Parsing Dates and Timestamps with TO_DATE and TO_TIMESTAMP in PostgreSQL
📖 Scenario: You work in a company database team. You receive raw data where dates and timestamps are stored as text strings. To use these dates in reports and calculations, you need to convert these text strings into proper date and timestamp formats.
🎯 Goal: Build SQL queries that convert text strings into DATE and TIMESTAMP data types using PostgreSQL's TO_DATE and TO_TIMESTAMP functions.
📋 What You'll Learn
Create a table called
raw_events with columns event_id (integer) and event_date_text (text) and event_timestamp_text (text).Insert specific rows with given text date and timestamp values.
Write a query using
TO_DATE to convert event_date_text to a DATE column called event_date.Write a query using
TO_TIMESTAMP to convert event_timestamp_text to a TIMESTAMP column called event_timestamp.💡 Why This Matters
🌍 Real World
Many databases receive data from external sources where dates and times are stored as text. Converting these strings to date/time types is essential for accurate filtering, sorting, and calculations.
💼 Career
Database developers and analysts often need to clean and transform raw data. Knowing how to parse dates and timestamps correctly is a fundamental skill for data preparation and reporting.
Progress0 / 4 steps