Provided by: libgearman-dev_1.1.20+ds-1.2build4_amd64
NAME
gearman_worker_free - Gearmand Documentation, http://gearman.info/
SYNOPSIS
#include <libgearman/gearman.h> gearman_worker_st *gearman_worker_create(gearman_worker_st *client) gearman_worker_st *gearman_worker_clone(gearman_worker_st *client, const gearman_worker_st *from) void gearman_worker_free(gearman_worker_st *client) Link with -lgearman
DESCRIPTION
gearman_worker_create() is used to create a gearman_worker_st structure that will then be used by other libgearman(3) client functions to communicate with the server. You should either pass a statically declared gearman_worker_st to gearman_worker_create) or a NULL. If a NULL passed in then a structure is allocated for you. gearman_worker_clone() is similar to gearman_worker_create() but it copies the defaults and list of servers from the source gearman_worker_st. If you pass a null as the argument for the source to clone, it is the same as a call to gearman_worker_create(). If the destination argument is NULL a gearman_worker_st will be allocated for you. To clean up memory associated with a gearman_worker_st structure you should pass it to gearman_worker_free() when you are finished using it. gearman_worker_free is the only way to make sure all memory is deallocated when you finish using the structure. You may wish to avoid using gearman_worker_create() or gearman_worker_clone() with a stack based allocation, ie the first parameter. The most common issues related to ABI safety involve heap allocated structures.
RETURN VALUE
gearman_worker_create() returns a pointer to the gearman_worker_st that was created (or initialized). On an allocation failure, it returns NULL. gearman_worker_clone() returns a pointer to the gearman_worker_st that was created (or initialized). On an allocation failure, it returns NULL.
HOME
To find out more information please check: http://gearman.info/ SEE ALSO: gearmand(8) libgearman(3) gearman_strerror(3)
AUTHOR
Data Differential http://www.datadifferential.com/
COPYRIGHT
2011-2024, Data Differential, http://www.datadifferential.com/