def civis_to_csv(filename,
sql,
database,
job_name=None,
api_key=None,
credential_id=None,
polling_interval=_DEFAULT_POLLING_INTERVAL,
archive=True):
"""Export data from Civis to a local CSV file.
Parameters
----------
filename : str
Download exported data into this file.
sql : str, optional
The SQL select string to be executed.
database : str or int
Export data from this database. Can be the database name or ID.
job_name : str, optional
A name to give the job. If omitted, a random job name will be
used.
api_key : str, optional
Your Civis API key. If not given, the :envvar:`CIVIS_API_KEY`
environment variable will be used.
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 query completion.
archive : bool, optional
If ``True`` (the default), archive the export job as soon as it
completes.
Returns
-------
results : :class:`~civis.polling.PollableResult`
A `PollableResult` object.
Examples
--------
>>> sql = "SELECT * FROM schema.table"
>>> poll = civis_to_csv("file.csv", sql, "my_database")
>>> poll.result() # Wait for job to complete
See Also
--------
civis.io.read_civis : Read table contents into memory.
civis.io.read_civis_sql : Read results of a SQL query into memory.
"""
client = APIClient(api_key=api_key)
script_id, run_id = _sql_script(client, sql, database, job_name,
credential_id)
poll = PollableResult(client.scripts.get_sql_runs, (script_id, run_id),
polling_interval)
download = _download_callback(script_id, run_id, client, filename)
poll.add_done_callback(download)
if archive:
def f(x):
return client.scripts.put_sql_archive(script_id, True)
poll.add_done_callback(f)
return poll
def csv_to_civis(filename,
database,
table,
api_key=None,
max_errors=None,
existing_table_rows="fail",
distkey=None,
sortkey1=None,
sortkey2=None,
delimiter=",",
headers=None,
credential_id=None,
polling_interval=_DEFAULT_POLLING_INTERVAL,
archive=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 : str, optional
Your Civis API key. If not given, the :envvar:`CIVIS_API_KEY`
environment variable will be used.
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'`` or ``'append'``. 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
If ``True`` (the default), archive the import job as soon as it
completes.
Returns
-------
results : :class:`~civis.polling.PollableResult`
A `PollableResult` 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')
>>> poller = civis.io.csv_to_civis('input_file.csv',
... 'my-database',
... 'scratch.my_data')
>>> poller.result()
"""
client = APIClient(api_key=api_key)
schema, table = table.split(".", 1)
db_id = client.get_database_id(database)
cred_id = credential_id or client.default_credential
delimiter = DELIMITERS.get(delimiter)
assert delimiter, "delimiter must be one of {}".format(DELIMITERS.keys())
kwargs = dict(schema=schema,
name=table,
remote_host_id=db_id,
credential_id=cred_id,
max_errors=max_errors,
existing_table_rows=existing_table_rows,
distkey=distkey,
sortkey1=sortkey1,
sortkey2=sortkey2,
column_delimiter=delimiter,
first_row_is_header=headers)
import_job = client.imports.post_files(**kwargs)
with open(filename, "rb") as data:
put_response = requests.put(import_job.upload_uri, data)
put_response.raise_for_status()
run_job_result = client._session.post(import_job.run_uri)
run_job_result.raise_for_status()
run_info = run_job_result.json()
poll = PollableResult(client.imports.get_files_runs,
(run_info['importId'], run_info['id']),
polling_interval=polling_interval)
if archive:
def f(x):
return client.imports.put_archive(import_job.id, True)
poll.add_done_callback(f)
return poll
def read_civis_sql(sql,
database,
use_pandas=False,
job_name=None,
api_key=None,
credential_id=None,
polling_interval=_DEFAULT_POLLING_INTERVAL,
archive=True,
**kwargs):
"""Read data from Civis using a custom SQL string.
Parameters
----------
sql : str, optional
The SQL select string to be executed.
database : str or int
Execute the query against this database. Can be the database name
or ID.
use_pandas : bool, optional
If ``True``, return a :class:`pandas:pandas.DataFrame`. Otherwise,
return a list of results from :func:`python:csv.reader`.
job_name : str, optional
A name to give the job. If omitted, a random job name will be
used.
api_key : str, optional
Your Civis API key. If not given, the :envvar:`CIVIS_API_KEY`
environment variable will be used.
credential_id : str or int, optional
The database credential ID. If ``None``, the default credential
will be used.
polling_interval : int or float, optional
Number of seconds to wait between checks for query completion.
archive : bool, optional
If ``True`` (the default), archive the export job as soon as it
completes.
**kwargs : kwargs
Extra keyword arguments are passed into
:func:`pandas:pandas.read_csv` if `use_pandas` is ``True`` or
passed into :func:`python:csv.reader` if `use_pandas` is
``False``.
Returns
-------
data : :class:`pandas:pandas.DataFrame` or list
A list of rows (with header as first row) if `use_pandas` is
``False``, otherwise a `pandas` `DataFrame`. Note that if
`use_pandas` is ``False``, no parsing of types is performed and
each row will be a list of strings.
Raises
------
ImportError
If `use_pandas` is ``True`` and `pandas` is not installed.
Examples
--------
>>> sql = "SELECT * FROM schema.table"
>>> df = read_civis_sql(sql, "my_database", use_pandas=True)
>>> col_a = df["column_a"]
>>> data = read_civis_sql(sql, "my_database")
>>> columns = data.pop(0)
>>> col_a_index = columns.index("column_a")
>>> col_a = [row[col_a_index] for row in data]
Notes
-----
This reads the data into memory.
See Also
--------
civis.io.read_civis : Read directly into memory without SQL.
civis.io.civis_to_csv : Write directly to a CSV file.
"""
if use_pandas and NO_PANDAS:
raise ImportError("use_pandas is True but pandas is not installed.")
client = APIClient(api_key=api_key)
script_id, run_id = _sql_script(client, sql, database, job_name,
credential_id)
poll = PollableResult(client.scripts.get_sql_runs, (script_id, run_id),
polling_interval)
if archive:
def f(x):
return client.scripts.put_sql_archive(script_id, True)
poll.add_done_callback(f)
poll.result()
outputs = client.scripts.get_sql_runs(script_id, run_id)["output"]
if not outputs:
raise EmptyResultError(
"Query {} returned no output.".format(script_id))
url = outputs[0]["path"]
if use_pandas:
data = pd.read_csv(url, **kwargs)
else:
r = requests.get(url)
r.raise_for_status()
data = list(csv.reader(StringIO(r.text), **kwargs))
return data