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Data source: AWS RDS

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As the first step, you need to set up a machine for Database Lab Engine instance. See the guide Set up a machine for the Database Lab Engine.

See also

To get started using Database Lab for Amazon RDS databses, see the Database Lab tutorial for Amazon RDS.

We have two options to connect to the RDS database, you need to consider the Database authentication method that is assigned to your RDS database.

Options:

  • Using password authentication (master password). This option can be used for all Database authentication method enabled for your database and requires to set the master password of the database in the Database Lab configuration file
  • IAM database authentication. This option can be used only with Password and IAM database authentication, it requires AWS user credentials and does not require the master password, use this option for granular control of the access to your database

If you want to use IAM database authentication, read how to enable it here.

Option 1: Password authentication#

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You need to know the master password. If you lost the password it can be reset. Read how to reset it here.

Copy the contents of configuration example config.example.logical_generic.yml from the Database Lab repository to ~/.dblab/server.yml and update the following options:

  • Set secure server:verificationToken, it will be used to authorize API requests to the Engine
  • Set connection options in retrieval:spec:logicalDump:options:source:connection:
    • dbname: database name to connect to
    • host: database server host
    • port: database server port
    • username: database user name
    • password: database master password (can be also set as PGPASSWORD environment variable of the Docker container)
  • Set proper version in Postgres Docker images tags (change the images itself only if you know what are you doing):
    • provision:options:dockerImage
    • retrieval:spec:logicalRestore:options:dockerImage
    • retrieval:spec:logicalDump:options:dockerImage

Launch Database Lab Engine:

sudo docker run \  --name dblab_server \  --label dblab_control \  --privileged \  --publish 2345:2345 \  --volume /var/run/docker.sock:/var/run/docker.sock \  --volume /var/lib/dblab/dblab_pool/dump:/var/lib/dblab/dblab_pool/dump \  --volume /var/lib/dblab:/var/lib/dblab/:rshared \  --volume ~/.dblab/server.yml:/home/dblab/configs/config.yml \  --volume /sys/kernel/debug:/sys/kernel/debug:rw \  --volume /lib/modules:/lib/modules:ro \  --volume /proc:/host_proc:ro \  --env DOCKER_API_VERSION=1.39 \  --detach \  --restart on-failure \  postgresai/dblab-server:2.4.1

Option 2: IAM database authentication#

Prepare AWS user and IAM database access policy#

  1. Create an AWS user (or use an existing one)
  2. Save and assign AWS access environment variables:
    - `export AWS_ACCESS_KEY="access_key"`- `export AWS_SECRET_ACCESS_KEY="secret_access_key"`
    Read how you can get the AWS access keys for the existing user here
  3. Create and attach an IAM Policy for IAM Database Access to an AWS user. Read how you can to it here
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Alternatively, you can add AmazonRDSFullAccess, IAMFullAccess policies to an AWS user (not recommended).

Set up and run Database Lab Engine#

Copy the contents of configuration example config.example.logical_rds_iam.yml from the Database Lab repository to ~/.dblab/server.yml and update the following options:

  • Set secure server:verificationToken, it will be used to authorize API requests to the Engine
  • Set connection options retrieval:spec:logicalDump:options:source:connection:
    • dbname: database name to connect to
    • username: database user name
  • Set AWS params in retrieval:spec:logicalDump:options:source:rdsIam:
    • awsRegion: RDS instance region
    • dbInstanceIdentifier: RDS instance identifier
  • Set proper version in Postgres Docker images tags (change the images itself only if you know what are you doing):
    • provision:options:dockerImage
    • retrieval:spec:logicalRestore:options:dockerImage
    • retrieval:spec:logicalDump:options:dockerImage

Download AWS RDS certificate#

This type of data retrieval requires a secure connection to a database. To setup it we need to download a certificate from AWS.

wget https://s3.amazonaws.com/rds-downloads/rds-combined-ca-bundle.pem -P ~/.dblab/

Run Database Lab Engine#

Run Database Lab Engine (set proper AWS access keys and update Verification token):

sudo docker run \  --name dblab_server \  --label dblab_control \  --privileged \  --publish 2345:2345 \  --volume ~/.dblab/server.yml:/home/dblab/configs/config.yml \  --volume /var/lib/dblab/dblab_pool/dump:/var/lib/dblab/dblab_pool/dump \  --volume /var/run/docker.sock:/var/run/docker.sock \  --volume /var/lib/dblab:/var/lib/dblab/:rshared \  --volume /sys/kernel/debug:/sys/kernel/debug:rw \  --volume /lib/modules:/lib/modules:ro \  --volume /proc:/host_proc:ro \  --volume ~/.dblab/rds-combined-ca-bundle.pem:/cert/rds-combined-ca-bundle.pem \  --env AWS_ACCESS_KEY_ID="${AWS_ACCESS_KEY}" \  --env AWS_SECRET_ACCESS_KEY="${AWS_SECRET_ACCESS_KEY}" \  --env DOCKER_API_VERSION=1.39 \  --detach \  --restart on-failure \  postgresai/dblab-server:2.4.1

Restart in the case of failure#

# Stop and remove the Database Lab Engine control container.sudo docker rm -f dblab_server
# Clean up data directory.sudo rm -rf /var/lib/dblab/dblab_pool/data/*
# Remove dump directory.sudo umount /var/lib/dblab/dblab_pool/dumpsudo rm -rf /var/lib/dblab/dblab_pool/dump