NoDb | file system storage for .NET Core | Database library
kandi X-RAY | NoDb Summary
kandi X-RAY | NoDb Summary
I named the project NoDb in a nod to the NoSql movement, which uses document databases rather than the more traditional, relational SQL databases. Not using a database at all seems to me taking the idea one step further than NoSql. Myself, I think relational/SQL databases, NoSql document databases, and file system storage such as NoDb all have their places, according to the needs of the project. I think one size does not fit all and you should think deeply about the actual needs and requirements of your project in order to choose wisely. I recommend abstracting the data access in a way that you can easily plug in different storage later if needs change. If you have questions please visit our community forum
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QUESTION
back ground info: recently we upgraded the airflow from 2.10.14 to 2.1.3, the pgbouncer was using customised container built from azure microsoft image (mcr.microsoft.com/azure-oss-db-tools/pgbouncer-sidecar:latest).
the customised pgbouncer stopped working, it instead connects to the main postgresql server now.
so I now try to use pgbouncer deployed by airflow 2.1.3 (helm chart 8.5.2) instead (https://artifacthub.io/packages/helm/airflow-helm/airflow/8.5.0#how-to-use-an-external-database), and have problems.
Below is the key info
in my values.yaml file, key info is like below
...ANSWER
Answered 2021-Dec-25 at 10:28We had 2 options to the problem (note, our airflow chart is the community chart version 8.5.2), and we chose the 1st option. When looking back, option 2 would have been easier, and would have required almost no change, once the next release has it fixed properly.
- Given the fact that
community airflow chart version 8.5.2 built-in pgbouncer defaults the auth type to a fixed value, which if the pgbouncer connects to azure postgresql single server, it will fail
, one can choose tonot use
pgbouncer provided by the 8.5.2 version chart, i.e.pgbouncer=false
, and then deploy their own pgbouncer (usehelm and kubecetl
etc), and in the airflowvalues.yaml
file pointexternalDatabase
host to thepgbouncer
service. we chose this approach:
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