def test_custom_table_publish_null_in_int_column(self, mock_session_helper,
mock_create_custom_table):
with get_s3_client() as s3_client:
dataframe, custom_redshift_columns = setup_custom_redshift_columns_and_dataframe_with_null(
)
bucket, key = self.setup_s3(s3_client)
partitions = []
redshift_params = self.setup_redshift_params()
msh = mock_session_helper(region=redshift_params['region'],
cluster_id=redshift_params['cluster_id'],
host=redshift_params['host'],
port=redshift_params['port'],
db_name=redshift_params['db_name'])
msh.configure_session_helper()
parq.custom_publish(
bucket=bucket,
key=key,
dataframe=dataframe,
partitions=partitions,
redshift_params=redshift_params,
custom_redshift_columns=custom_redshift_columns)
mock_create_custom_table.assert_called_once_with(
redshift_params['table_name'],
redshift_params['schema_name'], partitions,
parq.s3_url(bucket, key), custom_redshift_columns, msh)
def test_custom_table_publish_mixed_type_column(self, mock_session_helper,
mock_create_custom_table):
dataframe, custom_redshift_columns = setup_custom_redshift_columns_and_dataframe(
)
bucket, key = self.setup_s3()
partitions = []
redshift_params = self.setup_redshift_params()
msh = mock_session_helper(region=redshift_params['region'],
cluster_id=redshift_params['cluster_id'],
host=redshift_params['host'],
port=redshift_params['port'],
db_name=redshift_params['db_name'])
msh.configure_session_helper()
dataframe.iat[1, dataframe.columns.get_loc("colA")] = 45
parq.custom_publish(bucket=bucket,
key=key,
dataframe=dataframe,
partitions=partitions,
redshift_params=redshift_params,
custom_redshift_columns=custom_redshift_columns)
mock_create_custom_table.assert_called_once_with(
redshift_params['table_name'], redshift_params['schema_name'],
partitions, parq.s3_url(bucket, key), custom_redshift_columns, msh)
def test_custom_publish_set_metadata_correctly(self):
with get_s3_client() as s3_client:
dataframe, custom_redshift_columns = setup_custom_redshift_columns_and_dataframe(
)
bucket, key = self.setup_s3(s3_client)
s3_client = boto3.client('s3')
partitions = ['colA', 'colB', 'colC', 'colD', 'colF']
parq.custom_publish(
bucket=bucket,
key=key,
dataframe=dataframe,
partitions=partitions,
custom_redshift_columns=custom_redshift_columns)
for obj in s3_client.list_objects(Bucket=bucket)['Contents']:
if obj['Key'].endswith(".parquet"):
meta = s3_client.get_object(Bucket=bucket,
Key=obj['Key'])['Metadata']
assert meta['partition_data_types'] == str({
"colA":
"string",
"colB":
"integer",
"colC":
"float",
"colD":
"decimal",
"colF":
"boolean"
})
def test_custom_publish_no_redshift_publish(self):
dataframe, custom_redshift_columns = setup_custom_redshift_columns_and_dataframe(
)
bucket, key = self.setup_s3()
partitions = []
parq.custom_publish(bucket=bucket,
key=key,
dataframe=dataframe,
partitions=partitions,
custom_redshift_columns=custom_redshift_columns)
def test_custom_publish_works_without_partitions(self):
with get_s3_client() as s3_client:
dataframe, custom_redshift_columns = setup_custom_redshift_columns_and_dataframe(
)
bucket, key = self.setup_s3(s3_client)
partitions = []
parq.custom_publish(
bucket=bucket,
key=key,
dataframe=dataframe,
partitions=partitions,
custom_redshift_columns=custom_redshift_columns)
def test_custom_publish_reject_timedelta_dataframes(self):
dataframe, custom_redshift_columns = setup_custom_redshift_columns_and_dataframe(
)
bucket, key = self.setup_s3()
partitions = ['colA']
dataframe['time_col'] = pd.Timedelta('1 days')
with pytest.raises(NotImplementedError):
parq.custom_publish(
bucket=bucket,
key=key,
dataframe=dataframe,
partitions=partitions,
custom_redshift_columns=custom_redshift_columns)
def test_custom_publish_reject_empty_dataframe(self):
dataframe = pd.DataFrame()
custom_redshift_columns = setup_custom_redshift_columns_and_dataframe(
)[1]
bucket, key = self.setup_s3()
s3_path = f"s3://{bucket}/{key}"
with pytest.raises(ValueError):
parq.custom_publish(
bucket=bucket,
key=key,
dataframe=dataframe,
partitions=[],
custom_redshift_columns=custom_redshift_columns)
def test_custom_publish_input_equals_output(self):
dataframe, custom_redshift_columns = setup_custom_redshift_columns_and_dataframe(
)
bucket, key = self.setup_s3()
s3_path = f"s3://{bucket}/{key}"
partitions = [dataframe.columns[0]]
parq.custom_publish(bucket=bucket,
key=key,
dataframe=dataframe,
partitions=partitions,
custom_redshift_columns=custom_redshift_columns)
from_s3 = pq.ParquetDataset(s3_path, filesystem=s3fs.S3FileSystem())
s3pd = from_s3.read().to_pandas()
# Switch partition type back -> by default it gets set to a category
s3pd[partitions[0]] = s3pd[partitions[0]].astype(
dataframe[partitions[0]].dtype)
sorted_dfs_equal_by_pandas_testing(dataframe, s3pd)
def test_custom_publish_schema_publish(self, mock_session_helper,
mock_create_schema):
dataframe, custom_redshift_columns = setup_custom_redshift_columns_and_dataframe(
)
bucket, key = self.setup_s3()
partitions = [dataframe.columns[0]]
redshift_params = self.setup_redshift_params()
msh = mock_session_helper(region=redshift_params['region'],
cluster_id=redshift_params['cluster_id'],
host=redshift_params['host'],
port=redshift_params['port'],
db_name=redshift_params['db_name'])
msh.configure_session_helper()
parq.custom_publish(bucket=bucket,
key=key,
dataframe=dataframe,
partitions=partitions,
redshift_params=redshift_params,
custom_redshift_columns=custom_redshift_columns)
mock_create_schema.assert_called_once_with(
redshift_params['schema_name'], redshift_params['db_name'],
redshift_params['iam_role'], msh)
