2589230 0 13:47 pts/156 00:00:00 ./bazel-bin/curvefs/src/client/fuse_client -f -o volume=/fs -o user=test -o conf=./curvefs/conf/curvefs_client.conf /tmp/fsmount 问题1：root用户无法访问挂载目录 测试发现client moun fsmount/ wanghai01@pubbeta1-nostest2:/tmp/fsmount$ ls wanghai01@pubbeta1-nostest2:/tmp/fsmount$ # nbs user nbs@pubbeta1-nostest2:/tmp$ ls -l | grep fsmount ls: cannot access 'fsmount': Permission denied d ? fsmount nbs@pubbeta1-nostest2:/tmp$ cd fsmount -bash: cd: fsmount: Permission denied # root user root@pubbeta1-nostest2:/tmp# ls -l | grep fsmount ls: cannot access 'fsmount': Permission denied d

dynamic languages as being "typeless", they are definitely not. Every object, whether primitive or user-defined, has a type. The lack of type declarations in most dynamic lan- guages, however, means that 13-DEV DOCUMENTATION 4 Operators are just functions with special notation – to extend addition to new user-defined data types, you define new methods for the + function. Existing code then seamlessly applies some advantages of Julia over comparable systems include: • Free and open source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized

dynamic languages as being "typeless", they are definitely not. Every object, whether primitive or user-defined, has a type. The lack of type declarations in most dynamic lan- guages, however, means that object-oriented dispatch. Operators are just functions with special notation – to extend addition to new user-defined data types, you define new methods for the + function. Existing code then seamlessly applies some advantages of Julia over comparable systems include: • Free and open source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized

dynamic languages as being "typeless", they are definitely not. Every object, whether primitive or user-defined, has a type. The lack of type declarations in most dynamic lan- guages, however, means that object-oriented dispatch. Operators are just functions with special notation – to extend addition to new user-defined data types, you define new methods for the + function. Existing code then seamlessly applies some advantages of Julia over comparable systems include: • Free and open source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized

dynamic languages as being "typeless", they are definitely not. Every object, whether primitive or user-defined, has a type. The lack of type declarations in most dynamic lan- guages, however, means that object-oriented dispatch. Operators are just functions with special notation – to extend addition to new user-defined data types, you define new methods for the + function. Existing code then seamlessly applies some advantages of Julia over comparable systems include: • Free and open source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized

OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ syntax="proto2"; package curvefs.mds; option cc_generic_services volumeSize = 1; required uint64 blockSize = 2; required string volumeName = 3; required string user = 4; optional string password = 5; } message FsInfo { required uint32 fsId = 1;© XXX Page OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ syntax="proto2"; package curvefs.metaserver; option

dynamic languages as being "typeless", they are definitely not. Every object, whether primitive or user-defined, has a type. The lack of type declarations in most dynamic lan- guages, however, means that 12-RC1 DOCUMENTATION 4 Operators are just functions with special notation – to extend addition to new user-defined data types, you define new methods for the + function. Existing code then seamlessly applies some advantages of Julia over comparable systems include: • Free and open source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized

dynamic languages as being "typeless", they are definitely not. Every object, whether primitive or user-defined, has a type. The lack of type declarations in most dynamic lan- guages, however, means that 12-BETA4 DOCUMENTATION 4 Operators are just functions with special notation – to extend addition to new user-defined data types, you define new methods for the + function. Existing code then seamlessly applies some advantages of Julia over comparable systems include: • Free and open source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized

dynamic languages as being "typeless", they are definitely not. Every object, whether primitive or user-defined, has a type. The lack of type declarations in most dynamic lan- guages, however, means that 12-BETA3 DOCUMENTATION 4 Operators are just functions with special notation – to extend addition to new user-defined data types, you define new methods for the + function. Existing code then seamlessly applies some advantages of Julia over comparable systems include: • Free and open source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized

dynamic languages as being "typeless", they are definitely not. Every object, whether primitive or user-defined, has a type. The lack of type declarations in most dynamic lan- guages, however, means that 12-BETA1 DOCUMENTATION 4 Operators are just functions with special notation – to extend addition to new user-defined data types, you define new methods for the + function. Existing code then seamlessly applies some advantages of Julia over comparable systems include: • Free and open source (MIT licensed) • User-defined types are as fast and compact as built-ins • No need to vectorize code for performance; devectorized