# Map-Reduce Partition Planner AI Agent Connect

> Deterministic calculator for partitioning and scheduling map-reduce workloads.

## Overview
- **Category:** data-engineering
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_x46GYvNVwmQnxgSmGYqCsESM9K8svqI6CYw0KF6I/ai-agent-connect
- **Tags:** map-reduce, partitioning, data-processing, scheduling, distributed-systems

## Description

This MCP server provides precise mathematical modeling for distributed computing workloads. It allows AI agents to calculate optimal data partitioning, estimate network shuffle volumes, and project total execution times for map-reduce pipelines. Use `plan_workload_partitioning` to determine how to distribute records across agents, `calculate_shuffle_volume` to estimate data transfer requirements, and `estimate_execution_time` to predict the duration of the entire processing pipeline.

## Tools

### calculate_shuffle_volume


### estimate_execution_time


### plan_workload_partitioning


## Prompt Examples

**Prompt:** 
```
I have 1,000,000 records and 10 map agents. How many records will each map agent process?
```

**Response:** 
```
Each map agent will process 100,000 records.
```

**Prompt:** 
```
Calculate the shuffle volume for 500,000 records with an average size of 1024 bytes.
```

**Response:** 
```
The total shuffle volume is 512,000,000 bytes, which is approximately 488.28 MB.
```

**Prompt:** 
```
If a map agent has 5,000 records and processing takes 0.01 seconds per record, how long is the map phase?
```

**Response:** 
```
The map phase will take 50 seconds.
```

## Frequently Asked Questions

**How does this tool handle data skew?**
The `plan_workload_partitioning` tool calculates a skew ratio. If the ratio exceeds 3, it flags the reducer as 'hot', indicating that you should consider salting keys to balance the load.

**Can I estimate network costs?**
Yes, by using `calculate_shuffle_volume`, you can determine the total bytes and megabytes that will be transferred during the shuffle phase.

**What is the purpose of the execution time estimation?**
The `estimate_execution_time` tool projects the total duration of the pipeline by summing the map phase and reduce phase durations based on your specific workloads.