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README.md

InfluxDB Exporter

This exporter supports sending tracing, metrics, and logging data to InfluxDB.

Supported pipeline types: traces, metrics, logs

Configuration

The following configuration options are supported:

  • endpoint (required) HTTP destination for line protocol
  • timeout (default = 5s) Timeout for requests
  • headers: (optional) additional headers attached to each HTTP request
    • header User-Agent is OpenTelemetry -> Influx by default
    • if token (below) is set, then header Authorization will overridden with the given token
  • org (required) Name of InfluxDB organization that owns the destination bucket
  • bucket (required) InfluxDB bucket name to where signals will
  • token (optional) The authentication token for InfluxDB
  • metrics_schema (default = telegraf-prometheus-v1) The chosen metrics schema to write; must be one of:
    • telegraf-prometheus-v1
    • telegraf-prometheus-v2
  • sending_queue details here
    • enabled (default = true)
    • num_consumers (default = 10) The number of consumers from the queue
    • queue_size (default = 5000) Maximum number of batches allowed in queue at a given time
  • retry_on_failure details here
    • enabled (default = true)
    • initial_interval (default = 5s) Time to wait after the first failure before retrying
    • max_interval (default = 30s) Upper bound on backoff interval
    • max_elapsed_time (default = 120s) Maximum amount of time (including retries) spent trying to send a request/batch

The full list of settings exposed for this exporter are documented in config.go.

Example:

exporters:
  influxdb:
    endpoint: http:https://localhost:8080
    timeout: 500ms
    org: my-org
    bucket: my-bucket
    token: my-token
    metrics_schema: telegraf-prometheus-v1

    sending_queue:
      enabled: true
      num_consumers: 3
      queue_size: 10

    retry_on_failure:
      enabled: true
      initial_interval: 1s
      max_interval: 3s
      max_elapsed_time: 10s

Definitions

InfluxDB is an open-source time series database.

Telegraf is an open-source metrics agent, similar to the OpenTelemetry Collector. Telegraf has hundreds of plugins.

Line protocol is a textual HTTP payload format used to move metrics between Telegraf agents and InfluxDB instances.

Schema

The OpenTelemetry->InfluxDB conversion schema and implementation are hosted at https://github.com/influxdata/influxdb-observability .

Spans are stored in measurement spans. Metric points through metrics_schema=telegraf-prometheus-v1 are assigned measurement from the OTel field Metric.name. Metric points through metrics_schema=telegraf-prometheus-v2 are stored in measurement prometheus. Logs are stored in measurement logs.

Example: Tracing Spans

spans end_time_unix_nano="2021-02-19 20:50:25.6893952 +0000 UTC",instrumentation_library_name="tracegen",kind="SPAN_KIND_INTERNAL",name="okey-dokey",net.peer.ip="1.2.3.4",parent_span_id="d5270e78d85f570f",peer.service="tracegen-client",service.name="tracegen",span.kind="server",span_id="4c28227be6a010e1",status_code="STATUS_CODE_OK",trace_id="7d4854815225332c9834e6dbf85b9380" 1613767825689169000
spans end_time_unix_nano="2021-02-19 20:50:25.6893952 +0000 UTC",instrumentation_library_name="tracegen",kind="SPAN_KIND_INTERNAL",name="lets-go",net.peer.ip="1.2.3.4",peer.service="tracegen-server",service.name="tracegen",span.kind="client",span_id="d5270e78d85f570f",status_code="STATUS_CODE_OK",trace_id="7d4854815225332c9834e6dbf85b9380" 1613767825689135000
spans end_time_unix_nano="2021-02-19 20:50:25.6895667 +0000 UTC",instrumentation_library_name="tracegen",kind="SPAN_KIND_INTERNAL",name="okey-dokey",net.peer.ip="1.2.3.4",parent_span_id="b57e98af78c3399b",peer.service="tracegen-client",service.name="tracegen",span.kind="server",span_id="a0643a156d7f9f7f",status_code="STATUS_CODE_OK",trace_id="fd6b8bb5965e726c94978c644962cdc8" 1613767825689388000
spans end_time_unix_nano="2021-02-19 20:50:25.6895667 +0000 UTC",instrumentation_library_name="tracegen",kind="SPAN_KIND_INTERNAL",name="lets-go",net.peer.ip="1.2.3.4",peer.service="tracegen-server",service.name="tracegen",span.kind="client",span_id="b57e98af78c3399b",status_code="STATUS_CODE_OK",trace_id="fd6b8bb5965e726c94978c644962cdc8" 1613767825689303300
spans end_time_unix_nano="2021-02-19 20:50:25.6896741 +0000 UTC",instrumentation_library_name="tracegen",kind="SPAN_KIND_INTERNAL",name="okey-dokey",net.peer.ip="1.2.3.4",parent_span_id="6a8e6a0edcc1c966",peer.service="tracegen-client",service.name="tracegen",span.kind="server",span_id="d68f7f3b41eb8075",status_code="STATUS_CODE_OK",trace_id="651dadde186b7834c52b13a28fc27bea" 1613767825689480300

Example: Metrics - telegraf-prometheus-v1

cpu_temp,foo=bar gauge=87.332
http_requests_total,method=post,code=200 counter=1027
http_requests_total,method=post,code=400 counter=3
http_request_duration_seconds 0.05=24054,0.1=33444,0.2=100392,0.5=129389,1=133988,sum=53423,count=144320
rpc_duration_seconds 0.01=3102,0.05=3272,0.5=4773,0.9=9001,0.99=76656,sum=1.7560473e+07,count=2693

Example: Metrics - telegraf-prometheus-v2

prometheus,foo=bar cpu_temp=87.332
prometheus,method=post,code=200 http_requests_total=1027
prometheus,method=post,code=400 http_requests_total=3
prometheus,le=0.05 http_request_duration_seconds_bucket=24054
prometheus,le=0.1  http_request_duration_seconds_bucket=33444
prometheus,le=0.2  http_request_duration_seconds_bucket=100392
prometheus,le=0.5  http_request_duration_seconds_bucket=129389
prometheus,le=1    http_request_duration_seconds_bucket=133988
prometheus         http_request_duration_seconds_count=144320,http_request_duration_seconds_sum=53423
prometheus,quantile=0.01 rpc_duration_seconds=3102
prometheus,quantile=0.05 rpc_duration_seconds=3272
prometheus,quantile=0.5  rpc_duration_seconds=4773
prometheus,quantile=0.9  rpc_duration_seconds=9001
prometheus,quantile=0.99 rpc_duration_seconds=76656
prometheus               rpc_duration_seconds_count=1.7560473e+07,rpc_duration_seconds_sum=2693

Example: Logs

logs fluent.tag="fluent.info",pid=18i,ppid=9i,worker=0i 1613769568895331700
logs fluent.tag="fluent.debug",instance=1720i,queue_size=0i,stage_size=0i 1613769568895697200
logs fluent.tag="fluent.info",worker=0i 1613769568896515100