import logging import time import os import uuid import pytest from helpers.cluster import ClickHouseCluster from helpers.mock_servers import start_s3_mock, start_mock_servers from helpers.utility import generate_values, replace_config, SafeThread from helpers.wait_for_helpers import wait_for_delete_inactive_parts from helpers.wait_for_helpers import wait_for_delete_empty_parts from helpers.wait_for_helpers import wait_for_merges SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__)) @pytest.fixture(scope="module") def cluster(): try: cluster = ClickHouseCluster(__file__) cluster.add_instance( "node", main_configs=[ "configs/config.xml", "configs/config.d/storage_conf.xml", "configs/config.d/bg_processing_pool_conf.xml", "configs/config.d/blob_log.xml", ], user_configs=[ "configs/config.d/users.xml", ], stay_alive=True, with_minio=True, ) cluster.add_instance( "node_with_limited_disk", main_configs=[ "configs/config.d/storage_conf.xml", "configs/config.d/bg_processing_pool_conf.xml", "configs/config.d/blob_log.xml", ], with_minio=True, tmpfs=[ "/jbod1:size=2M", ], ) logging.info("Starting cluster...") cluster.start() logging.info("Cluster started") run_s3_mocks(cluster) yield cluster finally: cluster.shutdown() FILES_OVERHEAD = 1 FILES_OVERHEAD_PER_COLUMN = 2 # Data and mark files FILES_OVERHEAD_DEFAULT_COMPRESSION_CODEC = 1 FILES_OVERHEAD_METADATA_VERSION = 1 FILES_OVERHEAD_PER_PART_WIDE = ( FILES_OVERHEAD_PER_COLUMN * 3 + 2 + 6 + FILES_OVERHEAD_DEFAULT_COMPRESSION_CODEC + FILES_OVERHEAD_METADATA_VERSION ) FILES_OVERHEAD_PER_PART_COMPACT = ( 10 + FILES_OVERHEAD_DEFAULT_COMPRESSION_CODEC + FILES_OVERHEAD_METADATA_VERSION ) def create_table(node, table_name, **additional_settings): settings = { "storage_policy": "s3", "old_parts_lifetime": 0, "index_granularity": 512, "temporary_directories_lifetime": 1, } settings.update(additional_settings) create_table_statement = f""" CREATE TABLE {table_name} ( dt Date, id Int64, data String, INDEX min_max (id) TYPE minmax GRANULARITY 3 ) ENGINE=MergeTree() PARTITION BY dt ORDER BY (dt, id) SETTINGS {",".join((k+"="+repr(v) for k, v in settings.items()))}""" node.query(f"DROP TABLE IF EXISTS {table_name}") node.query(create_table_statement) @pytest.fixture(scope="module") def init_broken_s3(cluster): yield start_s3_mock(cluster, "broken_s3", "8083") @pytest.fixture(scope="function") def broken_s3(init_broken_s3): init_broken_s3.reset() yield init_broken_s3 def run_s3_mocks(cluster): script_dir = os.path.join(os.path.dirname(__file__), "s3_mocks") start_mock_servers( cluster, script_dir, [ ("unstable_proxy.py", "resolver", "8081"), ("no_delete_objects.py", "resolver", "8082"), ], ) def list_objects(cluster, path="data/", hint="list_objects"): minio = cluster.minio_client objects = list(minio.list_objects(cluster.minio_bucket, path, recursive=True)) logging.info(f"{hint} ({len(objects)}): {[x.object_name for x in objects]}") return objects def wait_for_delete_s3_objects(cluster, expected, timeout=30): while timeout > 0: existing_objects = list_objects(cluster, "data/") if len(existing_objects) == expected: return existing_objects timeout -= 1 time.sleep(1) existing_objects = list_objects(cluster, "data/") assert len(existing_objects) == expected return existing_objects def remove_all_s3_objects(cluster): minio = cluster.minio_client objects_to_delete = list_objects(cluster, "data/") for obj in objects_to_delete: minio.remove_object(cluster.minio_bucket, obj.object_name) return objects_to_delete @pytest.fixture(autouse=True, scope="function") def clear_minio(cluster): try: # CH do some writes to the S3 at start. For example, file data/clickhouse_access_check_{server_uuid}. # Set the timeout there as 10 sec in order to resolve the race with that file exists. wait_for_delete_s3_objects(cluster, 0, timeout=10) except: # Remove extra objects to prevent tests cascade failing remove_all_s3_objects(cluster) yield def check_no_objects_after_drop(cluster, table_name="s3_test", node_name="node"): node = cluster.instances[node_name] node.query(f"DROP TABLE IF EXISTS {table_name} SYNC") return wait_for_delete_s3_objects(cluster, 0, timeout=0) @pytest.mark.parametrize( "min_rows_for_wide_part,files_per_part,node_name", [ (0, FILES_OVERHEAD_PER_PART_WIDE, "node"), (8192, FILES_OVERHEAD_PER_PART_COMPACT, "node"), ], ) def test_simple_insert_select( cluster, min_rows_for_wide_part, files_per_part, node_name ): node = cluster.instances[node_name] create_table(node, "s3_test", min_rows_for_wide_part=min_rows_for_wide_part) minio = cluster.minio_client values1 = generate_values("2020-01-03", 4096) insert_query_id = uuid.uuid4().hex node.query( "INSERT INTO s3_test VALUES {}".format(values1), query_id=insert_query_id ) assert node.query("SELECT * FROM s3_test order by dt, id FORMAT Values") == values1 assert len(list_objects(cluster, "data/")) == FILES_OVERHEAD + files_per_part node.query("SYSTEM FLUSH LOGS") blob_storage_log = node.query( f"SELECT * FROM system.blob_storage_log WHERE query_id = '{insert_query_id}' FORMAT PrettyCompactMonoBlock" ) result = node.query( f"""SELECT (countIf( (event_type == 'Upload' OR event_type == 'MultiPartUploadWrite') as event_match) as total_events) > 0, countIf(event_match AND bucket == 'root') == total_events, countIf(event_match AND remote_path != '') == total_events, countIf(event_match AND local_path != '') == total_events, sumIf(data_size, event_match) > 0 FROM system.blob_storage_log WHERE query_id = '{insert_query_id}' AND error == '' """ ) assert result == "1\t1\t1\t1\t1\n", blob_storage_log values2 = generate_values("2020-01-04", 4096) node.query("INSERT INTO s3_test VALUES {}".format(values2)) assert ( node.query("SELECT * FROM s3_test ORDER BY dt, id FORMAT Values") == values1 + "," + values2 ) assert len(list_objects(cluster, "data/")) == FILES_OVERHEAD + files_per_part * 2 assert ( node.query("SELECT count(*) FROM s3_test where id = 1 FORMAT Values") == "(2)" ) check_no_objects_after_drop(cluster) @pytest.mark.parametrize("merge_vertical,node_name", [(True, "node"), (False, "node")]) def test_insert_same_partition_and_merge(cluster, merge_vertical, node_name): settings = {} if merge_vertical: settings["vertical_merge_algorithm_min_rows_to_activate"] = 0 settings["vertical_merge_algorithm_min_columns_to_activate"] = 0 node = cluster.instances[node_name] create_table(node, "s3_test", **settings) node.query("SYSTEM STOP MERGES s3_test") node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 1024)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 2048)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 4096)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 1024, -1)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 2048, -1)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 4096, -1)) ) assert node.query("SELECT sum(id) FROM s3_test FORMAT Values") == "(0)" assert ( node.query("SELECT count(distinct(id)) FROM s3_test FORMAT Values") == "(8192)" ) assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD_PER_PART_WIDE * 6 + FILES_OVERHEAD ) node.query("SYSTEM START MERGES s3_test") # Wait for merges and old parts deletion for attempt in range(0, 60): parts_count = node.query( "SELECT COUNT(*) FROM system.parts WHERE table = 's3_test' and active = 1 FORMAT Values" ) if parts_count == "(1)": break if attempt == 59: assert parts_count == "(1)" time.sleep(1) assert node.query("SELECT sum(id) FROM s3_test FORMAT Values") == "(0)" assert ( node.query("SELECT count(distinct(id)) FROM s3_test FORMAT Values") == "(8192)" ) wait_for_delete_s3_objects( cluster, FILES_OVERHEAD_PER_PART_WIDE + FILES_OVERHEAD, timeout=45 ) check_no_objects_after_drop(cluster) @pytest.mark.parametrize("node_name", ["node"]) def test_alter_table_columns(cluster, node_name): node = cluster.instances[node_name] create_table(node, "s3_test") node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 4096)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 4096, -1)) ) def assert_deleted_in_log(old_objects, new_objects): node.query("SYSTEM FLUSH LOGS") deleted_objects = set(obj.object_name for obj in old_objects) - set( obj.object_name for obj in new_objects ) deleted_in_log = set( node.query( f"SELECT remote_path FROM system.blob_storage_log WHERE error == '' AND event_type == 'Delete'" ) .strip() .split() ) # all deleted objects should be in log assert all(obj in deleted_in_log for obj in deleted_objects), ( deleted_objects, node.query( f"SELECT * FROM system.blob_storage_log FORMAT PrettyCompactMonoBlock" ), ) objects_before = list_objects(cluster, "data/") node.query("ALTER TABLE s3_test ADD COLUMN col1 UInt64 DEFAULT 1") # To ensure parts have merged node.query("OPTIMIZE TABLE s3_test") assert node.query("SELECT sum(col1) FROM s3_test FORMAT Values") == "(8192)" assert ( node.query("SELECT sum(col1) FROM s3_test WHERE id > 0 FORMAT Values") == "(4096)" ) existing_objects = wait_for_delete_s3_objects( cluster, FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE + FILES_OVERHEAD_PER_COLUMN, ) assert_deleted_in_log(objects_before, existing_objects) objects_before = existing_objects node.query( "ALTER TABLE s3_test MODIFY COLUMN col1 String", settings={"mutations_sync": 2} ) assert node.query("SELECT distinct(col1) FROM s3_test FORMAT Values") == "('1')" # and file with mutation existing_objects = wait_for_delete_s3_objects( cluster, FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE + FILES_OVERHEAD_PER_COLUMN + 1, ) assert_deleted_in_log(objects_before, existing_objects) objects_before = existing_objects node.query("ALTER TABLE s3_test DROP COLUMN col1", settings={"mutations_sync": 2}) # and 2 files with mutations existing_objects = wait_for_delete_s3_objects( cluster, FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE + 2 ) assert_deleted_in_log(objects_before, existing_objects) objects_before = existing_objects existing_objects = check_no_objects_after_drop(cluster) assert_deleted_in_log(objects_before, existing_objects) objects_before = existing_objects @pytest.mark.parametrize("node_name", ["node"]) def test_attach_detach_partition(cluster, node_name): node = cluster.instances[node_name] create_table(node, "s3_test") node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 4096)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-04", 4096)) ) assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(8192)" assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 2 ) node.query("ALTER TABLE s3_test DETACH PARTITION '2020-01-03'") wait_for_delete_empty_parts(node, "s3_test") wait_for_delete_inactive_parts(node, "s3_test") assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(4096)" assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 2 - FILES_OVERHEAD_METADATA_VERSION ) node.query("ALTER TABLE s3_test ATTACH PARTITION '2020-01-03'") assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(8192)" assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 2 ) node.query("ALTER TABLE s3_test DROP PARTITION '2020-01-03'") wait_for_delete_empty_parts(node, "s3_test") wait_for_delete_inactive_parts(node, "s3_test") assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(4096)" assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 1 ) node.query("ALTER TABLE s3_test DETACH PARTITION '2020-01-04'") wait_for_delete_empty_parts(node, "s3_test") wait_for_delete_inactive_parts(node, "s3_test") assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(0)" assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 1 - FILES_OVERHEAD_METADATA_VERSION ) node.query( "ALTER TABLE s3_test DROP DETACHED PARTITION '2020-01-04'", settings={"allow_drop_detached": 1}, ) assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(0)" assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 0 ) check_no_objects_after_drop(cluster) @pytest.mark.parametrize("node_name", ["node"]) def test_move_partition_to_another_disk(cluster, node_name): node = cluster.instances[node_name] create_table(node, "s3_test") node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 4096)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-04", 4096)) ) assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(8192)" assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 2 ) node.query("ALTER TABLE s3_test MOVE PARTITION '2020-01-04' TO DISK 'hdd'") assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(8192)" assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE ) node.query("ALTER TABLE s3_test MOVE PARTITION '2020-01-04' TO DISK 's3'") assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(8192)" assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 2 ) check_no_objects_after_drop(cluster) @pytest.mark.parametrize("node_name", ["node"]) def test_table_manipulations(cluster, node_name): node = cluster.instances[node_name] create_table(node, "s3_test") node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 4096)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-04", 4096)) ) node.query("RENAME TABLE s3_test TO s3_renamed") assert node.query("SELECT count(*) FROM s3_renamed FORMAT Values") == "(8192)" assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 2 ) node.query("RENAME TABLE s3_renamed TO s3_test") assert node.query("CHECK TABLE s3_test FORMAT Values") == "(1)" node.query("DETACH TABLE s3_test") node.query("ATTACH TABLE s3_test") assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(8192)" assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 2 ) node.query("TRUNCATE TABLE s3_test") wait_for_delete_empty_parts(node, "s3_test") wait_for_delete_inactive_parts(node, "s3_test") assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(0)" assert len(list_objects(cluster, "data/")) == FILES_OVERHEAD check_no_objects_after_drop(cluster) @pytest.mark.parametrize("node_name", ["node"]) def test_move_replace_partition_to_another_table(cluster, node_name): node = cluster.instances[node_name] create_table(node, "s3_test") node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 4096)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-04", 4096)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-05", 4096, -1)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-06", 4096, -1)) ) assert node.query("SELECT sum(id) FROM s3_test FORMAT Values") == "(0)" assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(16384)" assert ( len(list_objects(cluster, "data/", "Objects at start")) == FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 4 ) create_table(node, "s3_clone") node.query("ALTER TABLE s3_test MOVE PARTITION '2020-01-03' TO TABLE s3_clone") node.query("ALTER TABLE s3_test MOVE PARTITION '2020-01-05' TO TABLE s3_clone") assert node.query("SELECT sum(id) FROM s3_test FORMAT Values") == "(0)" assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(8192)" assert node.query("SELECT sum(id) FROM s3_clone FORMAT Values") == "(0)" assert node.query("SELECT count(*) FROM s3_clone FORMAT Values") == "(8192)" list_objects(cluster, "data/", "Object after move partition") # Number of objects in S3 should be unchanged. wait_for_delete_s3_objects( cluster, FILES_OVERHEAD * 2 + FILES_OVERHEAD_PER_PART_WIDE * 4 - FILES_OVERHEAD_METADATA_VERSION * 2, ) # Add new partitions to source table, but with different values and replace them from copied table. node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 4096, -1)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-05", 4096)) ) assert node.query("SELECT sum(id) FROM s3_test FORMAT Values") == "(0)" assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(16384)" list_objects(cluster, "data/", "Object after insert") wait_for_delete_s3_objects( cluster, FILES_OVERHEAD * 2 + FILES_OVERHEAD_PER_PART_WIDE * 6 - FILES_OVERHEAD_METADATA_VERSION * 2, ) node.query("ALTER TABLE s3_test REPLACE PARTITION '2020-01-03' FROM s3_clone") node.query("ALTER TABLE s3_test REPLACE PARTITION '2020-01-05' FROM s3_clone") assert node.query("SELECT sum(id) FROM s3_test FORMAT Values") == "(0)" assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(16384)" assert node.query("SELECT sum(id) FROM s3_clone FORMAT Values") == "(0)" assert node.query("SELECT count(*) FROM s3_clone FORMAT Values") == "(8192)" # Wait for outdated partitions deletion. wait_for_delete_s3_objects( cluster, FILES_OVERHEAD * 2 + FILES_OVERHEAD_PER_PART_WIDE * 4 - FILES_OVERHEAD_METADATA_VERSION * 2, ) node.query("DROP TABLE s3_clone SYNC") assert node.query("SELECT sum(id) FROM s3_test FORMAT Values") == "(0)" assert node.query("SELECT count(*) FROM s3_test FORMAT Values") == "(16384)" list_objects(cluster, "data/", "Object after drop") wait_for_delete_s3_objects( cluster, FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 4 - FILES_OVERHEAD_METADATA_VERSION * 2, ) node.query("ALTER TABLE s3_test FREEZE") # Number S3 objects should be unchanged. list_objects(cluster, "data/", "Object after freeze") wait_for_delete_s3_objects( cluster, FILES_OVERHEAD + FILES_OVERHEAD_PER_PART_WIDE * 4 - FILES_OVERHEAD_METADATA_VERSION * 2, ) node.query("DROP TABLE s3_test SYNC") # Backup data should remain in S3. wait_for_delete_s3_objects( cluster, FILES_OVERHEAD_PER_PART_WIDE * 4 - FILES_OVERHEAD_METADATA_VERSION * 4 ) remove_all_s3_objects(cluster) @pytest.mark.parametrize("node_name", ["node"]) def test_freeze_unfreeze(cluster, node_name): node = cluster.instances[node_name] create_table(node, "s3_test") node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 4096)) ) node.query("ALTER TABLE s3_test FREEZE WITH NAME 'backup1'") node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-04", 4096)) ) node.query("ALTER TABLE s3_test FREEZE WITH NAME 'backup2'") node.query("TRUNCATE TABLE s3_test") wait_for_delete_empty_parts(node, "s3_test") wait_for_delete_inactive_parts(node, "s3_test") assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + (FILES_OVERHEAD_PER_PART_WIDE - FILES_OVERHEAD_METADATA_VERSION) * 2 ) # Unfreeze single partition from backup1. node.query( "ALTER TABLE s3_test UNFREEZE PARTITION '2020-01-03' WITH NAME 'backup1'" ) # Unfreeze all partitions from backup2. node.query("ALTER TABLE s3_test UNFREEZE WITH NAME 'backup2'") # Data should be removed from S3. wait_for_delete_s3_objects(cluster, FILES_OVERHEAD) check_no_objects_after_drop(cluster) @pytest.mark.parametrize("node_name", ["node"]) def test_freeze_system_unfreeze(cluster, node_name): node = cluster.instances[node_name] create_table(node, "s3_test") create_table(node, "s3_test_removed") node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-04", 4096)) ) node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-04", 4096)) ) node.query("ALTER TABLE s3_test FREEZE WITH NAME 'backup3'") node.query("ALTER TABLE s3_test_removed FREEZE WITH NAME 'backup3'") node.query("TRUNCATE TABLE s3_test") wait_for_delete_empty_parts(node, "s3_test") wait_for_delete_inactive_parts(node, "s3_test") node.query("DROP TABLE s3_test_removed SYNC") assert ( len(list_objects(cluster, "data/")) == FILES_OVERHEAD + (FILES_OVERHEAD_PER_PART_WIDE - FILES_OVERHEAD_METADATA_VERSION) * 2 ) # Unfreeze all data from backup3. node.query("SYSTEM UNFREEZE WITH NAME 'backup3'") # Data should be removed from S3. wait_for_delete_s3_objects(cluster, FILES_OVERHEAD) check_no_objects_after_drop(cluster) @pytest.mark.parametrize("node_name", ["node"]) def test_s3_disk_apply_new_settings(cluster, node_name): node = cluster.instances[node_name] create_table(node, "s3_test") config_path = os.path.join( SCRIPT_DIR, "./{}/node/configs/config.d/storage_conf.xml".format( cluster.instances_dir_name ), ) def get_s3_requests(): node.query("SYSTEM FLUSH LOGS") return int( node.query( "SELECT value FROM system.events WHERE event='S3WriteRequestsCount'" ) ) s3_requests_before = get_s3_requests() node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-03", 4096)) ) s3_requests_to_write_partition = get_s3_requests() - s3_requests_before # Force multi-part upload mode. replace_config( config_path, "33554432", "0", ) node.query("SYSTEM RELOAD CONFIG") s3_requests_before = get_s3_requests() node.query( "INSERT INTO s3_test VALUES {}".format(generate_values("2020-01-04", 4096, -1)) ) # There should be 3 times more S3 requests because multi-part upload mode uses 3 requests to upload object. assert get_s3_requests() - s3_requests_before == s3_requests_to_write_partition * 3 check_no_objects_after_drop(cluster) @pytest.mark.parametrize("node_name", ["node"]) def test_s3_no_delete_objects(cluster, node_name): node = cluster.instances[node_name] create_table( node, "s3_test_no_delete_objects", storage_policy="no_delete_objects_s3" ) node.query("DROP TABLE s3_test_no_delete_objects SYNC") remove_all_s3_objects(cluster) @pytest.mark.parametrize("node_name", ["node"]) def test_s3_disk_reads_on_unstable_connection(cluster, node_name): node = cluster.instances[node_name] create_table(node, "s3_test", storage_policy="unstable_s3") node.query( "INSERT INTO s3_test SELECT today(), *, toString(*) FROM system.numbers LIMIT 9000000" ) for i in range(30): print(f"Read sequence {i}") assert node.query("SELECT sum(id) FROM s3_test").splitlines() == [ "40499995500000" ] check_no_objects_after_drop(cluster) @pytest.mark.parametrize("node_name", ["node"]) def test_lazy_seek_optimization_for_async_read(cluster, node_name): node = cluster.instances[node_name] node.query("DROP TABLE IF EXISTS s3_test SYNC") node.query( "CREATE TABLE s3_test (key UInt32, value String) Engine=MergeTree() ORDER BY key SETTINGS storage_policy='s3';" ) node.query("SYSTEM STOP MERGES s3_test") node.query( "INSERT INTO s3_test SELECT * FROM generateRandom('key UInt32, value String') LIMIT 10000000" ) node.query("SELECT * FROM s3_test WHERE value LIKE '%abc%' ORDER BY value LIMIT 10") check_no_objects_after_drop(cluster) @pytest.mark.parametrize("node_name", ["node_with_limited_disk"]) def test_cache_with_full_disk_space(cluster, node_name): node = cluster.instances[node_name] node.query("DROP TABLE IF EXISTS s3_test SYNC") node.query( "CREATE TABLE s3_test (key UInt32, value String) Engine=MergeTree() ORDER BY value SETTINGS storage_policy='s3_with_cache_and_jbod';" ) node.query("SYSTEM STOP MERGES s3_test") node.query( "INSERT INTO s3_test SELECT number, toString(number) FROM numbers(100000000)" ) out = node.exec_in_container( [ "/usr/bin/clickhouse", "benchmark", "--iterations", "10", "--max_threads", "100", "--query", "SELECT count() FROM s3_test WHERE key < 40000000 or key > 80000000 SETTINGS max_read_buffer_size='44Ki'", ] ) assert node.contains_in_log( "Insert into cache is skipped due to insufficient disk space" ) check_no_objects_after_drop(cluster, node_name=node_name) @pytest.mark.parametrize("node_name", ["node"]) def test_merge_canceled_by_drop(cluster, node_name): node = cluster.instances[node_name] node.query("DROP TABLE IF EXISTS test_merge_canceled_by_drop NO DELAY") node.query( "CREATE TABLE test_merge_canceled_by_drop " " (key UInt32, value String)" " Engine=MergeTree() " " ORDER BY value " " SETTINGS storage_policy='s3'" ) node.query("SYSTEM STOP MERGES test_merge_canceled_by_drop") node.query( "INSERT INTO test_merge_canceled_by_drop SELECT number, toString(number) FROM numbers(100000000)" ) node.query("SYSTEM START MERGES test_merge_canceled_by_drop") wait_for_merges(node, "test_merge_canceled_by_drop") check_no_objects_after_drop( cluster, table_name="test_merge_canceled_by_drop", node_name=node_name ) @pytest.mark.parametrize("storage_policy", ["broken_s3_always_multi_part", "broken_s3"]) @pytest.mark.parametrize("node_name", ["node"]) def test_merge_canceled_by_s3_errors(cluster, broken_s3, node_name, storage_policy): node = cluster.instances[node_name] node.query("DROP TABLE IF EXISTS test_merge_canceled_by_s3_errors NO DELAY") node.query( "CREATE TABLE test_merge_canceled_by_s3_errors " " (key UInt32, value String)" " Engine=MergeTree() " " ORDER BY value " f" SETTINGS storage_policy='{storage_policy}'" ) node.query("SYSTEM STOP MERGES test_merge_canceled_by_s3_errors") node.query( "INSERT INTO test_merge_canceled_by_s3_errors SELECT number, toString(number) FROM numbers(10000)" ) node.query( "INSERT INTO test_merge_canceled_by_s3_errors SELECT 2*number, toString(number) FROM numbers(10000)" ) min_key = node.query("SELECT min(key) FROM test_merge_canceled_by_s3_errors") assert int(min_key) == 0, min_key broken_s3.setup_at_object_upload() broken_s3.setup_fake_multpartuploads() broken_s3.setup_at_part_upload() node.query("SYSTEM START MERGES test_merge_canceled_by_s3_errors") error = node.query_and_get_error( "OPTIMIZE TABLE test_merge_canceled_by_s3_errors FINAL", ) assert "ExpectedError Message: mock s3 injected unretryable error" in error, error node.wait_for_log_line("ExpectedError Message: mock s3 injected unretryable error") table_uuid = node.query( "SELECT uuid FROM system.tables WHERE database = 'default' AND name = 'test_merge_canceled_by_s3_errors' LIMIT 1" ).strip() node.query("SYSTEM FLUSH LOGS") error_count_in_blob_log = node.query( f"SELECT count() FROM system.blob_storage_log WHERE query_id like '{table_uuid}::%' AND error like '%mock s3 injected unretryable error%'" ).strip() assert int(error_count_in_blob_log) > 0, node.query( f"SELECT * FROM system.blob_storage_log WHERE query_id like '{table_uuid}::%' FORMAT PrettyCompactMonoBlock" ) check_no_objects_after_drop( cluster, table_name="test_merge_canceled_by_s3_errors", node_name=node_name ) @pytest.mark.parametrize("node_name", ["node"]) def test_merge_canceled_by_s3_errors_when_move(cluster, broken_s3, node_name): node = cluster.instances[node_name] settings = { "storage_policy": "external_broken_s3", "merge_with_ttl_timeout": 1, } create_table(node, "merge_canceled_by_s3_errors_when_move", **settings) node.query("SYSTEM STOP MERGES merge_canceled_by_s3_errors_when_move") node.query( "INSERT INTO merge_canceled_by_s3_errors_when_move" " VALUES {}".format(generate_values("2020-01-03", 1000)) ) node.query( "INSERT INTO merge_canceled_by_s3_errors_when_move" " VALUES {}".format(generate_values("2020-01-03", 1000, -1)) ) node.query( "ALTER TABLE merge_canceled_by_s3_errors_when_move" " MODIFY TTL" " dt + INTERVAL 1 DAY " " TO VOLUME 'external'", settings={"materialize_ttl_after_modify": 0}, ) broken_s3.setup_at_object_upload(count=1, after=1) node.query("SYSTEM START MERGES merge_canceled_by_s3_errors_when_move") node.query("OPTIMIZE TABLE merge_canceled_by_s3_errors_when_move FINAL") node.wait_for_log_line("ExpectedError Message: mock s3 injected unretryable error") count = node.query("SELECT count() FROM merge_canceled_by_s3_errors_when_move") assert int(count) == 2000, count check_no_objects_after_drop( cluster, table_name="merge_canceled_by_s3_errors_when_move", node_name=node_name ) @pytest.mark.parametrize("node_name", ["node"]) @pytest.mark.parametrize( "in_flight_memory", [(10, 245918115), (5, 156786752), (1, 106426187)] ) def test_s3_engine_heavy_write_check_mem( cluster, broken_s3, node_name, in_flight_memory ): pytest.skip( "Disabled, will be fixed after https://github.com/ClickHouse/ClickHouse/issues/51152" ) in_flight = in_flight_memory[0] memory = in_flight_memory[1] node = cluster.instances[node_name] # it's bad idea to test something related to memory with sanitizers if node.is_built_with_sanitizer(): pytest.skip("Disabled for sanitizers") node.query("DROP TABLE IF EXISTS s3_test SYNC") node.query( "CREATE TABLE s3_test" " (" " key UInt32 CODEC(NONE), value String CODEC(NONE)" " )" " ENGINE S3('http://resolver:8083/root/data/test-upload.csv', 'minio', 'minio123', 'CSV')", ) broken_s3.setup_fake_multpartuploads() slow_responces = 10 slow_timeout = 15 broken_s3.setup_slow_answers( 10 * 1024 * 1024, timeout=slow_timeout, count=slow_responces ) query_id = f"INSERT_INTO_S3_ENGINE_QUERY_ID_{in_flight}" node.query( "INSERT INTO s3_test SELECT number, toString(number) FROM numbers(50000000)" f" SETTINGS " f" max_memory_usage={2*memory}" ", max_threads=1, optimize_trivial_insert_select=1" # ParallelFormattingOutputFormat consumption depends on it f", s3_max_inflight_parts_for_one_file={in_flight}", query_id=query_id, ) node.query("SYSTEM FLUSH LOGS") memory_usage, wait_inflight = node.query( "SELECT memory_usage, ProfileEvents['WriteBufferFromS3WaitInflightLimitMicroseconds']" " FROM system.query_log" f" WHERE query_id='{query_id}'" " AND type!='QueryStart'" ).split() assert int(memory_usage) < 1.2 * memory assert int(memory_usage) > 0.8 * memory # The more in_flight value is the less time CH waits. assert int(wait_inflight) / 1000 / 1000 > slow_responces * slow_timeout / in_flight check_no_objects_after_drop(cluster, node_name=node_name) @pytest.mark.parametrize("node_name", ["node"]) def test_s3_disk_heavy_write_check_mem(cluster, broken_s3, node_name): memory = 2279055040 node = cluster.instances[node_name] node.query("DROP TABLE IF EXISTS s3_test SYNC") node.query( "CREATE TABLE s3_test" " (" " key UInt32, value String" " )" " ENGINE=MergeTree()" " ORDER BY key" " SETTINGS" " storage_policy='broken_s3'", ) node.query("SYSTEM STOP MERGES s3_test") broken_s3.setup_fake_multpartuploads() broken_s3.setup_slow_answers(10 * 1024 * 1024, timeout=10, count=50) query_id = f"INSERT_INTO_S3_DISK_QUERY_ID" node.query( "INSERT INTO s3_test SELECT number, toString(number) FROM numbers(50000000)" f" SETTINGS max_memory_usage={2*memory}" ", max_insert_block_size=50000000" ", min_insert_block_size_rows=50000000" ", min_insert_block_size_bytes=1000000000000" ", optimize_trivial_insert_select=1", query_id=query_id, ) node.query("SYSTEM FLUSH LOGS") result = node.query( "SELECT memory_usage" " FROM system.query_log" f" WHERE query_id='{query_id}'" " AND type!='QueryStart'" ) assert int(result) < 1.2 * memory assert int(result) > 0.8 * memory check_no_objects_after_drop(cluster, node_name=node_name)