When you work on large enterprise data warehouse, you will be working with multiple tables and those tables will be shared across multiple data marts within your application. Sometimes, users will explicitly lock the access to the table if they are refreshing or updating data. In this article, we will check how to identify and kill Redshift Table locks. Redshift Identify and Kill Table Locks You can use Redshift system tables to identify the table locks. One such table is STV_LOCKS, this table holds details about locks on tables in…

When you work in an enterprise data warehouse (EDW), you will work with multiple data sources. Sometimes you may have to derive the table to get only required columns instead of joining big table. This process not only improve the performance, but also avoid unnecessary memory usage. In this article, we will check how to improve the performance of Redshift query by creating derived tables with some examples. Amazon Redshift Derived Tables In the real world scenario, you may derive the some column from base table and instead of creating…

Amazon Redshift is a fully managed, distributed relational database on the AWS cloud. Hardware's are completely managed by the Amazon and to make database administrator life easy, it has bundled with many system tables. Those system tables hold abundant information about your database, tables, rows, statistics and many more. You can use these system tables to find Redshift table size without giving a second thought. How to Find Redshift Table Size? When you create a table in Redshift database, the table does not consume any space on the data slices…

Amazon Redshift supports the DECODE function and it is similar to DECODE function in other relational databases such as Oracle, SQL Server, MySQL, Netezza, etc. You can use the Redshift DECODE function to implement the simple CASE conditional statement or an if-then-else statement. This command is a shorthand form of the Redshift CASE Conditional function. Redshift DECODE Function A DECODE expression in Redshift replaces a specific value with either another specific value or a default value, depending on the result of an equality condition. The DECODE function operation is equivalent…

Amazon Redshift is a fully managed, distributed relational database on the AWS cloud. Amazon will manage the hardware's and your only task is to manage databases that you create as a result of your project. In this article, we will check one of the administrator tasks, generate Redshift view or table DDL using System Tables. Generate Redshift DDL using System Tables Amazon Redshift support many system tables, that will make your life easier as a database administrator. All the activity information's such as executed query, DDL, memory information, etc. are…