从Docker集线器university中提取图像后，不会列出该图像，并且我收到一个致命错误：docker images list命令中的错误
docker images但是我仍然可以使用$ docker images list
REPOSITORY TAG IMAGE ID CREATED VIRTUAL SIZE
$
$ docker images
unexpected fault address 0xb01dfacedebac1e
fatal error: fault
[signal 0xb code=0x1 addr=0xb01dfacedebac1e pc=0x14f3af]
goroutine 1 [running]:
runtime.throw(0x5bda98, 0x5)
/usr/local/Cellar/go/1.5.1/libexec/src/runtime/panic.go:527 +0x90 fp=0xc82013cdb0 sp=0xc82013cd98
runtime.sigpanic()
/usr/local/Cellar/go/1.5.1/libexec/src/runtime/sigpanic_unix.go:27 +0x2ba fp=0xc82013ce00 sp=0xc82013cdb0
text/tabwriter.(*Writer).write0(0xc8201a0000, 0xc820186160, 0xa, 0x14a)
/usr/local/Cellar/go/1.5.1/libexec/src/text/tabwriter/tabwriter.go:215 +0x5f fp=0xc82013ce70 sp=0xc82013ce00
text/tabwriter.(*Writer).writeLines(0xc8201a0000, 0x0, 0x0, 0x3, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/text/tabwriter/tabwriter.go:282 +0x4da fp=0xc82013cfb8 sp=0xc82013ce70
text/tabwriter.(*Writer).format(0xc8201a0000, 0x0, 0x0, 0x3, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/text/tabwriter/tabwriter.go:370 +0x317 fp=0xc82013d070 sp=0xc82013cfb8
text/tabwriter.(*Writer).format(0xc8201a0000, 0x0, 0x0, 0x3, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/text/tabwriter/tabwriter.go:363 +0x2a9 fp=0xc82013d128 sp=0xc82013d070
text/tabwriter.(*Writer).format(0xc8201a0000, 0x0, 0x0, 0x3, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/text/tabwriter/tabwriter.go:363 +0x2a9 fp=0xc82013d1e0 sp=0xc82013d128
text/tabwriter.(*Writer).format(0xc8201a0000, 0x0, 0x0, 0x3, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/text/tabwriter/tabwriter.go:363 +0x2a9 fp=0xc82013d298 sp=0xc82013d1e0
text/tabwriter.(*Writer).format(0xc8201a0000, 0x0, 0x0, 0x4, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/text/tabwriter/tabwriter.go:363 +0x2a9 fp=0xc82013d350 sp=0xc82013d298
text/tabwriter.(*Writer).Flush(0xc8201a0000, 0x0, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/text/tabwriter/tabwriter.go:466 +0x1f0 fp=0xc82013d3e8 sp=0xc82013d350
github.com/docker/docker/api/client.(*DockerCli).CmdImages(0xc8200a8300, 0xc82000a1b0, 0x0, 0x0, 0x0, 0x0)
/private/tmp/docker20151015-58839-tt61q3/.gopath/src/github.com/docker/docker/api/client/images.go:127 +0x1be7 fp=0xc82013db08 sp=0xc82013d3e8
runtime.call64(0xc8200155e0, 0x5b67c8, 0xc820141f50, 0x2000000030)
/usr/local/Cellar/go/1.5.1/libexec/src/runtime/asm_amd64.s:438 +0x3e fp=0xc82013db50 sp=0xc82013db08
reflect.callMethod(0xc820141f20, 0xc82013dc28)
/usr/local/Cellar/go/1.5.1/libexec/src/reflect/value.go:628 +0x1fc fp=0xc82013dc10 sp=0xc82013db50
reflect.methodValueCall(0xc82000a1b0, 0x0, 0x0, 0x1, 0xc820141f20, 0x0, 0x0, 0xc820141f20, 0xc820160180, 0x66444, ...)
/usr/local/Cellar/go/1.5.1/libexec/src/reflect/asm_amd64.s:29 +0x36 fp=0xc82013dc28 sp=0xc82013dc10
github.com/docker/docker/cli.(*Cli).Run(0xc820141b60, 0xc82000a1b0, 0x1, 0x1, 0x0, 0x0)
/private/tmp/docker20151015-58839-tt61q3/.gopath/src/github.com/docker/docker/cli/cli.go:89 +0x383 fp=0xc82013dd10 sp=0xc82013dc28
main.main()
/private/tmp/docker20151015-58839-tt61q3/docker/docker.go:69 +0x400 fp=0xc82013df00 sp=0xc82013dd10
runtime.main()
/usr/local/Cellar/go/1.5.1/libexec/src/runtime/proc.go:111 +0x2b0 fp=0xc82013df50 sp=0xc82013df00
runtime.goexit()
/usr/local/Cellar/go/1.5.1/libexec/src/runtime/asm_amd64.s:1696 +0x1 fp=0xc82013df58 sp=0xc82013df50
goroutine 17 [syscall, locked to thread]:
runtime.goexit()
/usr/local/Cellar/go/1.5.1/libexec/src/runtime/asm_amd64.s:1696 +0x1
goroutine 5 [syscall]:
os/signal.loop()
/usr/local/Cellar/go/1.5.1/libexec/src/os/signal/signal_unix.go:22 +0x18
created by os/signal.init.1
/usr/local/Cellar/go/1.5.1/libexec/src/os/signal/signal_unix.go:28 +0x37
goroutine 7 [IO wait]:
net.runtime_pollWait(0xe65ea8, 0x72, 0xc820010160)
/usr/local/Cellar/go/1.5.1/libexec/src/runtime/netpoll.go:157 +0x60
net.(*pollDesc).Wait(0xc82015cf40, 0x72, 0x0, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/net/fd_poll_runtime.go:73 +0x3a
net.(*pollDesc).WaitRead(0xc82015cf40, 0x0, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/net/fd_poll_runtime.go:78 +0x36
net.(*netFD).Read(0xc82015cee0, 0xc820155000, 0x1000, 0x1000, 0x0, 0xe60050, 0xc820010160)
/usr/local/Cellar/go/1.5.1/libexec/src/net/fd_unix.go:232 +0x23a
net.(*conn).Read(0xc8200300e8, 0xc820155000, 0x1000, 0x1000, 0x0, 0x0, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/net/net.go:172 +0xe4
net/http.noteEOFReader.Read(0xe65f68, 0xc8200300e8, 0xc820096108, 0xc820155000, 0x1000, 0x1000, 0x0, 0x0, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/net/http/transport.go:1370 +0x67
net/http.(*noteEOFReader).Read(0xc82014d3a0, 0xc820155000, 0x1000, 0x1000, 0x0, 0x0, 0x0)
<autogenerated>:126 +0xd0
bufio.(*Reader).fill(0xc820018f60)
/usr/local/Cellar/go/1.5.1/libexec/src/bufio/bufio.go:97 +0x1e9
bufio.(*Reader).Peek(0xc820018f60, 0x1, 0x0, 0x0, 0x0, 0x0, 0x0)
/usr/local/Cellar/go/1.5.1/libexec/src/bufio/bufio.go:132 +0xcc
net/http.(*persistConn).readLoop(0xc8200960b0)
/usr/local/Cellar/go/1.5.1/libexec/src/net/http/transport.go:876 +0xf7
created by net/http.(*Transport).dialConn
/usr/local/Cellar/go/1.5.1/libexec/src/net/http/transport.go:685 +0xc78
goroutine 8 [select]:
net/http.(*persistConn).writeLoop(0xc8200960b0)
/usr/local/Cellar/go/1.5.1/libexec/src/net/http/transport.go:1009 +0x40c
created by net/http.(*Transport).dialConn
/usr/local/Cellar/go/1.5.1/libexec/src/net/http/transport.go:686 +0xc9d
运行最近拉出的图像。
这是Docker for Mac版本：18.03.1-ce-mac-65（24312）。这是Macbook Pro的新安装。
我尝试使用Google搜索，但是找不到任何东西。有人知道发生了什么吗？
答案 0 :(得分：1)
问题是它与通过brew安装的旧docker冲突。这就是为什么在输出中大量提及“地窖”的原因。一旦我卸载了docker的brew版本，命令就会起作用，并且按预期列出了映像。