scirs2_core/distributed/
array.rs

1//! Distributed array operations
2//!
3//! This module provides distributed array functionality for scaling operations
4//! across multiple nodes in a cluster environment.
5
6use crate::error::CoreResult;
7
8/// Distributed array structure for parallel processing across nodes
9#[derive(Debug)]
10pub struct DistributedArray<T> {
11    local_chunk: Vec<T>,
12    total_size: usize,
13    chunk_start: usize,
14    chunk_end: usize,
15    nodeid: String,
16}
17
18impl<T> DistributedArray<T>
19where
20    T: Clone + Send + Sync,
21{
22    /// Create a new distributed array chunk
23    pub fn new(local_chunk: Vec<T>, total_size: usize, chunk_start: usize, nodeid: String) -> Self {
24        let chunk_end = chunk_start + local_chunk.len();
25        Self {
26            local_chunk,
27            total_size,
28            chunk_start,
29            chunk_end,
30            nodeid,
31        }
32    }
33
34    /// Get the local chunk of the distributed array
35    pub fn local_data(&self) -> &[T] {
36        &self.local_chunk
37    }
38
39    /// Get the size of the local chunk
40    pub fn local_size(&self) -> usize {
41        self.local_chunk.len()
42    }
43
44    /// Get the total size across all nodes
45    pub fn total_size(&self) -> usize {
46        self.total_size
47    }
48
49    /// Get the global start index of this chunk
50    pub fn chunk_start(&self) -> usize {
51        self.chunk_start
52    }
53
54    /// Get the global end index of this chunk
55    pub fn chunk_end(&self) -> usize {
56        self.chunk_end
57    }
58
59    /// Get the node ID hosting this chunk
60    pub fn nodeid(&self) -> &str {
61        &self.nodeid
62    }
63}
64
65/// Manager for distributed array operations
66#[derive(Debug)]
67pub struct DistributedArrayManager {
68    nodeid: String,
69    clustersize: usize,
70}
71
72impl DistributedArrayManager {
73    /// Create a new distributed array manager
74    pub fn new(nodeid: String, clustersize: usize) -> Self {
75        Self {
76            nodeid,
77            clustersize,
78        }
79    }
80
81    /// Distribute an array across cluster nodes
82    pub fn distribute_array<T>(&self, data: Vec<T>) -> CoreResult<DistributedArray<T>>
83    where
84        T: Clone + Send + Sync,
85    {
86        let total_size = data.len();
87        let _chunk_size = total_size.div_ceil(self.clustersize);
88
89        // For this simple implementation, just create a local chunk
90        // In a real implementation, this would distribute across actual nodes
91        let chunk_start = 0;
92        let local_chunk = data;
93
94        Ok(DistributedArray::new(
95            local_chunk,
96            total_size,
97            chunk_start,
98            self.nodeid.clone(),
99        ))
100    }
101
102    /// Gather results from distributed computation
103    pub fn gather_results<T>(&self, localresult: Vec<T>) -> CoreResult<Vec<T>>
104    where
105        T: Clone + Send + Sync,
106    {
107        // In a real implementation, this would gather from all nodes
108        Ok(localresult)
109    }
110}
111
112#[cfg(test)]
113mod tests {
114    use super::*;
115
116    #[test]
117    fn test_distributed_array_creation() {
118        let data = vec![1, 2, 3, 4, 5];
119        let nodeid = "node1".to_string();
120        let array = DistributedArray::new(data.clone(), 10, 0, nodeid.clone());
121
122        assert_eq!(array.local_data(), &data);
123        assert_eq!(array.local_size(), 5);
124        assert_eq!(array.total_size(), 10);
125        assert_eq!(array.chunk_start(), 0);
126        assert_eq!(array.chunk_end(), 5);
127        assert_eq!(array.nodeid(), "node1");
128    }
129
130    #[test]
131    fn test_distributed_array_manager() {
132        let manager = DistributedArrayManager::new("node1".to_string(), 3);
133        let data = vec![1, 2, 3, 4, 5, 6];
134
135        let distributed = manager.distribute_array(data).unwrap();
136        assert_eq!(distributed.total_size(), 6);
137    }
138}