Advanced

# Advanced Performance

Advanced performance optimization techniques for high-throughput applications.

## Zero-Copy Row Deserialization

Minimize allocations by borrowing string data directly from database rows instead of copying.

### RowRef Trait

The `RowRef` trait provides zero-copy access to row data.

### FromRowRef Trait

Deserialize structs that borrow data from the row.

#### Benefits

- • Zero allocations for string fields
- • Reduced memory pressure
- • Faster deserialization
- • Better cache locality

#### Trade-offs

- • Borrowed data tied to row lifetime
- • May need `to_owned()` for storage
- • Complex lifetime annotations

## Batch & Pipeline Execution

Reduce database round-trips by combining multiple operations.

### Batch Builder

Combine multiple INSERT statements into a single multi-row INSERT.

### Pipeline Builder

Execute multiple queries in sequence with minimal overhead.

## Query Plan Caching

Cache execution plans with performance hints and automatic metrics tracking.

### ExecutionPlanCache

### Plan Hints

Provide optimization hints to the query executor.

### Performance Analysis

## Type-Level Filters

Diesel-style zero-cost filter abstractions with stack allocation.

### And5, Or5, etc.

### DirectSql Trait

Generate SQL directly without intermediate Filter enum.

### Slice-Based IN Filters

Zero-allocation IN clauses using borrowed slices.

## Connection Pool Optimization

Optimize connection pool settings for your workload.

### Pool Warmup

### Prepared Statement Caching