def _resolve_query_exception(self, e: Exception, query: Query, worker_args: ExecuteRequestWorkerArgs, is_rollback_error=False):
utils.log.log_debug(self._service_provider.logger, f'Query execution failed for following query: {query.query_text}\n {e}')
# If the error relates to the database, display the appropriate error message based on the provider
if isinstance(e, worker_args.connection.database_error) or isinstance(e, worker_args.connection.query_canceled_error):
# get_error_message may return None so ensure error_message is str type
error_message = str(worker_args.connection.get_error_message(e))
elif isinstance(e, RuntimeError):
error_message = str(e)
else:
error_message = 'Unhandled exception while executing query: {}'.format(str(e)) # TODO: Localize
if self._service_provider.logger is not None:
self._service_provider.logger.exception('Unhandled exception while executing query')
# If the error occured during rollback, add a note about it
if is_rollback_error:
error_message = 'Error while rolling back open transaction due to previous failure: ' + error_message # TODO: Localize
# Send a message with the error to the client
result_message_params = self.build_message_params(query.owner_uri, query.batches[query.current_batch_index].id, error_message, True)
_check_and_fire(worker_args.on_message_notification, result_message_params)
# If there was a failure in the middle of a transaction, roll it back.
# Note that conn.rollback() won't work since the connection is in autocommit mode
if not is_rollback_error and worker_args.connection.transaction_in_error:
rollback_query = Query(query.owner_uri, 'ROLLBACK', QueryExecutionSettings(ExecutionPlanOptions(), None), QueryEvents())
try:
rollback_query.execute(worker_args.connection)
except Exception as rollback_exception:
# If the rollback failed, handle the error as usual but don't try to roll back again
self._resolve_query_exception(rollback_exception, rollback_query, worker_args, True)
class TestQuery(unittest.TestCase):
"""Unit tests for Query and Batch objects"""
def setUp(self):
"""Set up the test by creating a query with multiple batches"""
self.statement_list = statement_list = [
'select version;', 'select * from t1;'
]
self.statement_str = ''.join(statement_list)
self.query_uri = 'test_uri'
self.query = Query(
self.query_uri, self.statement_str,
QueryExecutionSettings(ExecutionPlanOptions(),
ResultSetStorageType.FILE_STORAGE),
QueryEvents())
self.mock_query_results = [('Id1', 'Value1'), ('Id2', 'Value2')]
self.cursor = MockCursor(self.mock_query_results)
self.connection = MockPGServerConnection(cur=self.cursor)
self.columns_info = []
db_column_id = DbColumn()
db_column_id.data_type = 'text'
db_column_id.column_name = 'Id'
db_column_id.provider = PG_PROVIDER_NAME
db_column_value = DbColumn()
db_column_value.data_type = 'text'
db_column_value.column_name = 'Value'
db_column_value.provider = PG_PROVIDER_NAME
self.columns_info = [db_column_id, db_column_value]
self.get_columns_info_mock = mock.Mock(return_value=self.columns_info)
def test_query_creates_batches(self):
"""Test that creating a query also creates batches for each statement in the query"""
# Verify that the query created in setUp has a batch corresponding to each statement
for index, statement in enumerate(self.statement_list):
self.assertEqual(self.query.batches[index].batch_text, statement)
def test_executing_query_executes_batches(self):
"""Test that executing a query also executes all of the query's batches in order"""
# If I call query.execute
with mock.patch(
'ossdbtoolsservice.query.data_storage.storage_data_reader.get_columns_info',
new=self.get_columns_info_mock):
self.query.execute(self.connection)
# Then each of the batches executed in order
expected_calls = [
mock.call(statement) for statement in self.statement_list
]
self.cursor.execute.assert_has_calls(expected_calls)
self.assertEqual(len(self.cursor.execute.mock_calls), 2)
# And each of the batches holds the expected results
for batch in self.query.batches:
for index in range(0, batch.result_set.row_count):
current_row = batch.result_set.get_row(index)
row_tuple = ()
for cell in current_row:
row_tuple += (cell.display_value, )
self.assertEqual(row_tuple, self.mock_query_results[index])
# And the query is marked as executed
self.assertIs(self.query.execution_state, ExecutionState.EXECUTED)
def test_batch_failure(self):
"""Test that query execution handles a batch execution failure by stopping further execution"""
# Set up the cursor to fail when executed
self.cursor.execute.side_effect = self.cursor.execute_failure_side_effects
# If I call query.execute then it raises the database error
with self.assertRaises(psycopg2.DatabaseError):
self.query.execute(self.connection)
# And only the first batch was executed
expected_calls = [mock.call(self.statement_list[0])]
self.cursor.execute.assert_has_calls(expected_calls)
self.assertEqual(len(self.cursor.execute.mock_calls), 1)
# And the query is marked as executed
self.assertIs(self.query.execution_state, ExecutionState.EXECUTED)
def test_batch_selections(self):
"""Test that the query sets up batch objects with correct selection information"""
full_query = '''select * from
t1;
select * from t2;;;
; ;
select version(); select * from
t3 ;
select * from t2
'''
# If I build a query that contains several statements
query = Query('test_uri', full_query,
QueryExecutionSettings(ExecutionPlanOptions(), None),
QueryEvents())
# Then there is a batch for each non-empty statement
self.assertEqual(len(query.batches), 5)
# And each batch should have the correct location information
expected_selections = [
SelectionData(start_line=0,
start_column=0,
end_line=1,
end_column=3),
SelectionData(start_line=2,
start_column=0,
end_line=2,
end_column=17),
SelectionData(start_line=4,
start_column=0,
end_line=4,
end_column=17),
SelectionData(start_line=4,
start_column=18,
end_line=5,
end_column=4),
SelectionData(start_line=6,
start_column=0,
end_line=6,
end_column=16)
]
for index, batch in enumerate(query.batches):
self.assertEqual(
_tuple_from_selection_data(batch.selection),
_tuple_from_selection_data(expected_selections[index]))
def test_batch_selections_do_block(self):
"""Test that the query sets up batch objects with correct selection information for blocks containing statements"""
full_query = '''DO $$
BEGIN
RAISE NOTICE 'Hello world 1';
RAISE NOTICE 'Hello world 2';
END $$;
select * from t1;'''
# If I build a query that contains a block that contains several statements
query = Query('test_uri', full_query,
QueryExecutionSettings(ExecutionPlanOptions(), None),
QueryEvents())
# Then there is a batch for each top-level statement
self.assertEqual(len(query.batches), 2)
# And each batch should have the correct location information
expected_selections = [
SelectionData(start_line=0,
start_column=0,
end_line=4,
end_column=7),
SelectionData(start_line=5,
start_column=0,
end_line=5,
end_column=17)
]
for index, batch in enumerate(query.batches):
self.assertEqual(
_tuple_from_selection_data(batch.selection),
_tuple_from_selection_data(expected_selections[index]))
def test_batches_strip_comments(self):
"""Test that we do not attempt to execute a batch consisting only of comments"""
full_query = '''select * from t1;
-- test
-- test
;select * from t1;
-- test
-- test;'''
# If I build a query that contains a batch consisting of only comments, in addition to other valid batches
query = Query('test_uri', full_query,
QueryExecutionSettings(ExecutionPlanOptions(), None),
QueryEvents())
# Then there is only a batch for each non-comment statement
self.assertEqual(len(query.batches), 2)
# And each batch should have the correct location information
expected_selections = [
SelectionData(start_line=0,
start_column=0,
end_line=0,
end_column=17),
SelectionData(start_line=3,
start_column=1,
end_line=3,
end_column=18)
]
for index, batch in enumerate(query.batches):
self.assertEqual(
_tuple_from_selection_data(batch.selection),
_tuple_from_selection_data(expected_selections[index]))
def test_hash_character_processed_correctly(self):
"""Test that xor operator is not taken for an inline comment delimiter"""
full_query = "select 42 # 24;"
query = Query('test_uri', full_query,
QueryExecutionSettings(ExecutionPlanOptions(), None),
QueryEvents())
self.assertEqual(len(query.batches), 1)
self.assertEqual(full_query, query.batches[0].batch_text)
def execute_get_subset_raises_error_when_index_not_in_range(
self, batch_index: int):
full_query = 'Select * from t1;'
query = Query('test_uri', full_query,
QueryExecutionSettings(ExecutionPlanOptions(), None),
QueryEvents())
with self.assertRaises(IndexError) as context_manager:
query.get_subset(batch_index, 0, 10)
self.assertEquals(
'Batch index cannot be less than 0 or greater than the number of batches',
context_manager.exception.args[0])
def test_get_subset_raises_error_when_index_is_negetive(self):
self.execute_get_subset_raises_error_when_index_not_in_range(-1)
def test_get_subset_raises_error_when_index_is_greater_than_batch_size(
self):
self.execute_get_subset_raises_error_when_index_not_in_range(20)
def test_get_subset(self):
full_query = 'Select * from t1;'
query = Query('test_uri', full_query,
QueryExecutionSettings(ExecutionPlanOptions(), None),
QueryEvents())
expected_subset = []
mock_batch = mock.MagicMock()
mock_batch.get_subset = mock.Mock(return_value=expected_subset)
query._batches = [mock_batch]
subset = query.get_subset(0, 0, 10)
self.assertEqual(expected_subset, subset)
mock_batch.get_subset.assert_called_once_with(0, 10)
def test_save_as_with_invalid_batch_index(self):
def execute_with_batch_index(index: int):
params = SaveResultsRequestParams()
params.batch_index = index
with self.assertRaises(IndexError) as context_manager:
self.query.save_as(params, None, None, None)
self.assertEquals(
'Batch index cannot be less than 0 or greater than the number of batches',
context_manager.exception.args[0])
execute_with_batch_index(-1)
execute_with_batch_index(2)
def test_save_as(self):
params = SaveResultsRequestParams()
params.batch_index = 0
file_factory = mock.MagicMock()
on_success = mock.MagicMock()
on_error = mock.MagicMock()
batch_save_as_mock = mock.MagicMock()
self.query.batches[0].save_as = batch_save_as_mock
self.query.save_as(params, file_factory, on_success, on_error)
batch_save_as_mock.assert_called_once_with(params, file_factory,
on_success, on_error)