安装TDengine数据库3.3版本和TDengine数据库可视化管理工具

最笨的羊羊2024-10-18 18:24

安装TDengine数据库3.3版本和TDengine数据库可视化管理工具

一、下载安装包

  • TDengine-client-3.3.3.0-Linux-x64.tar.gz
  • TDengine-server-3.3.3.0-Linux-x64.tar.gz

二、解压安装包

bash 复制代码 
tar -zxvf TDengine-server-3.3.3.0-Linux-x64.tar.gz

三、部署

bash 复制代码 
cd TDengine-server-3.3.3.0/
./install.sh

四、启动服务

bash 复制代码 
./start-all.sh
bash 复制代码 
./start-all.sh 
taosd has been started successfully
taosadapter has been started successfully
taos-explorer has been started successfully
taoskeeper has been started successfully

五、进入数据库

bash 复制代码 
taos
Welcome to the TDengine Command Line Interface, Client Version:3.3.3.0
Copyright (c) 2023 by TDengine, all rights reserved.


  *********************************  Tab Completion  *************************************
  *   The TDengine CLI supports tab completion for a variety of items,                   *
  *   including database names, table names, function names and keywords.                *
  *   The full list of shortcut keys is as follows:                                      *
  *    [ TAB ]        ......  complete the current word                                  *
  *                   ......  if used on a blank line, display all supported commands    *
  *    [ Ctrl + A ]   ......  move cursor to the st[A]rt of the line                     *
  *    [ Ctrl + E ]   ......  move cursor to the [E]nd of the line                       *
  *    [ Ctrl + W ]   ......  move cursor to the middle of the line                      *
  *    [ Ctrl + L ]   ......  clear the entire screen                                    *
  *    [ Ctrl + K ]   ......  clear the screen after the cursor                          *
  *    [ Ctrl + U ]   ......  clear the screen before the cursor                         *
  ****************************************************************************************

Server is TDengine Community Edition, ver:3.3.3.0 and will never expire.

taos>

六、创建数据库、表和往表中插入数据

bash 复制代码 
taos> CREATE DATABASE demo;
Create OK, 0 row(s) affected (1.124408s)

taos> USE demo;
Database changed.

taos> CREATE TABLE t (ts TIMESTAMP, speed INT);
Create OK, 0 row(s) affected (0.000997s)

taos> INSERT INTO t VALUES ('2019-07-15 00:00:00', 10);
Insert OK, 1 row(s) affected (0.000910s)

taos> INSERT INTO t VALUES ('2019-07-15 01:00:00', 20);
Insert OK, 1 row(s) affected (0.005860s)

taos> SELECT * FROM t;
           ts            |    speed    |
========================================
 2019-07-15 00:00:00.000 |          10 |
 2019-07-15 01:00:00.000 |          20 |
Query OK, 2 row(s) in set (0.005122s)

七、测试 TDengine 性能

taosBenchmark 是一个专为测试 TDengine 性能而设计的工具，它能够全面评估TDengine 在写入、查询和订阅等方面的功能表现。该工具能够模拟大量设备产生的数据，并允许用户灵活控制数据库、超级表、标签列的数量和类型、数据列的数量和类型、子表数量、每张子表的数据量、写入数据的时间间隔、工作线程数量以及是否写入乱序数据等策略。

启动 TDengine 的服务，在终端中执行如下命令

bash 复制代码 
taosBenchmark -y

系统将自动在数据库 test 下创建一张名为 meters的超级表。这张超级表将包含 10,000 张子表，表名从 d0 到 d9999，每张表包含 10,000条记录。每条记录包含 ts（时间戳）、current（电流）、voltage（电压）和 phase（相位）4个字段。时间戳范围从 "2017-07-14 10:40:00 000" 到 "2017-07-14 10:40:09 999"。每张表还带有 location 和 groupId 两个标签，其中，groupId 设置为 1 到 10，而 location 则设置为 California.Campbell、California.Cupertino 等城市信息。

执行该命令后，系统将迅速完成 1 亿条记录的写入过程。实际所需时间取决于硬件性能，但即便在普通 PC 服务器上，这个过程通常也只需要十几秒。

taosBenchmark 提供了丰富的选项，允许用户自定义测试参数，如表的数目、记录条数等。要查看详细的参数列表，请在终端中输入如下命令

bash 复制代码 
taosBenchmark --help

执行命令taosBenchmark -y

bash 复制代码 
taosBenchmark -y
[10/12 13:53:31.737500] INFO: thread[2] has currently inserted rows: 6680000, peroid insert rate: 57478.902 rows/s 
[10/12 13:54:01.626770] INFO: thread[7] has currently inserted rows: 8750000, peroid insert rate: 56196.588 rows/s 
[10/12 13:54:01.636041] INFO: thread[0] has currently inserted rows: 8850000, peroid insert rate: 65632.458 rows/s 
[10/12 13:54:01.644073] INFO: thread[3] has currently inserted rows: 8720000, peroid insert rate: 59466.463 rows/s 
[10/12 13:54:01.714261] INFO: thread[6] has currently inserted rows: 9090000, peroid insert rate: 65726.141 rows/s 
[10/12 13:54:01.741624] INFO: thread[5] has currently inserted rows: 9110000, peroid insert rate: 63152.297 rows/s 
[10/12 13:54:01.781242] INFO: thread[4] has currently inserted rows: 9460000, peroid insert rate: 74258.246 rows/s 
[10/12 13:54:01.783933] INFO: thread[2] has currently inserted rows: 8400000, peroid insert rate: 57245.557 rows/s 
[10/12 13:54:01.839000] INFO: thread[1] has currently inserted rows: 8960000, peroid insert rate: 64533.210 rows/s 
[10/12 13:54:31.692352] INFO: thread[0] has currently inserted rows: 10630000, peroid insert rate: 59222.784 rows/s 
[10/12 13:54:31.738517] INFO: thread[7] has currently inserted rows: 10660000, peroid insert rate: 63429.862 rows/s 
[10/12 13:54:31.749352] INFO: thread[6] has currently inserted rows: 11010000, peroid insert rate: 63925.420 rows/s 
[10/12 13:54:31.804888] INFO: thread[3] has currently inserted rows: 10600000, peroid insert rate: 62334.218 rows/s 
[10/12 13:54:31.836902] INFO: thread[2] has currently inserted rows: 10250000, peroid insert rate: 61557.914 rows/s 
[10/12 13:54:31.946442] INFO: thread[5] has currently inserted rows: 11060000, peroid insert rate: 64558.848 rows/s 
[10/12 13:54:32.007113] INFO: thread[4] has currently inserted rows: 11290000, peroid insert rate: 60543.903 rows/s 
[10/12 13:54:32.014142] INFO: thread[1] has currently inserted rows: 10770000, peroid insert rate: 59983.430 rows/s 
[10/12 13:54:55.829381] SUCC: thread[4] progressive mode, completed total inserted rows: 12500000, 68051.64 records/second
[10/12 13:54:58.067199] SUCC: thread[5] progressive mode, completed total inserted rows: 12500000, 67456.82 records/second
[10/12 13:54:58.491784] SUCC: thread[6] progressive mode, completed total inserted rows: 12500000, 67453.45 records/second
[10/12 13:55:00.483286] SUCC: thread[1] progressive mode, completed total inserted rows: 12500000, 65938.78 records/second
[10/12 13:55:01.719979] INFO: thread[0] has currently inserted rows: 12340000, peroid insert rate: 56948.746 rows/s 
[10/12 13:55:01.839691] INFO: thread[3] has currently inserted rows: 12360000, peroid insert rate: 58598.302 rows/s 
[10/12 13:55:01.858470] INFO: thread[7] has currently inserted rows: 12410000, peroid insert rate: 58100.930 rows/s 
[10/12 13:55:01.984463] INFO: thread[2] has currently inserted rows: 12020000, peroid insert rate: 58710.362 rows/s 
[10/12 13:55:02.896923] SUCC: thread[7] progressive mode, completed total inserted rows: 12500000, 65533.55 records/second
[10/12 13:55:03.323273] SUCC: thread[3] progressive mode, completed total inserted rows: 12500000, 65662.65 records/second
[10/12 13:55:03.563548] SUCC: thread[0] progressive mode, completed total inserted rows: 12500000, 65438.26 records/second
[10/12 13:55:03.564967] INFO:  pthread_join 1 ...
[10/12 13:55:03.565000] INFO:  pthread_join 2 ...
[10/12 13:55:04.986802] SUCC: thread[2] progressive mode, completed total inserted rows: 12500000, 65438.63 records/second
[10/12 13:55:04.987292] INFO:  pthread_join 3 ...
[10/12 13:55:04.987317] INFO:  pthread_join 4 ...
[10/12 13:55:04.987347] INFO:  pthread_join 5 ...
[10/12 13:55:04.987361] INFO:  pthread_join 6 ...
[10/12 13:55:04.987375] INFO:  pthread_join 7 ...
[10/12 13:55:04.988953] SUCC: Spent 213.814175 (real 188.377236) seconds to insert rows: 100000000 with 8 thread(s) into test 467695.84 (real 530849.70) records/second
[10/12 13:55:04.988984] SUCC: insert delay, min: 16.7500ms, avg: 150.7018ms, p90: 240.1580ms, p95: 276.0430ms, p99: 359.5250ms, max: 716.8750ms

八、使用数据库

bash 复制代码 
taos> show databases;
              name              |
=================================
 information_schema             |
 performance_schema             |
 demo                           |
 log                            |
 test                           |
Query OK, 5 row(s) in set (0.018932s)

taos> use test;
Database changed.

九、查询数据

使用上述 taosBenchmark 插入数据后，可以在 TDengine CLI（taos）输入查询命令，体验查询速度。

查询超级表 meters 下的记录总条数

SELECT COUNT(*) FROM test.meters;

bash 复制代码 
taos> SELECT COUNT(*) FROM test.meters;
       count(*)        |
========================
             100000000 |
Query OK, 1 row(s) in set (0.253498s)

查询 1 亿条记录的平均值、最大值、最小值

SELECT AVG(current), MAX(voltage), MIN(phase) FROM test.meters;

bash 复制代码 
taos> SELECT AVG(current), MAX(voltage), MIN(phase) FROM test.meters;
       avg(current)        | max(voltage) |      min(phase)      |
==================================================================
        10.208735134506226 |          258 |          145.0000000 |
Query OK, 1 row(s) in set (4.253205s)

查询 location = "California.SanFrancisco" 的记录总条数

SELECT COUNT(*) FROM test.meters WHERE location = "California.SanFrancisco";

bash 复制代码 
taos> SELECT COUNT(*) FROM test.meters WHERE location = "California.SanFrancisco";
       count(*)        |
========================
              10070000 |
Query OK, 1 row(s) in set (0.038677s)

查询 groupId = 10 的所有记录的平均值、最大值、最小值

SELECT AVG(current), MAX(voltage), MIN(phase) FROM test.meters WHERE groupId = 10;

bash 复制代码 
taos> SELECT AVG(current), MAX(voltage), MIN(phase) FROM test.meters WHERE groupId = 10;
       avg(current)        | max(voltage) |      min(phase)      |
==================================================================
        10.208735134506226 |          258 |          145.0000000 |
Query OK, 1 row(s) in set (0.450205s)

对表 d1001 按每 10 秒进行平均值、最大值和最小值聚合统计

SELECT _wstart, AVG(current), MAX(voltage), MIN(phase) FROM test.d1001 INTERVAL(10s);

bash 复制代码 
taos> SELECT _wstart, AVG(current), MAX(voltage), MIN(phase) FROM test.d1001 INTERVAL(10s);
         _wstart         |       avg(current)        | max(voltage) |      min(phase)      |
============================================================================================
 2017-07-14 10:40:00.000 |        10.208735134506226 |          258 |          145.0000000 |
Query OK, 1 row(s) in set (0.025560s)

在上面的查询中，使用系统提供的伪列_wstart 来给出每个窗口的开始时间。

十、TDengine数据库可视化界面

  • ip:6060/explorer

用户名为 root，密码为 taosdata

相关推荐
野猪亨利66718 分钟前
Qt day1
开发语言·数据库·qt
本就一无所有 何惧重新开始35 分钟前
Redis技术应用
java·数据库·spring boot·redis·后端·缓存
isaki13739 分钟前
qt day1
开发语言·数据库·qt
流星白龙1 小时前
【Qt】4.项目文件解析
开发语言·数据库·qt
小钻风33661 小时前
HTTPS是如何确保安全的
网络·数据库
CryptoPP1 小时前
获取越南股票市场列表（包含VN30成分股）实战指南
大数据·服务器·数据库·区块链
阿巴～阿巴～2 小时前
Redis重大版本演进全解析：从2.6到7.0
服务器·数据库·redis·ubuntu·缓存·centos
qq_404643343 小时前
MySQL中RUNCATE、DELETE、DROP 的基本介绍
数据库·mysql
suoyue_zhan4 小时前
【TCP-BP】时序数据库 TDengine 限时免费培训&认证
tcp/ip·时序数据库·tdengine
像风一样!4 小时前
MySQL数据库如何实现主从复制
数据库·mysql
热门推荐
01两千字总结：Codex 国内如何安装和使用的教程，以及如何设置中文回答02GitHub 镜像站点03BongoCat - 跨平台键盘猫动画工具04GitLab 零基础入门指南：从安装到项目管理全流程05UV安装并设置国内源06Linux下V2Ray安装配置指南0746个Nano-banana 精选提示词，持续更新中08Labelme从安装到标注：零基础完整指南092025羊城杯网络安全大赛 wp10UV 工具安装与国内镜像源配置指南