def _get_iterator(self, generator_asset, query_parameters=None, limit=None, offset=None, partition_id=None):
batch_kwargs = None
# First, we check if we have a configured asset
if generator_asset in self._assets:
asset_config = self._assets[generator_asset]
try:
if query_parameters is None:
query_parameters = {}
table_name = Template(asset_config.table).substitute(query_parameters)
schema_name = None
if asset_config.schema is not None:
schema_name = Template(asset_config.schema).substitute(query_parameters)
except KeyError:
raise BatchKwargsError("Unable to generate batch kwargs for asset '" + generator_asset + "': "
"missing template key",
{"generator_asset": generator_asset,
"table_template": asset_config.table,
"schema_template": asset_config.schema}
)
batch_kwargs = SqlAlchemyDatasourceTableBatchKwargs(table=table_name, schema=schema_name)
# If this is not a manually configured asset, we fall back to inspection of the database
elif self.engine is not None and self.inspector is not None:
split_generator_asset = generator_asset.split(".")
if len(split_generator_asset) == 2:
schema_name = split_generator_asset[0]
table_name = split_generator_asset[1]
elif len(split_generator_asset) == 1:
schema_name = self.inspector.default_schema_name
table_name = split_generator_asset[0]
else:
raise ValueError("Table name must be of shape '[SCHEMA.]TABLE'. Passed: " + split_generator_asset)
tables = self.inspector.get_table_names(schema=schema_name)
try:
tables.extend(self.inspector.get_view_names(schema=schema_name))
except NotImplementedError:
# Not implemented by bigquery dialect
pass
if table_name in tables:
batch_kwargs = SqlAlchemyDatasourceTableBatchKwargs(table=table_name, schema=schema_name)
if batch_kwargs is not None:
if partition_id is not None:
logger.warning("table_generator cannot identify partitions; provided partition id will be recorded "
"only")
batch_kwargs['partition_id'] = partition_id
if limit is not None:
batch_kwargs['limit'] = limit
if offset is not None:
batch_kwargs['offset'] = offset
return iter([batch_kwargs])
# Otherwise, we return None
return
def _get_iterator(self, generator_asset, **kwargs):
# First, we check if we have a configured asset
if generator_asset in self._assets:
asset_config = self._assets[generator_asset]
try:
table_name = Template(asset_config.table).substitute(kwargs)
schema_name = None
if asset_config.schema is not None:
schema_name = Template(
asset_config.schema).substitute(kwargs)
except KeyError:
raise BatchKwargsError(
"Unable to generate batch kwargs for asset '" +
generator_asset + "': "
"missing template key", {
"generator_asset": generator_asset,
"table_template": asset_config.table,
"schema_template": asset_config.schema
})
return iter([
SqlAlchemyDatasourceTableBatchKwargs(table=table_name,
schema=schema_name)
])
# If this is not a manually configured asset, we fall back to inspection of the database
elif self.engine is not None and self.inspector is not None:
split_generator_asset = generator_asset.split(".")
if len(split_generator_asset) == 2:
schema_name = split_generator_asset[0]
table_name = split_generator_asset[1]
elif len(split_generator_asset) == 1:
schema_name = self.inspector.default_schema_name
table_name = split_generator_asset[0]
else:
raise ValueError(
"Table name must be of shape '[SCHEMA.]TABLE'. Passed: " +
split_generator_asset)
tables = self.inspector.get_table_names(schema=schema_name)
tables.extend(self.inspector.get_view_names(schema=schema_name))
if table_name in tables:
return iter([
SqlAlchemyDatasourceTableBatchKwargs(
table=table_name,
schema=schema_name,
)
])
def _get_iterator(
self,
data_asset_name,
query_parameters=None,
limit=None,
offset=None,
partition_id=None,
):
batch_kwargs = None
# First, we check if we have a configured asset
if data_asset_name in self._assets:
asset_config = self._assets[data_asset_name]
try:
if query_parameters is None:
query_parameters = {}
table_name = Template(
asset_config.table).substitute(query_parameters)
schema_name = None
if asset_config.schema is not None:
schema_name = Template(
asset_config.schema).substitute(query_parameters)
except KeyError:
raise BatchKwargsError(
"Unable to generate batch kwargs for asset '" +
data_asset_name + "': "
"missing template key",
{
"data_asset_name": data_asset_name,
"table_template": asset_config.table,
"schema_template": asset_config.schema,
},
)
batch_kwargs = SqlAlchemyDatasourceTableBatchKwargs(
table=table_name, schema=schema_name)
# If this is not a manually configured asset, we fall back to inspection of the database
elif self.engine is not None and self.inspector is not None:
project_id = None
schema_name = None
split_data_asset_name = data_asset_name.split(".")
if len(split_data_asset_name) == 2:
schema_name = split_data_asset_name[0]
if self.engine.dialect.name.lower() == "bigquery":
table_name = data_asset_name
else:
table_name = split_data_asset_name[1]
elif len(split_data_asset_name) == 1:
schema_name = self.inspector.default_schema_name
table_name = split_data_asset_name[0]
elif (len(split_data_asset_name) == 3
and self.engine.dialect.name.lower() == "bigquery"):
project_id = split_data_asset_name[0]
schema_name = split_data_asset_name[1]
table_name = data_asset_name
else:
shape = "[SCHEMA.]TABLE"
if self.engine.dialect.name.lower() == "bigquery":
shape = f"[PROJECT_ID.]{shape}"
raise ValueError(
"Table name must be of shape '{}'. Passed: {}".format(
shape, split_data_asset_name))
try:
has_table = self.inspector.has_table
except AttributeError:
has_table = self.engine.has_table
if has_table(table_name, schema=schema_name):
batch_kwargs = SqlAlchemyDatasourceTableBatchKwargs(
table=table_name, schema=schema_name)
else:
raise BatchKwargsError(
"TableBatchKwargsGenerator cannot access the following data:"
f"SCHEMA : {schema_name}"
f"TABLE : {table_name}",
{},
)
if batch_kwargs is not None:
if partition_id is not None:
logger.warning(
"table_generator cannot identify partitions; provided partition id will be recorded "
"only")
batch_kwargs["partition_id"] = partition_id
if limit is not None:
batch_kwargs["limit"] = limit
if offset is not None:
batch_kwargs["offset"] = offset
return iter([batch_kwargs])
# Otherwise, we return None
return