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* fix(dedup-prom): added check for duplicated samples data * fix(dedup-prom): added test cases for duplicated samples data * fix(dedup-prom): added test cases for duplicated samples data
114 lines
3.6 KiB
Go
114 lines
3.6 KiB
Go
package clickhouseprometheus
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import (
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"context"
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"github.com/SigNoz/signoz/pkg/telemetrystore/telemetrystoretest"
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cmock "github.com/srikanthccv/ClickHouse-go-mock"
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"testing"
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"github.com/DATA-DOG/go-sqlmock"
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"github.com/SigNoz/signoz/pkg/telemetrystore"
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"github.com/prometheus/prometheus/prompb"
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"github.com/stretchr/testify/assert"
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)
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// Test for querySamples method
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func TestClient_QuerySamples(t *testing.T) {
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ctx := context.Background()
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cols := make([]cmock.ColumnType, 0)
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cols = append(cols, cmock.ColumnType{Name: "metric_name", Type: "String"})
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cols = append(cols, cmock.ColumnType{Name: "fingerprint", Type: "UInt64"})
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cols = append(cols, cmock.ColumnType{Name: "unix_milli", Type: "Int64"})
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cols = append(cols, cmock.ColumnType{Name: "value", Type: "Float64"})
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cols = append(cols, cmock.ColumnType{Name: "flags", Type: "UInt32"})
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tests := []struct {
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name string
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start int64
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end int64
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fingerprints map[uint64][]prompb.Label
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metricName string
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subQuery string
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args []any
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setupMock func(mock cmock.ClickConnMockCommon, args ...any)
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expectedTimeSeries int
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expectError bool
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description string
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result []*prompb.TimeSeries
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}{
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{
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name: "successful samples retrieval",
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start: int64(1000),
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end: int64(2000),
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fingerprints: map[uint64][]prompb.Label{
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123: {
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{Name: "__name__", Value: "cpu_usage"},
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{Name: "instance", Value: "localhost:9090"},
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},
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456: {
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{Name: "__name__", Value: "cpu_usage"},
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{Name: "instance", Value: "localhost:9091"},
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},
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},
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metricName: "cpu_usage",
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subQuery: "SELECT metric_name, fingerprint, unix_milli, value, flags",
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expectedTimeSeries: 2,
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expectError: false,
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description: "Should successfully retrieve samples for multiple time series",
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setupMock: func(mock cmock.ClickConnMockCommon, args ...any) {
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values := [][]interface{}{
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{"cpu_usage", uint64(123), int64(1001), float64(1.1), uint32(0)},
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{"cpu_usage", uint64(123), int64(1001), float64(1.1), uint32(0)},
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{"cpu_usage", uint64(456), int64(1001), float64(1.2), uint32(0)},
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{"cpu_usage", uint64(456), int64(1001), float64(1.2), uint32(0)},
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{"cpu_usage", uint64(456), int64(1001), float64(1.2), uint32(0)},
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}
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mock.ExpectQuery("SELECT metric_name, fingerprint, unix_milli, value, flags").WithArgs(args...).WillReturnRows(
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cmock.NewRows(cols, values),
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)
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},
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result: []*prompb.TimeSeries{
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{
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Labels: []prompb.Label{
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{Name: "__name__", Value: "cpu_usage"},
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{Name: "instance", Value: "localhost:9090"},
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},
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Samples: []prompb.Sample{
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{Timestamp: 1001, Value: 1.1},
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},
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},
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{
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Labels: []prompb.Label{
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{Name: "__name__", Value: "cpu_usage"},
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{Name: "instance", Value: "localhost:9091"},
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},
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Samples: []prompb.Sample{
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{Timestamp: 1001, Value: 1.2},
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},
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},
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},
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},
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}
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for _, tt := range tests {
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t.Run(tt.name, func(t *testing.T) {
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telemetryStore := telemetrystoretest.New(telemetrystore.Config{Provider: "clickhouse"}, sqlmock.QueryMatcherRegexp)
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readClient := client{telemetryStore: telemetryStore}
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if tt.setupMock != nil {
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tt.setupMock(telemetryStore.Mock(), tt.metricName, tt.start, tt.end)
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}
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result, err := readClient.querySamples(ctx, tt.start, tt.end, tt.fingerprints, tt.metricName, tt.subQuery, tt.args)
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if tt.expectError {
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assert.Error(t, err)
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assert.Nil(t, result)
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} else {
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assert.NoError(t, err)
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assert.Equal(t, tt.expectedTimeSeries, len(result))
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assert.Equal(t, result, tt.result)
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}
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})
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}
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}
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