Database Systems: Design, Implementation, Management, Loose-leaf Version
12th Edition
ISBN: 9781305866799
Author: Coronel, Carlos; Morris, Steven
Publisher: Course Technology
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Chapter 14, Problem 12RQ
Program Plan Intro
Hadoop Distributed File System (HDFS):
- Hadoop Distributed File System (HDFS) is the primary data storage systems usually used by the Hadoop applications.
- It was developed as an infrastructure for the Apache Nutch web search engine project and now it is an Apache Hadoop subproject.
- It includes a NameNode and DataNode architecture to implement a distributed file system that is capable of providing high-performance access to data across Hadoop clusters.
MapReduce:
- MapReduce is the processing layer of Hadoop.
- It is an open source application
programming interface that is designed to process large volumes of data in parallel. - The MapReduce framework had two main functions, Map and Reduce.
- The function of the term Map is to take a job and divide into small units of work and the function of the term Reduce is to collect the output generated from different nodes and then integrating them into a single result set.
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Consider the following database for some store:
Customers (cid, cname, city, discount)Agents (aid, aname, city, percent)Products (pid, pname, city, quantity, price)Orders (ordno, mon, cid, aid, pid, qty, dollars)
The relation Customers records the ID (cid), name (cname), location (city) of each customer and a discount percentage (discount) for this customer.
The relation Agents records the ID (aid), name (aname), location (city) of each agent and a transaction fee (percent) charged by this agent.
The relation Products lists the ID (pid), name (pname), location (city), quantity and price of available products.
And finally, the relation Orders contains a unique order number (ordno), the month (mon), customer (cid), agent (aid), product (pid), quantity (qty) of each order as well as the total value (dollars) of the transaction.
1. Express the following query in SQL
(a) List customers (names) who do not have discounts but purchased at least one product of price greater than $50.
(b) Find…
Consider the following relational schema and briefly answer the questions that follow:
Emp(eid: integer, ename: string, age: integer, salary: real)
Works(eid: integer, did: integer, pct_time: integer)
Dept(did: integer, budget: real, managerid: integer)
a. Define a table constraint on Dept that will ensure that all managers have age > 30.
b. Write SQL statements to delete all information about employees whose salaries exceed that of the manager of one or more departments that they work in. Be sure to ensure that all the relevant integrity constraints are satisfied after your updates.
Consider the following relations:
Student(snum: integer, sname: string, rmajor: string,
level: string, age: integer)
Class(cname: string, meets_at: time, room: string, fid: integer)
Enrolled(snum: integer, cname: string)
Faculty(fid: integer, fname: string, deptid: integer)
The meaning of these relations is straightforward; for example, Enrolled has one record per student-class pair such that the student is enrolled in the class.
2. Express each of the following integrity constraints in SQL unless it is implied by the primary and foreign key constraint; if so, explain how it is implied. If the constraint cannot be expressed in SQL, say so. For each constraint, state what operations (inserts, deletes, and updates on specific relations) must be monitored to enforce the constraint.
(a) Every faculty member must teach at least two courses.
(b) Every student must be enrolled in the course called 'Math101'.
(c) A student cannot add more than two courses at a time…
Chapter 14 Solutions
Database Systems: Design, Implementation, Management, Loose-leaf Version
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