Here’s the brilliant idea of comparing Dates in SQL. The query is helpful for DB2 SQL developers. For this demo, I chose three examples. This logic you can follow for comparing the DATEs in your project.
SQL Query Compares Dates using ‘>’ Greater than
SELECT * FROM table WHERE purchdate > '2002-10-01';
The syntax for DATE is
datecolumn > ‘XXXX-XX-XX’
- Always you need to give date in quotes.
- You can use <, >, = in DATE comparisons.
SQL Query Compare Dates using ‘<‘ Less than
SELECT *
FROM table
WHERE purchdate < '2002-10-10';
SQL Query Using DATE ‘=’ Equal to
SELECT *
FROM table
WHERE purchdate = '2020-04-19;
-
Recent posts
Tony Robbins Vocabulary: 50 Powerful Words and Phrases to Improve Your English
Learn 50 powerful Tony Robbins vocabulary words and phrases with simple meanings and example sentences to improve your English speaking skills
-
Recent posts
Migrating JSON Files from AWS S3 to PostgreSQL Using AWS Glue and PySpark
Migrating JSON files from AWS S3 to PostgreSQL using AWS Glue and PySpark is one of the most common data engineering challenges teams face today. In this guide, you will learn exactly how to build a production-grade AWS Glue JSON to PostgreSQL migration pipeline — from reading raw JSON files in S3 to writing clean,…
-
Recent posts
5 PySpark Performance Anti-Patterns on Databricks (And How to Fix Them)
Databricks makes scaling big data processing feel almost effortless. Under the hood, however, writing PySpark without understanding how Apache Spark and Delta Lake execute your code can quietly ruin performance, spike DBU costs, and cause out-of-memory (OOM) crashes. Below are 5 common PySpark anti-patterns seen in production, along with exact code fixes to keep your…
Related
