Redshift datediff6/15/2023 ![]() To be notified about any cluster reboots outside of your maintenance window, create an event notification for your Amazon Redshift cluster. A faulty node in the cluster was replaced.An issue with your Amazon Redshift cluster was detected.Specifically, this means you could successfully run the same code across multiple databases without having to worry about the finicky differences in syntax.An Amazon Redshift cluster is restarted outside of the maintenance window for the following reasons: Using the DATEDIFF macro, you can calculate the difference between two dates without having to worry about finicky syntax. With dbt v1.2, adapters now support cross-database macros to help you write certain functions, like DATE_TRUNC and DATEDIFF, without having to memorize sticky function syntax. Luckily, dbt-core has your back! dbt Core is the open source dbt product that helps data folks write their data transformations following software engineering best practices. What happens when you switch to a different one for a new job or a new data stack? Remembering if there’s an underscore in the function name or which argument the is passed in as is… no fun and leads to the inevitable, countless “datediff in bigquery” Google searches. ![]() You may be able to memorize the syntax for the DATEDIFF function for the primary data warehouse you use. BigQuery also supports a separate DATE_DIFF function that will return the difference between two date types, unlike the DATETIME_DIFF that only supports the datetime type.Ī hero in the shadows: The DATEDIFF dbt macro! The DATETIME_DIFF arguments are datetimes, not dates Snowflake, Redshift, and Databricks’ DATEDIFF functions support multiple date types such as dates and timestamps. ![]() This is on par with Google BigQuery’s preference to have underscores in function names.
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