We've used Redshift's built-in functions to get today's date and time in the example above. Select current_date today, current_timestamp now, current_time time_now, to_date( '28-10-2010', 'DD-MM-YYYY') Using a function to create a datetime from some other input.Selecting a datetime column in the query.No, we can get datetime results in two ways: But how do we get the results of those types of queries? Does it always have to come from data stored in columns? Now we know the different data types you can get for time series. TIMESTAMPZ: Timestamp along with the time zone infoįor more information, check out the AWS documentation. TIMESTAMP: Includes both the date and time.TIMEZ: Time with time zone info (since time in New York is behind that in Tokyo, for instance, time zones reflect this difference).Like most other relational databases such as MySQL, SQL Server, Oracle, DB2, etc., Redshift can handle and manipulate time series data.įirstly, let's look at which data types for time series are supported by Redshift and what kind of data they can hold. Redshift is a database provided as a part of AWS (Amazon Web Services), based on the Postgres database, but with some differences. Time series data holds the date and/or time information and is different from string or numeric data since it has components like day, month, year, hours, etc., that we might want to access/compare/modify.įor example, we might want sales in the month of May or to find the difference in two dates as the number of months. This article will cover how to work with time series/datetime data in Redshift.
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