HTTP 和 IoTDB 集成

强大的性能和简单的集成,由 InfluxData 构建的开源数据连接器 Telegraf 提供支持。

info

对于大规模实时查询,这不是推荐的配置。为了进行查询和压缩优化、高速摄取和高可用性,您可能需要考虑HTTP 和 InfluxDB

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时间序列数据库
来源:DB Engines

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目录

强大的性能,无限的扩展能力

收集、组织和处理海量高速数据。当您将任何数据视为时间序列数据时,它都更有价值。InfluxDB 是排名第一的时间序列平台,旨在与 Telegraf 一起扩展。

查看入门方法

输入和输出集成概述

HTTP 插件允许从指定的 HTTP 端点收集指标,处理各种数据格式和身份验证方法。

此插件将 Telegraf 指标保存到 Apache IoTDB 后端,支持会话连接和数据插入。

集成详情

HTTP

HTTP 插件从一个或多个 HTTP(S) 端点收集指标,这些端点应具有以支持的输入数据格式之一格式化的指标。它还支持来自密钥存储的密钥,用于各种身份验证选项,并包括全局支持的配置设置。

IoTDB

Apache IoTDB(物联网数据库)是一种物联网原生数据库,具有高性能的数据管理和分析能力,可部署在边缘和云端。其轻量级架构、高性能和丰富的功能集使其非常适合物联网工业领域中的海量数据存储、高速数据摄取和复杂分析。IoTDB 与 Apache Hadoop、Spark 和 Flink 深度集成,进一步增强了其处理大规模数据和复杂处理任务的能力。

配置

HTTP

[[inputs.http]]
  ## One or more URLs from which to read formatted metrics.
  urls = [
    "http://localhost/metrics",
    "http+unix:///run/user/420/podman/podman.sock:/d/v4.0.0/libpod/pods/json"
  ]

  ## HTTP method
  # method = "GET"

  ## Optional HTTP headers
  # headers = {"X-Special-Header" = "Special-Value"}

  ## HTTP entity-body to send with POST/PUT requests.
  # body = ""

  ## HTTP Content-Encoding for write request body, can be set to "gzip" to
  ## compress body or "identity" to apply no encoding.
  # content_encoding = "identity"

  ## Optional Bearer token settings to use for the API calls.
  ## Use either the token itself or the token file if you need a token.
  # token = "eyJhbGc...Qssw5c"
  # token_file = "/path/to/file"

  ## Optional HTTP Basic Auth Credentials
  # username = "username"
  # password = "pa$$word"

  ## OAuth2 Client Credentials. The options 'client_id', 'client_secret', and 'token_url' are required to use OAuth2.
  # client_id = "clientid"
  # client_secret = "secret"
  # token_url = "https://indentityprovider/oauth2/v1/token"
  # scopes = ["urn:opc:idm:__myscopes__"]

  ## HTTP Proxy support
  # use_system_proxy = false
  # http_proxy_url = ""

  ## Optional TLS Config
  ## Set to true/false to enforce TLS being enabled/disabled. If not set,
  ## enable TLS only if any of the other options are specified.
  # tls_enable =
  ## Trusted root certificates for server
  # tls_ca = "/path/to/cafile"
  ## Used for TLS client certificate authentication
  # tls_cert = "/path/to/certfile"
  ## Used for TLS client certificate authentication
  # tls_key = "/path/to/keyfile"
  ## Password for the key file if it is encrypted
  # tls_key_pwd = ""
  ## Send the specified TLS server name via SNI
  # tls_server_name = "kubernetes.example.com"
  ## Minimal TLS version to accept by the client
  # tls_min_version = "TLS12"
  ## List of ciphers to accept, by default all secure ciphers will be accepted
  ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
  ## Use "all", "secure" and "insecure" to add all support ciphers, secure
  ## suites or insecure suites respectively.
  # tls_cipher_suites = ["secure"]
  ## Renegotiation method, "never", "once" or "freely"
  # tls_renegotiation_method = "never"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false

  ## Optional Cookie authentication
  # cookie_auth_url = "https://localhost/authMe"
  # cookie_auth_method = "POST"
  # cookie_auth_username = "username"
  # cookie_auth_password = "pa$$word"
  # cookie_auth_headers = { Content-Type = "application/json", X-MY-HEADER = "hello" }
  # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
  ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
  # cookie_auth_renewal = "5m"

  ## Amount of time allowed to complete the HTTP request
  # timeout = "5s"

  ## List of success status codes
  # success_status_codes = [200]

  ## Data format to consume.
  ## 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_INPUT.md
  # data_format = "influx"

IoTDB

[[outputs.iotdb]]
  ## Configuration of IoTDB server connection
  host = "127.0.0.1"
  # port = "6667"

  ## Configuration of authentication
  # user = "root"
  # password = "root"

  ## Timeout to open a new session.
  ## A value of zero means no timeout.
  # timeout = "5s"

  ## Configuration of type conversion for 64-bit unsigned int
  ## IoTDB currently DOES NOT support unsigned integers (version 13.x).
  ## 32-bit unsigned integers are safely converted into 64-bit signed integers by the plugin,
  ## however, this is not true for 64-bit values in general as overflows may occur.
  ## The following setting allows to specify the handling of 64-bit unsigned integers.
  ## Available values are:
  ##   - "int64"       --  convert to 64-bit signed integers and accept overflows
  ##   - "int64_clip"  --  convert to 64-bit signed integers and clip the values on overflow to 9,223,372,036,854,775,807
  ##   - "text"        --  convert to the string representation of the value
  # uint64_conversion = "int64_clip"

  ## Configuration of TimeStamp
  ## TimeStamp is always saved in 64bits int. timestamp_precision specifies the unit of timestamp.
  ## Available value:
  ## "second", "millisecond", "microsecond", "nanosecond"(default)
  # timestamp_precision = "nanosecond"

  ## Handling of tags
  ## Tags are not fully supported by IoTDB.
  ## A guide with suggestions on how to handle tags can be found here:
  ##     https://iotdb.apache.org/UserGuide/Master/API/InfluxDB-Protocol.html
  ##
  ## Available values are:
  ##   - "fields"     --  convert tags to fields in the measurement
  ##   - "device_id"  --  attach tags to the device ID
  ##
  ## For Example, a metric named "root.sg.device" with the tags `tag1: "private"`  and  `tag2: "working"` and
  ##  fields `s1: 100`  and `s2: "hello"` will result in the following representations in IoTDB
  ##   - "fields"     --  root.sg.device, s1=100, s2="hello", tag1="private", tag2="working"
  ##   - "device_id"  --  root.sg.device.private.working, s1=100, s2="hello"
  # convert_tags_to = "device_id"

  ## Handling of unsupported characters
  ## Some characters in different versions of IoTDB are not supported in path name
  ## A guide with suggetions on valid paths can be found here:
  ## for iotdb 0.13.x           -> https://iotdb.apache.org/UserGuide/V0.13.x/Reference/Syntax-Conventions.html#identifiers
  ## for iotdb 1.x.x and above  -> https://iotdb.apache.org/UserGuide/V1.3.x/User-Manual/Syntax-Rule.html#identifier
  ##
  ## Available values are:
  ##   - "1.0", "1.1", "1.2", "1.3"  -- enclose in `` the world having forbidden character 
  ##                                    such as @ $ # : [ ] { } ( ) space
  ##   - "0.13"                      -- enclose in `` the world having forbidden character 
  ##                                    such as space
  ##
  ## Keep this section commented if you don't want to sanitize the path
  # sanitize_tag = "1.3"

输入和输出集成示例

HTTP

  1. 从本地主机收集指标: 该插件可以从 HTTP 端点(如 http://localhost/metrics)获取指标,从而轻松实现本地监控。
  2. 使用 Unix 域套接字: 您可以使用 http+unix 方案指定从 Unix 域套接字上的服务收集指标,例如 http+unix:///path/to/service.sock:/api/endpoint

IoTDB

  1. 实时物联网监控:利用 IoTDB 插件从各种物联网设备收集传感器数据,并将其保存在 Apache IoTDB 后端,从而促进对温度和湿度等环境条件的实时监控。此用例使组织能够分析随时间变化的趋势,并根据历史数据做出明智的决策,同时还可以利用 IoTDB 的高效存储和查询功能。

  2. 智能农业数据采集:使用 IoTDB 插件从部署在田地的智能农业传感器收集指标。通过将湿度水平、养分含量和大气条件传输到 IoTDB,农民可以访问有关最佳种植和浇水计划的详细见解,从而提高作物产量和资源管理水平。

  3. 能耗分析:利用 IoTDB 插件跟踪整个公用事业网络中智能电表的能耗指标。这种集成使分析能够识别使用高峰并预测未来的消耗模式,最终支持节能举措和改进的公用事业管理。

  4. 自动化工业设备监控:使用此插件从制造工厂的机械设备收集运行指标,并将其存储在 IoTDB 中进行分析。此设置可以帮助识别效率低下、预测性维护需求和运行异常,确保最佳性能并最大限度地减少意外停机时间。

反馈

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强大的性能,无限的扩展能力

收集、组织和处理海量高速数据。当您将任何数据视为时间序列数据时,它都更有价值。InfluxDB 是排名第一的时间序列平台,旨在与 Telegraf 一起扩展。

查看入门方法

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此插件从 Kafka 读取消息,并允许基于这些消息创建指标。它支持各种配置,包括不同的 Kafka 设置和消息处理选项。

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Kinesis 和 InfluxDB 集成

Kinesis 插件允许从 AWS Kinesis 流中读取指标。它支持多种输入数据格式,并提供使用 DynamoDB 进行检查点处理的功能,以实现可靠的消息处理。

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