ResourceManager and NodeManager in Hadoop - Mini Project: Build & Apply

Understanding ResourceManager and NodeManager in Hadoop

📖 Scenario: You are working in a big data environment where Hadoop manages resources and tasks across many computers. Two important parts of Hadoop's system are the ResourceManager and NodeManager. The ResourceManager decides how to share resources, and the NodeManager runs tasks on each computer.

🎯 Goal: You will create simple data structures to represent ResourceManager and NodeManager information, configure resource limits, write code to assign tasks to nodes based on available resources, and finally display the task assignments.

📋 What You'll Learn

Create a dictionary to represent nodes with their available memory and CPU cores

Create a configuration variable for minimum memory required per task

Write logic to assign tasks to nodes only if they have enough memory

Print the final task assignments per node

💡 Why This Matters

🌍 Real World

In Hadoop clusters, ResourceManager and NodeManager work together to allocate resources and run tasks efficiently across many computers.

💼 Career

Understanding these components helps data engineers and data scientists optimize big data processing and resource usage.

1

Create node resource data

Create a dictionary called nodes with these exact entries: 'Node1': {'memory': 4096, 'cores': 4}, 'Node2': {'memory': 2048, 'cores': 2}, and 'Node3': {'memory': 8192, 'cores': 8}.

Hadoop

# Create the nodes dictionary with memory and cores
# Your code here

Need a hint?

Use a dictionary with node names as keys and another dictionary for memory and cores as values.

2

Set minimum memory per task

Create a variable called min_memory_per_task and set it to 2048 to represent the minimum memory required for a task.

Hadoop

nodes = {
    'Node1': {'memory': 4096, 'cores': 4},
    'Node2': {'memory': 2048, 'cores': 2},
    'Node3': {'memory': 8192, 'cores': 8}
}
# Set the minimum memory required per task
# Your code here

Need a hint?

Just assign the number 2048 to the variable min_memory_per_task.

3

Assign tasks to nodes based on memory

Create a dictionary called task_assignments. Use a for loop with variables node and resources to iterate over nodes.items(). Inside the loop, assign 1 task to the node if its memory is greater than or equal to min_memory_per_task, otherwise assign 0 tasks.

Hadoop

nodes = {
    'Node1': {'memory': 4096, 'cores': 4},
    'Node2': {'memory': 2048, 'cores': 2},
    'Node3': {'memory': 8192, 'cores': 8}
}
min_memory_per_task = 2048
# Assign tasks to nodes based on memory
# Your code here

Need a hint?

Use a for loop to check each node's memory and assign tasks accordingly.

4

Display task assignments

Write a print statement to display the task_assignments dictionary.

Hadoop

nodes = {
    'Node1': {'memory': 4096, 'cores': 4},
    'Node2': {'memory': 2048, 'cores': 2},
    'Node3': {'memory': 8192, 'cores': 8}
}
min_memory_per_task = 2048
task_assignments = {}
for node, resources in nodes.items():
    if resources['memory'] >= min_memory_per_task:
        task_assignments[node] = 1
    else:
        task_assignments[node] = 0
# Print the task assignments
# Your code here

Need a hint?

Use print(task_assignments) to show the dictionary.