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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 import app
from superset.db_engine_specs import engines
from superset.db_engine_specs.base import BaseEngineSpec, builtin_time_grains
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.db_engine_specs.sqlite import SqliteEngineSpec
from superset.models.core import Database
from superset.utils.core import get_example_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(
(
"hive error: 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(f"hive error: {e}", HiveEngineSpec.extract_error_message(e))
msg = (
"errorCode=10001, "
'errorMessage="Error while compiling statement"), operationHandle'
'=None)"'
)
self.assertEquals(
("hive error: 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 20, 10"
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 20, x"
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):
with app.app_context():
app.config["TIME_GRAIN_BLACKLIST"] = ["PT1M"]
time_grain_functions = SqliteEngineSpec.get_time_grain_functions()
self.assertNotIn("PT1M", time_grain_functions)
def test_time_grain_addons(self):
with app.app_context():
app.config["TIME_GRAIN_ADDONS"] = {"PTXM": "x seconds"}
app.config["TIME_GRAIN_ADDON_FUNCTIONS"] = {
"sqlite": {"PTXM": "ABC({col})"}
}
time_grains = SqliteEngineSpec.get_time_grains()
time_grain_addon = time_grains[-1]
self.assertEqual("PTXM", time_grain_addon.duration)
self.assertEqual("x seconds", time_grain_addon.label)
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.get_time_grain_functions()), 0)
# make sure 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, 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)
@mock.patch.dict(
"superset._feature_flags", {"PRESTO_EXPAND_DATA": True}, clear=True
)
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)
@mock.patch.dict(
"superset._feature_flags", {"PRESTO_EXPAND_DATA": True}, clear=True
)
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)
@mock.patch.dict(
"superset._feature_flags", {"PRESTO_EXPAND_DATA": True}, clear=True
)
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)
@mock.patch.dict(
"superset._feature_flags", {"PRESTO_EXPAND_DATA": True}, clear=True
)
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)
@mock.patch.dict(
"superset._feature_flags", {"PRESTO_EXPAND_DATA": True}, clear=True
)
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)
@mock.patch.dict(
"superset._feature_flags", {"PRESTO_EXPAND_DATA": True}, clear=True
)
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"])
@mock.patch.dict(
"superset._feature_flags", {"PRESTO_EXPAND_DATA": True}, clear=True
)
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(NESTED_OBJ VARCHAR)"},
{"name": "row_column.nested_obj", "type": "VARCHAR"},
{"name": "array_column", "type": "ARRAY(BIGINT)"},
]
expected_data = [
{"array_column": 1, "row_column": ["a"], "row_column.nested_obj": "a"},
{"array_column": 2, "row_column": "", "row_column.nested_obj": ""},
{"array_column": 3, "row_column": "", "row_column.nested_obj": ""},
{"array_column": 4, "row_column": ["b"], "row_column.nested_obj": "b"},
{"array_column": 5, "row_column": "", "row_column.nested_obj": ""},
{"array_column": 6, "row_column": "", "row_column.nested_obj": ""},
]
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)
@mock.patch.dict(
"superset._feature_flags", {"PRESTO_EXPAND_DATA": True}, clear=True
)
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(NESTED_OBJ1 VARCHAR, NESTED_ROW ROW(NESTED_OBJ2 VARCHAR))",
},
{"name": "row_column.nested_row", "type": "ROW(NESTED_OBJ2 VARCHAR)"},
{"name": "row_column.nested_row.nested_obj2", "type": "VARCHAR"},
{"name": "row_column.nested_obj1", "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(NESTED_OBJ2 VARCHAR)"},
{"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)
@mock.patch.dict(
"superset._feature_flags", {"PRESTO_EXPAND_DATA": True}, clear=True
)
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(ROW(NESTED_ARRAY ARRAY(ROW(NESTED_OBJ VARCHAR))))",
},
{
"name": "array_column.nested_array",
"type": "ARRAY(ROW(NESTED_OBJ VARCHAR))",
},
{"name": "array_column.nested_array.nested_obj", "type": "VARCHAR"},
]
expected_data = [
{
"array_column": [[["a"], ["b"]]],
"array_column.nested_array": ["a"],
"array_column.nested_array.nested_obj": "a",
"int_column": 1,
},
{
"array_column": "",
"array_column.nested_array": ["b"],
"array_column.nested_array.nested_obj": "b",
"int_column": "",
},
{
"array_column": [[["c"], ["d"]]],
"array_column.nested_array": ["c"],
"array_column.nested_array.nested_obj": "c",
"int_column": "",
},
{
"array_column": "",
"array_column.nested_array": ["d"],
"array_column.nested_array.nested_obj": "d",
"int_column": "",
},
{
"array_column": [[["e"], ["f"]]],
"array_column.nested_array": ["e"],
"array_column.nested_array.nested_obj": "e",
"int_column": 2,
},
{
"array_column": "",
"array_column.nested_array": ["f"],
"array_column.nested_array.nested_obj": "f",
"int_column": "",
},
{
"array_column": [[["g"], ["h"]]],
"array_column.nested_array": ["g"],
"array_column.nested_array.nested_obj": "g",
"int_column": "",
},
{
"array_column": "",
"array_column.nested_array": ["h"],
"array_column.nested_array.nested_obj": "h",
"int_column": "",
},
]
expected_expanded_cols = [
{
"name": "array_column.nested_array",
"type": "ARRAY(ROW(NESTED_OBJ VARCHAR))",
},
{"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"]}])
db.get_extra = mock.Mock(return_value={})
df = pd.DataFrame({"ds": ["01-01-19"], "hour": [1]})
db.get_df = mock.Mock(return_value=df)
PrestoEngineSpec.get_create_view = mock.Mock(return_value=None)
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"]}])
db.get_extra = mock.Mock(return_value={})
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, 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(
database=mock.ANY, 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(
database=mock.ANY, 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):
example_db = get_example_database()
sqla_table = example_db.get_table("energy_usage")
dialect = example_db.get_dialect()
col_names = [
example_db.db_engine_spec.column_datatype_to_string(c.type, dialect)
for c in sqla_table.columns
]
if example_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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