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Added fixture to delete all files

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This commit is contained in:
Smita Kulkarni 2023-09-25 14:08:05 +02:00
parent fab4594ccb
commit b142756c5d
1 changed files with 25 additions and 9 deletions
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34
tests/integration/test_storage_azure_blob_storage/test.py
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@ -92,6 +92,22 @@ def put_azure_file_content(filename, data):
buf = io.BytesIO(data)
blob_client.upload_blob(buf)
@pytest.fixture(autouse=True, scope="function")
def delete_all_files():
connection_string = "DefaultEndpointsProtocol=http;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=http://127.0.0.1:10000/devstoreaccount1;"
blob_service_client = BlobServiceClient.from_connection_string(connection_string)
containers = blob_service_client.list_containers()
for container in containers:
container_client = blob_service_client.get_container_client(container)
blob_list = container_client.list_blobs()
for blob in blob_list:
print(blob)
blob_client = container_client.get_blob_client(blob)
blob_client.delete_blob()
assert (len(list(container_client.list_blobs())) == 0)
yield
def test_create_table_connection_string(cluster):
node = cluster.instances["node"]
@ -448,7 +464,7 @@ def test_schema_inference_from_globs(cluster):
max_path = ""
for i in range(10):
for j in range(10):
path = "{}/{}_{}/{}_schema.csv".format(
path = "{}/{}_{}/{}.csv".format(
unique_prefix, i, random.choice(["a", "b", "c", "d"]), j
)
max_path = max(path, max_path)
@ -464,14 +480,14 @@ def test_schema_inference_from_globs(cluster):
azure_query(
node,
f"CREATE TABLE test_glob_select_inference Engine = AzureBlobStorage(azure_conf2, container='cont', blob_path='{unique_prefix}/*_{{a,b,c,d}}/*_schema.csv')",
f"CREATE TABLE test_glob_select_inference Engine = AzureBlobStorage(azure_conf2, container='cont', blob_path='{unique_prefix}/*_{{a,b,c,d}}/?.csv')",
)
print(node.query("SHOW CREATE TABLE test_glob_select_inference"))
query = "select sum(column1), sum(column2), sum(column3), min(_file), max(_path) from test_glob_select_inference"
assert azure_query(node, query).splitlines() == [
"450\t450\t900\t0_schema.csv\t{bucket}/{max_path}".format(
"450\t450\t900\t0.csv\t{bucket}/{max_path}".format(
bucket="cont", max_path=max_path
)
]
@ -536,7 +552,7 @@ def test_put_get_with_globs_tf(cluster):
max_path = ""
for i in range(10):
for j in range(10):
path = "{}/{}_{}/{}_tf.csv".format(
path = "{}/{}_{}/{}.csv".format(
unique_prefix, i, random.choice(["a", "b", "c", "d"]), j
)
max_path = max(path, max_path)
@ -546,9 +562,9 @@ def test_put_get_with_globs_tf(cluster):
node,
f"INSERT INTO TABLE FUNCTION azureBlobStorage(azure_conf2, container='cont', blob_path='{path}', format='CSV', compression='auto', structure='{table_format}') VALUES {values}",
)
query = f"select sum(column1), sum(column2), sum(column3), min(_file), max(_path) from azureBlobStorage(azure_conf2, container='cont', blob_path='{unique_prefix}/*_{{a,b,c,d}}/*_tf.csv', format='CSV', structure='{table_format}')"
query = f"select sum(column1), sum(column2), sum(column3), min(_file), max(_path) from azureBlobStorage(azure_conf2, container='cont', blob_path='{unique_prefix}/*_{{a,b,c,d}}/?.csv', format='CSV', structure='{table_format}')"
assert azure_query(node, query).splitlines() == [
"450\t450\t900\t0_tf.csv\t{bucket}/{max_path}".format(
"450\t450\t900\t0.csv\t{bucket}/{max_path}".format(
bucket="cont", max_path=max_path
)
]
@ -576,7 +592,7 @@ def test_schema_inference_from_globs_tf(cluster):
for i in range(10):
for j in range(10):
path = "{}/{}_{}/{}_schema_tf.csv".format(
path = "{}/{}_{}/{}.csv".format(
unique_prefix, i, random.choice(["a", "b", "c", "d"]), j
)
max_path = max(path, max_path)
@ -585,9 +601,9 @@ def test_schema_inference_from_globs_tf(cluster):
query = f"insert into table function azureBlobStorage(azure_conf2, container='cont', blob_path='{path}', format='CSVWithNames', structure='{table_format}') VALUES {values}"
azure_query(node, query)
query = f"select sum(column1), sum(column2), sum(column3), min(_file), max(_path) from azureBlobStorage(azure_conf2, container='cont', blob_path='{unique_prefix}/*_{{a,b,c,d}}/*_schema_tf.csv')"
query = f"select sum(column1), sum(column2), sum(column3), min(_file), max(_path) from azureBlobStorage(azure_conf2, container='cont', blob_path='{unique_prefix}/*_{{a,b,c,d}}/?.csv')"
assert azure_query(node, query).splitlines() == [
"450\t450\t900\t0_schema_tf.csv\t{bucket}/{max_path}".format(
"450\t450\t900\t0.csv\t{bucket}/{max_path}".format(
bucket="cont", max_path=max_path
)
]