May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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How to do it...
- Start the Spark shell or Databricks Cloud Scala notebook:
$ spark-shell
- Load the reviews as a DataFrame:
scala> val reviews = spark.read.format("json").option ("inferschema","true").load("s3a://sparkcookbook/yelpdata/ yelp_academic_dataset_review.json").withColumn("rtype", ($"type")).drop("type")
- Print the schema:
scala> reviews.printSchema root |-- business_id: string (nullable = true) |-- cool: long (nullable = true) |-- date: string (nullable = true) |-- funny: long (nullable = true) |-- review_id: string (nullable = true) |-- stars: long (nullable = true) |-- text: string (nullable = true) |-- useful: long (nullable = true) |-- user_id: string (nullable = true) |-- rtype: string (nullable = true)
- Create ...
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