Introducing Wildcard Matching for Tables

I am excited to introduce a feature that quietly rolled out today: wildcard matching for tables in CloudQuery config files!

Before

Before, the config passed to cloudquery sync had two options: either specify a wildcard (*) to match all tables, or specify a list of tables explicitly. So for example, if we wanted to include all EC2 resources, we would have to write a config like this:

tables:
  - aws_ec2_byoip_cidrs
  - aws_ec2_customer_gateways
  - aws_ec2_ebs_snapshots
  - aws_ec2_ebs_volumes
  - aws_ec2_egress_only_internet_gateways
  - aws_ec2_eips
  - aws_ec2_flow_logs
  - aws_ec2_hosts
# ... plus ~21 more, omitted here to keep this post short

As you can see, this was quite verbose!

Now

Config files now support wildcard matching. This means you can add a wildcard character (*) anywhere, and CloudQuery will include all tables that match. We can rewrite the previous EC2 config like this now:

tables:
  - 'aws_ec2_*'

Much easier! This also works in the skip_tables field. Let's say we want to include all EC2 tables, but not EBS-related tables. The config for this would now be:

tables:
  - 'aws_ec2_*'
skip_tables:
  - 'aws_ec2_ebs_*'

Skipping relations

With the same change also came the ability to skip relations. By default, if a table is matched, all of its descendants will also be synced. So for example, this config:

tables:
  - 'aws_ec2_transit_gateways'

will populate aws_ec2_transit_gateways, as well as all its descendent tables (aws_ec2_transit_gateway_attachments, aws_ec2_transit_gateway_route_tables, etc). This was always the case. But now, using skip tables, some (or all) of these relations can be individually skipped:

tables:
  - 'aws_ec2_transit_gateways'
skip_tables:
  - 'aws_ec2_transit_gateway_*' # will skip all child relations of aws_ec2_transit_gateways

Since child tables often have many rows and can require thousands API calls to fetch, skipping these when they're not needed can really speed up the time it takes to sync.

Keeping up-to-date

Another nice thing about wildcard matching is that you can use it to automatically sync new tables that get added to CloudQuery. Using our example from above, this config:

tables:
  - 'aws_ec2_*'

will not only sync all the EC2 tables today, it will also automatically include any new ones when the AWS integration version is upgraded. This is a good way to always have data from the latest APIs exposed by the cloud services you care about (along with reviewing CloudQuery integration changelogs once in a while, of course).

A note about versions

Wildcard matching was introduced as a backwards-compatible change, so no config updates are necessary when you upgrade to a version with support for wildcard matching. Wildcard matching is supported in the latest version of all official source integrations. Current versions for the big three cloud providers:

• AWS v33.24.0
• GCP v22.1.0
• Azure v21.0.0

See this link for a list of the latest versions of all official source integrations.

Conclusion

With wildcard matching support, we're hoping to reduce a lot of the boilerplate required to configure tables to sync with CloudQuery. If you have any thoughts or feedback about the feature, please share them as a GitHub issue or chat to us on our Community! ❤️

Want to see CloudQuery in action? Schedule a demo with our team or check out the platform documentation to learn more.