Writing JSON column to Postgres using Pandas .to_sql

Question

During an ETL process I needed to extract and load a JSON column from one Postgres database to another. We use Pandas for this since it has so many ways to read and write data f

Answer 1

I've been searching the web for a solution but couldn't find any so here is what we came up with (there might be better ways but at least this is a start if someone else runs into this).

Specify the dtype parameter in to_sql.

We went from:df.to_sql(table_name, analytics_db) to df.to_sql(table_name, analytics_db, dtype={'name_of_json_column_in_source_table': sqlalchemy.types.JSON}) and it just works.