Why is the pipelined hash join not commonly used in a conventional DBMS? (A) It immediately produces output the moment once it has received enough tuples to do so. B It accommodates bursty or unequal transfer rates from the sources. (C) It accumulates significantly more in-memory state than many alternative algorithms. (D) It requires multiple sort passes before it can produce output.

Why is the pipelined hash join not commonly used in a conventional DBMS? (A) It immediately produces output the moment once it has received enough tuples to do so. B It accommodates bursty or unequal transfer rates from the sources. (C) It accumulates significantly more in-memory state than many alternative algorithms. (D) It requires multiple sort passes before it can produce output.

Programming Logic & Design Comprehensive

9th Edition

ISBN:9781337669405

Author:FARRELL

Publisher:FARRELL

Chapter8: Advanced Data Handling Concepts

Section: Chapter Questions

Problem 20RQ

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Similar questions

Since pointers in a blockchain include a cryptographic hash of the previousblock, why is there the additional need for replication of the blockchain toensure immutability?
Consider a database belonging to an airline that employs the technique known as "snapshot isolation," for instance. In the event that the overall performance of the airline is improved, it may be acceptable to tolerate executions that cannot be serialised.
As an example, think of a database for an airline that uses something called "snapshot isolation." If the overall performance of the airline can be improved, it's possible that non-serializable executions might be acceptable.
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Take, for instance, an airline database using a technique called "snapshot isolation." If the airline's overall performance is enhanced, then non-serializable executions may be tolerated.
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Assume an open addressing hash table implementation, where the size of the array is N = 19, and that double hashing is performed for collision handling. The second hash function is defined as: d(k) = q -k mod q, where k is the key being inserted in the table and the prime number q is = 7. Use simple modular operation (k mod N) for the first hash function. i) Show the content of the table after performing the following operations, in order:put(45), put(25), put(12), put(61), put(38), put(88), remove(12), put(39), remove(61), put(18), put(29), put(29), put(35).i) What is the size of the longest cluster caused by the above insertions? ii) What is the number of occurred collisions as a result of the above operations? iii) What is the current value of the table’s load factor?
is one of the advantages of separate chaining over open addressing. Space used is less O Deletion is easier Searching has better efficiency O Hash function is easier
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Q: Does totally ordered multicasting by means of a sequencer and for the sake of consistency in active replication, violate the end-to-end argument in system design?
The CSM Tech organization has a substantial web presence with several publicly accessible web and application servers. You have DNS servers that handle Internet queries for all your publicly accessible resources. However, after doing some statistical analysis on your public DNS servers, you find that your servers are handling recursive lookups for clients that are not within your organization. Your public DNS servers should handle recursive queries only for your internal clients, but the servers should handle iterative (nonrecursive) queries from external sources. What do you recommend? What are the commands needed to implement the solution?
Compare Linear probing and double hashing And between open addressing and separate chaining.