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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
import pandas as pd
from sqlalchemy import column, literal_column, table
from sqlalchemy.dialects import mssql, oracle, postgresql
from sqlalchemy.engine.result import RowProxy
from sqlalchemy.sql import select
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"
)
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"
)
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"
)
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"
)
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"
)
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"
)
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( # noqa ignore: E50
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( # noqa ignore: E50
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( # noqa ignore: E50
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_presto_extra_table_metadata(self):
db = mock.Mock()
db.get_indexes = mock.Mock(return_value=[{'column_names': ['ds', 'hour']}])
df = pd.DataFrame({'ds': ['01-01-19'], 'hour': [1]})
db.get_df = mock.Mock(return_value=df)
result = PrestoEngineSpec.extra_table_metadata(db, 'test_table', 'test_schema')
self.assertEqual({'ds': '01-01-19', 'hour': 1}, result['partitions']['latest'])
def test_presto_where_latest_partition(self):
db = mock.Mock()
db.get_indexes = mock.Mock(return_value=[{'column_names': ['ds', 'hour']}])
df = pd.DataFrame({'ds': ['01-01-19'], 'hour': [1]})
db.get_df = mock.Mock(return_value=df)
columns = [{'name': 'ds'}, {'name': 'hour'}]
result = PrestoEngineSpec.where_latest_partition('test_table', 'test_schema', db, select(), columns)
query_result = str(result.compile(compile_kwargs={'literal_binds': True}))
self.assertEqual('SELECT \nWHERE ds = \'01-01-19\' AND hour = 1', query_result)
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 ignore: E50
)
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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