python-pyspark数据输入

标签：SparkContext parallelize pyspark python print collect rdd sc 输入

数据容器转rdd对象

通过SparkContext对象的parallelize成员方法，将python数据容器转为rdd对象

from pyspark import SparkConf,SparkContext


conf = SparkConf().setMaster("local[*]").setAppName("test_spark_app")
sc = SparkContext(conf=conf)

data1 = [1, 2, 3, 4, 5]
data2 = (1, 2, 3, 4, 5)
data3 = {1, 2, 3, 4, 5}
data4 = "abcdefg"
data5 = {"key1":"value1", "key2":"value2"}

rdd1 = sc.parallelize(data1)
rdd2 = sc.parallelize(data2)
rdd3 = sc.parallelize(data3)
rdd4 = sc.parallelize(data4)
rdd5 = sc.parallelize(data5)

print(rdd1.collect())
print(rdd2.collect())
print(rdd3.collect())
print(rdd4.collect())
print(rdd5.collect())

sc.stop()     读取文本文件转rdd对象 通过SparkContext的textfile成员方法，读取文本文件得到rdd对象 from pyspark import SparkConf,SparkContext

conf = SparkConf().setMaster("local[*]").setAppName("test_spark_app")
sc = SparkContext(conf=conf)

rdd = sc.textFile("D:\WordCount\input\data.txt")
print(rdd.collect())

sc.stop()

标签：SparkContext,parallelize,pyspark,python,print,collect,rdd,sc,输入
From： https://www.cnblogs.com/wjzohou/p/17969760