Adding upstream version 1.34.4.
Signed-off-by: Daniel Baumann <daniel@debian.org>
This commit is contained in:
parent
e393c3af3f
commit
4978089aab
4963 changed files with 677545 additions and 0 deletions
631
plugins/outputs/timestream/timestream.go
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631
plugins/outputs/timestream/timestream.go
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//go:generate ../../../tools/readme_config_includer/generator
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package timestream
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import (
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"context"
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_ "embed"
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"errors"
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"fmt"
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"math"
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"reflect"
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"strconv"
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"sync"
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"time"
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"github.com/aws/aws-sdk-go-v2/aws"
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"github.com/aws/aws-sdk-go-v2/config"
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"github.com/aws/aws-sdk-go-v2/service/timestreamwrite"
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"github.com/aws/aws-sdk-go-v2/service/timestreamwrite/types"
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"github.com/aws/smithy-go"
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"github.com/influxdata/telegraf"
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common_aws "github.com/influxdata/telegraf/plugins/common/aws"
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"github.com/influxdata/telegraf/plugins/outputs"
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)
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//go:embed sample.conf
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var sampleConfig string
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type (
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Timestream struct {
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MappingMode string `toml:"mapping_mode"`
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DescribeDatabaseOnStart bool `toml:"describe_database_on_start"`
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DatabaseName string `toml:"database_name"`
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SingleTableName string `toml:"single_table_name"`
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SingleTableDimensionNameForTelegrafMeasurementName string `toml:"single_table_dimension_name_for_telegraf_measurement_name"`
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UseMultiMeasureRecords bool `toml:"use_multi_measure_records"`
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MeasureNameForMultiMeasureRecords string `toml:"measure_name_for_multi_measure_records"`
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CreateTableIfNotExists bool `toml:"create_table_if_not_exists"`
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CreateTableMagneticStoreRetentionPeriodInDays int64 `toml:"create_table_magnetic_store_retention_period_in_days"`
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CreateTableMemoryStoreRetentionPeriodInHours int64 `toml:"create_table_memory_store_retention_period_in_hours"`
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CreateTableTags map[string]string `toml:"create_table_tags"`
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MaxWriteGoRoutinesCount int `toml:"max_write_go_routines"`
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Log telegraf.Logger
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svc WriteClient
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common_aws.CredentialConfig
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}
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WriteClient interface {
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CreateTable(context.Context, *timestreamwrite.CreateTableInput, ...func(*timestreamwrite.Options)) (*timestreamwrite.CreateTableOutput, error)
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WriteRecords(context.Context, *timestreamwrite.WriteRecordsInput, ...func(*timestreamwrite.Options)) (*timestreamwrite.WriteRecordsOutput, error)
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DescribeDatabase(
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context.Context,
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*timestreamwrite.DescribeDatabaseInput,
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...func(*timestreamwrite.Options),
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) (*timestreamwrite.DescribeDatabaseOutput, error)
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}
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)
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// Mapping modes specify how Telegraf model should be represented in Timestream model.
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// See sample config for more details.
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const (
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MappingModeSingleTable = "single-table"
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MappingModeMultiTable = "multi-table"
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)
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// MaxRecordsPerCall reflects Timestream limit of WriteRecords API call
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const MaxRecordsPerCall = 100
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// Default value for maximum number of parallel go routines to ingest/write data
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// when max_write_go_routines is not specified in the config
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const MaxWriteRoutinesDefault = 1
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// WriteFactory function provides a way to mock the client instantiation for testing purposes.
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var WriteFactory = func(credentialConfig *common_aws.CredentialConfig) (WriteClient, error) {
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awsCreds, awsErr := credentialConfig.Credentials()
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if awsErr != nil {
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panic("Unable to load credentials config " + awsErr.Error())
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}
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cfg, cfgErr := config.LoadDefaultConfig(context.TODO())
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if cfgErr != nil {
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panic("Unable to load SDK config for Timestream " + cfgErr.Error())
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}
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if credentialConfig.EndpointURL != "" && credentialConfig.Region != "" {
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cfg, err := config.LoadDefaultConfig(context.TODO())
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if err != nil {
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panic("unable to load SDK config for Timestream " + err.Error())
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}
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cfg.Credentials = awsCreds.Credentials
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return timestreamwrite.NewFromConfig(cfg, func(o *timestreamwrite.Options) {
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o.BaseEndpoint = &credentialConfig.EndpointURL
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o.Region = credentialConfig.Region
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o.EndpointDiscovery.EnableEndpointDiscovery = aws.EndpointDiscoveryDisabled
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}), nil
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}
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cfg.Credentials = awsCreds.Credentials
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return timestreamwrite.NewFromConfig(cfg, func(o *timestreamwrite.Options) {
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o.Region = credentialConfig.Region
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}), nil
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}
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func (*Timestream) SampleConfig() string {
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return sampleConfig
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}
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func (t *Timestream) Connect() error {
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if t.DatabaseName == "" {
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return errors.New("'database_name' key is required")
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}
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if t.MappingMode == "" {
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return errors.New("'mapping_mode' key is required")
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}
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if t.MappingMode != MappingModeSingleTable && t.MappingMode != MappingModeMultiTable {
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return fmt.Errorf("correct MappingMode key values are: %q, %q",
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MappingModeSingleTable, MappingModeMultiTable)
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}
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if t.MappingMode == MappingModeSingleTable {
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if t.SingleTableName == "" {
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return fmt.Errorf("in %q mapping mode, SingleTableName key is required", MappingModeSingleTable)
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}
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if t.SingleTableDimensionNameForTelegrafMeasurementName == "" && !t.UseMultiMeasureRecords {
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return fmt.Errorf("in %q mapping mode, SingleTableDimensionNameForTelegrafMeasurementName key is required",
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MappingModeSingleTable)
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}
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// When using MappingModeSingleTable with UseMultiMeasureRecords enabled,
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// measurementName ( from line protocol ) is mapped to multiMeasure name in timestream.
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if t.UseMultiMeasureRecords && t.MeasureNameForMultiMeasureRecords != "" {
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return fmt.Errorf("in %q mapping mode, with multi-measure enabled, key MeasureNameForMultiMeasureRecords is invalid", MappingModeMultiTable)
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}
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}
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if t.MappingMode == MappingModeMultiTable {
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if t.SingleTableName != "" {
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return fmt.Errorf("in %q mapping mode, do not specify SingleTableName key", MappingModeMultiTable)
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}
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if t.SingleTableDimensionNameForTelegrafMeasurementName != "" {
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return fmt.Errorf("in %q mapping mode, do not specify SingleTableDimensionNameForTelegrafMeasurementName key", MappingModeMultiTable)
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}
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// When using MappingModeMultiTable ( data is ingested to multiple tables ) with
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// UseMultiMeasureRecords enabled, measurementName is used as tableName in timestream and
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// we require MeasureNameForMultiMeasureRecords to be configured.
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if t.UseMultiMeasureRecords && t.MeasureNameForMultiMeasureRecords == "" {
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return fmt.Errorf("in %q mapping mode, with multi-measure enabled, key MeasureNameForMultiMeasureRecords is required", MappingModeMultiTable)
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}
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}
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if t.CreateTableIfNotExists {
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if t.CreateTableMagneticStoreRetentionPeriodInDays < 1 {
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return errors.New("if Telegraf should create tables, CreateTableMagneticStoreRetentionPeriodInDays key should have a value greater than 0")
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}
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if t.CreateTableMemoryStoreRetentionPeriodInHours < 1 {
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return errors.New("if Telegraf should create tables, CreateTableMemoryStoreRetentionPeriodInHours key should have a value greater than 0")
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}
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}
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if t.MaxWriteGoRoutinesCount <= 0 {
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t.MaxWriteGoRoutinesCount = MaxWriteRoutinesDefault
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}
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t.Log.Infof("Constructing Timestream client for %q mode", t.MappingMode)
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svc, err := WriteFactory(&t.CredentialConfig)
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if err != nil {
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return err
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}
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if t.DescribeDatabaseOnStart {
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t.Log.Infof("Describing database %q in region %q", t.DatabaseName, t.Region)
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describeDatabaseInput := ×treamwrite.DescribeDatabaseInput{
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DatabaseName: aws.String(t.DatabaseName),
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}
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describeDatabaseOutput, err := svc.DescribeDatabase(context.Background(), describeDatabaseInput)
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if err != nil {
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t.Log.Errorf("Couldn't describe database %q. Check error, fix permissions, connectivity, create database.", t.DatabaseName)
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return err
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}
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t.Log.Infof("Describe database %q returned %v", t.DatabaseName, describeDatabaseOutput)
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}
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t.svc = svc
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return nil
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}
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func (*Timestream) Close() error {
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return nil
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}
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func init() {
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outputs.Add("timestream", func() telegraf.Output {
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return &Timestream{}
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})
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}
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func (t *Timestream) Write(metrics []telegraf.Metric) error {
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writeRecordsInputs := t.TransformMetrics(metrics)
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maxWriteJobs := t.MaxWriteGoRoutinesCount
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numberOfWriteRecordsInputs := len(writeRecordsInputs)
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if numberOfWriteRecordsInputs < maxWriteJobs {
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maxWriteJobs = numberOfWriteRecordsInputs
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}
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var wg sync.WaitGroup
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errs := make(chan error, numberOfWriteRecordsInputs)
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writeJobs := make(chan *timestreamwrite.WriteRecordsInput, maxWriteJobs)
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start := time.Now()
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for i := 0; i < maxWriteJobs; i++ {
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wg.Add(1)
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go func() {
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defer wg.Done()
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for writeJob := range writeJobs {
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if err := t.writeToTimestream(writeJob, true); err != nil {
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errs <- err
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}
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}
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}()
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}
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for i := range writeRecordsInputs {
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writeJobs <- writeRecordsInputs[i]
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}
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// Close channel once all jobs are added
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close(writeJobs)
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wg.Wait()
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elapsed := time.Since(start)
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close(errs)
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t.Log.Infof("##WriteToTimestream - Metrics size: %d request size: %d time(ms): %d",
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len(metrics), len(writeRecordsInputs), elapsed.Milliseconds())
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// On partial failures, Telegraf will reject the entire batch of metrics and
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// retry. writeToTimestream will return retryable exceptions only.
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for err := range errs {
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if err != nil {
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return err
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}
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}
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return nil
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}
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func (t *Timestream) writeToTimestream(writeRecordsInput *timestreamwrite.WriteRecordsInput, resourceNotFoundRetry bool) error {
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_, err := t.svc.WriteRecords(context.Background(), writeRecordsInput)
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if err != nil {
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// Telegraf will retry ingesting the metrics if an error is returned from the plugin.
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// Therefore, return error only for retryable exceptions: ThrottlingException and 5xx exceptions.
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var notFound *types.ResourceNotFoundException
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if errors.As(err, ¬Found) {
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if resourceNotFoundRetry {
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t.Log.Warnf("Failed to write to Timestream database %q table %q: %s",
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t.DatabaseName, *writeRecordsInput.TableName, notFound)
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return t.createTableAndRetry(writeRecordsInput)
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}
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t.logWriteToTimestreamError(notFound, writeRecordsInput.TableName)
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// log error and return error to telegraf to retry in next flush interval
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// We need this is to avoid data drop when there are no tables present in the database
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return fmt.Errorf("failed to write to Timestream database %q table %q: %w", t.DatabaseName, *writeRecordsInput.TableName, err)
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}
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var rejected *types.RejectedRecordsException
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if errors.As(err, &rejected) {
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t.logWriteToTimestreamError(err, writeRecordsInput.TableName)
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for _, rr := range rejected.RejectedRecords {
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t.Log.Errorf("reject reason: %q, record index: '%d'", aws.ToString(rr.Reason), rr.RecordIndex)
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}
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return nil
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}
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var throttling *types.ThrottlingException
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if errors.As(err, &throttling) {
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return fmt.Errorf("unable to write to Timestream database %q table %q: %w",
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t.DatabaseName, *writeRecordsInput.TableName, throttling)
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}
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var internal *types.InternalServerException
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if errors.As(err, &internal) {
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return fmt.Errorf("unable to write to Timestream database %q table %q: %w",
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t.DatabaseName, *writeRecordsInput.TableName, internal)
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}
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var operation *smithy.OperationError
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if !errors.As(err, &operation) {
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// Retry other, non-aws errors.
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return fmt.Errorf("unable to write to Timestream database %q table %q: %w",
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t.DatabaseName, *writeRecordsInput.TableName, err)
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}
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t.logWriteToTimestreamError(err, writeRecordsInput.TableName)
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}
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return nil
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}
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func (t *Timestream) logWriteToTimestreamError(err error, tableName *string) {
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t.Log.Errorf("Failed to write to Timestream database %q table %q: %s. Skipping metric!",
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t.DatabaseName, *tableName, err.Error())
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}
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func (t *Timestream) createTableAndRetry(writeRecordsInput *timestreamwrite.WriteRecordsInput) error {
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if t.CreateTableIfNotExists {
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t.Log.Infof(
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"Trying to create table %q in database %q, as 'CreateTableIfNotExists' config key is 'true'.",
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*writeRecordsInput.TableName,
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t.DatabaseName,
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)
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err := t.createTable(writeRecordsInput.TableName)
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if err == nil {
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t.Log.Infof("Table %q in database %q created. Retrying writing.", *writeRecordsInput.TableName, t.DatabaseName)
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return t.writeToTimestream(writeRecordsInput, false)
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}
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t.Log.Errorf("Failed to create table %q in database %q: %s. Skipping metric!", *writeRecordsInput.TableName, t.DatabaseName, err.Error())
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} else {
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t.Log.Errorf("Not trying to create table %q in database %q, as 'CreateTableIfNotExists' config key is 'false'. Skipping metric!",
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*writeRecordsInput.TableName, t.DatabaseName)
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}
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return nil
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}
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// createTable creates a Timestream table according to the configuration.
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func (t *Timestream) createTable(tableName *string) error {
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createTableInput := ×treamwrite.CreateTableInput{
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DatabaseName: aws.String(t.DatabaseName),
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TableName: aws.String(*tableName),
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RetentionProperties: &types.RetentionProperties{
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MagneticStoreRetentionPeriodInDays: &t.CreateTableMagneticStoreRetentionPeriodInDays,
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MemoryStoreRetentionPeriodInHours: &t.CreateTableMemoryStoreRetentionPeriodInHours,
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},
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}
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tags := make([]types.Tag, 0, len(t.CreateTableTags))
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for key, val := range t.CreateTableTags {
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tags = append(tags, types.Tag{
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Key: aws.String(key),
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Value: aws.String(val),
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})
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}
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createTableInput.Tags = tags
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_, err := t.svc.CreateTable(context.Background(), createTableInput)
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if err != nil {
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var e *types.ConflictException
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if errors.As(err, &e) {
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// if the table was created in the meantime, it's ok.
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return nil
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}
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return err
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}
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return nil
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}
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// TransformMetrics transforms a collection of Telegraf Metrics into write requests to Timestream.
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// Telegraf Metrics are grouped by Name, Tag Keys and Time to use Timestream CommonAttributes.
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// Returns collection of write requests to be performed to Timestream.
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func (t *Timestream) TransformMetrics(metrics []telegraf.Metric) []*timestreamwrite.WriteRecordsInput {
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writeRequests := make(map[string]*timestreamwrite.WriteRecordsInput, len(metrics))
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for _, m := range metrics {
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// build MeasureName, MeasureValue, MeasureValueType
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records := t.buildWriteRecords(m)
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if len(records) == 0 {
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continue
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}
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var tableName string
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if t.MappingMode == MappingModeSingleTable {
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tableName = t.SingleTableName
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}
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if t.MappingMode == MappingModeMultiTable {
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tableName = m.Name()
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}
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if curr, ok := writeRequests[tableName]; !ok {
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newWriteRecord := ×treamwrite.WriteRecordsInput{
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DatabaseName: aws.String(t.DatabaseName),
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TableName: aws.String(tableName),
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Records: records,
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CommonAttributes: &types.Record{},
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}
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writeRequests[tableName] = newWriteRecord
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} else {
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curr.Records = append(curr.Records, records...)
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}
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}
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// Create result as array of WriteRecordsInput. Split requests over records count limit to smaller requests.
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var result []*timestreamwrite.WriteRecordsInput
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for _, writeRequest := range writeRequests {
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if len(writeRequest.Records) > MaxRecordsPerCall {
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for _, recordsPartition := range partitionRecords(MaxRecordsPerCall, writeRequest.Records) {
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newWriteRecord := ×treamwrite.WriteRecordsInput{
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DatabaseName: writeRequest.DatabaseName,
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TableName: writeRequest.TableName,
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Records: recordsPartition,
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CommonAttributes: writeRequest.CommonAttributes,
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}
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result = append(result, newWriteRecord)
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}
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} else {
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result = append(result, writeRequest)
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}
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}
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return result
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}
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func (t *Timestream) buildDimensions(point telegraf.Metric) []types.Dimension {
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dimensions := make([]types.Dimension, 0, len(point.Tags()))
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for tagName, tagValue := range point.Tags() {
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dimension := types.Dimension{
|
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Name: aws.String(tagName),
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Value: aws.String(tagValue),
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}
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dimensions = append(dimensions, dimension)
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||||
}
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if t.MappingMode == MappingModeSingleTable && !t.UseMultiMeasureRecords {
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dimension := types.Dimension{
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Name: aws.String(t.SingleTableDimensionNameForTelegrafMeasurementName),
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Value: aws.String(point.Name()),
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||||
}
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dimensions = append(dimensions, dimension)
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}
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return dimensions
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}
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// buildWriteRecords builds the Timestream write records from Metric Fields only.
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// Tags and time are not included - common attributes are built separately.
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||||
// Records with unsupported Metric Field type are skipped.
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// It returns an array of Timestream write records.
|
||||
func (t *Timestream) buildWriteRecords(point telegraf.Metric) []types.Record {
|
||||
if t.UseMultiMeasureRecords {
|
||||
return t.buildMultiMeasureWriteRecords(point)
|
||||
}
|
||||
return t.buildSingleWriteRecords(point)
|
||||
}
|
||||
|
||||
func (t *Timestream) buildSingleWriteRecords(point telegraf.Metric) []types.Record {
|
||||
dimensions := t.buildDimensions(point)
|
||||
records := make([]types.Record, 0, len(point.Fields()))
|
||||
for fieldName, fieldValue := range point.Fields() {
|
||||
stringFieldValue, stringFieldValueType, ok := convertValue(fieldValue)
|
||||
if !ok {
|
||||
t.Log.Warnf("Skipping field %q. The type %q is not supported in Timestream as MeasureValue. "+
|
||||
"Supported values are: [int, int8, int16, int32, int64, uint, uint8, uint16, uint32, uint64, float32, float64, bool]",
|
||||
fieldName, reflect.TypeOf(fieldValue))
|
||||
continue
|
||||
}
|
||||
|
||||
timeUnit, timeValue := getTimestreamTime(point.Time())
|
||||
|
||||
record := types.Record{
|
||||
MeasureName: aws.String(fieldName),
|
||||
MeasureValueType: stringFieldValueType,
|
||||
MeasureValue: aws.String(stringFieldValue),
|
||||
Dimensions: dimensions,
|
||||
Time: aws.String(timeValue),
|
||||
TimeUnit: timeUnit,
|
||||
}
|
||||
records = append(records, record)
|
||||
}
|
||||
return records
|
||||
}
|
||||
|
||||
func (t *Timestream) buildMultiMeasureWriteRecords(point telegraf.Metric) []types.Record {
|
||||
var records []types.Record
|
||||
dimensions := t.buildDimensions(point)
|
||||
|
||||
multiMeasureName := t.MeasureNameForMultiMeasureRecords
|
||||
if t.MappingMode == MappingModeSingleTable {
|
||||
multiMeasureName = point.Name()
|
||||
}
|
||||
|
||||
multiMeasures := make([]types.MeasureValue, 0, len(point.Fields()))
|
||||
for fieldName, fieldValue := range point.Fields() {
|
||||
stringFieldValue, stringFieldValueType, ok := convertValue(fieldValue)
|
||||
if !ok {
|
||||
t.Log.Warnf("Skipping field %q. The type %q is not supported in Timestream as MeasureValue. "+
|
||||
"Supported values are: [int, int8, int16, int32, int64, uint, uint8, uint16, uint32, uint64, float32, float64, bool]",
|
||||
fieldName, reflect.TypeOf(fieldValue))
|
||||
continue
|
||||
}
|
||||
multiMeasures = append(multiMeasures, types.MeasureValue{
|
||||
Name: aws.String(fieldName),
|
||||
Type: stringFieldValueType,
|
||||
Value: aws.String(stringFieldValue),
|
||||
})
|
||||
}
|
||||
|
||||
timeUnit, timeValue := getTimestreamTime(point.Time())
|
||||
|
||||
record := types.Record{
|
||||
MeasureName: aws.String(multiMeasureName),
|
||||
MeasureValueType: "MULTI",
|
||||
MeasureValues: multiMeasures,
|
||||
Dimensions: dimensions,
|
||||
Time: aws.String(timeValue),
|
||||
TimeUnit: timeUnit,
|
||||
}
|
||||
|
||||
records = append(records, record)
|
||||
|
||||
return records
|
||||
}
|
||||
|
||||
// partitionRecords splits the Timestream records into smaller slices of a max size
|
||||
// so that are under the limit for the Timestream API call.
|
||||
// It returns the array of array of records.
|
||||
func partitionRecords(size int, records []types.Record) [][]types.Record {
|
||||
numberOfPartitions := len(records) / size
|
||||
if len(records)%size != 0 {
|
||||
numberOfPartitions++
|
||||
}
|
||||
|
||||
partitions := make([][]types.Record, 0, numberOfPartitions)
|
||||
for i := 0; i < numberOfPartitions; i++ {
|
||||
start := size * i
|
||||
end := size * (i + 1)
|
||||
if end > len(records) {
|
||||
end = len(records)
|
||||
}
|
||||
|
||||
partitions = append(partitions, records[start:end])
|
||||
}
|
||||
|
||||
return partitions
|
||||
}
|
||||
|
||||
// getTimestreamTime produces Timestream TimeUnit and TimeValue with minimum possible granularity
|
||||
// while maintaining the same information.
|
||||
func getTimestreamTime(t time.Time) (timeUnit types.TimeUnit, timeValue string) {
|
||||
nanosTime := t.UnixNano()
|
||||
if nanosTime%1e9 == 0 {
|
||||
timeUnit = types.TimeUnitSeconds
|
||||
timeValue = strconv.FormatInt(nanosTime/1e9, 10)
|
||||
} else if nanosTime%1e6 == 0 {
|
||||
timeUnit = types.TimeUnitMilliseconds
|
||||
timeValue = strconv.FormatInt(nanosTime/1e6, 10)
|
||||
} else if nanosTime%1e3 == 0 {
|
||||
timeUnit = types.TimeUnitMicroseconds
|
||||
timeValue = strconv.FormatInt(nanosTime/1e3, 10)
|
||||
} else {
|
||||
timeUnit = types.TimeUnitNanoseconds
|
||||
timeValue = strconv.FormatInt(nanosTime, 10)
|
||||
}
|
||||
return timeUnit, timeValue
|
||||
}
|
||||
|
||||
// convertValue converts single Field value from Telegraf Metric and produces
|
||||
// value, valueType Timestream representation.
|
||||
func convertValue(v interface{}) (value string, valueType types.MeasureValueType, ok bool) {
|
||||
ok = true
|
||||
|
||||
switch t := v.(type) {
|
||||
case int:
|
||||
valueType = types.MeasureValueTypeBigint
|
||||
value = strconv.FormatInt(int64(t), 10)
|
||||
case int8:
|
||||
valueType = types.MeasureValueTypeBigint
|
||||
value = strconv.FormatInt(int64(t), 10)
|
||||
case int16:
|
||||
valueType = types.MeasureValueTypeBigint
|
||||
value = strconv.FormatInt(int64(t), 10)
|
||||
case int32:
|
||||
valueType = types.MeasureValueTypeBigint
|
||||
value = strconv.FormatInt(int64(t), 10)
|
||||
case int64:
|
||||
valueType = types.MeasureValueTypeBigint
|
||||
value = strconv.FormatInt(t, 10)
|
||||
case uint:
|
||||
valueType = types.MeasureValueTypeBigint
|
||||
value = strconv.FormatUint(uint64(t), 10)
|
||||
case uint8:
|
||||
valueType = types.MeasureValueTypeBigint
|
||||
value = strconv.FormatUint(uint64(t), 10)
|
||||
case uint16:
|
||||
valueType = types.MeasureValueTypeBigint
|
||||
value = strconv.FormatUint(uint64(t), 10)
|
||||
case uint32:
|
||||
valueType = types.MeasureValueTypeBigint
|
||||
value = strconv.FormatUint(uint64(t), 10)
|
||||
case uint64:
|
||||
valueType = types.MeasureValueTypeBigint
|
||||
if t <= uint64(math.MaxInt64) {
|
||||
value = strconv.FormatUint(t, 10)
|
||||
} else {
|
||||
value = strconv.FormatUint(math.MaxInt64, 10)
|
||||
}
|
||||
case float32:
|
||||
valueType = types.MeasureValueTypeDouble
|
||||
value = strconv.FormatFloat(float64(t), 'f', -1, 32)
|
||||
case float64:
|
||||
valueType = types.MeasureValueTypeDouble
|
||||
value = strconv.FormatFloat(t, 'f', -1, 64)
|
||||
case bool:
|
||||
valueType = types.MeasureValueTypeBoolean
|
||||
if t {
|
||||
value = "true"
|
||||
} else {
|
||||
value = "false"
|
||||
}
|
||||
case string:
|
||||
valueType = types.MeasureValueTypeVarchar
|
||||
value = t
|
||||
default:
|
||||
// Skip unsupported type.
|
||||
ok = false
|
||||
return value, valueType, ok
|
||||
}
|
||||
return value, valueType, ok
|
||||
}
|
Loading…
Add table
Add a link
Reference in a new issue