关于“Running Jobs on Managed Apache Spark”的评价

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. · 已于 about 3 years前审核

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Stergios M. · 已于 about 3 years前审核

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tushar s. · 已于 about 3 years前审核

Rhaydrick S. · 已于 about 3 years前审核

Rongzhi Z. · 已于 about 3 years前审核

Eduardo G. · 已于 about 3 years前审核

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. · 已于 about 3 years前审核

Yaozhi L. · 已于 about 3 years前审核

Aleksandr A. · 已于 about 3 years前审核

Daniel V. · 已于 about 3 years前审核

Fatih S. · 已于 about 3 years前审核

Guillaume P. · 已于 about 3 years前审核

complex

Maximiliano A. · 已于 about 3 years前审核

Ignacio V. · 已于 about 3 years前审核

Paweł M. · 已于 about 3 years前审核

Olesya S. · 已于 about 3 years前审核

Ajay T. · 已于 about 3 years前审核

Hajer D. · 已于 about 3 years前审核

Barış A. · 已于 about 3 years前审核

Gastón E. · 已于 about 3 years前审核

Dejan J. · 已于 about 3 years前审核

Yannic H. · 已于 about 3 years前审核

Learnt how to make use of Cloud Storage instead of HDFS to stage data

Ali H. · 已于 about 3 years前审核