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。
此插件使用参数化的 SQL INSERT 语句将来自 Telegraf 的指标直接写入 MariaDB,从而提供了一种将指标存储在结构化关系表中的灵活方法。
集成详情
HTTP
HTTP 插件从一个或多个 HTTP(S) 端点收集指标,这些端点应具有以受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。
MariaDB
Telegraf 中的 SQL 输出插件允许通过执行参数化的 SQL 语句将指标直接写入 SQL 兼容数据库(如 MariaDB)。通过支持 MySQL 驱动程序,该插件与 MariaDB 无缝集成,以实现可靠、结构化的指标存储。这种设置非常适合喜欢基于 SQL 的分析或希望将指标与业务数据一起存储以进行统一查询的用户。MariaDB 是一个社区开发的、企业级的 MySQL 分支,它强调性能、安全性和开放性。该插件支持将时间序列指标插入到自定义模式中,从而可以使用 SQL 连接器灵活地进行分析并与 Metabase 或 Grafana 等 BI 工具集成。
配置
HTTP
[[inputs.http]]
  ## One or more URLs from which to read formatted metrics.
  urls = [
    "https:///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$$word"
  ## OAuth2 Client Credentials. The options 'client_id', 'client_secret', and 'token_url' are required to use OAuth2.
  # client_id = "clientid"
  # client_secret = "secret"
  # token_url = "https://indentityprovider/oauth2/v1/token"
  # scopes = ["urn:opc:idm:__myscopes__"]
  ## HTTP Proxy support
  # use_system_proxy = false
  # http_proxy_url = ""
  ## Optional TLS Config
  ## Set to true/false to enforce TLS being enabled/disabled. If not set,
  ## enable TLS only if any of the other options are specified.
  # tls_enable =
  ## Trusted root certificates for server
  # tls_ca = "/path/to/cafile"
  ## Used for TLS client certificate authentication
  # tls_cert = "/path/to/certfile"
  ## Used for TLS client certificate authentication
  # tls_key = "/path/to/keyfile"
  ## Password for the key file if it is encrypted
  # tls_key_pwd = ""
  ## Send the specified TLS server name via SNI
  # tls_server_name = "kubernetes.example.com"
  ## Minimal TLS version to accept by the client
  # tls_min_version = "TLS12"
  ## List of ciphers to accept, by default all secure ciphers will be accepted
  ## See https://pkg.go.dev/crypto/tls#pkg-constants for supported values.
  ## Use "all", "secure" and "insecure" to add all support ciphers, secure
  ## suites or insecure suites respectively.
  # tls_cipher_suites = ["secure"]
  ## Renegotiation method, "never", "once" or "freely"
  # tls_renegotiation_method = "never"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false
  ## Optional Cookie authentication
  # cookie_auth_url = "https:///authMe"
  # cookie_auth_method = "POST"
  # cookie_auth_username = "username"
  # cookie_auth_password = "pa$$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"
MariaDB
[[outputs.sql]]
  ## Database driver
  ## Valid options: mssql (Microsoft SQL Server), mysql (MySQL), pgx (Postgres),
  ##  sqlite (SQLite3), snowflake (snowflake.com) clickhouse (ClickHouse)
  driver = "mysql"
  ## Data source name
  ## The format of the data source name is different for each database driver.
  ## See the plugin readme for details.
  data_source_name = "username:password@tcp(host:port)/dbname"
  ## Timestamp column name
  timestamp_column = "timestamp"
  ## Table creation template
  ## Available template variables:
  ##  {TABLE} - table name as a quoted identifier
  ##  {TABLELITERAL} - table name as a quoted string literal
  ##  {COLUMNS} - column definitions (list of quoted identifiers and types)
  table_template = "CREATE TABLE {TABLE}({COLUMNS})"
  ## SQL INSERT statement with placeholders. Telegraf will substitute values at runtime.
  ## table_template = "INSERT INTO metrics (timestamp, name, value, tags) VALUES (?, ?, ?, ?)"
  ## Table existence check template
  ## Available template variables:
  ##  {TABLE} - tablename as a quoted identifier
  table_exists_template = "SELECT 1 FROM {TABLE} LIMIT 1"
  ## Initialization SQL
  init_sql = "SET sql_mode='ANSI_QUOTES';"
  ## Maximum amount of time a connection may be idle. "0s" means connections are
  ## never closed due to idle time.
  connection_max_idle_time = "0s"
  ## Maximum amount of time a connection may be reused. "0s" means connections
  ## are never closed due to age.
  connection_max_lifetime = "0s"
  ## Maximum number of connections in the idle connection pool. 0 means unlimited.
  connection_max_idle = 2
  ## Maximum number of open connections to the database. 0 means unlimited.
  connection_max_open = 0
  ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
  ## plugin definition, otherwise additional config options are read as part of the
  ## table
  ## Metric type to SQL type conversion
  ## The values on the left are the data types Telegraf has and the values on
  ## the right are the data types Telegraf will use when sending to a database.
  ##
  ## The database values used must be data types the destination database
  ## understands. It is up to the user to ensure that the selected data type is
  ## available in the database they are using. Refer to your database
  ## documentation for what data types are available and supported.
  #[outputs.sql.convert]
  #  integer              = "INT"
  #  real                 = "DOUBLE"
  #  text                 = "TEXT"
  #  timestamp            = "TIMESTAMP"
  #  defaultvalue         = "TEXT"
  #  unsigned             = "UNSIGNED"
  #  bool                 = "BOOL"
  #  ## This setting controls the behavior of the unsigned value. By default the
  #  ## setting will take the integer value and append the unsigned value to it. The other
  #  ## option is "literal", which will use the actual value the user provides to
  #  ## the unsigned option. This is useful for a database like ClickHouse where
  #  ## the unsigned value should use a value like "uint64".
  #  # conversion_style = "unsigned_suffix"
输入和输出集成示例
HTTP
- 从本地主机收集指标: 该插件可以从 HTTP 端点(如 https:///metrics)获取指标,从而轻松实现本地监控。
- 使用 Unix 域套接字: 您可以通过使用 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。
MariaDB
- 
    商业智能集成:将应用程序性能指标直接存储到 MariaDB 中,并将其连接到 Metabase 或 Apache Superset 等 BI 工具。此设置允许将运营数据与业务 KPI 混合,以实现统一的仪表板,从而增强跨部门的可见性。 
- 
    合规性报告与历史指标:使用此插件将指标记录到 MariaDB 中,以用于审计和合规性用例。关系模型支持使用带时间戳的条目精确查询过去的绩效指标,从而支持法规文档。 
- 
    基于 SQL 逻辑的自定义警报:将指标插入到 MariaDB 中,并使用自定义 SQL 查询来定义警报阈值或条件。与 cron 作业或计划脚本结合使用,可以实现传统指标平台无法实现的先进警报工作流程。 
- 
    物联网传感器指标存储:通过 Telegraf 从物联网设备收集传感器数据,并使用规范化的模式将其存储在 MariaDB 中。这种方法具有成本效益,并且与现有的基于 SQL 的系统集成良好,可用于实时或历史分析。 
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