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superset/tests/db_engine_specs_test.py

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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import unittest
from unittest import mock
from sqlalchemy import column, literal_column, select, table
from sqlalchemy.dialects import mssql, oracle, postgresql
from sqlalchemy.engine.result import RowProxy
from sqlalchemy.types import String, UnicodeText
from superset.db_engine_specs import engines
from superset.db_engine_specs.base import (
BaseEngineSpec,
builtin_time_grains,
create_time_grains_tuple,
)
from superset.db_engine_specs.bigquery import BigQueryEngineSpec
from superset.db_engine_specs.hive import HiveEngineSpec
from superset.db_engine_specs.mssql import MssqlEngineSpec
from superset.db_engine_specs.mysql import MySQLEngineSpec
from superset.db_engine_specs.oracle import OracleEngineSpec
from superset.db_engine_specs.pinot import PinotEngineSpec
from superset.db_engine_specs.postgres import PostgresEngineSpec
from superset.db_engine_specs.presto import PrestoEngineSpec
from superset.models.core import Database
from .base_tests import SupersetTestCase
class DbEngineSpecsTestCase(SupersetTestCase):
def test_0_progress(self):
log = """
17/02/07 18:26:27 INFO log.PerfLogger: <PERFLOG method=compile from=org.apache.hadoop.hive.ql.Driver>
17/02/07 18:26:27 INFO log.PerfLogger: <PERFLOG method=parse from=org.apache.hadoop.hive.ql.Driver>
""".split('\n') # noqa ignore: E501
self.assertEquals(
0, HiveEngineSpec.progress(log))
def test_number_of_jobs_progress(self):
log = """
17/02/07 19:15:55 INFO ql.Driver: Total jobs = 2
""".split('\n')
self.assertEquals(0, HiveEngineSpec.progress(log))
def test_job_1_launched_progress(self):
log = """
17/02/07 19:15:55 INFO ql.Driver: Total jobs = 2
17/02/07 19:15:55 INFO ql.Driver: Launching Job 1 out of 2
""".split('\n')
self.assertEquals(0, HiveEngineSpec.progress(log))
def test_job_1_launched_stage_1_0_progress(self):
log = """
17/02/07 19:15:55 INFO ql.Driver: Total jobs = 2
17/02/07 19:15:55 INFO ql.Driver: Launching Job 1 out of 2
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 0%, reduce = 0%
""".split('\n') # noqa ignore: E501
self.assertEquals(0, HiveEngineSpec.progress(log))
def test_job_1_launched_stage_1_map_40_progress(self):
log = """
17/02/07 19:15:55 INFO ql.Driver: Total jobs = 2
17/02/07 19:15:55 INFO ql.Driver: Launching Job 1 out of 2
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 0%, reduce = 0%
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 40%, reduce = 0%
""".split('\n') # noqa ignore: E501
self.assertEquals(10, HiveEngineSpec.progress(log))
def test_job_1_launched_stage_1_map_80_reduce_40_progress(self):
log = """
17/02/07 19:15:55 INFO ql.Driver: Total jobs = 2
17/02/07 19:15:55 INFO ql.Driver: Launching Job 1 out of 2
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 0%, reduce = 0%
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 40%, reduce = 0%
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 80%, reduce = 40%
""".split('\n') # noqa ignore: E501
self.assertEquals(30, HiveEngineSpec.progress(log))
def test_job_1_launched_stage_2_stages_progress(self):
log = """
17/02/07 19:15:55 INFO ql.Driver: Total jobs = 2
17/02/07 19:15:55 INFO ql.Driver: Launching Job 1 out of 2
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 0%, reduce = 0%
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 40%, reduce = 0%
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 80%, reduce = 40%
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-2 map = 0%, reduce = 0%
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 100%, reduce = 0%
""".split('\n') # noqa ignore: E501
self.assertEquals(12, HiveEngineSpec.progress(log))
def test_job_2_launched_stage_2_stages_progress(self):
log = """
17/02/07 19:15:55 INFO ql.Driver: Total jobs = 2
17/02/07 19:15:55 INFO ql.Driver: Launching Job 1 out of 2
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 100%, reduce = 0%
17/02/07 19:15:55 INFO ql.Driver: Launching Job 2 out of 2
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 0%, reduce = 0%
17/02/07 19:16:09 INFO exec.Task: 2017-02-07 19:16:09,173 Stage-1 map = 40%, reduce = 0%
""".split('\n') # noqa ignore: E501
self.assertEquals(60, HiveEngineSpec.progress(log))
def test_hive_error_msg(self):
msg = (
'{...} errorMessage="Error while compiling statement: FAILED: '
'SemanticException [Error 10001]: Line 4'
':5 Table not found \'fact_ridesfdslakj\'", statusCode=3, '
"sqlState='42S02', errorCode=10001)){...}")
self.assertEquals((
'Error while compiling statement: FAILED: '
'SemanticException [Error 10001]: Line 4:5 '
"Table not found 'fact_ridesfdslakj'"),
HiveEngineSpec.extract_error_message(Exception(msg)))
e = Exception("Some string that doesn't match the regex")
self.assertEquals(
str(e), HiveEngineSpec.extract_error_message(e))
msg = (
'errorCode=10001, '
'errorMessage="Error while compiling statement"), operationHandle'
'=None)"'
)
self.assertEquals((
'Error while compiling statement'),
HiveEngineSpec.extract_error_message(Exception(msg)))
def get_generic_database(self):
return Database(sqlalchemy_uri='sqlite://')
def sql_limit_regex(
self, sql, expected_sql,
engine_spec_class=MySQLEngineSpec,
limit=1000):
main = self.get_generic_database()
limited = engine_spec_class.apply_limit_to_sql(sql, limit, main)
self.assertEquals(expected_sql, limited)
def test_extract_limit_from_query(self, engine_spec_class=MySQLEngineSpec):
q0 = 'select * from table'
q1 = 'select * from mytable limit 10'
q2 = 'select * from (select * from my_subquery limit 10) where col=1 limit 20'
q3 = 'select * from (select * from my_subquery limit 10);'
q4 = 'select * from (select * from my_subquery limit 10) where col=1 limit 20;'
q5 = 'select * from mytable limit 10, 20'
q6 = 'select * from mytable limit 10 offset 20'
q7 = 'select * from mytable limit'
q8 = 'select * from mytable limit 10.0'
q9 = 'select * from mytable limit x'
q10 = 'select * from mytable limit x, 20'
q11 = 'select * from mytable limit x offset 20'
self.assertEqual(engine_spec_class.get_limit_from_sql(q0), None)
self.assertEqual(engine_spec_class.get_limit_from_sql(q1), 10)
self.assertEqual(engine_spec_class.get_limit_from_sql(q2), 20)
self.assertEqual(engine_spec_class.get_limit_from_sql(q3), None)
self.assertEqual(engine_spec_class.get_limit_from_sql(q4), 20)
self.assertEqual(engine_spec_class.get_limit_from_sql(q5), 10)
self.assertEqual(engine_spec_class.get_limit_from_sql(q6), 10)
self.assertEqual(engine_spec_class.get_limit_from_sql(q7), None)
self.assertEqual(engine_spec_class.get_limit_from_sql(q8), None)
self.assertEqual(engine_spec_class.get_limit_from_sql(q9), None)
self.assertEqual(engine_spec_class.get_limit_from_sql(q10), None)
self.assertEqual(engine_spec_class.get_limit_from_sql(q11), None)
def test_wrapped_query(self):
self.sql_limit_regex(
'SELECT * FROM a',
'SELECT * \nFROM (SELECT * FROM a) AS inner_qry\n LIMIT 1000 OFFSET 0',
MssqlEngineSpec,
)
@unittest.skipUnless(
SupersetTestCase.is_module_installed('MySQLdb'), 'mysqlclient not installed')
def test_wrapped_semi_tabs(self):
self.sql_limit_regex(
'SELECT * FROM a \t \n ; \t \n ',
'SELECT * FROM a\nLIMIT 1000',
)
def test_simple_limit_query(self):
self.sql_limit_regex(
'SELECT * FROM a',
'SELECT * FROM a\nLIMIT 1000',
)
def test_modify_limit_query(self):
self.sql_limit_regex(
'SELECT * FROM a LIMIT 9999',
'SELECT * FROM a LIMIT 1000',
)
def test_limit_query_with_limit_subquery(self):
self.sql_limit_regex(
'SELECT * FROM (SELECT * FROM a LIMIT 10) LIMIT 9999',
'SELECT * FROM (SELECT * FROM a LIMIT 10) LIMIT 1000',
)
def test_limit_with_expr(self):
self.sql_limit_regex(
"""
SELECT
'LIMIT 777' AS a
, b
FROM
table
LIMIT 99990""",
"""SELECT
'LIMIT 777' AS a
, b
FROM
table
LIMIT 1000""",
)
def test_limit_expr_and_semicolon(self):
self.sql_limit_regex(
"""
SELECT
'LIMIT 777' AS a
, b
FROM
table
LIMIT 99990 ;""",
"""SELECT
'LIMIT 777' AS a
, b
FROM
table
LIMIT 1000""",
)
@unittest.skipUnless(
SupersetTestCase.is_module_installed('MySQLdb'), 'mysqlclient not installed')
def test_get_datatype_mysql(self):
self.assertEquals('TINY', MySQLEngineSpec.get_datatype(1))
self.assertEquals('VARCHAR', MySQLEngineSpec.get_datatype(15))
@unittest.skipUnless(
SupersetTestCase.is_module_installed('pyhive'), 'pyhive not installed')
def test_get_datatype_presto(self):
self.assertEquals('STRING', PrestoEngineSpec.get_datatype('string'))
def test_get_datatype(self):
self.assertEquals('VARCHAR', BaseEngineSpec.get_datatype('VARCHAR'))
def test_limit_with_implicit_offset(self):
self.sql_limit_regex(
"""
SELECT
'LIMIT 777' AS a
, b
FROM
table
LIMIT 99990, 999999""",
"""SELECT
'LIMIT 777' AS a
, b
FROM
table
LIMIT 99990, 1000""",
)
def test_limit_with_explicit_offset(self):
self.sql_limit_regex(
"""
SELECT
'LIMIT 777' AS a
, b
FROM
table
LIMIT 99990
OFFSET 999999""",
"""SELECT
'LIMIT 777' AS a
, b
FROM
table
LIMIT 1000
OFFSET 999999""",
)
def test_limit_with_non_token_limit(self):
self.sql_limit_regex(
"""SELECT 'LIMIT 777'""",
"""SELECT 'LIMIT 777'\nLIMIT 1000""",
)
def test_time_grain_blacklist(self):
blacklist = ['PT1M']
time_grains = {
'PT1S': 'second',
'PT1M': 'minute',
}
time_grain_functions = {
'PT1S': '{col}',
'PT1M': '{col}',
}
time_grains = create_time_grains_tuple(time_grains,
time_grain_functions,
blacklist)
self.assertEqual(1, len(time_grains))
self.assertEqual('PT1S', time_grains[0].duration)
def test_engine_time_grain_validity(self):
time_grains = set(builtin_time_grains.keys())
# loop over all subclasses of BaseEngineSpec
for engine in engines.values():
if engine is not BaseEngineSpec:
# make sure time grain functions have been defined
self.assertGreater(len(engine.time_grain_functions), 0)
# make sure that all defined time grains are supported
defined_grains = {grain.duration for grain in engine.get_time_grains()}
intersection = time_grains.intersection(defined_grains)
self.assertSetEqual(defined_grains, intersection, engine)
def test_presto_get_view_names_return_empty_list(self):
self.assertEquals([], PrestoEngineSpec.get_view_names(mock.ANY, mock.ANY))
def verify_presto_column(self, column, expected_results):
inspector = mock.Mock()
inspector.engine.dialect.identifier_preparer.quote_identifier = mock.Mock()
keymap = {'Column': (None, None, 0),
'Type': (None, None, 1),
'Null': (None, None, 2)}
row = RowProxy(mock.Mock(), column, [None, None, None, None], keymap)
inspector.bind.execute = mock.Mock(return_value=[row])
results = PrestoEngineSpec.get_columns(inspector, '', '')
self.assertEqual(len(expected_results), len(results))
for expected_result, result in zip(expected_results, results):
self.assertEqual(expected_result[0], result['name'])
self.assertEqual(expected_result[1], str(result['type']))
def test_presto_get_column(self):
presto_column = ('column_name', 'boolean', '')
expected_results = [('column_name', 'BOOLEAN')]
self.verify_presto_column(presto_column, expected_results)
def test_presto_get_simple_row_column(self):
presto_column = ('column_name', 'row(nested_obj double)', '')
expected_results = [
('column_name', 'ROW'),
('column_name.nested_obj', 'FLOAT')]
self.verify_presto_column(presto_column, expected_results)
def test_presto_get_simple_row_column_with_name_containing_whitespace(self):
presto_column = ('column name', 'row(nested_obj double)', '')
expected_results = [
('column name', 'ROW'),
('column name.nested_obj', 'FLOAT')]
self.verify_presto_column(presto_column, expected_results)
def test_presto_get_simple_row_column_with_tricky_nested_field_name(self):
presto_column = ('column_name', 'row("Field Name(Tricky, Name)" double)', '')
expected_results = [
('column_name', 'ROW'),
('column_name."Field Name(Tricky, Name)"', 'FLOAT')]
self.verify_presto_column(presto_column, expected_results)
def test_presto_get_simple_array_column(self):
presto_column = ('column_name', 'array(double)', '')
expected_results = [('column_name', 'ARRAY')]
self.verify_presto_column(presto_column, expected_results)
def test_presto_get_row_within_array_within_row_column(self):
presto_column = (
'column_name',
'row(nested_array array(row(nested_row double)), nested_obj double)', '')
expected_results = [
('column_name', 'ROW'),
('column_name.nested_array', 'ARRAY'),
('column_name.nested_array.nested_row', 'FLOAT'),
('column_name.nested_obj', 'FLOAT'),
]
self.verify_presto_column(presto_column, expected_results)
def test_presto_get_array_within_row_within_array_column(self):
presto_column = (
'column_name',
'array(row(nested_array array(double), nested_obj double))', '')
expected_results = [
('column_name', 'ARRAY'),
('column_name.nested_array', 'ARRAY'),
('column_name.nested_obj', 'FLOAT')]
self.verify_presto_column(presto_column, expected_results)
def test_presto_get_fields(self):
cols = [
{'name': 'column'},
{'name': 'column.nested_obj'},
{'name': 'column."quoted.nested obj"'}]
actual_results = PrestoEngineSpec._get_fields(cols)
expected_results = [
{'name': '"column"', 'label': 'column'},
{'name': '"column"."nested_obj"', 'label': 'column.nested_obj'},
{'name': '"column"."quoted.nested obj"',
'label': 'column."quoted.nested obj"'}]
for actual_result, expected_result in zip(actual_results, expected_results):
self.assertEqual(actual_result.element.name, expected_result['name'])
self.assertEqual(actual_result.name, expected_result['label'])
def test_presto_filter_out_array_nested_cols(self):
cols = [
{'name': 'column', 'type': 'ARRAY'},
{'name': 'column.nested_obj', 'type': 'FLOAT'}]
actual_filtered_cols,\
actual_array_cols = PrestoEngineSpec._filter_out_array_nested_cols(cols)
expected_filtered_cols = [{'name': 'column', 'type': 'ARRAY'}]
self.assertEqual(actual_filtered_cols, expected_filtered_cols)
self.assertEqual(actual_array_cols, cols)
def test_presto_create_row_and_array_hierarchy(self):
cols = [
{'name': 'row_column',
'type': 'ROW(NESTED_OBJ1 VARCHAR, NESTED_ROW ROW(NESTED_OBJ2 VARCHAR)'},
{'name': 'array_column',
'type': 'ARRAY(ROW(NESTED_ARRAY ARRAY(ROW(NESTED_OBJ VARCHAR))))'}]
actual_row_col_hierarchy,\
actual_array_col_hierarchy,\
actual_expanded_cols = PrestoEngineSpec._create_row_and_array_hierarchy(cols)
expected_row_col_hierarchy = {
'row_column': {
'type': 'ROW',
'children': ['row_column.nested_obj1', 'row_column.nested_row'],
},
'row_column.nested_row': {
'type': 'ROW',
'children': ['row_column.nested_row.nested_obj2']},
}
expected_array_col_hierarchy = {
'array_column': {
'type': 'ARRAY',
'children': ['array_column.nested_array'],
},
'array_column.nested_array': {
'type': 'ARRAY',
'children': ['array_column.nested_array.nested_obj']},
}
expected_expanded_cols = [
{'name': 'row_column.nested_obj1', 'type': 'VARCHAR'},
{'name': 'row_column.nested_row', 'type': 'ROW'},
{'name': 'row_column.nested_row.nested_obj2', 'type': 'VARCHAR'},
{'name': 'array_column.nested_array', 'type': 'ARRAY'},
{'name': 'array_column.nested_array.nested_obj', 'type': 'VARCHAR'}]
self.assertEqual(actual_row_col_hierarchy, expected_row_col_hierarchy)
self.assertEqual(actual_array_col_hierarchy, expected_array_col_hierarchy)
self.assertEqual(actual_expanded_cols, expected_expanded_cols)
def test_presto_expand_row_data(self):
datum = {'row_col': [1, 'a']}
row_column = 'row_col'
row_col_hierarchy = {
'row_col': {
'type': 'ROW',
'children': ['row_col.nested_int', 'row_col.nested_str'],
},
}
PrestoEngineSpec._expand_row_data(datum, row_column, row_col_hierarchy)
expected_datum = {
'row_col': [1, 'a'], 'row_col.nested_int': 1, 'row_col.nested_str': 'a',
}
self.assertEqual(datum, expected_datum)
def test_split_array_columns_by_process_state(self):
array_cols = ['array_column', 'array_column.nested_array']
array_col_hierarchy = {
'array_column': {
'type': 'ARRAY',
'children': ['array_column.nested_array'],
},
'array_column.nested_array': {
'type': 'ARRAY',
'children': ['array_column.nested_array.nested_obj']},
}
datum = {'array_column': [[[1], [2]]]}
actual_array_cols_to_process, actual_unprocessed_array_cols = \
PrestoEngineSpec._split_array_columns_by_process_state(
array_cols, array_col_hierarchy, datum)
expected_array_cols_to_process = ['array_column']
expected_unprocessed_array_cols = {'array_column.nested_array'}
self.assertEqual(actual_array_cols_to_process, expected_array_cols_to_process)
self.assertEqual(actual_unprocessed_array_cols, expected_unprocessed_array_cols)
def test_presto_convert_data_list_to_array_data_dict(self):
data = [
{'array_column': [1, 2], 'int_column': 3},
{'array_column': [11, 22], 'int_column': 33},
]
array_columns_to_process = ['array_column']
actual_array_data_dict = PrestoEngineSpec._convert_data_list_to_array_data_dict(
data, array_columns_to_process)
expected_array_data_dict = {
0: [{'array_column': [1, 2]}],
1: [{'array_column': [11, 22]}]}
self.assertEqual(actual_array_data_dict, expected_array_data_dict)
def test_presto_process_array_data(self):
data = [
{'array_column': [[1], [2]], 'int_column': 3},
{'array_column': [[11], [22]], 'int_column': 33},
]
all_columns = [
{'name': 'array_column', 'type': 'ARRAY'},
{'name': 'array_column.nested_row', 'type': 'BIGINT'},
{'name': 'int_column', 'type': 'BIGINT'},
]
array_column_hierarchy = {
'array_column': {
'type': 'ARRAY',
'children': ['array_column.nested_row'],
},
}
actual_array_data = PrestoEngineSpec._process_array_data(
data, all_columns, array_column_hierarchy)
expected_array_data = {
0: [
{'array_column': [[1], [2]], 'array_column.nested_row': 1},
{'array_column': '', 'array_column.nested_row': 2, 'int_column': ''},
],
1: [
{'array_column': [[11], [22]], 'array_column.nested_row': 11},
{'array_column': '', 'array_column.nested_row': 22, 'int_column': ''},
],
}
self.assertEqual(actual_array_data, expected_array_data)
def test_presto_consolidate_array_data_into_data(self):
data = [
{'arr_col': [[1], [2]], 'int_col': 3},
{'arr_col': [[11], [22]], 'int_col': 33},
]
array_data = {
0: [
{'arr_col': [[1], [2]], 'arr_col.nested_row': 1},
{'arr_col': '', 'arr_col.nested_row': 2, 'int_col': ''},
],
1: [
{'arr_col': [[11], [22]], 'arr_col.nested_row': 11},
{'arr_col': '', 'arr_col.nested_row': 22, 'int_col': ''},
],
}
PrestoEngineSpec._consolidate_array_data_into_data(data, array_data)
expected_data = [
{'arr_col': [[1], [2]], 'arr_col.nested_row': 1, 'int_col': 3},
{'arr_col': '', 'arr_col.nested_row': 2, 'int_col': ''},
{'arr_col': [[11], [22]], 'arr_col.nested_row': 11, 'int_col': 33},
{'arr_col': '', 'arr_col.nested_row': 22, 'int_col': ''},
]
self.assertEqual(data, expected_data)
def test_presto_remove_processed_array_columns(self):
array_col_hierarchy = {
'array_column': {
'type': 'ARRAY',
'children': ['array_column.nested_array'],
},
'array_column.nested_array': {
'type': 'ARRAY',
'children': ['array_column.nested_array.nested_obj']},
}
unprocessed_array_cols = {'array_column.nested_array'}
PrestoEngineSpec._remove_processed_array_columns(
unprocessed_array_cols, array_col_hierarchy)
expected_array_col_hierarchy = {
'array_column.nested_array': {
'type': 'ARRAY',
'children': ['array_column.nested_array.nested_obj']},
}
self.assertEqual(array_col_hierarchy, expected_array_col_hierarchy)
def test_presto_expand_data_with_simple_structural_columns(self):
cols = [
{'name': 'row_column', 'type': 'ROW(NESTED_OBJ VARCHAR)'},
{'name': 'array_column', 'type': 'ARRAY(BIGINT)'}]
data = [
{'row_column': ['a'], 'array_column': [1, 2, 3]},
{'row_column': ['b'], 'array_column': [4, 5, 6]}]
actual_cols, actual_data, actual_expanded_cols = PrestoEngineSpec.expand_data(
cols, data)
expected_cols = [
{'name': 'row_column', 'type': 'ROW'},
{'name': 'row_column.nested_obj', 'type': 'VARCHAR'},
{'name': 'array_column', 'type': 'ARRAY'}]
expected_data = [
{'row_column': ['a'], 'row_column.nested_obj': 'a', 'array_column': 1},
{'row_column': '', 'row_column.nested_obj': '', 'array_column': 2},
{'row_column': '', 'row_column.nested_obj': '', 'array_column': 3},
{'row_column': ['b'], 'row_column.nested_obj': 'b', 'array_column': 4},
{'row_column': '', 'row_column.nested_obj': '', 'array_column': 5},
{'row_column': '', 'row_column.nested_obj': '', 'array_column': 6}]
expected_expanded_cols = [
{'name': 'row_column.nested_obj', 'type': 'VARCHAR'}]
self.assertEqual(actual_cols, expected_cols)
self.assertEqual(actual_data, expected_data)
self.assertEqual(actual_expanded_cols, expected_expanded_cols)
def test_presto_expand_data_with_complex_row_columns(self):
cols = [
{'name': 'row_column',
'type': 'ROW(NESTED_OBJ1 VARCHAR, NESTED_ROW ROW(NESTED_OBJ2 VARCHAR)'}]
data = [
{'row_column': ['a1', ['a2']]},
{'row_column': ['b1', ['b2']]}]
actual_cols, actual_data, actual_expanded_cols = PrestoEngineSpec.expand_data(
cols, data)
expected_cols = [
{'name': 'row_column', 'type': 'ROW'},
{'name': 'row_column.nested_obj1', 'type': 'VARCHAR'},
{'name': 'row_column.nested_row', 'type': 'ROW'},
{'name': 'row_column.nested_row.nested_obj2', 'type': 'VARCHAR'}]
expected_data = [
{'row_column': ['a1', ['a2']],
'row_column.nested_obj1': 'a1',
'row_column.nested_row': ['a2'],
'row_column.nested_row.nested_obj2': 'a2'},
{'row_column': ['b1', ['b2']],
'row_column.nested_obj1': 'b1',
'row_column.nested_row': ['b2'],
'row_column.nested_row.nested_obj2': 'b2'}]
expected_expanded_cols = [
{'name': 'row_column.nested_obj1', 'type': 'VARCHAR'},
{'name': 'row_column.nested_row', 'type': 'ROW'},
{'name': 'row_column.nested_row.nested_obj2', 'type': 'VARCHAR'}]
self.assertEqual(actual_cols, expected_cols)
self.assertEqual(actual_data, expected_data)
self.assertEqual(actual_expanded_cols, expected_expanded_cols)
def test_presto_expand_data_with_complex_array_columns(self):
cols = [
{'name': 'int_column', 'type': 'BIGINT'},
{'name': 'array_column',
'type': 'ARRAY(ROW(NESTED_ARRAY ARRAY(ROW(NESTED_OBJ VARCHAR))))'}]
data = [
{'int_column': 1, 'array_column': [[[['a'], ['b']]], [[['c'], ['d']]]]},
{'int_column': 2, 'array_column': [[[['e'], ['f']]], [[['g'], ['h']]]]}]
actual_cols, actual_data, actual_expanded_cols = PrestoEngineSpec.expand_data(
cols, data)
expected_cols = [
{'name': 'int_column', 'type': 'BIGINT'},
{'name': 'array_column', 'type': 'ARRAY'},
{'name': 'array_column.nested_array', 'type': 'ARRAY'},
{'name': 'array_column.nested_array.nested_obj', 'type': 'VARCHAR'}]
expected_data = [
{'int_column': 1,
'array_column': [[[['a'], ['b']]], [[['c'], ['d']]]],
'array_column.nested_array': [['a'], ['b']],
'array_column.nested_array.nested_obj': 'a'},
{'int_column': '',
'array_column': '',
'array_column.nested_array': '',
'array_column.nested_array.nested_obj': 'b'},
{'int_column': '',
'array_column': '',
'array_column.nested_array': [['c'], ['d']],
'array_column.nested_array.nested_obj': 'c'},
{'int_column': '',
'array_column': '',
'array_column.nested_array': '',
'array_column.nested_array.nested_obj': 'd'},
{'int_column': 2,
'array_column': [[[['e'], ['f']]], [[['g'], ['h']]]],
'array_column.nested_array': [['e'], ['f']],
'array_column.nested_array.nested_obj': 'e'},
{'int_column': '',
'array_column': '',
'array_column.nested_array': '',
'array_column.nested_array.nested_obj': 'f'},
{'int_column': '',
'array_column': '',
'array_column.nested_array': [['g'], ['h']],
'array_column.nested_array.nested_obj': 'g'},
{'int_column': '',
'array_column': '',
'array_column.nested_array': '',
'array_column.nested_array.nested_obj': 'h'}]
expected_expanded_cols = [
{'name': 'array_column.nested_array', 'type': 'ARRAY'},
{'name': 'array_column.nested_array.nested_obj', 'type': 'VARCHAR'}]
self.assertEqual(actual_cols, expected_cols)
self.assertEqual(actual_data, expected_data)
self.assertEqual(actual_expanded_cols, expected_expanded_cols)
def test_hive_get_view_names_return_empty_list(self):
self.assertEquals([], HiveEngineSpec.get_view_names(mock.ANY, mock.ANY))
def test_bigquery_sqla_column_label(self):
label = BigQueryEngineSpec.make_label_compatible(column('Col').name)
label_expected = 'Col'
self.assertEqual(label, label_expected)
label = BigQueryEngineSpec.make_label_compatible(column('SUM(x)').name)
label_expected = 'SUM_x__5f110'
self.assertEqual(label, label_expected)
label = BigQueryEngineSpec.make_label_compatible(column('SUM[x]').name)
label_expected = 'SUM_x__7ebe1'
self.assertEqual(label, label_expected)
label = BigQueryEngineSpec.make_label_compatible(column('12345_col').name)
label_expected = '_12345_col_8d390'
self.assertEqual(label, label_expected)
def test_oracle_sqla_column_name_length_exceeded(self):
col = column('This_Is_32_Character_Column_Name')
label = OracleEngineSpec.make_label_compatible(col.name)
self.assertEqual(label.quote, True)
label_expected = '3b26974078683be078219674eeb8f5'
self.assertEqual(label, label_expected)
def test_mssql_column_types(self):
def assert_type(type_string, type_expected):
type_assigned = MssqlEngineSpec.get_sqla_column_type(type_string)
if type_expected is None:
self.assertIsNone(type_assigned)
else:
self.assertIsInstance(type_assigned, type_expected)
assert_type('INT', None)
assert_type('STRING', String)
assert_type('CHAR(10)', String)
assert_type('VARCHAR(10)', String)
assert_type('TEXT', String)
assert_type('NCHAR(10)', UnicodeText)
assert_type('NVARCHAR(10)', UnicodeText)
assert_type('NTEXT', UnicodeText)
def test_mssql_where_clause_n_prefix(self):
dialect = mssql.dialect()
spec = MssqlEngineSpec
str_col = column('col', type_=spec.get_sqla_column_type('VARCHAR(10)'))
unicode_col = column('unicode_col', type_=spec.get_sqla_column_type('NTEXT'))
tbl = table('tbl')
sel = select([str_col, unicode_col]).\
select_from(tbl).\
where(str_col == 'abc').\
where(unicode_col == 'abc')
query = str(sel.compile(dialect=dialect, compile_kwargs={'literal_binds': True}))
query_expected = 'SELECT col, unicode_col \n' \
'FROM tbl \n' \
"WHERE col = 'abc' AND unicode_col = N'abc'"
self.assertEqual(query, query_expected)
def test_get_table_names(self):
inspector = mock.Mock()
inspector.get_table_names = mock.Mock(return_value=['schema.table', 'table_2'])
inspector.get_foreign_table_names = mock.Mock(return_value=['table_3'])
""" Make sure base engine spec removes schema name from table name
ie. when try_remove_schema_from_table_name == True. """
base_result_expected = ['table', 'table_2']
base_result = BaseEngineSpec.get_table_names(
schema='schema', inspector=inspector)
self.assertListEqual(base_result_expected, base_result)
""" Make sure postgres doesn't try to remove schema name from table name
ie. when try_remove_schema_from_table_name == False. """
pg_result_expected = ['schema.table', 'table_2', 'table_3']
pg_result = PostgresEngineSpec.get_table_names(
schema='schema', inspector=inspector)
self.assertListEqual(pg_result_expected, pg_result)
def test_pg_time_expression_literal_no_grain(self):
col = literal_column('COALESCE(a, b)')
expr = PostgresEngineSpec.get_timestamp_expr(col, None, None)
result = str(expr.compile(dialect=postgresql.dialect()))
self.assertEqual(result, 'COALESCE(a, b)')
def test_pg_time_expression_literal_1y_grain(self):
col = literal_column('COALESCE(a, b)')
expr = PostgresEngineSpec.get_timestamp_expr(col, None, 'P1Y')
result = str(expr.compile(dialect=postgresql.dialect()))
self.assertEqual(result, "DATE_TRUNC('year', COALESCE(a, b))")
def test_pg_time_expression_lower_column_no_grain(self):
col = column('lower_case')
expr = PostgresEngineSpec.get_timestamp_expr(col, None, None)
result = str(expr.compile(dialect=postgresql.dialect()))
self.assertEqual(result, 'lower_case')
def test_pg_time_expression_lower_case_column_sec_1y_grain(self):
col = column('lower_case')
expr = PostgresEngineSpec.get_timestamp_expr(col, 'epoch_s', 'P1Y')
result = str(expr.compile(dialect=postgresql.dialect()))
self.assertEqual(result, "DATE_TRUNC('year', (timestamp 'epoch' + lower_case * interval '1 second'))") # noqa
def test_pg_time_expression_mixed_case_column_1y_grain(self):
col = column('MixedCase')
expr = PostgresEngineSpec.get_timestamp_expr(col, None, 'P1Y')
result = str(expr.compile(dialect=postgresql.dialect()))
self.assertEqual(result, "DATE_TRUNC('year', \"MixedCase\")")
def test_mssql_time_expression_mixed_case_column_1y_grain(self):
col = column('MixedCase')
expr = MssqlEngineSpec.get_timestamp_expr(col, None, 'P1Y')
result = str(expr.compile(dialect=mssql.dialect()))
self.assertEqual(result, 'DATEADD(year, DATEDIFF(year, 0, [MixedCase]), 0)')
def test_oracle_time_expression_reserved_keyword_1m_grain(self):
col = column('decimal')
expr = OracleEngineSpec.get_timestamp_expr(col, None, 'P1M')
result = str(expr.compile(dialect=oracle.dialect()))
self.assertEqual(result, "TRUNC(CAST(\"decimal\" as DATE), 'MONTH')")
def test_pinot_time_expression_sec_1m_grain(self):
col = column('tstamp')
expr = PinotEngineSpec.get_timestamp_expr(col, 'epoch_s', 'P1M')
result = str(expr.compile())
self.assertEqual(result, 'DATETIMECONVERT(tstamp, "1:SECONDS:EPOCH", "1:SECONDS:EPOCH", "1:MONTHS")') # noqa
def test_column_datatype_to_string(self):
main_db = self.get_main_database()
sqla_table = main_db.get_table('energy_usage')
dialect = main_db.get_dialect()
col_names = [
main_db.db_engine_spec.column_datatype_to_string(c.type, dialect)
for c in sqla_table.columns
]
if main_db.backend == 'postgresql':
expected = ['VARCHAR(255)', 'VARCHAR(255)', 'DOUBLE PRECISION']
else:
expected = ['VARCHAR(255)', 'VARCHAR(255)', 'FLOAT']
self.assertEquals(col_names, expected)
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