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Understanding the Differences Between Column(TIMESTAMP(timezone=True)) and Column(DateTime) in SQLAlchemy

# Column(DateTime) vs Column(TIMESTAMP(timezone=True))

This article explains the differences between Column(TIMESTAMP(timezone=True)) and Column(DateTime) in SQLAlchemy. Both data types are used to store date and time values, but they differ in whether they include timezone information. The article provides guidance on when to use each data type, based on the timezone requirements of your application. Additionally, the article notes that the behavior of these data types may depend on the specific database backend being used.

# Introduction

Both `Column(TIMESTAMP(timezone=True))` and `Column(DateTime)` can be used to define a column in SQLAlchemy to store a date and time value. However, there are some differences between the two types of columns:

# "Column(DateTime)"

  • `Column(DateTime)` stores a date and time value without a timezone. This means that the value will be stored in the database exactly as it is provided, without any adjustment for the timezone.

Note that: This can lead to issues if your application needs to work with date and time values across different timezones.

# "Column(TIMESTAMP(timezone=True))"

  • `Column(TIMESTAMP(timezone=True))` stores a date and time value with timezone information. This means that the value will be stored in the database with an offset from UTC that is determined by the timezone information provided with the value. When retrieving the value from the database.

Note that: SQLAlchemy will automatically adjust the value to the timezone of the application, if the timezone is specified.

Summary of article:

  • In general, it is recommended to use Column(TIMESTAMP(timezone=True)) if you need to work with date and time values across different timezones in your application. This will ensure that the timezone information is preserved and can be correctly adjusted as needed. However, if timezone information is not important for your use case, or if you have a specific reason to avoid using timezone information, then Column(DateTime) may be sufficient.

  • It is also worth noting that some database backends may treat `DateTime' and `TIMESTAMP` differently, so the specific behavior may depend on the database you are using.

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