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mssql: additional integration tests

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Metric query of table having multiple value columns
Annotation query
pull/11298/head
Marcus Efraimsson 7 years ago
parent f0f8006d8d
commit e97b03e930
1 changed files with 215 additions and 22 deletions
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  1. 237
      pkg/tsdb/mssql/mssql_test.go

237
pkg/tsdb/mssql/mssql_test.go
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@ -2,6 +2,7 @@ package mssql
import (
"fmt"
"math/rand"
"strings"
"testing"
"time"
@ -15,8 +16,10 @@ import (
)
// To run this test, remove the Skip from SkipConvey
// and set up a MSSQL db named grafana_tests and a user/password grafana/Password!
// and set the variable below to the IP address of the database
// and set up a MSSQL db named grafanatest and a user/password grafana/Password!
// Use the docker/blocks/mssql_tests/docker-compose.yaml to spin up a
// preconfigured MSSQL server suitable for running these tests.
// If needed, change the variable below to the IP address of the database.
var serverIP string = "localhost"
func TestMSSQL(t *testing.T) {
@ -90,7 +93,7 @@ func TestMSSQL(t *testing.T) {
1.11, 2.22, 3.33,
'char10', 'varchar10', 'text',
N'☺nchar12☺', N'☺nvarchar12☺', N'☺text☺',
CAST('%s' AS DATETIME), CAST('%s' AS DATETIME2), CAST('%s' AS SMALLDATETIME), CAST('%s' AS DATE), CAST('%s' AS TIME), SWITCHOFFSET(CAST('%s' AS DATETIMEOFFSET), '-07:00')
CAST('%s' AS DATETIME), CAST('%s' AS DATETIME2), CAST('%s' AS SMALLDATETIME), CAST('%s' AS DATE), CAST('%s' AS TIME), SWITCHOFFSET(CAST('%s' AS DATETIMEOFFSET), '-07:00')
`, d, d2, d, d, d, d2)
_, err = sess.Exec(sql)
@ -146,14 +149,13 @@ func TestMSSQL(t *testing.T) {
})
})
Convey("Given a table with metrics", func() {
Convey("Given a table with metrics that lacks data for some series ", func() {
sql := `
IF OBJECT_ID('dbo.[metric]', 'U') IS NOT NULL
DROP TABLE dbo.[metric]
CREATE TABLE [metric] (
time datetime,
measurement nvarchar(100),
value int
)
`
@ -162,39 +164,34 @@ func TestMSSQL(t *testing.T) {
So(err, ShouldBeNil)
type metric struct {
Time time.Time
Measurement string
Value int64
Time time.Time
Value int64
}
series := []*metric{}
fromStart := time.Date(2018, 3, 15, 13, 0, 0, 0, time.UTC)
firstRange := genTimeRangeByInterval(fromStart, 10*time.Minute, 10*time.Second)
secondRange := genTimeRangeByInterval(fromStart.Add(20*time.Minute), 10*time.Minute, 10*time.Second)
for _, t := range firstRange {
series = append(series, &metric{
Time: t,
Measurement: "test",
Value: 15,
Time: t,
Value: 15,
})
}
for _, t := range secondRange {
series = append(series, &metric{
Time: t,
Measurement: "test",
Value: 20,
Time: t,
Value: 20,
})
}
dtFormat := "2006-01-02 15:04:05.999999999"
for _, s := range series {
sql = fmt.Sprintf(`
INSERT INTO metric (time, measurement, value)
VALUES(CAST('%s' AS DATETIME), '%s', %d)
`, s.Time.Format(dtFormat), s.Measurement, s.Value)
INSERT INTO metric (time, value)
VALUES(CAST('%s' AS DATETIME), %d)
`, s.Time.Format(dtFormat), s.Value)
_, err = sess.Exec(sql)
So(err, ShouldBeNil)
@ -205,7 +202,7 @@ func TestMSSQL(t *testing.T) {
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": "SELECT $__timeGroup(time, '5m') AS time, measurement as metric, avg(value) as value FROM metric GROUP BY $__timeGroup(time, '5m'), measurement ORDER BY 1",
"rawSql": "SELECT $__timeGroup(time, '5m') AS time, avg(value) as value FROM metric GROUP BY $__timeGroup(time, '5m') ORDER BY 1",
"format": "time_series",
}),
RefId: "A",
@ -237,7 +234,7 @@ func TestMSSQL(t *testing.T) {
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": "SELECT $__timeGroup(time, '5m', NULL) AS time, measurement as metric, avg(value) as value FROM metric GROUP BY $__timeGroup(time, '5m'), measurement ORDER BY 1",
"rawSql": "SELECT $__timeGroup(time, '5m', NULL) AS time, avg(value) as value FROM metric GROUP BY $__timeGroup(time, '5m') ORDER BY 1",
"format": "time_series",
}),
RefId: "A",
@ -284,7 +281,7 @@ func TestMSSQL(t *testing.T) {
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": "SELECT $__timeGroup(time, '5m', 1.5) AS time, measurement as metric, avg(value) as value FROM metric GROUP BY $__timeGroup(time, '5m'), measurement ORDER BY 1",
"rawSql": "SELECT $__timeGroup(time, '5m', 1.5) AS time, avg(value) as value FROM metric GROUP BY $__timeGroup(time, '5m') ORDER BY 1",
"format": "time_series",
}),
RefId: "A",
@ -306,6 +303,202 @@ func TestMSSQL(t *testing.T) {
So(points[6][0].Float64, ShouldEqual, 1.5)
})
})
Convey("Given a table with metrics having multiple values and measurements", func() {
sql := `
IF OBJECT_ID('dbo.[metric_values]', 'U') IS NOT NULL
DROP TABLE dbo.[metric_values]
CREATE TABLE [metric_values] (
time datetime,
measurement nvarchar(100),
valueOne int,
valueTwo int,
)
`
_, err := sess.Exec(sql)
So(err, ShouldBeNil)
type metricValues struct {
Time time.Time
Measurement string
ValueOne int64
ValueTwo int64
}
rand.Seed(time.Now().Unix())
rnd := func(min, max int64) int64 {
return rand.Int63n(max-min) + min
}
series := []*metricValues{}
for _, t := range genTimeRangeByInterval(fromStart.Add(-30*time.Minute), 90*time.Minute, 5*time.Minute) {
series = append(series, &metricValues{
Time: t,
Measurement: "Metric A",
ValueOne: rnd(0, 100),
ValueTwo: rnd(0, 100),
})
series = append(series, &metricValues{
Time: t,
Measurement: "Metric B",
ValueOne: rnd(0, 100),
ValueTwo: rnd(0, 100),
})
}
dtFormat := "2006-01-02 15:04:05"
for _, s := range series {
sql = fmt.Sprintf(`
INSERT metric_values (time, measurement, valueOne, valueTwo)
VALUES(CAST('%s' AS DATETIME), '%s', %d, %d)
`, s.Time.Format(dtFormat), s.Measurement, s.ValueOne, s.ValueTwo)
_, err = sess.Exec(sql)
So(err, ShouldBeNil)
}
Convey("When doing a metric query grouping by time and select metric column should return correct series", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": "SELECT $__timeEpoch(time), measurement as metric, valueOne, valueTwo FROM metric_values ORDER BY 1",
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(nil, nil, query)
queryResult := resp.Results["A"]
So(err, ShouldBeNil)
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Series), ShouldEqual, 4)
So(queryResult.Series[0].Name, ShouldEqual, "Metric A - valueOne")
So(queryResult.Series[1].Name, ShouldEqual, "Metric A - valueTwo")
So(queryResult.Series[2].Name, ShouldEqual, "Metric B - valueOne")
So(queryResult.Series[3].Name, ShouldEqual, "Metric B - valueTwo")
})
Convey("When doing a metric query grouping by time should return correct series", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": "SELECT $__timeEpoch(time), valueOne, valueTwo FROM metric_values ORDER BY 1",
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(nil, nil, query)
queryResult := resp.Results["A"]
So(err, ShouldBeNil)
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Series), ShouldEqual, 2)
So(queryResult.Series[0].Name, ShouldEqual, "valueOne")
So(queryResult.Series[1].Name, ShouldEqual, "valueTwo")
})
})
Convey("Given a table with event data", func() {
sql := `
IF OBJECT_ID('dbo.[event]', 'U') IS NOT NULL
DROP TABLE dbo.[event]
CREATE TABLE [event] (
time_sec bigint,
description nvarchar(100),
tags nvarchar(100),
)
`
_, err := sess.Exec(sql)
So(err, ShouldBeNil)
type event struct {
TimeSec int64
Description string
Tags string
}
events := []*event{}
for _, t := range genTimeRangeByInterval(fromStart.Add(-20*time.Minute), 60*time.Minute, 25*time.Minute) {
events = append(events, &event{
TimeSec: t.Unix(),
Description: "Someone deployed something",
Tags: "deploy",
})
events = append(events, &event{
TimeSec: t.Add(5 * time.Minute).Unix(),
Description: "New support ticket registered",
Tags: "ticket",
})
}
for _, e := range events {
sql = fmt.Sprintf(`
INSERT [event] (time_sec, description, tags)
VALUES(%d, '%s', '%s')
`, e.TimeSec, e.Description, e.Tags)
_, err = sess.Exec(sql)
So(err, ShouldBeNil)
}
Convey("When doing an annotation query of deploy events should return expected result", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": "SELECT time_sec as time, description as [text], tags FROM [event] WHERE $__unixEpochFilter(time_sec) AND tags='deploy' ORDER BY 1 ASC",
"format": "table",
}),
RefId: "Deploys",
},
},
TimeRange: &tsdb.TimeRange{
From: fmt.Sprintf("%v", fromStart.Add(-20*time.Minute).Unix()*1000),
To: fmt.Sprintf("%v", fromStart.Add(40*time.Minute).Unix()*1000),
},
}
resp, err := endpoint.Query(nil, nil, query)
queryResult := resp.Results["Deploys"]
So(err, ShouldBeNil)
So(len(queryResult.Tables[0].Rows), ShouldEqual, 3)
})
Convey("When doing an annotation query of ticket events should return expected result", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": "SELECT time_sec as time, description as [text], tags FROM [event] WHERE $__unixEpochFilter(time_sec) AND tags='ticket' ORDER BY 1 ASC",
"format": "table",
}),
RefId: "Tickets",
},
},
TimeRange: &tsdb.TimeRange{
From: fmt.Sprintf("%v", fromStart.Add(-20*time.Minute).Unix()*1000),
To: fmt.Sprintf("%v", fromStart.Add(40*time.Minute).Unix()*1000),
},
}
resp, err := endpoint.Query(nil, nil, query)
queryResult := resp.Results["Tickets"]
So(err, ShouldBeNil)
So(len(queryResult.Tables[0].Rows), ShouldEqual, 3)
})
})
})
}

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