How to Inspect Go Program Memory with Delve: A Step‑by‑Step Guide
This guide explains how to use the Go debugger Delve to inspect program memory, covering stack and heap layout, byte order, setting breakpoints, disassembling code, and reading raw memory values, with step‑by‑step commands and screenshots that illustrate each operation.
What is Delve
Delve is a Go debugging tool that provides breakpoint debugging, data inspection, and the ability to switch between goroutines. Most IDEs already integrate it.
Program Memory Overview
When a Go program runs, its binary is loaded into memory, consisting of code, stack, and heap. The stack grows downward, the heap upward, but Go's runtime and goroutine scheduling can affect actual address layout. Byte order on typical x86/AMD CPUs is little‑endian, meaning the least‑significant byte is stored at the lowest address.
Example: a pointer value 0xc0123456 is stored as 0x56 0x34 0x12 0xc0 (on a 32‑bit illustration; on 64‑bit it occupies eight bytes).
Using Delve for Memory Inspection
After installing Delve, start debugging the main file: dlv debug main.go Set a breakpoint at line 9: b main.go:9 Run the program until the breakpoint, then view the disassembly of the current address:
disass -a 0x495c75 0x495d75Inspect variable values:
p a p bTo view raw memory at a specific address in hexadecimal format, use:
x -fmt hex -len 32 0xc00010cef0The output shows 8‑byte rows; the first eight bytes after the address of variable a contain the integer value 1, confirming the stored data.
Repeating the process for variable b reveals its address, length, and the underlying bytes. The first eight bytes represent the address of the string data, followed by three bytes that correspond to the ASCII characters “abc”. The subsequent bytes represent the string length (3), matching Go’s string representation as a pointer plus length.
Summary
This example demonstrates Delve’s memory‑view capabilities, helping developers understand Go’s data layout, string representation, and the impact of memory allocation on performance. It also highlights why naïvely appending to a string can trigger additional heap allocations and garbage‑collection cycles.
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