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spark:spark-introduction [2022/12/14 12:34] straka [Word Count Example] |
spark:spark-introduction [2022/12/14 13:21] straka |
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We start by simple word count example. We load the RDD from text file, every line of the input file becoming an element of RDD. We then split every line into words, count every word occurrence and sort the words by the occurrences. Copy the following to the opened Python shell: | We start by simple word count example. We load the RDD from text file, every line of the input file becoming an element of RDD. We then split every line into words, count every word occurrence and sort the words by the occurrences. Copy the following to the opened Python shell: | ||
<file python> | <file python> | ||
- | wiki = sc.textFile("/ | + | wiki = sc.textFile("/ |
words = wiki.flatMap(lambda line: line.split()) | words = wiki.flatMap(lambda line: line.split()) | ||
counts = words.map(lambda word: (word, 1)).reduceByKey(lambda c1, c2: c1+c2) | counts = words.map(lambda word: (word, 1)).reduceByKey(lambda c1, c2: c1+c2) | ||
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# Alternatively, | # Alternatively, | ||
- | (sc.textFile("/ | + | (sc.textFile("/ |
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The output of ' | The output of ' | ||
- | Note that 'map' and ' | + | Note that '' |
The Scala versions is quite similar: | The Scala versions is quite similar: | ||
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val wiki = sc.textFile("/ | val wiki = sc.textFile("/ | ||
val words = wiki.flatMap(line => line.split(" | val words = wiki.flatMap(line => line.split(" | ||
- | val counts = words.map(word => (word, | + | val counts = words.map(word => (word, 1)).reduceByKey((c1, |
val sorted = counts.sortBy({case (word, count) => count}, ascending=false) | val sorted = counts.sortBy({case (word, count) => count}, ascending=false) | ||
sorted.saveAsTextFile(" | sorted.saveAsTextFile(" | ||
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===== K-Means Example ===== | ===== K-Means Example ===== | ||
- | An example implementing [[http:// | + | An example implementing [[http:// |
<file python> | <file python> | ||
import numpy as np | import numpy as np | ||
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data = lines.map(lambda line: np.array(map(float, | data = lines.map(lambda line: np.array(map(float, | ||
- | K = 50 | + | K = 100 |
epsilon = 1e-3 | epsilon = 1e-3 | ||
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val data = lines.map(line => Vector(line.split(" | val data = lines.map(line => Vector(line.split(" | ||
- | val K = 50 | + | val K = 100 |
val epsilon = 1e-3 | val epsilon = 1e-3 | ||