Docker版Grafana整合InfluxDB看這一篇就夠了（2020全網最詳細教程）

君哥聊程式設計發表於2020-10-31

本文分為4段為您詳細講解Docker版Grafana整合influxdb監控資料

docker安裝

解除安裝

如果之前安裝過Docker需要解除安裝可以參照如下命令

# 列出當前docker相關的安裝包
$ yum list installed|grep docker
containerd.io.x86_64                 1.3.7-3.1.el7                  @docker-ce-stable
docker-ce.x86_64                     3:19.03.13-3.el7               @docker-ce-stable
docker-ce-cli.x86_64                 1:19.03.13-3.el7               @docker-ce-stable

在這裡插入圖片描述

# 解除安裝對應的包
$ yum -y remove containerd.io.x86_64
$ yum -y remove docker-ce.x86_64
$ yum -y remove docker-ce-cli.x86_64

安裝

注意：且Docker 要求作業系統必須為64位，且centos核心版本為3.1及以上

檢視系統核心

$ uname -r
3.10.0-1062.el7.x86_6
# 我這裡高於3.1

保證yum包是最新

# 使用root執行，更新到最新
$ yum update

列出可安裝的docker包

# 列出可以按照的docker包
$ yum list docker-ce --showduplicates | sort -r

安裝

指定版本安裝

$ yum list docker-ce.x86_64  --showduplicates | sort -r

直接安裝最新版
```
$ yum install docker-ce -y
```

檢視當前版本

$ docker version

Client: Docker Engine - Community
 Version:           19.03.13
 API version:       1.40
 Go version:        go1.13.15
 Git commit:        4484c46d9d
 Built:             Wed Sep 16 17:03:45 2020
 OS/Arch:           linux/amd64
 Experimental:      false
Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?
# 此處需要重啟

不能連線到Docker daemon異常

裝完後使用docker命令後會提示異常
Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?
需要重啟下docker

重啟
```
$ service docker restart
```
配置開機啟動
```
$ systemctl enable docker
```

國內映象配置

找到/etc/docker目錄下的daemon.json檔案進行編輯，輸入如下內容
```
{
  "registry-mirrors": ["https://9cpn8tt6.mirror.aliyuncs.com"]
}
```

如果沒有該檔案，可自行建立，也可以使用如下命令

tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["https://9cpn8tt6.mirror.aliyuncs.com"]
}
EOF

重啟docker

Docker整合influxDB

前面我們已經學習了Docker的安裝和相關命令，接下來，我們只講解influxdb的內容

InfluxDB是一個由InfluxData開發的開源時序型資料。它由Go寫成，著力於高效能地查詢與儲存時序型資料。InfluxDB被廣泛應用於儲存系統的監控資料，IoT行業的實時資料等場景。

influxDB介紹

InfluxDB（時序資料庫），常用的一種使用場景：監控資料統計。每毫秒記錄一下電腦記憶體的使用情況，然後就可以根據統計的資料，利用圖形化介面（InfluxDB V1一般配合Grafana）製作記憶體使用情況的折線圖；

可以理解為按時間記錄一些資料（常用的監控資料、埋點統計資料等），然後製作圖表做統計；

與傳統資料庫中的名詞做比較

influxDB中的名詞	傳統資料庫中的概念
database	資料庫
measurement	資料庫中的表
points	表裡面的一行資料

InfluxDB中獨有的一些概念
Point由時間戳（time）、資料（field）、標籤（tags）組成。

Point屬性	傳統資料庫中的概念
time	每個資料記錄時間，是資料庫中的主索引(會自動生成)
fields	各種記錄值（沒有索引的屬性）也就是記錄的值：溫度，溼度
tags	各種有索引的屬性：地區，海拔

influxDB安裝

拉取最新版映象

# 拉取最新版映象
$ docker pull influxdb
# 檢視映象
$ docker images✨

使用映象建立容器

# 使用映象建立容器
$ docker run -d -p  8083:8083 -p 8086:8086 --name myinfluxdb influxdb
	-d 讓容器在後臺執行 
	-p 8083:8083 將容器的 8083 埠對映到主機的 8083 埠
	–-name 容器的名字，隨便取，但是必須唯一

開放防火牆埠

$ firewall-cmd --zone=public --add-port=8083/tcp --permanent
$ firewall-cmd --zone=public --add-port=8086/tcp --permanent
$ firewall-cmd --reload

停止容器
```
$ docker stop myinfluxdb
```

移除容器

# 移除的容器必須是已經停止的
$ docker rm myinfluxdb

檢視容器列表

# 只檢視正在執行的
$ docker ps

# 檢視所有的
$ docker ps -a

進入容器內部

# 該容器必須已經執行，才能進入
$ docker exec -it myinfluxdb /bin/bash

influxDB配置

使用名進入到myinfluxdb容器內部後，我們來做一點小小的配置

進入influxdb命令互動模式，類似於mysql的命令列

# 直接輸入influx
$ influx
Connected to http://localhost:8086 version 1.8.3
InfluxDB shell version: 1.8.3
> 


# 如果上述報錯，採用下面這種方式，輸入/usr/bin/influx
$ /usr/bin/influx

新增資料庫

# 檢視現有資料庫
> show databases;
name: databases
name
----
_internal

# 建立資料庫
> create database mytest

# 再次檢視你會發現有2個庫了
> show databases;
name: databases
name
----
_internal
mytest

# 使用資料庫
> use mytest

# 檢視使用者
> show users;
user admin
---- -----

建立一個使用者

> CREATE USER "master" WITH PASSWORD 'abcd1234' WITH ALL PRIVILEGES
> exit 退出

influxdb預設沒有校驗許可權，修改influxdb.conf檔案

# 在當前容器內執行
$ vim /etc/influxdb/influxdb.conf
# 此時你會發現vim命令不存在
bash: vim: command not found

安裝vim命令

# 在當前容器類執行（此步驟時間會比較長）
$ apt-get update
$ apt-get install vim

再次修改influxdb.conf檔案

# 修改[http]處的auth-enabled屬性為true
[http]
...
auth-enabled = true

注意有的版本配置檔案非常簡單，只有如下幾個配置：

[meta]
  dir = "/var/lib/influxdb/meta"

[data]
  dir = "/var/lib/influxdb/data"
  engine = "tsm1"
  wal-dir = "/var/lib/influxdb/wal"

我這邊修改完後的配置檔案全內容如下：

[meta]
  dir = "/var/lib/influxdb/meta"

[data]
  dir = "/var/lib/influxdb/data"
  engine = "tsm1"
  wal-dir = "/var/lib/influxdb/wal"

[http]
  enabled = true  
  bind-address = ":8086"  
  auth-enabled = true  # ✨ 此處預設是關閉的需要開啟，因為前面我們配置的使用者名稱密碼，所以需要開啟
  log-enabled = true  
  write-tracing = false  
  pprof-enabled = false  
  https-enabled = false

退出容器，重新啟動注意不要改錯，改錯了，容器就無法再起來了

$ docker restart

其實最詳細的配置檔案如下：**

### Welcome to the InfluxDB configuration file.

# Once every 24 hours InfluxDB will report usage data to usage.influxdata.com
# The data includes a random ID, os, arch, version, the number of series and other
# usage data. No data from user databases is ever transmitted.
# Change this option to true to disable reporting.
reporting-disabled = false

# we'll try to get the hostname automatically, but if it the os returns something
# that isn't resolvable by other servers in the cluster, use this option to
# manually set the hostname
# hostname = "localhost"

###
### [meta]
###
### Controls the parameters for the Raft consensus group that stores metadata
### about the InfluxDB cluster.
###

[meta]
  # Where the metadata/raft database is stored
  dir = "/var/lib/influxdb/meta"

  retention-autocreate = true

  # If log messages are printed for the meta service
  logging-enabled = true
  pprof-enabled = false

  # The default duration for leases.
  lease-duration = "1m0s"

###
### [data]
###
### Controls where the actual shard data for InfluxDB lives and how it is
### flushed from the WAL. "dir" may need to be changed to a suitable place
### for your system, but the WAL settings are an advanced configuration. The
### defaults should work for most systems.
###

[data]
  # Controls if this node holds time series data shards in the cluster
  enabled = true

  dir = "/var/lib/influxdb/data"

  # These are the WAL settings for the storage engine >= 0.9.3
  wal-dir = "/var/lib/influxdb/wal"
  wal-logging-enabled = true
  
  # Trace logging provides more verbose output around the tsm engine. Turning 
  # this on can provide more useful output for debugging tsm engine issues.
  # trace-logging-enabled = false

  # Whether queries should be logged before execution. Very useful for troubleshooting, but will
  # log any sensitive data contained within a query.
  # query-log-enabled = true

  # Settings for the TSM engine

  # CacheMaxMemorySize is the maximum size a shard's cache can
  # reach before it starts rejecting writes.
  # cache-max-memory-size = 524288000

  # CacheSnapshotMemorySize is the size at which the engine will
  # snapshot the cache and write it to a TSM file, freeing up memory
  # cache-snapshot-memory-size = 26214400

  # CacheSnapshotWriteColdDuration is the length of time at
  # which the engine will snapshot the cache and write it to
  # a new TSM file if the shard hasn't received writes or deletes
  # cache-snapshot-write-cold-duration = "1h"

  # MinCompactionFileCount is the minimum number of TSM files
  # that need to exist before a compaction cycle will run
  # compact-min-file-count = 3

  # CompactFullWriteColdDuration is the duration at which the engine
  # will compact all TSM files in a shard if it hasn't received a
  # write or delete
  # compact-full-write-cold-duration = "24h"

  # MaxPointsPerBlock is the maximum number of points in an encoded
  # block in a TSM file. Larger numbers may yield better compression
  # but could incur a performance penalty when querying
  # max-points-per-block = 1000

###
### [coordinator]
###
### Controls the clustering service configuration.
###

[coordinator]
  write-timeout = "10s"
  max-concurrent-queries = 0
  query-timeout = "0"
  log-queries-after = "0"
  max-select-point = 0
  max-select-series = 0
  max-select-buckets = 0

###
### [retention]
###
### Controls the enforcement of retention policies for evicting old data.
###

[retention]
  enabled = true
  check-interval = "30m"

###
### [shard-precreation]
###
### Controls the precreation of shards, so they are available before data arrives.
### Only shards that, after creation, will have both a start- and end-time in the
### future, will ever be created. Shards are never precreated that would be wholly
### or partially in the past.

[shard-precreation]
  enabled = true
  check-interval = "10m"
  advance-period = "30m"

###
### Controls the system self-monitoring, statistics and diagnostics.
###
### The internal database for monitoring data is created automatically if
### if it does not already exist. The target retention within this database
### is called 'monitor' and is also created with a retention period of 7 days
### and a replication factor of 1, if it does not exist. In all cases the
### this retention policy is configured as the default for the database.

[monitor]
  store-enabled = true # Whether to record statistics internally.
  store-database = "_internal" # The destination database for recorded statistics
  store-interval = "10s" # The interval at which to record statistics

###
### [admin]
###
### Controls the availability of the built-in, web-based admin interface. If HTTPS is
### enabled for the admin interface, HTTPS must also be enabled on the [http] service.
###

[admin]
  enabled = true
  bind-address = ":8083"
  https-enabled = false
  https-certificate = "/etc/ssl/influxdb.pem"

###
### [http]
###
### Controls how the HTTP endpoints are configured. These are the primary
### mechanism for getting data into and out of InfluxDB.
###

[http]
  enabled = true
  bind-address = ":8086"
  auth-enabled = true
  log-enabled = true
  write-tracing = false
  pprof-enabled = false
  https-enabled = false
  https-certificate = "/etc/ssl/influxdb.pem"
  ### Use a separate private key location.
  # https-private-key = ""
  max-row-limit = 10000
  realm = "InfluxDB"

###
### [subsciber]
###
### Controls the subscriptions, which can be used to fork a copy of all data
### received by the InfluxDB host.
###

[subsciber]
  enabled = true
  http-timeout = "30s"


###
### [[graphite]]
###
### Controls one or many listeners for Graphite data.
###

[[graphite]]
  enabled = false
  # database = "graphite"
  # bind-address = ":2003"
  # protocol = "tcp"
  # consistency-level = "one"

  # These next lines control how batching works. You should have this enabled
  # otherwise you could get dropped metrics or poor performance. Batching
  # will buffer points in memory if you have many coming in.

  # batch-size = 5000 # will flush if this many points get buffered
  # batch-pending = 10 # number of batches that may be pending in memory
  # batch-timeout = "1s" # will flush at least this often even if we haven't hit buffer limit
  # udp-read-buffer = 0 # UDP Read buffer size, 0 means OS default. UDP listener will fail if set above OS max.

  ### This string joins multiple matching 'measurement' values providing more control over the final measurement name.
  # separator = "."

  ### Default tags that will be added to all metrics.  These can be overridden at the template level
  ### or by tags extracted from metric
  # tags = ["region=us-east", "zone=1c"]

  ### Each template line requires a template pattern.  It can have an optional
  ### filter before the template and separated by spaces.  It can also have optional extra
  ### tags following the template.  Multiple tags should be separated by commas and no spaces
  ### similar to the line protocol format.  There can be only one default template.
  # templates = [
  #   "*.app env.service.resource.measurement",
  #   # Default template
  #   "server.*",
  # ]

###
### [collectd]
###
### Controls one or many listeners for collectd data.
###

[[collectd]]
  enabled = false
  # bind-address = ""
  # database = ""
  # typesdb = ""

  # These next lines control how batching works. You should have this enabled
  # otherwise you could get dropped metrics or poor performance. Batching
  # will buffer points in memory if you have many coming in.

  # batch-size = 1000 # will flush if this many points get buffered
  # batch-pending = 5 # number of batches that may be pending in memory
  # batch-timeout = "1s" # will flush at least this often even if we haven't hit buffer limit
  # read-buffer = 0 # UDP Read buffer size, 0 means OS default. UDP listener will fail if set above OS max.

###
### [opentsdb]
###
### Controls one or many listeners for OpenTSDB data.
###

[[opentsdb]]
  enabled = false
  # bind-address = ":4242"
  # database = "opentsdb"
  # retention-policy = ""
  # consistency-level = "one"
  # tls-enabled = false
  # certificate= ""
  # log-point-errors = true # Log an error for every malformed point.

  # These next lines control how batching works. You should have this enabled
  # otherwise you could get dropped metrics or poor performance. Only points
  # metrics received over the telnet protocol undergo batching.

  # batch-size = 1000 # will flush if this many points get buffered
  # batch-pending = 5 # number of batches that may be pending in memory
  # batch-timeout = "1s" # will flush at least this often even if we haven't hit buffer limit

###
### [[udp]]
###
### Controls the listeners for InfluxDB line protocol data via UDP.
###

[[udp]]
  enabled = false
  # bind-address = ""
  # database = "udp"
  # retention-policy = ""

  # These next lines control how batching works. You should have this enabled
  # otherwise you could get dropped metrics or poor performance. Batching
  # will buffer points in memory if you have many coming in.

  # batch-size = 1000 # will flush if this many points get buffered
  # batch-pending = 5 # number of batches that may be pending in memory
  # batch-timeout = "1s" # will flush at least this often even if we haven't hit buffer limit
  # read-buffer = 0 # UDP Read buffer size, 0 means OS default. UDP listener will fail if set above OS max.

  # set the expected UDP payload size; lower values tend to yield better performance, default is max UDP size 65536
  # udp-payload-size = 65536

###
### [continuous_queries]
###
### Controls how continuous queries are run within InfluxDB.
###

[continuous_queries]
  log-enabled = true
  enabled = true
  # run-interval = "1s" # interval for how often continuous queries will be checked if they need to run

退出容器，重新啟動注意不要改錯，改錯了，容器就無法再起來了
```
$ docker restart myinfluxdb
```

再次進入容器，並使用命令進行influx操作

root@5f1bb39363e6:/# influx     
Connected to http://localhost:8086 version 1.8.3
InfluxDB shell version: 1.8.3
> show users
ERR: unable to parse authentication credentials
Warning: It is possible this error is due to not setting a database.
Please set a database with the command "use <database>".
>

上述提示許可權校驗錯誤，接下來我們exit退出當前influx互動（不要退出容器），再次使用使用者密碼登入

root@5f1bb39363e6:/# influx -username 'master' -password 'abcd1234'
Connected to http://localhost:8086 version 1.8.3
InfluxDB shell version: 1.8.3
> show users
user   admin
----   -----
master true

上述登入成功，並且能夠使用show users語句

先切換到我們建立的mytest資料庫

> use mytest

資料插入

由於InfluxDB的無結構（schemeless）特性，我們不需要預先建表，直接use [ database ]後就可以寫入資料了。舉個例子。

INSERT cpu,host=serverA,region=us_west value=0.64
 
INSERT temperature,machine=unit42,type=assembly external=25,internal=37

讀資料

SELECT "host", "region", "value" FROM "cpu"
SELECT * FROM "temperature"

-- measurement都可以用正則表示，下面表示讀一個db下的所有measurement的資料
SELECT * FROM /.*/
-- 配上where條件
SELECT "region", "value" FROM "cpu" where "host" = "server1"

在這裡插入圖片描述

客戶端工具

下載地址：
連結：https://pan.baidu.com/s/1FBFRc2fPkmDoHDYjdNgntA
提取碼：s4ut

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常用InfluxQL

-- 檢視所有的資料庫
show databases;
-- 使用特定的資料庫
use database_name;
-- 檢視所有的measurement
show measurements;
-- 查詢10條資料
select * from measurement_name limit 10;
-- 資料中的時間欄位預設顯示的是一個納秒時間戳，改成可讀格式
precision rfc3339; -- 之後再查詢，時間就是rfc3339標準格式
-- 或可以在連線資料庫的時候，直接帶該引數
influx -precision rfc3339
-- 檢視一個measurement中所有的tag key 
show tag keys
-- 檢視一個measurement中所有的field key 
show field keys
-- 檢視一個measurement中所有的儲存策略(可以有多個，一個標識為default)
show retention policies;

程式碼批量插入

新建Java的SpringBoot專案，專案地址GitHub：

pom.xml

<parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.2.5.RELEASE</version>
        <relativePath/>
    </parent>
    <groupId>com.it235</groupId>
    <artifactId>influxdb</artifactId>
    <version>0.0.1-SNAPSHOT</version>

    <properties>
        <java.version>1.8</java.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.influxdb</groupId>
            <artifactId>influxdb-java</artifactId>
            <version>2.15</version>
        </dependency>
    </dependencies>

application.yml

server:
  port: 8010
spring:
  influx:
    url: http://192.168.1.31:8086
    user: master
    username: master
    password: abcd1234
    database: mytest
    retention_policy: default
    retention_policy_time: 30d

Java程式碼

import lombok.extern.slf4j.Slf4j;
import org.influxdb.InfluxDB;
import org.influxdb.dto.Point;
import org.influxdb.dto.Query;
import org.influxdb.dto.QueryResult;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;

import java.util.Map;
import java.util.concurrent.TimeUnit;

/**
 * @Author: it235.com
 * @Date: 2020-10-10
 * @Description: 工具支援類
 */
@Slf4j
@Component
public class InfluxDBSupport {
    /**
     * 資料儲存策略
     */
    @Value("${spring.influx.retentionPolicy:}")
    private String retentionPolicy;
    /**
     * 資料儲存策略中資料儲存時間
     */
    @Value("${spring.influx.retentionPolicyTime:}")
    private String retentionPolicyTime;

    @Value("${spring.influx.database:}")
    private String database;

    /**
     * InfluxDB例項
     */
    @Autowired
    private InfluxDB influxDB;

    public InfluxDBSupport() {
        // autogen預設的資料儲存策略
        this.retentionPolicy = retentionPolicy == null || "".equals(retentionPolicy) ? "autogen" : retentionPolicy;
        this.retentionPolicyTime = retentionPolicyTime == null || "".equals(retentionPolicy) ? "30d" : retentionPolicyTime;
    }

    /**
     * 設定資料儲存策略 defalut 策略名 /database 資料庫名/ 30d 資料儲存時限30天/ 1 副本個數為1/ 結尾DEFAULT
     * 表示 設為預設的策略
     */
    public void createRetentionPolicy() {
        String command = String.format("CREATE RETENTION POLICY \"%s\" ON \"%s\" DURATION %s REPLICATION %s DEFAULT",
                retentionPolicy, database, retentionPolicyTime, 1);
        this.query(command);
    }

    /**
     * 查詢
     *
     * @param command 查詢語句
     * @return
     */
    public QueryResult query(String command) {
        return influxDB.query(new Query(command, database));
    }

    /**
     * 插入
     *
     * @param measurement 表
     * @param tags        標籤
     * @param fields      欄位
     */
    public void insert(String measurement, Map<String, String> tags, Map<String, Object> fields) {
        Point.Builder builder = Point.measurement(measurement);
        // 納秒時會出現異常資訊：partial write: points beyond retention policy dropped=1
        // builder.time(System.nanoTime(), TimeUnit.NANOSECONDS);
        builder.time(System.currentTimeMillis(), TimeUnit.MILLISECONDS);
        builder.tag(tags);
        builder.fields(fields);

        log.info("influxDB insert data:[{}]", builder.build().toString());
        influxDB.write(database, "", builder.build());
    }

import lombok.extern.slf4j.Slf4j;
import org.influxdb.dto.QueryResult;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.CommandLineRunner;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

import java.util.HashMap;
import java.util.Map;

/**
 * @Author: it235.com
 * @Date: 2020-10-10
 * @Description: 啟動主程式
 */
@Slf4j
@SpringBootApplication
public class InfluxdbDemoApplication implements CommandLineRunner {

    public static void main(String[] args) {
        SpringApplication.run(InfluxdbDemoApplication.class, args);
    }

    @Autowired
    private InfluxDBSupport influxDBSupport;

    @Override
    public void run(String... args) throws Exception {
        //插入測試
        insertTest();

        //查詢測試
        //querTest();
    }

    /**
     * 插入測試
     * @throws InterruptedException
     */
    public void insertTest() throws InterruptedException {
        Map<String, String> tagsMap = new HashMap<>();
        Map<String, Object> fieldsMap = new HashMap<>();
        System.out.println("influxDB start time :" + System.currentTimeMillis());
        int i = 0;
        for (; ; ) {
            Thread.sleep(100);
            tagsMap.put("value", String.valueOf(i % 10));
            tagsMap.put("host", "https://www.it235.com");
            tagsMap.put("region", "west" + (i % 5));
            fieldsMap.put("count", i % 5);
            influxDBSupport.insert("cpu_test", tagsMap, fieldsMap);
            i++;
        }
    }

    /**
     * 查詢測試
     */
    public void querTest(){
        QueryResult rs = influxDBSupport.query("select * from usage");
        log.info("query result => {}", rs);
        if (!rs.hasError() && !rs.getResults().isEmpty()) {
            rs.getResults().forEach(System.out::println);
        }
    }

}

啟動程式測試，觀看控制檯可以看到在批量插入資料，此時也可以去influxdb中去看看

在這裡插入圖片描述

Docker安裝Grafana整合influxDB

Grafana介紹

Grafana安裝

前面我們已經學習了Docker的安裝和相關命令，接下來，我們只講解Grafana的內容

映象拉取

$ docker pull grafana/grafana
$ docker images

安裝配置

$ docker run -d -p 3000:3000 --name=it35graf grafana/grafana
$ docker ps -a

開放防火牆埠

$ firewall-cmd --zone=public --add-port=3000/tcp --permanent
$ firewall-cmd --reload

瀏覽器訪問http://ip:3000，使用者名稱密碼預設：admin

在這裡插入圖片描述

到此Grafana安裝完成

配置influxDB資料來源

在這裡插入圖片描述

建立Dashboard

dashboard是Grafana種用於展示呈現的工具，我們可以將influxdb中的資料展示到dashboard中

在這裡插入圖片描述

注意上述選擇的表一定是要有資料的，否則看不到效果

資料整合測試

開啟程式碼批量插入程式

在這裡插入圖片描述

觀看Grafana皮膚中的效果

在這裡插入圖片描述
到此Docker版的Grafana+influxdb就整合完成了。

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Docker版Grafana整合InfluxDB看這一篇就夠了（2020全網最詳細教程）

文章目錄

docker安裝

解除安裝

安裝

國內映象配置

Docker整合influxDB

influxDB介紹

influxDB安裝

influxDB配置

資料插入

客戶端工具

常用InfluxQL

程式碼批量插入

pom.xml

application.yml

Java程式碼

Docker安裝Grafana整合influxDB

Grafana介紹

Grafana安裝

配置influxDB資料來源

建立Dashboard

資料整合測試

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