I found… sorry: Changing data types of source columns Normally, Airbyte tries to infer the data type from the source, but you can use

reader_options

to force specific data types. If you input

{"dtype":"string"}

, all columns will be forced to be parsed as strings. If you only want a specific column to be parsed as a string, simply use

{"dtype" : {"column name": "string"}}

.

Yes, you're correct. Airbyte typically infers the data type from the source. However, you can override this by using

reader_options

to specify the data types you want. If you want all columns to be parsed as strings, you can use the following code:

json {   "dtype": "string" }

If you only want a specific column to be parsed as a string, you can specify the column name like this:

json {   "dtype" : {     "column name": "string"   } }

Just replace

"column name"

with the name of the column you want to parse as a string. This feature gives you more control over how your data is processed and can be particularly useful when dealing with data sources that have inconsistent or ambiguous data types. For more information, you can refer to the [Airbyte documentation](https://docs.airbyte.com/integrations/sources/file).