SQL data sources: Convert to return data frames (#32257)

Convert SQL data sources to return data frames.

Co-authored-by: Marcus Efraimsson <marcus.efraimsson@gmail.com>
Co-authored-by: Arve Knudsen <arve.knudsen@gmail.com>
Co-authored-by: Will Browne <will.browne@grafana.com>
Co-authored-by: Hugo Häggmark <hugo.haggmark@gmail.com>
This commit is contained in:
ying-jeanne
2021-05-05 16:46:07 +02:00
committed by GitHub
co-authored by Marcus Efraimsson Arve Knudsen Will Browne Hugo Häggmark
parent 06c24476dc
commit bd66c8dde3
36 changed files with 4947 additions and 3711 deletions
+8
View File
@@ -510,6 +510,14 @@ func IsTestDbPostgres() bool {
return false
}
func IsTestDBMSSQL() bool {
if db, present := os.LookupEnv("GRAFANA_TEST_DB"); present {
return db == migrator.MSSQL
}
return false
}
type DatabaseConfig struct {
Type string
Host string
+1 -1
View File
@@ -69,7 +69,7 @@ func (ic *intervalCalculator) Calculate(timerange plugins.DataTimeRange, minInte
func GetIntervalFrom(dsInfo *models.DataSource, queryModel *simplejson.Json, defaultInterval time.Duration) (time.Duration, error) {
interval := queryModel.Get("interval").MustString("")
if interval == "" && dsInfo.JsonData != nil {
if interval == "" && dsInfo != nil && dsInfo.JsonData != nil {
dsInterval := dsInfo.JsonData.Get("timeInterval").MustString("")
if dsInterval != "" {
interval = dsInterval
+85 -45
View File
@@ -1,13 +1,15 @@
package mssql
import (
"database/sql"
"fmt"
"net/url"
"reflect"
"regexp"
"strconv"
"strings"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/grafana/grafana-plugin-sdk-go/data/sqlutil"
"github.com/grafana/grafana/pkg/setting"
"github.com/grafana/grafana/pkg/util"
@@ -16,7 +18,6 @@ import (
"github.com/grafana/grafana/pkg/models"
"github.com/grafana/grafana/pkg/plugins"
"github.com/grafana/grafana/pkg/tsdb/sqleng"
"xorm.io/core"
)
var logger = log.New("tsdb.mssql")
@@ -115,49 +116,6 @@ type mssqlQueryResultTransformer struct {
log log.Logger
}
func (t *mssqlQueryResultTransformer) TransformQueryResult(columnTypes []*sql.ColumnType, rows *core.Rows) (
plugins.DataRowValues, error) {
values := make([]interface{}, len(columnTypes))
valuePtrs := make([]interface{}, len(columnTypes))
for i := range columnTypes {
// debug output on large tables causes high memory utilization/leak
// t.log.Debug("type", "type", stype)
valuePtrs[i] = &values[i]
}
if err := rows.Scan(valuePtrs...); err != nil {
return nil, err
}
// convert types not handled by denisenkom/go-mssqldb
// unhandled types are returned as []byte
for i := 0; i < len(columnTypes); i++ {
if value, ok := values[i].([]byte); ok {
switch columnTypes[i].DatabaseTypeName() {
case "MONEY", "SMALLMONEY", "DECIMAL":
if v, err := strconv.ParseFloat(string(value), 64); err == nil {
values[i] = v
} else {
t.log.Debug("Rows", "Error converting numeric to float", value)
}
case "UNIQUEIDENTIFIER":
uuid := &mssql.UniqueIdentifier{}
if err := uuid.Scan(value); err == nil {
values[i] = uuid.String()
} else {
t.log.Debug("Rows", "Error converting uniqueidentifier to string", value)
}
default:
t.log.Debug("Rows", "Unknown database type", columnTypes[i].DatabaseTypeName(), "value", value)
values[i] = string(value)
}
}
}
return values, nil
}
func (t *mssqlQueryResultTransformer) TransformQueryError(err error) error {
// go-mssql overrides source error, so we currently match on string
// ref https://github.com/denisenkom/go-mssqldb/blob/045585d74f9069afe2e115b6235eb043c8047043/tds.go#L904
@@ -168,3 +126,85 @@ func (t *mssqlQueryResultTransformer) TransformQueryError(err error) error {
return err
}
func (t *mssqlQueryResultTransformer) GetConverterList() []sqlutil.StringConverter {
return []sqlutil.StringConverter{
{
Name: "handle MONEY",
InputScanKind: reflect.Slice,
InputTypeName: "MONEY",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableFloat64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseFloat(*in, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
{
Name: "handle SMALLMONEY",
InputScanKind: reflect.Slice,
InputTypeName: "SMALLMONEY",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableFloat64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseFloat(*in, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
{
Name: "handle DECIMAL",
InputScanKind: reflect.Slice,
InputTypeName: "DECIMAL",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableFloat64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseFloat(*in, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
{
Name: "handle UNIQUEIDENTIFIER",
InputScanKind: reflect.Slice,
InputTypeName: "UNIQUEIDENTIFIER",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableString,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
uuid := &mssql.UniqueIdentifier{}
if err := uuid.Scan([]byte(*in)); err != nil {
return nil, err
}
v := uuid.String()
return &v, nil
},
},
},
}
}
+1029 -967
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File diff suppressed because it is too large Load Diff
+205 -62
View File
@@ -1,15 +1,17 @@
package mysql
import (
"database/sql"
"errors"
"fmt"
"net/url"
"reflect"
"strconv"
"strings"
"time"
"github.com/VividCortex/mysqlerr"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/grafana/grafana-plugin-sdk-go/data/sqlutil"
"github.com/grafana/grafana/pkg/setting"
"github.com/go-sql-driver/mysql"
@@ -17,7 +19,12 @@ import (
"github.com/grafana/grafana/pkg/models"
"github.com/grafana/grafana/pkg/plugins"
"github.com/grafana/grafana/pkg/tsdb/sqleng"
"xorm.io/core"
)
const (
dateFormat = "2006-01-02"
dateTimeFormat1 = "2006-01-02 15:04:05"
dateTimeFormat2 = "2006-01-02T15:04:05Z"
)
func characterEscape(s string, escapeChar string) string {
@@ -77,66 +84,6 @@ type mysqlQueryResultTransformer struct {
log log.Logger
}
func (t *mysqlQueryResultTransformer) TransformQueryResult(columnTypes []*sql.ColumnType, rows *core.Rows) (
plugins.DataRowValues, error) {
values := make([]interface{}, len(columnTypes))
for i := range values {
scanType := columnTypes[i].ScanType()
values[i] = reflect.New(scanType).Interface()
if columnTypes[i].DatabaseTypeName() == "BIT" {
values[i] = new([]byte)
}
}
if err := rows.Scan(values...); err != nil {
return nil, err
}
for i := 0; i < len(columnTypes); i++ {
typeName := reflect.ValueOf(values[i]).Type().String()
switch typeName {
case "*sql.RawBytes":
values[i] = string(*values[i].(*sql.RawBytes))
case "*mysql.NullTime":
sqlTime := (*values[i].(*mysql.NullTime))
if sqlTime.Valid {
values[i] = sqlTime.Time
} else {
values[i] = nil
}
case "*sql.NullInt64":
nullInt64 := (*values[i].(*sql.NullInt64))
if nullInt64.Valid {
values[i] = nullInt64.Int64
} else {
values[i] = nil
}
case "*sql.NullFloat64":
nullFloat64 := (*values[i].(*sql.NullFloat64))
if nullFloat64.Valid {
values[i] = nullFloat64.Float64
} else {
values[i] = nil
}
}
if columnTypes[i].DatabaseTypeName() == "DECIMAL" {
f, err := strconv.ParseFloat(values[i].(string), 64)
if err == nil {
values[i] = f
} else {
values[i] = nil
}
}
}
return values, nil
}
func (t *mysqlQueryResultTransformer) TransformQueryError(err error) error {
var driverErr *mysql.MySQLError
if errors.As(err, &driverErr) {
@@ -151,3 +98,199 @@ func (t *mysqlQueryResultTransformer) TransformQueryError(err error) error {
}
var errQueryFailed = errors.New("query failed - please inspect Grafana server log for details")
func (t *mysqlQueryResultTransformer) GetConverterList() []sqlutil.StringConverter {
// For the MySQL driver , we have these possible data types:
// https://www.w3schools.com/sql/sql_datatypes.asp#:~:text=In%20MySQL%20there%20are%20three,numeric%2C%20and%20date%20and%20time.
// Since by default, we convert all into String, we need only to handle the Numeric data types
return []sqlutil.StringConverter{
{
Name: "handle DOUBLE",
InputScanKind: reflect.Struct,
InputTypeName: "DOUBLE",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableFloat64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseFloat(*in, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
{
Name: "handle BIGINT",
InputScanKind: reflect.Struct,
InputTypeName: "BIGINT",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableInt64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseInt(*in, 10, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
{
Name: "handle DECIMAL",
InputScanKind: reflect.Slice,
InputTypeName: "DECIMAL",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableFloat64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseFloat(*in, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
{
Name: "handle DATETIME",
InputScanKind: reflect.Struct,
InputTypeName: "DATETIME",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableTime,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := time.Parse(dateTimeFormat1, *in)
if err == nil {
return &v, nil
}
v, err = time.Parse(dateTimeFormat2, *in)
if err == nil {
return &v, nil
}
return nil, err
},
},
},
{
Name: "handle DATE",
InputScanKind: reflect.Struct,
InputTypeName: "DATE",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableTime,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := time.Parse(dateFormat, *in)
if err == nil {
return &v, nil
}
v, err = time.Parse(dateTimeFormat1, *in)
if err == nil {
return &v, nil
}
v, err = time.Parse(dateTimeFormat2, *in)
if err == nil {
return &v, nil
}
return nil, err
},
},
},
{
Name: "handle TIMESTAMP",
InputScanKind: reflect.Struct,
InputTypeName: "TIMESTAMP",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableTime,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := time.Parse(dateTimeFormat1, *in)
if err == nil {
return &v, nil
}
v, err = time.Parse(dateTimeFormat2, *in)
if err == nil {
return &v, nil
}
return nil, err
},
},
},
{
Name: "handle YEAR",
InputScanKind: reflect.Struct,
InputTypeName: "YEAR",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableInt64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseInt(*in, 10, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
{
Name: "handle INT",
InputScanKind: reflect.Struct,
InputTypeName: "INT",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableInt64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseInt(*in, 10, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
{
Name: "handle FLOAT",
InputScanKind: reflect.Struct,
InputTypeName: "FLOAT",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableFloat64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseFloat(*in, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
}
}
File diff suppressed because it is too large Load Diff
+65 -40
View File
@@ -1,11 +1,13 @@
package postgres
import (
"database/sql"
"fmt"
"reflect"
"strconv"
"strings"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/grafana/grafana-plugin-sdk-go/data/sqlutil"
"github.com/grafana/grafana/pkg/registry"
"github.com/grafana/grafana/pkg/setting"
"github.com/grafana/grafana/pkg/util/errutil"
@@ -14,7 +16,6 @@ import (
"github.com/grafana/grafana/pkg/models"
"github.com/grafana/grafana/pkg/plugins"
"github.com/grafana/grafana/pkg/tsdb/sqleng"
"xorm.io/core"
)
func init() {
@@ -114,7 +115,6 @@ func (s *PostgresService) generateConnectionString(datasource *models.DataSource
connStr += fmt.Sprintf(" sslmode='%s'", escape(tlsSettings.Mode))
// Attach root certificate if provided
// Attach root certificate if provided
if tlsSettings.RootCertFile != "" {
s.logger.Debug("Setting server root certificate", "tlsRootCert", tlsSettings.RootCertFile)
@@ -137,43 +137,68 @@ type postgresQueryResultTransformer struct {
log log.Logger
}
func (t *postgresQueryResultTransformer) TransformQueryResult(columnTypes []*sql.ColumnType, rows *core.Rows) (
plugins.DataRowValues, error) {
values := make([]interface{}, len(columnTypes))
valuePtrs := make([]interface{}, len(columnTypes))
for i := 0; i < len(columnTypes); i++ {
valuePtrs[i] = &values[i]
}
if err := rows.Scan(valuePtrs...); err != nil {
return nil, err
}
// convert types not handled by lib/pq
// unhandled types are returned as []byte
for i := 0; i < len(columnTypes); i++ {
if value, ok := values[i].([]byte); ok {
switch columnTypes[i].DatabaseTypeName() {
case "NUMERIC":
if v, err := strconv.ParseFloat(string(value), 64); err == nil {
values[i] = v
} else {
t.log.Debug("Rows", "Error converting numeric to float", value)
}
case "UNKNOWN", "CIDR", "INET", "MACADDR":
// char literals have type UNKNOWN
values[i] = string(value)
default:
t.log.Debug("Rows", "Unknown database type", columnTypes[i].DatabaseTypeName(), "value", value)
values[i] = string(value)
}
}
}
return values, nil
}
func (t *postgresQueryResultTransformer) TransformQueryError(err error) error {
return err
}
func (t *postgresQueryResultTransformer) GetConverterList() []sqlutil.StringConverter {
return []sqlutil.StringConverter{
{
Name: "handle FLOAT4",
InputScanKind: reflect.Interface,
InputTypeName: "FLOAT4",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableFloat64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseFloat(*in, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
{
Name: "handle FLOAT8",
InputScanKind: reflect.Interface,
InputTypeName: "FLOAT8",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableFloat64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseFloat(*in, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
{
Name: "handle NUMERIC",
InputScanKind: reflect.Interface,
InputTypeName: "NUMERIC",
ConversionFunc: func(in *string) (*string, error) { return in, nil },
Replacer: &sqlutil.StringFieldReplacer{
OutputFieldType: data.FieldTypeNullableFloat64,
ReplaceFunc: func(in *string) (interface{}, error) {
if in == nil {
return nil, nil
}
v, err := strconv.ParseFloat(*in, 64)
if err != nil {
return nil, err
}
return &v, nil
},
},
},
}
}
+173 -123
View File
@@ -10,6 +10,7 @@ import (
"testing"
"time"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/grafana/grafana/pkg/components/securejsondata"
"github.com/grafana/grafana/pkg/components/simplejson"
"github.com/grafana/grafana/pkg/infra/log"
@@ -151,10 +152,9 @@ func TestGenerateConnectionString(t *testing.T) {
// devenv/README.md for setup instructions.
func TestPostgres(t *testing.T) {
// change to true to run the PostgreSQL tests
runPostgresTests := false
// runPostgresTests := true
const runPostgresTests = false
if !sqlstore.IsTestDbPostgres() && !runPostgresTests {
if !(sqlstore.IsTestDbPostgres() || runPostgresTests) {
t.Skip()
}
@@ -213,7 +213,7 @@ func TestPostgres(t *testing.T) {
c12_date date,
c13_time time without time zone,
c14_timetz time with time zone,
time date,
c15_interval interval
);
`
@@ -226,7 +226,7 @@ func TestPostgres(t *testing.T) {
4.5,6.7,1.1,1.2,
'char10','varchar10','text',
now(),now(),now(),now(),now(),'15m'::interval
now(),now(),now(),now(),now(),now(),'15m'::interval
);
`
_, err = sess.Exec(sql)
@@ -250,32 +250,36 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
column := queryResult.Tables[0].Rows[0]
require.Equal(t, int64(1), column[0].(int64))
require.Equal(t, int64(2), column[1].(int64))
require.Equal(t, int64(3), column[2].(int64))
frames, _ := queryResult.Dataframes.Decoded()
require.Len(t, frames, 1)
require.Len(t, frames[0].Fields, 17)
require.Equal(t, float64(4.5), column[3].(float64))
require.Equal(t, float64(6.7), column[4].(float64))
require.Equal(t, float64(1.1), column[5].(float64))
require.Equal(t, float64(1.2), column[6].(float64))
require.Equal(t, int16(1), *frames[0].Fields[0].At(0).(*int16))
require.Equal(t, int32(2), *frames[0].Fields[1].At(0).(*int32))
require.Equal(t, int64(3), *frames[0].Fields[2].At(0).(*int64))
require.Equal(t, "char10 ", column[7].(string))
require.Equal(t, "varchar10", column[8].(string))
require.Equal(t, "text", column[9].(string))
require.Equal(t, float64(4.5), *frames[0].Fields[3].At(0).(*float64))
require.Equal(t, float64(6.7), *frames[0].Fields[4].At(0).(*float64))
require.Equal(t, float64(1.1), *frames[0].Fields[5].At(0).(*float64))
require.Equal(t, float64(1.2), *frames[0].Fields[6].At(0).(*float64))
_, ok := column[10].(time.Time)
require.True(t, ok)
_, ok = column[11].(time.Time)
require.True(t, ok)
_, ok = column[12].(time.Time)
require.True(t, ok)
_, ok = column[13].(time.Time)
require.True(t, ok)
_, ok = column[14].(time.Time)
require.True(t, ok)
require.Equal(t, "char10 ", *frames[0].Fields[7].At(0).(*string))
require.Equal(t, "varchar10", *frames[0].Fields[8].At(0).(*string))
require.Equal(t, "text", *frames[0].Fields[9].At(0).(*string))
require.Equal(t, "00:15:00", column[15].(string))
_, ok := frames[0].Fields[10].At(0).(*time.Time)
require.True(t, ok)
_, ok = frames[0].Fields[11].At(0).(*time.Time)
require.True(t, ok)
_, ok = frames[0].Fields[12].At(0).(*time.Time)
require.True(t, ok)
_, ok = frames[0].Fields[13].At(0).(*time.Time)
require.True(t, ok)
_, ok = frames[0].Fields[14].At(0).(*time.Time)
require.True(t, ok)
_, ok = frames[0].Fields[15].At(0).(*time.Time)
require.True(t, ok)
require.Equal(t, "00:15:00", *frames[0].Fields[16].At(0).(*string))
})
})
@@ -335,26 +339,27 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
points := queryResult.Series[0].Points
frames, _ := queryResult.Dataframes.Decoded()
require.Len(t, frames, 1)
require.Equal(t, 4, frames[0].Fields[0].Len())
// without fill this should result in 4 buckets
require.Len(t, points, 4)
dt := fromStart
for i := 0; i < 2; i++ {
aValue := points[i][0].Float64
aTime := time.Unix(int64(points[i][1].Float64)/1000, 0)
aValue := *frames[0].Fields[1].At(i).(*float64)
aTime := *frames[0].Fields[0].At(i).(*time.Time)
require.Equal(t, float64(15), aValue)
require.Equal(t, dt, aTime)
require.Equal(t, int64(0), aTime.Unix()%300)
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)
aValue := *frames[0].Fields[1].At(i).(*float64)
aTime := *frames[0].Fields[0].At(i).(*time.Time)
require.Equal(t, float64(20), aValue)
require.Equal(t, dt, aTime)
dt = dt.Add(5 * time.Minute)
@@ -388,10 +393,12 @@ func TestPostgres(t *testing.T) {
resp, err := exe.DataQuery(context.Background(), nil, query)
require.NoError(t, err)
queryResult := resp.Results["A"]
frames, _ := queryResult.Dataframes.Decoded()
require.NoError(t, queryResult.Error)
require.Equal(t,
"SELECT floor(extract(epoch from time)/60)*60 AS time, avg(value) as value FROM metric GROUP BY 1 ORDER BY 1",
queryResult.Meta.Get(sqleng.MetaKeyExecutedQueryString).MustString())
frames[0].Meta.ExecutedQueryString)
})
t.Run("When doing a metric query using timeGroup with NULL fill enabled", func(t *testing.T) {
@@ -416,35 +423,36 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
points := queryResult.Series[0].Points
require.Len(t, points, 7)
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, 7, frames[0].Fields[0].Len())
dt := fromStart
for i := 0; i < 2; i++ {
aValue := points[i][0].Float64
aTime := time.Unix(int64(points[i][1].Float64)/1000, 0)
aValue := *frames[0].Fields[1].At(i).(*float64)
aTime := *frames[0].Fields[0].At(i).(*time.Time)
require.Equal(t, float64(15), aValue)
require.Equal(t, dt, aTime)
require.True(t, aTime.Equal(dt))
dt = dt.Add(5 * time.Minute)
}
// check for NULL values inserted by fill
require.False(t, points[2][0].Valid)
require.False(t, points[3][0].Valid)
require.Nil(t, frames[0].Fields[1].At(2))
require.Nil(t, frames[0].Fields[1].At(3))
// 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)
aValue := *frames[0].Fields[1].At(i).(*float64)
aTime := *frames[0].Fields[0].At(i).(*time.Time)
require.Equal(t, float64(20), aValue)
require.Equal(t, dt, aTime)
require.True(t, aTime.Equal(dt))
dt = dt.Add(5 * time.Minute)
}
// check for NULL values inserted by fill
require.False(t, points[6][0].Valid)
require.Nil(t, frames[0].Fields[1].At(6))
})
t.Run("When doing a metric query using timeGroup with value fill enabled", func(t *testing.T) {
@@ -469,8 +477,9 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
points := queryResult.Series[0].Points
require.Equal(t, float64(1.5), points[3][0].Float64)
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, 1.5, *frames[0].Fields[1].At(3).(*float64))
})
})
@@ -496,10 +505,11 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
points := queryResult.Series[0].Points
require.Equal(t, float64(15.0), points[2][0].Float64)
require.Equal(t, float64(15.0), points[3][0].Float64)
require.Equal(t, float64(20.0), points[6][0].Float64)
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, float64(15.0), *frames[0].Fields[1].At(2).(*float64))
require.Equal(t, float64(15.0), *frames[0].Fields[1].At(3).(*float64))
require.Equal(t, float64(20.0), *frames[0].Fields[1].At(6).(*float64))
})
t.Run("Given a table with metrics having multiple values and measurements", func(t *testing.T) {
@@ -570,7 +580,7 @@ func TestPostgres(t *testing.T) {
require.NoError(t, err)
t.Run(
"When doing a metric query using epoch (int64) as time column and value column (int64) should return metric with time in milliseconds",
"When doing a metric query using epoch (int64) as time column and value column (int64) should return metric with time in time.Time",
func(t *testing.T) {
query := plugins.DataQuery{
Queries: []plugins.DataSubQuery{
@@ -589,11 +599,12 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Equal(t, 1, len(queryResult.Series))
require.Equal(t, float64(tInitial.UnixNano()/1e6), queryResult.Series[0].Points[0][1].Float64)
frames, _ := queryResult.Dataframes.Decoded()
require.Len(t, frames, 1)
require.True(t, tInitial.Equal(*frames[0].Fields[0].At(0).(*time.Time)))
})
t.Run("When doing a metric query using epoch (int64 nullable) as time column and value column (int64 nullable,) should return metric with time in milliseconds",
t.Run("When doing a metric query using epoch (int64 nullable) as time column and value column (int64 nullable,) should return metric with time in time.Time",
func(t *testing.T) {
query := plugins.DataQuery{
Queries: []plugins.DataSubQuery{
@@ -612,11 +623,12 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Series, 1)
require.Equal(t, float64(tInitial.UnixNano()/1e6), queryResult.Series[0].Points[0][1].Float64)
frames, _ := queryResult.Dataframes.Decoded()
require.Len(t, frames, 1)
require.True(t, tInitial.Equal(*frames[0].Fields[0].At(0).(*time.Time)))
})
t.Run("When doing a metric query using epoch (float64) as time column and value column (float64), should return metric with time in milliseconds",
t.Run("When doing a metric query using epoch (float64) as time column and value column (float64), should return metric with time in time.Time",
func(t *testing.T) {
query := plugins.DataQuery{
Queries: []plugins.DataSubQuery{
@@ -635,11 +647,12 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Series, 1)
require.Equal(t, float64(tInitial.UnixNano()/1e6), queryResult.Series[0].Points[0][1].Float64)
frames, _ := queryResult.Dataframes.Decoded()
require.Len(t, frames, 1)
require.True(t, tInitial.Equal(*frames[0].Fields[0].At(0).(*time.Time)))
})
t.Run("When doing a metric query using epoch (float64 nullable) as time column and value column (float64 nullable), should return metric with time in milliseconds",
t.Run("When doing a metric query using epoch (float64 nullable) as time column and value column (float64 nullable), should return metric with time in time.Time",
func(t *testing.T) {
query := plugins.DataQuery{
Queries: []plugins.DataSubQuery{
@@ -658,11 +671,12 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Series, 1)
require.Equal(t, float64(tInitial.UnixNano()/1e6), queryResult.Series[0].Points[0][1].Float64)
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.True(t, tInitial.Equal(*frames[0].Fields[0].At(0).(*time.Time)))
})
t.Run("When doing a metric query using epoch (int32) as time column and value column (int32), should return metric with time in milliseconds",
t.Run("When doing a metric query using epoch (int32) as time column and value column (int32), should return metric with time in time.Time",
func(t *testing.T) {
query := plugins.DataQuery{
Queries: []plugins.DataSubQuery{
@@ -681,11 +695,12 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Series, 1)
require.Equal(t, float64(tInitial.UnixNano()/1e6), queryResult.Series[0].Points[0][1].Float64)
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.True(t, tInitial.Equal(*frames[0].Fields[0].At(0).(*time.Time)))
})
t.Run("When doing a metric query using epoch (int32 nullable) as time column and value column (int32 nullable), should return metric with time in milliseconds",
t.Run("When doing a metric query using epoch (int32 nullable) as time column and value column (int32 nullable), should return metric with time in time.Time",
func(t *testing.T) {
query := plugins.DataQuery{
Queries: []plugins.DataSubQuery{
@@ -704,11 +719,12 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Series, 1)
require.Equal(t, float64(tInitial.UnixNano()/1e6), queryResult.Series[0].Points[0][1].Float64)
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.True(t, tInitial.Equal(*frames[0].Fields[0].At(0).(*time.Time)))
})
t.Run("When doing a metric query using epoch (float32) as time column and value column (float32), should return metric with time in milliseconds",
t.Run("When doing a metric query using epoch (float32) as time column and value column (float32), should return metric with time in time.Time",
func(t *testing.T) {
query := plugins.DataQuery{
Queries: []plugins.DataSubQuery{
@@ -727,11 +743,13 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Series, 1)
require.Equal(t, float64(float32(tInitial.Unix()))*1e3, queryResult.Series[0].Points[0][1].Float64)
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
aTime := time.Unix(0, int64(float64(float32(tInitial.Unix()))*1e3)*int64(time.Millisecond))
require.True(t, aTime.Equal(*frames[0].Fields[0].At(0).(*time.Time)))
})
t.Run("When doing a metric query using epoch (float32 nullable) as time column and value column (float32 nullable), should return metric with time in milliseconds",
t.Run("When doing a metric query using epoch (float32 nullable) as time column and value column (float32 nullable), should return metric with time in time.Time",
func(t *testing.T) {
query := plugins.DataQuery{
Queries: []plugins.DataSubQuery{
@@ -750,8 +768,10 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Series, 1)
require.Equal(t, float64(float32(tInitial.Unix()))*1e3, queryResult.Series[0].Points[0][1].Float64)
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
aTime := time.Unix(0, int64(float64(float32(tInitial.Unix()))*1e3)*int64(time.Millisecond))
require.True(t, aTime.Equal(*frames[0].Fields[0].At(0).(*time.Time)))
})
t.Run("When doing a metric query grouping by time and select metric column should return correct series", func(t *testing.T) {
@@ -772,9 +792,11 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Series, 2)
require.Equal(t, "Metric A - value one", queryResult.Series[0].Name)
require.Equal(t, "Metric B - value one", queryResult.Series[1].Name)
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, 3, len(frames[0].Fields))
require.Equal(t, data.Labels{"metric": "Metric A - value one"}, frames[0].Fields[1].Labels)
require.Equal(t, data.Labels{"metric": "Metric B - value one"}, frames[0].Fields[2].Labels)
})
t.Run("When doing a metric query with metric column and multiple value columns", func(t *testing.T) {
@@ -795,11 +817,18 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Series, 4)
require.Equal(t, "Metric A valueOne", queryResult.Series[0].Name)
require.Equal(t, "Metric A valueTwo", queryResult.Series[1].Name)
require.Equal(t, "Metric B valueOne", queryResult.Series[2].Name)
require.Equal(t, "Metric B valueTwo", queryResult.Series[3].Name)
frames, err := queryResult.Dataframes.Decoded()
require.NoError(t, err)
require.Equal(t, 1, len(frames))
require.Equal(t, 5, len(frames[0].Fields))
require.Equal(t, "valueOne", frames[0].Fields[1].Name)
require.Equal(t, data.Labels{"metric": "Metric A"}, frames[0].Fields[1].Labels)
require.Equal(t, "valueOne", frames[0].Fields[2].Name)
require.Equal(t, data.Labels{"metric": "Metric B"}, frames[0].Fields[2].Labels)
require.Equal(t, "valueTwo", frames[0].Fields[3].Name)
require.Equal(t, data.Labels{"metric": "Metric A"}, frames[0].Fields[3].Labels)
require.Equal(t, "valueTwo", frames[0].Fields[4].Name)
require.Equal(t, data.Labels{"metric": "Metric B"}, frames[0].Fields[4].Labels)
})
t.Run("When doing a metric query grouping by time should return correct series", func(t *testing.T) {
@@ -820,9 +849,11 @@ func TestPostgres(t *testing.T) {
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Series, 2)
require.Equal(t, "valueOne", queryResult.Series[0].Name)
require.Equal(t, "valueTwo", queryResult.Series[1].Name)
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, 3, len(frames[0].Fields))
require.Equal(t, "valueOne", frames[0].Fields[1].Name)
require.Equal(t, "valueTwo", frames[0].Fields[2].Name)
})
t.Run("When doing a query with timeFrom,timeTo,unixEpochFrom,unixEpochTo macros", func(t *testing.T) {
@@ -850,9 +881,11 @@ func TestPostgres(t *testing.T) {
require.NoError(t, err)
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
frames, _ := queryResult.Dataframes.Decoded()
require.Len(t, frames, 1)
require.Equal(t,
"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",
queryResult.Meta.Get(sqleng.MetaKeyExecutedQueryString).MustString())
frames[0].Meta.ExecutedQueryString)
})
})
@@ -910,7 +943,10 @@ func TestPostgres(t *testing.T) {
resp, err := exe.DataQuery(context.Background(), nil, query)
queryResult := resp.Results["Deploys"]
require.NoError(t, err)
require.Len(t, queryResult.Tables[0].Rows, 3)
frames, _ := queryResult.Dataframes.Decoded()
require.Len(t, frames, 1)
require.Len(t, frames[0].Fields, 3)
})
t.Run("When doing an annotation query of ticket events should return expected result", func(t *testing.T) {
@@ -933,7 +969,10 @@ func TestPostgres(t *testing.T) {
resp, err := exe.DataQuery(context.Background(), nil, query)
queryResult := resp.Results["Tickets"]
require.NoError(t, err)
require.Len(t, queryResult.Tables[0].Rows, 3)
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, 3, len(frames[0].Fields))
})
t.Run("When doing an annotation query with a time column in datetime format", func(t *testing.T) {
@@ -960,14 +999,15 @@ func TestPostgres(t *testing.T) {
require.NoError(t, err)
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Tables[0].Rows, 1)
columns := queryResult.Tables[0].Rows[0]
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, 3, len(frames[0].Fields))
//Should be in milliseconds
require.Equal(t, float64(dt.UnixNano()/1e6), columns[0].(float64))
// Should be in time.Time
require.Equal(t, dt.Unix(), (*frames[0].Fields[0].At(0).(*time.Time)).Unix())
})
t.Run("When doing an annotation query with a time column in epoch second format should return ms", func(t *testing.T) {
t.Run("When doing an annotation query with a time column in epoch second format should return time.Time", func(t *testing.T) {
dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC)
query := plugins.DataQuery{
@@ -975,7 +1015,7 @@ func TestPostgres(t *testing.T) {
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": fmt.Sprintf(`SELECT
%d as time,
%d as time,
'message' as text,
'tag1,tag2' as tags
`, dt.Unix()),
@@ -990,14 +1030,16 @@ func TestPostgres(t *testing.T) {
require.NoError(t, err)
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Tables[0].Rows, 1)
columns := queryResult.Tables[0].Rows[0]
//Should be in milliseconds
require.Equal(t, dt.Unix()*1000, columns[0].(int64))
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, 3, len(frames[0].Fields))
// Should be in time.Time
require.Equal(t, dt.Unix(), (*frames[0].Fields[0].At(0).(*time.Time)).Unix())
})
t.Run("When doing an annotation query with a time column in epoch second format (t *testing.Tint) should return ms", func(t *testing.T) {
t.Run("When doing an annotation query with a time column in epoch second format (t *testing.Tint) should return time.Time", func(t *testing.T) {
dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC)
query := plugins.DataQuery{
@@ -1005,7 +1047,7 @@ func TestPostgres(t *testing.T) {
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": fmt.Sprintf(`SELECT
cast(%d as bigint) as time,
cast(%d as bigint) as time,
'message' as text,
'tag1,tag2' as tags
`, dt.Unix()),
@@ -1020,14 +1062,16 @@ func TestPostgres(t *testing.T) {
require.NoError(t, err)
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Tables[0].Rows, 1)
columns := queryResult.Tables[0].Rows[0]
//Should be in milliseconds
require.Equal(t, dt.Unix()*1000, columns[0].(int64))
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, 3, len(frames[0].Fields))
// Should be in time.Time
require.Equal(t, dt.Unix(), (*frames[0].Fields[0].At(0).(*time.Time)).Unix())
})
t.Run("When doing an annotation query with a time column in epoch millisecond format should return ms", func(t *testing.T) {
t.Run("When doing an annotation query with a time column in epoch millisecond format should return time.Time", func(t *testing.T) {
dt := time.Date(2018, 3, 14, 21, 20, 6, 527e6, time.UTC)
query := plugins.DataQuery{
@@ -1050,11 +1094,13 @@ func TestPostgres(t *testing.T) {
require.NoError(t, err)
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Tables[0].Rows, 1)
columns := queryResult.Tables[0].Rows[0]
//Should be in milliseconds
require.Equal(t, dt.Unix()*1000, columns[0].(int64))
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, 3, len(frames[0].Fields))
// Should be in time.Time
require.Equal(t, dt.Unix(), (*frames[0].Fields[0].At(0).(*time.Time)).Unix())
})
t.Run("When doing an annotation query with a time column holding a bigint null value should return nil", func(t *testing.T) {
@@ -1078,11 +1124,13 @@ func TestPostgres(t *testing.T) {
require.NoError(t, err)
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Tables[0].Rows, 1)
columns := queryResult.Tables[0].Rows[0]
//Should be in milliseconds
require.Nil(t, columns[0])
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, 3, len(frames[0].Fields))
// Should be in time.Time
require.Nil(t, frames[0].Fields[0].At(0))
})
t.Run("When doing an annotation query with a time column holding a timestamp null value should return nil", func(t *testing.T) {
@@ -1091,10 +1139,10 @@ func TestPostgres(t *testing.T) {
{
Model: simplejson.NewFromAny(map[string]interface{}{
"rawSql": `SELECT
cast(null as timestamp) as time,
'message' as text,
'tag1,tag2' as tags
`,
cast(null as timestamp) as time,
'message' as text,
'tag1,tag2' as tags
`,
"format": "table",
}),
RefID: "A",
@@ -1106,11 +1154,13 @@ func TestPostgres(t *testing.T) {
require.NoError(t, err)
queryResult := resp.Results["A"]
require.NoError(t, queryResult.Error)
require.Len(t, queryResult.Tables[0].Rows, 1)
columns := queryResult.Tables[0].Rows[0]
//Should be in milliseconds
assert.Nil(t, columns[0])
frames, _ := queryResult.Dataframes.Decoded()
require.Equal(t, 1, len(frames))
require.Equal(t, 3, len(frames[0].Fields))
// Should be in time.Time
assert.Nil(t, frames[0].Fields[0].At(0))
})
})
}
+136
View File
@@ -0,0 +1,136 @@
package sqleng
import (
"fmt"
"time"
"github.com/grafana/grafana-plugin-sdk-go/data"
)
// getRowFillValues populates a slice of values corresponding to the provided data.Frame fields.
// Uses data.FillMissing settings to fill in values that are missing. Values are normally missing
// due to that the selected query interval doesn't match the intervals of the data returned from
// the query and therefore needs to be resampled.
func getRowFillValues(f *data.Frame, tsSchema data.TimeSeriesSchema, currentTime time.Time,
fillMissing *data.FillMissing, intermediateRows []int, lastSeenRowIdx int) []interface{} {
vals := make([]interface{}, 0, len(f.Fields))
for i, field := range f.Fields {
// if the current field is the time index of the series
// set the new value to be added to the new timestamp
if i == tsSchema.TimeIndex {
switch f.Fields[tsSchema.TimeIndex].Type() {
case data.FieldTypeTime:
vals = append(vals, currentTime)
default:
vals = append(vals, &currentTime)
}
continue
}
isValueField := false
for _, idx := range tsSchema.ValueIndices {
if i == idx {
isValueField = true
break
}
}
// if the current field is value Field
// set the new value to the last seen field value (if such exists)
// otherwise set the appropriate value according to the fillMissing mode
// if the current field is string field)
// set the new value to be added to the last seen value (if such exists)
// if the Frame is wide then there should not be any string fields
var newVal interface{}
if isValueField {
if len(intermediateRows) > 0 {
// instead of setting the last seen
// we could set avg, sum, min or max
// of the intermediate values for each field
newVal = f.At(i, intermediateRows[len(intermediateRows)-1])
} else {
val, err := data.GetMissing(fillMissing, field, lastSeenRowIdx)
if err == nil {
newVal = val
}
}
} else if lastSeenRowIdx >= 0 {
newVal = f.At(i, lastSeenRowIdx)
}
vals = append(vals, newVal)
}
return vals
}
// resample resample provided time-series data.Frame.
// This is needed in the case of the selected query interval doesn't
// match the intervals of the time-series field in the data.Frame and
// therefore needs to be resampled.
func resample(f *data.Frame, qm dataQueryModel) (*data.Frame, error) {
tsSchema := f.TimeSeriesSchema()
if tsSchema.Type == data.TimeSeriesTypeNot {
return f, fmt.Errorf("can not fill missing, not timeseries frame")
}
if qm.Interval == 0 {
return f, nil
}
newFields := make([]*data.Field, 0, len(f.Fields))
for _, field := range f.Fields {
newField := data.NewFieldFromFieldType(field.Type(), 0)
newField.Name = field.Name
newField.Labels = field.Labels
newFields = append(newFields, newField)
}
resampledFrame := data.NewFrame(f.Name, newFields...)
resampledFrame.Meta = f.Meta
resampledRowidx := 0
lastSeenRowIdx := -1
timeField := f.Fields[tsSchema.TimeIndex]
for currentTime := qm.TimeRange.From; !currentTime.After(qm.TimeRange.To); currentTime = currentTime.Add(qm.Interval) {
initialRowIdx := 0
if lastSeenRowIdx > 0 {
initialRowIdx = lastSeenRowIdx + 1
}
intermediateRows := make([]int, 0)
for {
rowLen, err := f.RowLen()
if err != nil {
return f, err
}
if initialRowIdx == rowLen {
break
}
t, ok := timeField.ConcreteAt(initialRowIdx)
if !ok {
return f, fmt.Errorf("time point is nil")
}
if t.(time.Time).After(currentTime) {
nextTime := currentTime.Add(qm.Interval)
if t.(time.Time).Before(nextTime) {
intermediateRows = append(intermediateRows, initialRowIdx)
lastSeenRowIdx = initialRowIdx
initialRowIdx++
}
break
}
intermediateRows = append(intermediateRows, initialRowIdx)
lastSeenRowIdx = initialRowIdx
initialRowIdx++
}
// no intermediate points; set values following fill missing mode
fieldVals := getRowFillValues(f, tsSchema, currentTime, qm.FillMissing, intermediateRows, lastSeenRowIdx)
resampledFrame.InsertRow(resampledRowidx, fieldVals...)
resampledRowidx++
}
return resampledFrame, nil
}
+309
View File
@@ -0,0 +1,309 @@
package sqleng
import (
"testing"
"time"
"github.com/google/go-cmp/cmp"
"github.com/grafana/grafana-plugin-sdk-go/backend"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/stretchr/testify/require"
"github.com/xorcare/pointer"
)
func TestResampleWide(t *testing.T) {
tests := []struct {
name string
input *data.Frame
fillMissing *data.FillMissing
timeRange backend.TimeRange
interval time.Duration
output *data.Frame
}{
{
name: "interval 1s; fill null",
fillMissing: &data.FillMissing{Mode: data.FillModeNull},
timeRange: backend.TimeRange{
From: time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
To: time.Date(2020, 1, 2, 3, 4, 26, 0, time.UTC),
},
interval: time.Second,
input: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 19, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
pointer.Int64(10),
pointer.Int64(12),
pointer.Int64(15),
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
pointer.Float64(10.5),
pointer.Float64(12.5),
pointer.Float64(15.0),
})),
output: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 19, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 21, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 22, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 23, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 25, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 26, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
nil,
pointer.Int64(10),
pointer.Int64(12),
nil,
nil,
nil,
pointer.Int64(15),
nil,
nil,
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
nil,
pointer.Float64(10.5),
pointer.Float64(12.5),
nil,
nil,
nil,
pointer.Float64(15.0),
nil,
nil,
})),
},
{
name: "interval 1s; fill value",
fillMissing: &data.FillMissing{Mode: data.FillModeValue, Value: -1},
timeRange: backend.TimeRange{
From: time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
To: time.Date(2020, 1, 2, 3, 4, 26, 0, time.UTC),
},
interval: time.Second,
input: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 19, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
pointer.Int64(10),
pointer.Int64(12),
pointer.Int64(15),
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
pointer.Float64(10.5),
pointer.Float64(12.5),
pointer.Float64(15.0),
})),
output: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 19, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 21, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 22, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 23, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 25, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 26, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
pointer.Int64(-1),
pointer.Int64(10),
pointer.Int64(12),
pointer.Int64(-1),
pointer.Int64(-1),
pointer.Int64(-1),
pointer.Int64(15),
pointer.Int64(-1),
pointer.Int64(-1),
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
pointer.Float64(-1),
pointer.Float64(10.5),
pointer.Float64(12.5),
pointer.Float64(-1),
pointer.Float64(-1),
pointer.Float64(-1),
pointer.Float64(15.0),
pointer.Float64(-1),
pointer.Float64(-1),
})),
},
{
name: "interval 1s; fill previous",
fillMissing: &data.FillMissing{Mode: data.FillModePrevious},
timeRange: backend.TimeRange{
From: time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
To: time.Date(2020, 1, 2, 3, 4, 26, 0, time.UTC),
},
interval: time.Second,
input: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 19, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
pointer.Int64(10),
pointer.Int64(12),
pointer.Int64(15),
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
pointer.Float64(10.5),
pointer.Float64(12.5),
pointer.Float64(15.0),
})),
output: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 19, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 21, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 22, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 23, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 25, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 26, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
nil,
pointer.Int64(10),
pointer.Int64(12),
pointer.Int64(12),
pointer.Int64(12),
pointer.Int64(12),
pointer.Int64(15),
pointer.Int64(15),
pointer.Int64(15),
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
nil,
pointer.Float64(10.5),
pointer.Float64(12.5),
pointer.Float64(12.5),
pointer.Float64(12.5),
pointer.Float64(12.5),
pointer.Float64(15.0),
pointer.Float64(15.0),
pointer.Float64(15.0),
})),
},
{
name: "interval 2s; fill null",
fillMissing: &data.FillMissing{Mode: data.FillModeNull},
timeRange: backend.TimeRange{
From: time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
To: time.Date(2020, 1, 2, 3, 4, 26, 0, time.UTC),
},
interval: 2 * time.Second,
input: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 19, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
pointer.Int64(10),
pointer.Int64(12),
pointer.Int64(15),
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
pointer.Float64(10.5),
pointer.Float64(12.5),
pointer.Float64(15.0),
})),
output: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 22, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 26, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
pointer.Int64(12),
nil,
nil,
pointer.Int64(15),
nil,
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
pointer.Float64(12.5),
nil,
nil,
pointer.Float64(15.0),
nil,
})),
},
{
name: "interval 1s; fill null; rows outside timerange window",
fillMissing: &data.FillMissing{Mode: data.FillModeNull},
timeRange: backend.TimeRange{
From: time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
To: time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
},
interval: time.Second,
input: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 19, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
pointer.Int64(10),
pointer.Int64(12),
pointer.Int64(15),
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
pointer.Float64(10.5),
pointer.Float64(12.5),
pointer.Float64(15.0),
})),
output: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 21, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 22, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 23, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
pointer.Int64(12),
nil,
nil,
nil,
pointer.Int64(15),
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
pointer.Float64(12.5),
nil,
nil,
nil,
pointer.Float64(15.0),
})),
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
frame, err := resample(tt.input, dataQueryModel{
FillMissing: tt.fillMissing,
TimeRange: tt.timeRange,
Interval: tt.interval,
})
require.NoError(t, err)
if diff := cmp.Diff(tt.output, frame, data.FrameTestCompareOptions()...); diff != "" {
t.Errorf("Result mismatch (-want +got):\n%s", diff)
}
})
}
}
File diff suppressed because it is too large Load Diff
+265 -184
View File
@@ -7,19 +7,20 @@ import (
"testing"
"time"
"github.com/grafana/grafana/pkg/components/null"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/grafana/grafana-plugin-sdk-go/data/sqlutil"
"github.com/grafana/grafana/pkg/components/simplejson"
"github.com/grafana/grafana/pkg/infra/log"
"github.com/grafana/grafana/pkg/models"
"github.com/grafana/grafana/pkg/plugins"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
"github.com/xorcare/pointer"
"xorm.io/core"
)
func TestSQLEngine(t *testing.T) {
dt := time.Date(2018, 3, 14, 21, 20, 6, int(527345*time.Microsecond), time.UTC)
earlyDt := time.Date(1970, 3, 14, 21, 20, 6, int(527345*time.Microsecond), time.UTC)
t.Run("Given a time range between 2018-04-12 00:00 and 2018-04-12 00:05", func(t *testing.T) {
from := time.Date(2018, 4, 12, 18, 0, 0, 0, time.UTC)
@@ -58,56 +59,48 @@ func TestSQLEngine(t *testing.T) {
})
})
t.Run("Given row values with time.Time as time columns", func(t *testing.T) {
var nilPointer *time.Time
fixtures := make([]interface{}, 5)
fixtures[0] = dt
fixtures[1] = &dt
fixtures[2] = earlyDt
fixtures[3] = &earlyDt
fixtures[4] = nilPointer
for i := range fixtures {
ConvertSqlTimeColumnToEpochMs(fixtures, i)
}
expected := float64(dt.UnixNano()) / float64(time.Millisecond)
expectedEarly := float64(earlyDt.UnixNano()) / float64(time.Millisecond)
require.Equal(t, expected, fixtures[0].(float64))
require.Equal(t, expected, fixtures[1].(float64))
require.Equal(t, expectedEarly, fixtures[2].(float64))
require.Equal(t, expectedEarly, fixtures[3].(float64))
require.Nil(t, fixtures[4])
})
t.Run("Given row values with int64 as time columns", func(t *testing.T) {
tSeconds := dt.Unix()
tMilliseconds := dt.UnixNano() / 1e6
tNanoSeconds := dt.UnixNano()
var nilPointer *int64
fixtures := make([]interface{}, 7)
fixtures[0] = tSeconds
fixtures[1] = &tSeconds
fixtures[2] = tMilliseconds
fixtures[3] = &tMilliseconds
fixtures[4] = tNanoSeconds
fixtures[5] = &tNanoSeconds
fixtures[6] = nilPointer
originFrame := data.NewFrame("",
data.NewField("time1", nil, []int64{
tSeconds,
}),
data.NewField("time2", nil, []*int64{
pointer.Int64(tSeconds),
}),
data.NewField("time3", nil, []int64{
tMilliseconds,
}),
data.NewField("time4", nil, []*int64{
pointer.Int64(tMilliseconds),
}),
data.NewField("time5", nil, []int64{
tNanoSeconds,
}),
data.NewField("time6", nil, []*int64{
pointer.Int64(tNanoSeconds),
}),
data.NewField("time7", nil, []*int64{
nilPointer,
}),
)
for i := range fixtures {
ConvertSqlTimeColumnToEpochMs(fixtures, i)
for i := 0; i < len(originFrame.Fields); i++ {
err := convertSQLTimeColumnToEpochMS(originFrame, i)
require.NoError(t, err)
}
require.Equal(t, tSeconds*1e3, fixtures[0].(int64))
require.Equal(t, tSeconds*1e3, fixtures[1].(int64))
require.Equal(t, tMilliseconds, fixtures[2].(int64))
require.Equal(t, tMilliseconds, fixtures[3].(int64))
require.Equal(t, tMilliseconds, fixtures[4].(int64))
require.Equal(t, tMilliseconds, fixtures[5].(int64))
require.Nil(t, fixtures[6])
require.Equal(t, dt.Unix(), (*originFrame.Fields[0].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[1].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[2].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[3].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[4].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[5].At(0).(*time.Time)).Unix())
require.Nil(t, originFrame.Fields[6].At(0))
})
t.Run("Given row values with uint64 as time columns", func(t *testing.T) {
@@ -116,62 +109,91 @@ func TestSQLEngine(t *testing.T) {
tNanoSeconds := uint64(dt.UnixNano())
var nilPointer *uint64
fixtures := make([]interface{}, 7)
fixtures[0] = tSeconds
fixtures[1] = &tSeconds
fixtures[2] = tMilliseconds
fixtures[3] = &tMilliseconds
fixtures[4] = tNanoSeconds
fixtures[5] = &tNanoSeconds
fixtures[6] = nilPointer
originFrame := data.NewFrame("",
data.NewField("time1", nil, []uint64{
tSeconds,
}),
data.NewField("time2", nil, []*uint64{
pointer.Uint64(tSeconds),
}),
data.NewField("time3", nil, []uint64{
tMilliseconds,
}),
data.NewField("time4", nil, []*uint64{
pointer.Uint64(tMilliseconds),
}),
data.NewField("time5", nil, []uint64{
tNanoSeconds,
}),
data.NewField("time6", nil, []*uint64{
pointer.Uint64(tNanoSeconds),
}),
data.NewField("time7", nil, []*uint64{
nilPointer,
}),
)
for i := range fixtures {
ConvertSqlTimeColumnToEpochMs(fixtures, i)
for i := 0; i < len(originFrame.Fields); i++ {
err := convertSQLTimeColumnToEpochMS(originFrame, i)
require.NoError(t, err)
}
require.Equal(t, int64(tSeconds*1e3), fixtures[0].(int64))
require.Equal(t, int64(tSeconds*1e3), fixtures[1].(int64))
require.Equal(t, int64(tMilliseconds), fixtures[2].(int64))
require.Equal(t, int64(tMilliseconds), fixtures[3].(int64))
require.Equal(t, int64(tMilliseconds), fixtures[4].(int64))
require.Equal(t, int64(tMilliseconds), fixtures[5].(int64))
require.Nil(t, fixtures[6])
require.Equal(t, dt.Unix(), (*originFrame.Fields[0].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[1].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[2].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[3].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[4].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[5].At(0).(*time.Time)).Unix())
require.Nil(t, originFrame.Fields[6].At(0))
})
t.Run("Given row values with int32 as time columns", func(t *testing.T) {
tSeconds := int32(dt.Unix())
var nilInt *int32
fixtures := make([]interface{}, 3)
fixtures[0] = tSeconds
fixtures[1] = &tSeconds
fixtures[2] = nilInt
for i := range fixtures {
ConvertSqlTimeColumnToEpochMs(fixtures, i)
originFrame := data.NewFrame("",
data.NewField("time1", nil, []int32{
tSeconds,
}),
data.NewField("time2", nil, []*int32{
pointer.Int32(tSeconds),
}),
data.NewField("time7", nil, []*int32{
nilInt,
}),
)
for i := 0; i < 3; i++ {
err := convertSQLTimeColumnToEpochMS(originFrame, i)
require.NoError(t, err)
}
require.Equal(t, dt.Unix()*1e3, fixtures[0].(int64))
require.Equal(t, dt.Unix()*1e3, fixtures[1].(int64))
require.Nil(t, fixtures[2])
require.Equal(t, dt.Unix(), (*originFrame.Fields[0].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[1].At(0).(*time.Time)).Unix())
require.Nil(t, originFrame.Fields[2].At(0))
})
t.Run("Given row values with uint32 as time columns", func(t *testing.T) {
tSeconds := uint32(dt.Unix())
var nilInt *uint32
fixtures := make([]interface{}, 3)
fixtures[0] = tSeconds
fixtures[1] = &tSeconds
fixtures[2] = nilInt
for i := range fixtures {
ConvertSqlTimeColumnToEpochMs(fixtures, i)
originFrame := data.NewFrame("",
data.NewField("time1", nil, []uint32{
tSeconds,
}),
data.NewField("time2", nil, []*uint32{
pointer.Uint32(tSeconds),
}),
data.NewField("time7", nil, []*uint32{
nilInt,
}),
)
for i := 0; i < len(originFrame.Fields); i++ {
err := convertSQLTimeColumnToEpochMS(originFrame, i)
require.NoError(t, err)
}
require.Equal(t, dt.Unix()*1e3, fixtures[0].(int64))
require.Equal(t, dt.Unix()*1e3, fixtures[1].(int64))
require.Nil(t, fixtures[2])
require.Equal(t, dt.Unix(), (*originFrame.Fields[0].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[1].At(0).(*time.Time)).Unix())
require.Nil(t, originFrame.Fields[2].At(0))
})
t.Run("Given row values with float64 as time columns", func(t *testing.T) {
@@ -180,137 +202,192 @@ func TestSQLEngine(t *testing.T) {
tNanoSeconds := float64(dt.UnixNano())
var nilPointer *float64
fixtures := make([]interface{}, 7)
fixtures[0] = tSeconds
fixtures[1] = &tSeconds
fixtures[2] = tMilliseconds
fixtures[3] = &tMilliseconds
fixtures[4] = tNanoSeconds
fixtures[5] = &tNanoSeconds
fixtures[6] = nilPointer
originFrame := data.NewFrame("",
data.NewField("time1", nil, []float64{
tSeconds,
}),
data.NewField("time2", nil, []*float64{
pointer.Float64(tSeconds),
}),
data.NewField("time3", nil, []float64{
tMilliseconds,
}),
data.NewField("time4", nil, []*float64{
pointer.Float64(tMilliseconds),
}),
data.NewField("time5", nil, []float64{
tNanoSeconds,
}),
data.NewField("time6", nil, []*float64{
pointer.Float64(tNanoSeconds),
}),
data.NewField("time7", nil, []*float64{
nilPointer,
}),
)
for i := range fixtures {
ConvertSqlTimeColumnToEpochMs(fixtures, i)
for i := 0; i < len(originFrame.Fields); i++ {
err := convertSQLTimeColumnToEpochMS(originFrame, i)
require.NoError(t, err)
}
require.Equal(t, tMilliseconds, fixtures[0].(float64))
require.Equal(t, tMilliseconds, fixtures[1].(float64))
require.Equal(t, tMilliseconds, fixtures[2].(float64))
require.Equal(t, tMilliseconds, fixtures[3].(float64))
require.Equal(t, tMilliseconds, fixtures[4].(float64))
require.Equal(t, tMilliseconds, fixtures[5].(float64))
require.Nil(t, fixtures[6])
require.Equal(t, dt.Unix(), (*originFrame.Fields[0].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[1].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[2].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[3].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[4].At(0).(*time.Time)).Unix())
require.Equal(t, dt.Unix(), (*originFrame.Fields[5].At(0).(*time.Time)).Unix())
require.Nil(t, originFrame.Fields[6].At(0))
})
t.Run("Given row values with float32 as time columns", func(t *testing.T) {
tSeconds := float32(dt.Unix())
var nilInt *float32
fixtures := make([]interface{}, 3)
fixtures[0] = tSeconds
fixtures[1] = &tSeconds
fixtures[2] = nilInt
for i := range fixtures {
ConvertSqlTimeColumnToEpochMs(fixtures, i)
originFrame := data.NewFrame("",
data.NewField("time1", nil, []float32{
tSeconds,
}),
data.NewField("time2", nil, []*float32{
pointer.Float32(tSeconds),
}),
data.NewField("time7", nil, []*float32{
nilInt,
}),
)
for i := 0; i < len(originFrame.Fields); i++ {
err := convertSQLTimeColumnToEpochMS(originFrame, i)
require.NoError(t, err)
}
require.Equal(t, float64(tSeconds)*1e3, fixtures[0].(float64))
require.Equal(t, float64(tSeconds)*1e3, fixtures[1].(float64))
require.Nil(t, fixtures[2])
require.Equal(t, int64(tSeconds), (*originFrame.Fields[0].At(0).(*time.Time)).Unix())
require.Equal(t, int64(tSeconds), (*originFrame.Fields[1].At(0).(*time.Time)).Unix())
require.Nil(t, originFrame.Fields[2].At(0))
})
t.Run("Given row with value columns", func(t *testing.T) {
intValue := 1
int64Value := int64(1)
int32Value := int32(1)
int16Value := int16(1)
int8Value := int8(1)
float64Value := float64(1)
float32Value := float32(1)
uintValue := uint(1)
uint64Value := uint64(1)
uint32Value := uint32(1)
uint16Value := uint16(1)
uint8Value := uint8(1)
testCases := []struct {
name string
value interface{}
}{
{"intValue", intValue},
{"&intValue", &intValue},
{"int64Value", int64Value},
{"&int64Value", &int64Value},
{"int32Value", int32Value},
{"&int32Value", &int32Value},
{"int16Value", int16Value},
{"&int16Value", &int16Value},
{"int8Value", int8Value},
{"&int8Value", &int8Value},
{"float64Value", float64Value},
{"&float64Value", &float64Value},
{"float32Value", float32Value},
{"&float32Value", &float32Value},
{"uintValue", uintValue},
{"&uintValue", &uintValue},
{"uint64Value", uint64Value},
{"&uint64Value", &uint64Value},
{"uint32Value", uint32Value},
{"&uint32Value", &uint32Value},
{"uint16Value", uint16Value},
{"&uint16Value", &uint16Value},
{"uint8Value", uint8Value},
{"&uint8Value", &uint8Value},
}
for _, tc := range testCases {
t.Run(tc.name, func(t *testing.T) {
value, err := ConvertSqlValueColumnToFloat("col", tc.value)
require.NoError(t, err)
require.True(t, value.Valid)
require.Equal(t, null.FloatFrom(1).Float64, value.Float64)
})
t.Run("Given row with value columns, would be converted to float64", func(t *testing.T) {
originFrame := data.NewFrame("",
data.NewField("value1", nil, []int64{
int64(1),
}),
data.NewField("value2", nil, []*int64{
pointer.Int64(1),
}),
data.NewField("value3", nil, []int32{
int32(1),
}),
data.NewField("value4", nil, []*int32{
pointer.Int32(1),
}),
data.NewField("value5", nil, []int16{
int16(1),
}),
data.NewField("value6", nil, []*int16{
pointer.Int16(1),
}),
data.NewField("value7", nil, []int8{
int8(1),
}),
data.NewField("value8", nil, []*int8{
pointer.Int8(1),
}),
data.NewField("value9", nil, []float64{
float64(1),
}),
data.NewField("value10", nil, []*float64{
pointer.Float64(1),
}),
data.NewField("value11", nil, []float32{
float32(1),
}),
data.NewField("value12", nil, []*float32{
pointer.Float32(1),
}),
data.NewField("value13", nil, []uint64{
uint64(1),
}),
data.NewField("value14", nil, []*uint64{
pointer.Uint64(1),
}),
data.NewField("value15", nil, []uint32{
uint32(1),
}),
data.NewField("value16", nil, []*uint32{
pointer.Uint32(1),
}),
data.NewField("value17", nil, []uint16{
uint16(1),
}),
data.NewField("value18", nil, []*uint16{
pointer.Uint16(1),
}),
data.NewField("value19", nil, []uint8{
uint8(1),
}),
data.NewField("value20", nil, []*uint8{
pointer.Uint8(1),
}),
)
for i := 0; i < len(originFrame.Fields); i++ {
_, err := convertSQLValueColumnToFloat(originFrame, i)
require.NoError(t, err)
if i == 8 {
require.Equal(t, float64(1), originFrame.Fields[i].At(0).(float64))
} else {
require.NotNil(t, originFrame.Fields[i].At(0).(*float64))
require.Equal(t, float64(1), *originFrame.Fields[i].At(0).(*float64))
}
}
})
t.Run("Given row with nil value columns", func(t *testing.T) {
var intNilPointer *int
var int64NilPointer *int64
var int32NilPointer *int32
var int16NilPointer *int16
var int8NilPointer *int8
var float64NilPointer *float64
var float32NilPointer *float32
var uintNilPointer *uint
var uint64NilPointer *uint64
var uint32NilPointer *uint32
var uint16NilPointer *uint16
var uint8NilPointer *uint8
testCases := []struct {
name string
value interface{}
}{
{"intNilPointer", intNilPointer},
{"int64NilPointer", int64NilPointer},
{"int32NilPointer", int32NilPointer},
{"int16NilPointer", int16NilPointer},
{"int8NilPointer", int8NilPointer},
{"float64NilPointer", float64NilPointer},
{"float32NilPointer", float32NilPointer},
{"uintNilPointer", uintNilPointer},
{"uint64NilPointer", uint64NilPointer},
{"uint32NilPointer", uint32NilPointer},
{"uint16NilPointer", uint16NilPointer},
{"uint8NilPointer", uint8NilPointer},
}
for _, tc := range testCases {
t.Run(tc.name, func(t *testing.T) {
value, err := ConvertSqlValueColumnToFloat("col", tc.value)
originFrame := data.NewFrame("",
data.NewField("value1", nil, []*int64{
int64NilPointer,
}),
data.NewField("value2", nil, []*int32{
int32NilPointer,
}),
data.NewField("value3", nil, []*int16{
int16NilPointer,
}),
data.NewField("value4", nil, []*int8{
int8NilPointer,
}),
data.NewField("value5", nil, []*float64{
float64NilPointer,
}),
data.NewField("value6", nil, []*float32{
float32NilPointer,
}),
data.NewField("value7", nil, []*uint64{
uint64NilPointer,
}),
data.NewField("value8", nil, []*uint32{
uint32NilPointer,
}),
data.NewField("value9", nil, []*uint16{
uint16NilPointer,
}),
data.NewField("value10", nil, []*uint8{
uint8NilPointer,
}),
)
for i := 0; i < len(originFrame.Fields); i++ {
t.Run("", func(t *testing.T) {
_, err := convertSQLValueColumnToFloat(originFrame, i)
require.NoError(t, err)
require.False(t, value.Valid)
require.Nil(t, originFrame.Fields[i].At(0))
})
}
})
@@ -352,3 +429,7 @@ func (t *testQueryResultTransformer) TransformQueryError(err error) error {
t.transformQueryErrorWasCalled = true
return err
}
func (t *testQueryResultTransformer) GetConverterList() []sqlutil.StringConverter {
return nil
}
+51
View File
@@ -0,0 +1,51 @@
package sqleng
import (
"fmt"
"time"
"github.com/grafana/grafana-plugin-sdk-go/data"
)
// trim trims rows that are outside the qm.TimeRange.
func trim(f *data.Frame, qm dataQueryModel) error {
tsSchema := f.TimeSeriesSchema()
if tsSchema.Type == data.TimeSeriesTypeNot {
return fmt.Errorf("can not trim non-timeseries frame")
}
timeField := f.Fields[tsSchema.TimeIndex]
if timeField.Len() == 0 {
return nil
}
// Trim rows after end
for i := timeField.Len() - 1; i >= 0; i-- {
t, ok := timeField.ConcreteAt(i)
if !ok {
return fmt.Errorf("time point is nil")
}
if !t.(time.Time).After(qm.TimeRange.To) {
break
}
f.DeleteRow(i)
}
// Trim rows before start
for timeField.Len() > 0 {
t, ok := timeField.ConcreteAt(0)
if !ok {
return fmt.Errorf("time point is nil")
}
if !t.(time.Time).Before(qm.TimeRange.From) {
break
}
f.DeleteRow(0)
}
return nil
}
+171
View File
@@ -0,0 +1,171 @@
package sqleng
import (
"testing"
"time"
"github.com/google/go-cmp/cmp"
"github.com/grafana/grafana-plugin-sdk-go/backend"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/stretchr/testify/require"
"github.com/xorcare/pointer"
)
func TestTrimWide(t *testing.T) {
tests := []struct {
name string
input *data.Frame
timeRange backend.TimeRange
output *data.Frame
}{
{
name: "needs trimming",
timeRange: backend.TimeRange{
From: time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
To: time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
},
input: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 19, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 21, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 22, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 23, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 25, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 26, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
nil,
pointer.Int64(10),
pointer.Int64(12),
nil,
nil,
nil,
pointer.Int64(15),
nil,
nil,
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
nil,
pointer.Float64(10.5),
pointer.Float64(12.5),
nil,
nil,
nil,
pointer.Float64(15.0),
nil,
nil,
})),
output: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 21, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 22, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 23, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
pointer.Int64(12),
nil,
nil,
nil,
pointer.Int64(15),
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
pointer.Float64(12.5),
nil,
nil,
nil,
pointer.Float64(15.0),
})),
},
{
name: "does not need trimming",
timeRange: backend.TimeRange{
From: time.Date(2020, 1, 2, 3, 4, 15, 0, time.UTC),
To: time.Date(2020, 1, 2, 3, 4, 30, 0, time.UTC),
},
input: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 19, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 21, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 22, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 23, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 25, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 26, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
nil,
pointer.Int64(10),
pointer.Int64(12),
nil,
nil,
nil,
pointer.Int64(15),
nil,
nil,
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
nil,
pointer.Float64(10.5),
pointer.Float64(12.5),
nil,
nil,
nil,
pointer.Float64(15.0),
nil,
nil,
})),
output: data.NewFrame("wide_test",
data.NewField("Time", nil, []time.Time{
time.Date(2020, 1, 2, 3, 4, 18, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 19, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 20, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 21, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 22, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 23, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 24, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 25, 0, time.UTC),
time.Date(2020, 1, 2, 3, 4, 26, 0, time.UTC),
}),
data.NewField("Values Ints", nil, []*int64{
nil,
pointer.Int64(10),
pointer.Int64(12),
nil,
nil,
nil,
pointer.Int64(15),
nil,
nil,
}),
data.NewField(`Values Floats`, data.Labels{"Animal Factor": "sloth"}, []*float64{
nil,
pointer.Float64(10.5),
pointer.Float64(12.5),
nil,
nil,
nil,
pointer.Float64(15.0),
nil,
nil,
})),
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
err := trim(tt.input, dataQueryModel{
TimeRange: tt.timeRange,
})
require.NoError(t, err)
if diff := cmp.Diff(tt.output, tt.input, data.FrameTestCompareOptions()...); diff != "" {
t.Errorf("Result mismatch (-want +got):\n%s", diff)
}
})
}
}