InfluxDB读写性能测试

Posted on 2018-01-02 13:49  #大囚长#  阅读(1136)  评论(0)  编辑  收藏  举报

这里将告诉您InfluxDB读写性能测试,教程操作步骤:

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

操作系统： 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 ：SSD

一、MySQL读写测试 测试准备

初始化SQL语句：

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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）：

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

可根据情况调整测试代码中的N参数。

单读测试代码（queryTest1.c）：

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：

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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：

使用du方式（新数据库，仅为测试）：

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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

二、InfluxDB读写测试 测试准备

需要将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("Error: ", err)
    }
    _, err = queryDB(c, fmt.Sprintf("CREATE DATABASE %s", MyDB))
    if err != nil {
        log.Fatal(err)
    }
 
    i := 1
    for i <= 10000 {
        defer writePoints(c,i)
        //fmt.Printf("i=%d\n",i)
        i += 1
    }
    //fmt.Printf("task done : i=%d \n",i)
 
}
View Code

单读测试代码（query1.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 main() {
    // Make client
    c, err := client.NewHTTPClient(client.HTTPConfig{
        Addr: "http://localhost:8086",
        Username: username,
        Password: password,
    })
 
    if err != nil {
        log.Fatalln("Error: ", err)
    }
    q := fmt.Sprintf("select * from monitorStatus where system_name='sys_5' and site_name='s_1' and equipment_name='e_6' order by time desc limit 10000 ;")
    res, err2 := queryDB(c, q)
    if err2 != nil {
        log.Fatal(err)
    }
    count := len(res[0].Series[0].Values)
    log.Printf("Found a total of %v records\n", count)
 
}
View Code 测试结果记录

查看整体磁盘空间占用：

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du -sh /var/lib/influxdb/

查看最终磁盘空间占用：

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du -sh /var/lib/influxdb/data/testInfluxdb
100万条数据
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[root@localhost goTest2]# time ./write1
real    0m14.594s
user    0m11.475s
sys    0m0.251s
 
[root@localhost goTest2]# time ./query1
2017/02/12 20:00:24 Found a total of 10000 records
 
real    0m0.222s
user    0m0.052s
sys    0m0.009s

原始数据 : 28.6M整体磁盘占用：27M最终磁盘占用：21M写入速度： 68521 / s读取速度： 45045 / s

1000万条数据

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[root@localhost goTest2]# time ./write1
 
real    2m22.520s
user    1m51.704s
sys    0m2.532s
 
[root@localhost goTest2]# time ./query1
2017/02/12 20:05:16 Found a total of 10000 records
 
real    0m0.221s
user    0m0.050s
sys    0m0.003s

原始数据 : 286M整体磁盘占用：214M最终磁盘占用：189M 写入速度： 70165 / s读取速度： 45249 / s

3000万条数据
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[root@localhost goTest2]# time ./write1
 
real    7m19.121s
user    5m49.738s
sys    0m8.189s
[root@localhost goTest2]# ls
query1  query1.go  write1  write1.go
[root@localhost goTest2]# time ./query1
2017/02/12 20:49:40 Found a total of 10000 records
 
real    0m0.233s
user    0m0.050s
sys    0m0.012s

原始数据 : 858M整体磁盘占用：623M最终磁盘占用：602M写入速度： 68318 / s读取速度： 42918 / s

三、测试结果分析

整体磁盘占用情况对比：

InfluxDB读写性能测试

最终磁盘占用情况对比：

InfluxDB读写性能测试

写入速度对比：

InfluxDB读写性能测试

读取速度对比：

InfluxDB读写性能测试

结论：

相比MySQL来说，InfluxDB在磁盘占用和数据读取方面很占优势，而且随着数据规模的扩大，查询速度没有明显的下降。针对时序数据来说，InfluxDB有明显的优势。

好，就这些了，希望对你有帮助。