zoukankan      html  css  js  c++  java
  • Collecting metrics with the PostgreSQL and TimescaleDB output plugin for Telegraf

    转自:https://docs.timescale.com/v1.3/tutorials/telegraf-output-plugin 文章演示了如何使用pg output 插件
    以及Telegraf agent 获取系统信息到timescaledb,一篇不错的实践类文章
    一张参考图:

    Telegraf can collect metrics from a wide array of inputs and write them to a wide array of outputs. It is plugin-driven for both collection and output of data so it is easily extendable. It is written in Go, which means that it is compiled and standalone binary that can be executed on any system with no need for external dependencies, or package management tools required.

    Telegraf is an open-source tool. It contains over 200 plugins for gathering and writing different types of data written by people who work with that data.

    We wrote the PostgreSQL output plugin which also has the ability to send data to a TimescaleDB hypertable. The pull request is open and currently under review by the Telegraf developers, waiting to be merged. To give developers the opportunity to try this functionality, we built downloadable binaries of Telegraf with our plugin already included.

    This tutorial will run through a couple of examples on how to use the PostgreSQL/TimescaleDB output plugin for Telegraf.

    Installation

    Before we start

    Before we start, you will need TimescaleDB installed and a means to connect to it.

    Setting up Telegraf

    Telegraf is written in Go, and the current build process of the tool is configured to produce one standalone binary. Because of this all the code for the different plugins must be part of that binary. We have an unofficial build of Telegraf version 1.10.4 with our plugin added. 

    Once you download the binary and extract it to a suitable location (or install the packages) we can test out the build. You may have to make the file executable by running chmod +x telegraf. We can check the version of the installed Telegraf with

    $ telegraf --version

    If the installation was successful it should print out Telegraf 1.10.4-with-pg.

    Telegraf Configuration

    When Telegraf is started, a config file needs to be specified. The config file contains the setup for the:

    • Telegraf agent
      • Collection interval
      • Jitter
      • Buffer and batch size and so on
    • Global tags added to all collected metrics from all inputs
    • Enabled outputs, processors, aggregators, inputs (and their respective configuration)

    A sample config file with PostgreSQL included as a plugin can be generated by executing

    $ telegraf --input-filter=cpu --output-filter=postgresql config > telegraf.conf

    The above command generates a config file that enables the CPU input plugin (which samples various metrics about CPU usage) and the PostgreSQL output plugin.
    The config file also includes all available input, output, processor, and aggregator plugins, but commented out. So, it's easy to see how a plugin should be configured.

    Testing out the config file

    To test our configuration, we can output a single collection to STDOUT. By running

    $ telegraf --config telegraf.conf --test

    we select the generated config file that enables only the CPU input plugin. And the output should look something like:

    > cpu,cpu=cpu0,host=local usage_guest=0,usage_idle=78.431372,usage_iowait=0,usage_irq=0,usage_softirq=0,usage_steal=0,usage_system=11.764705,usage_user=9.803921 1558613882000000000
    > cpu,cpu=cpu1,host=local usage_guest=0,usage_idle=92.156862,usage_iowait=0,usage_irq=0,usage_softirq=0,usage_steal=0,usage_system=3.921568,usage_user=3.921568 1558613882000000000
    > cpu,cpu=cpu-total,host=local usage_guest=0,usage_idle=87.623762,usage_iowait=0,usage_irq=0,usage_softirq=0,usage_steal=0,usage_system=6.435643,usage_user=5.940594 1558613882000000000

    A line is outputted for each core of the CPU and the total. Values are presented in key=valuepairs with the timestamp last in the row. When writing to STDOUT you can distinguish between tags, which are indexed fields (cpuhost) and value fields (usage_questusage_user ...) by a blank space (in our example the space after host=local). The distinction exists because different configuration options are available for the different fields.

    Configuring the PostgreSQL Output Plugin

    The telegraf.conf file we generated has a section (around line 80) headed with

    ################################################
    #                OUTPUT PLUGINS                #
    ################################################

    And below this header, the default configuration for the PostgreSQL output plugin is laid out.

    [[outputs.postgresql]]
      ## specify address via a url matching:
      ##   postgres://[pqgotest[:password]]@localhost[/dbname]
      ##       ?sslmode=[disable|verify-ca|verify-full]
      ## or a simple string:
      ##   host=localhost user=pqotest password=... sslmode=... dbname=app_production
      ##  
      ## All connection parameters are optional.
      ##  
      ## Without the dbname parameter, the driver will default to a database
      ## with the same name as the user. This dbname is just for instantiating a
      ## connection with the server and doesn't restrict the databases we are trying
      ## to grab metrics for.
      ##  
      address = "host=localhost user=postgres sslmode=verify-full"
    
      ## Store tags as foreign keys in the metrics table. Default is false.
      # tags_as_foreignkeys = false
    
      ## Template to use for generating tables
      ## Available Variables:
      ##   {TABLE} - tablename as identifier
      ##   {TABLELITERAL} - tablename as string literal
      ##   {COLUMNS} - column definitions
      ##   {KEY_COLUMNS} - comma-separated list of key columns (time + tags)
      ## Default template
      # table_template = "CREATE TABLE IF NOT EXISTS {TABLE}({COLUMNS})"
      ## Example for timescaledb
      # table_template = "CREATE TABLE {TABLE}({COLUMNS}); SELECT create_hypertable({TABLELITERAL},'time');" 
    
      ## Schema to create the tables into
      # schema = "public"
    
      ## Use jsonb datatype for tags
      # tags_as_jsonb = false
      ## Use jsonb datatype for fields
      # fields_as_jsonb = false

    From the config we can notice several things:

    1. The top line enables the plugin, the plugin specific config is indented after this line
    2. There is currently only one parameter configured, address. The others are commented out
    3. Possible parameters are commented out with a single #. (tags_as_foreignkeystable_templateschematags_as_jsonbfields_as_jsonb)
    4. Explanations of the parameters are commented out with a single ##

    The commented out parameters also show their default values.

    For the first example we'll set the address parameter to a proper connection string to establish a connection to an instance of TimescaleDB or PostgreSQL. All the other parameters will have their default values.

    Creating hypertables

    The plugin we developed allows the user to configure several parameters. The table_templateparameter defines the SQL to be executed when a new measurement is recorded by Telegraf and the required table doesn't exist in the output database. By default the table_template used is CREATE TABLE IF NOT EXISTS {TABLE}({COLUMNS}) where {TABLE} and {COLUMNS} are placeholders for the name of the table and the column definitions.

    Let's update table_template in the config for TimescaleDB:

      table_template=`CREATE TABLE IF NOT EXISTS {TABLE}({COLUMNS}); SELECT create_hypertable({TABLELITERAL},'time',chunk_time_interval := '1 week'::interval,if_not_exists := true);`

    This way when a new table is created it is converted into a hypertable, with each chunk holding 1 week intervals. Nothing else is needed to use the plugin with TimescaleDB.

    Running Telegraf

    When we run Telegraf we only need to specify the config file to be used. If we execute

    $  telegraf --config telegraf.conf 
    2019-05-23T13:48:09Z I! Starting Telegraf 1.10.4-with-pg
    2019-05-23T13:48:09Z I! Loaded inputs: cpu
    2019-05-23T13:48:09Z I! Loaded outputs: postgresql
    2019-05-23T13:48:09Z I! Tags enabled: host=local
    2019-05-23T13:48:09Z I! [agent] Config: Interval:10s, Quiet:false, Hostname:"local", Flush Interval:10s

    In the output you can notice the loaded inputs (cpu) and outputs (postgresql) along with the global tags and the intervals with which the agent will collect the data from the inputs, and flush to the outputs. We can stop the execution of Telegraf after ~10-15 seconds.

    Let us now connect to our PostgreSQL instance and inspect the data

    $ psql -U postgres -h localhost

    The cpu input plugin has one measurement, called cpu, and it's stored in a table of the same name (by default in the public schema). So with the SQL query SELECT * FROM cpu, depending on how long you left Telegraf running you will see the table populated with some values. We can find the average usage per cpu core with SELECT cpu, avg(usage_user) FROM cpu GROUP BY cpu. The output should look like

        cpu    |       avg        
    -----------+------------------
     cpu-total | 8.46385703620795
     cpu0      | 12.4343351351033
     cpu1      | 4.88380203380203
     cpu2      | 12.2718724052057
     cpu3      | 4.26716970050303

    Adding new Tags or Fields

    Your Telegraf configuration can change at any moment. An input plugin can be reconfigured to produce different data, or you may decide to index your data with different tags. Our SQL plugin can dynamically update the created tables with new columns as they appear. The previous configuration we used had no global tags specified other than the host tag. We will now add a new global tag in the configuration. Open the file in any text editor and update the [global_tags] section (around line 18) with:

    [global_tags]
      location="New York"

    This way all metrics collected with the instance of Telegraf running with this config will be tagged with location="New York". If we run Telegraf again, collecting the metrics in TimescaleDB

    $ telegraf --config telegraf.conf

    And after a while we check on the cpu table in the database

    psql> dS cpu
    dS cpu;
    Table "public.cpu"
          Column      |           Type           
    ------------------+--------------------------
     time             | timestamp with time zone 
     cpu              | text                     
     host             | text                     
     usage_steal      | double precision         
     usage_iowait     | double precision         
     usage_guest      | double precision         
     usage_idle       | double precision         
     usage_softirq    | double precision         
     usage_system     | double precision         
     usage_user       | double precision         
     usage_irq        | double precision         
     location         | text                     

    The location column was added and it contains "New York" for all rows.

    Creating a separate metadata table for tags

    The plugin we developed allows the user to select to have the tag sets inserted in a separate table and then referenced via foreign keys in the measurement table. Having the tags in a separate table saves space for high cardinality tag sets, and allows certain queries to be written more efficiently. To enable this change, you need to uncomment the tags_as_foreignkeys parameter in the plugin config (around line 103 in telegraf.conf) and set it to true

     ## Store tags as foreign keys in the metrics table. Default is false.
     tags_as_foreignkeys = true

    To better visualize the result we'll drop the existing cpu table from our database.

    psql> DROP TABLE cpu;

    Now we'll fire Telegraf up again, this time with the config changed to write the tags in a separate table.

    $ telegraf --config telegraf.conf

    We can turn it off after 20-30 seconds. If we check on the cpu table in the database:

    psql> dS cpu
    dS cpu
    Table "public.cpu"
          Column      |           Type           
    ------------------+--------------------------
     time             | timestamp with time zone 
     tag_id           | integer                  
     usage_irq        | double precision         
     usage_softirq    | double precision         
     usage_system     | double precision         
     usage_iowait     | double precision         
     usage_guest      | double precision         
     usage_user       | double precision         
     usage_idle       | double precision         
     usage_steal      | double precision         
    

    Notice that the cpuhost and location columns are not there, instead there's a tag_idcolumn. The tag sets are stored in a separate table called cpu_tag:

     psql> SELECT * FROM cpu_tag;
     tag_id |  host |    cpu    |  location
    --------+-------+-----------+----------
          1 | local | cpu-total | New York
          2 | local | cpu0      | New York
          3 | local | cpu1      | New York

    JSONB column for Tags and Fields

    Additionally the tags and fields can be stored as JSONB columns in the database. All you need to do is uncomment the tags_as_jsonb or fields_as_jsonb parameters in telegraf.conf(around line 120) and set them to true. In this example we'll store the fields as separate columns, but the tags as JSON.

     ## Use jsonb datatype for tags
     tags_as_jsonb = true
     ## Use jsonb datatype for fields
     fields_as_jsonb = false

    To better visualize the result we'll drop the existing cpu_tag table from our database.

    psql> DROP TABLE cpu_tag;

    Fire up Telegraf again, and turn it off after 20-30 seconds. Then we check the cpu_tag table:

    $ telegraf --config telegraf.conf
     psql> SELECT * FROM cpu_tag;
     tag_id |                                       tags                                        
    --------+-----------------------------------------------------------------------------------
          1 | {"cpu": "cpu-total", "host": "local", "location": "New York"}
          2 | {"cpu": "cpu0", "host": "local", "location": "New York"}
          3 | {"cpu": "cpu1", "host": "local", "location": "New York"}

    And instead of having three text columns, one JSONB column is created.

  • 相关阅读:
    从屏幕刷新频率到Unity VSync
    TextMesh Pro不能显示中文的解决办法是创建字贴图,常用汉字3500+特殊字符
    50 个 Chrome Developer Tools 必备技巧
    Unity发布到Google Play应用上架流程
    Unity Shader入门
    Unity2019游戏框架搭建第一季C# 核心知识与简易框架搭建 + Unity2019 游戏框架搭建第二季:UI 模块与资源模块持续精进
    TextMesh Pro不能显示中文的解决办法是创建字贴图,常用汉字3500
    permanently
    UE4地编大型开放世界~制作烘焙全流程
    Unity高级游戏地编案例
  • 原文地址:https://www.cnblogs.com/rongfengliang/p/10989926.html
Copyright © 2011-2022 走看看