# 运行spark

控制台输入pyspark进入

```python
# 查看运行模式
>>> sc.master
'local[*]'

# 读取本地文件，如果有hdfs服务器，还可以设置为(hdfs://master:9000/user/xxx/xx.txt)
>>> textfile=sc.textFile('file:/Users/jiang/Documents/spark/study/README.md')

# 查看文件行数
>>> textfile.count()
17
```

ps:spark可以运行在hadoop YARN，此时sc.master就是部署的机器了

spark/conf/spark-env.sh可以配置spark环境

## notebook 运行spark

> 注意：需要先启动了spark

把**pyspark包放到pytho环境的site-packege**下，这样可以直接用

我的直接放conda的python3.7环境下

![](/files/-LqgNnRNWvbO2VhCuNf0)

然后就可以直接导入了：

![](/files/-LoyKMmdp9Q1fSd0k6O_)


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