import gzip import json import logging import os import io import random import threading import time import helpers.client import pytest from helpers.cluster import ClickHouseCluster, ClickHouseInstance from helpers.network import PartitionManager from helpers.mock_servers import start_mock_servers from helpers.test_tools import exec_query_with_retry from helpers.s3_tools import prepare_s3_bucket MINIO_INTERNAL_PORT = 9001 SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__)) def put_s3_file_content(started_cluster, bucket, filename, data): buf = io.BytesIO(data) started_cluster.minio_client.put_object(bucket, filename, buf, len(data)) # Returns content of given S3 file as string. def get_s3_file_content(started_cluster, bucket, filename, decode=True): # type: (ClickHouseCluster, str, str, bool) -> str data = started_cluster.minio_client.get_object(bucket, filename) data_str = b"" for chunk in data.stream(): data_str += chunk if decode: return data_str.decode() return data_str @pytest.fixture(scope="module") def started_cluster(): try: cluster = ClickHouseCluster(__file__) cluster.add_instance( "restricted_dummy", main_configs=["configs/config_for_test_remote_host_filter.xml"], with_minio=True, ) cluster.add_instance( "dummy", with_minio=True, main_configs=[ "configs/defaultS3.xml", "configs/named_collections.xml", "configs/schema_cache.xml", ], user_configs=["configs/access.xml", "configs/users.xml"], ) cluster.add_instance( "dummy_without_named_collections", with_minio=True, main_configs=[ "configs/defaultS3.xml", "configs/named_collections.xml", "configs/schema_cache.xml", ], user_configs=["configs/access.xml"], ) cluster.add_instance( "s3_max_redirects", with_minio=True, main_configs=["configs/defaultS3.xml"], user_configs=["configs/s3_max_redirects.xml"], ) cluster.add_instance( "s3_non_default", with_minio=True, ) cluster.add_instance( "s3_with_environment_credentials", with_minio=True, env_variables={ "AWS_ACCESS_KEY_ID": "minio", "AWS_SECRET_ACCESS_KEY": "minio123", }, main_configs=["configs/use_environment_credentials.xml"], ) logging.info("Starting cluster...") cluster.start() logging.info("Cluster started") prepare_s3_bucket(cluster) logging.info("S3 bucket created") run_s3_mocks(cluster) yield cluster finally: cluster.shutdown() def run_query(instance, query, stdin=None, settings=None): # type: (ClickHouseInstance, str, object, dict) -> str logging.info("Running query '{}'...".format(query)) result = instance.query(query, stdin=stdin, settings=settings) logging.info("Query finished") return result # Test simple put. Also checks that wrong credentials produce an error with every compression method. @pytest.mark.parametrize( "maybe_auth,positive,compression", [ pytest.param("", True, "auto", id="positive"), pytest.param("'minio','minio123',", True, "auto", id="auth_positive"), pytest.param("'wrongid','wrongkey',", False, "auto", id="auto"), pytest.param("'wrongid','wrongkey',", False, "gzip", id="gzip"), pytest.param("'wrongid','wrongkey',", False, "deflate", id="deflate"), pytest.param("'wrongid','wrongkey',", False, "brotli", id="brotli"), pytest.param("'wrongid','wrongkey',", False, "xz", id="xz"), pytest.param("'wrongid','wrongkey',", False, "zstd", id="zstd"), ], ) def test_put(started_cluster, maybe_auth, positive, compression): # type: (ClickHouseCluster) -> None bucket = ( started_cluster.minio_bucket if not maybe_auth else started_cluster.minio_restricted_bucket ) instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_format = "column1 UInt32, column2 UInt32, column3 UInt32" values = "(1, 2, 3), (3, 2, 1), (78, 43, 45)" values_csv = "1,2,3\n3,2,1\n78,43,45\n" filename = "test.csv" put_query = f"""insert into table function s3('http://{started_cluster.minio_ip}:{started_cluster.minio_port}/{bucket}/{filename}', {maybe_auth}'CSV', '{table_format}', '{compression}') settings s3_truncate_on_insert=1 values {values}""" try: run_query(instance, put_query) except helpers.client.QueryRuntimeException: if positive: raise else: assert positive assert values_csv == get_s3_file_content(started_cluster, bucket, filename) def test_partition_by(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_format = "column1 UInt32, column2 UInt32, column3 UInt32" partition_by = "column3" values = "(1, 2, 3), (3, 2, 1), (78, 43, 45)" filename = "test_{_partition_id}.csv" put_query = f"""INSERT INTO TABLE FUNCTION s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'CSV', '{table_format}') PARTITION BY {partition_by} VALUES {values}""" run_query(instance, put_query) assert "1,2,3\n" == get_s3_file_content(started_cluster, bucket, "test_3.csv") assert "3,2,1\n" == get_s3_file_content(started_cluster, bucket, "test_1.csv") assert "78,43,45\n" == get_s3_file_content(started_cluster, bucket, "test_45.csv") filename = "test2_{_partition_id}.csv" instance.query( f"create table p ({table_format}) engine=S3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'CSV') partition by column3" ) instance.query(f"insert into p values {values}") assert "1,2,3\n" == get_s3_file_content(started_cluster, bucket, "test2_3.csv") assert "3,2,1\n" == get_s3_file_content(started_cluster, bucket, "test2_1.csv") assert "78,43,45\n" == get_s3_file_content(started_cluster, bucket, "test2_45.csv") def test_partition_by_string_column(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_format = "col_num UInt32, col_str String" partition_by = "col_str" values = "(1, 'foo/bar'), (3, 'йцук'), (78, '你好')" filename = "test_{_partition_id}.csv" put_query = f"""INSERT INTO TABLE FUNCTION s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'CSV', '{table_format}') PARTITION BY {partition_by} VALUES {values}""" run_query(instance, put_query) assert '1,"foo/bar"\n' == get_s3_file_content( started_cluster, bucket, "test_foo/bar.csv" ) assert '3,"йцук"\n' == get_s3_file_content(started_cluster, bucket, "test_йцук.csv") assert '78,"你好"\n' == get_s3_file_content(started_cluster, bucket, "test_你好.csv") def test_partition_by_const_column(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_format = "column1 UInt32, column2 UInt32, column3 UInt32" values = "(1, 2, 3), (3, 2, 1), (78, 43, 45)" partition_by = "'88'" values_csv = "1,2,3\n3,2,1\n78,43,45\n" filename = "test_{_partition_id}.csv" put_query = f"""INSERT INTO TABLE FUNCTION s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'CSV', '{table_format}') PARTITION BY {partition_by} VALUES {values}""" run_query(instance, put_query) assert values_csv == get_s3_file_content(started_cluster, bucket, "test_88.csv") @pytest.mark.parametrize("special", ["space", "plus"]) def test_get_file_with_special(started_cluster, special): symbol = {"space": " ", "plus": "+"}[special] urlsafe_symbol = {"space": "%20", "plus": "%2B"}[special] auth = "'minio','minio123'," bucket = started_cluster.minio_restricted_bucket instance = started_cluster.instances["dummy"] table_format = "column1 UInt32, column2 UInt32, column3 UInt32" values = [ [12549, 2463, 19893], [64021, 38652, 66703], [81611, 39650, 83516], [11079, 59507, 61546], [51764, 69952, 6876], [41165, 90293, 29095], [40167, 78432, 48309], [81629, 81327, 11855], [55852, 21643, 98507], [6738, 54643, 41155], ] values_csv = ( "\n".join((",".join(map(str, row)) for row in values)) + "\n" ).encode() filename = f"get_file_with_{special}_{symbol}two.csv" put_s3_file_content(started_cluster, bucket, filename, values_csv) get_query = f"SELECT * FROM s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/get_file_with_{special}_{urlsafe_symbol}two.csv', {auth}'CSV', '{table_format}') FORMAT TSV" assert [ list(map(int, l.split())) for l in run_query(instance, get_query).splitlines() ] == values get_query = f"SELECT * FROM s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/get_file_with_{special}*.csv', {auth}'CSV', '{table_format}') FORMAT TSV" assert [ list(map(int, l.split())) for l in run_query(instance, get_query).splitlines() ] == values get_query = f"SELECT * FROM s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/get_file_with_{special}_{urlsafe_symbol}*.csv', {auth}'CSV', '{table_format}') FORMAT TSV" assert [ list(map(int, l.split())) for l in run_query(instance, get_query).splitlines() ] == values @pytest.mark.parametrize("special", ["space", "plus", "plus2"]) def test_get_path_with_special(started_cluster, special): symbol = {"space": "%20", "plus": "%2B", "plus2": "%2B"}[special] safe_symbol = {"space": "%20", "plus": "+", "plus2": "%2B"}[special] auth = "'minio','minio123'," table_format = "column1 String" instance = started_cluster.instances["dummy"] get_query = f"SELECT * FROM s3('http://resolver:8082/get-my-path/{safe_symbol}.csv', {auth}'CSV', '{table_format}') FORMAT TSV" assert run_query(instance, get_query).splitlines() == [f"/{symbol}.csv"] # Test put no data to S3. @pytest.mark.parametrize("auth", [pytest.param("'minio','minio123',", id="minio")]) def test_empty_put(started_cluster, auth): # type: (ClickHouseCluster, str) -> None bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_format = "column1 UInt32, column2 UInt32, column3 UInt32" drop_empty_table_query = "DROP TABLE IF EXISTS empty_table" create_empty_table_query = """ CREATE TABLE empty_table ( {} ) ENGINE = Null() """.format( table_format ) run_query(instance, drop_empty_table_query) run_query(instance, create_empty_table_query) filename = "empty_put_test.csv" put_query = "insert into table function s3('http://{}:{}/{}/{}', {}'CSV', '{}') select * from empty_table".format( started_cluster.minio_ip, MINIO_INTERNAL_PORT, bucket, filename, auth, table_format, ) run_query(instance, put_query) assert ( run_query( instance, "select count(*) from s3('http://{}:{}/{}/{}', {}'CSV', '{}')".format( started_cluster.minio_ip, MINIO_INTERNAL_PORT, bucket, filename, auth, table_format, ), ) == "0\n" ) # Test put values in CSV format. @pytest.mark.parametrize( "maybe_auth,positive", [ pytest.param("", True, id="positive"), pytest.param("'minio','minio123',", True, id="auth_positive"), pytest.param("'wrongid','wrongkey',", False, id="negative"), ], ) def test_put_csv(started_cluster, maybe_auth, positive): # type: (ClickHouseCluster, bool, str) -> None bucket = ( started_cluster.minio_bucket if not maybe_auth else started_cluster.minio_restricted_bucket ) instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_format = "column1 UInt32, column2 UInt32, column3 UInt32" filename = "test.csv" put_query = "insert into table function s3('http://{}:{}/{}/{}', {}'CSV', '{}') settings s3_truncate_on_insert=1 format CSV".format( started_cluster.minio_ip, MINIO_INTERNAL_PORT, bucket, filename, maybe_auth, table_format, ) csv_data = "8,9,16\n11,18,13\n22,14,2\n" try: run_query(instance, put_query, stdin=csv_data) except helpers.client.QueryRuntimeException: if positive: raise else: assert positive assert csv_data == get_s3_file_content(started_cluster, bucket, filename) # Test put and get with S3 server redirect. def test_put_get_with_redirect(started_cluster): # type: (ClickHouseCluster) -> None bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_format = "column1 UInt32, column2 UInt32, column3 UInt32" values = "(1, 1, 1), (1, 1, 1), (11, 11, 11)" values_csv = "1,1,1\n1,1,1\n11,11,11\n" filename = "test.csv" query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') settings s3_truncate_on_insert=1 values {}".format( started_cluster.minio_redirect_host, started_cluster.minio_redirect_port, bucket, filename, table_format, values, ) run_query(instance, query) assert values_csv == get_s3_file_content(started_cluster, bucket, filename) query = "select *, column1*column2*column3 from s3('http://{}:{}/{}/{}', 'CSV', '{}')".format( started_cluster.minio_redirect_host, started_cluster.minio_redirect_port, bucket, filename, table_format, ) stdout = run_query(instance, query) assert list(map(str.split, stdout.splitlines())) == [ ["1", "1", "1", "1"], ["1", "1", "1", "1"], ["11", "11", "11", "1331"], ] # Test put with restricted S3 server redirect. def test_put_with_zero_redirect(started_cluster): # type: (ClickHouseCluster) -> None bucket = started_cluster.minio_bucket instance = started_cluster.instances["s3_max_redirects"] # type: ClickHouseInstance table_format = "column1 UInt32, column2 UInt32, column3 UInt32" values = "(1, 1, 1), (1, 1, 1), (11, 11, 11)" filename = "test.csv" # Should work without redirect query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') settings s3_truncate_on_insert=1 values {}".format( started_cluster.minio_ip, MINIO_INTERNAL_PORT, bucket, filename, table_format, values, ) run_query(instance, query) # Should not work with redirect query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') settings s3_truncate_on_insert=1 values {}".format( started_cluster.minio_redirect_host, started_cluster.minio_redirect_port, bucket, filename, table_format, values, ) exception_raised = False try: run_query(instance, query) except Exception as e: assert str(e).find("Too many redirects while trying to access") != -1 exception_raised = True finally: assert exception_raised def test_put_get_with_globs(started_cluster): # type: (ClickHouseCluster) -> None unique_prefix = random.randint(1, 10000) bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_format = "column1 UInt32, column2 UInt32, column3 UInt32" max_path = "" for i in range(10): for j in range(10): path = "{}/{}_{}/{}.csv".format( unique_prefix, i, random.choice(["a", "b", "c", "d"]), j ) max_path = max(path, max_path) values = "({},{},{})".format(i, j, i + j) query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') values {}".format( started_cluster.minio_ip, MINIO_INTERNAL_PORT, bucket, path, table_format, values, ) run_query(instance, query) query = "select sum(column1), sum(column2), sum(column3), min(_file), max(_path) from s3('http://{}:{}/{}/{}/*_{{a,b,c,d}}/%3f.csv', 'CSV', '{}')".format( started_cluster.minio_redirect_host, started_cluster.minio_redirect_port, bucket, unique_prefix, table_format, ) assert run_query(instance, query).splitlines() == [ "450\t450\t900\t0.csv\t{bucket}/{max_path}".format( bucket=bucket, max_path=max_path ) ] minio = started_cluster.minio_client for obj in list( minio.list_objects( started_cluster.minio_bucket, prefix="{}/".format(unique_prefix), recursive=True, ) ): minio.remove_object(started_cluster.minio_bucket, obj.object_name) # Test multipart put. @pytest.mark.parametrize( "maybe_auth,positive", [ pytest.param("", True, id="positive"), pytest.param("'wrongid','wrongkey'", False, id="negative"), # ("'minio','minio123',",True), Redirect with credentials not working with nginx. ], ) def test_multipart(started_cluster, maybe_auth, positive): # type: (ClickHouseCluster) -> None bucket = ( started_cluster.minio_bucket if not maybe_auth else started_cluster.minio_restricted_bucket ) instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_format = "column1 UInt32, column2 UInt32, column3 UInt32" # Minimum size of part is 5 Mb for Minio. # See: https://github.com/minio/minio/blob/master/docs/minio-limits.md min_part_size_bytes = 5 * 1024 * 1024 csv_size_bytes = int(min_part_size_bytes * 1.5) # To have 2 parts. one_line_length = 6 # 3 digits, 2 commas, 1 line separator. total_rows = csv_size_bytes // one_line_length # Generate data having size more than one part int_data = [[1, 2, 3] for i in range(total_rows)] csv_data = "".join(["{},{},{}\n".format(x, y, z) for x, y, z in int_data]) assert len(csv_data) > min_part_size_bytes filename = "test_multipart.csv" put_query = "insert into table function s3('http://{}:{}/{}/{}', {}'CSV', '{}') format CSV".format( started_cluster.minio_redirect_host, started_cluster.minio_redirect_port, bucket, filename, maybe_auth, table_format, ) try: run_query( instance, put_query, stdin=csv_data, settings={ "s3_min_upload_part_size": min_part_size_bytes, "s3_max_single_part_upload_size": 0, }, ) except helpers.client.QueryRuntimeException: if positive: raise else: assert positive # Use proxy access logs to count number of parts uploaded to Minio. proxy_logs = started_cluster.get_container_logs("proxy1") # type: str assert proxy_logs.count("PUT /{}/{}".format(bucket, filename)) >= 2 assert csv_data == get_s3_file_content(started_cluster, bucket, filename) # select uploaded data from many threads select_query = ( "select sum(column1), sum(column2), sum(column3) " "from s3('http://{host}:{port}/{bucket}/{filename}', {auth}'CSV', '{table_format}')".format( host=started_cluster.minio_redirect_host, port=started_cluster.minio_redirect_port, bucket=bucket, filename=filename, auth=maybe_auth, table_format=table_format, ) ) try: select_result = run_query( instance, select_query, settings={ "max_download_threads": random.randint(4, 16), "max_download_buffer_size": 1024 * 1024, }, ) except helpers.client.QueryRuntimeException: if positive: raise else: assert positive assert ( select_result == "\t".join(map(str, [total_rows, total_rows * 2, total_rows * 3])) + "\n" ) def test_remote_host_filter(started_cluster): instance = started_cluster.instances["restricted_dummy"] format = "column1 UInt32, column2 UInt32, column3 UInt32" query = "select *, column1*column2*column3 from s3('http://{}:{}/{}/test.csv', 'CSV', '{}')".format( "invalid_host", MINIO_INTERNAL_PORT, started_cluster.minio_bucket, format ) assert "not allowed in configuration file" in instance.query_and_get_error(query) other_values = "(1, 1, 1), (1, 1, 1), (11, 11, 11)" query = "insert into table function s3('http://{}:{}/{}/test.csv', 'CSV', '{}') values {}".format( "invalid_host", MINIO_INTERNAL_PORT, started_cluster.minio_bucket, format, other_values, ) assert "not allowed in configuration file" in instance.query_and_get_error(query) def test_wrong_s3_syntax(started_cluster): instance = started_cluster.instances["dummy"] # type: ClickHouseInstance expected_err_msg = "Code: 42" # NUMBER_OF_ARGUMENTS_DOESNT_MATCH query = "create table test_table_s3_syntax (id UInt32) ENGINE = S3('', '', '', '', '', '')" assert expected_err_msg in instance.query_and_get_error(query) expected_err_msg = "Code: 36" # BAD_ARGUMENTS query = "create table test_table_s3_syntax (id UInt32) ENGINE = S3('')" assert expected_err_msg in instance.query_and_get_error(query) # https://en.wikipedia.org/wiki/One_Thousand_and_One_Nights def test_s3_glob_scheherazade(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_format = "column1 UInt32, column2 UInt32, column3 UInt32" max_path = "" values = "(1, 1, 1)" nights_per_job = 1001 // 30 jobs = [] for night in range(0, 1001, nights_per_job): def add_tales(start, end): for i in range(start, end): path = "night_{}/tale.csv".format(i) query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') values {}".format( started_cluster.minio_ip, MINIO_INTERNAL_PORT, bucket, path, table_format, values, ) run_query(instance, query) jobs.append( threading.Thread( target=add_tales, args=(night, min(night + nights_per_job, 1001)) ) ) jobs[-1].start() for job in jobs: job.join() query = "select count(), sum(column1), sum(column2), sum(column3) from s3('http://{}:{}/{}/night_*/tale.csv', 'CSV', '{}')".format( started_cluster.minio_redirect_host, started_cluster.minio_redirect_port, bucket, table_format, ) assert run_query(instance, query).splitlines() == ["1001\t1001\t1001\t1001"] def run_s3_mocks(started_cluster): script_dir = os.path.join(os.path.dirname(__file__), "s3_mocks") start_mock_servers( started_cluster, script_dir, [ ("mock_s3.py", "resolver", "8080"), ("unstable_server.py", "resolver", "8081"), ("echo.py", "resolver", "8082"), ("no_list_objects.py", "resolver", "8083"), ], ) def replace_config(path, old, new): config = open(path, "r") config_lines = config.readlines() config.close() config_lines = [line.replace(old, new) for line in config_lines] config = open(path, "w") config.writelines(config_lines) config.close() def test_custom_auth_headers(started_cluster): config_path = os.path.join( SCRIPT_DIR, "./{}/dummy/configs/config.d/defaultS3.xml".format( started_cluster.instances_dir_name ), ) table_format = "column1 UInt32, column2 UInt32, column3 UInt32" filename = "test.csv" get_query = "select * from s3('http://resolver:8080/{bucket}/{file}', 'CSV', '{table_format}')".format( bucket=started_cluster.minio_restricted_bucket, file=filename, table_format=table_format, ) instance = started_cluster.instances["dummy"] # type: ClickHouseInstance result = run_query(instance, get_query) assert result == "1\t2\t3\n" instance.query("DROP TABLE IF EXISTS test") instance.query( "CREATE TABLE test ({table_format}) ENGINE = S3('http://resolver:8080/{bucket}/{file}', 'CSV')".format( bucket=started_cluster.minio_restricted_bucket, file=filename, table_format=table_format, ) ) assert run_query(instance, "SELECT * FROM test") == "1\t2\t3\n" replace_config( config_path, "
Authorization: Bearer TOKEN", "
Authorization: Bearer INVALID_TOKEN", ) instance.query("SYSTEM RELOAD CONFIG") ret, err = instance.query_and_get_answer_with_error("SELECT * FROM test") assert ret == "" and err != "" replace_config( config_path, "
Authorization: Bearer INVALID_TOKEN", "
Authorization: Bearer TOKEN", ) instance.query("SYSTEM RELOAD CONFIG") assert run_query(instance, "SELECT * FROM test") == "1\t2\t3\n" instance.query("DROP TABLE test") def test_custom_auth_headers_exclusion(started_cluster): table_format = "column1 UInt32, column2 UInt32, column3 UInt32" filename = "test.csv" get_query = f"SELECT * FROM s3('http://resolver:8080/{started_cluster.minio_restricted_bucket}/restricteddirectory/{filename}', 'CSV', '{table_format}')" instance = started_cluster.instances["dummy"] # type: ClickHouseInstance with pytest.raises(helpers.client.QueryRuntimeException) as ei: result = run_query(instance, get_query) print(result) assert ei.value.returncode == 243 assert "HTTP response code: 403" in ei.value.stderr def test_infinite_redirect(started_cluster): bucket = "redirected" table_format = "column1 UInt32, column2 UInt32, column3 UInt32" filename = "test.csv" get_query = f"select * from s3('http://resolver:{started_cluster.minio_redirect_port}/{bucket}/{filename}', 'CSV', '{table_format}')" instance = started_cluster.instances["dummy"] # type: ClickHouseInstance exception_raised = False try: run_query(instance, get_query) except Exception as e: assert str(e).find("Too many redirects while trying to access") != -1 exception_raised = True finally: assert exception_raised @pytest.mark.parametrize( "extension,method", [pytest.param("bin", "gzip", id="bin"), pytest.param("gz", "auto", id="gz")], ) def test_storage_s3_get_gzip(started_cluster, extension, method): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] filename = f"test_get_gzip.{extension}" name = f"test_get_gzip_{extension}" data = [ "Sophia Intrieri,55", "Jack Taylor,71", "Christopher Silva,66", "Clifton Purser,35", "Richard Aceuedo,43", "Lisa Hensley,31", "Alice Wehrley,1", "Mary Farmer,47", "Samara Ramirez,19", "Shirley Lloyd,51", "Santos Cowger,0", "Richard Mundt,88", "Jerry Gonzalez,15", "Angela James,10", "Norman Ortega,33", "", ] run_query(instance, f"DROP TABLE IF EXISTS {name}") buf = io.BytesIO() compressed = gzip.GzipFile(fileobj=buf, mode="wb") compressed.write(("\n".join(data)).encode()) compressed.close() put_s3_file_content(started_cluster, bucket, filename, buf.getvalue()) run_query( instance, f"""CREATE TABLE {name} (name String, id UInt32) ENGINE = S3( 'http://{started_cluster.minio_ip}:{MINIO_INTERNAL_PORT}/{bucket}/{filename}', 'CSV', '{method}')""", ) run_query(instance, f"SELECT sum(id) FROM {name}").splitlines() == ["565"] run_query(instance, f"DROP TABLE {name}") def test_storage_s3_get_unstable(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] table_format = "column1 Int64, column2 Int64, column3 Int64, column4 Int64" get_query = f"SELECT count(), sum(column3), sum(column4) FROM s3('http://resolver:8081/{started_cluster.minio_bucket}/test.csv', 'CSV', '{table_format}') FORMAT CSV" result = run_query(instance, get_query) assert result.splitlines() == ["500001,500000,0"] def test_storage_s3_put_uncompressed(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] filename = "test_put_uncompressed.bin" name = "test_put_uncompressed" data = [ "'Gloria Thompson',99", "'Matthew Tang',98", "'Patsy Anderson',23", "'Nancy Badillo',93", "'Roy Hunt',5", "'Adam Kirk',51", "'Joshua Douds',28", "'Jolene Ryan',0", "'Roxanne Padilla',50", "'Howard Roberts',41", "'Ricardo Broughton',13", "'Roland Speer',83", "'Cathy Cohan',58", "'Kathie Dawson',100", "'Gregg Mcquistion',11", ] run_query( instance, "CREATE TABLE {} (name String, id UInt32) ENGINE = S3('http://{}:{}/{}/{}', 'CSV')".format( name, started_cluster.minio_ip, MINIO_INTERNAL_PORT, bucket, filename ), ) run_query(instance, "INSERT INTO {} VALUES ({})".format(name, "),(".join(data))) run_query(instance, "SELECT sum(id) FROM {}".format(name)).splitlines() == ["753"] uncompressed_content = get_s3_file_content(started_cluster, bucket, filename) assert sum([int(i.split(",")[1]) for i in uncompressed_content.splitlines()]) == 753 @pytest.mark.parametrize( "extension,method", [pytest.param("bin", "gzip", id="bin"), pytest.param("gz", "auto", id="gz")], ) def test_storage_s3_put_gzip(started_cluster, extension, method): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] filename = f"test_put_gzip.{extension}" name = f"test_put_gzip_{extension}" data = [ "'Joseph Tomlinson',5", "'Earnest Essary',44", "'Matha Pannell',24", "'Michael Shavers',46", "'Elias Groce',38", "'Pamela Bramlet',50", "'Lewis Harrell',49", "'Tamara Fyall',58", "'George Dixon',38", "'Alice Walls',49", "'Paula Mais',24", "'Myrtle Pelt',93", "'Sylvia Naffziger',18", "'Amanda Cave',83", "'Yolanda Joseph',89", ] run_query( instance, f"""CREATE TABLE {name} (name String, id UInt32) ENGINE = S3( 'http://{started_cluster.minio_ip}:{MINIO_INTERNAL_PORT}/{bucket}/{filename}', 'CSV', '{method}')""", ) run_query(instance, f"INSERT INTO {name} VALUES ({'),('.join(data)})") run_query(instance, f"SELECT sum(id) FROM {name}").splitlines() == ["708"] buf = io.BytesIO( get_s3_file_content(started_cluster, bucket, filename, decode=False) ) f = gzip.GzipFile(fileobj=buf, mode="rb") uncompressed_content = f.read().decode() assert sum([int(i.split(",")[1]) for i in uncompressed_content.splitlines()]) == 708 def test_truncate_table(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] # type: ClickHouseInstance name = "truncate" instance.query( "CREATE TABLE {} (id UInt32) ENGINE = S3('http://{}:{}/{}/{}', 'CSV')".format( name, started_cluster.minio_ip, MINIO_INTERNAL_PORT, bucket, name ) ) instance.query("INSERT INTO {} SELECT number FROM numbers(10)".format(name)) result = instance.query("SELECT * FROM {}".format(name)) assert result == instance.query("SELECT number FROM numbers(10)") instance.query("TRUNCATE TABLE {}".format(name)) minio = started_cluster.minio_client timeout = 30 while timeout > 0: if ( len(list(minio.list_objects(started_cluster.minio_bucket, "truncate/"))) == 0 ): return timeout -= 1 time.sleep(1) assert len(list(minio.list_objects(started_cluster.minio_bucket, "truncate/"))) == 0 assert instance.query("SELECT * FROM {}".format(name)) == "" def test_predefined_connection_configuration(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances[ "dummy_without_named_collections" ] # type: ClickHouseInstance name = "test_table" instance.query("CREATE USER user") instance.query("GRANT CREATE ON *.* TO user") instance.query("GRANT SOURCES ON *.* TO user") instance.query("GRANT SELECT ON *.* TO user") instance.query(f"drop table if exists {name}", user="user") error = instance.query_and_get_error( f"CREATE TABLE {name} (id UInt32) ENGINE = S3(s3_conf1, format='CSV')" ) assert ( "To execute this query it's necessary to have grant NAMED COLLECTION ON s3_conf1" in error ) error = instance.query_and_get_error( f"CREATE TABLE {name} (id UInt32) ENGINE = S3(s3_conf1, format='CSV')", user="user", ) assert ( "To execute this query it's necessary to have grant NAMED COLLECTION ON s3_conf1" in error ) instance.query("GRANT NAMED COLLECTION ON s3_conf1 TO user", user="admin") instance.query( f"CREATE TABLE {name} (id UInt32) ENGINE = S3(s3_conf1, format='CSV')", user="user", ) instance.query(f"INSERT INTO {name} SELECT number FROM numbers(10)") result = instance.query(f"SELECT * FROM {name}") assert result == instance.query("SELECT number FROM numbers(10)") result = instance.query( "SELECT * FROM s3(s3_conf1, format='CSV', structure='id UInt32')", user="user" ) assert result == instance.query("SELECT number FROM numbers(10)") error = instance.query_and_get_error("SELECT * FROM s3(no_collection)") assert ( "To execute this query it's necessary to have grant NAMED COLLECTION ON no_collection" in error ) error = instance.query_and_get_error("SELECT * FROM s3(no_collection)", user="user") assert ( "To execute this query it's necessary to have grant NAMED COLLECTION ON no_collection" in error ) instance = started_cluster.instances["dummy"] # has named collection access error = instance.query_and_get_error("SELECT * FROM s3(no_collection)") assert "There is no named collection `no_collection`" in error result = "" def test_url_reconnect_in_the_middle(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] table_format = "id String, data String" filename = "test_url_reconnect_{}.tsv".format(random.randint(0, 1000)) instance.query( f"""insert into table function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'TSV', '{table_format}') select number, randomPrintableASCII(number % 1000) from numbers(1000000)""" ) with PartitionManager() as pm: pm_rule_reject = { "probability": 0.02, "destination": instance.ip_address, "source_port": started_cluster.minio_port, "action": "REJECT --reject-with tcp-reset", } pm_rule_drop_all = { "destination": instance.ip_address, "source_port": started_cluster.minio_port, "action": "DROP", } pm._add_rule(pm_rule_reject) def select(): global result result = instance.query( f"""select sum(cityHash64(x)) from (select toUInt64(id) + sleep(0.1) as x from url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'TSV', '{table_format}') settings http_max_tries = 10, http_retry_max_backoff_ms=2000, http_send_timeout=1, http_receive_timeout=1)""" ) assert int(result) == 3914219105369203805 thread = threading.Thread(target=select) thread.start() time.sleep(4) pm._add_rule(pm_rule_drop_all) time.sleep(2) pm._delete_rule(pm_rule_drop_all) pm._delete_rule(pm_rule_reject) thread.join() assert int(result) == 3914219105369203805 def test_seekable_formats(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_function = f"s3(s3_parquet, structure='a Int32, b String', format='Parquet')" exec_query_with_retry( instance, f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(1000000) settings s3_truncate_on_insert=1", ) result = instance.query(f"SELECT count() FROM {table_function}") assert int(result) == 1000000 table_function = f"s3(s3_orc, structure='a Int32, b String', format='ORC')" exec_query_with_retry( instance, f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(1500000) settings s3_truncate_on_insert=1", ) result = instance.query( f"SELECT count() FROM {table_function} SETTINGS max_memory_usage='60M', max_download_threads=1" ) assert int(result) == 1500000 instance.query(f"SELECT * FROM {table_function} FORMAT Null") instance.query("SYSTEM FLUSH LOGS") result = instance.query( f"SELECT formatReadableSize(ProfileEvents['ReadBufferFromS3Bytes']) FROM system.query_log WHERE startsWith(query, 'SELECT * FROM s3') AND memory_usage > 0 AND type='QueryFinish' ORDER BY event_time_microseconds DESC LIMIT 1" ) result = result.strip() assert result.endswith("MiB") result = result[: result.index(".")] assert int(result) > 150 def test_seekable_formats_url(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] # type: ClickHouseInstance table_function = f"s3(s3_parquet, structure='a Int32, b String', format='Parquet')" exec_query_with_retry( instance, f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(1500000) settings s3_truncate_on_insert=1", ) result = instance.query(f"SELECT count() FROM {table_function}") assert int(result) == 1500000 table_function = f"s3(s3_orc, structure='a Int32, b String', format='ORC')" exec_query_with_retry( instance, f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(1500000) settings s3_truncate_on_insert=1", ) table_function = f"url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_parquet', 'Parquet', 'a Int32, b String')" result = instance.query( f"SELECT count() FROM {table_function} SETTINGS max_memory_usage='60M'" ) assert int(result) == 1500000 def test_empty_file(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] name = "empty" url = f"http://{started_cluster.minio_ip}:{MINIO_INTERNAL_PORT}/{bucket}/{name}" minio = started_cluster.minio_client minio.put_object(bucket, name, io.BytesIO(b""), 0) table_function = f"s3('{url}', 'CSV', 'id Int32')" result = instance.query(f"SELECT count() FROM {table_function}") assert int(result) == 0 def test_insert_with_path_with_globs(started_cluster): instance = started_cluster.instances["dummy"] table_function_3 = f"s3('http://minio1:9001/root/test_parquet*', 'minio', 'minio123', 'Parquet', 'a Int32, b String')" instance.query_and_get_error( f"insert into table function {table_function_3} SELECT number, randomString(100) FROM numbers(500)" ) def test_s3_schema_inference(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] instance.query( f"insert into table function s3(s3_native, structure='a Int32, b String', format='Native') select number, randomString(100) from numbers(5000000)" ) result = instance.query(f"desc s3(s3_native, format='Native')") assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n" result = instance.query(f"select count(*) from s3(s3_native, format='Native')") assert int(result) == 5000000 instance.query( f"create table schema_inference engine=S3(s3_native, format='Native')" ) result = instance.query(f"desc schema_inference") assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n" result = instance.query(f"select count(*) from schema_inference") assert int(result) == 5000000 table_function = f"url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_native', 'Native')" result = instance.query(f"desc {table_function}") assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n" result = instance.query(f"select count(*) from {table_function}") assert int(result) == 5000000 instance.query( f"create table schema_inference_2 engine=URL('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_native', 'Native')" ) result = instance.query(f"desc schema_inference_2") assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n" result = instance.query(f"select count(*) from schema_inference_2") assert int(result) == 5000000 table_function = f"s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_native', 'Native')" result = instance.query(f"desc {table_function}") assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n" result = instance.query(f"select count(*) from {table_function}") assert int(result) == 5000000 def test_empty_file(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] name = "empty" url = f"http://{started_cluster.minio_ip}:{MINIO_INTERNAL_PORT}/{bucket}/{name}" minio = started_cluster.minio_client minio.put_object(bucket, name, io.BytesIO(b""), 0) table_function = f"s3('{url}', 'CSV', 'id Int32')" result = instance.query(f"SELECT count() FROM {table_function}") assert int(result) == 0 def test_overwrite(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] table_function = f"s3(s3_parquet, structure='a Int32, b String', format='Parquet')" instance.query(f"create table test_overwrite as {table_function}") instance.query(f"truncate table test_overwrite") instance.query( f"insert into test_overwrite select number, randomString(100) from numbers(50) settings s3_truncate_on_insert=1" ) instance.query_and_get_error( f"insert into test_overwrite select number, randomString(100) from numbers(100)" ) instance.query( f"insert into test_overwrite select number, randomString(100) from numbers(200) settings s3_truncate_on_insert=1" ) result = instance.query(f"select count() from test_overwrite") assert int(result) == 200 def test_create_new_files_on_insert(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] table_function = f"s3(s3_parquet, structure='a Int32, b String', format='Parquet')" instance.query(f"create table test_multiple_inserts as {table_function}") instance.query(f"truncate table test_multiple_inserts") instance.query( f"insert into test_multiple_inserts select number, randomString(100) from numbers(10) settings s3_truncate_on_insert=1" ) instance.query( f"insert into test_multiple_inserts select number, randomString(100) from numbers(20) settings s3_create_new_file_on_insert=1" ) instance.query( f"insert into test_multiple_inserts select number, randomString(100) from numbers(30) settings s3_create_new_file_on_insert=1" ) result = instance.query(f"select count() from test_multiple_inserts") assert int(result) == 60 instance.query(f"drop table test_multiple_inserts") table_function = ( f"s3(s3_parquet_gz, structure='a Int32, b String', format='Parquet')" ) instance.query(f"create table test_multiple_inserts as {table_function}") instance.query(f"truncate table test_multiple_inserts") instance.query( f"insert into test_multiple_inserts select number, randomString(100) from numbers(10) settings s3_truncate_on_insert=1" ) instance.query( f"insert into test_multiple_inserts select number, randomString(100) from numbers(20) settings s3_create_new_file_on_insert=1" ) instance.query( f"insert into test_multiple_inserts select number, randomString(100) from numbers(30) settings s3_create_new_file_on_insert=1" ) result = instance.query(f"select count() from test_multiple_inserts") assert int(result) == 60 def test_format_detection(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] instance.query(f"create table arrow_table_s3 (x UInt64) engine=S3(s3_arrow)") instance.query(f"insert into arrow_table_s3 select 1") result = instance.query(f"select * from s3(s3_arrow)") assert int(result) == 1 result = instance.query( f"select * from url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow')" ) assert int(result) == 1 result = instance.query( f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow')" ) assert int(result) == 1 instance.query(f"create table parquet_table_s3 (x UInt64) engine=S3(s3_parquet2)") instance.query(f"insert into parquet_table_s3 select 1") result = instance.query(f"select * from s3(s3_parquet2)") assert int(result) == 1 result = instance.query( f"select * from url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.parquet')" ) assert int(result) == 1 result = instance.query( f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.parquet')" ) assert int(result) == 1 def test_schema_inference_from_globs(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] instance.query( f"insert into table function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test1.jsoncompacteachrow', 'JSONCompactEachRow', 'x Nullable(UInt32)') select NULL" ) instance.query( f"insert into table function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test2.jsoncompacteachrow', 'JSONCompactEachRow', 'x Nullable(UInt32)') select 0" ) url_filename = "test{1,2}.jsoncompacteachrow" result = instance.query( f"desc url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{url_filename}')" ) assert result.strip() == "c1\tNullable(Int64)" result = instance.query( f"select * from url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{url_filename}')" ) assert sorted(result.split()) == ["0", "\\N"] result = instance.query( f"desc s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test*.jsoncompacteachrow')" ) assert result.strip() == "c1\tNullable(Int64)" result = instance.query( f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test*.jsoncompacteachrow')" ) assert sorted(result.split()) == ["0", "\\N"] instance.query( f"insert into table function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test3.jsoncompacteachrow', 'JSONCompactEachRow', 'x Nullable(UInt32)') select NULL" ) url_filename = "test{1,3}.jsoncompacteachrow" result = instance.query_and_get_error( f"desc s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{url_filename}') settings schema_inference_use_cache_for_s3=0" ) assert "All attempts to extract table structure from files failed" in result result = instance.query_and_get_error( f"desc url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{url_filename}') settings schema_inference_use_cache_for_url=0" ) assert "All attempts to extract table structure from files failed" in result instance.query( f"insert into table function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test0.jsoncompacteachrow', 'TSV', 'x String') select '[123;]'" ) result = instance.query_and_get_error( f"desc s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test*.jsoncompacteachrow') settings schema_inference_use_cache_for_s3=0" ) assert ( "Cannot extract table structure from JSONCompactEachRow format file" in result ) url_filename = "test{0,1,2,3}.jsoncompacteachrow" result = instance.query_and_get_error( f"desc url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{url_filename}') settings schema_inference_use_cache_for_url=0" ) assert ( "Cannot extract table structure from JSONCompactEachRow format file" in result ) def test_signatures(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] instance.query(f"create table test_signatures (x UInt64) engine=S3(s3_arrow)") instance.query(f"truncate table test_signatures") instance.query(f"insert into test_signatures select 1") result = instance.query( f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow')" ) assert int(result) == 1 result = instance.query( f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow', 'Arrow', 'x UInt64')" ) assert int(result) == 1 result = instance.query( f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow', 'minio', 'minio123')" ) assert int(result) == 1 result = instance.query( f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow', 'Arrow', 'x UInt64', 'auto')" ) assert int(result) == 1 result = instance.query( f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow', 'minio', 'minio123', 'Arrow')" ) assert int(result) == 1 def test_select_columns(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] name = "test_table2" structure = "id UInt32, value1 Int32, value2 Int32" instance.query(f"drop table if exists {name}") instance.query( f"CREATE TABLE {name} ({structure}) ENGINE = S3(s3_conf1, format='Parquet')" ) limit = 10000000 instance.query( f"INSERT INTO {name} SELECT * FROM generateRandom('{structure}') LIMIT {limit} SETTINGS s3_truncate_on_insert=1" ) instance.query(f"SELECT value2 FROM {name}") instance.query("SYSTEM FLUSH LOGS") result1 = instance.query( f"SELECT read_bytes FROM system.query_log WHERE type='QueryFinish' and query LIKE 'SELECT value2 FROM {name}'" ) instance.query(f"SELECT * FROM {name}") instance.query("SYSTEM FLUSH LOGS") result2 = instance.query( f"SELECT read_bytes FROM system.query_log WHERE type='QueryFinish' and query LIKE 'SELECT * FROM {name}'" ) assert int(result1) * 3 <= int(result2) def test_insert_select_schema_inference(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] instance.query( f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_insert_select.native') select toUInt64(1) as x" ) result = instance.query( f"desc s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_insert_select.native')" ) assert result.strip() == "x\tUInt64" result = instance.query( f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_insert_select.native')" ) assert int(result) == 1 def test_parallel_reading_with_memory_limit(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] instance.query( f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_memory_limit.native') select * from numbers(1000000)" ) result = instance.query_and_get_error( f"select * from url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_memory_limit.native') settings max_memory_usage=1000" ) assert "Memory limit (for query) exceeded" in result time.sleep(5) # Check that server didn't crash result = instance.query("select 1") assert int(result) == 1 def test_wrong_format_usage(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] instance.query( f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_wrong_format.native') select * from numbers(10e6)" ) # size(test_wrong_format.native) = 10e6*8+16(header) ~= 76MiB # ensure that not all file will be loaded into memory result = instance.query_and_get_error( f"desc s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_wrong_format.native', 'Parquet') settings input_format_allow_seeks=0, max_memory_usage='10Mi'" ) assert "Not a Parquet file" in result def check_profile_event_for_query(instance, query, profile_event, amount): instance.query("system flush logs") query = query.replace("'", "\\'") res = int( instance.query( f"select ProfileEvents['{profile_event}'] from system.query_log where query='{query}' and type = 'QueryFinish' order by query_start_time_microseconds desc limit 1" ) ) assert res == amount def check_cache_misses(instance, file, storage_name, started_cluster, bucket, amount=1): query = f"desc {storage_name}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{file}')" check_profile_event_for_query(instance, query, "SchemaInferenceCacheMisses", amount) def check_cache_hits(instance, file, storage_name, started_cluster, bucket, amount=1): query = f"desc {storage_name}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{file}')" check_profile_event_for_query(instance, query, "SchemaInferenceCacheHits", amount) def check_cache_invalidations( instance, file, storage_name, started_cluster, bucket, amount=1 ): query = f"desc {storage_name}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{file}')" check_profile_event_for_query( instance, query, "SchemaInferenceCacheInvalidations", amount ) def check_cache_evictions( instance, file, storage_name, started_cluster, bucket, amount=1 ): query = f"desc {storage_name}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{file}')" check_profile_event_for_query( instance, query, "SchemaInferenceCacheEvictions", amount ) def run_describe_query(instance, file, storage_name, started_cluster, bucket): query = f"desc {storage_name}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{file}')" instance.query(query) def check_cache(instance, expected_files): sources = instance.query("select source from system.schema_inference_cache") assert sorted(map(lambda x: x.strip().split("/")[-1], sources.split())) == sorted( expected_files ) def test_schema_inference_cache(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] def test(storage_name): instance.query("system drop schema cache") instance.query( f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache0.jsonl') select * from numbers(100) settings s3_truncate_on_insert=1" ) time.sleep(1) run_describe_query( instance, "test_cache0.jsonl", storage_name, started_cluster, bucket ) check_cache(instance, ["test_cache0.jsonl"]) check_cache_misses( instance, "test_cache0.jsonl", storage_name, started_cluster, bucket ) run_describe_query( instance, "test_cache0.jsonl", storage_name, started_cluster, bucket ) check_cache_hits( instance, "test_cache0.jsonl", storage_name, started_cluster, bucket ) instance.query( f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache0.jsonl') select * from numbers(100) settings s3_truncate_on_insert=1" ) time.sleep(1) run_describe_query( instance, "test_cache0.jsonl", storage_name, started_cluster, bucket ) check_cache_invalidations( instance, "test_cache0.jsonl", storage_name, started_cluster, bucket ) instance.query( f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache1.jsonl') select * from numbers(100) settings s3_truncate_on_insert=1" ) time.sleep(1) run_describe_query( instance, "test_cache1.jsonl", storage_name, started_cluster, bucket ) check_cache(instance, ["test_cache0.jsonl", "test_cache1.jsonl"]) check_cache_misses( instance, "test_cache1.jsonl", storage_name, started_cluster, bucket ) run_describe_query( instance, "test_cache1.jsonl", storage_name, started_cluster, bucket ) check_cache_hits( instance, "test_cache1.jsonl", storage_name, started_cluster, bucket ) instance.query( f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache2.jsonl') select * from numbers(100) settings s3_truncate_on_insert=1" ) time.sleep(1) run_describe_query( instance, "test_cache2.jsonl", storage_name, started_cluster, bucket ) check_cache(instance, ["test_cache1.jsonl", "test_cache2.jsonl"]) check_cache_misses( instance, "test_cache2.jsonl", storage_name, started_cluster, bucket ) check_cache_evictions( instance, "test_cache2.jsonl", storage_name, started_cluster, bucket ) run_describe_query( instance, "test_cache2.jsonl", storage_name, started_cluster, bucket ) check_cache_hits( instance, "test_cache2.jsonl", storage_name, started_cluster, bucket ) run_describe_query( instance, "test_cache1.jsonl", storage_name, started_cluster, bucket ) check_cache_hits( instance, "test_cache1.jsonl", storage_name, started_cluster, bucket ) run_describe_query( instance, "test_cache0.jsonl", storage_name, started_cluster, bucket ) check_cache(instance, ["test_cache0.jsonl", "test_cache1.jsonl"]) check_cache_misses( instance, "test_cache0.jsonl", storage_name, started_cluster, bucket ) check_cache_evictions( instance, "test_cache0.jsonl", storage_name, started_cluster, bucket ) run_describe_query( instance, "test_cache2.jsonl", storage_name, started_cluster, bucket ) check_cache(instance, ["test_cache0.jsonl", "test_cache2.jsonl"]) check_cache_misses( instance, "test_cache2.jsonl", storage_name, started_cluster, bucket ) check_cache_evictions( instance, "test_cache2.jsonl", storage_name, started_cluster, bucket ) run_describe_query( instance, "test_cache2.jsonl", storage_name, started_cluster, bucket ) check_cache_hits( instance, "test_cache2.jsonl", storage_name, started_cluster, bucket ) run_describe_query( instance, "test_cache0.jsonl", storage_name, started_cluster, bucket ) check_cache_hits( instance, "test_cache0.jsonl", storage_name, started_cluster, bucket ) instance.query( f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache3.jsonl') select * from numbers(100) settings s3_truncate_on_insert=1" ) time.sleep(1) files = "test_cache{0,1,2,3}.jsonl" run_describe_query(instance, files, storage_name, started_cluster, bucket) check_cache_hits(instance, files, storage_name, started_cluster, bucket) instance.query(f"system drop schema cache for {storage_name}") check_cache(instance, []) run_describe_query(instance, files, storage_name, started_cluster, bucket) check_cache_misses(instance, files, storage_name, started_cluster, bucket, 4) instance.query("system drop schema cache") check_cache(instance, []) run_describe_query(instance, files, storage_name, started_cluster, bucket) check_cache_misses(instance, files, storage_name, started_cluster, bucket, 4) test("s3") test("url") def test_ast_auth_headers(started_cluster): bucket = started_cluster.minio_restricted_bucket instance = started_cluster.instances["s3_non_default"] # type: ClickHouseInstance filename = "test.csv" result = instance.query_and_get_error( f"select count() from s3('http://resolver:8080/{bucket}/{filename}', 'CSV', 'dummy String')" ) assert "HTTP response code: 403" in result assert "S3_ERROR" in result result = instance.query( f"select * from s3('http://resolver:8080/{bucket}/{filename}', 'CSV', headers(Authorization=`Bearer TOKEN`))" ) assert result.strip() == "1\t2\t3" def test_environment_credentials(started_cluster): bucket = started_cluster.minio_restricted_bucket instance = started_cluster.instances["s3_with_environment_credentials"] instance.query( f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache3.jsonl') select * from numbers(100) settings s3_truncate_on_insert=1" ) assert ( "100" == instance.query( f"select count() from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache3.jsonl')" ).strip() ) # manually defined access key should override from env with pytest.raises(helpers.client.QueryRuntimeException) as ei: instance.query( f"select count() from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache4.jsonl', 'aws', 'aws123')" ) assert ei.value.returncode == 243 assert "HTTP response code: 403" in ei.value.stderr def test_s3_list_objects_failure(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] # type: ClickHouseInstance filename = "test_no_list_{_partition_id}.csv" put_query = f""" INSERT INTO TABLE FUNCTION s3('http://resolver:8083/{bucket}/{filename}', 'CSV', 'c1 UInt32') PARTITION BY c1 % 20 SELECT number FROM numbers(100) SETTINGS s3_truncate_on_insert=1 """ run_query(instance, put_query) T = 10 for _ in range(0, T): started_cluster.exec_in_container( started_cluster.get_container_id("resolver"), [ "curl", "-X", "POST", f"http://localhost:8083/reset_counters?max={random.randint(1, 15)}", ], ) get_query = """ SELECT sleep({seconds}) FROM s3('http://resolver:8083/{bucket}/test_no_list_*', 'CSV', 'c1 UInt32') SETTINGS s3_list_object_keys_size = 1, max_threads = {max_threads}, enable_s3_requests_logging = 1 """.format( bucket=bucket, seconds=random.random(), max_threads=random.randint(2, 20) ) with pytest.raises(helpers.client.QueryRuntimeException) as ei: result = run_query(instance, get_query) print(result) assert ei.value.returncode == 243 assert "Could not list objects" in ei.value.stderr def test_skip_empty_files(started_cluster): bucket = started_cluster.minio_bucket instance = started_cluster.instances["dummy"] instance.query( f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files1.parquet', TSVRaw) select * from numbers(0) settings s3_truncate_on_insert=1" ) instance.query( f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files2.parquet') select * from numbers(1) settings s3_truncate_on_insert=1" ) def test(engine, setting): instance.query_and_get_error( f"select * from {engine}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files1.parquet') settings {setting}=0" ) instance.query_and_get_error( f"select * from {engine}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files1.parquet', auto, 'number UINt64') settings {setting}=0" ) instance.query_and_get_error( f"select * from {engine}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files1.parquet') settings {setting}=1" ) res = instance.query( f"select * from {engine}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files1.parquet', auto, 'number UInt64') settings {setting}=1" ) assert len(res) == 0 instance.query_and_get_error( f"select * from {engine}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files{{1,2}}.parquet') settings {setting}=0" ) instance.query_and_get_error( f"select * from {engine}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files{{1,2}}.parquet', auto, 'number UInt64') settings {setting}=0" ) res = instance.query( f"select * from {engine}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files{{1,2}}.parquet') settings {setting}=1" ) assert int(res) == 0 res = instance.query( f"select * from {engine}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files{{1,2}}.parquet', auto, 'number UInt64') settings {setting}=1" ) assert int(res) == 0 test("s3", "s3_skip_empty_files") test("url", "engine_url_skip_empty_files") res = instance.query( f"select * from url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files{{1|2}}.parquet') settings engine_url_skip_empty_files=1" ) assert int(res) == 0 res = instance.query( f"select * from url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/skip_empty_files{{11|1|22}}.parquet', auto, 'number UInt64') settings engine_url_skip_empty_files=1" ) assert len(res.strip()) == 0