-
Notifications
You must be signed in to change notification settings - Fork 3
/
columns_metrics.go
176 lines (145 loc) · 5.75 KB
/
columns_metrics.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
package chstorage
import (
"github.com/ClickHouse/ch-go/proto"
)
type pointColumns struct {
name *proto.ColLowCardinality[string]
nameNormalized *proto.ColLowCardinality[string]
timestamp *proto.ColDateTime64
mapping proto.ColEnum8
value proto.ColFloat64
flags proto.ColUInt8
attributes *Attributes
resource *Attributes
}
func newPointColumns() *pointColumns {
return &pointColumns{
name: new(proto.ColStr).LowCardinality(),
nameNormalized: new(proto.ColStr).LowCardinality(),
timestamp: new(proto.ColDateTime64).WithPrecision(proto.PrecisionNano),
attributes: NewAttributes(colAttrs),
resource: NewAttributes(colResource),
}
}
func (c *pointColumns) Columns() Columns {
return MergeColumns(Columns{
{Name: "name", Data: c.name},
{Name: "name_normalized", Data: c.nameNormalized},
{Name: "timestamp", Data: c.timestamp},
{Name: "mapping", Data: proto.Wrap(&c.mapping, metricMappingDDL)},
{Name: "value", Data: &c.value},
{Name: "flags", Data: &c.flags},
}, c.attributes.Columns(), c.resource.Columns())
}
func (c *pointColumns) Input() proto.Input { return c.Columns().Input() }
func (c *pointColumns) Result() proto.Results { return c.Columns().Result() }
type expHistogramColumns struct {
name *proto.ColLowCardinality[string]
nameNormalized *proto.ColLowCardinality[string]
timestamp *proto.ColDateTime64
count proto.ColUInt64
sum *proto.ColNullable[float64]
min *proto.ColNullable[float64]
max *proto.ColNullable[float64]
scale proto.ColInt32
zerocount proto.ColUInt64
positiveOffset proto.ColInt32
positiveBucketCounts *proto.ColArr[uint64]
negativeOffset proto.ColInt32
negativeBucketCounts *proto.ColArr[uint64]
flags proto.ColUInt8
attributes *Attributes
resource *Attributes
}
func newExpHistogramColumns() *expHistogramColumns {
return &expHistogramColumns{
name: new(proto.ColStr).LowCardinality(),
nameNormalized: new(proto.ColStr).LowCardinality(),
timestamp: new(proto.ColDateTime64).WithPrecision(proto.PrecisionNano),
sum: new(proto.ColFloat64).Nullable(),
min: new(proto.ColFloat64).Nullable(),
max: new(proto.ColFloat64).Nullable(),
positiveBucketCounts: new(proto.ColUInt64).Array(),
negativeBucketCounts: new(proto.ColUInt64).Array(),
attributes: NewAttributes(colAttrs),
resource: NewAttributes(colResource),
}
}
func (c *expHistogramColumns) Columns() Columns {
return MergeColumns(Columns{
{Name: "name", Data: c.name},
{Name: "name_normalized", Data: c.nameNormalized},
{Name: "timestamp", Data: c.timestamp},
{Name: "exp_histogram_count", Data: &c.count},
{Name: "exp_histogram_sum", Data: c.sum},
{Name: "exp_histogram_min", Data: c.min},
{Name: "exp_histogram_max", Data: c.max},
{Name: "exp_histogram_scale", Data: &c.scale},
{Name: "exp_histogram_zerocount", Data: &c.zerocount},
{Name: "exp_histogram_positive_offset", Data: &c.positiveOffset},
{Name: "exp_histogram_positive_bucket_counts", Data: c.positiveBucketCounts},
{Name: "exp_histogram_negative_offset", Data: &c.negativeOffset},
{Name: "exp_histogram_negative_bucket_counts", Data: c.negativeBucketCounts},
{Name: "flags", Data: &c.flags},
}, c.attributes.Columns(), c.resource.Columns())
}
func (c *expHistogramColumns) Input() proto.Input { return c.Columns().Input() }
func (c *expHistogramColumns) Result() proto.Results { return c.Columns().Result() }
type labelsColumns struct {
name *proto.ColLowCardinality[string]
nameNormalized *proto.ColLowCardinality[string]
value proto.ColStr
valueNormalized proto.ColStr
}
func newLabelsColumns() *labelsColumns {
return &labelsColumns{
name: new(proto.ColStr).LowCardinality(),
nameNormalized: new(proto.ColStr).LowCardinality(),
}
}
func (c *labelsColumns) Columns() Columns {
return Columns{
{Name: "name", Data: c.name},
{Name: "name_normalized", Data: c.nameNormalized},
{Name: "value", Data: &c.value},
{Name: "value_normalized", Data: &c.valueNormalized},
}
}
func (c *labelsColumns) Input() proto.Input { return c.Columns().Input() }
func (c *labelsColumns) Result() proto.Results { return c.Columns().Result() }
type exemplarColumns struct {
name *proto.ColLowCardinality[string]
nameNormalized *proto.ColLowCardinality[string]
timestamp *proto.ColDateTime64
filteredAttributes proto.ColBytes
exemplarTimestamp *proto.ColDateTime64
value proto.ColFloat64
spanID proto.ColFixedStr8
traceID proto.ColFixedStr16
attributes *Attributes
resource *Attributes
}
func newExemplarColumns() *exemplarColumns {
return &exemplarColumns{
name: new(proto.ColStr).LowCardinality(),
nameNormalized: new(proto.ColStr).LowCardinality(),
timestamp: new(proto.ColDateTime64).WithPrecision(proto.PrecisionNano),
exemplarTimestamp: new(proto.ColDateTime64).WithPrecision(proto.PrecisionNano),
attributes: NewAttributes(colAttrs),
resource: NewAttributes(colResource),
}
}
func (c *exemplarColumns) Columns() Columns {
return MergeColumns(Columns{
{Name: "name", Data: c.name},
{Name: "name_normalized", Data: c.nameNormalized},
{Name: "timestamp", Data: c.timestamp},
{Name: "filtered_attributes", Data: &c.filteredAttributes},
{Name: "exemplar_timestamp", Data: c.exemplarTimestamp},
{Name: "value", Data: &c.value},
{Name: "span_id", Data: &c.spanID},
{Name: "trace_id", Data: &c.traceID},
}, c.attributes.Columns(), c.resource.Columns())
}
func (c *exemplarColumns) Input() proto.Input { return c.Columns().Input() }
func (c *exemplarColumns) Result() proto.Results { return c.Columns().Result() }