Profiling¶

Profile 支持采集使用 Java, Python 和 Go 等不同语言环境下应用程序运行过程中的动态性能数据，帮助用户查看 CPU、内存、IO 的性能问题。

配置¶

目前 DataKit 采集 profiling 数据有两种方式：

推送方式：需要开启 DataKit Profile 服务，由客户端向 DataKit 主动推送数据
拉取方式：目前仅 Go 支持，需要手动配置相关信息

采集器配置¶

主机安装Kubernetes

进入 DataKit 安装目录下的 conf.d/profile 目录，复制 profile.conf.sample 并命名为 profile.conf 。配置文件说明如下：

[[inputs.profile]]
  ## profile Agent endpoints register by version respectively.
  ## Endpoints can be skipped listen by remove them from the list.
  ## Default value set as below. DO NOT MODIFY THESE ENDPOINTS if not necessary.
  endpoints = ["/profiling/v1/input"]

  ## set true to enable election, pull mode only
  election = true

  ## the max allowed size of http request body (of MB), 32MB by default.
  body_size_limit_mb = 32 # MB

  ## io_config is used to control profiling uploading behavior.
  ## cache_path set the disk directory where temporarily cache profiling data.
  ## cache_capacity_mb specify the max storage space (in MiB) that profiling cache can use.
  ## clear_cache_on_start set whether we should clear all previous profiling cache on restarting Datakit.
  ## upload_workers set the count of profiling uploading workers.
  ## send_timeout specify the http timeout when uploading profiling data to dataway.
  ## send_retry_count set the max retry count when sending every profiling request.
  # [inputs.profile.io_config]
  #   cache_path = "/usr/local/datakit/cache/profile_inputs"  # C:\Program Files\datakit\cache\profile_inputs by default on Windows
  #   cache_capacity_mb = 10240  # 10240MB
  #   clear_cache_on_start = false
  #   upload_workers = 8
  #   send_timeout = "75s"
  #   send_retry_count = 4

## go pprof config
## collect profiling data in pull mode
#[[inputs.profile.go]]
  ## pprof url
  #url = "http://localhost:6060"

  ## pull interval, should be greater or equal than 10s
  #interval = "10s"

  ## service name
  #service = "go-demo"

  ## app env
  #env = "dev"

  ## app version
  #version = "0.0.0"

  ## types to pull
  ## values: cpu, goroutine, heap, mutex, block
  #enabled_types = ["cpu","goroutine","heap","mutex","block"]

#[inputs.profile.go.tags]
  # tag1 = "val1"

## pyroscope config
#[[inputs.profile.pyroscope]]
  ## listen url
  #url = "0.0.0.0:4040"

  ## service name
  #service = "pyroscope-demo"

  ## app env
  #env = "dev"

  ## app version
  #version = "0.0.0"

#[inputs.profile.pyroscope.tags]
  #tag1 = "val1"

配置好后，重启 DataKit ，开启 Profile 服务。

目前可以通过 ConfigMap 方式注入采集器配置来开启采集器。

客户端应用配置¶

客户的应用根据编程语言需要分别进行配置，目前支持的语言如下：

Profiling 字段¶

以下所有数据采集，默认会追加名为 host 的全局 tag（tag 值为 DataKit 所在主机名），也可以在配置中通过 [inputs.profile.tags] 指定其它标签：

 [inputs.profile.tags]
  # some_tag = "some_value"
  # more_tag = "some_other_value"
  # ...

`profile`¶

标签

Tag	Description
`container_host`	Container hostname. Available in OpenTelemetry. Optional.
`endpoint`	Endpoint info. Available in SkyWalking, Zipkin. Optional.
`env`	Application environment info. Available in Jaeger. Optional.
`host`	Hostname.
`http_method`	HTTP request method name. Available in DDTrace, OpenTelemetry. Optional.
`http_route`	HTTP route. Optional.
`http_status_code`	HTTP response code. Available in DDTrace, OpenTelemetry. Optional.
`http_url`	HTTP URL. Optional.
`operation`	Span name
`project`	Project name. Available in Jaeger. Optional.
`service`	Service name. Optional.
`source_type`	Tracing source type
`span_type`	Span type
`status`	Span status
`version`	Application version info. Available in Jaeger. Optional.

指标列表

Metric	Description	Type	Unit
`duration`	Duration of span	int	μs
`message`	Origin content of span	string	-
`parent_id`	Parent span ID of current span	string	-
`resource`	Resource name produce current span	string	-
`span_id`	Span id	string	-
`start`	start time of span.	int	usec
`trace_id`	Trace id	string	-

Profiling¶

配置¶

采集器配置¶

客户端应用配置¶

Profiling 字段¶

profile¶

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`profile`¶