Tianx 2c0c5ef41e
feat: timestamptz expression & index & timezone (#44080)
issue: https://github.com/milvus-io/milvus/issues/27467

>My plan is as follows.
>- [x] M1 Create collection with timestamptz field
>- [x] M2 Insert timestamptz field data
>- [x] M3 Retrieve timestamptz field data
>- [x] M4 Implement handoff
>- [x] M5 Implement compare operator
>- [x] M6 Implement extract operator
 >- [x] M8 Support database/collection level default timezone
>- [x] M7 Support STL-SORT index for datatype timestamptz

---

The third PR of issue: https://github.com/milvus-io/milvus/issues/27467,
which completes M5, M6, M7, M8 described above.

## M8 Default Timezone

We will be able to use alter_collection() and alter_database() in a
future Python SDK release to modify the default timezone at the
collection or database level.

For insert requests, the timezone will be resolved using the following
order of precedence: String Literal-> Collection Default -> Database
Default.
For retrieval requests, the timezone will be resolved in this order:
Query Parameters -> Collection Default -> Database Default.
In both cases, the final fallback timezone is UTC.


## M5: Comparison Operators

We can now use the following expression format to filter on the
timestamptz field:

- `timestamptz_field [+/- INTERVAL 'interval_string'] {comparison_op}
ISO 'iso_string' `

- The interval_string follows the ISO 8601 duration format, for example:
P1Y2M3DT1H2M3S.

- The iso_string follows the ISO 8601 timestamp format, for example:
2025-01-03T00:00:00+08:00.

- Example expressions: "tsz + INTERVAL 'P0D' != ISO
'2025-01-03T00:00:00+08:00'" or "tsz != ISO
'2025-01-03T00:00:00+08:00'".

## M6: Extract

We will be able to extract sepecific time filed by kwargs in a future
Python SDK release.
The key is `time_fields`, and value should be one or more of "year,
month, day, hour, minute, second, microsecond", seperated by comma or
space. Then the result of each record would be an array of int64.



## M7: Indexing Support

Expressions without interval arithmetic can be accelerated using an
STL-SORT index. However, expressions that include interval arithmetic
cannot be indexed. This is because the result of an interval calculation
depends on the specific timestamp value. For example, adding one month
to a date in February results in a different number of added days than
adding one month to a date in March.

--- 

After this PR, the input / output type of timestamptz would be iso
string. Timestampz would be stored as timestamptz data, which is int64_t
finally.

> for more information, see https://en.wikipedia.org/wiki/ISO_8601

---------

Signed-off-by: xtx <xtianx@smail.nju.edu.cn>
2025-09-23 10:24:12 +08:00

578 lines
20 KiB
Go

// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package rootcoord
import (
"context"
"fmt"
"math"
"strconv"
"time"
"go.uber.org/zap"
"golang.org/x/sync/errgroup"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/json"
"github.com/milvus-io/milvus/internal/metastore/model"
"github.com/milvus-io/milvus/internal/types"
"github.com/milvus-io/milvus/internal/util/proxyutil"
"github.com/milvus-io/milvus/pkg/v2/common"
"github.com/milvus-io/milvus/pkg/v2/log"
"github.com/milvus-io/milvus/pkg/v2/mq/msgstream"
"github.com/milvus-io/milvus/pkg/v2/util/merr"
"github.com/milvus-io/milvus/pkg/v2/util/metricsinfo"
"github.com/milvus-io/milvus/pkg/v2/util/parameterutil"
"github.com/milvus-io/milvus/pkg/v2/util/tsoutil"
"github.com/milvus-io/milvus/pkg/v2/util/typeutil"
)
// EqualKeyPairArray check whether 2 KeyValuePairs are equal
func IsSubsetOfProperties(src, target []*commonpb.KeyValuePair) bool {
tmpMap := make(map[string]string)
for _, p := range target {
tmpMap[p.Key] = p.Value
}
for _, p := range src {
// new key value in src
val, ok := tmpMap[p.Key]
if !ok {
return false
}
if val != p.Value {
return false
}
}
return true
}
// EncodeMsgPositions serialize []*MsgPosition into string
func EncodeMsgPositions(msgPositions []*msgstream.MsgPosition) (string, error) {
if len(msgPositions) == 0 {
return "", nil
}
resByte, err := json.Marshal(msgPositions)
if err != nil {
return "", err
}
return string(resByte), nil
}
// DecodeMsgPositions deserialize string to []*MsgPosition
func DecodeMsgPositions(str string, msgPositions *[]*msgstream.MsgPosition) error {
if str == "" || str == "null" {
return nil
}
return json.Unmarshal([]byte(str), msgPositions)
}
func Int64TupleSliceToMap(s []common.Int64Tuple) map[int]common.Int64Tuple {
ret := make(map[int]common.Int64Tuple, len(s))
for i, e := range s {
ret[i] = e
}
return ret
}
func Int64TupleMapToSlice(s map[int]common.Int64Tuple) []common.Int64Tuple {
ret := make([]common.Int64Tuple, 0, len(s))
for _, e := range s {
ret = append(ret, e)
}
return ret
}
func CheckMsgType(got, expect commonpb.MsgType) error {
if got != expect {
return fmt.Errorf("invalid msg type, expect %s, but got %s", expect, got)
}
return nil
}
type TimeTravelRequest interface {
GetBase() *commonpb.MsgBase
GetTimeStamp() Timestamp
}
func getTravelTs(req TimeTravelRequest) Timestamp {
if req.GetTimeStamp() == 0 {
return typeutil.MaxTimestamp
}
return req.GetTimeStamp()
}
func isMaxTs(ts Timestamp) bool {
return ts == typeutil.MaxTimestamp
}
func getCollectionRateLimitConfigDefaultValue(configKey string) float64 {
switch configKey {
case common.CollectionInsertRateMaxKey:
return Params.QuotaConfig.DMLMaxInsertRatePerCollection.GetAsFloat()
case common.CollectionInsertRateMinKey:
return Params.QuotaConfig.DMLMinInsertRatePerCollection.GetAsFloat()
case common.CollectionUpsertRateMaxKey:
return Params.QuotaConfig.DMLMaxUpsertRatePerCollection.GetAsFloat()
case common.CollectionUpsertRateMinKey:
return Params.QuotaConfig.DMLMinUpsertRatePerCollection.GetAsFloat()
case common.CollectionDeleteRateMaxKey:
return Params.QuotaConfig.DMLMaxDeleteRatePerCollection.GetAsFloat()
case common.CollectionDeleteRateMinKey:
return Params.QuotaConfig.DMLMinDeleteRatePerCollection.GetAsFloat()
case common.CollectionBulkLoadRateMaxKey:
return Params.QuotaConfig.DMLMaxBulkLoadRatePerCollection.GetAsFloat()
case common.CollectionBulkLoadRateMinKey:
return Params.QuotaConfig.DMLMinBulkLoadRatePerCollection.GetAsFloat()
case common.CollectionQueryRateMaxKey:
return Params.QuotaConfig.DQLMaxQueryRatePerCollection.GetAsFloat()
case common.CollectionQueryRateMinKey:
return Params.QuotaConfig.DQLMinQueryRatePerCollection.GetAsFloat()
case common.CollectionSearchRateMaxKey:
return Params.QuotaConfig.DQLMaxSearchRatePerCollection.GetAsFloat()
case common.CollectionSearchRateMinKey:
return Params.QuotaConfig.DQLMinSearchRatePerCollection.GetAsFloat()
case common.CollectionDiskQuotaKey:
return Params.QuotaConfig.DiskQuotaPerCollection.GetAsFloat()
default:
return float64(0)
}
}
func getCollectionRateLimitConfig(properties map[string]string, configKey string) float64 {
return getRateLimitConfig(properties, configKey, getCollectionRateLimitConfigDefaultValue(configKey))
}
func getRateLimitConfig(properties map[string]string, configKey string, configValue float64) float64 {
megaBytes2Bytes := func(v float64) float64 {
return v * 1024.0 * 1024.0
}
toBytesIfNecessary := func(rate float64) float64 {
switch configKey {
case common.CollectionInsertRateMaxKey:
return megaBytes2Bytes(rate)
case common.CollectionInsertRateMinKey:
return megaBytes2Bytes(rate)
case common.CollectionUpsertRateMaxKey:
return megaBytes2Bytes(rate)
case common.CollectionUpsertRateMinKey:
return megaBytes2Bytes(rate)
case common.CollectionDeleteRateMaxKey:
return megaBytes2Bytes(rate)
case common.CollectionDeleteRateMinKey:
return megaBytes2Bytes(rate)
case common.CollectionBulkLoadRateMaxKey:
return megaBytes2Bytes(rate)
case common.CollectionBulkLoadRateMinKey:
return megaBytes2Bytes(rate)
case common.CollectionQueryRateMaxKey:
return rate
case common.CollectionQueryRateMinKey:
return rate
case common.CollectionSearchRateMaxKey:
return rate
case common.CollectionSearchRateMinKey:
return rate
case common.CollectionDiskQuotaKey:
return megaBytes2Bytes(rate)
default:
return float64(0)
}
}
v, ok := properties[configKey]
if ok {
rate, err := strconv.ParseFloat(v, 64)
if err != nil {
log.Warn("invalid configuration for collection dml rate",
zap.String("config item", configKey),
zap.String("config value", v))
return configValue
}
rateInBytes := toBytesIfNecessary(rate)
if rateInBytes < 0 {
return configValue
}
return rateInBytes
}
return configValue
}
func getQueryCoordMetrics(ctx context.Context, mixCoord types.MixCoord) (*metricsinfo.QueryCoordTopology, error) {
req, err := metricsinfo.ConstructRequestByMetricType(metricsinfo.SystemInfoMetrics)
if err != nil {
return nil, err
}
rsp, err := mixCoord.GetQcMetrics(ctx, req)
if err = merr.CheckRPCCall(rsp, err); err != nil {
return nil, err
}
queryCoordTopology := &metricsinfo.QueryCoordTopology{}
if err := metricsinfo.UnmarshalTopology(rsp.GetResponse(), queryCoordTopology); err != nil {
return nil, err
}
return queryCoordTopology, nil
}
func getDataCoordMetrics(ctx context.Context, mixCoord types.MixCoord) (*metricsinfo.DataCoordTopology, error) {
req, err := metricsinfo.ConstructRequestByMetricType(metricsinfo.SystemInfoMetrics)
if err != nil {
return nil, err
}
rsp, err := mixCoord.GetDcMetrics(ctx, req)
if err = merr.CheckRPCCall(rsp, err); err != nil {
return nil, err
}
dataCoordTopology := &metricsinfo.DataCoordTopology{}
if err = metricsinfo.UnmarshalTopology(rsp.GetResponse(), dataCoordTopology); err != nil {
return nil, err
}
return dataCoordTopology, nil
}
func getProxyMetrics(ctx context.Context, proxies proxyutil.ProxyClientManagerInterface) ([]*metricsinfo.ProxyInfos, error) {
resp, err := proxies.GetProxyMetrics(ctx)
if err != nil {
return nil, err
}
ret := make([]*metricsinfo.ProxyInfos, 0, len(resp))
for _, rsp := range resp {
proxyMetric := &metricsinfo.ProxyInfos{}
err = metricsinfo.UnmarshalComponentInfos(rsp.GetResponse(), proxyMetric)
if err != nil {
return nil, err
}
ret = append(ret, proxyMetric)
}
return ret, nil
}
func CheckTimeTickLagExceeded(ctx context.Context, mixcoord types.MixCoord, maxDelay time.Duration) error {
ctx, cancel := context.WithTimeout(ctx, GetMetricsTimeout)
defer cancel()
now := time.Now()
group := &errgroup.Group{}
queryNodeTTDelay := typeutil.NewConcurrentMap[string, time.Duration]()
dataNodeTTDelay := typeutil.NewConcurrentMap[string, time.Duration]()
group.Go(func() error {
queryCoordTopology, err := getQueryCoordMetrics(ctx, mixcoord)
if err != nil {
return err
}
for _, queryNodeMetric := range queryCoordTopology.Cluster.ConnectedNodes {
qm := queryNodeMetric.QuotaMetrics
if qm != nil {
if qm.Fgm.NumFlowGraph > 0 && qm.Fgm.MinFlowGraphChannel != "" {
minTt, _ := tsoutil.ParseTS(qm.Fgm.MinFlowGraphTt)
delay := now.Sub(minTt)
if delay.Milliseconds() >= maxDelay.Milliseconds() {
queryNodeTTDelay.Insert(qm.Fgm.MinFlowGraphChannel, delay)
}
}
}
}
return nil
})
// get Data cluster metrics
group.Go(func() error {
dataCoordTopology, err := getDataCoordMetrics(ctx, mixcoord)
if err != nil {
return err
}
for _, dataNodeMetric := range dataCoordTopology.Cluster.ConnectedDataNodes {
dm := dataNodeMetric.QuotaMetrics
if dm != nil {
if dm.Fgm.NumFlowGraph > 0 && dm.Fgm.MinFlowGraphChannel != "" {
minTt, _ := tsoutil.ParseTS(dm.Fgm.MinFlowGraphTt)
delay := now.Sub(minTt)
if delay.Milliseconds() >= maxDelay.Milliseconds() {
dataNodeTTDelay.Insert(dm.Fgm.MinFlowGraphChannel, delay)
}
}
}
}
return nil
})
err := group.Wait()
if err != nil {
return err
}
var maxLagChannel string
var maxLag time.Duration
findMaxLagChannel := func(params ...*typeutil.ConcurrentMap[string, time.Duration]) {
for _, param := range params {
param.Range(func(k string, v time.Duration) bool {
if v > maxLag {
maxLag = v
maxLagChannel = k
}
return true
})
}
}
var errStr string
findMaxLagChannel(queryNodeTTDelay)
if maxLag > 0 && len(maxLagChannel) != 0 {
errStr = fmt.Sprintf("query max timetick lag:%s on channel:%s", maxLag, maxLagChannel)
}
maxLagChannel = ""
maxLag = 0
findMaxLagChannel(dataNodeTTDelay)
if maxLag > 0 && len(maxLagChannel) != 0 {
if errStr != "" {
errStr += ", "
}
errStr += fmt.Sprintf("data max timetick lag:%s on channel:%s", maxLag, maxLagChannel)
}
if errStr != "" {
return fmt.Errorf("max timetick lag execced threhold: %s", errStr)
}
return nil
}
func checkFieldSchema(fieldSchemas []*schemapb.FieldSchema) error {
for _, fieldSchema := range fieldSchemas {
if fieldSchema.GetDataType() == schemapb.DataType_ArrayOfStruct {
msg := fmt.Sprintf("Invalid field type, type:%s, name:%s", fieldSchema.GetDataType().String(), fieldSchema.GetName())
return merr.WrapErrParameterInvalidMsg(msg)
}
if fieldSchema.GetDataType() == schemapb.DataType_ArrayOfVector {
msg := fmt.Sprintf("ArrayOfVector is only supported in struct array field, type:%s, name:%s", fieldSchema.GetDataType().String(), fieldSchema.GetName())
return merr.WrapErrParameterInvalidMsg(msg)
}
if fieldSchema.GetNullable() && typeutil.IsVectorType(fieldSchema.GetDataType()) {
msg := fmt.Sprintf("vector type not support null, type:%s, name:%s", fieldSchema.GetDataType().String(), fieldSchema.GetName())
return merr.WrapErrParameterInvalidMsg(msg)
}
if fieldSchema.GetNullable() && fieldSchema.IsPrimaryKey {
msg := fmt.Sprintf("primary field not support null, type:%s, name:%s", fieldSchema.GetDataType().String(), fieldSchema.GetName())
return merr.WrapErrParameterInvalidMsg(msg)
}
if fieldSchema.GetDefaultValue() != nil {
if fieldSchema.IsPrimaryKey {
msg := fmt.Sprintf("primary field not support default_value, type:%s, name:%s", fieldSchema.GetDataType().String(), fieldSchema.GetName())
return merr.WrapErrParameterInvalidMsg(msg)
}
dtype := fieldSchema.GetDataType()
if dtype == schemapb.DataType_Array || typeutil.IsVectorType(dtype) {
msg := fmt.Sprintf("type not support default_value, type:%s, name:%s", fieldSchema.GetDataType().String(), fieldSchema.GetName())
return merr.WrapErrParameterInvalidMsg(msg)
}
if dtype == schemapb.DataType_JSON && !fieldSchema.IsDynamic {
msg := fmt.Sprintf("type not support default_value, type:%s, name:%s", fieldSchema.GetDataType().String(), fieldSchema.GetName())
return merr.WrapErrParameterInvalidMsg(msg)
}
errTypeMismatch := func(fieldName, fieldType, defaultValueType string) error {
msg := fmt.Sprintf("type (%s) of field (%s) is not equal to the type(%s) of default_value", fieldType, fieldName, defaultValueType)
return merr.WrapErrParameterInvalidMsg(msg)
}
switch fieldSchema.GetDefaultValue().Data.(type) {
case *schemapb.ValueField_BoolData:
if dtype != schemapb.DataType_Bool {
return errTypeMismatch(fieldSchema.GetName(), dtype.String(), "DataType_Bool")
}
case *schemapb.ValueField_IntData:
if dtype != schemapb.DataType_Int32 && dtype != schemapb.DataType_Int16 && dtype != schemapb.DataType_Int8 {
return errTypeMismatch(fieldSchema.GetName(), dtype.String(), "DataType_Int")
}
defaultValue := fieldSchema.GetDefaultValue().GetIntData()
if dtype == schemapb.DataType_Int16 {
if defaultValue > math.MaxInt16 || defaultValue < math.MinInt16 {
return merr.WrapErrParameterInvalidRange(math.MinInt16, math.MaxInt16, defaultValue, "default value out of range")
}
}
if dtype == schemapb.DataType_Int8 {
if defaultValue > math.MaxInt8 || defaultValue < math.MinInt8 {
return merr.WrapErrParameterInvalidRange(math.MinInt8, math.MaxInt8, defaultValue, "default value out of range")
}
}
case *schemapb.ValueField_LongData:
if dtype != schemapb.DataType_Int64 {
return errTypeMismatch(fieldSchema.GetName(), dtype.String(), "DataType_Int64")
}
case *schemapb.ValueField_FloatData:
if dtype != schemapb.DataType_Float {
return errTypeMismatch(fieldSchema.GetName(), dtype.String(), "DataType_Float")
}
case *schemapb.ValueField_DoubleData:
if dtype != schemapb.DataType_Double {
return errTypeMismatch(fieldSchema.GetName(), dtype.String(), "DataType_Double")
}
case *schemapb.ValueField_TimestamptzData:
if dtype != schemapb.DataType_Timestamptz {
return errTypeMismatch(fieldSchema.GetName(), dtype.String(), "DataType_Timestamptz")
}
case *schemapb.ValueField_StringData:
if dtype != schemapb.DataType_VarChar {
return errTypeMismatch(fieldSchema.GetName(), dtype.String(), "DataType_VarChar")
}
maxLength, err := parameterutil.GetMaxLength(fieldSchema)
if err != nil {
return err
}
defaultValueLength := len(fieldSchema.GetDefaultValue().GetStringData())
if int64(defaultValueLength) > maxLength {
msg := fmt.Sprintf("the length (%d) of string exceeds max length (%d)", defaultValueLength, maxLength)
return merr.WrapErrParameterInvalid("valid length string", "string length exceeds max length", msg)
}
case *schemapb.ValueField_BytesData:
if dtype != schemapb.DataType_JSON {
return errTypeMismatch(fieldSchema.GetName(), dtype.String(), "DataType_SJON")
}
defVal := fieldSchema.GetDefaultValue().GetBytesData()
jsonData := make(map[string]interface{})
if err := json.Unmarshal(defVal, &jsonData); err != nil {
log.Info("invalid default json value, milvus only support json map",
zap.ByteString("data", defVal),
zap.Error(err),
)
return merr.WrapErrParameterInvalidMsg(err.Error())
}
default:
panic("default value unsupport data type")
}
}
if err := checkDupKvPairs(fieldSchema.GetTypeParams(), "type"); err != nil {
return err
}
if err := checkDupKvPairs(fieldSchema.GetIndexParams(), "index"); err != nil {
return err
}
}
return nil
}
func checkStructArrayFieldSchema(schemas []*schemapb.StructArrayFieldSchema) error {
for _, schema := range schemas {
if len(schema.GetFields()) == 0 {
return merr.WrapErrParameterInvalidMsg("empty fields in StructArrayField is not allowed")
}
for _, field := range schema.GetFields() {
if field.GetDataType() != schemapb.DataType_Array && field.GetDataType() != schemapb.DataType_ArrayOfVector {
msg := fmt.Sprintf("Fields in StructArrayField can only be array or array of vector, but field %s is %s", field.Name, field.DataType.String())
return merr.WrapErrParameterInvalidMsg(msg)
}
if field.IsPartitionKey || field.IsPrimaryKey {
msg := fmt.Sprintf("partition key or primary key can not be in struct array field. data type:%s, element type:%s, name:%s",
field.DataType.String(), field.ElementType.String(), field.Name)
return merr.WrapErrParameterInvalidMsg(msg)
}
if field.GetNullable() && typeutil.IsVectorType(field.ElementType) {
msg := fmt.Sprintf("vector type not support null, data type:%s, element type:%s, name:%s",
field.DataType.String(), field.ElementType.String(), field.Name)
return merr.WrapErrParameterInvalidMsg(msg)
}
if field.GetDefaultValue() != nil {
msg := fmt.Sprintf("fields in struct array field not support default_value, data type:%s, element type:%s, name:%s",
field.DataType.String(), field.ElementType.String(), field.Name)
return merr.WrapErrParameterInvalidMsg(msg)
}
if err := checkDupKvPairs(field.GetTypeParams(), "type"); err != nil {
return err
}
if err := checkDupKvPairs(field.GetIndexParams(), "index"); err != nil {
return err
}
}
}
return nil
}
func checkDupKvPairs(params []*commonpb.KeyValuePair, paramType string) error {
set := typeutil.NewSet[string]()
for _, kv := range params {
if set.Contain(kv.GetKey()) {
return merr.WrapErrParameterInvalidMsg("duplicated %s param key \"%s\"", paramType, kv.GetKey())
}
set.Insert(kv.GetKey())
}
return nil
}
func validateFieldDataType(fieldSchemas []*schemapb.FieldSchema) error {
for _, field := range fieldSchemas {
if _, ok := schemapb.DataType_name[int32(field.GetDataType())]; !ok || field.GetDataType() == schemapb.DataType_None {
return merr.WrapErrParameterInvalid("Invalid field", fmt.Sprintf("field data type: %s is not supported", field.GetDataType()))
}
}
return nil
}
func validateStructArrayFieldDataType(fieldSchemas []*schemapb.StructArrayFieldSchema) error {
for _, field := range fieldSchemas {
if len(field.Fields) == 0 {
return merr.WrapErrParameterInvalid("Invalid field", "empty fields in StructArrayField")
}
for _, subField := range field.GetFields() {
if subField.GetDataType() != schemapb.DataType_Array && subField.GetDataType() != schemapb.DataType_ArrayOfVector {
return fmt.Errorf("Fields in StructArrayField can only be array or array of vector, but field %s is %s", subField.Name, subField.DataType.String())
}
if subField.GetElementType() == schemapb.DataType_ArrayOfStruct || subField.GetElementType() == schemapb.DataType_ArrayOfVector ||
subField.GetElementType() == schemapb.DataType_Array {
return fmt.Errorf("Nested array is not supported %s", subField.Name)
}
if _, ok := schemapb.DataType_name[int32(subField.GetElementType())]; !ok || subField.GetElementType() == schemapb.DataType_None {
return merr.WrapErrParameterInvalid("Invalid field", fmt.Sprintf("field data type: %s is not supported", subField.GetElementType()))
}
}
}
return nil
}
func nextFieldID(coll *model.Collection) int64 {
maxFieldID := int64(common.StartOfUserFieldID)
for _, field := range coll.Fields {
if field.FieldID > maxFieldID {
maxFieldID = field.FieldID
}
}
return maxFieldID + 1
}
func getDefaultTimezoneVal(props ...*commonpb.KeyValuePair) (bool, string) {
for _, p := range props {
// used in collection or database
if p.GetKey() == common.DatabaseDefaultTimezone || p.GetKey() == common.CollectionDefaultTimezone {
return true, p.Value
}
}
return false, ""
}