Data analysis scala_spark

Feb 26, 2017Download as PPTX, PDF0 likes255 views

This document demonstrates how to use Scala and Spark to analyze text data from the Bible. It shows how to install Scala and Spark, load a text file of the Bible into a Spark RDD, perform searches to count verses containing words like "God" and "Love", and calculate statistics on the data like the total number of words and unique words used in the Bible. Example commands and outputs are provided.

DATA ANALYSIS
WITH
SCALA/SPARK
YIGUANG HU

DOWNLOAD/INSTALL SCALA, SPARK
• DOWNLOAD/INSTALL SCALA FROM
• HTTPS://WWW.SCALA-LANG.ORG
• DOWNLOAD/INSTALL SPARK FROM
• HTTP://SPARK.APACHE.ORG
• SETUP SCALA_HOME AND SPARK_HOME BASED ON
INSTALL

TEST INSTALL
• run $SPARK_HOME/bin/spark-shell
• should bring you to prompt
• scala>
• run a few commands on such as
• val lines=sc.parallelize(List("Hello world”,"hi"))
• lines.count()
• should print 2

LOAD TEXT FILE
scala> val kjv=sc.textFile(“kjv.txt")
kjv: org.apache.spark.rdd.RDD[String] = kjv.txt MapPartitionsRDD[1] at
textFile at <console>:24
scala> kjv.count()
res0: Long = 31143
Now Bible text is loaded into kjv

SEARCH
• How many verses contains word “God”?
scala> val god=kjv.filter(x=>x.contains("God"))
god: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[3] at filter at <console>:26
scala> god.count()
res2: Long = 3585
• How many verses contains word “Love”/“love”
scala> val love=kjv.filter(x=> x.contains("Love")||x.contains("love"))
love: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[4] at filter at <console>:26
scala> love.count()
res3: Long = 546

SEARCH
How many verses contains God or Love?
scala> val god_or_love=god.union(love)
god_or_love: org.apache.spark.rdd.RDD[String] = UnionRDD[5] at union at <console>:30
scala> god_or_love.count()
res4: Long = 4131
scala>
How many verses contains both God and Love?
scala> val god_and_love=god.intersection(love)
god_and_love: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[11] at intersection at <console>:30
scala> god_and_love.count()
res5: Long = 100

STATISTICS
• How many words are used in Bible?
scala> val words = kjv.flatMap(line=>line.split(" "))
words: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[12] at flatMap at <console>:26
scala> words.count()
res6: Long = 820867
How many unique words are used in Bible?
scala> val distinctword=words.distinct()
distinctword: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[15] at distinct at <console>:28
scala> distinctword.count()
res7: Long = 60023
• How many times each word is used in Bible?
scala> count_by_word.toList.sortBy(_._2).reverse.take(10).foreach (println)
(the,62050)
(and,38571)
(of,34393)
(to,13363)
(And,12739)
(that,12454)
(in,12167)
(shall,9759)
(he,9509)
(unto,8931)

STATISTICS
• How many verses in Genesis
scala> val ge=kjv.filter(line=>line.startsWith("Ge"))
ge: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[22] at filter at
<console>:26
scala> ge.count()
res24: Long = 1534

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Data analysis scala_spark

1. DATA ANALYSIS WITH SCALA/SPARK YIGUANG HU

2. DOWNLOAD/INSTALL SCALA, SPARK • DOWNLOAD/INSTALL SCALA FROM • HTTPS://WWW.SCALA-LANG.ORG • DOWNLOAD/INSTALL SPARK FROM • HTTP://SPARK.APACHE.ORG • SETUP SCALA_HOME AND SPARK_HOME BASED ON INSTALL

3. TEST INSTALL • run $SPARK_HOME/bin/spark-shell • should bring you to prompt • scala> • run a few commands on such as • val lines=sc.parallelize(List("Hello world”,"hi")) • lines.count() • should print 2

4. LOAD TEXT FILE scala> val kjv=sc.textFile(“kjv.txt") kjv: org.apache.spark.rdd.RDD[String] = kjv.txt MapPartitionsRDD[1] at textFile at <console>:24 scala> kjv.count() res0: Long = 31143 Now Bible text is loaded into kjv

5. SEARCH • How many verses contains word “God”? scala> val god=kjv.filter(x=>x.contains("God")) god: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[3] at filter at <console>:26 scala> god.count() res2: Long = 3585 • How many verses contains word “Love”/“love” scala> val love=kjv.filter(x=> x.contains("Love")||x.contains("love")) love: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[4] at filter at <console>:26 scala> love.count() res3: Long = 546

6. SEARCH How many verses contains God or Love? scala> val god_or_love=god.union(love) god_or_love: org.apache.spark.rdd.RDD[String] = UnionRDD[5] at union at <console>:30 scala> god_or_love.count() res4: Long = 4131 scala> How many verses contains both God and Love? scala> val god_and_love=god.intersection(love) god_and_love: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[11] at intersection at <console>:30 scala> god_and_love.count() res5: Long = 100

7. STATISTICS • How many words are used in Bible? scala> val words = kjv.flatMap(line=>line.split(" ")) words: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[12] at flatMap at <console>:26 scala> words.count() res6: Long = 820867 How many unique words are used in Bible? scala> val distinctword=words.distinct() distinctword: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[15] at distinct at <console>:28 scala> distinctword.count() res7: Long = 60023 • How many times each word is used in Bible? scala> count_by_word.toList.sortBy(_._2).reverse.take(10).foreach (println) (the,62050) (and,38571) (of,34393) (to,13363) (And,12739) (that,12454) (in,12167) (shall,9759) (he,9509) (unto,8931)

8. STATISTICS • How many verses in Genesis scala> val ge=kjv.filter(line=>line.startsWith("Ge")) ge: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[22] at filter at <console>:26 scala> ge.count() res24: Long = 1534

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