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Athena Greater Than Condition in Date Column

sql
date-formatting
datetime-comparisons
sql-queries
Nikita BarsukovbyNikita Barsukov·Jan 10, 2025
TLDR

Fetch records with a date_column beyond a specific date in Athena by executing the following:

SELECT * FROM your_table WHERE date_column > '2023-01-01';

Ensure date_column is properly classified as a DATE or TIMESTAMP type. The query is designed to return records occurring after '2023-01-01'. Replace '2023-01-01' to meet your specified condition.

Dealing with VARCHAR

If your date_column is currently in VARCHAR format, you should cast it to DATE. CAST(date_column AS DATE) will save you from a plethora of datatype-related troubles. Testing your query with various date values helps maintain the integrity of your comparisons.

SELECT * FROM your_table WHERE CAST(date_column AS date) > '2023-01-01';

Counting Observations by Date

In many scenarios, you might want to count observations group by date. Use COUNT(*) along with GROUP BY. Athena will do the computations while you grab a donut 🍩.

SELECT observation_date, COUNT(*) FROM your_table WHERE date_column > '2023-01-01' GROUP BY observation_date;

The TIMESTAMP Pitfall

Be cautious when comparing TIMESTAMPs with DATEs. As TIMESTAMP includes a time component, a DATE comparison without specifying time might yield unexpected results.

-- "You have zero time, just like Cinderella at midnight 💃🏼✨." SELECT * FROM your_table WHERE timestamp_column > DATE '2023-01-01 00:00:00';

ISO-8601 Formatted Dates? No Problem

ISO-8601 formatted dates are no match for our ever-handy function, parse_datetime. Just pass the string and format to it and voila — problem solved!

-- "Talk ISO to me." SELECT * FROM your_table WHERE date_column > parse_datetime('2023-01-01', 'yyyy-MM-dd');