Mayur Singal c920c9afa3
0.13 to 1.00 docs changes (#11236)
* 0.13 to 1.00 changes

* add superset changes

* dbt gcs yaml fix

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Co-authored-by: Onkar Ravgan <onkar.10r@gmail.com>
2023-04-24 16:12:24 +02:00

6.5 KiB

title slug
Upgrade on Docker /deployment/upgrade/docker

Upgrade on Docker

To run OpenMetadata with Docker, you can simply download the docker-compose.yml file. Optionally, we added some Named Volumes to handle data persistence.

{% note %}

You can find more details about Docker deployment here

{% /note %}

Below we have highlighted the steps needed to upgrade to the latest version with Docker. Make sure to also look here for the specific details related to upgrading to 0.13

{% note description="Warning" %}

It is advised to go through openmetadata release notes before starting the upgrade process.

{% /note %}

Upgrade from 0.13 to 1.0.0

Your production deployment should go from stable version to stable version. This translated to moving from 0.13 to 1.0.0 to get the latest stable OpenMetadata release.

Let's go through the required steps:

1. Backup 0.13 data

  1. Make sure your instance is connected to the Database server
  2. Create a virtual environment to install an upgraded metadata version to run the backup command:
    1. python -m venv venv
    2. source venv/bin/activate
    3. pip install openmetadata-ingestion~=1.0.0
  3. Validate the installed metadata version with python -m metadata --version, which should tell us that we are indeed at 1.0.0. Notice the python -m metadata vs. metadata.
  4. Run the backup using the updated metadata CLI:
    python -m metadata backup -u openmetadata_user -p openmetadata_password -H mysql -d openmetadata_db --port 3306
    
    if using Postgres:
    python -m metadata backup -u openmetadata_user -p openmetadata_password -H postgresql -d openmetadata_db --port 5432 -s public
    
  5. This will generate the .sql file which can be used for the backup In our case, the backup file was named openmetadata_202212201528_backup.sql. You can copy the name from the backup command output.

2. Update the docker compose file

  1. Stop the running compose deployment with docker compose down.
  2. On the compose file we ran the 0.13 version, update the image tag in the ingestion and openmetadata-server to 1.0.0. E.g., image: openmetadata/server:0.13.2.
  3. Start the updated compose file.
  4. Run the reindex from the UI.

3. Restore the backup

We will now use the backup generated in the previous step to repopulate the database.

  1. On your laptop/VM, prepare a virtual environment and install openmetadata-ingestion==1.0.0. It is important that the instance has access to the database.
    1. python -m venv venv
    2. source venv/bin/activate
    3. pip install openmetadata-ingestion~=1.0.0
  2. Validate the metadata version with metadata --version. it should be 1.0.0.
  3. Run the restore with your file name
    metadata restore -H localhost -u openmetadata_user -p openmetadata_password -d openmetadata_db --port 3306 --input openmetadata_202212201528_backup.sql
    
    if using Postgres:
    metadata restore -H localhost -u openmetadata_user -p openmetadata_password -d openmetadata_db --port 5432 -s public --input openmetadata_202212201528_backup.sql
    
  4. Stop the docker compose

4. Upgrade OpenMetadata versions

  1. On the compose file we previously updated the database settings, update the image tag in the ingestion and openmetadata-server to 1.0.0. E.g., image: openmetadata/server:1.0.0.
  2. Start the updated compose file.
  3. Run the reindex from the UI.

Now you should still have all your data with OpenMetadata version 1.0.0.

Upgrade ingestion patch versions

During the release lifespan we may publish new patch versions of openmetadata-ingestion. If you deployed the ingestion container and require one of the fixes or improvements from a new patch release, there's usually no need to re-deploy the full ingestion container.

{% note %}

Note that this process will only work if we are moving from PATCH versions. For example: 0.13.1.1 -> 0.13.1.2.

This method won't work when upgrading from 0.13.1.X -> 0.13.2.X, as that will also require to upgrade the server version.

{% /note %}

The steps to follow are:

  1. Connect to the ingestion container. If using our docker compose files or metadata docker CLI, this translates to docker exec -it openmetadata_ingestion bash.
  2. Validate your metadata version via metadata --version. You will get back something like:
    metadata 0.13.1.5 from /home/airflow/.local/lib/python3.9 (python 3.9)
    
  3. Upgrade the openmetadata-ingestion package via pip install "openmetadata-ingestion==0.13.1.X", for example, pip install "openmetadata-ingestion==0.13.1.7". You can find the list of all released versions of the openmetadata-ingestion package here.
  4. Exit the container by typing exit.
  5. Restart the ingestion container with docker restart openmetadata_ingestion. This will need a few minutes to to stop the container and start it again. Now, Airflow will start with the upgraded metadata version.
  6. Connect to the ingestion container and validate the metadata version:
    1. docker exec -it openmetadata_ingestion bash
    2. metadata version: where we expect to get the same version that was previously installed.

Troubleshooting

Permission Denied when running metadata openmetadata-imports-migration

If you have a Permission Denied error thrown when running metadata openmetadata-imports-migration --change-config-file-path you might need to change the permission on the /opt/airflow/dags folder. SSH into the ingestion container and check the permission on the folder running the below commands

ls -l /opt/airflow
ls -l /opt/airflow/dags

both the dags folder and the files inside dags/ should have airflow root permission. if this is not the case simply run the below command

chown -R airflow:root /opt/airflow/dags

Broken DAGs can't load config file: Permission Denied

You might need to change the permission on the /opt/airflow/dag_generated_config folder. SSH into the ingestion container and check the permission on the folder running the below commands

ls -l /opt/airflow
ls -l /opt/airflow/dag_generated_config

both the dags folder and the files inside dags/ should have airflow root permission. if this is not the case simply run the below command

chown -R airflow:root /opt/airflow/dag_generated_config