db_ts_trim_history {timeseriesdb} | R Documentation |
Remove Vintages from the Beginning
Description
Removes any vintages of the given time series that are older than a specified date.
Usage
db_ts_trim_history(con, ts_keys, older_than, schema = "timeseries")
Arguments
con |
RPostgres connection object. |
ts_keys |
character vector of time series identifiers. |
older_than |
Date cut off point |
schema |
character name of the database schema. Defaults to 'timeseries' |
Details
In some cases only the last few versions of time series are of interest. This function can be used to trim off old vintages that are no longer relevant.
See Also
Other time series functions:
db_collection_read_ts()
,
db_dataset_read_ts()
,
db_ts_delete_latest_version()
,
db_ts_delete()
,
db_ts_get_last_update()
,
db_ts_read_history()
,
db_ts_read()
,
db_ts_store()
Examples
## Not run:
# Store different versions of the time series data
ch.kof.barometer <- kof_ts["baro_2019m11"]
names(ch.kof.barometer) <- c("ch.kof.barometer")
db_ts_store(
con = connection,
ch.kof.barometer,
valid_from = "2019-12-01",
schema = "schema"
)
ch.kof.barometer <- kof_ts["baro_2019m12"]
names(ch.kof.barometer) <- c("ch.kof.barometer")
db_ts_store(
con = connection,
ch.kof.barometer,
valid_from = "2020-01-01",
schema = "schema"
)
db_ts_trim_history(
con = connection,
ts_keys = "ch.kof.barometer",
older_than = "2019-12-31",
schema = "schema"
)
## End(Not run)
[Package timeseriesdb version 1.0.0-1.1.2 Index]