dstandish commented on pull request #18447:
URL: https://github.com/apache/airflow/pull/18447#issuecomment-931503404
@ashb I verified IAM works with postgres hook. and i verified that super is
returned as string.
But even so (and separate from the `geometry` data type, which seems like a
valid point though I didn't verify), I think there's a case for adding a
redshift hook using this connector.
From a user experience perspective, the redshift connector appears to be
easier to deal with.
For example, to use IAM with postgreshook, unless your airflow user aws
profile has access to generate cluster creds, you seem to need two separate
airflow connections:
```python
import os
from airflow.models.connection import Connection
from airflow.providers.postgres.hooks.postgres import PostgresHook
os.environ['AIRFLOW_CONN_AWS_REDSHIFT_CLUSTER_CREDS_GEN'] =
'aws://aws_id:aws_key@?region=region-1'
c = Connection(
host='cluster-identifier.random-id.region-1.redshift.amazonaws.com',
login='my_db_username',
schema='my_database',
extra=json.dumps({"iam": True, "redshift": True, "aws_conn_id":
"aws_redshift_cluster_creds_gen"}),
)
hook = PostgresHook(connection=c)
cnx = hook.get_conn()
```
(commonly, your airflow user might not have that access, but you'd reference
an aws airflow conn that does)
And you'd need to use the cluster hostname
`cluster-identifier.random-id.region-1.redshift.amazonaws.com` but with
redshift connector the simple cluster identifier will do (which is just more
convenient):
```python
conn = redshift_connector.connect(
iam=True,
database='dev',
db_user='awsuser',
cluster_identifier='examplecluster',
profile='default'
)
```
Beyond that, redshift does not behave 100% the same as postgres with regard
to certain things. For example external schemas don't show up in
`information_schema.schemata`. If you look in the [cursor
code](https://github.com/aws/amazon-redshift-python-driver/blob/master/redshift_connector/cursor.py),
where there are a lot of convenience methods for listing things like tables
and primary keys, you can see 9 references to redshift-specific views (search
for svv).
These things built into tho redshift connector would seem to provide
meaningful user value. Though I'm unaware how how well tested this library is
in the wild.
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