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qaws [65]
3 years ago
11

The quicksort pivot value should be the key value of an actual data item; this item is called the pivot. True or False?

Computers and Technology
1 answer:
RoseWind [281]3 years ago
3 0

Answer:

True.

Explanation:

the pivot element in quick sort is the the value of an element present in the array that is present in the array.The pivot is the most important element in the quick sort because the time complexity of the quick sort depends upon the pivot element.

If the pivot selected in the array is always the highest or the lowest element then the time complexity of the quick sort becomes O(N²) other wise the average time complexity of quick sort is O(NlogN).

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Wirte a program which asks the users to input length and calculates the area of a square.( Area = Length^2)​
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2 years ago
a printer's accessory list includes a maintenance kit with a variety of replaceable parts you should install after 100,000 pages
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4 0
2 years ago
Modify the WordCount program so it outputs the wordcount for each distinct word in each file. So the output of this DocWordCount
stepladder [879]

Answer and Explanation:

package PackageDemo;

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.fs.Path;

import org.apache.hadoop.io.IntWritable;

import org.apache.hadoop.io.LongWritable;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapreduce.Job;

import org.apache.hadoop.mapreduce.Mapper;

import org.apache.hadoop.mapreduce.Reducer;

import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import org.apache.hadoop.util.GenericOptionsParser;

public class WordCount {

public static void main(String [] args) throws Exception

{

Configuration c=new Configuration();

String[] files=new GenericOptionsParser(c,args).getRemainingArgs();

Path input=new Path(files[0]);

Path output=new Path(files[1]);

Job j=new Job(c,"wordcount");

j.setJarByClass(WordCount.class);

j.setMapperClass(MapForWordCount.class);

j.setReducerClass(ReduceForWordCount.class);

j.setOutputKeyClass(Text.class);

j.setOutputValueClass(IntWritable.class);

FileInputFormat.addInputPath(j, input);

FileOutputFormat.setOutputPath(j, output);

System.exit(j.waitForCompletion(true)?0:1);

}

public static class MapForWordCount extends Mapper<LongWritable, Text, Text, IntWritable>{

public void map(LongWritable key, Text value, Context con) throws IOException, InterruptedException

{

String line = value.toString();

String[] words=line.split(",");

for(String word: words )

{

Text outputKey = new Text(word.toUpperCase().trim());

IntWritable outputValue = new IntWritable(1);

con.write(outputKey, outputValue);

}

}

}

public static class ReduceForWordCount extends Reducer<Text, IntWritable, Text, IntWritable>

{

public void reduce(Text word, Iterable<IntWritable> values, Context con) throws IOException, InterruptedException

{

int sum = 0;

for(IntWritable value : values)

{

sum += value.get();

}

con.write(word, new IntWritable(sum));

}

}

}

8 0
3 years ago
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