google-big-queryHow can I use timestamps in Google Big Query?
Google Big Query supports the use of timestamps to store and query date and time values. A timestamp is a type of data that records when a certain event occurred, and is stored in a format that is easy to read and understand.
Example code
# Standard SQL
SELECT *
FROM `bigquery-public-data.samples.natality`
WHERE timestamp > '2016-01-01'
In the above example, the timestamp column is used to filter the data to only include records that occurred after January 1, 2016.
Code explanation
SELECT *: This is a SQL statement that specifies which columns to select from the table.FROMbigquery-public-data.samples.natality`: This is the table name.WHERE timestamp > '2016-01-01': This is the condition used to filter the data, in this case only records with a timestamp after January 1, 2016 will be returned.
For more information about timestamps in Google Big Query, please refer to the Google Big Query Documentation.
More of Google Big Query
- How do I use Google Big Query to merge data?
- How can I use Google Big Query to integrate with Zephyr?
- How do I set up permissions for Google BigQuery?
- What are the advantages and disadvantages of using Google BigQuery?
- How to use the Google BigQuery emulator?
- ¿Cuáles son las ventajas y desventajas de usar Google BigQuery?
- How do I use the YEAR function in Google BigQuery?
- How can I use Google BigQuery on a Windows system?
- How do I use the UNNEST function in Google BigQuery?
- How do I create and use a user-defined function (UDF) in Google BigQuery?
See more codes...