[Grafana](https://grafana.com/) allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture.

## Prerequisites

- Prometheus and MinIO configured as explained in [document here](https://github.com/minio/minio/blob/master/docs/metrics/prometheus/README.md).

      - "https://server3-pool1:9000/mnt/disk{1...4}/"
      - "https://server4-pool1:9000/mnt/disk{1...4}/"
    set-drive-count: 4 # Advanced option, must be used under guidance from MinIO team.
```

### Things to know

- Fields such as `version` and `pools` are mandatory, however all other fields are optional.
- Each pool expects a minimum of 2 nodes per pool, and unique non-repeating hosts for each argument.

//     compression). This is an optional area; by default, there should be no <SystemRecommendations> section in the
//     system.xml. Vendors can work with Veeam Product Management and the Alliances team on getting approval to integrate
//     specific system recommendations based on current support case statistics and storage performance possibilities.

)

// qProp contains analysis info about an SQL term.
type qProp struct {
	isAggregation, isRowFunc bool

	err error
}

// `combine` combines a pair of `qProp`s, so that errors are
// propagated correctly, and checks that an aggregation is not being
// combined with a row-function term.
func (p *qProp) combine(q qProp) {
	switch {
	case p.err != nil:
		// Do nothing

		if err != nil {
			return err
		}
	}
	return nil
}

func (e *UnaryTerm) aggregateRow(r Record, tableAlias string) error {
	if e.Negated != nil {
		return e.Negated.Term.aggregateRow(r, tableAlias)
	}
	return e.Primary.aggregateRow(r, tableAlias)
}

func (e *PrimaryTerm) aggregateRow(r Record, tableAlias string) error {
	switch {
	case e.ListExpr != nil: