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package models
import (
"sort"
)
// Row represents a single row returned from the execution of a statement.
type Row struct {
Name string `json:"name,omitempty"`
Tags map[string]string `json:"tags,omitempty"`
Columns []string `json:"columns,omitempty"`
Values [][]interface{} `json:"values,omitempty"`
Partial bool `json:"partial,omitempty"`
}
// SameSeries returns true if r contains values for the same series as o.
func (r *Row) SameSeries(o *Row) bool {
return r.tagsHash() == o.tagsHash() && r.Name == o.Name
}
// tagsHash returns a hash of tag key/value pairs.
func (r *Row) tagsHash() uint64 {
h := NewInlineFNV64a()
keys := r.tagsKeys()
for _, k := range keys {
h.Write([]byte(k))
h.Write([]byte(r.Tags[k]))
}
return h.Sum64()
}
// tagKeys returns a sorted list of tag keys.
func (r *Row) tagsKeys() []string {
a := make([]string, 0, len(r.Tags))
for k := range r.Tags {
a = append(a, k)
}
sort.Strings(a)
return a
}
// Rows represents a collection of rows. Rows implements sort.Interface.
type Rows []*Row
// Len implements sort.Interface.
func (p Rows) Len() int { return len(p) }
// Less implements sort.Interface.
func (p Rows) Less(i, j int) bool {
// Sort by name first.
if p[i].Name != p[j].Name {
return p[i].Name < p[j].Name
}
// Sort by tag set hash. Tags don't have a meaningful sort order so we
// just compute a hash and sort by that instead. This allows the tests
// to receive rows in a predictable order every time.
return p[i].tagsHash() < p[j].tagsHash()
}
// Swap implements sort.Interface.
func (p Rows) Swap(i, j int) { p[i], p[j] = p[j], p[i] }
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