Redshift

How to use Amazon Redshift Replace Function?

The Amazon Redshift REPLACE function is one of the important string functions. The replace function allows you to manipulate the string in Amazon Redshift. This string function is similar to translate and regexp_replace functions. Amazon Redshift Replace Function Page Contents Introduction to Amazon Redshift Introduction to Amazon Redshift Syntax of the Redshift Replace Function Redshift Replace Function Example Usage of the Redshift Replace Function Best practices for using the Redshift Replace Function Conclusion Introduction to Amazon Redshift Amazon Redshift is a fully managed, cloud-based data warehouse service offered by Amazon…

Continue ReadingHow to use Amazon Redshift Replace Function?
Comments Off on How to use Amazon Redshift Replace Function?
March 13, 2023
Redshift

How to Optimize Query Performance on Redshift?

In most of the cases, we pay lots of attention to improve the performance of the web application, but ignore the back-end SQL performance tuning. Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that offers simple operations and high performance. Amazon Redshift can run a data model such as production transaction system third-normal-form model, star and snowflake schemas, data vault, or simple flat tables. This article takes you through the most common performance-related opportunities when writing query in Amazon Redshift and gives you concrete guidance on how to optimize…

Continue ReadingHow to Optimize Query Performance on Redshift?
Comments Off on How to Optimize Query Performance on Redshift?
January 31, 2023
Redshift

Redshift RSQL Control Statements – IF-ELSE-GOTO-LABEL

Amazon Redshift is a data warehousing service provided by Amazon Web Services (AWS). It allows users to store and analyze large amounts of data in a scalable and cost-effective manner. Amazon AWS Redshift RSQL is a command-line client for interacting with Amazon Redshift clusters and databases. Redshift RSQL is similar to Teradata BTEQ and is used to interact with the data stored in a Redshift cluster. In this article, we will check Amazon Redshift RSQL control statements such as IF, ELSE, GOT, LABEL,etc. Redshift RSQL Control Statements Amazon Redshift RSQL…

Continue ReadingRedshift RSQL Control Statements – IF-ELSE-GOTO-LABEL
Comments Off on Redshift RSQL Control Statements – IF-ELSE-GOTO-LABEL
January 27, 2023
Redshift

Amazon Redshift Delete with Join Syntax and Examples

Data is an integral part of decision making system. Many application reply on a data to make business decisions. In the relational database world, data is stored in the form of tables. Today, we have unlimited storage, but cost is also high to manage storage. Data is collected over the time and it may or may not be accurate. You may have to clean the data by deleting unwanted records or purge the old data from a system that is outdated. In this article, we will discuss Amazon Redshift delete…

Continue ReadingAmazon Redshift Delete with Join Syntax and Examples
Comments Off on Amazon Redshift Delete with Join Syntax and Examples
July 6, 2022
Redshift

Redshift WHERE Clause with Multiple Columns

Many relational databases such as Teradata and Oracle supports the multiple columns in WHERE clause. You use two or more columns in predicates. When you want to migrate to cloud databases such as Amazon Redshift, you always look for compatible SQL patterns on the target side. In this article, we will check one of such pattern that is Amazon Redshift WHERE clause predicate with multiple columns. What is a WHERE Clause? Before going into details, first let us check what is a where clause in general. The WHERE clause contains…

Continue ReadingRedshift WHERE Clause with Multiple Columns
Comments Off on Redshift WHERE Clause with Multiple Columns
July 6, 2022
Redshift

How to Create a Materialized View in Redshift?

Many organizations are using Redshift as their data warehouse house and they are using Redshift for reporting or for dashboard queries. Imagine if applications query often must perform complex queries on large tables. For example, consider a reporting SELECT statement that performs multi-table joins and aggregations on tables that contain billions of records. You can address this issue using materialized views in Amazon Redshift. In this article, we will check how to create a materialized view in Amazon Redshift. Materialized View in Redshift What are Materialized Views in Redshift? A materialized…

Continue ReadingHow to Create a Materialized View in Redshift?
Comments Off on How to Create a Materialized View in Redshift?
June 16, 2022
Redshift

Psql Invalid Value for Parameter client_encoding – Redshift

In my other article, we have seen steps to connect to Redshift cluster using PostgreSQL PSQL. When you connect to Amazon Redshift from Windows command prompt, you may experience the client encoding issue. In this article, we will check how to resolve "psql: FATAL: invalid value for parameter "client_encoding": "WIN1252"" issue. This is issue is mostly seen when connecting using Windows command prompt. Postgres PSQL Introduction PSQL is a terminal-based front-end to PostgreSQL. It enables you to type in queries interactively, issue them to PostgreSQL, and see the query results. Since Redshift…

Continue ReadingPsql Invalid Value for Parameter client_encoding – Redshift
Comments Off on Psql Invalid Value for Parameter client_encoding – Redshift
April 5, 2022
Redshift

How to Choose Correct Compression Encode in Redshift?

Data is a key aspect of any company's decision making process. It helps organizations to make smart decision using trends such as purchase, growth area and other high-level functionalities. Organizations grow by making smart decisions so does data. As a typical company’s size of data has grown exponentially, it’s become even more critical to optimize data storage. The size of data not only affects storage and cost, it also affects the performance of your query. The typical query performance is always directly proportional to the size of data because smaller…

Continue ReadingHow to Choose Correct Compression Encode in Redshift?
Comments Off on How to Choose Correct Compression Encode in Redshift?
March 17, 2022
Redshift

How to Query JSON Data in Redshift? – Examples

Similar to many cloud data warehouses such as Snowflake, Amazon Redshift supports many json functions to perform operations on json such as validating json data, parsing json values, etc. You can use these json functions to query the JSON data stored in a varchar column. In this article, we will check how to query JSON data in an Amazon Redshift with an example. Query JSON Data in Redshift Amazon Redshift do not contain any special data type to store JSON string. You can store JSON value in SUPER data type.…

Continue ReadingHow to Query JSON Data in Redshift? – Examples
Comments Off on How to Query JSON Data in Redshift? – Examples
March 4, 2022
Redshift

How to Create External Tables in Amazon Redshift?

Amazon Redshift External tables allow you to access files stored in S3 storage as a regular table. You can join the Redshift external table with a database tables such as permanent or temporary table to get required information. You can also perform a complex transformation involving various tables. The External tables are commonly used to build the data lake where you access the raw data which is stored in the form of file and perform join with existing tables. There are many situations in which you need to access the…

Continue ReadingHow to Create External Tables in Amazon Redshift?
Comments Off on How to Create External Tables in Amazon Redshift?
March 2, 2022