Files
grafana/pkg/tsdb/mssql/mssql_test.go
Marcus Efraimsson e97b03e930 mssql: additional integration tests
Metric query of table having multiple value columns
Annotation query
2018-03-16 14:42:54 +01:00

531 lines
16 KiB
Go

package mssql
import (
"fmt"
"math/rand"
"strings"
"testing"
"time"
"github.com/go-xorm/xorm"
"github.com/grafana/grafana/pkg/components/simplejson"
"github.com/grafana/grafana/pkg/log"
"github.com/grafana/grafana/pkg/services/sqlstore/sqlutil"
"github.com/grafana/grafana/pkg/tsdb"
. "github.com/smartystreets/goconvey/convey"
)
// To run this test, remove the Skip from SkipConvey
// 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) {
SkipConvey("MSSQL", t, func() {
x := InitMSSQLTestDB(t)
endpoint := &MssqlQueryEndpoint{
sqlEngine: &tsdb.DefaultSqlEngine{
MacroEngine: NewMssqlMacroEngine(),
XormEngine: x,
},
log: log.New("tsdb.mssql"),
}
sess := x.NewSession()
defer sess.Close()
fromStart := time.Date(2018, 3, 15, 13, 0, 0, 0, time.UTC)
Convey("Given a table with different native data types", func() {
sql := `
IF OBJECT_ID('dbo.[mssql_types]', 'U') IS NOT NULL
DROP TABLE dbo.[mssql_types]
CREATE TABLE [mssql_types] (
c_bit bit,
c_tinyint tinyint,
c_smallint smallint,
c_int int,
c_bigint bigint,
c_money money,
c_smallmoney smallmoney,
c_numeric numeric(10,5),
c_real real,
c_decimal decimal(10,2),
c_float float,
c_char char(10),
c_varchar varchar(10),
c_text text,
c_nchar nchar(12),
c_nvarchar nvarchar(12),
c_ntext ntext,
c_datetime datetime,
c_datetime2 datetime2,
c_smalldatetime smalldatetime,
c_date date,
c_time time,
c_datetimeoffset datetimeoffset
)
`
_, err := sess.Exec(sql)
So(err, ShouldBeNil)
dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC)
dtFormat := "2006-01-02 15:04:05.999999999"
d := dt.Format(dtFormat)
dt2 := time.Date(2018, 3, 14, 21, 20, 6, 8896406e2, time.UTC)
dt2Format := "2006-01-02 15:04:05.999999999 -07:00"
d2 := dt2.Format(dt2Format)
sql = fmt.Sprintf(`
INSERT INTO [mssql_types]
SELECT
1, 5, 20020, 980300, 1420070400, '$20000.15', '£2.15', 12345.12,
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')
`, d, d2, d, d, d, d2)
_, err = sess.Exec(sql)
So(err, ShouldBeNil)
Convey("When doing a table query should map MSSQL column types to Go types", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": "SELECT * FROM mssql_types",
"format": "table",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(nil, nil, query)
queryResult := resp.Results["A"]
So(err, ShouldBeNil)
column := queryResult.Tables[0].Rows[0]
So(column[0].(bool), ShouldEqual, true)
So(column[1].(int64), ShouldEqual, 5)
So(column[2].(int64), ShouldEqual, 20020)
So(column[3].(int64), ShouldEqual, 980300)
So(column[4].(int64), ShouldEqual, 1420070400)
So(column[5].(float64), ShouldEqual, 20000.15)
So(column[6].(float64), ShouldEqual, 2.15)
So(column[7].(float64), ShouldEqual, 12345.12)
So(column[8].(float64), ShouldEqual, 1.1100000143051147)
So(column[9].(float64), ShouldEqual, 2.22)
So(column[10].(float64), ShouldEqual, 3.33)
So(column[11].(string), ShouldEqual, "char10 ")
So(column[12].(string), ShouldEqual, "varchar10")
So(column[13].(string), ShouldEqual, "text")
So(column[14].(string), ShouldEqual, "☺nchar12☺ ")
So(column[15].(string), ShouldEqual, "☺nvarchar12☺")
So(column[16].(string), ShouldEqual, "☺text☺")
So(column[17].(time.Time), ShouldEqual, dt)
So(column[18].(time.Time), ShouldEqual, dt2)
So(column[19].(time.Time), ShouldEqual, dt.Truncate(time.Minute))
So(column[20].(time.Time), ShouldEqual, dt.Truncate(24*time.Hour))
So(column[21].(time.Time), ShouldEqual, time.Date(1, 1, 1, dt.Hour(), dt.Minute(), dt.Second(), dt.Nanosecond(), time.UTC))
So(column[22].(time.Time), ShouldEqual, dt2.In(time.FixedZone("UTC", int(-7*time.Hour))))
})
})
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,
value int
)
`
_, err := sess.Exec(sql)
So(err, ShouldBeNil)
type metric struct {
Time time.Time
Value int64
}
series := []*metric{}
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,
Value: 15,
})
}
for _, t := range secondRange {
series = append(series, &metric{
Time: t,
Value: 20,
})
}
dtFormat := "2006-01-02 15:04:05.999999999"
for _, s := range series {
sql = fmt.Sprintf(`
INSERT INTO metric (time, value)
VALUES(CAST('%s' AS DATETIME), %d)
`, s.Time.Format(dtFormat), s.Value)
_, err = sess.Exec(sql)
So(err, ShouldBeNil)
}
Convey("When doing a metric query using timeGroup", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"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",
},
},
}
resp, err := endpoint.Query(nil, nil, query)
queryResult := resp.Results["A"]
So(err, ShouldBeNil)
So(queryResult.Error, ShouldBeNil)
points := queryResult.Series[0].Points
So(len(points), ShouldEqual, 4)
actualValueFirst := points[0][0].Float64
actualTimeFirst := time.Unix(int64(points[0][1].Float64)/1000, 0)
So(actualValueFirst, ShouldEqual, 15)
So(actualTimeFirst, ShouldEqual, fromStart)
actualValueLast := points[3][0].Float64
actualTimeLast := time.Unix(int64(points[3][1].Float64)/1000, 0)
So(actualValueLast, ShouldEqual, 20)
So(actualTimeLast, ShouldEqual, fromStart.Add(25*time.Minute))
})
Convey("When doing a metric query using timeGroup with NULL fill enabled", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"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",
},
},
TimeRange: &tsdb.TimeRange{
From: fmt.Sprintf("%v", fromStart.Unix()*1000),
To: fmt.Sprintf("%v", fromStart.Add(34*time.Minute).Unix()*1000),
},
}
resp, err := endpoint.Query(nil, nil, query)
queryResult := resp.Results["A"]
So(err, ShouldBeNil)
So(queryResult.Error, ShouldBeNil)
points := queryResult.Series[0].Points
So(len(points), ShouldEqual, 7)
actualValueFirst := points[0][0].Float64
actualTimeFirst := time.Unix(int64(points[0][1].Float64)/1000, 0)
So(actualValueFirst, ShouldEqual, 15)
So(actualTimeFirst, ShouldEqual, fromStart)
actualNullPoint := points[3][0]
actualNullTime := time.Unix(int64(points[3][1].Float64)/1000, 0)
So(actualNullPoint.Valid, ShouldBeFalse)
So(actualNullTime, ShouldEqual, fromStart.Add(15*time.Minute))
actualValueLast := points[5][0].Float64
actualTimeLast := time.Unix(int64(points[5][1].Float64)/1000, 0)
So(actualValueLast, ShouldEqual, 20)
So(actualTimeLast, ShouldEqual, fromStart.Add(25*time.Minute))
actualLastNullPoint := points[6][0]
actualLastNullTime := time.Unix(int64(points[6][1].Float64)/1000, 0)
So(actualLastNullPoint.Valid, ShouldBeFalse)
So(actualLastNullTime, ShouldEqual, fromStart.Add(30*time.Minute))
})
Convey("When doing a metric query using timeGroup with float fill enabled", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"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",
},
},
TimeRange: &tsdb.TimeRange{
From: fmt.Sprintf("%v", fromStart.Unix()*1000),
To: fmt.Sprintf("%v", fromStart.Add(34*time.Minute).Unix()*1000),
},
}
resp, err := endpoint.Query(nil, nil, query)
queryResult := resp.Results["A"]
So(err, ShouldBeNil)
So(queryResult.Error, ShouldBeNil)
points := queryResult.Series[0].Points
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)
})
})
})
}
func InitMSSQLTestDB(t *testing.T) *xorm.Engine {
x, err := xorm.NewEngine(sqlutil.TestDB_Mssql.DriverName, strings.Replace(sqlutil.TestDB_Mssql.ConnStr, "localhost", serverIP, 1))
// x.ShowSQL()
if err != nil {
t.Fatalf("Failed to init mssql db %v", err)
}
sqlutil.CleanDB(x)
return x
}
func genTimeRangeByInterval(from time.Time, duration time.Duration, interval time.Duration) []time.Time {
durationSec := int64(duration.Seconds())
intervalSec := int64(interval.Seconds())
timeRange := []time.Time{}
for i := int64(0); i < durationSec; i += intervalSec {
timeRange = append(timeRange, from)
from = from.Add(time.Duration(int64(time.Second) * intervalSec))
}
return timeRange
}