Amazon Redshift is relatively new to relational databases. It is based on PostgreSQL, but being a columnar distributed database, it does not support all functions that are available in PostgreSQl. One of such requirement is split a delimited string into rows. In this article, we will check how to split delimited fields into table records or rows using Redshift built in function. Not that, the method described in this article usually works when you have a fixed number of delimited fields in your input string. Say, you have 5 delimited…

Amazon Redshift like most of the PostgreSQL relation databases like Netezza or Vertica does not provide support for dual system table. You can simply use the SELECT clause with nothing to display the results. In this article, we will check what is Amazon Redshift dual table alternative and how to use it. What is DUAL table? The DUAL is special one row, one column table present by default in databases. The database like, oracle automatically create dual table and grant SELECT access to all users by default. The dual table…

The psql is a command line interface to connect to any postgreSQL relational database systems such as Redshift, Greenplum, etc. You can connect to your Redshift or any other PostgreSQL system using psql and execute queries without needing any particular tool. Your psql execution command may get fail and you need a status code to provide a proper error message to client. In this article, we will check what are psql windows exit status codes with explanation. Psql Windows Exit Status Codes When you execute queries interactively using psql prompt…

Amazon Redshift is fully managed, distributed, petabyte scale relational database system on Amazon web services (AWS). Redshift is a columnar database, it is capable of performing complex queries efficiently over petabytes of data. You can scale the database based on your needs and handle growing datasets. Redshift comes with built-in query optimization features. As a part of performance enhancement step, you can distributes table data on particular column(s). Another important feature is the Redshift sort key to boost your Redshift data access mechanism. In this article, we will check how…

When you work on the different data sources and trying to load data to Redshift from multiple sources, you might encounter type cast issues such as characters in integer column and that leads the loading to fail. Hence, it is very important to perform integer value check when you are not sure about source data types. In this article, we will check how to performance integer value check in Redshift database. Why you should check for Integer values in Redshift? When you are working on the data warehouse and heterogeneous…

Amazon Redshift LEFT and RIGHT functions are string functions which are useful when you want to get sub-string from the given raw string. For example, consider a fixed width file and you want to extract leftmost 10 numbers, you can use Redshift LEFT function with length as an argument. In this article, we will check Redshift LEFT and RIGHT functions with some examples. Redshift LEFT and RIGHT Functions Page Contents Introduction to Redshift String Functions Amazon Redshift Left and Right Functions Redshift LEFT Function Redshift RIGHT Function Redshift SUBSTR as…

The MERGE command or statement in standard SQL is used to perform incremental load. i.e. load only new set of records into target table. With the help of SQL MERGE statement, you can perform UPDATE and INSERT simultaneously based on the merge condition. As of now, Amazon Redshift doesn't support a single merge statement. In this article, we will check what is Redshift merge statement with an example. Merge table or Update insert is also called UPSERT. Page Contents Introduction to Amazon Redshift. Understanding the Merge Statement Merge Statement in Amazon Redshift…