It may be advantageous to keep the join as a materialized view if a parallel data-store is used to hold two relationsr and s and we need to join r and s. What are the advantages and disadvantages in terms of total throughput, space usage, and user query response time?

It may be advantageous to keep the join as a materialized view if a parallel data-store is used to hold two relationsr and s and we need to join r and s. What are the advantages and disadvantages in terms of total throughput, space usage, and user query response time?

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

See similar textbooks

Related questions

Q: How exactly does one go about creating a clustered index, and what are the key differences between a…

A: In computer science, indexes play a crucial role in improving the efficiency and performance of…

Q: It may be advantageous to keep the join as a materialized view if a parallel data-store is used to…

A: Performing a join: Consider the case when a cloud data storage service is utilized to store the two…

Q: Explain why the nested-loops join method (see Section 15.5.1) will fail miserably on a…

A: The nested-loops join method works by iterating through each row of one table and comparing it to…

Q: Let's pretend you have access to a database including the x, y locations and names of local…

A: The above question is solved in step 2 and it's explanation.

Q: What exactly is Sqoop-merge and how does it function?

A: question: What exactly is Sqoop-merge how does it function? Sqoop merge is used to combine two…

Q: How does one make a clustered index? What are the main differences between a clustered index and a…

A: In the world of databases, indexes play a crucial role in optimizing the performance of data…

Q: How do query performance considerations differ between querying CLOBs and querying VARCHAR data…

A: When it comes to storing text in databases two common data types are Character Large Object (CLOB)…

Q: Is it possible to utilize two clustering indices for different search keys on the same relation in…

A: We need to discuss if it is possible to have two clustering indices for different search keys on the…

Q: One of the benefits from Graph Database is it is significantly faster than traditional Relational…

Q: There is empirical evidence to support the contention that it is not possible to implement…

A: Start: Relational databases are a kind of database that are able to hold connected data pieces and…

Q: One of the benefits from Graph Database is it is significantly faster than traditional Relational…

Q: If a parallel data-store is used to store two relations r and s and we need to join r and s, it may…

A: Performing a join: Consider a cloud data storage is used to store the given two relations.…

Q: Create a new iteration of the hybrid merge-join method, in which none of the relationships are…

A: The hybrid merge-join method is an progressive procedure for execution database joins. Old-style…

Q: How does one go about making a clustered index as opposed to a sparse one, and what properties set…

A: Clustered indexes and sparse indexes are two index categories that database management systems can…

Q: Describe the mechanism behind hash-based indexing and its advantages.

A: Hash-based indexing is a method used in databases to quickly locate data within a data structure,…

Q: In terms of Big O notation, how long does it take for a database to execute a given query? I can…

A: The solution is given below for all the given questions:

Q: What distinguishes a clustered index from a sparse index, and how do you make one?

A: What is clustered index: A clustered index determines the physical order of data rows in a table.…

Q: State some differences between non-clustered and clustured indexes.

A: An index is a key built from one or more columns in the data base that speeds up fetching row from…

Q: How does query optimization differ when querying against nested JSON objects as compared to flat…

A: Query optimization strategies can differ significantly when querying against nested JSON objects…

Q: Give an example of a query for which each of the three partitioning approaches would produce the…

A: Answer: As an example, let's look at how each of the three partitioning strategies, round-robin,…

Q: What is meant by lossless-join decomposition?

A: A lossless join decomposition in database design is the splitting of a relation (displaystyle R)…

Q: Write an example, that our backend database is based on MySQL, and the GraphQL query

A: MYSQL query is any instruction or command which is used to retrieve data from the relation. It can…

Q: Make a version of the hybrid merge-join method that works when both relations are not physically…

A: The hybrid merge-join method can be modified to work with relations that are not physically sorted…

Q: What distinguishes a clustered index from a sparse index, and how does one go about making one?

A: A clustered index and a sparse index are two different types of indexing methods used in databases.…

Q: Keeping the join as a materialized view may be handy if a parallel data store is utilized to hold…

A: A join is carried out as follows: Think about a cloud data storage system that is utilized to store…

Q: What is the difference between a clustered index and a sparse index? What are the benefits of using…

A: A clustered index and a sparse index are two different types of indexes used in database management…

Q: Provide an explanation for the catastrophic failure of the nested-loops join strategy (described in…

A: Each relational property is written to its own file in column-oriented storage. All of the values…

Q: It may be advantageous to keep the join as a materialized view if a parallel data-store is used to…

A: materialized a view is a database object that contains the results of a query. For example, it may…

Q: What sets a clustered index apart from a sparse one, and how does one go about making one?

A: Indexes in database management systems are essential for enhancing query performance by enabling…

Q: What distinguishes a clustered index from a sparse index, and how do you make one?

A: Database management systems, two types of indexes often utilized are clustered indexes and sparse…

Question

It may be advantageous to keep the join as a materialized view if a parallel data-store is used to
hold two relationsr and s and we need to join r and s. What are the advantages and
disadvantages in terms of total throughput, space usage, and user query response time?

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.

Similar questions

If both relationships are not physically sorted but have a sorted secondary index on the characteristics being merged, produce a hybrid merge-join variant?
Salesforce Problem: Design a SOQL query to fetch all the profile who have access to read the object records.
How does one go about making a clustered index, and what are the primary distinctions between a clustered index and a sparse index?
How is a clustered index made, and what are the main differences between a clustered index and a sparse index?
Consider the following scenario: there is only one vacant slot in a class and two students want to enroll. Which aspect of a database prevents them from sharing a single seat?
Give an example of a query for which each of the three partitioning approaches would produce the fastest response, notably round-robin, hash partitioning, and range partitioning.
Describe how HASH JOIN is currently implemented in version 12 of Postgres (or any compatible version)
Assume a relation 'R' having 200 records. These records are stored in blocks having block factor as 20. Consider another relation 'S' having 120 records and all these records are stored in 30 blocks. These two tables have to be joined using nested loop join algorithm. At any instance main memory can hold exactly one block of R and one block of S. What are the total number of block access required to join R and S ?
Convert this ER model to a list of tablesProvide the queries that implement the database
How many queries remain before you can determine whether database as a service is the optimal solution for your library's needs?
A link like the second course may be built from a collection of many-to-one connections. Do the main and foreign key restrictions impose the many-to-one cardinality limitation on the relation? What makes you believe that is?
Keeping the join as a materialized view may be handy if a parallel data store is utilized to hold two relations r and s and we need to connect them. In terms of total throughput, space use, and response time to user requests, what are the advantages and costs of this approach?