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2. Next, the script creates the smallest number of indexes such that processing of each one of the queries listed above benefits from the existence of at least one index.

2. Next, the script creates the smallest number of indexes such that processing of each one of the queries listed above benefits from the existence of at least one index.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Task 1 Indexing Implement SQL script solution1.sql that performs the actions listed below. 1. First, the script finds query processing plans for each one of the queries listed below. Use EXPLAIN PLAN statement and a script showplan.sql to display the query processing plans Find all distinct pair of values of receipt-date (L_RECEIPTDATE) and discount (L_DISCOUNT) in the relational table LINEITEM. а. b. Find the total number of rows in the relational table ORDERS where the total price (O_TOTALPRICE) is greater than the average total price (O_TOTALPRICE). Find the total number of ORDERS submitted by each customer, list the values of an attribute O_CUSTKEY together with the total number of orders submitted. Do not ignore customers who submitted no orders. Find the total number of discount (L_DISCOUNT) in the relational table C. d. LINEITEM. е. Find the total number of distinct values in a column O_ORDERPRIORITY in a relational table ORDERS. 2. Next, the script creates the smallest number of indexes such that processing of each one of the queries listed above benefits from the existence of at least one index.
Transcribed Image Text:Task 1 Indexing Implement SQL script solution1.sql that performs the actions listed below. 1. First, the script finds query processing plans for each one of the queries listed below. Use EXPLAIN PLAN statement and a script showplan.sql to display the query processing plans Find all distinct pair of values of receipt-date (L_RECEIPTDATE) and discount (L_DISCOUNT) in the relational table LINEITEM. а. b. Find the total number of rows in the relational table ORDERS where the total price (O_TOTALPRICE) is greater than the average total price (O_TOTALPRICE). Find the total number of ORDERS submitted by each customer, list the values of an attribute O_CUSTKEY together with the total number of orders submitted. Do not ignore customers who submitted no orders. Find the total number of discount (L_DISCOUNT) in the relational table C. d. LINEITEM. е. Find the total number of distinct values in a column O_ORDERPRIORITY in a relational table ORDERS. 2. Next, the script creates the smallest number of indexes such that processing of each one of the queries listed above benefits from the existence of at least one index.
3. Next, script lists the query processing plans for each one of the queries listed in a step. Use EXPLAIN PLAN statement and a script showplan.sql to display the query processing plans. 4. Finally, the script drops all indexes created in a step (2). Note, the report from processing of the script must have NO syntax errors!
Transcribed Image Text:3. Next, script lists the query processing plans for each one of the queries listed in a step. Use EXPLAIN PLAN statement and a script showplan.sql to display the query processing plans. 4. Finally, the script drops all indexes created in a step (2). Note, the report from processing of the script must have NO syntax errors!
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