What is the difference between Range Partitioning and Hash Partitioning?

What is the difference between Range Partitioning and Hash Partitioning?
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1 Answer

Answer :

Range Partitioning maps data to partitions based on a range of column values (e.g. a date column) Hash Partitioning maps data to partitions based on a hashing algorithm, evenly distributing data between the  partitions.
This is typically used where ranges aren't appropriate, i.e. customer number, product ID
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Venison Hash?

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Which of the following represents the step of scientific methodI- Develop hypothesis based on evidenceII- Calculate hash value of evidenceIII- Test the hypothesis to look for additional evidence IV-make an imaging of the original evidence A. All above B. I and III C. II and IV D. II, III and IV

Description : Which of the following represents the step of scientific methodI- Develop hypothesis based on evidenceII- Calculate hash value of evidenceIII- Test the hypothesis to look for additional evidence IV-make an imaging of the original evidence A. All above B. I and III C. II and IV D. II, III and IV

Last Answer : B. I and III

Which of the following represents the step of scientific method? I- Develop hypothesis based on evidence II- Calculate hash value of evidence III- Test the hypothesis to look for additional evidence IV-make an imaging of the original evidence a. I and IV b. I and II c. II, III and IV d. All of above

Description : Which of the following represents the step of scientific method? I- Develop hypothesis based on evidence II- Calculate hash value of evidence III- Test the hypothesis to look for additional evidence IV-make an imaging of the ... a. I and IV b. I and II c. II, III and IV d. All of above

Last Answer : b. I and II

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Last Answer : c. public keys of subscribers  

Given an open address hash table with load factor a < 1, the expected number of probes in a successful search is (A) Atmost 1/α ln (1-α/α) (B) Atmost 1/α ln (1/1-α) (C) Atleast 1/α ln (1/1-α) (D) Atleast 1/α ln (α/1-α)

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Last Answer : (B) Atmost 1/α ln (1/1-α)

If h is chosen from a universal collection of hash functions and is used to hash n keys into a table of size m, where n ≤ m, the expected number of collisions involving a particular key K is (A) less than 1 (B) less than lg n (C) greater than 1 (D) greater than lg n

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Last Answer : (A) less than 1

Consider a hash table of size m=100 and the hash function h(k) = floor(m(kA mod 1)) for A = (√5 − 1)/2 = 0.618033. Compute the location to which the key k = 123456 is placed in hash table. (A) 77 (B) 82 (C) 88 (D) 89

Description : Consider a hash table of size m=100 and the hash function h(k) = floor(m(kA mod 1)) for A = (√5 − 1)/2 = 0.618033. Compute the location to which the key k = 123456 is placed in hash table. (A) 77 (B) 82 (C) 88 (D) 89

Last Answer : (C) 88

The hash function used in double hashing is of the form: (A) h(k, i)=(h1(k)+h2(k)+i)mod m (B) h(k, i)=(h1(k)+h2(k)-i)mod m (C) h(k, i)=(h1(k)+ih2(k))mod m (D) h(k, i)=(h1(k)-ih2(k))mod m

Description : The hash function used in double hashing is of the form: (A) h(k, i)=(h1(k)+h2(k)+i)mod m (B) h(k, i)=(h1(k)+h2(k)-i)mod m (C) h(k, i)=(h1(k)+ih2(k))mod m (D) h(k, i)=(h1(k)-ih2(k))mod m

Last Answer : Answer: C