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nexpie-grafana-theme
Commit 4f7882cd by Marcus Efraimsson
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mssql: use new sql engine

parent 27db4540
Showing with 64 additions and 274 deletions
pkg/tsdb/mssql/macros.go
......@@ -14,18 +14,18 @@ import (
const rsIdentifier = `([_a-zA-Z0-9]+)`
const sExpr = `\$` + rsIdentifier + `\(([^\)]*)\)`
type MsSqlMacroEngine struct {
TimeRange *tsdb.TimeRange
Query *tsdb.Query
type msSqlMacroEngine struct {
timeRange *tsdb.TimeRange
query *tsdb.Query
}
func NewMssqlMacroEngine() tsdb.SqlMacroEngine {
return &MsSqlMacroEngine{}
func newMssqlMacroEngine() tsdb.SqlMacroEngine {
return &msSqlMacroEngine{}
}
func (m *MsSqlMacroEngine) Interpolate(query *tsdb.Query, timeRange *tsdb.TimeRange, sql string) (string, error) {
m.TimeRange = timeRange
m.Query = query
func (m *msSqlMacroEngine) Interpolate(query *tsdb.Query, timeRange *tsdb.TimeRange, sql string) (string, error) {
m.timeRange = timeRange
m.query = query
rExp, _ := regexp.Compile(sExpr)
var macroError error
......@@ -66,7 +66,7 @@ func replaceAllStringSubmatchFunc(re *regexp.Regexp, str string, repl func([]str
return result + str[lastIndex:]
}
func (m *MsSqlMacroEngine) evaluateMacro(name string, args []string) (string, error) {
func (m *msSqlMacroEngine) evaluateMacro(name string, args []string) (string, error) {
switch name {
case "__time":
if len(args) == 0 {
......@@ -83,11 +83,11 @@ func (m *MsSqlMacroEngine) evaluateMacro(name string, args []string) (string, er
return "", fmt.Errorf("missing time column argument for macro %v", name)
}
return fmt.Sprintf("%s BETWEEN '%s' AND '%s'", args[0], m.TimeRange.GetFromAsTimeUTC().Format(time.RFC3339), m.TimeRange.GetToAsTimeUTC().Format(time.RFC3339)), nil
return fmt.Sprintf("%s BETWEEN '%s' AND '%s'", args[0], m.timeRange.GetFromAsTimeUTC().Format(time.RFC3339), m.timeRange.GetToAsTimeUTC().Format(time.RFC3339)), nil
case "__timeFrom":
return fmt.Sprintf("'%s'", m.TimeRange.GetFromAsTimeUTC().Format(time.RFC3339)), nil
return fmt.Sprintf("'%s'", m.timeRange.GetFromAsTimeUTC().Format(time.RFC3339)), nil
case "__timeTo":
return fmt.Sprintf("'%s'", m.TimeRange.GetToAsTimeUTC().Format(time.RFC3339)), nil
return fmt.Sprintf("'%s'", m.timeRange.GetToAsTimeUTC().Format(time.RFC3339)), nil
case "__timeGroup":
if len(args) < 2 {
return "", fmt.Errorf("macro %v needs time column and interval", name)
......@@ -97,16 +97,16 @@ func (m *MsSqlMacroEngine) evaluateMacro(name string, args []string) (string, er
return "", fmt.Errorf("error parsing interval %v", args[1])
}
if len(args) == 3 {
m.Query.Model.Set("fill", true)
m.Query.Model.Set("fillInterval", interval.Seconds())
m.query.Model.Set("fill", true)
m.query.Model.Set("fillInterval", interval.Seconds())
if args[2] == "NULL" {
m.Query.Model.Set("fillNull", true)
m.query.Model.Set("fillNull", true)
} else {
floatVal, err := strconv.ParseFloat(args[2], 64)
if err != nil {
return "", fmt.Errorf("error parsing fill value %v", args[2])
}
m.Query.Model.Set("fillValue", floatVal)
m.query.Model.Set("fillValue", floatVal)
}
}
return fmt.Sprintf("FLOOR(DATEDIFF(second, '1970-01-01', %s)/%.0f)*%.0f", args[0], interval.Seconds(), interval.Seconds()), nil
......@@ -114,11 +114,11 @@ func (m *MsSqlMacroEngine) evaluateMacro(name string, args []string) (string, er
if len(args) == 0 {
return "", fmt.Errorf("missing time column argument for macro %v", name)
}
return fmt.Sprintf("%s >= %d AND %s <= %d", args[0], m.TimeRange.GetFromAsSecondsEpoch(), args[0], m.TimeRange.GetToAsSecondsEpoch()), nil
return fmt.Sprintf("%s >= %d AND %s <= %d", args[0], m.timeRange.GetFromAsSecondsEpoch(), args[0], m.timeRange.GetToAsSecondsEpoch()), nil
case "__unixEpochFrom":
return fmt.Sprintf("%d", m.TimeRange.GetFromAsSecondsEpoch()), nil
return fmt.Sprintf("%d", m.timeRange.GetFromAsSecondsEpoch()), nil
case "__unixEpochTo":
return fmt.Sprintf("%d", m.TimeRange.GetToAsSecondsEpoch()), nil
return fmt.Sprintf("%d", m.timeRange.GetToAsSecondsEpoch()), nil
default:
return "", fmt.Errorf("Unknown macro %v", name)
}
......
pkg/tsdb/mssql/macros_test.go
......@@ -14,7 +14,7 @@ import (
func TestMacroEngine(t *testing.T) {
Convey("MacroEngine", t, func() {
engine := &MsSqlMacroEngine{}
engine := &msSqlMacroEngine{}
query := &tsdb.Query{
Model: simplejson.New(),
}
......
pkg/tsdb/mssql/mssql.go
package mssql
import (
"container/list"
"context"
"database/sql"
"fmt"
"strconv"
"strings"
"math"
_ "github.com/denisenkom/go-mssqldb"
"github.com/go-xorm/core"
"github.com/grafana/grafana/pkg/components/null"
"github.com/grafana/grafana/pkg/log"
"github.com/grafana/grafana/pkg/models"
"github.com/grafana/grafana/pkg/tsdb"
)
type MssqlQueryEndpoint struct {
sqlEngine tsdb.SqlEngine
log log.Logger
}
func init() {
tsdb.RegisterTsdbQueryEndpoint("mssql", NewMssqlQueryEndpoint)
tsdb.RegisterTsdbQueryEndpoint("mssql", newMssqlQueryEndpoint)
}
func NewMssqlQueryEndpoint(datasource *models.DataSource) (tsdb.TsdbQueryEndpoint, error) {
endpoint := &MssqlQueryEndpoint{
log: log.New("tsdb.mssql"),
}
endpoint.sqlEngine = &tsdb.DefaultSqlEngine{
MacroEngine: NewMssqlMacroEngine(),
}
func newMssqlQueryEndpoint(datasource *models.DataSource) (tsdb.TsdbQueryEndpoint, error) {
logger := log.New("tsdb.mssql")
cnnstr := generateConnectionString(datasource)
endpoint.log.Debug("getEngine", "connection", cnnstr)
logger.Debug("getEngine", "connection", cnnstr)
if err := endpoint.sqlEngine.InitEngine("mssql", datasource, cnnstr); err != nil {
return nil, err
config := tsdb.SqlQueryEndpointConfiguration{
DriverName: "mssql",
ConnectionString: cnnstr,
Datasource: datasource,
MetricColumnTypes: []string{"VARCHAR", "CHAR", "NVARCHAR", "NCHAR"},
}
rowTransformer := mssqlRowTransformer{
log: logger,
}
return endpoint, nil
return tsdb.NewSqlQueryEndpoint(&config, &rowTransformer, newMssqlMacroEngine(), logger)
}
func generateConnectionString(datasource *models.DataSource) string {
......@@ -70,71 +61,16 @@ func generateConnectionString(datasource *models.DataSource) string {
)
}
// Query is the main function for the MssqlQueryEndpoint
func (e *MssqlQueryEndpoint) Query(ctx context.Context, dsInfo *models.DataSource, tsdbQuery *tsdb.TsdbQuery) (*tsdb.Response, error) {
return e.sqlEngine.Query(ctx, dsInfo, tsdbQuery, e.transformToTimeSeries, e.transformToTable)
}
func (e MssqlQueryEndpoint) transformToTable(query *tsdb.Query, rows *core.Rows, result *tsdb.QueryResult, tsdbQuery *tsdb.TsdbQuery) error {
columnNames, err := rows.Columns()
columnCount := len(columnNames)
if err != nil {
return err
}
rowLimit := 1000000
rowCount := 0
timeIndex := -1
table := &tsdb.Table{
Columns: make([]tsdb.TableColumn, columnCount),
Rows: make([]tsdb.RowValues, 0),
}
for i, name := range columnNames {
table.Columns[i].Text = name
// check if there is a column named time
switch name {
case "time":
timeIndex = i
}
}
columnTypes, err := rows.ColumnTypes()
if err != nil {
return err
}
for ; rows.Next(); rowCount++ {
if rowCount > rowLimit {
return fmt.Errorf("MsSQL query row limit exceeded, limit %d", rowLimit)
}
values, err := e.getTypedRowData(columnTypes, rows)
if err != nil {
return err
}
// converts column named time to unix timestamp in milliseconds
// to make native mssql datetime types and epoch dates work in
// annotation and table queries.
tsdb.ConvertSqlTimeColumnToEpochMs(values, timeIndex)
table.Rows = append(table.Rows, values)
}
result.Tables = append(result.Tables, table)
result.Meta.Set("rowCount", rowCount)
return nil
type mssqlRowTransformer struct {
log log.Logger
}
func (e MssqlQueryEndpoint) getTypedRowData(types []*sql.ColumnType, rows *core.Rows) (tsdb.RowValues, error) {
values := make([]interface{}, len(types))
valuePtrs := make([]interface{}, len(types))
func (t *mssqlRowTransformer) Transform(columnTypes []*sql.ColumnType, rows *core.Rows) (tsdb.RowValues, error) {
values := make([]interface{}, len(columnTypes))
valuePtrs := make([]interface{}, len(columnTypes))
for i, stype := range types {
e.log.Debug("type", "type", stype)
for i, stype := range columnTypes {
t.log.Debug("type", "type", stype)
valuePtrs[i] = &values[i]
}
......@@ -144,17 +80,17 @@ func (e MssqlQueryEndpoint) getTypedRowData(types []*sql.ColumnType, rows *core.
// convert types not handled by denisenkom/go-mssqldb
// unhandled types are returned as []byte
for i := 0; i < len(types); i++ {
for i := 0; i < len(columnTypes); i++ {
if value, ok := values[i].([]byte); ok {
switch types[i].DatabaseTypeName() {
switch columnTypes[i].DatabaseTypeName() {
case "MONEY", "SMALLMONEY", "DECIMAL":
if v, err := strconv.ParseFloat(string(value), 64); err == nil {
values[i] = v
} else {
e.log.Debug("Rows", "Error converting numeric to float", value)
t.log.Debug("Rows", "Error converting numeric to float", value)
}
default:
e.log.Debug("Rows", "Unknown database type", types[i].DatabaseTypeName(), "value", value)
t.log.Debug("Rows", "Unknown database type", columnTypes[i].DatabaseTypeName(), "value", value)
values[i] = string(value)
}
}
......@@ -162,157 +98,3 @@ func (e MssqlQueryEndpoint) getTypedRowData(types []*sql.ColumnType, rows *core.
return values, nil
}
func (e MssqlQueryEndpoint) transformToTimeSeries(query *tsdb.Query, rows *core.Rows, result *tsdb.QueryResult, tsdbQuery *tsdb.TsdbQuery) error {
pointsBySeries := make(map[string]*tsdb.TimeSeries)
seriesByQueryOrder := list.New()
columnNames, err := rows.Columns()
if err != nil {
return err
}
columnTypes, err := rows.ColumnTypes()
if err != nil {
return err
}
rowLimit := 1000000
rowCount := 0
timeIndex := -1
metricIndex := -1
// check columns of resultset: a column named time is mandatory
// the first text column is treated as metric name unless a column named metric is present
for i, col := range columnNames {
switch col {
case "time":
timeIndex = i
case "metric":
metricIndex = i
default:
if metricIndex == -1 {
switch columnTypes[i].DatabaseTypeName() {
case "VARCHAR", "CHAR", "NVARCHAR", "NCHAR":
metricIndex = i
}
}
}
}
if timeIndex == -1 {
return fmt.Errorf("Found no column named time")
}
fillMissing := query.Model.Get("fill").MustBool(false)
var fillInterval float64
fillValue := null.Float{}
if fillMissing {
fillInterval = query.Model.Get("fillInterval").MustFloat64() * 1000
if !query.Model.Get("fillNull").MustBool(false) {
fillValue.Float64 = query.Model.Get("fillValue").MustFloat64()
fillValue.Valid = true
}
}
for rows.Next() {
var timestamp float64
var value null.Float
var metric string
if rowCount > rowLimit {
return fmt.Errorf("MSSQL query row limit exceeded, limit %d", rowLimit)
}
values, err := e.getTypedRowData(columnTypes, rows)
if err != nil {
return err
}
// converts column named time to unix timestamp in milliseconds to make
// native mysql datetime types and epoch dates work in
// annotation and table queries.
tsdb.ConvertSqlTimeColumnToEpochMs(values, timeIndex)
switch columnValue := values[timeIndex].(type) {
case int64:
timestamp = float64(columnValue)
case float64:
timestamp = columnValue
default:
return fmt.Errorf("Invalid type for column time, must be of type timestamp or unix timestamp, got: %T %v", columnValue, columnValue)
}
if metricIndex >= 0 {
if columnValue, ok := values[metricIndex].(string); ok {
metric = columnValue
} else {
return fmt.Errorf("Column metric must be of type CHAR, VARCHAR, NCHAR or NVARCHAR. metric column name: %s type: %s but datatype is %T", columnNames[metricIndex], columnTypes[metricIndex].DatabaseTypeName(), values[metricIndex])
}
}
for i, col := range columnNames {
if i == timeIndex || i == metricIndex {
continue
}
if value, err = tsdb.ConvertSqlValueColumnToFloat(col, values[i]); err != nil {
return err
}
if metricIndex == -1 {
metric = col
}
series, exist := pointsBySeries[metric]
if !exist {
series = &tsdb.TimeSeries{Name: metric}
pointsBySeries[metric] = series
seriesByQueryOrder.PushBack(metric)
}
if fillMissing {
var intervalStart float64
if !exist {
intervalStart = float64(tsdbQuery.TimeRange.MustGetFrom().UnixNano() / 1e6)
} else {
intervalStart = series.Points[len(series.Points)-1][1].Float64 + fillInterval
}
// align interval start
intervalStart = math.Floor(intervalStart/fillInterval) * fillInterval
for i := intervalStart; i < timestamp; i += fillInterval {
series.Points = append(series.Points, tsdb.TimePoint{fillValue, null.FloatFrom(i)})
rowCount++
}
}
series.Points = append(series.Points, tsdb.TimePoint{value, null.FloatFrom(timestamp)})
e.log.Debug("Rows", "metric", metric, "time", timestamp, "value", value)
}
}
for elem := seriesByQueryOrder.Front(); elem != nil; elem = elem.Next() {
key := elem.Value.(string)
result.Series = append(result.Series, pointsBySeries[key])
if fillMissing {
series := pointsBySeries[key]
// fill in values from last fetched value till interval end
intervalStart := series.Points[len(series.Points)-1][1].Float64
intervalEnd := float64(tsdbQuery.TimeRange.MustGetTo().UnixNano() / 1e6)
// align interval start
intervalStart = math.Floor(intervalStart/fillInterval) * fillInterval
for i := intervalStart + fillInterval; i < intervalEnd; i += fillInterval {
series.Points = append(series.Points, tsdb.TimePoint{fillValue, null.FloatFrom(i)})
rowCount++
}
}
}
result.Meta.Set("rowCount", rowCount)
return nil
}
pkg/tsdb/mssql/mssql_test.go
......@@ -8,8 +8,9 @@ import (
"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/log"
"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"
......@@ -19,8 +20,9 @@ import (
// 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 dashboard.json in same directory that you can import to Grafana
// once you've created a datasource for the test server/database.
// 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"
......@@ -28,19 +30,25 @@ 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"),
origXormEngine := tsdb.NewXormEngine
tsdb.NewXormEngine = func(d, c string) (*xorm.Engine, error) {
return x, nil
}
sess := x.NewSession()
defer sess.Close()
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
})
Convey("Given a table with different native data types", func() {
sql := `
IF OBJECT_ID('dbo.[mssql_types]', 'U') IS NOT NULL
......
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