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#
# Copyright (c) 2012-2023 Snowflake Computing Inc. All rights reserved.
#
from snowflake.sqlalchemy import (
AzureContainer,
CreateFileFormat,
CreateStage,
CSVFormatter,
ExternalStage,
PARQUETFormatter,
)
def test_create_stage(sql_compiler):
"""
This test compiles the SQL to create a named stage, by defining the stage naming
information (namespace and name) and the physical storage information (here: an
Azure container), and combining them in a CreateStage object
NB: The test only validates that the correct SQL is generated. It does not
execute the SQL (yet) against an actual Snowflake instance.
"""
# define the stage name
stage = ExternalStage(
name="AZURE_STAGE",
namespace="MY_DB.MY_SCHEMA",
)
# define the storage container
container = AzureContainer(
account="myaccount", container="my-container"
).credentials("saas_token")
# define the stage object
create_stage = CreateStage(stage=stage, container=container)
# validate that the resulting SQL is as expected
actual = sql_compiler(create_stage)
expected = (
"CREATE STAGE MY_DB.MY_SCHEMA.AZURE_STAGE "
"URL='azure://myaccount.blob.core.windows.net/my-container' "
"CREDENTIALS=(AZURE_SAS_TOKEN='saas_token')"
)
assert actual == expected
create_stage_replace = CreateStage(
stage=stage, container=container, replace_if_exists=True
)
# validate that the resulting SQL is as expected
actual = sql_compiler(create_stage_replace)
expected = (
"CREATE OR REPLACE STAGE MY_DB.MY_SCHEMA.AZURE_STAGE "
"URL='azure://myaccount.blob.core.windows.net/my-container' "
"CREDENTIALS=(AZURE_SAS_TOKEN='saas_token')"
)
assert actual == expected
create_stage = CreateStage(stage=stage, container=container, temporary=True)
# validate that the resulting SQL is as expected
actual = sql_compiler(create_stage)
expected = (
"CREATE TEMPORARY STAGE MY_DB.MY_SCHEMA.AZURE_STAGE "
"URL='azure://myaccount.blob.core.windows.net/my-container' "
"CREDENTIALS=(AZURE_SAS_TOKEN='saas_token')"
)
assert actual == expected
def test_create_csv_format(sql_compiler):
"""
This test compiles the SQL to create a named CSV format. The format is defined
using a name and a formatter object with the detailed formatting information.
TODO: split name parameters into namespace and actual name
NB: The test only validates that the correct SQL is generated. It does not
execute the SQL (yet) against an actual Snowflake instance.
"""
create_format = CreateFileFormat(
format_name="ML_POC.PUBLIC.CSV_FILE_FORMAT",
formatter=CSVFormatter().field_delimiter(","),
)
actual = sql_compiler(create_format)
expected = (
"CREATE FILE FORMAT ML_POC.PUBLIC.CSV_FILE_FORMAT "
"TYPE='csv' FIELD_DELIMITER = ','"
)
assert actual == expected
create_format_replace = CreateFileFormat(
format_name="ML_POC.PUBLIC.CSV_FILE_FORMAT",
formatter=CSVFormatter().field_delimiter(","),
replace_if_exists=True,
)
actual = sql_compiler(create_format_replace)
expected = (
"CREATE OR REPLACE FILE FORMAT ML_POC.PUBLIC.CSV_FILE_FORMAT "
"TYPE='csv' FIELD_DELIMITER = ','"
)
assert actual == expected
def test_create_parquet_format(sql_compiler):
"""
This test compiles the SQL to create a named Parquet format. The format is defined
using a name and a formatter object with the detailed formatting information.
TODO: split name parameters into namespace and actual name
NB: The test only validates that the correct SQL is generated. It does not
execute the SQL (yet) against an actual Snowflake instance.
"""
create_format = CreateFileFormat(
format_name="ML_POC.PUBLIC.CSV_FILE_FORMAT",
formatter=PARQUETFormatter().compression("AUTO"),
)
actual = sql_compiler(create_format)
expected = (
"CREATE FILE FORMAT ML_POC.PUBLIC.CSV_FILE_FORMAT "
"TYPE='parquet' COMPRESSION = 'AUTO'"
)
assert actual == expected
create_format_replace = CreateFileFormat(
format_name="ML_POC.PUBLIC.CSV_FILE_FORMAT",
formatter=PARQUETFormatter().compression("AUTO"),
replace_if_exists=True,
)
actual = sql_compiler(create_format_replace)
expected = (
"CREATE OR REPLACE FILE FORMAT ML_POC.PUBLIC.CSV_FILE_FORMAT "
"TYPE='parquet' COMPRESSION = 'AUTO'"
)
assert actual == expected