相比于pandas，pyspark的dataframe的接口和sql类似，比较容易上手。
搭建python3环境
建议使用miniconda3
下载地址：https://mirrors.bfsu.edu.cn/anaconda/miniconda/ 选择py37版本
conda镜像配置：https://mirrors.bfsu.edu.cn/help/anaconda/
pip镜像配置：https://mirrors.bfsu.edu.cn/help/pypi/
miniconda安装，直接sh minicondaxxxxxx.sh 很简单
选择一个编辑器或者pycharm
pyspark跑单机模式
准备数据集data.csv
name,age 张三,24 李四,25 小红,22
编写一下代码,使用jupyter更佳。
from pyspark.sql import SparkSession
spark = SparkSession.builder.master("local[*]").getOrCreate()
print("
app start")
df = spark.read.option('header','true').csv("data.csv")
df.printSchema()
df.show()
df.filter("age<25").show()
spark.stop()
20/12/05 22:14:07 WARN Utils: Your hostname, shuai-virtual-machine resolves to a loopback address: 127.0.1.1; using 192.168.153.128 instead (on interface ens33) 20/12/05 22:14:07 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address WARNING: An illegal reflective access operation has occurred WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/home/shuai/miniconda3/lib/python3.7/site-packages/pyspark/jars/spark-unsafe_2.12-3.0.1.jar) to constructor java.nio.DirectByteBuffer(long,int) WARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations WARNING: All illegal access operations will be denied in a future release 20/12/05 22:14:08 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). app start root |-- name: string (nullable = true) |-- age: string (nullable = true) +----+---+ |name|age| +----+---+ |张三| 24| |李四| 25| |小红| 22| +----+---+ +----+---+ |name|age| +----+---+ |张三| 24| |小红| 22| +----+---+