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, 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("hashed"), Layout("cache"), Layout("flat"), Layout("complex_key_hashed"), Layout("complex_key_cache"), Layout("range_hashed") ] SOURCES = [ SourceMongo("MongoDB", "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' def test_complex_dictionaries(started_cluster): fields = FIELDS["complex"] values = VALUES["complex"] data = [Row(fields, vals) for vals in values] complex_dicts = [d for d in DICTIONARIES if d.structure.layout.layout_type == "complex"] 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' def test_ranged_dictionaries(started_cluster): fields = FIELDS["ranged"] values = VALUES["ranged"] data = [Row(fields, vals) for vals in values] ranged_dicts = [d for d in DICTIONARIES if d.structure.layout.layout_type == "ranged"] 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' def test_key_value_complex_dictionaries(started_cluster): fields = FIELDS["complex"] values = VALUES["complex"] data = [Row(fields, vals) for vals in values] complex_dicts = [d for d in DICTIONARIES if d.structure.layout.layout_type == "complex"] 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'