Question 8: Merge Pass Iterations
Formula
The number of merge passes (iterations) required in a multiway merge sort with limited memory:
Variables
- = Number of pages in memory
- = Number of runs you can merge in one pass (1 page reserved for output)
- = Initial number of runs (after first pass of reading and sorting blocks)
Python Implementation
import math
def calculate_merge_passes(memory_pages, initial_runs):
"""
Calculate the number of merge passes needed for multiway merge sort
Args:
memory_pages (int): Number of pages available in memory (M)
initial_runs (int): Number of initial sorted runs (R)
Returns:
float: Number of merge passes required
"""
M = memory_pages
R = initial_runs
# Number of runs that can be merged in one pass
merge_capacity = M - 1
# Calculate merge passes using logarithm
merge_passes = math.log(R) / math.log(merge_capacity)
return merge_passes
# Example calculation
M = 11 # Memory pages
total_pages = 11000
R = total_pages // M # Initial runs: 576/9 = 64
print(f"Memory pages (M): {M}")
print(f"Initial runs (R): {R}")
print(f"Merge capacity (M-1): {M-1}")
print(f"Merge passes needed: {calculate_merge_passes(M, R)}")Example Calculation
With memory pages and initial runs:
Question 9: Total I/O Operations
Formula
Total I/O operations for external merge sort:
Variables
- = Total number of pages in the file
- = Number of buffer pages available in memory
Python Implementation
import math
def calculate_total_ios(total_pages, buffer_pages):
"""
Calculate total I/O operations for external merge sort
Args:
total_pages (int): Total number of pages in file (N)
buffer_pages (int): Number of buffer pages in memory (B)
Returns:
int: Total I/O operations required
"""
N = total_pages
B = buffer_pages
# Calculate number of initial runs
initial_runs = math.ceil(N / B)
# Calculate number of merge passes
if initial_runs <= 1:
merge_passes = 0
else:
merge_passes = math.ceil(math.log(initial_runs) / math.log(B - 1))
# Total I/Os formula
total_ios = 2 * N * (1 + merge_passes)
return total_ios
# Example usage
N = 11000 # Total pages
B = 11 # Buffer pages
total_ios = calculate_total_ios(N, B)
print(f"Total pages (N): {N}")
print(f"Buffer pages (B): {B}")
print(f"Total I/O operations: {total_ios}")
# Breakdown of calculation
initial_runs = math.ceil(N / B)
merge_passes = math.ceil(math.log(initial_runs) / math.log(B - 1)) if initial_runs > 1 else 0
print(f"Initial runs: {initial_runs}")
print(f"Merge passes: {merge_passes}")Question 10: Number of Runs Constraint
Formula
For the sorting phase to work properly:
Constraint
This ensures that all runs can be merged in the available memory.
Python Implementation
import math
def validate_run_constraint(total_pages, memory_pages):
"""
Check if the number of runs satisfies the memory constraint
Args:
total_pages (int): Total pages to sort
memory_pages (int): Available memory pages (M)
Returns:
dict: Validation results and calculations
"""
M = memory_pages
# Calculate number of runs
num_runs = math.ceil(total_pages / M)
# Maximum runs that can be handled
max_runs = M - 1
# Check constraint
constraint_satisfied = num_runs <= max_runs
return {
'total_pages': total_pages,
'memory_pages': M,
'number_of_runs': num_runs,
'max_runs_allowed': max_runs,
'constraint_satisfied': constraint_satisfied,
'formula': f"ceil({total_pages}/{M}) = {num_runs} <= {max_runs}"
}
# Example validation
result = validate_run_constraint(576, 9)
print(f"Total pages: {result['total_pages']}")
print(f"Memory pages: {result['memory_pages']}")
print(f"Number of runs: {result['number_of_runs']}")
print(f"Max runs allowed: {result['max_runs_allowed']}")
print(f"Constraint satisfied: {result['constraint_satisfied']}")
print(f"Calculation: {result['formula']}")Quick Reference
| Parameter | Symbol | Description |
|---|---|---|
| Memory Pages | Total pages available in memory | |
| Total Pages | Total pages in the file to sort | |
| Buffer Pages | Buffer pages (often same as ) | |
| Initial Runs | Number of sorted runs after first pass | |
| Merge Capacity | Runs that can be merged simultaneously |