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What problems will golang memory escape cause?

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Memory escapes in Go can make data on the stack unsafe, causing performance issues and concurrency issues. It occurs when the address of a value is passed from stack memory to the outer scope. In order to avoid memory escape, you can: 1. Use local variables; 2. Use closures with caution; 3. Use interfaces; 4. Use channels.

What problems will golang memory escape cause?

The problem of memory escape in Go

In Go, memory escape means that the value or function is allocated from Its stack memory "escapes". This happens when the address of a variable is passed into other goroutines or functions.

メモリ escape will cause the following problems:

1. The data on the stack is not safe

When data escapes out of the stack, it may cause Corruption of data on the stack. This is because stack space is limited and used by other goroutines or functions. When a memory escape occurs, these other threads may overwrite data on the stack.

2. Performance Issues

Memory escapes can cause performance issues because they force the Go runtime to copy values ​​from the stack to the heap. Heap allocation is much slower than stack allocation, thus causing the application to slow down.

3. Concurrency issues

Memory escape may also cause concurrency issues. When escaping data is shared, data races can occur because multiple goroutines can access and modify the same data concurrently.

How to avoid memory escape

You can take the following measures to avoid memory escape:

  • Use local variables: Declare variables as local variables to ensure that they are only visible within the scope of the function or goroutine.
  • Use closures with caution: Closures can capture variables and escape them to the outer scope. Avoid capturing references to variables in closures unless absolutely necessary.
  • Use interfaces: Interfaces can separate values ​​and pointers, thereby preventing memory escapes.
  • Using channels: Channels can safely pass values ​​between goroutines without escaping the values ​​to the heap.

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