package kinesis import ( "log" "time" "github.com/aws/aws-sdk-go/aws" "github.com/aws/aws-sdk-go/service/kinesis" "github.com/satori/go.uuid" "github.com/influxdata/telegraf" internalaws "github.com/influxdata/telegraf/internal/config/aws" "github.com/influxdata/telegraf/plugins/outputs" "github.com/influxdata/telegraf/plugins/serializers" ) type ( KinesisOutput struct { Region string `toml:"region"` AccessKey string `toml:"access_key"` SecretKey string `toml:"secret_key"` RoleARN string `toml:"role_arn"` Profile string `toml:"profile"` Filename string `toml:"shared_credential_file"` Token string `toml:"token"` EndpointURL string `toml:"endpoint_url"` StreamName string `toml:"streamname"` PartitionKey string `toml:"partitionkey"` RandomPartitionKey bool `toml:"use_random_partitionkey"` Partition *Partition `toml:"partition"` Debug bool `toml:"debug"` svc *kinesis.Kinesis serializer serializers.Serializer } Partition struct { Method string `toml:"method"` Key string `toml:"key"` } ) var sampleConfig = ` ## Amazon REGION of kinesis endpoint. region = "ap-southeast-2" ## Amazon Credentials ## Credentials are loaded in the following order ## 1) Assumed credentials via STS if role_arn is specified ## 2) explicit credentials from 'access_key' and 'secret_key' ## 3) shared profile from 'profile' ## 4) environment variables ## 5) shared credentials file ## 6) EC2 Instance Profile #access_key = "" #secret_key = "" #token = "" #role_arn = "" #profile = "" #shared_credential_file = "" ## Endpoint to make request against, the correct endpoint is automatically ## determined and this option should only be set if you wish to override the ## default. ## ex: endpoint_url = "http://localhost:8000" # endpoint_url = "" ## Kinesis StreamName must exist prior to starting telegraf. streamname = "StreamName" ## DEPRECATED: PartitionKey as used for sharding data. partitionkey = "PartitionKey" ## DEPRECATED: If set the paritionKey will be a random UUID on every put. ## This allows for scaling across multiple shards in a stream. ## This will cause issues with ordering. use_random_partitionkey = false ## The partition key can be calculated using one of several methods: ## ## Use a static value for all writes: # [outputs.kinesis.partition] # method = "static" # key = "howdy" # ## Use a random partition key on each write: # [outputs.kinesis.partition] # method = "random" # ## Use the measurement name as the partition key: # [outputs.kinesis.partition] # method = "measurement" # ## Use the value of a tag for all writes, if the tag is not set the empty ## string will be used: # [outputs.kinesis.partition] # method = "tag" # key = "host" ## Data format to output. ## Each data format has its own unique set of configuration options, read ## more about them here: ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md data_format = "influx" ## debug will show upstream aws messages. debug = false ` func (k *KinesisOutput) SampleConfig() string { return sampleConfig } func (k *KinesisOutput) Description() string { return "Configuration for the AWS Kinesis output." } func (k *KinesisOutput) Connect() error { if k.Partition == nil { log.Print("E! kinesis : Deprecated paritionkey configuration in use, please consider using outputs.kinesis.partition") } // We attempt first to create a session to Kinesis using an IAMS role, if that fails it will fall through to using // environment variables, and then Shared Credentials. if k.Debug { log.Printf("E! kinesis: Establishing a connection to Kinesis in %+v", k.Region) } credentialConfig := &internalaws.CredentialConfig{ Region: k.Region, AccessKey: k.AccessKey, SecretKey: k.SecretKey, RoleARN: k.RoleARN, Profile: k.Profile, Filename: k.Filename, Token: k.Token, EndpointURL: k.EndpointURL, } configProvider := credentialConfig.Credentials() svc := kinesis.New(configProvider) _, err := svc.DescribeStreamSummary(&kinesis.DescribeStreamSummaryInput{ StreamName: aws.String(k.StreamName), }) k.svc = svc return err } func (k *KinesisOutput) Close() error { return nil } func (k *KinesisOutput) SetSerializer(serializer serializers.Serializer) { k.serializer = serializer } func writekinesis(k *KinesisOutput, r []*kinesis.PutRecordsRequestEntry) time.Duration { start := time.Now() payload := &kinesis.PutRecordsInput{ Records: r, StreamName: aws.String(k.StreamName), } if k.Debug { resp, err := k.svc.PutRecords(payload) if err != nil { log.Printf("E! kinesis: Unable to write to Kinesis : %+v \n", err.Error()) } log.Printf("E! %+v \n", resp) } else { _, err := k.svc.PutRecords(payload) if err != nil { log.Printf("E! kinesis: Unable to write to Kinesis : %+v \n", err.Error()) } } return time.Since(start) } func (k *KinesisOutput) getPartitionKey(metric telegraf.Metric) string { if k.Partition != nil { switch k.Partition.Method { case "static": return k.Partition.Key case "random": u := uuid.NewV4() return u.String() case "measurement": return metric.Name() case "tag": if metric.HasTag(k.Partition.Key) { return metric.Tags()[k.Partition.Key] } log.Printf("E! kinesis : You have configured a Partition using tag %+v which does not exist.", k.Partition.Key) default: log.Printf("E! kinesis : You have configured a Partition method of %+v which is not supported", k.Partition.Method) } } if k.RandomPartitionKey { u := uuid.NewV4() return u.String() } return k.PartitionKey } func (k *KinesisOutput) Write(metrics []telegraf.Metric) error { var sz uint32 if len(metrics) == 0 { return nil } r := []*kinesis.PutRecordsRequestEntry{} for _, metric := range metrics { sz++ values, err := k.serializer.Serialize(metric) if err != nil { return err } partitionKey := k.getPartitionKey(metric) d := kinesis.PutRecordsRequestEntry{ Data: values, PartitionKey: aws.String(partitionKey), } r = append(r, &d) if sz == 500 { // Max Messages Per PutRecordRequest is 500 elapsed := writekinesis(k, r) log.Printf("E! Wrote a %+v point batch to Kinesis in %+v.\n", sz, elapsed) sz = 0 r = nil } } if sz > 0 { elapsed := writekinesis(k, r) log.Printf("E! Wrote a %+v point batch to Kinesis in %+v.\n", sz, elapsed) } return nil } func init() { outputs.Add("kinesis", func() telegraf.Output { return &KinesisOutput{} }) }