When working with a PostgreSQL database and querying data using a tool like DBeaver, it's not uncommon to run into issues where the time displayed in DBeaver doesn't match the time stored in the database. This can be confusing and frustrating, but fortunately, the most likely cause is easy to fix: the timezone settings in DBeaver.
PostgreSQL stores dates and times in UTC format by default. This means that if you query a timestamp field in the database, you'll get back a value in UTC time. However, when that value is displayed in DBeaver, it will be adjusted to the timezone settings of your computer, which may not be the same as the server hosting the database.
To fix this, you'll need to adjust the timezone settings in DBeaver to match the timezone of the server. You can do this by going to the "Window", and then selecting the "Preferences" tab. From there, you should see a setting for "User Interface". Set the timezone value to UTCZ, and then save your changes.
Once you've made this adjustment, your queries should return results that match the actual timestamp values stored in the database. Keep in mind, though, that this adjustment only affects DBeaver. If you're using another tool to query the database, or if you're running queries programmatically, you may need to adjust the timezone settings in those tools as well.
It's also worth noting that if you're working with a database that spans multiple timezones, you may need to take additional steps to ensure that your queries return accurate results. For example, you may need to convert timestamps to a consistent timezone before comparing them or aggregating data. However, for most cases, adjusting the timezone settings in DBeaver should be sufficient.
In conclusion, if you're seeing a discrepancy between the time displayed in DBeaver and the time stored in your PostgreSQL database, don't panic. It's likely just a timezone issue, and can be easily fixed by adjusting the serverTimezone setting in DBeaver. With a little bit of configuration, you'll be able to query your database with confidence, knowing that you're working with accurate timestamp values.
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