Hi <@U04SE163WC8> I am getting this error, i have ...
# ask-ai
s
Hi @kapa.ai I am getting this error, i have a very large schema with a lot of tables. How can i fix this? The content length [10601372] exceeds the maximum allowed content length [10485760]
k
The error you're encountering is due to the size of your schema exceeding the maximum allowed content length. This is a limitation of the HTTP requests on the Micronaut server that stores catalogs in Airbyte. One way to address this issue is to increase the
MICRONAUT_SERVER_MAX_REQUEST_SIZE
to a value higher than your catalog's size. If you're using helm charts to deploy, you can add the following:
Copy code
yaml - name: MICRONAUT_SERVER_MAX_REQUEST_SIZE   value: "10601372" # or a higher value
However, please note that the Airbyte platform may not perform optimally with a very large catalog. Another approach is to specify the schema in the connector configuration or create a specific user with limited access to split tables. This can help reduce the size of the schema being fetched. Please refer to the discussion in this [Github issue](https://github.com/airbytehq/airbyte/issues/37463) for more details.
s
@kapa.ai where can i find MICRONAUT_SERVER_MAX_REQUEST_SIZE?
k
A message from kapa.ai
The
MICRONAUT_SERVER_MAX_REQUEST_SIZE
is an environment variable that you can set in your deployment configuration. If you're using Docker, you can add it to your
.env
file:
Copy code
bash MICRONAUT_SERVER_MAX_REQUEST_SIZE=10601372
And then in your
docker-compose.yaml
file, you can add it to the environment section of the appropriate service:
Copy code
yaml services:   airbyte-server:     environment:       - MICRONAUT_SERVER_MAX_REQUEST_SIZE=${MICRONAUT_SERVER_MAX_REQUEST_SIZE}
If you're using Helm charts for Kubernetes deployment, you can add it to your values.yaml file or directly in your helm command with
--set
flag. Please refer to this [Github issue](https://github.com/airbytehq/airbyte/issues/4564) for more details.
s
@kapa.ai Why dont i see transformations section in snowflake to snowflake pipeline
k
A message from kapa.ai
The transformations feature in Airbyte is handled through dbt (data build tool). However, as per the discussion on this [Github page](https://github.com/airbytehq/airbyte/discussions/38168), custom transformation and normalization were deprecated. If you need to use post-transformations on your data, Airbyte recommends using dbt with an orchestrator to run the job in your pipeline. Please note that the transformations are not directly visible or configurable in the Airbyte UI. You would need to set up dbt separately and configure it to perform the transformations you need.
s
@kapa.ai How can i downgrade my airbyte?
k
A message from kapa.ai
New message text here
s
@kapa.ai getting this error "bootloader" didn't complete successfully: exit 255
k
A message from kapa.ai
The "bootloader" didn't complete successfully: exit 255 error usually occurs when there's an issue with the Airbyte version upgrade process. This could be due to trying to upgrade directly from an older version to a much newer version without going through necessary intermediary versions. For instance, in the [Github Issue 38152](https://github.com/airbytehq/airbyte/issues/38152), the user was trying to upgrade from version 0.36.10-alpha to version 0.59.1 directly. The error message indicated that they first needed to upgrade to version 0.37.0-alpha, and then upgrade to version 0.59.1. If you're facing a similar issue, you would need to upgrade your Airbyte instance to the required intermediary version first, and then upgrade to the latest version. In some cases, deleting the bootloader container and re-running docker compose up resolved the issue as mentioned in the [Github Issue 24086](https://github.com/airbytehq/airbyte/issues/24086). If you're still facing issues, please provide more details about your current Airbyte version, the version you're trying to upgrade to, and any relevant log outputs. This will help in providing a more accurate solution.
s
@kapa.ai how can i delete the old version completely from the system and setup a particular version
k
A message from kapa.ai
To completely remove an old version of Airbyte from your system and set up a specific version, you can follow these steps: 1. Stop and remove all Airbyte Docker containers. You can do this by navigating to the directory where your
docker-compose.yaml
file is located and running the following command:
Copy code
bash docker-compose down
2. Remove Airbyte Docker images. This will ensure that all old versions of Airbyte are removed from your system. You can do this with the following command:
Copy code
bash docker rmi $(docker images -q airbyte/*)
3. Remove the Airbyte volumes. This will delete all data associated with your Airbyte instance. Be careful with this step as it will delete all your data and cannot be undone. You can do this with the following command:
Copy code
bash docker volume rm $(docker volume ls -q | grep airbyte)
4. Install a specific version of Airbyte. You can do this by first cloning the Airbyte repository and then checking out the specific version you want to install. For example, if you want to install version
0.30.0-alpha
, you can do this with the following commands:
Copy code
bash git clone <https://github.com/airbytehq/airbyte.git> cd airbyte git checkout v0.30.0-alpha
5. Start Airbyte. You can now start your specific version of Airbyte with the following command:
Copy code
bash docker-compose up
Please note that these steps will completely remove your old Airbyte instance, including all data, and replace it with a new instance of a specific version. Make sure to backup any important data before proceeding. Sources: - [Github Issue 30287](https://github.com/airbytehq/airbyte/issues/30287) - [Airbyte Documentation](https://docs.airbyte.com/operator-guides/upgrading-airbyte#resetting-your-configuration)
s
@kapa.ai how to download a particular version of airbyte to a VM using .sh file
k
A message from kapa.ai
To download a specific version of Airbyte to a VM using a shell script, you can follow these steps: 1. Connect to your VM. You can do this using SSH. The command will look something like this:
Copy code
bash ssh <admin username>@<IP address>
2. Create and navigate to a new directory. This is where you'll download Airbyte.
Copy code
bash mkdir airbyte   cd airbyte
3. Download the Airbyte install script. You can do this using the
wget
command. However, the script you download from the master branch will always fetch the latest version of Airbyte. To get a specific version, you'll need to modify the script.
Copy code
bash wget <https://raw.githubusercontent.com/airbytehq/airbyte/master/run-ab-platform.sh>
4. Modify the script to fetch a specific version. Open the
run-ab-platform.sh
file in a text editor and change the
VERSION
variable to the version you want. For example, if you want version
0.30.0-alpha
, change the line to
VERSION=0.30.0-alpha
. 5. Make the script executable and run it. This will download and start Airbyte.
Copy code
bash chmod +x run-ab-platform.sh   ./run-ab-platform.sh -b
Please note that these steps assume you have Docker and Docker Compose installed on your VM. If not, you'll need to install those first. Sources: - [Deploy Airbyte on Azure (Cloud Shell)](https://docs.airbyte.com/deploying-airbyte/on-azure-vm-cloud-shell#install-and-start-airbyte) - [Deploy Airbyte on Oracle Cloud](https://docs.airbyte.com/deploying-airbyte/on-oci-vm#install-and-start-airbyte) - [Deploy Airbyte on GCP (Compute Engine)](https://docs.airbyte.com/deploying-airbyte/on-gcp-compute-engine#install-and-launch-airbyte) - [Deploy Airbyte on AWS (Amazon EC2)](https://docs.airbyte.com/deploying-airbyte/on-aws-ec2#install-and-start-airbyte) - [Deploy Airbyte on DigitalOcean](https://docs.airbyte.com/deploying-airbyte/on-digitalocean-droplet#install-airbyte)
s
@kapa.ai How to delete temp postgres data created for airbyte
k
A message from kapa.ai
Airbyte creates temporary tables during the data synchronization process. These tables are usually deleted after a successful sync. However, if a sync fails, these temporary tables might not be deleted. You can manually delete these temporary tables from your PostgreSQL database. The temporary tables created by Airbyte usually have names starting with
_AIRBYTE_TMP
. Here is a simple SQL command to delete these tables:
Copy code
sql DO $$  DECLARE     table_name text;  BEGIN     FOR table_name IN (SELECT table_name FROM information_schema.tables WHERE table_name LIKE '_AIRBYTE_TMP%')     LOOP        EXECUTE 'DROP TABLE IF EXISTS ' || table_name;     END LOOP;  END $$;
Please be careful while running this command as it will delete all tables starting with
_AIRBYTE_TMP
. Also, note that according to a [forum post](https://discuss.airbyte.io/t/1388), it's safe to delete these tables and it won't cause any issues. However, it's recommended to investigate why the sync failed in the first place, as repeated failures could lead to an accumulation of these temporary tables. You can check the logs for more details on the failure. Airbyte has acknowledged this issue and plans to fix it as per this [Github issue](https://github.com/airbytehq/airbyte/issues/4059).
s
@kapa.ai i am using airbyte created db, where is this stored in vm?
k
A message from kapa.ai
Airbyte uses Docker to run its services, including its internal database. The data for the Airbyte database is stored in a Docker volume. You can list all Docker volumes and find the one related to Airbyte using the following command:
Copy code
bash docker volume ls
The Airbyte volumes usually have names starting with
airbyte_
. The volume for the Airbyte database is typically named
airbyte_db_data
. To inspect the details of this volume, including where it is stored on your VM, you can use the
docker volume inspect
command:
Copy code
bash docker volume inspect airbyte_db_data
This will return a JSON object with details about the volume. The
Mountpoint
field in this JSON object indicates the location on your VM where the volume's data is stored. Please note that directly accessing or modifying the data in this volume is not recommended as it can lead to data loss or corruption. Always use the Airbyte interface or API to interact with your Airbyte data. Sources: - [Configuring the Airbyte Database](https://docs.airbyte.com/operator-guides/configuring-airbyte-db) - [Accessing the default database located in docker airbyte-db](https://docs.airbyte.com/operator-guides/configuring-airbyte-db#accessing-the-default-database-located-in-docker-airbyte-db)