关于“Running Apache Spark jobs on Cloud Dataproc”的评价

评论

Anvesh P. · 评论over 2 years之前

Sergio R. · 评论over 2 years之前

Satyam S. · 评论over 2 years之前

Giuseppe P. · 评论over 2 years之前

Jerome v. · 评论over 2 years之前

Alberto Jose M. · 评论over 2 years之前

Albert K. · 评论over 2 years之前

Gaurav J. · 评论over 2 years之前

Mohamed Y. · 评论over 2 years之前

Davide C. · 评论over 2 years之前

Allister H. · 评论over 2 years之前

Leonardo R. · 评论over 2 years之前

This code didn't work Py4JavaError on last line: from pyspark.sql import SparkSession, SQLContext, Row gcs_bucket='378837530308' spark = SparkSession.builder.appName("kdd").getOrCreate() sc = spark.sparkContext data_file = "gs://"+gcs_bucket+"//kddcup.data_10_percent.gz" raw_rdd = sc.textFile(data_file).cache() raw_rdd.take(5)

Louise O. · 评论over 2 years之前

Zaklina P. · 评论over 2 years之前

Stergios M. · 评论over 2 years之前

Zainab A. · 评论over 2 years之前

tushar s. · 评论over 2 years之前

Rhaydrick S. · 评论over 2 years之前

Rongzhi Z. · 评论over 2 years之前

Eduardo G. · 评论over 2 years之前

Provides an average understanding. Some of the button names have been updated on the tool/ dataproc compared to the instructions but was able to figure it out

Mario D. · 评论over 2 years之前

Yaozhi L. · 评论over 2 years之前

Aleksandr A. · 评论over 2 years之前

Daniel V. · 评论over 2 years之前

Fatih S. · 评论over 2 years之前

我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。