Converting data types and Snowflake's failure management
SQL queries frequently need to convert between data types. This recipe provides us with examples of conversion. Something that comes with conversion is failure – data type mismatches, for example. Snowflake provides a novel as well as a very structured way of handling such failure scenarios, and recovery methods. This allows the Snowflake user to build high-quality data processing pipelines that avoid failures and if they occur, know how to handle them, how to recover, and how to leave the system stable. Let's now look into Snowflake's unique approach to avoid errors during query execution by using TRY_
versions of different conversion functions.
How to do it…
The following steps walk you through various data type conversion scenarios:
- Let's start with the common scenario of converting a number stored as a string into a numeric value. We will explore the example of converting to...