package mssql import ( "context" "fmt" "math/rand" "strings" "testing" "time" "github.com/go-xorm/xorm" "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/smartystreets/goconvey/convey" ) // 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 vizualized 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 := tsdb.NewXormEngine tsdb.NewXormEngine = func(d, c string) (*xorm.Engine, error) { return x, nil } origInterpolate := tsdb.Interpolate tsdb.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() tsdb.NewXormEngine = origXormEngine tsdb.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 ) ` _, 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(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", 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, }) } _, 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 := tsdb.Interpolate tsdb.Interpolate = origInterpolate Reset(func() { tsdb.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("sql").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) sess.DropTable(metric_values{}) } 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() { tsdb.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("sql").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() { tsdb.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() { tsdb.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 }