如何使用Spark-Scala从Web下载CSV文件? [英] How to use Spark-Scala to download a CSV file from the web?

问题描述

世界

如何使用Spark-Scala从Web下载CSV文件并将其加载到spark-csv DataFrame中?

How to use Spark-Scala to download a CSV file from the web and load the file into a spark-csv DataFrame?

当前，我依靠shell命令中的curl来获取我的CSV文件.

Currently I depend on curl in a shell command to get my CSV file.

这是我要增强的语法:

/* fb_csv.scala
This script should load FB prices from Yahoo.

Demo:
spark-shell -i fb_csv.scala
*/

// I should get prices:
import sys.process._
"/usr/bin/curl -o /tmp/fb.csv http://ichart.finance.yahoo.com/table.csv?s=FB"!

import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)

val fb_df = sqlContext.read.format("com.databricks.spark.csv").option("header","true").option("inferSchema","true").load("/tmp/fb.csv")

fb_df.head(9)

我想增强上面的脚本，所以它是纯Scala，内部没有shell语法.

I want to enhance the above script so it is pure Scala with no shell syntax inside.

推荐答案

val content = scala.io.Source.fromURL("http://ichart.finance.yahoo.com/table.csv?s=FB").mkString

val list = content.split("\n").filter(_ != "")

val rdd = sc.parallelize(list)

val df = rdd.toDF

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