civis.io.csv_to_civis¶
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civis.io.csv_to_civis(filename, database, table, api_key=None, client=None, max_errors=None, existing_table_rows='fail', distkey=None, sortkey1=None, sortkey2=None, delimiter=', ', headers=None, credential_id=None, polling_interval=None, archive=False, hidden=True)¶ Upload the contents of a local CSV file to Civis.
Parameters: filename : str
Upload the contents of this file.
database : str or int
Upload data into this database. Can be the database name or ID.
table : str
The schema and table you want to upload to. E.g.,
'scratch.table'.api_key : DEPRECATED str, optional
Your Civis API key. If not given, the
CIVIS_API_KEYenvironment variable will be used.client :
civis.APIClient, optionalIf not provided, an
civis.APIClientobject will be created from theCIVIS_API_KEY.max_errors : int, optional
The maximum number of rows with errors to remove from the import before failing.
existing_table_rows : str, optional
The behaviour if a table with the requested name already exists. One of
'fail','truncate','append'or'drop'. Defaults to'fail'.distkey : str, optional
The column to use as the distkey for the table.
sortkey1 : str, optional
The column to use as the sortkey for the table.
sortkey2 : str, optional
The second column in a compound sortkey for the table.
delimiter : string, optional
The column delimiter. One of
',','\t'or'|'.headers : bool, optional
Whether or not the first row of the file should be treated as headers. The default,
None, attempts to autodetect whether or not the first row contains headers.credential_id : str or int, optional
The ID of the database credential. If
None, the default credential will be used.polling_interval : int or float, optional
Number of seconds to wait between checks for job completion.
archive : bool, optional (deprecated)
If
True, archive the import job as soon as it completes.hidden : bool, optional
If
True(the default), this job will not appear in the Civis UI.Returns: results :
CivisFutureA CivisFuture object.
Notes
This reads the contents of filename into memory.
Examples
>>> with open('input_file.csv', 'w') as _input: ... _input.write('a,b,c\n1,2,3') >>> fut = civis.io.csv_to_civis('input_file.csv', ... 'my-database', ... 'scratch.my_data') >>> fut.result()