dbt legacy metadata collector

With the release of the data.world Collector 2.85 we now use our Collector for dbt. This documentation is maintained for those customers who prefer to remain with the legacy collector, however for all new users we suggest using the new data.world Collector.

Prerequisites

The computer running the catalog collector should have connectivity to the internet or access to the source instance, a minimum of 2G memory, and a 2Ghz processor.
Docker must be installed. For more information see https://docs.docker.com/get-docker/. If you can't use docker, we have a java version available as well -- contact us for more details.

Installing the collector

Request access to a download link from your data.world representative for the catalog collector. Once you receive the link, download the catalog collector Docker image (or programmatically download it with curl).
Load the docker image into the local computer’s Docker environment:
```
docker load -i dwdbt-X.Y.tar.gz
```
where X.Y is the version number of the dbt collector image.
The previous command will return an <image id> which needs to be renamed as 'dwbt'. Copy the <image id> and use it in the docker-load command:
```
docker tag <image id> dwdbt
```

Basic parameters

Each collector has parameters that are required, parameters that are recommended, and parameters that are completely optional. Required parameters must be present for the command to run. Recommended parameters are either:

parameters that exist in pairs, and one or the other must be present for the command to run (e.g., --agent and --base)
parameters that we recommend to improve your experience running the command in some way

Together, the required and recommended parameters make up the Basic parameters for each collector. The Basic parameters for this collector are:

Example of a dbt command

The example below is an almost copy-and-paste command for any Unix environment that uses a Bash shell (e.g., MacOS and Linux). It uses the minimal set of parameters required to run the collector--your instance may require more. Information about the referenced parameters follows, and a complete list of parameters is at the end of the guide. Edit the command by adding any other parameters you wish to use, and by replacing the values for all your parameters with your information as appropriate. Parameters required by the collector are in bold. When you are finished, run your command.

docker run -it --rm --mount type bind,source /tmp,target /dbt-input \
--mount type bind,source /tmp,target /dbt-output dwdbt -a <account> \
-d <profileFile> -g <target> -p <profile> /dbt-input /dbt-output

Collector runtime and troubleshooting

The catalog collector may run in several seconds to many minutes depending on the size and complexity of the system being crawled. If the catalog collector runs without issues, you should see no output on the terminal, but a new file that matching *.dwec.ttl should be in the directory you specified for the output. If there was an issue connecting or running the catalog collector, there will be either a stack trace or a *.log file. Both of those can be sent to support to investigate if the errors are not clear. A list of common issues and problems encountered when running the collectors is available here.

Automating updates to your metadata catalog

Keep your metadata catalog up to date using cron, your Docker container, or your automation tool of choice to run the catalog collector on a regular basis. Considerations for how often to schedule include:

Frequency of changes to the schema
Business criticality of up-to-date data

For organizations with schemas that change often and where surfacing the latest data is business critical, daily may be appropriate. For those with schemas that do not change often and which are less critical, weekly or even monthly may make sense. Consult your data.world representative for more tailored recommendations on how best to optimize your catalog collector processes.

In this section: