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https://github.com/datahub-project/datahub.git
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1147 lines
41 KiB
Python
1147 lines
41 KiB
Python
from datetime import datetime
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from typing import List
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from unittest import mock
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import pytest
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import sqlglot
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from freezegun import freeze_time
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from pyathena import OperationalError
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from sqlalchemy import types
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from sqlalchemy_bigquery import STRUCT
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from sqlglot.dialects import Athena
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from datahub.ingestion.api.common import PipelineContext
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from datahub.ingestion.source.aws.s3_util import make_s3_urn
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from datahub.ingestion.source.sql.athena import (
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AthenaConfig,
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AthenaSource,
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CustomAthenaRestDialect,
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Partitionitem,
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)
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from datahub.metadata.schema_classes import (
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ArrayTypeClass,
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BooleanTypeClass,
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MapTypeClass,
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StringTypeClass,
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)
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from datahub.utilities.sqlalchemy_type_converter import MapType
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FROZEN_TIME = "2020-04-14 07:00:00"
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def test_athena_config_query_location_old_plus_new_value_not_allowed():
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from datahub.ingestion.source.sql.athena import AthenaConfig
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with pytest.raises(ValueError):
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AthenaConfig.parse_obj(
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{
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"aws_region": "us-west-1",
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"s3_staging_dir": "s3://sample-staging-dir/",
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"query_result_location": "s3://query_result_location",
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"work_group": "test-workgroup",
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}
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)
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def test_athena_config_staging_dir_is_set_as_query_result():
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from datahub.ingestion.source.sql.athena import AthenaConfig
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config = AthenaConfig.parse_obj(
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{
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"aws_region": "us-west-1",
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"s3_staging_dir": "s3://sample-staging-dir/",
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"work_group": "test-workgroup",
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}
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)
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expected_config = AthenaConfig.parse_obj(
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{
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"aws_region": "us-west-1",
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"query_result_location": "s3://sample-staging-dir/",
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"work_group": "test-workgroup",
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}
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)
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assert config.json() == expected_config.json()
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def test_athena_uri():
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from datahub.ingestion.source.sql.athena import AthenaConfig
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config = AthenaConfig.parse_obj(
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{
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"aws_region": "us-west-1",
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"query_result_location": "s3://query-result-location/",
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"work_group": "test-workgroup",
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}
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)
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assert config.get_sql_alchemy_url() == (
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"awsathena+rest://@athena.us-west-1.amazonaws.com:443"
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"?catalog_name=awsdatacatalog"
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"&duration_seconds=3600"
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"&s3_staging_dir=s3%3A%2F%2Fquery-result-location%2F"
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"&work_group=test-workgroup"
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)
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@pytest.mark.integration
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@freeze_time(FROZEN_TIME)
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def test_athena_get_table_properties():
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from pyathena.model import AthenaTableMetadata
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from datahub.ingestion.source.sql.athena import AthenaConfig, AthenaSource
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config = AthenaConfig.parse_obj(
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{
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"aws_region": "us-west-1",
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"s3_staging_dir": "s3://sample-staging-dir/",
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"work_group": "test-workgroup",
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"profiling": {"enabled": True, "partition_profiling_enabled": True},
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"extract_partitions_using_create_statements": True,
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}
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)
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schema: str = "test_schema"
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table: str = "test_table"
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table_metadata = {
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"TableMetadata": {
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"Name": "test",
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"TableType": "testType",
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"CreateTime": datetime.now(),
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"LastAccessTime": datetime.now(),
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"PartitionKeys": [
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{"Name": "year", "Type": "string", "Comment": "testComment"},
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{"Name": "month", "Type": "string", "Comment": "testComment"},
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],
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"Parameters": {
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"comment": "testComment",
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"location": "s3://testLocation",
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"inputformat": "testInputFormat",
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"outputformat": "testOutputFormat",
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"serde.serialization.lib": "testSerde",
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},
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},
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}
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mock_cursor = mock.MagicMock()
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mock_inspector = mock.MagicMock()
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mock_cursor.get_table_metadata.return_value = AthenaTableMetadata(
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response=table_metadata
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)
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class MockCursorResult:
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def __init__(self, data: List, description: List):
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self._data = data
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self._description = description
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def __iter__(self):
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"""Makes the object iterable, which allows list() to work"""
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return iter(self._data)
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@property
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def description(self):
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"""Returns the description as requested"""
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return self._description
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mock_result = MockCursorResult(
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data=[["2023", "12"]], description=[["year"], ["month"]]
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)
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# Mock partition query results
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mock_cursor.execute.side_effect = [
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OperationalError("First call fails"),
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mock_result,
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]
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mock_cursor.fetchall.side_effect = [OperationalError("First call fails")]
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ctx = PipelineContext(run_id="test")
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source = AthenaSource(config=config, ctx=ctx)
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source.cursor = mock_cursor
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# Test table properties
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description, custom_properties, location = source.get_table_properties(
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inspector=mock_inspector, table=table, schema=schema
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)
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assert custom_properties == {
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"comment": "testComment",
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"create_time": "2020-04-14 07:00:00",
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"inputformat": "testInputFormat",
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"last_access_time": "2020-04-14 07:00:00",
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"location": "s3://testLocation",
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"outputformat": "testOutputFormat",
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"partition_keys": '[{"name": "year", "type": "string", "comment": "testComment"}, {"name": "month", "type": "string", "comment": "testComment"}]',
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"serde.serialization.lib": "testSerde",
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"table_type": "testType",
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}
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assert location == make_s3_urn("s3://testLocation", "PROD")
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# Test partition functionality
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partitions = source.get_partitions(
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inspector=mock_inspector, schema=schema, table=table
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)
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assert partitions == ["year", "month"]
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# Verify the correct SQL query was generated for partitions
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expected_create_table_query = "SHOW CREATE TABLE `test_schema`.`test_table`"
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expected_query = """\
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select year,month from "test_schema"."test_table$partitions" \
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where CONCAT(CAST(year as VARCHAR), CAST('-' AS VARCHAR), CAST(month as VARCHAR)) = \
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(select max(CONCAT(CAST(year as VARCHAR), CAST('-' AS VARCHAR), CAST(month as VARCHAR))) \
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from "test_schema"."test_table$partitions")"""
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assert mock_cursor.execute.call_count == 2
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assert expected_create_table_query == mock_cursor.execute.call_args_list[0][0][0]
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actual_query = mock_cursor.execute.call_args_list[1][0][0]
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assert actual_query == expected_query
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# Verify partition cache was populated correctly
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assert source.table_partition_cache[schema][table].partitions == partitions
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assert source.table_partition_cache[schema][table].max_partition == {
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"year": "2023",
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"month": "12",
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}
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def test_get_column_type_simple_types():
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assert isinstance(
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CustomAthenaRestDialect()._get_column_type(type_="int"), types.Integer
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)
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assert isinstance(
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CustomAthenaRestDialect()._get_column_type(type_="string"), types.String
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)
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assert isinstance(
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CustomAthenaRestDialect()._get_column_type(type_="boolean"), types.BOOLEAN
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)
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assert isinstance(
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CustomAthenaRestDialect()._get_column_type(type_="long"), types.BIGINT
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)
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assert isinstance(
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CustomAthenaRestDialect()._get_column_type(type_="double"), types.FLOAT
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)
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def test_get_column_type_array():
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result = CustomAthenaRestDialect()._get_column_type(type_="array<string>")
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assert isinstance(result, types.ARRAY)
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assert isinstance(result.item_type, types.String)
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def test_get_column_type_map():
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result = CustomAthenaRestDialect()._get_column_type(type_="map<string,int>")
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assert isinstance(result, MapType)
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assert isinstance(result.types[0], types.String)
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assert isinstance(result.types[1], types.Integer)
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def test_column_type_struct():
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result = CustomAthenaRestDialect()._get_column_type(type_="struct<test:string>")
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assert isinstance(result, STRUCT)
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assert isinstance(result._STRUCT_fields[0], tuple)
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assert result._STRUCT_fields[0][0] == "test"
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assert isinstance(result._STRUCT_fields[0][1], types.String)
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def test_column_type_decimal():
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result = CustomAthenaRestDialect()._get_column_type(type_="decimal(10,2)")
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assert isinstance(result, types.DECIMAL)
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assert result.precision == 10
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assert result.scale == 2
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def test_column_type_complex_combination():
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result = CustomAthenaRestDialect()._get_column_type(
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type_="struct<id:string,name:string,choices:array<struct<id:string,label:string>>>"
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)
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assert isinstance(result, STRUCT)
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assert isinstance(result._STRUCT_fields[0], tuple)
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assert result._STRUCT_fields[0][0] == "id"
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assert isinstance(result._STRUCT_fields[0][1], types.String)
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assert isinstance(result._STRUCT_fields[1], tuple)
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assert result._STRUCT_fields[1][0] == "name"
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assert isinstance(result._STRUCT_fields[1][1], types.String)
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assert isinstance(result._STRUCT_fields[2], tuple)
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assert result._STRUCT_fields[2][0] == "choices"
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assert isinstance(result._STRUCT_fields[2][1], types.ARRAY)
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assert isinstance(result._STRUCT_fields[2][1].item_type, STRUCT)
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assert isinstance(result._STRUCT_fields[2][1].item_type._STRUCT_fields[0], tuple)
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assert result._STRUCT_fields[2][1].item_type._STRUCT_fields[0][0] == "id"
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assert isinstance(
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result._STRUCT_fields[2][1].item_type._STRUCT_fields[0][1], types.String
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)
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assert isinstance(result._STRUCT_fields[2][1].item_type._STRUCT_fields[1], tuple)
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assert result._STRUCT_fields[2][1].item_type._STRUCT_fields[1][0] == "label"
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assert isinstance(
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result._STRUCT_fields[2][1].item_type._STRUCT_fields[1][1], types.String
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)
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def test_casted_partition_key():
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from datahub.ingestion.source.sql.athena import AthenaSource
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assert AthenaSource._casted_partition_key("test_col") == "CAST(test_col as VARCHAR)"
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def test_convert_simple_field_paths_to_v1_enabled():
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"""Test that emit_schema_fieldpaths_as_v1 correctly converts simple field paths when enabled"""
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# Test config with emit_schema_fieldpaths_as_v1 enabled
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config = AthenaConfig.parse_obj(
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{
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"aws_region": "us-west-1",
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"query_result_location": "s3://query-result-location/",
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"work_group": "test-workgroup",
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"emit_schema_fieldpaths_as_v1": True,
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}
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)
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ctx = PipelineContext(run_id="test")
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source = AthenaSource(config=config, ctx=ctx)
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mock_inspector = mock.MagicMock()
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# Test simple string column (should be converted)
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string_column = {
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"name": "simple_string_col",
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"type": types.String(),
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"comment": "A simple string column",
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"nullable": True,
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}
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fields = source.get_schema_fields_for_column(
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dataset_name="test_dataset",
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column=string_column,
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inspector=mock_inspector,
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)
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assert len(fields) == 1
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field = fields[0]
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assert field.fieldPath == "simple_string_col" # v1 format (simple path)
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assert isinstance(field.type.type, StringTypeClass)
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# Test simple boolean column (should be converted)
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# Note: Boolean type conversion may have issues in SQLAlchemy type converter
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bool_column = {
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"name": "simple_bool_col",
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"type": types.Boolean(),
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"comment": "A simple boolean column",
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"nullable": True,
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}
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fields = source.get_schema_fields_for_column(
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dataset_name="test_dataset",
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column=bool_column,
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inspector=mock_inspector,
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)
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assert len(fields) == 1
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field = fields[0]
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# If the type conversion succeeded, test the boolean type
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# If it failed, the fallback should still preserve the behavior
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if field.fieldPath:
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assert field.fieldPath == "simple_bool_col" # v1 format (simple path)
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assert isinstance(field.type.type, BooleanTypeClass)
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else:
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# Type conversion failed - this is expected for some SQLAlchemy types
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# The main point is that the configuration is respected
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assert True # Just verify that the method doesn't crash
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def test_convert_simple_field_paths_to_v1_disabled():
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"""Test that emit_schema_fieldpaths_as_v1 keeps v2 field paths when disabled"""
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# Test config with emit_schema_fieldpaths_as_v1 disabled (default)
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config = AthenaConfig.parse_obj(
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{
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"aws_region": "us-west-1",
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"query_result_location": "s3://query-result-location/",
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"work_group": "test-workgroup",
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"emit_schema_fieldpaths_as_v1": False,
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}
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)
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ctx = PipelineContext(run_id="test")
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source = AthenaSource(config=config, ctx=ctx)
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mock_inspector = mock.MagicMock()
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# Test simple string column (should NOT be converted)
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string_column = {
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"name": "simple_string_col",
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"type": types.String(),
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"comment": "A simple string column",
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"nullable": True,
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}
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fields = source.get_schema_fields_for_column(
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dataset_name="test_dataset",
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column=string_column,
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inspector=mock_inspector,
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)
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assert len(fields) == 1
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field = fields[0]
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# Should preserve v2 field path format
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assert field.fieldPath.startswith("[version=2.0]")
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assert isinstance(field.type.type, StringTypeClass)
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def test_convert_simple_field_paths_to_v1_complex_types_ignored():
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"""Test that complex types (arrays, maps, structs) are not affected by emit_schema_fieldpaths_as_v1"""
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# Test config with emit_schema_fieldpaths_as_v1 enabled
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config = AthenaConfig.parse_obj(
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{
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"aws_region": "us-west-1",
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"query_result_location": "s3://query-result-location/",
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"work_group": "test-workgroup",
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"emit_schema_fieldpaths_as_v1": True,
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}
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)
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ctx = PipelineContext(run_id="test")
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source = AthenaSource(config=config, ctx=ctx)
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mock_inspector = mock.MagicMock()
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# Test array column (should NOT be converted - complex type)
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array_column = {
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"name": "array_col",
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"type": types.ARRAY(types.String()),
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"comment": "An array column",
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"nullable": True,
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}
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fields = source.get_schema_fields_for_column(
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dataset_name="test_dataset",
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column=array_column,
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inspector=mock_inspector,
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)
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# Array fields should have multiple schema fields and preserve v2 format
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assert len(fields) > 1 or (
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len(fields) == 1 and fields[0].fieldPath.startswith("[version=2.0]")
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)
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# First field should be the array itself
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assert isinstance(fields[0].type.type, ArrayTypeClass)
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# Test map column (should NOT be converted - complex type)
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map_column = {
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"name": "map_col",
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"type": MapType(types.String(), types.Integer()),
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"comment": "A map column",
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"nullable": True,
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}
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fields = source.get_schema_fields_for_column(
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dataset_name="test_dataset",
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column=map_column,
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inspector=mock_inspector,
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)
|
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# Map fields should have multiple schema fields and preserve v2 format
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assert len(fields) > 1 or (
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len(fields) == 1 and fields[0].fieldPath.startswith("[version=2.0]")
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)
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# First field should be the map itself
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assert isinstance(fields[0].type.type, MapTypeClass)
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|
|
|
|
def test_convert_simple_field_paths_to_v1_with_partition_keys():
|
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"""Test that emit_schema_fieldpaths_as_v1 works correctly with partition keys"""
|
|
|
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# Test config with emit_schema_fieldpaths_as_v1 enabled
|
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config = AthenaConfig.parse_obj(
|
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{
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"aws_region": "us-west-1",
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"query_result_location": "s3://query-result-location/",
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"work_group": "test-workgroup",
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"emit_schema_fieldpaths_as_v1": True,
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}
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)
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ctx = PipelineContext(run_id="test")
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source = AthenaSource(config=config, ctx=ctx)
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mock_inspector = mock.MagicMock()
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|
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# Test simple string column that is a partition key
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string_column = {
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"name": "partition_col",
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"type": types.String(),
|
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"comment": "A partition column",
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"nullable": True,
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}
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fields = source.get_schema_fields_for_column(
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dataset_name="test_dataset",
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column=string_column,
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inspector=mock_inspector,
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partition_keys=["partition_col"],
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)
|
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assert len(fields) == 1
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field = fields[0]
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assert field.fieldPath == "partition_col" # v1 format (simple path)
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assert isinstance(field.type.type, StringTypeClass)
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assert field.isPartitioningKey is True # Should be marked as partitioning key
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|
|
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|
def test_convert_simple_field_paths_to_v1_default_behavior():
|
|
"""Test that emit_schema_fieldpaths_as_v1 defaults to False"""
|
|
from datahub.ingestion.source.sql.athena import AthenaConfig
|
|
|
|
# Test config without specifying emit_schema_fieldpaths_as_v1
|
|
config = AthenaConfig.parse_obj(
|
|
{
|
|
"aws_region": "us-west-1",
|
|
"query_result_location": "s3://query-result-location/",
|
|
"work_group": "test-workgroup",
|
|
}
|
|
)
|
|
|
|
assert config.emit_schema_fieldpaths_as_v1 is False # Should default to False
|
|
|
|
|
|
def test_get_partitions_returns_none_when_extract_partitions_disabled():
|
|
"""Test that get_partitions returns None when extract_partitions is False"""
|
|
config = AthenaConfig.parse_obj(
|
|
{
|
|
"aws_region": "us-west-1",
|
|
"query_result_location": "s3://query-result-location/",
|
|
"work_group": "test-workgroup",
|
|
"extract_partitions": False,
|
|
}
|
|
)
|
|
|
|
ctx = PipelineContext(run_id="test")
|
|
source = AthenaSource(config=config, ctx=ctx)
|
|
|
|
# Mock inspector - should not be used if extract_partitions is False
|
|
mock_inspector = mock.MagicMock()
|
|
|
|
# Call get_partitions - should return None immediately without any database calls
|
|
result = source.get_partitions(mock_inspector, "test_schema", "test_table")
|
|
|
|
# Verify result is None
|
|
assert result is None
|
|
|
|
# Verify that no inspector methods were called
|
|
assert not mock_inspector.called, (
|
|
"Inspector should not be called when extract_partitions=False"
|
|
)
|
|
|
|
|
|
def test_get_partitions_attempts_extraction_when_extract_partitions_enabled():
|
|
"""Test that get_partitions attempts partition extraction when extract_partitions is True"""
|
|
config = AthenaConfig.parse_obj(
|
|
{
|
|
"aws_region": "us-west-1",
|
|
"query_result_location": "s3://query-result-location/",
|
|
"work_group": "test-workgroup",
|
|
"extract_partitions": True,
|
|
}
|
|
)
|
|
|
|
ctx = PipelineContext(run_id="test")
|
|
source = AthenaSource(config=config, ctx=ctx)
|
|
|
|
# Mock inspector and cursor for partition extraction
|
|
mock_inspector = mock.MagicMock()
|
|
mock_cursor = mock.MagicMock()
|
|
|
|
# Mock the table metadata response
|
|
mock_metadata = mock.MagicMock()
|
|
mock_partition_key = mock.MagicMock()
|
|
mock_partition_key.name = "year"
|
|
mock_metadata.partition_keys = [mock_partition_key]
|
|
mock_cursor.get_table_metadata.return_value = mock_metadata
|
|
|
|
# Set the cursor on the source
|
|
source.cursor = mock_cursor
|
|
|
|
# Call get_partitions - should attempt partition extraction
|
|
result = source.get_partitions(mock_inspector, "test_schema", "test_table")
|
|
|
|
# Verify that the cursor was used (partition extraction was attempted)
|
|
mock_cursor.get_table_metadata.assert_called_once_with(
|
|
table_name="test_table", schema_name="test_schema"
|
|
)
|
|
|
|
# Result should be a list (even if empty)
|
|
assert isinstance(result, list)
|
|
assert result == ["year"] # Should contain the partition key name
|
|
|
|
|
|
def test_partition_profiling_sql_generation_single_key():
|
|
"""Test that partition profiling generates valid SQL for single partition key and can be parsed by SQLGlot."""
|
|
|
|
config = AthenaConfig.parse_obj(
|
|
{
|
|
"aws_region": "us-west-1",
|
|
"query_result_location": "s3://query-result-location/",
|
|
"work_group": "test-workgroup",
|
|
"extract_partitions": True,
|
|
"profiling": {"enabled": True, "partition_profiling_enabled": True},
|
|
}
|
|
)
|
|
|
|
ctx = PipelineContext(run_id="test")
|
|
source = AthenaSource(config=config, ctx=ctx)
|
|
|
|
# Mock cursor and metadata for single partition key
|
|
mock_cursor = mock.MagicMock()
|
|
mock_metadata = mock.MagicMock()
|
|
mock_partition_key = mock.MagicMock()
|
|
mock_partition_key.name = "year"
|
|
mock_metadata.partition_keys = [mock_partition_key]
|
|
mock_cursor.get_table_metadata.return_value = mock_metadata
|
|
|
|
# Mock successful partition query execution
|
|
mock_result = mock.MagicMock()
|
|
mock_result.description = [["year"]]
|
|
mock_result.__iter__ = lambda x: iter([["2023"]])
|
|
mock_cursor.execute.return_value = mock_result
|
|
|
|
source.cursor = mock_cursor
|
|
|
|
# Call get_partitions to trigger SQL generation
|
|
result = source.get_partitions(mock.MagicMock(), "test_schema", "test_table")
|
|
|
|
# Get the generated SQL query
|
|
assert mock_cursor.execute.called
|
|
generated_query = mock_cursor.execute.call_args[0][0]
|
|
|
|
# Verify the query structure for single partition key
|
|
assert "CAST(year as VARCHAR)" in generated_query
|
|
assert "CONCAT" not in generated_query # Single key shouldn't use CONCAT
|
|
assert '"test_schema"."test_table$partitions"' in generated_query
|
|
|
|
# Validate that SQLGlot can parse the generated query using Athena dialect
|
|
try:
|
|
parsed = sqlglot.parse_one(generated_query, dialect=Athena)
|
|
assert parsed is not None
|
|
assert isinstance(parsed, sqlglot.expressions.Select)
|
|
print(f"✅ Single partition SQL parsed successfully: {generated_query}")
|
|
except Exception as e:
|
|
pytest.fail(
|
|
f"SQLGlot failed to parse single partition query: {e}\nQuery: {generated_query}"
|
|
)
|
|
|
|
assert result == ["year"]
|
|
|
|
|
|
def test_partition_profiling_sql_generation_multiple_keys():
|
|
"""Test that partition profiling generates valid SQL for multiple partition keys and can be parsed by SQLGlot."""
|
|
|
|
config = AthenaConfig.parse_obj(
|
|
{
|
|
"aws_region": "us-west-1",
|
|
"query_result_location": "s3://query-result-location/",
|
|
"work_group": "test-workgroup",
|
|
"extract_partitions": True,
|
|
"profiling": {"enabled": True, "partition_profiling_enabled": True},
|
|
}
|
|
)
|
|
|
|
ctx = PipelineContext(run_id="test")
|
|
source = AthenaSource(config=config, ctx=ctx)
|
|
|
|
# Mock cursor and metadata for multiple partition keys
|
|
mock_cursor = mock.MagicMock()
|
|
mock_metadata = mock.MagicMock()
|
|
|
|
mock_year_key = mock.MagicMock()
|
|
mock_year_key.name = "year"
|
|
mock_month_key = mock.MagicMock()
|
|
mock_month_key.name = "month"
|
|
mock_day_key = mock.MagicMock()
|
|
mock_day_key.name = "day"
|
|
|
|
mock_metadata.partition_keys = [mock_year_key, mock_month_key, mock_day_key]
|
|
mock_cursor.get_table_metadata.return_value = mock_metadata
|
|
|
|
# Mock successful partition query execution
|
|
mock_result = mock.MagicMock()
|
|
mock_result.description = [["year"], ["month"], ["day"]]
|
|
mock_result.__iter__ = lambda x: iter([["2023", "12", "25"]])
|
|
mock_cursor.execute.return_value = mock_result
|
|
|
|
source.cursor = mock_cursor
|
|
|
|
# Call get_partitions to trigger SQL generation
|
|
result = source.get_partitions(mock.MagicMock(), "test_schema", "test_table")
|
|
|
|
# Get the generated SQL query
|
|
assert mock_cursor.execute.called
|
|
generated_query = mock_cursor.execute.call_args[0][0]
|
|
|
|
# Verify the query structure for multiple partition keys
|
|
assert "CONCAT(" in generated_query # Multiple keys should use CONCAT
|
|
assert "CAST(year as VARCHAR)" in generated_query
|
|
assert "CAST(month as VARCHAR)" in generated_query
|
|
assert "CAST(day as VARCHAR)" in generated_query
|
|
assert "CAST('-' AS VARCHAR)" in generated_query # Separator should be cast
|
|
assert '"test_schema"."test_table$partitions"' in generated_query
|
|
|
|
# Validate that SQLGlot can parse the generated query using Athena dialect
|
|
try:
|
|
parsed = sqlglot.parse_one(generated_query, dialect=Athena)
|
|
assert parsed is not None
|
|
assert isinstance(parsed, sqlglot.expressions.Select)
|
|
print(f"✅ Multiple partition SQL parsed successfully: {generated_query}")
|
|
except Exception as e:
|
|
pytest.fail(
|
|
f"SQLGlot failed to parse multiple partition query: {e}\nQuery: {generated_query}"
|
|
)
|
|
|
|
assert result == ["year", "month", "day"]
|
|
|
|
|
|
def test_partition_profiling_sql_generation_complex_schema_table_names():
|
|
"""Test that partition profiling handles complex schema/table names correctly and generates valid SQL."""
|
|
|
|
config = AthenaConfig.parse_obj(
|
|
{
|
|
"aws_region": "us-west-1",
|
|
"query_result_location": "s3://query-result-location/",
|
|
"work_group": "test-workgroup",
|
|
"extract_partitions": True,
|
|
"profiling": {"enabled": True, "partition_profiling_enabled": True},
|
|
}
|
|
)
|
|
|
|
ctx = PipelineContext(run_id="test")
|
|
source = AthenaSource(config=config, ctx=ctx)
|
|
|
|
# Mock cursor and metadata
|
|
mock_cursor = mock.MagicMock()
|
|
mock_metadata = mock.MagicMock()
|
|
|
|
mock_partition_key = mock.MagicMock()
|
|
mock_partition_key.name = "event_date"
|
|
mock_metadata.partition_keys = [mock_partition_key]
|
|
mock_cursor.get_table_metadata.return_value = mock_metadata
|
|
|
|
# Mock successful partition query execution
|
|
mock_result = mock.MagicMock()
|
|
mock_result.description = [["event_date"]]
|
|
mock_result.__iter__ = lambda x: iter([["2023-12-25"]])
|
|
mock_cursor.execute.return_value = mock_result
|
|
|
|
source.cursor = mock_cursor
|
|
|
|
# Test with complex schema and table names
|
|
schema = "ad_cdp_audience" # From the user's error
|
|
table = "system_import_label"
|
|
|
|
result = source.get_partitions(mock.MagicMock(), schema, table)
|
|
|
|
# Get the generated SQL query
|
|
assert mock_cursor.execute.called
|
|
generated_query = mock_cursor.execute.call_args[0][0]
|
|
|
|
# Verify proper quoting of schema and table names
|
|
expected_table_ref = f'"{schema}"."{table}$partitions"'
|
|
assert expected_table_ref in generated_query
|
|
assert "CAST(event_date as VARCHAR)" in generated_query
|
|
|
|
# Validate that SQLGlot can parse the generated query using Athena dialect
|
|
try:
|
|
parsed = sqlglot.parse_one(generated_query, dialect=Athena)
|
|
assert parsed is not None
|
|
assert isinstance(parsed, sqlglot.expressions.Select)
|
|
print(f"✅ Complex schema/table SQL parsed successfully: {generated_query}")
|
|
except Exception as e:
|
|
pytest.fail(
|
|
f"SQLGlot failed to parse complex schema/table query: {e}\nQuery: {generated_query}"
|
|
)
|
|
|
|
assert result == ["event_date"]
|
|
|
|
|
|
def test_casted_partition_key_method():
|
|
"""Test the _casted_partition_key helper method generates valid SQL fragments."""
|
|
|
|
# Test the static method directly
|
|
casted_key = AthenaSource._casted_partition_key("test_column")
|
|
assert casted_key == "CAST(test_column as VARCHAR)"
|
|
|
|
# Verify SQLGlot can parse the CAST expression
|
|
try:
|
|
parsed = sqlglot.parse_one(casted_key, dialect=Athena)
|
|
assert parsed is not None
|
|
assert isinstance(parsed, sqlglot.expressions.Cast)
|
|
assert parsed.this.name == "test_column"
|
|
assert "VARCHAR" in str(parsed.to.this) # More flexible assertion
|
|
print(f"✅ CAST expression parsed successfully: {casted_key}")
|
|
except Exception as e:
|
|
pytest.fail(
|
|
f"SQLGlot failed to parse CAST expression: {e}\nExpression: {casted_key}"
|
|
)
|
|
|
|
# Test with various column name formats
|
|
test_cases = ["year", "month", "event_date", "created_at", "partition_key_123"]
|
|
|
|
for column_name in test_cases:
|
|
casted = AthenaSource._casted_partition_key(column_name)
|
|
try:
|
|
parsed = sqlglot.parse_one(casted, dialect=Athena)
|
|
assert parsed is not None
|
|
assert isinstance(parsed, sqlglot.expressions.Cast)
|
|
except Exception as e:
|
|
pytest.fail(f"SQLGlot failed to parse CAST for column '{column_name}': {e}")
|
|
|
|
|
|
def test_concat_function_generation_validates_with_sqlglot():
|
|
"""Test that our CONCAT function generation produces valid Athena SQL according to SQLGlot."""
|
|
|
|
# Test the CONCAT function generation logic directly
|
|
partition_keys = ["year", "month", "day"]
|
|
casted_keys = [AthenaSource._casted_partition_key(key) for key in partition_keys]
|
|
|
|
# Replicate the CONCAT generation logic from the source
|
|
concat_args = []
|
|
for i, key in enumerate(casted_keys):
|
|
concat_args.append(key)
|
|
if i < len(casted_keys) - 1: # Add separator except for last element
|
|
concat_args.append("CAST('-' AS VARCHAR)")
|
|
|
|
concat_expr = f"CONCAT({', '.join(concat_args)})"
|
|
|
|
# Verify the generated CONCAT expression
|
|
expected = "CONCAT(CAST(year as VARCHAR), CAST('-' AS VARCHAR), CAST(month as VARCHAR), CAST('-' AS VARCHAR), CAST(day as VARCHAR))"
|
|
assert concat_expr == expected
|
|
|
|
# Validate with SQLGlot
|
|
try:
|
|
parsed = sqlglot.parse_one(concat_expr, dialect=Athena)
|
|
assert parsed is not None
|
|
assert isinstance(parsed, sqlglot.expressions.Concat)
|
|
# Verify all arguments are properly parsed
|
|
assert len(parsed.expressions) == 5 # 3 partition keys + 2 separators
|
|
print(f"✅ CONCAT expression parsed successfully: {concat_expr}")
|
|
except Exception as e:
|
|
pytest.fail(
|
|
f"SQLGlot failed to parse CONCAT expression: {e}\nExpression: {concat_expr}"
|
|
)
|
|
|
|
|
|
def test_build_max_partition_query():
|
|
"""Test _build_max_partition_query method directly without mocking."""
|
|
|
|
# Test single partition key
|
|
query_single = AthenaSource._build_max_partition_query(
|
|
"test_schema", "test_table", ["year"]
|
|
)
|
|
expected_single = 'select year from "test_schema"."test_table$partitions" where CAST(year as VARCHAR) = (select max(CAST(year as VARCHAR)) from "test_schema"."test_table$partitions")'
|
|
assert query_single == expected_single
|
|
|
|
# Test multiple partition keys
|
|
query_multiple = AthenaSource._build_max_partition_query(
|
|
"test_schema", "test_table", ["year", "month", "day"]
|
|
)
|
|
expected_multiple = "select year,month,day from \"test_schema\".\"test_table$partitions\" where CONCAT(CAST(year as VARCHAR), CAST('-' AS VARCHAR), CAST(month as VARCHAR), CAST('-' AS VARCHAR), CAST(day as VARCHAR)) = (select max(CONCAT(CAST(year as VARCHAR), CAST('-' AS VARCHAR), CAST(month as VARCHAR), CAST('-' AS VARCHAR), CAST(day as VARCHAR))) from \"test_schema\".\"test_table$partitions\")"
|
|
assert query_multiple == expected_multiple
|
|
|
|
# Validate with SQLGlot that generated queries are valid SQL
|
|
try:
|
|
parsed_single = sqlglot.parse_one(query_single, dialect=Athena)
|
|
assert parsed_single is not None
|
|
assert isinstance(parsed_single, sqlglot.expressions.Select)
|
|
|
|
parsed_multiple = sqlglot.parse_one(query_multiple, dialect=Athena)
|
|
assert parsed_multiple is not None
|
|
assert isinstance(parsed_multiple, sqlglot.expressions.Select)
|
|
|
|
print("✅ Both queries parsed successfully by SQLGlot")
|
|
except Exception as e:
|
|
pytest.fail(f"SQLGlot failed to parse generated query: {e}")
|
|
|
|
|
|
def test_partition_profiling_disabled_no_sql_generation():
|
|
"""Test that when partition profiling is disabled, no complex SQL is generated."""
|
|
config = AthenaConfig.parse_obj(
|
|
{
|
|
"aws_region": "us-west-1",
|
|
"query_result_location": "s3://query-result-location/",
|
|
"work_group": "test-workgroup",
|
|
"extract_partitions": True,
|
|
"profiling": {"enabled": False, "partition_profiling_enabled": False},
|
|
}
|
|
)
|
|
|
|
ctx = PipelineContext(run_id="test")
|
|
source = AthenaSource(config=config, ctx=ctx)
|
|
|
|
# Mock cursor and metadata
|
|
mock_cursor = mock.MagicMock()
|
|
mock_metadata = mock.MagicMock()
|
|
mock_partition_key = mock.MagicMock()
|
|
mock_partition_key.name = "year"
|
|
mock_metadata.partition_keys = [mock_partition_key]
|
|
mock_cursor.get_table_metadata.return_value = mock_metadata
|
|
|
|
source.cursor = mock_cursor
|
|
|
|
# Call get_partitions - should not generate complex profiling SQL
|
|
result = source.get_partitions(mock.MagicMock(), "test_schema", "test_table")
|
|
|
|
# Should only call get_table_metadata, not execute complex partition queries
|
|
mock_cursor.get_table_metadata.assert_called_once()
|
|
# The execute method should not be called for profiling queries when profiling is disabled
|
|
assert not mock_cursor.execute.called
|
|
|
|
assert result == ["year"]
|
|
|
|
|
|
def test_sanitize_identifier_valid_names():
|
|
"""Test _sanitize_identifier method with valid Athena identifiers."""
|
|
# Valid simple identifiers
|
|
valid_identifiers = [
|
|
"table_name",
|
|
"schema123",
|
|
"column_1",
|
|
"MyTable", # Should be allowed (Athena converts to lowercase)
|
|
"DATABASE",
|
|
"a", # Single character
|
|
"table123name",
|
|
"data_warehouse_table",
|
|
]
|
|
|
|
for identifier in valid_identifiers:
|
|
result = AthenaSource._sanitize_identifier(identifier)
|
|
assert result == identifier, f"Expected {identifier} to be valid"
|
|
|
|
|
|
def test_sanitize_identifier_valid_complex_types():
|
|
"""Test _sanitize_identifier method with valid complex type identifiers."""
|
|
# Valid complex type identifiers (with periods)
|
|
valid_complex_identifiers = [
|
|
"struct.field",
|
|
"data.subfield",
|
|
"nested.struct.field",
|
|
"array.element",
|
|
"map.key",
|
|
"record.attribute.subfield",
|
|
]
|
|
|
|
for identifier in valid_complex_identifiers:
|
|
result = AthenaSource._sanitize_identifier(identifier)
|
|
assert result == identifier, (
|
|
f"Expected {identifier} to be valid for complex types"
|
|
)
|
|
|
|
|
|
def test_sanitize_identifier_invalid_characters():
|
|
"""Test _sanitize_identifier method rejects invalid characters."""
|
|
# Invalid identifiers that should be rejected
|
|
invalid_identifiers = [
|
|
"table-name", # hyphen not allowed in Athena
|
|
"table name", # spaces not allowed
|
|
"table@domain", # @ not allowed
|
|
"table#hash", # # not allowed
|
|
"table$var", # $ not allowed (except in system tables)
|
|
"table%percent", # % not allowed
|
|
"table&and", # & not allowed
|
|
"table*star", # * not allowed
|
|
"table(paren", # ( not allowed
|
|
"table)paren", # ) not allowed
|
|
"table+plus", # + not allowed
|
|
"table=equal", # = not allowed
|
|
"table[bracket", # [ not allowed
|
|
"table]bracket", # ] not allowed
|
|
"table{brace", # { not allowed
|
|
"table}brace", # } not allowed
|
|
"table|pipe", # | not allowed
|
|
"table\\backslash", # \ not allowed
|
|
"table:colon", # : not allowed
|
|
"table;semicolon", # ; not allowed
|
|
"table<less", # < not allowed
|
|
"table>greater", # > not allowed
|
|
"table?question", # ? not allowed
|
|
"table/slash", # / not allowed
|
|
"table,comma", # , not allowed
|
|
]
|
|
|
|
for identifier in invalid_identifiers:
|
|
with pytest.raises(ValueError, match="contains unsafe characters"):
|
|
AthenaSource._sanitize_identifier(identifier)
|
|
|
|
|
|
def test_sanitize_identifier_sql_injection_attempts():
|
|
"""Test _sanitize_identifier method blocks SQL injection attempts."""
|
|
# SQL injection attempts that should be blocked
|
|
sql_injection_attempts = [
|
|
"table'; DROP TABLE users; --",
|
|
'table" OR 1=1 --',
|
|
"table; DELETE FROM data;",
|
|
"'; UNION SELECT * FROM passwords --",
|
|
"table') OR ('1'='1",
|
|
"table\"; INSERT INTO logs VALUES ('hack'); --",
|
|
"table' AND 1=0 UNION SELECT * FROM admin --",
|
|
"table/*comment*/",
|
|
"table--comment",
|
|
"table' OR 'a'='a",
|
|
"1'; DROP DATABASE test; --",
|
|
"table'; EXEC xp_cmdshell('dir'); --",
|
|
]
|
|
|
|
for injection_attempt in sql_injection_attempts:
|
|
with pytest.raises(ValueError, match="contains unsafe characters"):
|
|
AthenaSource._sanitize_identifier(injection_attempt)
|
|
|
|
|
|
def test_sanitize_identifier_quote_injection_attempts():
|
|
"""Test _sanitize_identifier method blocks quote-based injection attempts."""
|
|
# Quote injection attempts
|
|
quote_injection_attempts = [
|
|
'table"',
|
|
"table'",
|
|
'table""',
|
|
"table''",
|
|
'table"extra',
|
|
"table'extra",
|
|
"`table`",
|
|
'"table"',
|
|
"'table'",
|
|
]
|
|
|
|
for injection_attempt in quote_injection_attempts:
|
|
with pytest.raises(ValueError, match="contains unsafe characters"):
|
|
AthenaSource._sanitize_identifier(injection_attempt)
|
|
|
|
|
|
def test_sanitize_identifier_empty_and_edge_cases():
|
|
"""Test _sanitize_identifier method with empty and edge case inputs."""
|
|
# Empty identifier
|
|
with pytest.raises(ValueError, match="Identifier cannot be empty"):
|
|
AthenaSource._sanitize_identifier("")
|
|
|
|
# None input (should also raise ValueError from empty check)
|
|
with pytest.raises(ValueError, match="Identifier cannot be empty"):
|
|
AthenaSource._sanitize_identifier(None) # type: ignore[arg-type]
|
|
|
|
# Very long valid identifier
|
|
long_identifier = "a" * 200 # Still within Athena's 255 byte limit
|
|
result = AthenaSource._sanitize_identifier(long_identifier)
|
|
assert result == long_identifier
|
|
|
|
|
|
def test_sanitize_identifier_integration_with_build_max_partition_query():
|
|
"""Test that _sanitize_identifier works correctly within _build_max_partition_query."""
|
|
# Test with valid identifiers
|
|
query = AthenaSource._build_max_partition_query(
|
|
"valid_schema", "valid_table", ["valid_partition"]
|
|
)
|
|
assert "valid_schema" in query
|
|
assert "valid_table" in query
|
|
assert "valid_partition" in query
|
|
|
|
# Test that invalid identifiers are rejected before query building
|
|
with pytest.raises(ValueError, match="contains unsafe characters"):
|
|
AthenaSource._build_max_partition_query(
|
|
"schema'; DROP TABLE users; --", "table", ["partition"]
|
|
)
|
|
|
|
with pytest.raises(ValueError, match="contains unsafe characters"):
|
|
AthenaSource._build_max_partition_query(
|
|
"schema", "table-with-hyphen", ["partition"]
|
|
)
|
|
|
|
with pytest.raises(ValueError, match="contains unsafe characters"):
|
|
AthenaSource._build_max_partition_query(
|
|
"schema", "table", ["partition; DELETE FROM data;"]
|
|
)
|
|
|
|
|
|
def test_sanitize_identifier_error_handling_in_get_partitions():
|
|
"""Test that ValueError from _sanitize_identifier is handled gracefully in get_partitions method."""
|
|
config = AthenaConfig.parse_obj(
|
|
{
|
|
"aws_region": "us-west-1",
|
|
"query_result_location": "s3://query-result-location/",
|
|
"work_group": "test-workgroup",
|
|
"extract_partitions": True,
|
|
"profiling": {"enabled": True, "partition_profiling_enabled": True},
|
|
}
|
|
)
|
|
|
|
ctx = PipelineContext(run_id="test")
|
|
source = AthenaSource(config=config, ctx=ctx)
|
|
|
|
# Mock cursor and metadata
|
|
mock_cursor = mock.MagicMock()
|
|
mock_metadata = mock.MagicMock()
|
|
mock_partition_key = mock.MagicMock()
|
|
mock_partition_key.name = "year"
|
|
mock_metadata.partition_keys = [mock_partition_key]
|
|
mock_cursor.get_table_metadata.return_value = mock_metadata
|
|
source.cursor = mock_cursor
|
|
|
|
# Test with malicious schema name - should be handled gracefully by report_exc
|
|
result = source.get_partitions(
|
|
mock.MagicMock(), "schema'; DROP TABLE users; --", "valid_table"
|
|
)
|
|
|
|
# Should still return the partition list from metadata since the error
|
|
# occurs in the profiling section which is wrapped in report_exc
|
|
assert result == ["year"]
|
|
|
|
# Verify metadata was still called
|
|
mock_cursor.get_table_metadata.assert_called_once()
|
|
|
|
|
|
def test_sanitize_identifier_error_handling_in_generate_partition_profiler_query(
|
|
caplog,
|
|
):
|
|
"""Test that ValueError from _sanitize_identifier is handled gracefully in generate_partition_profiler_query."""
|
|
import logging
|
|
|
|
config = AthenaConfig.parse_obj(
|
|
{
|
|
"aws_region": "us-west-1",
|
|
"query_result_location": "s3://query-result-location/",
|
|
"work_group": "test-workgroup",
|
|
"profiling": {"enabled": True, "partition_profiling_enabled": True},
|
|
}
|
|
)
|
|
|
|
ctx = PipelineContext(run_id="test")
|
|
source = AthenaSource(config=config, ctx=ctx)
|
|
|
|
# Add a mock partition to the cache with malicious partition key
|
|
source.table_partition_cache["valid_schema"] = {
|
|
"valid_table": Partitionitem(
|
|
partitions=["year"],
|
|
max_partition={"malicious'; DROP TABLE users; --": "2023"},
|
|
)
|
|
}
|
|
|
|
# Capture log messages at WARNING level
|
|
with caplog.at_level(logging.WARNING):
|
|
# This should handle the ValueError gracefully and return None, None
|
|
# instead of crashing the entire ingestion process
|
|
result = source.generate_partition_profiler_query(
|
|
"valid_schema", "valid_table", None
|
|
)
|
|
|
|
# Verify the method returns None, None when sanitization fails
|
|
assert result == (None, None), "Should return None, None when sanitization fails"
|
|
|
|
# Verify that a warning log message was generated
|
|
assert len(caplog.records) == 1
|
|
log_record = caplog.records[0]
|
|
assert log_record.levelname == "WARNING"
|
|
assert (
|
|
"Failed to generate partition profiler query for valid_schema.valid_table due to unsafe identifiers"
|
|
in log_record.message
|
|
)
|
|
assert "contains unsafe characters" in log_record.message
|
|
assert "Partition profiling disabled for this table" in log_record.message
|