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Illusion [34]
3 years ago
7

The requirements for TAL Distributors have changed. A number and a name now identify each storehouse. Units of each item may be

stored in multiple storehouses, and it is important to know precisely how many items are stored in each storehouse. In addition, TAL Distributors now wants to manage information about the suppliers from which it purchases items.
For each item, TAL Distributors needs to know the number and name of each supplier as well as the expected lead time for delivering each item. (Lead time is the amount of time a supplier is expected to take to deliver the item after TAL Distributors has ordered it.) Each item can have many suppliers, and each supplier can supply many items.
Using this information, convert the following unnormalized relation to fourth normal form:
Item (ItemNum, Description, Category, Price, (StorehouseNum, StorehouseName, OnHand), (SupplierNum, SupplierName, LeadTime))

Computers and Technology
1 answer:
MrRissso [65]3 years ago
6 0

Answer:

See attachment

Explanation:

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What is the promotion and advertising stage of a product or service called?
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Marketing

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3 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));

}

}

}

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Explanation:

Have a nice day! :)

3 0
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iogann1982 [59]

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3 years ago
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