目录
输入和输出集成概述
MQTT Telegraf 插件旨在从指定的 MQTT 主题读取数据并创建指标,使用户能够利用 MQTT 进行实时数据收集和监控。
Telegraf SQL 插件允许您将来自 Telegraf 的指标直接存储到 MySQL 数据库中,从而更轻松地分析和可视化收集的指标。
集成详情
MQTT
MQTT 插件允许从指定的 MQTT 主题读取指标,并使用支持的输入数据格式创建指标。此插件作为服务输入运行,它监听传入的指标或事件,而不是像普通插件那样以设定的时间间隔收集它们。插件的灵活性通过支持各种代理 URL、主题和连接功能得到增强,包括服务质量 (QoS) 级别和持久会话。其配置选项包含全局设置,可有效地修改指标和处理启动错误。它还支持用于保护用户名和密码选项的密钥存储配置,确保与 MQTT 服务器的安全连接。
MySQL
Telegraf 的 SQL 输出插件旨在通过基于传入指标动态创建表和列,将指标数据无缝写入 SQL 数据库。当配置为 MySQL 时,该插件利用 go-sql-driver/mysql,这需要启用 ANSI_QUOTES SQL 模式以确保正确处理带引号的标识符。这种动态模式创建方法确保每个指标都存储在自己的表中,其结构源自其字段和标签,从而提供系统性能的详细、带时间戳的记录。该插件的灵活性使其能够处理高吞吐量环境,使其成为需要强大、精细的指标日志记录和历史数据分析的场景的理想选择。
配置
MQTT
[[inputs.mqtt_consumer]]
servers = ["tcp://127.0.0.1:1883"]
topics = [
"telegraf/host01/cpu",
"telegraf/+/mem",
"sensors/#",
]
# topic_tag = "topic"
# qos = 0
# connection_timeout = "30s"
# keepalive = "60s"
# ping_timeout = "10s"
# max_undelivered_messages = 1000
# persistent_session = false
# client_id = ""
# username = "telegraf"
# password = "metricsmetricsmetricsmetrics"
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
# insecure_skip_verify = false
# client_trace = false
data_format = "influx"
# [[inputs.mqtt_consumer.topic_parsing]]
# topic = ""
# measurement = ""
# tags = ""
# fields = ""
# [inputs.mqtt_consumer.topic_parsing.types]
# key = type
MySQL
[[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})"
## 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
MQTT
-
智能家居监控:使用 MQTT Consumer 插件来监控智能家居设置中的各种传感器。在这种情况下,可以将插件配置为订阅不同设备的主题,例如温度、湿度和能耗。通过聚合这些数据,房主可以可视化趋势并接收异常模式的警报,从而提高家庭自动化系统的整体质量和效率。
-
物联网环境感知:部署 MQTT Consumer 以收集来自分布在不同位置的传感器的环境数据。例如,这可以包括来自空气质量传感器、温度传感器和噪声水平仪的读数。可以将插件配置为从 MQTT 主题中提取相关标签和字段,从而可以对大规模环境条件进行详细分析和报告,从而支持城市规划或环境倡议的更好决策。
-
实时车辆跟踪和遥测:将 MQTT Consumer 插件集成到车辆遥测系统中,该系统实时收集来自各种传感器的数据。使用该插件,可以将与车辆性能、位置和燃料消耗相关的指标发送到中央监控仪表板。这种实时遥测数据使车队管理者能够通过主动数据分析来优化路线、降低燃料成本并改进车辆维护计划。
-
农业监控系统:利用此插件收集来自农业传感器的数据,这些传感器监控土壤湿度、作物健康状况和天气条件。MQTT Consumer 可以订阅与农业设备和环境传感器相关的多个主题,使农民能够做出数据驱动的决策,以提高作物产量,同时节约资源,增强农业的可持续性。
MySQL
-
实时 Web 分析存储:利用该插件捕获网站性能指标并将其存储在 MySQL 中。此设置使团队能够监控用户交互、分析流量模式并根据实时数据洞察动态调整站点功能。
-
物联网设备监控:利用该插件从物联网传感器网络收集指标并将其记录到 MySQL 数据库中。此用例支持对设备健康状况和性能的持续监控,从而实现预测性维护和对异常的即时响应。
-
金融交易日志记录:记录具有精确时间戳的高频金融交易数据。这种方法支持强大的审计跟踪、实时欺诈检测以及用于合规性和报告的全面历史分析。
-
应用程序性能基准测试:将插件与应用程序性能监控系统集成,以将指标记录到 MySQL 中。这有助于进行详细的基准测试和长期趋势分析,使组织能够识别性能瓶颈并有效地优化资源分配。
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