SQL Cursor is a database object to retrieve data from a result set one row at a time. You can also consider cursor as a temporary workspace created in database system memory when a SQL query is executed. SQL Cursor always returns one row at a time, you can perform your calculation on returned values. Cursors are usually written using SQL procedural language such as Oracle PL/SQL, Netezza NZPL/SQL. Sample SQL Cursor Example Below is the sample Oracle PL/SQL procedure with cursor defined: CREATE OR replace PROCEDURE Sample_proc IS str1…

Spark SQL supports Analytics or window functions. You can use Spark SQL to calculate certain results based on the range of values. Result might be dependent of previous or next row values, in that case you can use cumulative sum or average functions. Databases like Netezza, Teradata, Oracle, even latest version of Apache Hive supports analytic or window functions. In this article, we will check Spark SQL cumulative Average function and how to use it with an example. Spark SQL Cumulative Average Function There are two methods to calculate cumulative…

Spark SQL analytic functions sometimes called as Spark SQL windows function compute an aggregate value that is based on groups of rows. These functions optionally partition among rows based on partition column in the windows spec. Like other analytic functions such as Hive Analytics functions, Netezza analytics functions and Teradata Analytics functions, Spark SQL analytic functions works on groups of rows. These functions optionally ignore NULL values in the data. Spark SQL Analytic Functions There are two types of Spark SQL windows functions: Ranking functions and Analytic functions Related Articles:…