thevar1able/ClickHouse
1
0
Fork 0
mirror of https://github.com/ClickHouse/ClickHouse.git synced 2024-11-25 17:12:03 +00:00
Code Issues Packages Projects Releases Wiki Activity
0f37304521
ClickHouse/tests/integration/test_dictionaries_all_layouts_and_sources/test.py
Alexander Kuzmenkov fecd84d3c0
Merge pull request #10915 from ClickHouse/aku/mongodb-uri 
Support MongoDB URI
2020-05-21 23:02:12 +03:00

416 lines
17 KiB
Python
Raw Blame History

import pytest
import os
from helpers.cluster import ClickHouseCluster
from dictionary import Field, Row, Dictionary, DictionaryStructure, Layout
from external_sources import SourceMySQL, SourceClickHouse, SourceFile, SourceExecutableCache, SourceExecutableHashed
from external_sources import SourceMongo, SourceMongoURI, SourceHTTP, SourceHTTPS, SourceRedis
import math
SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))
dict_configs_path = os.path.join(SCRIPT_DIR, 'configs/dictionaries')
FIELDS = {
"simple": [
Field("KeyField", 'UInt64', is_key=True, default_value_for_get=9999999),
Field("UInt8_", 'UInt8', default_value_for_get=55),
Field("UInt16_", 'UInt16', default_value_for_get=66),
Field("UInt32_", 'UInt32', default_value_for_get=77),
Field("UInt64_", 'UInt64', default_value_for_get=88),
Field("Int8_", 'Int8', default_value_for_get=-55),
Field("Int16_", 'Int16', default_value_for_get=-66),
Field("Int32_", 'Int32', default_value_for_get=-77),
Field("Int64_", 'Int64', default_value_for_get=-88),
Field("UUID_", 'UUID', default_value_for_get='550e8400-0000-0000-0000-000000000000'),
Field("Date_", 'Date', default_value_for_get='2018-12-30'),
Field("DateTime_", 'DateTime', default_value_for_get='2018-12-30 00:00:00'),
Field("String_", 'String', default_value_for_get='hi'),
Field("Float32_", 'Float32', default_value_for_get=555.11),
Field("Float64_", 'Float64', default_value_for_get=777.11),
Field("ParentKeyField", "UInt64", default_value_for_get=444, hierarchical=True)
],
"complex": [
Field("KeyField1", 'UInt64', is_key=True, default_value_for_get=9999999),
Field("KeyField2", 'String', is_key=True, default_value_for_get='xxxxxxxxx'),
Field("UInt8_", 'UInt8', default_value_for_get=55),
Field("UInt16_", 'UInt16', default_value_for_get=66),
Field("UInt32_", 'UInt32', default_value_for_get=77),
Field("UInt64_", 'UInt64', default_value_for_get=88),
Field("Int8_", 'Int8', default_value_for_get=-55),
Field("Int16_", 'Int16', default_value_for_get=-66),
Field("Int32_", 'Int32', default_value_for_get=-77),
Field("Int64_", 'Int64', default_value_for_get=-88),
Field("UUID_", 'UUID', default_value_for_get='550e8400-0000-0000-0000-000000000000'),
Field("Date_", 'Date', default_value_for_get='2018-12-30'),
Field("DateTime_", 'DateTime', default_value_for_get='2018-12-30 00:00:00'),
Field("String_", 'String', default_value_for_get='hi'),
Field("Float32_", 'Float32', default_value_for_get=555.11),
Field("Float64_", 'Float64', default_value_for_get=777.11),
],
"ranged": [
Field("KeyField1", 'UInt64', is_key=True),
Field("KeyField2", 'Date', is_range_key=True),
Field("StartDate", 'Date', range_hash_type='min'),
Field("EndDate", 'Date', range_hash_type='max'),
Field("UInt8_", 'UInt8', default_value_for_get=55),
Field("UInt16_", 'UInt16', default_value_for_get=66),
Field("UInt32_", 'UInt32', default_value_for_get=77),
Field("UInt64_", 'UInt64', default_value_for_get=88),
Field("Int8_", 'Int8', default_value_for_get=-55),
Field("Int16_", 'Int16', default_value_for_get=-66),
Field("Int32_", 'Int32', default_value_for_get=-77),
Field("Int64_", 'Int64', default_value_for_get=-88),
Field("UUID_", 'UUID', default_value_for_get='550e8400-0000-0000-0000-000000000000'),
Field("Date_", 'Date', default_value_for_get='2018-12-30'),
Field("DateTime_", 'DateTime', default_value_for_get='2018-12-30 00:00:00'),
Field("String_", 'String', default_value_for_get='hi'),
Field("Float32_", 'Float32', default_value_for_get=555.11),
Field("Float64_", 'Float64', default_value_for_get=777.11),
]
}
VALUES = {
"simple": [
[1, 22, 333, 4444, 55555, -6, -77,
-888, -999, '550e8400-e29b-41d4-a716-446655440003',
'1973-06-28', '1985-02-28 23:43:25', 'hello', 22.543, 3332154213.4, 0],
[2, 3, 4, 5, 6, -7, -8,
-9, -10, '550e8400-e29b-41d4-a716-446655440002',
'1978-06-28', '1986-02-28 23:42:25', 'hello', 21.543, 3222154213.4, 1]
],
"complex": [
[1, 'world', 22, 333, 4444, 55555, -6,
-77, -888, -999, '550e8400-e29b-41d4-a716-446655440003',
'1973-06-28', '1985-02-28 23:43:25',
'hello', 22.543, 3332154213.4],
[2, 'qwerty2', 52, 2345, 6544, 9191991, -2,
-717, -81818, -92929, '550e8400-e29b-41d4-a716-446655440007',
'1975-09-28', '2000-02-28 23:33:24',
'my', 255.543, 3332221.44]
],
"ranged": [
[1, '2019-02-10', '2019-02-01', '2019-02-28',
22, 333, 4444, 55555, -6, -77, -888, -999,
'550e8400-e29b-41d4-a716-446655440003',
'1973-06-28', '1985-02-28 23:43:25', 'hello',
22.543, 3332154213.4],
[2, '2019-04-10', '2019-04-01', '2019-04-28',
11, 3223, 41444, 52515, -65, -747, -8388, -9099,
'550e8400-e29b-41d4-a716-446655440004',
'1973-06-29', '2002-02-28 23:23:25', '!!!!',
32.543, 3332543.4]
]
}
LAYOUTS = [
Layout("flat"),
Layout("hashed"),
Layout("cache"),
Layout("complex_key_hashed"),
Layout("complex_key_cache"),
Layout("range_hashed"),
Layout("direct"),
Layout("complex_key_direct")
]
SOURCES = [
SourceMongo("MongoDB", "localhost", "27018", "mongo1", "27017", "root", "clickhouse"),
SourceMongoURI("MongoDB_URI", "localhost", "27018", "mongo1", "27017", "root", "clickhouse"),
SourceMySQL("MySQL", "localhost", "3308", "mysql1", "3306", "root", "clickhouse"),
SourceClickHouse("RemoteClickHouse", "localhost", "9000", "clickhouse1", "9000", "default", ""),
SourceClickHouse("LocalClickHouse", "localhost", "9000", "node", "9000", "default", ""),
SourceFile("File", "localhost", "9000", "node", "9000", "", ""),
SourceExecutableHashed("ExecutableHashed", "localhost", "9000", "node", "9000", "", ""),
SourceExecutableCache("ExecutableCache", "localhost", "9000", "node", "9000", "", ""),
SourceHTTP("SourceHTTP", "localhost", "9000", "clickhouse1", "9000", "", ""),
SourceHTTPS("SourceHTTPS", "localhost", "9000", "clickhouse1", "9000", "", ""),
]
DICTIONARIES = []
# Key-value dictionaries with onle one possible field for key
SOURCES_KV = [
SourceRedis("RedisSimple", "localhost", "6380", "redis1", "6379", "", "", storage_type="simple"),
SourceRedis("RedisHash", "localhost", "6380", "redis1", "6379", "", "", storage_type="hash_map"),
]
DICTIONARIES_KV = []
cluster = None
node = None
def get_dict(source, layout, fields, suffix_name=''):
global dict_configs_path
structure = DictionaryStructure(layout, fields)
dict_name = source.name + "_" + layout.name + '_' + suffix_name
dict_path = os.path.join(dict_configs_path, dict_name + '.xml')
dictionary = Dictionary(dict_name, structure, source, dict_path, "table_" + dict_name, fields)
dictionary.generate_config()
return dictionary
def setup_module(module):
global DICTIONARIES
global cluster
global node
global dict_configs_path
for f in os.listdir(dict_configs_path):
os.remove(os.path.join(dict_configs_path, f))
for layout in LAYOUTS:
for source in SOURCES:
if source.compatible_with_layout(layout):
DICTIONARIES.append(get_dict(source, layout, FIELDS[layout.layout_type]))
else:
print "Source", source.name, "incompatible with layout", layout.name
for layout in LAYOUTS:
field_keys = list(filter(lambda x: x.is_key, FIELDS[layout.layout_type]))
for source in SOURCES_KV:
if not source.compatible_with_layout(layout):
print "Source", source.name, "incompatible with layout", layout.name
continue
for field in FIELDS[layout.layout_type]:
if not (field.is_key or field.is_range or field.is_range_key):
DICTIONARIES_KV.append(get_dict(source, layout, field_keys + [field], field.name))
main_configs = []
for fname in os.listdir(dict_configs_path):
main_configs.append(os.path.join(dict_configs_path, fname))
cluster = ClickHouseCluster(__file__, base_configs_dir=os.path.join(SCRIPT_DIR, 'configs'))
node = cluster.add_instance('node', main_configs=main_configs, with_mysql=True, with_mongo=True, with_redis=True)
cluster.add_instance('clickhouse1')
@pytest.fixture(scope="module")
def started_cluster():
try:
cluster.start()
for dictionary in DICTIONARIES + DICTIONARIES_KV:
print "Preparing", dictionary.name
dictionary.prepare_source(cluster)
print "Prepared"
yield cluster
finally:
cluster.shutdown()
def get_dictionaries(fold, total_folds, all_dicts):
chunk_len = int(math.ceil(len(all_dicts) / float(total_folds)))
if chunk_len * fold >= len(all_dicts):
return []
return all_dicts[fold * chunk_len : (fold + 1) * chunk_len]
@pytest.mark.parametrize("fold", list(range(10)))
def test_simple_dictionaries(started_cluster, fold):
fields = FIELDS["simple"]
values = VALUES["simple"]
data = [Row(fields, vals) for vals in values]
all_simple_dicts = [d for d in DICTIONARIES if d.structure.layout.layout_type == "simple"]
simple_dicts = get_dictionaries(fold, 10, all_simple_dicts)
print "Length of dicts:", len(simple_dicts)
for dct in simple_dicts:
dct.load_data(data)
node.query("system reload dictionaries")
queries_with_answers = []
for dct in simple_dicts:
for row in data:
for field in fields:
if not field.is_key:
for query in dct.get_select_get_queries(field, row):
queries_with_answers.append((query, row.get_value_by_name(field.name)))
for query in dct.get_select_has_queries(field, row):
queries_with_answers.append((query, 1))
for query in dct.get_select_get_or_default_queries(field, row):
queries_with_answers.append((query, field.default_value_for_get))
for query in dct.get_hierarchical_queries(data[0]):
queries_with_answers.append((query, [1]))
for query in dct.get_hierarchical_queries(data[1]):
queries_with_answers.append((query, [2, 1]))
for query in dct.get_is_in_queries(data[0], data[1]):
queries_with_answers.append((query, 0))
for query in dct.get_is_in_queries(data[1], data[0]):
queries_with_answers.append((query, 1))
for query, answer in queries_with_answers:
print query
if isinstance(answer, list):
answer = str(answer).replace(' ', '')
assert node.query(query) == str(answer) + '\n'
@pytest.mark.parametrize("fold", list(range(10)))
def test_complex_dictionaries(started_cluster, fold):
fields = FIELDS["complex"]
values = VALUES["complex"]
data = [Row(fields, vals) for vals in values]
all_complex_dicts = [d for d in DICTIONARIES if d.structure.layout.layout_type == "complex"]
complex_dicts = get_dictionaries(fold, 10, all_complex_dicts)
for dct in complex_dicts:
dct.load_data(data)
node.query("system reload dictionaries")
queries_with_answers = []
for dct in complex_dicts:
for row in data:
for field in fields:
if not field.is_key:
for query in dct.get_select_get_queries(field, row):
queries_with_answers.append((query, row.get_value_by_name(field.name)))
for query in dct.get_select_has_queries(field, row):
queries_with_answers.append((query, 1))
for query in dct.get_select_get_or_default_queries(field, row):
queries_with_answers.append((query, field.default_value_for_get))
for query, answer in queries_with_answers:
print query
assert node.query(query) == str(answer) + '\n'
@pytest.mark.parametrize("fold", list(range(10)))
def test_ranged_dictionaries(started_cluster, fold):
fields = FIELDS["ranged"]
values = VALUES["ranged"]
data = [Row(fields, vals) for vals in values]
all_ranged_dicts = [d for d in DICTIONARIES if d.structure.layout.layout_type == "ranged"]
ranged_dicts = get_dictionaries(fold, 10, all_ranged_dicts)
for dct in ranged_dicts:
dct.load_data(data)
node.query("system reload dictionaries")
queries_with_answers = []
for dct in ranged_dicts:
for row in data:
for field in fields:
if not field.is_key and not field.is_range:
for query in dct.get_select_get_queries(field, row):
queries_with_answers.append((query, row.get_value_by_name(field.name)))
for query, answer in queries_with_answers:
print query
assert node.query(query) == str(answer) + '\n'
@pytest.mark.parametrize("fold", list(range(10)))
def test_key_value_simple_dictionaries(started_cluster, fold):
fields = FIELDS["simple"]
values = VALUES["simple"]
data = [Row(fields, vals) for vals in values]
all_simple_dicts = [d for d in DICTIONARIES_KV if d.structure.layout.layout_type == "simple"]
simple_dicts = get_dictionaries(fold, 10, all_simple_dicts)
for dct in simple_dicts:
queries_with_answers = []
local_data = []
for row in data:
local_fields = dct.get_fields()
local_values = [row.get_value_by_name(field.name) for field in local_fields if row.has_field(field.name)]
local_data.append(Row(local_fields, local_values))
dct.load_data(local_data)
node.query("system reload dictionary {}".format(dct.name))
print 'name: ', dct.name
for row in local_data:
print dct.get_fields()
for field in dct.get_fields():
print field.name, field.is_key
if not field.is_key:
for query in dct.get_select_get_queries(field, row):
queries_with_answers.append((query, row.get_value_by_name(field.name)))
for query in dct.get_select_has_queries(field, row):
queries_with_answers.append((query, 1))
for query in dct.get_select_get_or_default_queries(field, row):
queries_with_answers.append((query, field.default_value_for_get))
if dct.structure.has_hierarchy:
for query in dct.get_hierarchical_queries(data[0]):
queries_with_answers.append((query, [1]))
for query in dct.get_hierarchical_queries(data[1]):
queries_with_answers.append((query, [2, 1]))
for query in dct.get_is_in_queries(data[0], data[1]):
queries_with_answers.append((query, 0))
for query in dct.get_is_in_queries(data[1], data[0]):
queries_with_answers.append((query, 1))
for query, answer in queries_with_answers:
print query
if isinstance(answer, list):
answer = str(answer).replace(' ', '')
assert node.query(query) == str(answer) + '\n'
@pytest.mark.parametrize("fold", list(range(10)))
def test_key_value_complex_dictionaries(started_cluster, fold):
fields = FIELDS["complex"]
values = VALUES["complex"]
data = [Row(fields, vals) for vals in values]
all_complex_dicts = [d for d in DICTIONARIES if d.structure.layout.layout_type == "complex"]
complex_dicts = get_dictionaries(fold, 10, all_complex_dicts)
for dct in complex_dicts:
dct.load_data(data)
node.query("system reload dictionaries")
for dct in complex_dicts:
queries_with_answers = []
local_data = []
for row in data:
local_fields = dct.get_fields()
local_values = [row.get_value_by_name(field.name) for field in local_fields if row.has_field(field.name)]
local_data.append(Row(local_fields, local_values))
dct.load_data(local_data)
node.query("system reload dictionary {}".format(dct.name))
for row in local_data:
for field in dct.get_fields():
if not field.is_key:
for query in dct.get_select_get_queries(field, row):
queries_with_answers.append((query, row.get_value_by_name(field.name)))
for query in dct.get_select_has_queries(field, row):
queries_with_answers.append((query, 1))
for query in dct.get_select_get_or_default_queries(field, row):
queries_with_answers.append((query, field.default_value_for_get))
for query, answer in queries_with_answers:
print query
assert node.query(query) == str(answer) + '\n'
Reference in New Issue View Git Blame Copy Permalink