Provided by: libgearman-dev_1.1.18+ds-1_amd64
NAME
gearman_worker_define_function - Gearmand Documentation, http://gearman.info/
SYNOPSIS
#include <libgearman/gearman.h> gearman_function_t gearman_return_t gearman_worker_define_function(gearman_worker_st *worker, const char *function_name, const size_t function_name_length, const gearman_function_t function, const uint32_t timeout, void *context) gearman_function_fn gearman_aggregator_fn Link with -lgearman
DESCRIPTION
gearman_worker_define_function() defines functions for a worker. The interface is callback by design. When the server has a job for the worker, gearman_function_fn is evoked with a gearman_job_st representing the job, and the context that was defined originally when the function was defined. Results are sent back to the client by invoking gearman_job_send_data(). If the client specified an reducer function, then the output of the gearman_function_fn will be sent to that function. You can split the work out to the reducer function by sending data multiple times with gearman_job_send_data(). If any errors are detected then the entire job is cancelled. The gearman_aggregator_fn will be called when all mapped jobs have completed. The result of this function will be what is returned to the client. The callback function needs to return one of the following errors: GEARMAN_SUCCESS The function was successful. GEARMAN_FAIL An error has occurred, the job we not processed, and the worker cannot continue. GEARMAN_ERROR A transient error has occurred, like a network failure, and the job can be restarted. If a value other then the above are returned it is converted to a GEARMAN_FAIL and gearman_worker_work() returns GEARMAN_INVALID_ARGUMENT. gearman_job_send_complete() and gearman_job_send_fail() cannot be used with any functions created with gearman_worker_define_function().
RETURN VALUE
gearman_return_t
HOME
To find out more information please check: http://gearman.info/
SEE ALSO
gearmand(8) libgearman(3) gearman_strerror(3) gearman_client_error gearman_client_execute_reduce
AUTHOR
Data Differential http://www.datadifferential.com/
COPYRIGHT
2011-2017, Data Differential, http://www.datadifferential.com/