| get_mart_table | R Documentation | 
get_mart_table allows the programmer to retrieve a data table from a CLESSN data mart.
get_mart_table(table_name, credentials, data_filter = list(), nbrows = 0)
| table_name | The name of the table to retrieve from the warehouse without the 'chlub_tables_mart' prefix | 
| credentials | The hublot credentials obtained from the hublot:: | 
| data_filter | a filter on the data to be selected in the query | 
| nbrows | Optional argument If nbrows is greater than 0, the dataframe returned will be limited to nbrows observations. This is particularly useful when trying to see if there are records in a table and what how structured they are. If nbrows is omitted, then all rows of the table are returned | 
returns a dataframe containing the data warehouse table with a JSON attribute as well as a document.id and creation & update time stamps
## Not run: 
 # connect to hublot
 credentials <- hublot::get_credentials(
   Sys.getenv("HUB3_URL"),
   Sys.getenv("HUB3_USERNAME"),
   Sys.getenv("HUB3_PASSWORD")
   )
 # gets the entire datamart political_parties_press_releases_freq
 datamart  <- clessnverse::get_mart_table(
   table_name = 'political_parties_press_releases_freq',
   data_filter = list(),
   credentials = credentials)
 # gets the first 10 rows of the warehouse table 'political_parties_press_releases_freq'
 datamart  <- clessnverse::get_mart_table(
   table_name = 'political_parties_press_releases_freq',
   data_filter = list(),
   credentials = credentials,
   nbrows=10)
 
## End(Not run)
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