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grafana/pkg/tsdb/mssql/mssql_test.go

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package mssql
import (
"context"
"fmt"
"math/rand"
"strings"
"testing"
"time"
"github.com/grafana/grafana/pkg/components/securejsondata"
"github.com/grafana/grafana/pkg/components/simplejson"
"github.com/grafana/grafana/pkg/models"
"github.com/grafana/grafana/pkg/services/sqlstore/sqlutil"
"github.com/grafana/grafana/pkg/tsdb"
"github.com/grafana/grafana/pkg/tsdb/sqleng"
. "github.com/smartystreets/goconvey/convey"
"xorm.io/xorm"
)
// To run this test, remove the Skip from SkipConvey
// The tests require 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.
// There is also a datasource and dashboard provisioned by devenv scripts that you can
// use to verify that the generated data are visualized as expected, see
// devenv/README.md for setup instructions.
// If needed, change the variable below to the IP address of the database.
var serverIP = "localhost"
func TestMSSQL(t *testing.T) {
SkipConvey("MSSQL", t, func() {
x := InitMSSQLTestDB(t)
origXormEngine := sqleng.NewXormEngine
sqleng.NewXormEngine = func(d, c string) (*xorm.Engine, error) {
return x, nil
}
origInterpolate := sqleng.Interpolate
sqleng.Interpolate = func(query *tsdb.Query, timeRange *tsdb.TimeRange, sql string) (string, error) {
return sql, nil
}
endpoint, err := newMssqlQueryEndpoint(&models.DataSource{
JsonData: simplejson.New(),
SecureJsonData: securejsondata.SecureJsonData{},
})
So(err, ShouldBeNil)
sess := x.NewSession()
fromStart := time.Date(2018, 3, 15, 13, 0, 0, 0, time.UTC).In(time.Local)
Reset(func() {
sess.Close()
sqleng.NewXormEngine = origXormEngine
sqleng.Interpolate = origInterpolate
})
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,
c_uuid uniqueidentifier
)
`
_, 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)
uuid := "B33D42A3-AC5A-4D4C-81DD-72F3D5C49025"
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'),
CONVERT(uniqueidentifier, '%s')
`, d, d2, d, d, d, d2, uuid)
_, 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(context.Background(), 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-7", int(-7*60*60))))
So(column[23].(string), ShouldEqual, uuid)
})
})
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,
})
}
_, err = sess.InsertMulti(series)
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(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
points := queryResult.Series[0].Points
// without fill this should result in 4 buckets
So(len(points), ShouldEqual, 4)
dt := fromStart
for i := 0; i < 2; i++ {
aValue := points[i][0].Float64
aTime := time.Unix(int64(points[i][1].Float64)/1000, 0)
So(aValue, ShouldEqual, 15)
So(aTime, ShouldEqual, dt)
dt = dt.Add(5 * time.Minute)
}
// adjust for 10 minute gap between first and second set of points
dt = dt.Add(10 * time.Minute)
for i := 2; i < 4; i++ {
aValue := points[i][0].Float64
aTime := time.Unix(int64(points[i][1].Float64)/1000, 0)
So(aValue, ShouldEqual, 20)
So(aTime, ShouldEqual, dt)
dt = dt.Add(5 * 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(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
points := queryResult.Series[0].Points
So(len(points), ShouldEqual, 7)
dt := fromStart
for i := 0; i < 2; i++ {
aValue := points[i][0].Float64
aTime := time.Unix(int64(points[i][1].Float64)/1000, 0)
So(aValue, ShouldEqual, 15)
So(aTime, ShouldEqual, dt)
dt = dt.Add(5 * time.Minute)
}
// check for NULL values inserted by fill
So(points[2][0].Valid, ShouldBeFalse)
So(points[3][0].Valid, ShouldBeFalse)
// adjust for 10 minute gap between first and second set of points
dt = dt.Add(10 * time.Minute)
for i := 4; i < 6; i++ {
aValue := points[i][0].Float64
aTime := time.Unix(int64(points[i][1].Float64)/1000, 0)
So(aValue, ShouldEqual, 20)
So(aTime, ShouldEqual, dt)
dt = dt.Add(5 * time.Minute)
}
So(points[6][0].Valid, ShouldBeFalse)
})
Convey("When doing a metric query using timeGroup and $__interval", func() {
mockInterpolate := sqleng.Interpolate
sqleng.Interpolate = origInterpolate
Reset(func() {
sqleng.Interpolate = mockInterpolate
})
Convey("Should replace $__interval", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
DataSource: &models.DataSource{},
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": "SELECT $__timeGroup(time, $__interval) AS time, avg(value) as value FROM metric GROUP BY $__timeGroup(time, $__interval) ORDER BY 1",
"format": "time_series",
}),
RefId: "A",
},
},
TimeRange: &tsdb.TimeRange{
From: fmt.Sprintf("%v", fromStart.Unix()*1000),
To: fmt.Sprintf("%v", fromStart.Add(30*time.Minute).Unix()*1000),
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(queryResult.Meta.Get(sqleng.MetaKeyExecutedQueryString).MustString(), ShouldEqual, "SELECT FLOOR(DATEDIFF(second, '1970-01-01', time)/60)*60 AS time, avg(value) as value FROM metric GROUP BY FLOOR(DATEDIFF(second, '1970-01-01', time)/60)*60 ORDER BY 1")
})
})
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(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
points := queryResult.Series[0].Points
So(points[3][0].Float64, ShouldEqual, 1.5)
})
})
Convey("Given a table with metrics having multiple values and measurements", func() {
type metric_values struct {
Time time.Time
TimeInt64 int64 `xorm:"bigint 'timeInt64' not null"`
TimeInt64Nullable *int64 `xorm:"bigint 'timeInt64Nullable' null"`
TimeFloat64 float64 `xorm:"float 'timeFloat64' not null"`
TimeFloat64Nullable *float64 `xorm:"float 'timeFloat64Nullable' null"`
TimeInt32 int32 `xorm:"int(11) 'timeInt32' not null"`
TimeInt32Nullable *int32 `xorm:"int(11) 'timeInt32Nullable' null"`
TimeFloat32 float32 `xorm:"float(11) 'timeFloat32' not null"`
TimeFloat32Nullable *float32 `xorm:"float(11) 'timeFloat32Nullable' null"`
Measurement string
ValueOne int64 `xorm:"integer 'valueOne'"`
ValueTwo int64 `xorm:"integer 'valueTwo'"`
}
if exist, err := sess.IsTableExist(metric_values{}); err != nil || exist {
So(err, ShouldBeNil)
err = sess.DropTable(metric_values{})
So(err, ShouldBeNil)
}
err := sess.CreateTable(metric_values{})
So(err, ShouldBeNil)
rand.Seed(time.Now().Unix())
rnd := func(min, max int64) int64 {
return rand.Int63n(max-min) + min
}
var tInitial time.Time
series := []*metric_values{}
for i, t := range genTimeRangeByInterval(fromStart.Add(-30*time.Minute), 90*time.Minute, 5*time.Minute) {
if i == 0 {
tInitial = t
}
tSeconds := t.Unix()
tSecondsInt32 := int32(tSeconds)
tSecondsFloat32 := float32(tSeconds)
tMilliseconds := tSeconds * 1e3
tMillisecondsFloat := float64(tMilliseconds)
first := metric_values{
Time: t,
TimeInt64: tMilliseconds,
TimeInt64Nullable: &(tMilliseconds),
TimeFloat64: tMillisecondsFloat,
TimeFloat64Nullable: &tMillisecondsFloat,
TimeInt32: tSecondsInt32,
TimeInt32Nullable: &tSecondsInt32,
TimeFloat32: tSecondsFloat32,
TimeFloat32Nullable: &tSecondsFloat32,
Measurement: "Metric A",
ValueOne: rnd(0, 100),
ValueTwo: rnd(0, 100),
}
second := first
second.Measurement = "Metric B"
second.ValueOne = rnd(0, 100)
second.ValueTwo = rnd(0, 100)
series = append(series, &first)
series = append(series, &second)
}
_, err = sess.InsertMulti(series)
So(err, ShouldBeNil)
Convey("When doing a metric query using epoch (int64) as time column and value column (int64) should return metric with time in milliseconds", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT TOP 1 timeInt64 as time, timeInt64 FROM metric_values ORDER BY time`,
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Series), ShouldEqual, 1)
So(queryResult.Series[0].Points[0][1].Float64, ShouldEqual, float64(tInitial.UnixNano()/1e6))
})
Convey("When doing a metric query using epoch (int64 nullable) as time column and value column (int64 nullable) should return metric with time in milliseconds", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT TOP 1 timeInt64Nullable as time, timeInt64Nullable FROM metric_values ORDER BY time`,
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Series), ShouldEqual, 1)
So(queryResult.Series[0].Points[0][1].Float64, ShouldEqual, float64(tInitial.UnixNano()/1e6))
})
Convey("When doing a metric query using epoch (float64) as time column and value column (float64) should return metric with time in milliseconds", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT TOP 1 timeFloat64 as time, timeFloat64 FROM metric_values ORDER BY time`,
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Series), ShouldEqual, 1)
So(queryResult.Series[0].Points[0][1].Float64, ShouldEqual, float64(tInitial.UnixNano()/1e6))
})
Convey("When doing a metric query using epoch (float64 nullable) as time column and value column (float64 nullable) should return metric with time in milliseconds", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT TOP 1 timeFloat64Nullable as time, timeFloat64Nullable FROM metric_values ORDER BY time`,
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Series), ShouldEqual, 1)
So(queryResult.Series[0].Points[0][1].Float64, ShouldEqual, float64(tInitial.UnixNano()/1e6))
})
Convey("When doing a metric query using epoch (int32) as time column and value column (int32) should return metric with time in milliseconds", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT TOP 1 timeInt32 as time, timeInt32 FROM metric_values ORDER BY time`,
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Series), ShouldEqual, 1)
So(queryResult.Series[0].Points[0][1].Float64, ShouldEqual, float64(tInitial.UnixNano()/1e6))
})
Convey("When doing a metric query using epoch (int32 nullable) as time column and value column (int32 nullable) should return metric with time in milliseconds", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT TOP 1 timeInt32Nullable as time, timeInt32Nullable FROM metric_values ORDER BY time`,
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Series), ShouldEqual, 1)
So(queryResult.Series[0].Points[0][1].Float64, ShouldEqual, float64(tInitial.UnixNano()/1e6))
})
Convey("When doing a metric query using epoch (float32) as time column and value column (float32) should return metric with time in milliseconds", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT TOP 1 timeFloat32 as time, timeFloat32 FROM metric_values ORDER BY time`,
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Series), ShouldEqual, 1)
So(queryResult.Series[0].Points[0][1].Float64, ShouldEqual, float64(float32(tInitial.Unix()))*1e3)
})
Convey("When doing a metric query using epoch (float32 nullable) as time column and value column (float32 nullable) should return metric with time in milliseconds", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT TOP 1 timeFloat32Nullable as time, timeFloat32Nullable FROM metric_values ORDER BY time`,
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Series), ShouldEqual, 1)
So(queryResult.Series[0].Points[0][1].Float64, ShouldEqual, float64(float32(tInitial.Unix()))*1e3)
})
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 + ' - value one' as metric, valueOne FROM metric_values ORDER BY 1",
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Series), ShouldEqual, 2)
So(queryResult.Series[0].Name, ShouldEqual, "Metric A - value one")
So(queryResult.Series[1].Name, ShouldEqual, "Metric B - value one")
})
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(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
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("When doing a metric query with metric column and multiple value columns", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": "SELECT $__timeEpoch(time), measurement, valueOne, valueTwo FROM metric_values ORDER BY 1",
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
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 query with timeFrom,timeTo,unixEpochFrom,unixEpochTo macros", func() {
sqleng.Interpolate = origInterpolate
query := &tsdb.TsdbQuery{
TimeRange: tsdb.NewFakeTimeRange("5m", "now", fromStart),
Queries: []*tsdb.Query{
{
DataSource: &models.DataSource{JsonData: simplejson.New()},
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT time FROM metric_values WHERE time > $__timeFrom() OR time < $__timeFrom() OR 1 < $__unixEpochFrom() OR $__unixEpochTo() > 1 ORDER BY 1`,
"format": "time_series",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(queryResult.Meta.Get(sqleng.MetaKeyExecutedQueryString).MustString(), ShouldEqual, "SELECT time FROM metric_values WHERE time > '2018-03-15T12:55:00Z' OR time < '2018-03-15T12:55:00Z' OR 1 < 1521118500 OR 1521118800 > 1 ORDER BY 1")
})
Convey("Given a stored procedure that takes @from and @to in epoch time", func() {
sql := `
IF object_id('sp_test_epoch') IS NOT NULL
DROP PROCEDURE sp_test_epoch
`
_, err := sess.Exec(sql)
So(err, ShouldBeNil)
sql = `
CREATE PROCEDURE sp_test_epoch(
@from int,
@to int,
@interval nvarchar(50) = '5m',
@metric nvarchar(200) = 'ALL'
) AS
BEGIN
DECLARE @dInterval int
SELECT @dInterval = 300
IF @interval = '10m'
SELECT @dInterval = 600
SELECT
CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval as time,
measurement as metric,
avg(valueOne) as valueOne,
avg(valueTwo) as valueTwo
FROM
metric_values
WHERE
time BETWEEN DATEADD(s, @from, '1970-01-01') AND DATEADD(s, @to, '1970-01-01') AND
(@metric = 'ALL' OR measurement = @metric)
GROUP BY
CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval,
measurement
ORDER BY 1
END
`
_, err = sess.Exec(sql)
So(err, ShouldBeNil)
Convey("When doing a metric query using stored procedure should return correct result", func() {
sqleng.Interpolate = origInterpolate
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
DataSource: &models.DataSource{JsonData: simplejson.New()},
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `DECLARE
@from int = $__unixEpochFrom(),
@to int = $__unixEpochTo()
EXEC dbo.sp_test_epoch @from, @to`,
"format": "time_series",
}),
RefId: "A",
},
},
TimeRange: &tsdb.TimeRange{
From: "1521117000000",
To: "1521122100000",
},
}
resp, err := endpoint.Query(context.Background(), 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("Given a stored procedure that takes @from and @to in datetime", func() {
sql := `
IF object_id('sp_test_datetime') IS NOT NULL
DROP PROCEDURE sp_test_datetime
`
_, err := sess.Exec(sql)
So(err, ShouldBeNil)
sql = `
CREATE PROCEDURE sp_test_datetime(
@from datetime,
@to datetime,
@interval nvarchar(50) = '5m',
@metric nvarchar(200) = 'ALL'
) AS
BEGIN
DECLARE @dInterval int
SELECT @dInterval = 300
IF @interval = '10m'
SELECT @dInterval = 600
SELECT
CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval as time,
measurement as metric,
avg(valueOne) as valueOne,
avg(valueTwo) as valueTwo
FROM
metric_values
WHERE
time BETWEEN @from AND @to AND
(@metric = 'ALL' OR measurement = @metric)
GROUP BY
CAST(ROUND(DATEDIFF(second, '1970-01-01', time)/CAST(@dInterval as float), 0) as bigint)*@dInterval,
measurement
ORDER BY 1
END
`
_, err = sess.Exec(sql)
So(err, ShouldBeNil)
Convey("When doing a metric query using stored procedure should return correct result", func() {
sqleng.Interpolate = origInterpolate
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
DataSource: &models.DataSource{JsonData: simplejson.New()},
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `DECLARE
@from int = $__unixEpochFrom(),
@to int = $__unixEpochTo()
EXEC dbo.sp_test_epoch @from, @to`,
"format": "time_series",
}),
RefId: "A",
},
},
TimeRange: &tsdb.TimeRange{
From: "1521117000000",
To: "1521122100000",
},
}
resp, err := endpoint.Query(context.Background(), 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("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 int,
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(context.Background(), 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(context.Background(), nil, query)
queryResult := resp.Results["Tickets"]
So(err, ShouldBeNil)
So(len(queryResult.Tables[0].Rows), ShouldEqual, 3)
})
Convey("When doing an annotation query with a time column in datetime format", func() {
dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC)
dtFormat := "2006-01-02 15:04:05.999999999"
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": fmt.Sprintf(`SELECT
CAST('%s' AS DATETIME) as time,
'message' as text,
'tag1,tag2' as tags
`, dt.Format(dtFormat)),
"format": "table",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Tables[0].Rows), ShouldEqual, 1)
columns := queryResult.Tables[0].Rows[0]
//Should be in milliseconds
So(columns[0].(float64), ShouldEqual, float64(dt.UnixNano()/1e6))
})
Convey("When doing an annotation query with a time column in epoch second format should return ms", func() {
dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC)
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": fmt.Sprintf(`SELECT
%d as time,
'message' as text,
'tag1,tag2' as tags
`, dt.Unix()),
"format": "table",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Tables[0].Rows), ShouldEqual, 1)
columns := queryResult.Tables[0].Rows[0]
//Should be in milliseconds
So(columns[0].(int64), ShouldEqual, dt.Unix()*1000)
})
Convey("When doing an annotation query with a time column in epoch second format (int) should return ms", func() {
dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC)
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": fmt.Sprintf(`SELECT
cast(%d as int) as time,
'message' as text,
'tag1,tag2' as tags
`, dt.Unix()),
"format": "table",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Tables[0].Rows), ShouldEqual, 1)
columns := queryResult.Tables[0].Rows[0]
//Should be in milliseconds
So(columns[0].(int64), ShouldEqual, dt.Unix()*1000)
})
Convey("When doing an annotation query with a time column in epoch millisecond format should return ms", func() {
dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC)
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": fmt.Sprintf(`SELECT
%d as time,
'message' as text,
'tag1,tag2' as tags
`, dt.Unix()*1000),
"format": "table",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Tables[0].Rows), ShouldEqual, 1)
columns := queryResult.Tables[0].Rows[0]
//Should be in milliseconds
So(columns[0].(float64), ShouldEqual, float64(dt.Unix()*1000))
})
Convey("When doing an annotation query with a time column holding a bigint null value should return nil", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT
cast(null as bigint) as time,
'message' as text,
'tag1,tag2' as tags
`,
"format": "table",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Tables[0].Rows), ShouldEqual, 1)
columns := queryResult.Tables[0].Rows[0]
//Should be in milliseconds
So(columns[0], ShouldBeNil)
})
Convey("When doing an annotation query with a time column holding a datetime null value should return nil", func() {
query := &tsdb.TsdbQuery{
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT
cast(null as datetime) as time,
'message' as text,
'tag1,tag2' as tags
`,
"format": "table",
}),
RefId: "A",
},
},
}
resp, err := endpoint.Query(context.Background(), nil, query)
So(err, ShouldBeNil)
queryResult := resp.Results["A"]
So(queryResult.Error, ShouldBeNil)
So(len(queryResult.Tables[0].Rows), ShouldEqual, 1)
columns := queryResult.Tables[0].Rows[0]
//Should be in milliseconds
So(columns[0], ShouldBeNil)
})
})
})
}
func InitMSSQLTestDB(t *testing.T) *xorm.Engine {
x, err := xorm.NewEngine(sqlutil.TestDB_Mssql.DriverName, strings.Replace(sqlutil.TestDB_Mssql.ConnStr, "localhost", serverIP, 1))
if err != nil {
t.Fatalf("Failed to init mssql db %v", err)
}
x.DatabaseTZ = time.UTC
x.TZLocation = time.UTC
// x.ShowSQL()
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
}
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