What do you mean when you say that a file has been indexed if it has an index directory that enables random access?
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What do you mean when you say that a file has been indexed if it has an index directory that enables random access?
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- If a file contains an index directory that allows for random access, what does it mean?When you say a file is indexed, do you mean it has an index directory that allows for random access?Python: if possible answers in one line of code def name_sort(staff): ''' Question 2 You are given a list of Georgia Tech staff members- each with a first and last name separated by a space, and need to sort them alphabetically by last name for a directory. However, the person who provided you the list did not proofread the records and accidentally misspelled some of the names. You can identify which ones have typos just by looking at the first letter of the first name. - First, sort the list alphabetically by the last name. - Remove any members whose first name starts with "Q" or "X". - Return the resulting list. Args: staff (list) Returns: list >>> name_sort(['Damon Williams', 'Xngel Cabrera', 'George Burdell', 'Brett Key', 'David Joyner', 'Qon Lowe']) ['George Burdell', 'David Joyner', 'Brett Key', 'Damon Williams'] ''' # print(name_sort(['Damon Williams', 'Xngel Cabrera', 'George Burdell', 'Brett…
- A sorted file has the following details: Number of records = 13,10,720; record length = 200 bytes; size of the primary key field = 13 bytes; size of block pointer = 7 bytes; block size = 2048 bytes. For this file, we need to build a multi-level index on the primary key. The number of blocks in the first level index file isA file that includes an index directory to facilitate random access is Indexed file explain?In Unix You have a record structured file named mydata that has four columns with default delimiter (white space). Sort the file based on its second column and redirect the file to a new file called sortedData.
- Write a program that generates student records in a database file. Your program should be able to generate at least 10 records. The format in the database should be: student name, student id The first student id should be 20180001, second id will be 20180001 and so forth.PYTHON CODE (DATABASE) #flask_SQLAchemy using: db.session.add() and db.session.delete (add): Implement a database code that allows the user to enter the name of a fruit. This fruit should be saved in a list of favorites. If it’s already on the list, nothing should happen. (delete):Now the user will be allowed to enter a name of a fruit. This fruit should be deleted from the list of favorites. If it’s not on the list, nothing should happen. (output): The ouput page should return the statement “You have X saved fruits”, where X is the number of fruit the user has saved, as well as a list of the saved fruits. The number should increment when a new fruit is entered, and decrement when a fruit is deleted.Using any database (one we have created before or a new one), create a program that uses Scanners OR Window Builder to take input from the user and perform: • One 'SELECT' query • One 'INSERT' query • One 'UPDATE' query • One 'DELETE' query *The queries you decide to perform are completely up to you*
- 167. The file organization which allows us to read records that would satisfy the join condition by using one block read is a. Heap file organization b. Sequential file organization c. Clustering file organization d. Hash file organizationA Ring, refers to a record chain, the last of which refers to the first record, in the chain, is called a pointer wxplain?Computer Science Write a python program that reads the data file https://archive.ics.uci.edu/ml/machine-learning-databases/eventdetection/CalIt2.data and finds the total count of outflow and the total count of inflow. The attributes in the file are as follows: 1. Flow ID: 7 is out flow, 9 is in flow 2. Date: MM/DD/YY 3. Time: HH:MM:SS 4. Count: Number of counts reported for the previous half hour Rows: Each half hour time slice is represented by 2 rows: one row for the out flow during that time period (ID=7) and one row for the in flow during that time period (ID=9) Hint: # Importing the dataset dataset = pd.read_csv('CalIt2.data') https://archive.ics.uci.edu/ml/machine-learning-databases/event-detection/CalIt2.data this link should work.