Problem 3 and 4 request you to resolve various problems using Hadoop. To get full credit, please explicitly show all steps of converting data from a raw data to a final output following the template: For SPLITTING: please split to 3 parts (Hint: Text file has three lines). For MAPPING and REDUCING: please explicitly show which data is key, which data is value. RAW DATA SPLITTING MUAW MWCA MAPPING key value key value key value Suppose we have the document BigData.txt below WMU SHUFFLING Result? - W, 3 M,3 U,2 A,2 C,1 REDUCING key value key value key value FINAL RESULTS

Problem 3 and 4 request you to resolve various problems using Hadoop. To get full credit, please explicitly show all steps of converting data from a raw data to a final output following the template: For SPLITTING: please split to 3 parts (Hint: Text file has three lines). For MAPPING and REDUCING: please explicitly show which data is key, which data is value. RAW DATA SPLITTING MUAW MWCA MAPPING key value key value key value Suppose we have the document BigData.txt below WMU SHUFFLING Result? - W, 3 M,3 U,2 A,2 C,1 REDUCING key value key value key value FINAL RESULTS

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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One method of storing Big Data is within key-value pairs. Explain key-value pairs and give two scenarios in which the use of key-value pairs would be applicable?
QUESTION 7 Is the following statement regarding triviality of functional dependencies true or false? α → β is trivial if β ⊆ α True False QUESTION 8 The next best alternate after BCNF is 3NF. We can say that this schema is 3NF but not BCNF. Match the following statements that make this 3NF and not BCNF dept_advisor(s_ID, i_ID, dept_name) § With function dependencies: i_ID → dept_name s_ID, dept_name → i_ID § Two candidate keys = { s_ID , dept_name }, { s_ID , i_ID } - A. B. C. D. i_ID is not a superkey - A. B. C. D. { dept_name} – {i_ID } - A. B. C. D. dept_name is contained in a candidate key - A. B. C. D. s_ID, dept_name A. superkey B. {dept_name } C. dept_advisor is not BCNF D. Since each attribute A in β – α is contained in a candidate key for R, dept_advisors is 3NF…
Computer science From a DBMS class Consider the query al and he2 and d -3 (R) on the relation R(a, b, c, d) and suppose that there is a clustered index on a and non-clustered indices on the other attributes. If B(R) = 1000 | T(R) = 5000, V(R, a) = 20, V(R, b) = 30 , V(R, c) = 50, V(R, d) = 500 , and the main memory consists of 11 pages, then what is the best possible plan for executing the query? Only correct solution
Given the following relation(s) and the functional dependencies, what is the highest normal form the data model complies to? Note: Primary keys are indicated in bold. TaxiRide (jobID, jobDateTime, driverID, driverName, taxiID, clientID, clientName, jobPickUpAddress)jobID -> jobDateTime, driverID, driverName, taxiID, clientID, clientName, jobPickUpAddressjobDateTime, driverID -> jobID, driverName, taxiID, clientID, clientName, jobPickUpAddressjobDateTime, taxiID -> jobID, driverID, driverName, clientID, clientName, jobPickUpAddressjobDateTime, clientID -> jobID, driverID, driverName, taxiID, clientName, jobPickUpAddressdriverID -> driverName, taxiIDclientID -> clientName A)1NF B)2NF C)3NF
Passenger (pid, pbithday, pcity)Station (sid, sname, sxcoord, sycoord)CheckIn (pid, departure_sid, arrive_sid, departure_date, arrive_date)departure_sid reference sid in Stationarrive_sid reference sid in Stationpid references pid in Passenger there are 400 million Passenger, 500 stations, and 20 billion checkIn stored in the schema. For simplicity, assume that every attribute is of size 8 bytes, and the size of each tuple is thus 8*x bytes for a table with x attributes, and that the size of a table is simply the size of a tuple multiplied by the number of tuples (i.e., 100% occupancy and no gaps or space for block metadata). Now consider the following queries: SELECT P.pidFROM Passenger p, CheckIn C, Station SWHERE P.pid = C.pidand C.departure_sid = S.sidand S.sname = "LA"and year(P.pbithday) = 2000and date(C.departure_date) = "2015-12-12" question:1. first join P with C, and then join result with S2. first join S with C, and then join result with PWhich way would be faster for this…
Suppose that you have been tasked with cataloging the information found in books. Either more books need to be added, or the ones now stacked on one side of the shelf need to be rotated. Find the optimal data structure and explain why it works here. Provide a flexible method of stocking the bookcase. What happens, meanwhile, if fresh information must be added to a database but there isn't enough space for it?
Consider given database schema and write triggers for each statement. Student ( regNo, sName, sCity, sCGPA, sAge) Student_BACKUP( regNo, sName, sCity, sCGPA, sAge) Course ( cCode, cName, credit_hours) Enrollment (regNo, cCode, semester,quality_points,Grade) Enrollment_BACKUP(regNo, cCode, semester,quality_points,Grade) 1- Whenever a record is inserted in student table, system must check following constraints in inserted value. a. sAge between 18 and 25 b. sCGPA between 0.0 and 4.0 if any of constraints are violated, system must delete record inserted by user. 2- Write a mechanism which should not allow user to update Grade in Enrollment table. Other columns of Enrollment table can be updated. 3- Write a mechanism which should copy those record to “Enrollment_BACKUP” whose GRADE is ‘F’, whenever a record is inserted in Enrollment Table. 4- Write a mechanism which stores all deleted record to Student_BACKUP table whenever a record is deleted from Student table. 5- Write a…
Consider given database schema and write triggers for each statement. Student ( regNo, sName, sCity, sCGPA, sAge) Student_BACKUP( regNo, sName, sCity, sCGPA, sAge) Course ( cCode, cName, credit_hours)Enrollment (regNo, cCode, semester,quality_points,Grade)Enrollment_BACKUP(regNo, cCode, semester,quality_points,Grade) 1- Whenever a record is inserted in student table, system must check following constraints in inserted value.a. sAge between 18 and 25b. sCGPA between 0.0 and 4.0if any of constraints are violated, system must delete record inserted by user. 2- Write a mechanism which should not allow user to update Grade in Enrollment table.Other columns of Enrollment table can be updated. 3- Write a mechanism which should copy those record to “Enrollment_BACKUP” whose GRADE is ‘F’, whenever a record is inserted in Enrollment Table. 4- Write a mechanism which stores all deleted record to Student_BACKUP table whenever a record is deleted from Student table. 5-…
To answer this question, let's take an example of a university faculty with six professors (3 men and 3 women). Professors are ranked from lowest to highest, with 1 being the lowest and 3 being the highest. The male professors are identified as Rao (1), Lalit (3) and Ahmed (2). The Professor's names with their ranks are Monu (3), Rana (1), and Kitty (2). Below are some examples of situations. For each example, provide an ASN.1 description of the record values and their corresponding data types. Consider the ProfessorData data type, which contains details about each professor. An alphabetical list of professors. A list of professors in descending order. There are two sets of professors, each of which consists of a higher-ranking female professor and a male professor of a lower level.
Consider the following schedule of transactionsW1(A) W2(A) W1(A) W2(A) W1(A)Which of the following properties are true for the above schedule and justify the reason for your answer with explanation?a) Conflict Serializableb) View Serializablec) Recoverable I asked this question before but i think that was incorrect. Please answer these question in detail with full explaination. I need a proper long answer. Thanks .
Suppose we have a relational database with five tables.table key AttributesS(sid, A) SidT(tid, B) TidU(uid, C) UidR(sid, tid, D) sid, tidQ(tid, uid, E) tid, uidHere R implements a many-to-many relationship between the entities implemented with tables S and T, and Q implements a many-to-many relationship between the entities implemented with tables T and U.D. Suppose you replaced SELECT with SELECT DISTINCT in your queries from parts (a) and Could one of these modified queries return more records than the other? If so, which one? Justify your answer. E. Consider again your query from part (a). If pair sid, uid is returned by this query then there must exist at least one “path” that goes from from table S to table T (via relation R) and then from table T to table U (via relation Q). Note that there can be many such paths for a given pair sid, uid. Write an SQL query that returns records of the form tid, total where…
Consider the following schedule of transactionsW1(A) W2(A) W1(A) W2(A) W1(A)Which of the following properties are true for the above schedule and justify the reason for your answer with explanation?a) Conflict Serializableb) View Serializablec) Recoverable Please answer these question in detail with full explaination. I need a proper long answer. Thanks :)