use std::sync::{Arc, Mutex};
use crate::benchmarks::{BenchmarkConfig, BenchmarkFramework, BenchmarkResult, MetricType};
use std::time::Duration;
use tokio::task;
pub struct MemoryBenchmark;
impl MemoryBenchmark {
pub fn new() -> Self {
Self
}
pub fn allocation_performance_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 1000,
warmup_iterations: 10,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark_with_memory(
"allocation_performance",
MetricType::MemoryUsage,
|| {
let mut vec = Vec::new();
for i in 0..1000 {
vec.push(i);
}
vec
},
)
}
pub fn large_object_allocation_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 100,
warmup_iterations: 5,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark_with_memory(
"large_object_allocation",
MetricType::MemoryUsage,
|| {
let mut map = std::collections::HashMap::new();
for i in 0..10000 {
map.insert(format!("key_{}", i), format!("value_{}", i));
}
map
},
)
}
pub fn memory_fragmentation_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 100,
warmup_iterations: 5,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark_with_memory("memory_fragmentation", MetricType::MemoryUsage, || {
let mut allocations = Vec::new();
for i in 0..1000 {
let size: _ = (i % 10 + 1) * 1024;
allocations.push(vec![0u8; size]);
}
allocations.drain(0..500);
allocations
})
}
pub fn memory_pool_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 1000,
warmup_iterations: 10,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark_with_memory("memory_pool", MetricType::MemoryUsage, || {
let pool: _ = Arc::new(Mutex::new(Vec::<u8>::new()));
for _ in 0..100 {
let guard: _ = pool.lock().unwrap();
drop(std::hint::black_box(guard));
}
})
}
pub fn string_memory_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 1000,
warmup_iterations: 10,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark_with_memory("string_memory", MetricType::MemoryUsage, || {
let mut strings = Vec::new();
for i in 0..1000 {
strings.push(format!("This is a long string with number {}", i));
}
strings
})
}
pub fn recursive_data_structure_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 100,
warmup_iterations: 5,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark_with_memory(
"recursive_data_structure",
MetricType::MemoryUsage,
|| {
let mut tree = Vec::new();
for i in 0..1000 {
tree.push(Node {
value: i,
children: vec![
Node {
value: i * 2,
children: vec![],
},
Node {
value: i * 2 + 1,
children: vec![],
},
],
});
}
let checksum: i32 = tree.iter().map(Node::total_value).sum();
let _ = std::hint::black_box(checksum);
tree
},
)
}
pub fn async_memory_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 100,
warmup_iterations: 5,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark_with_memory("async_memory", MetricType::MemoryUsage, || {
task::block_in_place(|| {
let mut data = Vec::new();
for i in 0..1000 {
data.push(i * 2);
}
data
})
})
}
pub fn memory_leak_detection_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 10,
warmup_iterations: 2,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark_with_memory(
"memory_leak_detection",
MetricType::MemoryUsage,
|| {
let before: _ = get_current_memory();
{
let _leaked: _ = Box::into_raw(Box::new(vec![0u8; 1000000]));
}
let after: _ = get_current_memory();
(after - before) as i64
},
)
}
pub fn run_all_benchmarks(&self) -> Vec<BenchmarkResult> {
vec![
self.allocation_performance_benchmark(),
self.large_object_allocation_benchmark(),
self.memory_fragmentation_benchmark(),
self.memory_pool_benchmark(),
self.string_memory_benchmark(),
self.recursive_data_structure_benchmark(),
self.async_memory_benchmark(),
self.memory_leak_detection_benchmark(),
]
}
pub fn generate_report(&self, results: &[BenchmarkResult]) -> String {
let mut report = String::new();
report.push_str("=== Memory Usage Performance Report ===\n\n");
for result in results {
report.push_str(&result.format_summary());
report.push_str("\n\n");
}
let total_memory: _ = results
.iter()
.filter_map(|r| r.memory_stats.as_ref())
.map(|stats| stats.current_rss)
.sum::<usize>();
let avg_memory: _ = if !results.is_empty() {
total_memory / results.len()
} else {
0
};
report.push_str(&format!("Total Memory Usage: {} bytes\n", total_memory));
report.push_str(&format!("Average Memory Usage: {} bytes\n", avg_memory));
report
}
}
impl Default for MemoryBenchmark {
fn default() -> Self {
Self::new()
}
}
#[derive(Debug, Clone)]
struct Node {
value: i32,
children: Vec<Node>,
}
impl Node {
fn total_value(&self) -> i32 {
self.value + self.children.iter().map(Self::total_value).sum::<i32>()
}
}
fn get_current_memory() -> usize {
0
}
pub struct MemoryOptimizationSuggestions {
pub suggestions: Vec<String>,
}
impl MemoryOptimizationSuggestions {
pub fn generate(results: &[BenchmarkResult]) -> Self {
let mut suggestions = Vec::new();
for result in results {
if let Some(stats) = &result.memory_stats {
match result.name.as_str() {
"allocation_performance" => {
if stats.heap_allocated > 1000000 {
suggestions.push(
"High heap allocation detected. Consider using object pooling."
.to_string(),
);
}
}
"memory_fragmentation" => {
suggestions.push(
"Memory fragmentation detected. Consider implementing memory defragmentation.".to_string()
);
}
"memory_leak_detection" => {
suggestions.push(
"Memory leak detected. Review memory management and ensure proper cleanup.".to_string()
);
}
_ => {}
}
}
}
let avg_memory: usize = results
.iter()
.filter_map(|r| r.memory_stats.as_ref())
.map(|stats| stats.current_rss)
.sum::<usize>()
/ results.len().max(1);
if avg_memory > 10000000 {
suggestions.push(
"Overall memory usage is high. Consider implementing more aggressive memory optimization strategies.".to_string()
);
}
Self { suggestions }
}
pub fn format(&self) -> String {
if self.suggestions.is_empty() {
"No optimization suggestions. Memory usage is within acceptable limits.".to_string()
} else {
format!(
"=== Memory Optimization Suggestions ===\n\n{}",
self.suggestions
.iter()
.enumerate()
.map(|(i, s)| format!("{}. {}", i + 1, s))
.collect::<Vec<_>>()
.join("\n")
)
}
}
}