NAME

       gearman_client_job_status - Gearmand Documentation, http://gearman.info/

SYNOPSIS

       #include <libgearman/gearman.h>

       gearman_return_t gearman_client_job_status(gearman_client_st *client, gearman_job_handle_t
       job_handle, bool *is_known, bool *is_running, uint32_t *numerator, uint32_t *denominator)

       Link with -lgearman

DESCRIPTION

       gearman_client_job_status()  is  used  to   find   the   status   of   a   job   via   its
       gearman_job_handle_t.  The  arguments is_known, is_running, numerator, and denominator are
       all   optional.   Unless   a   Gearman   worker   has   sent   numerator/denominator   via
       gearman_job_send_status(), those values will be zero.

       If  the arguments is_known and is_running are omitted then the function returns state data
       via gearman_return_t.

RETURN VALUE

       gearman_return_t will be returned. GEARMAN_SUCCESS will be returned upon  success  of  the
       status  being  updated.   If  the  arguments  is_known  and  is_running  are  omitted then
       gearman_client_job_status() will return GEARMAN_JOB_EXISTS if the gearman_job_handle_t  is
       known  on the server, and GEARMAN_IN_PROGRESS if it is running. Knowing whether the job is
       running or not has higher precedence. gearman_continue() can be used for loops  where  you
       want to exit from the loop once the job has been completed.

       WARNING:
          For  loops you should always check gearman_return_t with gearman_continue() even if you
          specify the argument  is_known  or  is_running.  A  non-blocking  IO  call  can  return
          something other then GEARMAN_SUCCESS, in some cases you will want to treat those values
          not as errors.

HOME

       To find out more information please check: http://gearman.info/

       SEE ALSO:
          gearmand(8)      libgearman(3)       gearman_client_st(3)       gearman_job_handle_t(3)
          gearman_continue(3

AUTHOR

       Data Differential http://www.datadifferential.com/

COPYRIGHT

       2011-2022, Data Differential, http://www.datadifferential.com/