def copy(tablename, rows, delimiter=",", quote='"', headers=None):
copy_client = CopySQLClient(_get_auth_client())
rows = iter(rows)
if headers is None:
headers = delimiter.join(next(rows))
else:
headers = delimiter.join(headers)
from_query = f"""COPY {tablename} ({headers}) FROM stdin
(FORMAT CSV, DELIMITER '{delimiter}', HEADER false)"""
try:
return copy_client.copyfrom(from_query,
rows_generator(rows, delimiter, quote))
except CartoException as e:
log.error(f"Error importing \n\n {rows}")
log.exception(e)
class ContextManager:
def __init__(self, credentials):
self.credentials = credentials or get_default_credentials()
check_credentials(self.credentials)
self.auth_client = _create_auth_client(self.credentials)
self.sql_client = SQLClient(self.auth_client)
self.copy_client = CopySQLClient(self.auth_client)
self.batch_sql_client = BatchSQLClient(self.auth_client)
def execute_query(self,
query,
parse_json=True,
do_post=True,
format=None,
**request_args):
return self.sql_client.send(query.strip(), parse_json, do_post, format,
**request_args)
def execute_long_running_query(self, query):
return self.batch_sql_client.create_and_wait_for_completion(
query.strip())
def copy_to(self,
source,
schema,
limit=None,
retry_times=DEFAULT_RETRY_TIMES):
query = self.compute_query(source, schema)
columns = self._get_query_columns_info(query)
copy_query = self._get_copy_query(query, columns, limit)
return self._copy_to(copy_query, columns, retry_times)
def copy_from(self, gdf, table_name, if_exists='fail', cartodbfy=True):
schema = self.get_schema()
table_name = self.normalize_table_name(table_name)
columns = get_dataframe_columns_info(gdf)
if if_exists == 'replace' or not self.has_table(table_name, schema):
log.debug('Creating table "{}"'.format(table_name))
self._create_table_from_columns(table_name, columns, schema,
cartodbfy)
elif if_exists == 'fail':
raise Exception(
'Table "{schema}.{table_name}" already exists in your CARTO account. '
'Please choose a different `table_name` or use '
'if_exists="replace" to overwrite it.'.format(
table_name=table_name, schema=schema))
else: # 'append'
pass
self._copy_from(gdf, table_name, columns)
return table_name
def create_table_from_query(self,
query,
table_name,
if_exists,
cartodbfy=True):
schema = self.get_schema()
table_name = self.normalize_table_name(table_name)
if if_exists == 'replace' or not self.has_table(table_name, schema):
log.debug('Creating table "{}"'.format(table_name))
self._create_table_from_query(query, table_name, schema, cartodbfy)
elif if_exists == 'fail':
raise Exception(
'Table "{schema}.{table_name}" already exists in your CARTO account. '
'Please choose a different `table_name` or use '
'if_exists="replace" to overwrite it.'.format(
table_name=table_name, schema=schema))
else: # 'append'
pass
return table_name
def has_table(self, table_name, schema=None):
query = self.compute_query(table_name, schema)
return self._check_exists(query)
def delete_table(self, table_name):
query = _drop_table_query(table_name)
output = self.execute_query(query)
return not ('notices' in output
and 'does not exist' in output['notices'][0])
def rename_table(self, table_name, new_table_name, if_exists='fail'):
new_table_name = self.normalize_table_name(new_table_name)
if table_name == new_table_name:
raise ValueError(
'Table names are equal. Please choose a different table name.')
if not self.has_table(table_name):
raise Exception(
'Table "{table_name}" does not exist in your CARTO account.'.
format(table_name=table_name))
if self.has_table(new_table_name):
if if_exists == 'replace':
log.debug('Removing table "{}"'.format(new_table_name))
self.delete_table(new_table_name)
elif if_exists == 'fail':
raise Exception(
'Table "{new_table_name}" already exists in your CARTO account. '
'Please choose a different `new_table_name` or use '
'if_exists="replace" to overwrite it.'.format(
new_table_name=new_table_name))
self._rename_table(table_name, new_table_name)
return new_table_name
def update_privacy_table(self, table_name, privacy=None):
DatasetInfo(self.auth_client, table_name).update_privacy(privacy)
def get_privacy(self, table_name):
return DatasetInfo(self.auth_client, table_name).privacy
def get_schema(self):
"""Get user schema from current credentials"""
query = 'SELECT current_schema()'
result = self.execute_query(query, do_post=False)
return result['rows'][0]['current_schema']
def get_geom_type(self, query):
"""Fetch geom type of a remote table or query"""
distict_query = '''
SELECT distinct ST_GeometryType(the_geom) AS geom_type
FROM ({}) q
LIMIT 5
'''.format(query)
response = self.execute_query(distict_query, do_post=False)
if response and response.get('rows') and len(response.get('rows')) > 0:
st_geom_type = response.get('rows')[0].get('geom_type')
if st_geom_type:
return map_geom_type(st_geom_type[3:])
return None
def get_num_rows(self, query):
"""Get the number of rows in the query"""
result = self.execute_query(
"SELECT COUNT(*) FROM ({query}) _query".format(query=query))
return result.get('rows')[0].get('count')
def get_bounds(self, query):
extent_query = '''
SELECT ARRAY[
ARRAY[st_xmin(geom_env), st_ymin(geom_env)],
ARRAY[st_xmax(geom_env), st_ymax(geom_env)]
] bounds FROM (
SELECT ST_Extent(the_geom) geom_env
FROM ({}) q
) q;
'''.format(query)
response = self.execute_query(extent_query, do_post=False)
if response and response.get('rows') and len(response.get('rows')) > 0:
return response.get('rows')[0].get('bounds')
return None
def get_column_names(self, source, schema=None, exclude=None):
query = self.compute_query(source, schema)
columns = [c.name for c in self._get_query_columns_info(query)]
if exclude and isinstance(exclude, list):
columns = list(set(columns) - set(exclude))
return columns
def is_public(self, query):
# Used to detect public tables in queries in the publication,
# because privacy only works for tables.
public_auth_client = _create_auth_client(self.credentials, public=True)
public_sql_client = SQLClient(public_auth_client)
exists_query = 'EXPLAIN {}'.format(query)
try:
public_sql_client.send(exists_query, do_post=False)
return True
except CartoException:
return False
def get_table_names(self, query):
# Used to detect tables in queries in the publication.
query = 'SELECT CDB_QueryTablesText(\'{}\') as tables'.format(query)
result = self.execute_query(query)
tables = []
if result['total_rows'] > 0 and result['rows'][0]['tables']:
# Dataset_info only works with tables without schema
tables = [
table.split('.')[1] if '.' in table else table
for table in result['rows'][0]['tables']
]
return tables
def _create_table_from_query(self,
query,
table_name,
schema,
cartodbfy=True):
query = 'BEGIN; {drop}; {create}; {cartodbfy}; COMMIT;'.format(
drop=_drop_table_query(table_name),
create=_create_table_from_query_query(table_name, query),
cartodbfy=_cartodbfy_query(table_name, schema)
if cartodbfy else '')
self.execute_long_running_query(query)
def _create_table_from_columns(self,
table_name,
columns,
schema,
cartodbfy=True):
query = 'BEGIN; {drop}; {create}; {cartodbfy}; COMMIT;'.format(
drop=_drop_table_query(table_name),
create=_create_table_from_columns_query(table_name, columns),
cartodbfy=_cartodbfy_query(table_name, schema)
if cartodbfy else '')
self.execute_long_running_query(query)
def compute_query(self, source, schema=None):
if is_sql_query(source):
return source
schema = schema or self.get_schema()
return self._compute_query_from_table(source, schema)
def _compute_query_from_table(self, table_name, schema):
return 'SELECT * FROM "{schema}"."{table_name}"'.format(
schema=schema or 'public', table_name=table_name)
def _check_exists(self, query):
exists_query = 'EXPLAIN {}'.format(query)
try:
self.execute_query(exists_query, do_post=False)
return True
except CartoException:
return False
def _get_query_columns_info(self, query):
query = 'SELECT * FROM ({}) _q LIMIT 0'.format(query)
table_info = self.execute_query(query)
return Column.from_sql_api_fields(table_info['fields'])
def _get_copy_query(self, query, columns, limit):
query_columns = [
column.name for column in columns
if (column.name != 'the_geom_webmercator')
]
query = 'SELECT {columns} FROM ({query}) _q'.format(
query=query, columns=','.join(query_columns))
if limit is not None:
if isinstance(limit, int) and (limit >= 0):
query += ' LIMIT {limit}'.format(limit=limit)
else:
raise ValueError("`limit` parameter must an integer >= 0")
return query
def _copy_to(self, query, columns, retry_times):
copy_query = 'COPY ({0}) TO stdout WITH (FORMAT csv, HEADER true, NULL \'{1}\')'.format(
query, PG_NULL)
try:
raw_result = self.copy_client.copyto_stream(copy_query)
except CartoRateLimitException as err:
if retry_times > 0:
retry_times -= 1
warn('Read call rate limited. Waiting {s} seconds'.format(
s=err.retry_after))
time.sleep(err.retry_after)
warn('Retrying...')
return self._copy_to(query, columns, retry_times)
else:
warn((
'Read call was rate-limited. '
'This usually happens when there are multiple queries being read at the same time.'
))
raise err
converters = obtain_converters(columns)
parse_dates = date_columns_names(columns)
df = read_csv(raw_result,
converters=converters,
parse_dates=parse_dates)
return df
def _copy_from(self, dataframe, table_name, columns):
query = """
COPY {table_name}({columns}) FROM stdin WITH (FORMAT csv, DELIMITER '|', NULL '{null}');
""".format(table_name=table_name,
null=PG_NULL,
columns=','.join(column.dbname
for column in columns)).strip()
data = _compute_copy_data(dataframe, columns)
self.copy_client.copyfrom(query, data)
def _rename_table(self, table_name, new_table_name):
query = _rename_table_query(table_name, new_table_name)
self.execute_query(query)
def normalize_table_name(self, table_name):
norm_table_name = normalize_name(table_name)
if norm_table_name != table_name:
log.debug('Table name normalized: "{}"'.format(norm_table_name))
return norm_table_name
# This is a bit of a trick: we omit the sequences to avoid
# dependencies on other objects Normally this just affects the
# cartodb_id and can optionally be fixed by cartodbfy'ing
create_table_no_seqs = re.sub(r'DEFAULT nextval\([^\)]+\)', ' ', create_table)
logger.info(create_table_no_seqs)
# Create the table in the destination account
logger.info('Creating the table in the destination account...')
res = sql_dst_client.send(create_table_no_seqs)
logger.info('Response: {}'.format(res))
# Cartodbfy the table (this is optional)
logger.info("Cartodbfy'ing the destination table...")
res = sql_dst_client.send(
"SELECT CDB_CartodbfyTable(current_schema, '%s')" % TABLE_NAME
)
logger.info('Response: {}'.format(res))
# Create COPY clients
copy_src_client = CopySQLClient(auth_src_client)
copy_dst_client = CopySQLClient(auth_dst_client)
# COPY (streaming) the data from the source to the dest table. We use
# here all the COPY defaults. Note that we take the `response` from
# the `copyto`, which can be iterated, and we pipe it directly into
# the `copyfrom`.
logger.info("Streaming the data from source to destination...")
response = copy_src_client.copyto('COPY %s TO STDOUT' % TABLE_NAME)
result = copy_dst_client.copyfrom('COPY %s FROM STDIN' % TABLE_NAME, response)
logger.info('Result: {}'.format(result))
# This is a bit of a trick: we omit the sequences to avoid
# dependencies on other objects Normally this just affects the
# cartodb_id and can optionally be fixed by cartodbfy'ing
create_table_no_seqs = re.sub(r'DEFAULT nextval\([^\)]+\)', ' ', create_table)
logger.info(create_table_no_seqs)
# Create the table in the destination account
logger.info('Creating the table in the destination account...')
res = sql_dst_client.send(create_table_no_seqs)
logger.info('Response: {}'.format(res))
# Cartodbfy the table (this is optional)
logger.info("Cartodbfy'ing the destination table...")
res = sql_dst_client.send("SELECT CDB_CartodbfyTable(current_schema, '%s')" %
TABLE_NAME)
logger.info('Response: {}'.format(res))
# Create COPY clients
copy_src_client = CopySQLClient(auth_src_client)
copy_dst_client = CopySQLClient(auth_dst_client)
# COPY (streaming) the data from the source to the dest table. We use
# here all the COPY defaults. Note that we take the `response` from
# the `copyto`, which can be iterated, and we pipe it directly into
# the `copyfrom`.
logger.info("Streaming the data from source to destination...")
response = copy_src_client.copyto('COPY %s TO STDOUT' % TABLE_NAME)
result = copy_dst_client.copyfrom('COPY %s FROM STDIN' % TABLE_NAME, response)
logger.info('Result: {}'.format(result))
ref = raw_to_masked_float(ref_var, ref_data)
lat, lon = offset_by_meters(
data.StationLatitude, data.StationLongitude, rng, az)
logger.info('Done')
# This generator builds the rows without needing to buffer all of them
# in memory. Alternatively a StringIO (python2) or a BytesIO
# (python3) buffer could be used.
def rows():
for ix, iy in np.ndindex(ref.shape):
value = ref[ix, iy]
if value is np.ma.masked:
continue
row = u'SRID=4326;POINT({lon} {lat}),{reflectivity}\n'.format(
lon=lon[ix, iy],
lat=lat[ix, iy],
reflectivity=value
)
yield row.encode()
# And finally stream the data to CARTO
logger.info('Executing COPY command...')
result = copy_client.copyfrom(
('COPY nexrad_copy_example(the_geom, reflectivity)'
' FROM stdin WITH (FORMAT csv)'),
rows())
logger.info(result)
class ContextManager:
def __init__(self, credentials):
self.credentials = credentials or get_default_credentials()
check_credentials(self.credentials)
self.auth_client = _create_auth_client(self.credentials)
self.sql_client = SQLClient(self.auth_client)
self.copy_client = CopySQLClient(self.auth_client)
self.batch_sql_client = BatchSQLClient(self.auth_client)
@not_found
def execute_query(self,
query,
parse_json=True,
do_post=True,
format=None,
**request_args):
return self.sql_client.send(query.strip(), parse_json, do_post, format,
**request_args)
@not_found
def execute_long_running_query(self, query):
return self.batch_sql_client.create_and_wait_for_completion(
query.strip())
def copy_to(self,
source,
schema=None,
limit=None,
retry_times=DEFAULT_RETRY_TIMES):
query = self.compute_query(source, schema)
columns = self._get_query_columns_info(query)
copy_query = self._get_copy_query(query, columns, limit)
return self._copy_to(copy_query, columns, retry_times)
def copy_from(self,
gdf,
table_name,
if_exists='fail',
cartodbfy=True,
retry_times=DEFAULT_RETRY_TIMES):
schema = self.get_schema()
table_name = self.normalize_table_name(table_name)
df_columns = get_dataframe_columns_info(gdf)
if self.has_table(table_name, schema):
if if_exists == 'replace':
table_query = self._compute_query_from_table(
table_name, schema)
table_columns = self._get_query_columns_info(table_query)
if self._compare_columns(df_columns, table_columns):
# Equal columns: truncate table
self._truncate_table(table_name, schema, cartodbfy)
else:
# Diff columns: truncate table and drop + add columns
self._truncate_and_drop_add_columns(
table_name, schema, df_columns, table_columns,
cartodbfy)
elif if_exists == 'fail':
raise Exception(
'Table "{schema}.{table_name}" already exists in your CARTO account. '
'Please choose a different `table_name` or use '
'if_exists="replace" to overwrite it.'.format(
table_name=table_name, schema=schema))
else: # 'append'
pass
else:
self._create_table_from_columns(table_name, schema, df_columns,
cartodbfy)
self._copy_from(gdf, table_name, df_columns, retry_times)
return table_name
def create_table_from_query(self,
query,
table_name,
if_exists,
cartodbfy=True):
schema = self.get_schema()
table_name = self.normalize_table_name(table_name)
if self.has_table(table_name, schema):
if if_exists == 'replace':
# TODO: review logic copy_from
self._drop_create_table_from_query(table_name, schema, query,
cartodbfy)
elif if_exists == 'fail':
raise Exception(
'Table "{schema}.{table_name}" already exists in your CARTO account. '
'Please choose a different `table_name` or use '
'if_exists="replace" to overwrite it.'.format(
table_name=table_name, schema=schema))
else: # 'append'
pass
else:
self._drop_create_table_from_query(table_name, schema, query,
cartodbfy)
return table_name
def list_tables(self, schema=None):
datasets = DatasetManager(self.auth_client).filter(
show_table_size_and_row_count='false',
show_table='false',
show_stats='false',
show_likes='false',
show_liked='false',
show_permission='false',
show_uses_builder_features='false',
show_synchronization='false',
load_totals='false')
datasets.sort(key=lambda x: x.updated_at, reverse=True)
return pd.DataFrame([dataset.name for dataset in datasets],
columns=['tables'])
def has_table(self, table_name, schema=None):
query = self.compute_query(table_name, schema)
return self._check_exists(query)
def delete_table(self, table_name):
query = _drop_table_query(table_name)
output = self.execute_query(query)
return not ('notices' in output
and 'does not exist' in output['notices'][0])
def rename_table(self, table_name, new_table_name, if_exists='fail'):
new_table_name = self.normalize_table_name(new_table_name)
if table_name == new_table_name:
raise ValueError(
'Table names are equal. Please choose a different table name.')
if not self.has_table(table_name):
raise Exception(
'Table "{table_name}" does not exist in your CARTO account.'.
format(table_name=table_name))
if self.has_table(new_table_name):
if if_exists == 'replace':
log.debug('Removing table "{}"'.format(new_table_name))
self.delete_table(new_table_name)
elif if_exists == 'fail':
raise Exception(
'Table "{new_table_name}" already exists in your CARTO account. '
'Please choose a different `new_table_name` or use '
'if_exists="replace" to overwrite it.'.format(
new_table_name=new_table_name))
self._rename_table(table_name, new_table_name)
return new_table_name
def update_privacy_table(self, table_name, privacy=None):
DatasetInfo(self.auth_client, table_name).update_privacy(privacy)
def get_privacy(self, table_name):
return DatasetInfo(self.auth_client, table_name).privacy
def get_schema(self):
"""Get user schema from current credentials"""
query = 'SELECT current_schema()'
result = self.execute_query(query, do_post=False)
schema = result['rows'][0]['current_schema']
log.debug('schema: {}'.format(schema))
return schema
def get_geom_type(self, query):
"""Fetch geom type of a remote table or query"""
distict_query = '''
SELECT distinct ST_GeometryType(the_geom) AS geom_type
FROM ({}) q
LIMIT 5
'''.format(query)
response = self.execute_query(distict_query, do_post=False)
if response and response.get('rows') and len(response.get('rows')) > 0:
st_geom_type = response.get('rows')[0].get('geom_type')
if st_geom_type:
return map_geom_type(st_geom_type[3:])
return None
def get_num_rows(self, query):
"""Get the number of rows in the query"""
result = self.execute_query(
'SELECT COUNT(*) FROM ({query}) _query'.format(query=query))
return result.get('rows')[0].get('count')
def get_bounds(self, query):
extent_query = '''
SELECT ARRAY[
ARRAY[st_xmin(geom_env), st_ymin(geom_env)],
ARRAY[st_xmax(geom_env), st_ymax(geom_env)]
] bounds FROM (
SELECT ST_Extent(the_geom) geom_env
FROM ({}) q
) q;
'''.format(query)
response = self.execute_query(extent_query, do_post=False)
if response and response.get('rows') and len(response.get('rows')) > 0:
return response.get('rows')[0].get('bounds')
return None
def get_column_names(self, source, schema=None, exclude=None):
query = self.compute_query(source, schema)
columns = [c.name for c in self._get_query_columns_info(query)]
if exclude and isinstance(exclude, list):
columns = list(set(columns) - set(exclude))
return columns
def is_public(self, query):
# Used to detect public tables in queries in the publication,
# because privacy only works for tables.
public_auth_client = _create_auth_client(self.credentials, public=True)
public_sql_client = SQLClient(public_auth_client)
exists_query = 'EXPLAIN {}'.format(query)
try:
public_sql_client.send(exists_query, do_post=False)
return True
except CartoException:
return False
def get_table_names(self, query):
# Used to detect tables in queries in the publication.
query = 'SELECT CDB_QueryTablesText($q${}$q$) as tables'.format(query)
result = self.execute_query(query)
tables = []
if result['total_rows'] > 0 and result['rows'][0]['tables']:
# Dataset_info only works with tables without schema
tables = [
table.split('.')[1] if '.' in table else table
for table in result['rows'][0]['tables']
]
return tables
def _compare_columns(self, a, b):
a_copy = [i for i in a if _not_reserved(i.name)]
b_copy = [i for i in b if _not_reserved(i.name)]
a_copy.sort()
b_copy.sort()
return a_copy == b_copy
def _drop_create_table_from_query(self, table_name, schema, query,
cartodbfy):
log.debug('DROP + CREATE table "{}"'.format(table_name))
query = 'BEGIN; {drop}; {create}; {cartodbfy}; COMMIT;'.format(
drop=_drop_table_query(table_name),
create=_create_table_from_query_query(table_name, query),
cartodbfy=_cartodbfy_query(table_name, schema)
if cartodbfy else '')
self.execute_long_running_query(query)
def _create_table_from_columns(self, table_name, schema, columns,
cartodbfy):
log.debug('CREATE table "{}"'.format(table_name))
query = 'BEGIN; {create}; {cartodbfy}; COMMIT;'.format(
create=_create_table_from_columns_query(table_name, columns),
cartodbfy=_cartodbfy_query(table_name, schema)
if cartodbfy else '')
self.execute_long_running_query(query)
def _truncate_table(self, table_name, schema, cartodbfy):
log.debug('TRUNCATE table "{}"'.format(table_name))
query = 'BEGIN; {truncate}; {cartodbfy}; COMMIT;'.format(
truncate=_truncate_table_query(table_name),
cartodbfy=_cartodbfy_query(table_name, schema)
if cartodbfy else '')
self.execute_long_running_query(query)
def _truncate_and_drop_add_columns(self, table_name, schema, df_columns,
table_columns, cartodbfy):
log.debug(
'TRUNCATE AND DROP + ADD columns table "{}"'.format(table_name))
query = '{regenerate}; BEGIN; {truncate}; {drop_columns}; {add_columns}; {cartodbfy}; COMMIT;'.format(
regenerate=_regenerate_table_query(table_name, schema)
if self._check_regenerate_table_exists() else '',
truncate=_truncate_table_query(table_name),
drop_columns=_drop_columns_query(table_name, table_columns),
add_columns=_add_columns_query(table_name, df_columns),
cartodbfy=_cartodbfy_query(table_name, schema)
if cartodbfy else '')
self.execute_long_running_query(query)
def compute_query(self, source, schema=None):
if is_sql_query(source):
return source
schema = schema or self.get_schema()
return self._compute_query_from_table(source, schema)
def _compute_query_from_table(self, table_name, schema):
return 'SELECT * FROM "{schema}"."{table_name}"'.format(
schema=schema or 'public', table_name=table_name)
def _check_exists(self, query):
exists_query = 'EXPLAIN {}'.format(query)
try:
self.execute_query(exists_query, do_post=False)
return True
except CartoException:
return False
def _check_regenerate_table_exists(self):
query = '''
SELECT 1
FROM pg_catalog.pg_proc p
LEFT JOIN pg_catalog.pg_namespace n ON n.oid = p.pronamespace
WHERE p.proname = 'cdb_regeneratetable' AND n.nspname = 'cartodb';
'''
result = self.execute_query(query)
return len(result['rows']) > 0
def _get_query_columns_info(self, query):
query = 'SELECT * FROM ({}) _q LIMIT 0'.format(query)
table_info = self.execute_query(query)
return get_query_columns_info(table_info['fields'])
def _get_copy_query(self, query, columns, limit):
query_columns = [
double_quote(column.name) for column in columns
if (column.name != 'the_geom_webmercator')
]
query = 'SELECT {columns} FROM ({query}) _q'.format(
query=query, columns=','.join(query_columns))
if limit is not None:
if isinstance(limit, int) and (limit >= 0):
query += ' LIMIT {limit}'.format(limit=limit)
else:
raise ValueError("`limit` parameter must an integer >= 0")
return query
@retry_copy
def _copy_to(self, query, columns, retry_times=DEFAULT_RETRY_TIMES):
log.debug('COPY TO')
copy_query = "COPY ({0}) TO stdout WITH (FORMAT csv, HEADER true, NULL '{1}')".format(
query, PG_NULL)
raw_result = self.copy_client.copyto_stream(copy_query)
converters = obtain_converters(columns)
parse_dates = date_columns_names(columns)
df = pd.read_csv(raw_result,
converters=converters,
parse_dates=parse_dates)
return df
@retry_copy
def _copy_from(self,
dataframe,
table_name,
columns,
retry_times=DEFAULT_RETRY_TIMES):
log.debug('COPY FROM')
query = """
COPY {table_name}({columns}) FROM stdin WITH (FORMAT csv, DELIMITER '|', NULL '{null}');
""".format(table_name=table_name,
null=PG_NULL,
columns=','.join(
double_quote(column.dbname)
for column in columns)).strip()
data = _compute_copy_data(dataframe, columns)
self.copy_client.copyfrom(query, data)
def _rename_table(self, table_name, new_table_name):
query = _rename_table_query(table_name, new_table_name)
self.execute_query(query)
def normalize_table_name(self, table_name):
norm_table_name = normalize_name(table_name)
if norm_table_name != table_name:
log.debug('Table name normalized: "{}"'.format(norm_table_name))
return norm_table_name