SQL to PySpark Query Conversion – Complete Guide
In this article, we are converting the SQL queries to Pyspark code Task SQL Command PySpark Command Selecting Data SELECT col1, col2 FROM table; df.select(“col1”, “col2”) Filtering Data SELECT *…
In this article, we are converting the SQL queries to Pyspark code Task SQL Command PySpark Command Selecting Data SELECT col1, col2 FROM table; df.select(“col1”, “col2”) Filtering Data SELECT *…
SQL also supports the use of aggregate expressions (or functions) that allow you to summarize information about a group of rows of data. SELECT AGG_FUNC(column_or_expression) AS aggregate_description, … FROM mytable…
A JOIN clause is used to query and access data from multiple tables by using logical relationships between them. Join syntax SELECT column, another_column, … FROM mytable INNER/LEFT/RIGHT/FULL JOIN another_table…
To delete duplicates from a table, you’ll need to identify the duplicate rows first and then delete them using SQL. The approach varies slightly depending on whether you’re working with…
Identify duplicates criteria The first step is to define your criteria for a duplicate row. Do you need a combination of two columns to be unique together, or are you…
SQL LIMIT and OFFSET LIMIT: Limits the number of rows returned by a query OFFSET: Specifies how many rows to skip before returning the results Here’s an example of using…
HAVING Clause is used to filter the records from the groups based on the given condition. HAVING clause alwaysed used after
Table of Contents Toggle sql Interview coding/Query questions Database design and optimization sql Interview coding/Query questions Difference between WHERE and HAVING clause in SQL LIMIT and OFFSET – The most…