Submit You do not need to export or convert the database - simply upload the .sqlite file that your program creates. See the example code for the use of the connect() statement. Counting Organizations This application will read the mailbox data (mbox.txt) and count the number of email messages per organization (i.e. domain name of the email address) using a database with th following schema to maintain the counts. CREATE TABLE Counts (org TEXT, count INTEGER) When you have run the program on mbox.txt upload the resulting database file above for grading. If you run the program multiple times in testing or with dfferent files, make sure to empty out the data before each run. You can use this code as a starting point for your application: http://www.py4e.com/code3/emaildb.py Z. The data file for this application is the same as in previous assignments: http://www.py4e.com/code3/mbox.txt . Because the sample code is using an UPDATE statement and committing the results to the database as each record is read in the loop, it might take as long as a few minutes to process all the data. The commit insists on completely writing all the data to disk every time it is called. The program can be speeded up greatly by moving the commit operation outside of the loop. In any database program, there is a balance between the number of operations you execute between commits and the importance of not losing the results of operations that have not yet been committed.
Submit You do not need to export or convert the database - simply upload the .sqlite file that your program creates. See the example code for the use of the connect() statement. Counting Organizations This application will read the mailbox data (mbox.txt) and count the number of email messages per organization (i.e. domain name of the email address) using a database with th following schema to maintain the counts. CREATE TABLE Counts (org TEXT, count INTEGER) When you have run the program on mbox.txt upload the resulting database file above for grading. If you run the program multiple times in testing or with dfferent files, make sure to empty out the data before each run. You can use this code as a starting point for your application: http://www.py4e.com/code3/emaildb.py Z. The data file for this application is the same as in previous assignments: http://www.py4e.com/code3/mbox.txt . Because the sample code is using an UPDATE statement and committing the results to the database as each record is read in the loop, it might take as long as a few minutes to process all the data. The commit insists on completely writing all the data to disk every time it is called. The program can be speeded up greatly by moving the commit operation outside of the loop. In any database program, there is a balance between the number of operations you execute between commits and the importance of not losing the results of operations that have not yet been committed.
Programming with Microsoft Visual Basic 2017
8th Edition
ISBN:9781337102124
Author:Diane Zak
Publisher:Diane Zak
Chapter11: Sql Server Databases
Section: Chapter Questions
Problem 6E
Related questions
Concept explainers
SQL
SQL stands for Structured Query Language, is a form of communication that uses queries structured in a specific format to store, manage & retrieve data from a relational database.
Queries
A query is a type of computer programming language that is used to retrieve data from a database. Databases are useful in a variety of ways. They enable the retrieval of records or parts of records, as well as the performance of various calculations prior to displaying the results. A search query is one type of query that many people perform several times per day. A search query is executed every time you use a search engine to find something. When you press the Enter key, the keywords are sent to the search engine, where they are processed by an algorithm that retrieves related results from the search index. Your query's results are displayed on a search engine results page, or SER.
Question
Transcribed Image Text:Hint: The top organizational count is 536.
Submit
You do not need to export or convert the database - simply upload the .sqlite file that your program creates. See the example code for the use of the connect() statement.
Counting Organizations
This application will read the mailbox data (mbox.txt) and count the number of email messages per organization (i.e. domain name of the email address) using a database with the
following schema to maintain the counts.
CREATE TABLE Counts (org TEXT, count INTEGER)
When you have run the program on mbox.txt upload the resulting database file above for grading.
If you run the program multiple times in testing or with dfferent files, make sure to empty out the data before each run.
You can use this code as a starting point for your application: http://www.py4e.com/code3/emaildb.pyZ.
The data file for this application is the same as in previous assignments: http://www.py4e.com/code3/mbox.txt Z.
Because the sample code is using an UPDATE statement and committing the results to the database as each record is read in the loop, it might take as long as a few minutes to
process all the data. The commit insists on completely writing all the data to disk every time it is called.
The program can be speeded up greatly by moving the commit operation outside of the loop. In any database program, there is a balance between the number of operations you
execute between commits and the importance of not losing the results of operations that have not yet been committed.
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