The Redshift regular expression functions identify precise patterns of characters in the given string and are useful for extracting string from the data and validation of the existing data, for example, validate date, range checks, checks for characters, and extract specific characters from the data. The regular expression functions allow you to perform complex string manipulations within Redshift SQL statements, such as searching for and extracting specific patterns, validating data, and replacing values. In this article, we will be checking some commonly used Redshift regular expressions with examples. Read: Amazon…

Amazon Redshift String Functions are used for various string manipulations in your SQL queries. Redshift supports most of the standard SQL string function for your string analysis in Amazon Redshift. Redshift also provides the Redshift extension to the string manipulation functions. Redshift String Functions Amazon Redshift provides several string functions that allow you to manipulate and analyze character strings. These Amazon Redshift string processing techniques allow you to handle complex string manipulations. Following are some of the most commonly used string functions in Amazon Redshift: Redshift String FunctionDescriptionLEN(expression) / LENGTH(expression)…

Redshift Analyze command is used to collect the statistics on the tables that query planner uses to create optimal query execution plan using Redshift Explain command. Analyze command obtain sample records from the tables, calculate and store the statistics in STL_ANALYZE table. You can generate statistics on entire tables or on subset of columns. You can specify comma-separated column list for analyze command. How Statistics are collected? Redshift collects statistics in various ways. Statistics are automatically collected for certain database operations. Collect statistics for entire table or subset of columns…

Redshift VACUUM command is used to reclaim disk space and resorts the data within specified tables or within all tables in Redshift database. When you delete or update data from the table, Redshift logically deletes those records by marking it for delete. Vacuum command is used to reclaim disk space occupied by rows that were marked for deletion by previous UPDATE and DELETE operations. This command also sorts the data within the tables when specified.  Read: Redshift ANALYZE Command to Collect Statistics and Best Practices Commonly used Redshift Date Functions…

PostgreSQL (psql) is interactive terminal, you can type the queries and get output on terminal. After you create an Amazon Redshift cluster, you can access it using a terminal-based front end from PostgreSQL, psql, to query the data in your Redshift database. Steps to Connect to Redshift cluster using PostgreSQL - psql Below are the steps you can follow to connect to Redshift cluster using PostgreSQL - psql: Install PostgreSQL on Ubuntu – psql If you are using Ubuntu, you can use apt-get to install PostgreSQL. Below is the command:…

Redshift Unique key constraint is informational only; they are not enforced by Amazon Redshift. Amazon data warehouse appliance supports referential integrity constraints such as Redshift primary key, foreign key, and unique keys as part of SQL-92 standard requirement. You can create Unique key constraint while creating tables in Redshift database but it will not be enforced while loading Redshift tables. Redshift query planner uses these constraints to create better query execution plan. Read: Redshift Primary Key Constraint and SyntaxAmazon Redshift Foreign Key Constraint and Syntax Redshift Unique Key Constraint Syntax…

Redshift foreign key constraint is informational only; they are not enforced by Amazon Redshift. Amazon data warehouse appliance supports referential integrity constraints such as Redshift primary key, foreign key, and unique keys as part of SQL-92 standard requirement. You can create foreign key constraint while creating tables in Redshift database but it will not be enforced while loading Redshift tables. Redshift query planner uses these constraints to create better query execution plan. Read: Amazon Redshift Primary Key Constraint and Syntax Redshift Unique Key Constraint and Syntax Redshift Foreign Key Constraint…

Redshift Primary key constraint is informational only; they are not enforced by Amazon Redshift. Amazon data warehouse appliance supports referential integrity constraints such as Redshift primary key, foreign key, and unique keys as part of SQL-92 standard requirement. You can create primary key constraint while creating tables in Redshift database but it will not be enforced while loading Redshift tables. Redshift query planner uses these constraints to create better query execution plan. If Primary key is set at the column level, it must be on a single column. If PRIMARY…

Data type is an attribute that specifies type of data of any object that is going to be stored in that particular column. Each column, variable and expression has related data type in SQL. However, different database offers the different data types for columns. Redshift data types are almost similar to what the traditional RDBMS supports. Amazon Redshift data types are similar to IBM Netezza data types. When you issue Redshift create table command each column in a database tables must have name and a data type associated with it.…