rx_read_object
revoscalepy.rx_read_object(src: revoscalepy.datasource.RxOdbcData.RxOdbcData,
key: str = None, version: str = None,
key_name: str = 'id', value_name: str = 'value',
version_name: str = 'version', deserialize: bool = True,
decompress: str = 'zip')
Retrieves an ODBC data source object by its key value.
Loads an object from the ODBC data source, decompressing and unserializing it (by default) in the process. Returns the object. If the data source parameter defines a query, the key and the version parameters are ignored.
The key and the version should be of some SQL character type (CHAR, VARCHAR, NVARCHAR, etc.) supported by the data source. The value column should be a binary type (VARBINARY for instance). Some conversions to other types might work, however, they are dependent on the ODBC driver and on the underlying package functions.
The object being stored into the data source.
A character string identifying the object. The intended use is for the key+version to be unique.
None or a character string which carries the version of the object. Combined with key identifies the object.
Character string specifying the column name for the key in the underlying table.
Character string specifying the column name for the objects in the underlying table.
Character string specifying the column name for the version in the underlying table.
Bool value. Dictates whether the object is to be serialized. Only raw values are supported if serialization is off.
logical value. Defines whether the object is to be de-serialized.
Character string defining the compression algorithm to use for memDecompress.
rx_read_object returns an object. rx_write_object and rx_delete_object return bool, True on success. rx_list_keys returns a single column data frame containing strings.
from pandas import DataFrame
from numpy import random
from revoscalepy import RxOdbcData, rx_write_object, rx_read_object, rx_list_keys, rx_delete_object
connection_string = 'Driver=SQL Server;Server=.;Database=RevoTestDb;Trusted_Connection=True;'
dest = RxOdbcData(connection_string, table = "dataframe")
df = DataFrame(random.randn(10, 5))
status = rx_write_object(dest, key = "myDf", value = df)
read_obj = rx_read_object(dest, key = "myDf")
keys = rx_list_keys(dest)
rx_delete_object(dest, key = "myDf")