delete manual duckdb extension installation

Makefile

@@ -70,10 +70,6 @@ lint-and-test-examples:
 	poetry run mypy --config-file mypy.ini docs/examples
 	poetry run flake8 --max-line-length=200 docs/examples
 	cd docs/tools && poetry run python prepare_examples_tests.py
-	# install duckdb extension for postgres_to_postgres example
-	cd docs/examples/postgres_to_postgres && wget http://extensions.duckdb.org/v0.10.3/linux_amd64_gcc4/postgres_scanner.duckdb_extension.gz && gunzip ./postgres_scanner.duckdb_extension.gz
-	cd docs/examples/postgres_to_postgres && poetry run python ./install_duckdb_extensions.py
-	# run tests
 	cd docs/examples && poetry run pytest
 
 

docs/examples/postgres_to_postgres/postgres_to_postgres.py

@@ -5,6 +5,10 @@
 keywords: [connector x, pyarrow, zero copy, duckdb, postgres, initial load]
 ---
 
+:::info
+Huge shout out to [Simon Späti](https://github.com/sspaeti) for this example!
+:::
+
 This examples shows you how to export and import data from Postgres to Postgres in a fast way with ConnectorX and DuckDB
 since the default export will generate `Insert_statement` during the normalization phase, which is super slow for large tables.
 
@@ -218,9 +222,7 @@ def table_desc(table_name, pk, schema_name, order_date, columns="*"):
         print("##################################### START DUCKDB LOAD ########")
         # connect to local duckdb dump
         conn = duckdb.connect(f"{load_info.destination_displayable_credentials}".split(":///")[1])
-        conn.install_extension(
-            "./postgres_scanner.duckdb_extension"
-        )  # duckdb_extension is downloaded/installed manually here, only needed if `LOAD/INSTALL postgres` throws an error
+        conn.sql("INSTALL postgres;")
         conn.sql("LOAD postgres;")
         # select generated timestamp schema
         timestamped_schema = conn.sql(