Configuration properties

Configuration parameters are set for the purge events application to process. This configuration should only be changed to match the server configuration.

PARAM_NAME	PARAM_VALUE	DESCRIPTION
df.rr.purge.data.schedule.dayofmonth	*	The day of the month on which the purge data logic will be invoked.
df.rr.purge.data.schedule.dayofweek	*	The day of the week on which the purge data logic will be invoked.
df.rr.purge.data.schedule.month	*	The day of the year on which the purge data logic will be invoked.
df.rr.purge.data.schedule.hour	*	The hour of the day (0 to 23) on which the purge data logic will be invoked.
df.rr.purge.data.schedule.year	*	The year in which the purge data logic will be invoked.
df.rr.purge.data.schedule.minute	*/5	Either: The minute of an hour on which the purge data logic will be invoked. Or: The interval in minutes after which the purge data will be invoked.
df.rr.purge.data.schedule.second	0	Either: The second of a minute on which the purge data logic will be invoked. Or: The interval in seconds after which the purge data will be invoked.
df.rr.purge.data.execution.mode	JOB	Whether the purge data logic will run in job mode (value=JOB) or event mode (value=EVENT).
df.rr.purge.data.before.hours	0	Delays the start of the purge by this number of hours.
df.rr.purge.data.archiving	Y	Whether to archive the staging events (Y to archive, N to not archive).
df.rr.purge.data.enable	Y	Whether to enable purging logic (Y to enable, N to disable).
df.rr.purge.data.batch.hard.max.size	2000	The hard max size for the batch process.
df.rr.purge.data.job.limit.size	50	Job limit size to purge the data for each process.
df.rr.purge.timeout.jobs	300	The time allowed for a job to process (in seconds). If it takes longer than this specified value, the processing of the job is transferred to another application.
df.rr.purge.data.job.process.window.size	10	Jobs per chunk used for processing the purge operation.
df.rr.purge.data.persistent.flag	FALSE	This determines whether to span persistent or non-persistent thread. If set to True then persistent thread is spanned. If set to False, non-persistent thread is spanned.
df.rr.purge.process.log.enable	Y	Whether or not to log the purge process in a table (Y to log, N to not log).
df.rr.purge.validate.job.enable	Y	Whether or not to enable validation of the job process (Y to enable, N to disable).
df.rr.purgedata.job.process.window.size	2	The number of jobs per chunk when processing the purge operation
df.rr.purge.process.log.enable loaded	Y	This determines whether the data in table RR_PURGE_PROCESS_LOG will be loaded with transaction details. If set to Y, it will be loaded with transaction details. If set to N it will not.

Bookmark Name	Actions

BACK

In this topic

Add Bookmark View Bookmark

Previous Docs

Feedback