InfluxDB读写性能测试

2019年12月07日 阅读数:127
这篇文章主要向大家介绍InfluxDB读写性能测试,主要内容包括基础应用、实用技巧、原理机制等方面,希望对大家有所帮助。

这里将告诉您InfluxDB读写性能测试,教程操做步骤:html

今天进行了InfluxDB和MySQL的对比测试,这里记录下结果,也方便我之后查阅。mysql

操做系统: CentOS6.5_x64InfluxDB版本 : v1.1.0MySQL版本:v5.1.73CPU : Intel(R) Core(TM) i5-2320 CPU @ 3.00GHz内存 :12G硬盘 :SSDgit

1、MySQL读写测试 测试准备

初始化SQL语句:github

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CREATE DATABASE testMysql;
CREATE TABLE `monitorStatus` (
     `system_name` VARCHAR(20) NOT NULL,
     `site_name` VARCHAR(50) NOT NULL,
     `equipment_name` VARCHAR(50) NOT NULL,
     `current_value` DOUBLE NOT NULL,
     `timestamp` BIGINT(20) NULL DEFAULT NULL,
     INDEX `system_name` (`system_name`),
     INDEX `site_name` (`site_name`),
     INDEX `equipment_name` (`equipment_name`),
     INDEX `timestamp` (`timestamp`)
)
ENGINE=InnoDB;

单写测试代码(insertTest1.c):sql

InfluxDB读写性能测试
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#include <stdlib.h> 
#include <stdio.h> 
#include <time.h>
#include "mysql/mysql.h"
 
#define N 100
 
int main()
{
     MYSQL *conn_ptr; 
     int res; 
     int t,i,j;
     int64_t tstamp = 1486872962;       
     srand ( time (NULL));
     t=0;
     conn_ptr = mysql_init(NULL); 
     if (!conn_ptr)
    
         printf ( "mysql_init failed\n" ); 
         return EXIT_FAILURE; 
    
     conn_ptr = mysql_real_connect(conn_ptr, "localhost" , "root" , "" , "testMysql" ,0,NULL,0); 
     if (conn_ptr)
    
         for (i=1;i<= 10000;i++)
         {
             mysql_query(conn_ptr, "begin" );
             for (j=0;j<N;j++,t++)
             {
                 char query[1024]={0};
 
                 sprintf (query, "insert into monitorStatus values ('sys_%d','s_%d','e_%d','0.%02d','%lld');" ,
                     //j%10,(t+i)%10,(t+j)%10,(t+i+j)%100,tstamp);
                     j%10,(t+i)%10,(t+j)%10, rand ()%100,tstamp);
                 //printf("query : %s\n",query);
                 res = mysql_query(conn_ptr,query);
 
                 if (!res)
                 {  
                     //printf("Inserted %lu rows\n",(unsigned long)mysql_affected_rows(conn_ptr));  
                 }
                 else
                 {  
                     fprintf (stderr, "Insert error %d: %sn" ,mysql_errno(conn_ptr),mysql_error(conn_ptr)); 
                 }
                 if (j%10 == 0) tstamp+=1;
             }
             mysql_query(conn_ptr, "commit" );
             //printf("i=%d\n",i);
         }
     }
     else
    
         printf ( "Connection failed\n" ); 
    
     mysql_close(conn_ptr); 
     return EXIT_SUCCESS; 
}
View Code

可根据状况调整测试代码中的N参数。数据库

单读测试代码(queryTest1.c):性能

InfluxDB读写性能测试
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#include <stdio.h> 
#include <stdlib.h> 
#include "mysql/mysql.h"
 
int main()
     MYSQL *conn_ptr; 
     MYSQL_RES *res_ptr; 
     MYSQL_ROW sqlrow; 
     MYSQL_FIELD *fd; 
     int res, i, j; 
 
     conn_ptr = mysql_init(NULL); 
     if (!conn_ptr)
    
         return EXIT_FAILURE; 
    
     conn_ptr = mysql_real_connect(conn_ptr, "localhost" , "root" , "" , "testMysql" , 0, NULL, 0); 
     if (conn_ptr)
    
         res = mysql_query(conn_ptr, "select * from `monitorStatus` where system_name='sys_8' and site_name='s_9' and equipment_name='e_6' order by timestamp desc limit 10000;" );
 
         if (res)
         {        
             printf ( "SELECT error:%s\n" ,mysql_error(conn_ptr));    
         }
         else
         {       
             res_ptr = mysql_store_result(conn_ptr);            
             if (res_ptr)
             {              
                 printf ( "%lu Rows\n" ,(unsigned long )mysql_num_rows(res_ptr));  
                 j = mysql_num_fields(res_ptr);         
                 while ((sqlrow = mysql_fetch_row(res_ptr))) 
                
                     continue ;
                     for (i = 0; i < j; i++)        
                         printf ( "%s\t" , sqlrow[i]);               
                     printf ( "\n" );         
                 }             
                 if (mysql_errno(conn_ptr))
                 {                     
                     fprintf (stderr, "Retrive error:s\n" ,mysql_error(conn_ptr));              
                 }       
             }       
             mysql_free_result(res_ptr);       
        
     }
     else
    
         printf ( "Connection failed\n" ); 
    
     mysql_close(conn_ptr); 
     return EXIT_SUCCESS; 
}
View Code

Makefile文件:测试

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all:
     gcc -g insertTest1.c -o insertTest1 -L/usr/lib64/mysql/ -lmysqlclient
     gcc -g queryTest1.c -o queryTest1 -L/usr/lib64/mysql/ -lmysqlclient
 
clean:
     rm -rf insertTest1
     rm -rf queryTest1
测试数据记录

磁盘空间占用查询:fetch

使用du方式(新数据库,仅为测试):ui

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du -sh /var/lib/mysql

查询特定表:

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use information_schema;
select concat(round(sum(DATA_LENGTH/1024/1024), 2), 'MB' ) as data from TABLES where table_schema= 'testMysql' and table_name= 'monitorStatus' ;

测试结果:

100万条数据

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[root@localhost mysqlTest]# time ./insertTest1
 
real    1m20.645s
user    0m8.238s
sys    0m5.931s
 
[root@localhost mysqlTest]# time ./queryTest1
10000 Rows
 
real    0m0.269s
user    0m0.006s
sys    0m0.002s

原始数据 : 28.6Mdu方式 : 279MBsql查询方式: 57.59MB写入速度: 12398 / s读取速度: 37174 / s

1000万条数据
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root@localhost mysqlTest]# time ./insertTest1
 
real    7m15.003s
user    0m48.187s
sys    0m33.885s
 
 
[root@localhost mysqlTest]# time ./queryTest1
10000 Rows
 
real    0m6.592s
user    0m0.005s
sys    0m0.002s

原始数据 : 286Mdu方式 : 2.4Gsql查询方式: 572MB写入速度: 22988 / s读取速度: 1516 / s

3000万条数据
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[root@localhost mysqlTest]# time ./insertTest1
 
real    20m38.235s
user    2m21.459s
sys    1m40.329s
[root@localhost mysqlTest]# time ./queryTest1
10000 Rows
 
real    0m4.421s
user    0m0.004s
sys    0m0.004s

原始数据 : 858Mdu方式 : 7.1Gsql查询方式: 1714MB写入速度: 24228 / s读取速度: 2261 / s

2、InfluxDB读写测试 测试准备

须要将InfluxDB的源码放入 go/src/github.com/influxdata 目录

单写测试代码(write1.go):

InfluxDB读写性能测试
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package main
 
import (
     "log"
     "time"
     "fmt"
     "math/rand"
     "github.com/influxdata/influxdb/client/v2"
)
 
const (
     MyDB = "testInfluxdb"
     username = "root"
     password = ""
)
 
func queryDB(clnt client.Client, cmd string) (res []client.Result, err error) {
     q := client.Query{
         Command:  cmd,
         Database: MyDB,
     }
     if response, err := clnt.Query(q); err == nil {
         if response.Error() != nil {
             return res, response.Error()
         }
         res = response.Results
     } else {
         return res, err
     }
     return res, nil
}
 
func writePoints(clnt client.Client,num int ) {
     sampleSize := 1 * 10000
     rand .Seed(42)
     t := num
     bp, _ := client.NewBatchPoints(client.BatchPointsConfig{
         Database:  MyDB,
         Precision: "us" ,
     })
 
     for i := 0; i < sampleSize; i++ {
         t += 1
         tags := map[string]string{
             "system_name" : fmt.Sprintf( "sys_%d" ,i%10),
             "site_name" :fmt.Sprintf( "s_%d" , (t+i) % 10),
             "equipment_name" :fmt.Sprintf( "e_%d" ,t % 10),
         }
         fields := map[string]interface{}{
             "value" : fmt.Sprintf( "%d" , rand .Int()),
         }
         pt, err := client.NewPoint( "monitorStatus" , tags, fields, time .Now())
         if err != nil {
             log .Fatalln( "Error: " , err)
         }
         bp.AddPoint(pt)
     }
 
     err := clnt.Write(bp)
     if err != nil {
         log .Fatal(err)
     }
 
     //fmt.Printf("%d task done\n",num)
}
 
func main() {
     // Make client
     c, err := client.NewHTTPClient(client.HTTPConfig{
         Addr: "http://localhost:8086" ,
         Username: username,
         Password: password,
     })
 
     if err != nil {
         log .Fatalln(