For example, our test file might have operations
insert(3,98) delete(5) search(8)
Your answer file will show the results of each search, i.e. the value corresponding to the key (or if the key is not present then simply ”not present”).
An insert(k,v) should be interpreted as an ”upsert” meaning that if there is already a record with key value k, then that record’s value should be changed to v. When we execute your program (which you should submit in source form), it should show your timings for all oper- ations together. Your code should specify where you got the implementations for Btree and Hash from. Also your program write the total time and the resulting table to standard out after all operations so we can check for correctness of the modifications. Please use Python 3 without any special libraries except for the ones for B-trees and hash structures. Java is also an option, but again no special libraries except for B-tree and hash structure libraries. For deletes, just mark the entry as deleted so you don’t have to do a shift.
Your program should store the data as an array of records. Your hash and B-tree structures, given a key, produce an index into that array. For example, your hash structure could be a Python 3 dictionary that indexes into the array (i.e. gives a key value and an array index).
Employee(ID, Name, Salary, Manager, Department) Course(EmpID, CourseID, Prof, Grade)
Here is data to generate a large enough database so that the following queries require more than one second each on our test computer, but may take less time on yours.
To load data, you can do something like this:
create table Employee(ID int, Name varchar(20), Salary int, Manager int, Department var- char(20)); create table Course(EmpID int, CourseID int, Prof varchar(20), Grade int);
LOAD DATA LOCAL INFILE ’emp.txt’
INTO TABLE Employee FIELDS TERMINATED BY ’|’ LINES TERMINATED BY ’\n’
(ID, Name, Salary, Manager, Department);
LOAD DATA LOCAL INFILE ’course.txt’
INTO TABLE Course FIELDS TERMINATED BY ’|’
LINES TERMINATED BY ’\n’ (EmpID, CourseID, Prof, Grade);
Show the timings and the results.
Now show how to add indexes in such a way that each query requires less time. That is, show the create index statements to use and give new timing results.
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