---
title: 修改配置
description: "1. 打开配置文件。"
url: https://www.hikunpeng.com/document/detail/zh/kunpengbds/testguide/tstg/kunpengbdshib_11_0009.html
sourcePath: /source/zh/kunpengbds/testguide/tstg/kunpengbdshib_11_0009.html
indexId: c7fd612dae2d770e5228d1b6c4ffc8fa3462c95aa8c423661f5238d919cb9d4c63
---
# 修改配置

#### 修改hadoop.conf

1. 打开配置文件。

```
vi conf/
hadoop.conf.template hadoop.conf
```


2. 按“i”进入编辑模式，根据实际情况对如下内容进行修改。

```
# Hadoop home
hibench.hadoop.home     /usr/hdp/current/hadoop-client
# The root HDFS path to store HiBench data
hibench.hdfs.master       hdfs://hadoop102:8020
# Hadoop release provider. Supported value: apache, cdh5, hdp
hibench.hadoop.release    hdp
```


3. 按“Esc”键，输入:wq!，按“Enter”保存并退出编辑。


#### 修改spark.conf

1. 打开配置文件。

```
cp spark.conf.template spark.conf
vi spark.conf
```


2. 按“i”进入编辑模式，根据实际情况对如下内容进行修改。

```
# Spark home
hibench.spark.home      /usr/hdp/current/spark2-client
# executor number and cores when running on YARN
hibench.yarn.executor.num     20
hibench.yarn.executor.cores   19
# executor and driver memory in standalone & YARN mode
spark.executor.memory  44g
spark.driver.memory    36g
```


3. 按“Esc”键，输入:wq!，按“Enter”保存并退出编辑。


#### 修改hibench.conf

1. 打开配置文件。
  1 vi hibench.conf

2. 按“i”进入编辑模式，根据实际情况对如下内容进行修改。

```
# The definition of these profiles can be found in the workload's conf file i.e. conf/workloads/micro/wordcount.conf
hibench.scale.profile                small #此处的small对应HiBench-HiBench-7.0/conf/workloads/micro/wordcount.conf里面设置的值
# Mapper number in hadoop, partition number in Spark
hibench.default.map.parallelism         8
# Reducer number in hadoop, shuffle partition number in Spark
hibench.default.shuffle.parallelism     8
#进入HiBench-HiBench-7.0/conf/workloads/micro/wordcount.conf修改对应级别的数据量
```


3. 按“Esc”键，输入:wq!，按“Enter”保存并退出编辑。


#### 查看wordcount.conf目录

```
cat workloads/micro/wordcount.conf
```

```
#datagen
hibench.wordcount.tiny.datasize                 32000
hibench.wordcount.small.datasize                320000000
hibench.wordcount.large.datasize                3200000000
hibench.wordcount.huge.datasize                 32000000000
hibench.wordcount.gigantic.datasize             320000000000
hibench.wordcount.bigdata.datasize              1600000000000
```