import os import pytest import time from helpers.cluster import ClickHouseCluster from helpers.test_tools import TSV from pyhdfs import HdfsClient cluster = ClickHouseCluster(__file__) node1 = cluster.add_instance( "node1", main_configs=[ "configs/macro.xml", "configs/schema_cache.xml", "configs/cluster.xml", ], with_hdfs=True, ) @pytest.fixture(scope="module") def started_cluster(): try: cluster.start() yield cluster finally: cluster.shutdown() def test_read_write_storage(started_cluster): hdfs_api = started_cluster.hdfs_api node1.query("drop table if exists SimpleHDFSStorage SYNC") node1.query( "create table SimpleHDFSStorage (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/simple_storage', 'TSV')" ) node1.query("insert into SimpleHDFSStorage values (1, 'Mark', 72.53)") assert hdfs_api.read_data("/simple_storage") == "1\tMark\t72.53\n" assert node1.query("select * from SimpleHDFSStorage") == "1\tMark\t72.53\n" def test_read_write_storage_with_globs(started_cluster): hdfs_api = started_cluster.hdfs_api node1.query( "create table HDFSStorageWithRange (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/storage{1..5}', 'TSV')" ) node1.query( "create table HDFSStorageWithEnum (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/storage{1,2,3,4,5}', 'TSV')" ) node1.query( "create table HDFSStorageWithQuestionMark (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/storage?', 'TSV')" ) node1.query( "create table HDFSStorageWithAsterisk (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/storage*', 'TSV')" ) for i in ["1", "2", "3"]: hdfs_api.write_data("/storage" + i, i + "\tMark\t72.53\n") assert hdfs_api.read_data("/storage" + i) == i + "\tMark\t72.53\n" assert node1.query("select count(*) from HDFSStorageWithRange") == "3\n" assert node1.query("select count(*) from HDFSStorageWithEnum") == "3\n" assert node1.query("select count(*) from HDFSStorageWithQuestionMark") == "3\n" assert node1.query("select count(*) from HDFSStorageWithAsterisk") == "3\n" try: node1.query("insert into HDFSStorageWithEnum values (1, 'NEW', 4.2)") assert False, "Exception have to be thrown" except Exception as ex: print(ex) assert "in readonly mode" in str(ex) try: node1.query("insert into HDFSStorageWithQuestionMark values (1, 'NEW', 4.2)") assert False, "Exception have to be thrown" except Exception as ex: print(ex) assert "in readonly mode" in str(ex) try: node1.query("insert into HDFSStorageWithAsterisk values (1, 'NEW', 4.2)") assert False, "Exception have to be thrown" except Exception as ex: print(ex) assert "in readonly mode" in str(ex) def test_storage_with_multidirectory_glob(started_cluster): hdfs_api = started_cluster.hdfs_api for i in ["1", "2"]: hdfs_api.write_data( f"/multiglob/p{i}/path{i}/postfix/data{i}", f"File{i}\t{i}{i}\n" ) assert ( hdfs_api.read_data(f"/multiglob/p{i}/path{i}/postfix/data{i}") == f"File{i}\t{i}{i}\n" ) r = node1.query( "SELECT * FROM hdfs('hdfs://hdfs1:9000/multiglob/{p1/path1,p2/path2}/postfix/data{1,2}', TSV)" ) assert (r == f"File1\t11\nFile2\t22\n") or (r == f"File2\t22\nFile1\t11\n") try: node1.query( "SELECT * FROM hdfs('hdfs://hdfs1:9000/multiglob/{p4/path1,p2/path3}/postfix/data{1,2}.nonexist', TSV)" ) assert False, "Exception have to be thrown" except Exception as ex: print(ex) assert "no files" in str(ex) def test_read_write_table(started_cluster): hdfs_api = started_cluster.hdfs_api data = "1\tSerialize\t555.222\n2\tData\t777.333\n" hdfs_api.write_data("/simple_table_function", data) assert hdfs_api.read_data("/simple_table_function") == data assert ( node1.query( "select * from hdfs('hdfs://hdfs1:9000/simple_table_function', 'TSV', 'id UInt64, text String, number Float64')" ) == data ) def test_write_table(started_cluster): hdfs_api = started_cluster.hdfs_api node1.query( "create table OtherHDFSStorage (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/other_storage', 'TSV')" ) node1.query( "insert into OtherHDFSStorage values (10, 'tomas', 55.55), (11, 'jack', 32.54)" ) result = "10\ttomas\t55.55\n11\tjack\t32.54\n" assert hdfs_api.read_data("/other_storage") == result assert node1.query("select * from OtherHDFSStorage order by id") == result def test_bad_hdfs_uri(started_cluster): try: node1.query( "create table BadStorage1 (id UInt32, name String, weight Float64) ENGINE = HDFS('hads:hgsdfs100500:9000/other_storage', 'TSV')" ) except Exception as ex: print(ex) assert "Bad hdfs url" in str(ex) try: node1.query( "create table BadStorage2 (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs100500:9000/other_storage', 'TSV')" ) except Exception as ex: print(ex) assert "Unable to create builder to connect to HDFS" in str(ex) try: node1.query( "create table BadStorage3 (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/<>', 'TSV')" ) except Exception as ex: print(ex) assert "Unable to open HDFS file" in str(ex) @pytest.mark.timeout(800) def test_globs_in_read_table(started_cluster): hdfs_api = started_cluster.hdfs_api some_data = "1\tSerialize\t555.222\n2\tData\t777.333\n" globs_dir = "/dir_for_test_with_globs/" files = [ "dir1/dir_dir/file1", "dir2/file2", "simple_table_function", "dir/file", "some_dir/dir1/file", "some_dir/dir2/file", "some_dir/file", "table1_function", "table2_function", "table3_function", ] for filename in files: hdfs_api.write_data(globs_dir + filename, some_data) test_requests = [ ("dir{1..5}/dir_dir/file1", 1, 1), ("*_table_functio?", 1, 1), ("dir/fil?", 1, 1), ("table{3..8}_function", 1, 1), ("table{2..8}_function", 2, 2), ("dir/*", 1, 1), ("dir/*?*?*?*?*", 1, 1), ("dir/*?*?*?*?*?*", 0, 0), ("some_dir/*/file", 2, 1), ("some_dir/dir?/*", 2, 1), ("*/*/*", 3, 2), ("?", 0, 0), ] for pattern, paths_amount, files_amount in test_requests: inside_table_func = ( "'hdfs://hdfs1:9000" + globs_dir + pattern + "', 'TSV', 'id UInt64, text String, number Float64'" ) print("inside_table_func ", inside_table_func) assert ( node1.query("select * from hdfs(" + inside_table_func + ")") == paths_amount * some_data ) assert node1.query( "select count(distinct _path) from hdfs(" + inside_table_func + ")" ).rstrip() == str(paths_amount) assert node1.query( "select count(distinct _file) from hdfs(" + inside_table_func + ")" ).rstrip() == str(files_amount) def test_read_write_gzip_table(started_cluster): hdfs_api = started_cluster.hdfs_api data = "1\tHello Jessica\t555.222\n2\tI rolled a joint\t777.333\n" hdfs_api.write_gzip_data("/simple_table_function.gz", data) assert hdfs_api.read_gzip_data("/simple_table_function.gz") == data assert ( node1.query( "select * from hdfs('hdfs://hdfs1:9000/simple_table_function.gz', 'TSV', 'id UInt64, text String, number Float64')" ) == data ) def test_read_write_gzip_table_with_parameter_gzip(started_cluster): hdfs_api = started_cluster.hdfs_api data = "1\tHello Jessica\t555.222\n2\tI rolled a joint\t777.333\n" hdfs_api.write_gzip_data("/simple_table_function", data) assert hdfs_api.read_gzip_data("/simple_table_function") == data assert ( node1.query( "select * from hdfs('hdfs://hdfs1:9000/simple_table_function', 'TSV', 'id UInt64, text String, number Float64', 'gzip')" ) == data ) def test_read_write_table_with_parameter_none(started_cluster): hdfs_api = started_cluster.hdfs_api data = "1\tHello Jessica\t555.222\n2\tI rolled a joint\t777.333\n" hdfs_api.write_data("/simple_table_function.gz", data) assert hdfs_api.read_data("/simple_table_function.gz") == data assert ( node1.query( "select * from hdfs('hdfs://hdfs1:9000/simple_table_function.gz', 'TSV', 'id UInt64, text String, number Float64', 'none')" ) == data ) def test_read_write_gzip_table_with_parameter_auto_gz(started_cluster): hdfs_api = started_cluster.hdfs_api data = "1\tHello Jessica\t555.222\n2\tI rolled a joint\t777.333\n" hdfs_api.write_gzip_data("/simple_table_function.gz", data) assert hdfs_api.read_gzip_data("/simple_table_function.gz") == data assert ( node1.query( "select * from hdfs('hdfs://hdfs1:9000/simple_table_function.gz', 'TSV', 'id UInt64, text String, number Float64', 'auto')" ) == data ) def test_write_gz_storage(started_cluster): hdfs_api = started_cluster.hdfs_api node1.query( "create table GZHDFSStorage (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/storage.gz', 'TSV')" ) node1.query("insert into GZHDFSStorage values (1, 'Mark', 72.53)") assert hdfs_api.read_gzip_data("/storage.gz") == "1\tMark\t72.53\n" assert node1.query("select * from GZHDFSStorage") == "1\tMark\t72.53\n" def test_write_gzip_storage(started_cluster): hdfs_api = started_cluster.hdfs_api node1.query( "create table GZIPHDFSStorage (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/gzip_storage', 'TSV', 'gzip')" ) node1.query("insert into GZIPHDFSStorage values (1, 'Mark', 72.53)") assert hdfs_api.read_gzip_data("/gzip_storage") == "1\tMark\t72.53\n" assert node1.query("select * from GZIPHDFSStorage") == "1\tMark\t72.53\n" def test_virtual_columns(started_cluster): hdfs_api = started_cluster.hdfs_api node1.query( "create table virtual_cols (id UInt32) ENGINE = HDFS('hdfs://hdfs1:9000/file*', 'TSV')" ) hdfs_api.write_data("/file1", "1\n") hdfs_api.write_data("/file2", "2\n") hdfs_api.write_data("/file3", "3\n") expected = "1\tfile1\thdfs://hdfs1:9000//file1\n2\tfile2\thdfs://hdfs1:9000//file2\n3\tfile3\thdfs://hdfs1:9000//file3\n" assert ( node1.query( "select id, _file as file_name, _path as file_path from virtual_cols order by id" ) == expected ) def test_read_files_with_spaces(started_cluster): hdfs_api = started_cluster.hdfs_api fs = HdfsClient(hosts=started_cluster.hdfs_ip) dir = "/test_spaces" exists = fs.exists(dir) if exists: fs.delete(dir, recursive=True) fs.mkdirs(dir) hdfs_api.write_data(f"{dir}/test test test 1.txt", "1\n") hdfs_api.write_data(f"{dir}/test test test 2.txt", "2\n") hdfs_api.write_data(f"{dir}/test test test 3.txt", "3\n") node1.query( f"create table test (id UInt32) ENGINE = HDFS('hdfs://hdfs1:9000/{dir}/test*', 'TSV')" ) assert node1.query("select * from test order by id") == "1\n2\n3\n" fs.delete(dir, recursive=True) def test_truncate_table(started_cluster): hdfs_api = started_cluster.hdfs_api node1.query( "create table test_truncate (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/tr', 'TSV')" ) node1.query("insert into test_truncate values (1, 'Mark', 72.53)") assert hdfs_api.read_data("/tr") == "1\tMark\t72.53\n" assert node1.query("select * from test_truncate") == "1\tMark\t72.53\n" node1.query("truncate table test_truncate") assert node1.query("select * from test_truncate") == "" node1.query("drop table test_truncate") def test_partition_by(started_cluster): hdfs_api = started_cluster.hdfs_api table_format = "column1 UInt32, column2 UInt32, column3 UInt32" file_name = "test_{_partition_id}" partition_by = "column3" values = "(1, 2, 3), (3, 2, 1), (1, 3, 2)" table_function = f"hdfs('hdfs://hdfs1:9000/{file_name}', 'TSV', '{table_format}')" node1.query( f"insert into table function {table_function} PARTITION BY {partition_by} values {values}" ) result = node1.query( f"select * from hdfs('hdfs://hdfs1:9000/test_1', 'TSV', '{table_format}')" ) assert result.strip() == "3\t2\t1" result = node1.query( f"select * from hdfs('hdfs://hdfs1:9000/test_2', 'TSV', '{table_format}')" ) assert result.strip() == "1\t3\t2" result = node1.query( f"select * from hdfs('hdfs://hdfs1:9000/test_3', 'TSV', '{table_format}')" ) assert result.strip() == "1\t2\t3" file_name = "test2_{_partition_id}" node1.query( f"create table p(column1 UInt32, column2 UInt32, column3 UInt32) engine = HDFS('hdfs://hdfs1:9000/{file_name}', 'TSV') partition by column3" ) node1.query(f"insert into p values {values}") result = node1.query( f"select * from hdfs('hdfs://hdfs1:9000/test2_1', 'TSV', '{table_format}')" ) assert result.strip() == "3\t2\t1" result = node1.query( f"select * from hdfs('hdfs://hdfs1:9000/test2_2', 'TSV', '{table_format}')" ) assert result.strip() == "1\t3\t2" result = node1.query( f"select * from hdfs('hdfs://hdfs1:9000/test2_3', 'TSV', '{table_format}')" ) assert result.strip() == "1\t2\t3" def test_seekable_formats(started_cluster): hdfs_api = started_cluster.hdfs_api table_function = ( f"hdfs('hdfs://hdfs1:9000/parquet', 'Parquet', 'a Int32, b String')" ) node1.query( f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(5000000)" ) result = node1.query(f"SELECT count() FROM {table_function}") assert int(result) == 5000000 table_function = f"hdfs('hdfs://hdfs1:9000/orc', 'ORC', 'a Int32, b String')" node1.query( f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(5000000)" ) result = node1.query(f"SELECT count() FROM {table_function}") assert int(result) == 5000000 def test_read_table_with_default(started_cluster): hdfs_api = started_cluster.hdfs_api data = "n\n100\n" hdfs_api.write_data("/simple_table_function", data) assert hdfs_api.read_data("/simple_table_function") == data output = "n\tm\n100\t200\n" assert ( node1.query( "select * from hdfs('hdfs://hdfs1:9000/simple_table_function', 'TSVWithNames', 'n UInt32, m UInt32 DEFAULT n * 2') FORMAT TSVWithNames" ) == output ) def test_schema_inference(started_cluster): node1.query( f"insert into table function hdfs('hdfs://hdfs1:9000/native', 'Native', 'a Int32, b String') SELECT number, randomString(100) FROM numbers(5000000)" ) result = node1.query(f"desc hdfs('hdfs://hdfs1:9000/native', 'Native')") assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n" result = node1.query( f"select count(*) from hdfs('hdfs://hdfs1:9000/native', 'Native')" ) assert int(result) == 5000000 node1.query( f"create table schema_inference engine=HDFS('hdfs://hdfs1:9000/native', 'Native')" ) result = node1.query(f"desc schema_inference") assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n" result = node1.query(f"select count(*) from schema_inference") assert int(result) == 5000000 def test_hdfsCluster(started_cluster): hdfs_api = started_cluster.hdfs_api fs = HdfsClient(hosts=started_cluster.hdfs_ip) dir = "/test_hdfsCluster" exists = fs.exists(dir) if exists: fs.delete(dir, recursive=True) fs.mkdirs(dir) hdfs_api.write_data("/test_hdfsCluster/file1", "1\n") hdfs_api.write_data("/test_hdfsCluster/file2", "2\n") hdfs_api.write_data("/test_hdfsCluster/file3", "3\n") actual = node1.query( "select id, _file as file_name, _path as file_path from hdfs('hdfs://hdfs1:9000/test_hdfsCluster/file*', 'TSV', 'id UInt32') order by id" ) expected = "1\tfile1\thdfs://hdfs1:9000/test_hdfsCluster/file1\n2\tfile2\thdfs://hdfs1:9000/test_hdfsCluster/file2\n3\tfile3\thdfs://hdfs1:9000/test_hdfsCluster/file3\n" assert actual == expected actual = node1.query( "select id, _file as file_name, _path as file_path from hdfsCluster('test_cluster_two_shards', 'hdfs://hdfs1:9000/test_hdfsCluster/file*', 'TSV', 'id UInt32') order by id" ) expected = "1\tfile1\thdfs://hdfs1:9000/test_hdfsCluster/file1\n2\tfile2\thdfs://hdfs1:9000/test_hdfsCluster/file2\n3\tfile3\thdfs://hdfs1:9000/test_hdfsCluster/file3\n" assert actual == expected fs.delete(dir, recursive=True) def test_hdfs_directory_not_exist(started_cluster): ddl = "create table HDFSStorageWithNotExistDir (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/data/not_eixst', 'TSV')" node1.query(ddl) assert "" == node1.query("select * from HDFSStorageWithNotExistDir") def test_overwrite(started_cluster): hdfs_api = started_cluster.hdfs_api table_function = f"hdfs('hdfs://hdfs1:9000/data', 'Parquet', 'a Int32, b String')" node1.query(f"create table test_overwrite as {table_function}") node1.query( f"insert into test_overwrite select number, randomString(100) from numbers(5)" ) node1.query_and_get_error( f"insert into test_overwrite select number, randomString(100) FROM numbers(10)" ) node1.query( f"insert into test_overwrite select number, randomString(100) from numbers(10) settings hdfs_truncate_on_insert=1" ) result = node1.query(f"select count() from test_overwrite") assert int(result) == 10 def test_multiple_inserts(started_cluster): hdfs_api = started_cluster.hdfs_api table_function = f"hdfs('hdfs://hdfs1:9000/data_multiple_inserts', 'Parquet', 'a Int32, b String')" node1.query(f"create table test_multiple_inserts as {table_function}") node1.query( f"insert into test_multiple_inserts select number, randomString(100) from numbers(10)" ) node1.query( f"insert into test_multiple_inserts select number, randomString(100) from numbers(20) settings hdfs_create_new_file_on_insert=1" ) node1.query( f"insert into test_multiple_inserts select number, randomString(100) from numbers(30) settings hdfs_create_new_file_on_insert=1" ) result = node1.query(f"select count() from test_multiple_inserts") assert int(result) == 60 result = node1.query(f"drop table test_multiple_inserts") table_function = f"hdfs('hdfs://hdfs1:9000/data_multiple_inserts.gz', 'Parquet', 'a Int32, b String')" node1.query(f"create table test_multiple_inserts as {table_function}") node1.query( f"insert into test_multiple_inserts select number, randomString(100) FROM numbers(10)" ) node1.query( f"insert into test_multiple_inserts select number, randomString(100) FROM numbers(20) settings hdfs_create_new_file_on_insert=1" ) node1.query( f"insert into test_multiple_inserts select number, randomString(100) FROM numbers(30) settings hdfs_create_new_file_on_insert=1" ) result = node1.query(f"select count() from test_multiple_inserts") assert int(result) == 60 def test_format_detection(started_cluster): node1.query( f"create table arrow_table (x UInt64) engine=HDFS('hdfs://hdfs1:9000/data.arrow')" ) node1.query(f"insert into arrow_table select 1") result = node1.query(f"select * from hdfs('hdfs://hdfs1:9000/data.arrow')") assert int(result) == 1 def test_schema_inference_with_globs(started_cluster): node1.query( f"insert into table function hdfs('hdfs://hdfs1:9000/data1.jsoncompacteachrow', 'JSONCompactEachRow', 'x Nullable(UInt32)') select NULL" ) node1.query( f"insert into table function hdfs('hdfs://hdfs1:9000/data2.jsoncompacteachrow', 'JSONCompactEachRow', 'x Nullable(UInt32)') select 0" ) result = node1.query(f"desc hdfs('hdfs://hdfs1:9000/data*.jsoncompacteachrow')") assert result.strip() == "c1\tNullable(Int64)" result = node1.query( f"select * from hdfs('hdfs://hdfs1:9000/data*.jsoncompacteachrow')" ) assert sorted(result.split()) == ["0", "\\N"] node1.query( f"insert into table function hdfs('hdfs://hdfs1:9000/data3.jsoncompacteachrow', 'JSONCompactEachRow', 'x Nullable(UInt32)') select NULL" ) filename = "data{1,3}.jsoncompacteachrow" result = node1.query_and_get_error( f"desc hdfs('hdfs://hdfs1:9000/{filename}') settings schema_inference_use_cache_for_hdfs=0" ) assert "All attempts to extract table structure from files failed" in result node1.query( f"insert into table function hdfs('hdfs://hdfs1:9000/data0.jsoncompacteachrow', 'TSV', 'x String') select '[123;]'" ) result = node1.query_and_get_error( f"desc hdfs('hdfs://hdfs1:9000/data*.jsoncompacteachrow') settings schema_inference_use_cache_for_hdfs=0" ) assert ( "Cannot extract table structure from JSONCompactEachRow format file" in result ) def test_insert_select_schema_inference(started_cluster): node1.query( f"insert into table function hdfs('hdfs://hdfs1:9000/test.native.zst') select toUInt64(1) as x" ) result = node1.query(f"desc hdfs('hdfs://hdfs1:9000/test.native.zst')") assert result.strip() == "x\tUInt64" result = node1.query(f"select * from hdfs('hdfs://hdfs1:9000/test.native.zst')") assert int(result) == 1 def test_cluster_join(started_cluster): result = node1.query( """ SELECT l.id,r.id FROM hdfsCluster('test_cluster_two_shards', 'hdfs://hdfs1:9000/test_hdfsCluster/file*', 'TSV', 'id UInt32') as l JOIN hdfsCluster('test_cluster_two_shards', 'hdfs://hdfs1:9000/test_hdfsCluster/file*', 'TSV', 'id UInt32') as r ON l.id = r.id """ ) assert "AMBIGUOUS_COLUMN_NAME" not in result def test_cluster_macro(started_cluster): with_macro = node1.query( """ SELECT id FROM hdfsCluster('{default_cluster_macro}', 'hdfs://hdfs1:9000/test_hdfsCluster/file*', 'TSV', 'id UInt32') """ ) no_macro = node1.query( """ SELECT id FROM hdfsCluster('test_cluster_two_shards', 'hdfs://hdfs1:9000/test_hdfsCluster/file*', 'TSV', 'id UInt32') """ ) assert TSV(with_macro) == TSV(no_macro) def test_virtual_columns_2(started_cluster): hdfs_api = started_cluster.hdfs_api table_function = ( f"hdfs('hdfs://hdfs1:9000/parquet_2', 'Parquet', 'a Int32, b String')" ) node1.query(f"insert into table function {table_function} SELECT 1, 'kek'") result = node1.query(f"SELECT _path FROM {table_function}") assert result.strip() == "hdfs://hdfs1:9000/parquet_2" table_function = ( f"hdfs('hdfs://hdfs1:9000/parquet_3', 'Parquet', 'a Int32, _path String')" ) node1.query(f"insert into table function {table_function} SELECT 1, 'kek'") result = node1.query(f"SELECT _path FROM {table_function}") assert result.strip() == "kek" def get_profile_event_for_query(node, query, profile_event): node.query("system flush logs") query = query.replace("'", "\\'") return int( node.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" ) ) def check_cache_misses(node1, file, amount=1): assert ( get_profile_event_for_query( node1, f"desc hdfs('hdfs://hdfs1:9000/{file}')", "SchemaInferenceCacheMisses", ) == amount ) def check_cache_hits(node1, file, amount=1): assert ( get_profile_event_for_query( node1, f"desc hdfs('hdfs://hdfs1:9000/{file}')", "SchemaInferenceCacheHits" ) == amount ) def check_cache_invalidations(node1, file, amount=1): assert ( get_profile_event_for_query( node1, f"desc hdfs('hdfs://hdfs1:9000/{file}')", "SchemaInferenceCacheInvalidations", ) == amount ) def check_cache_evictions(node1, file, amount=1): assert ( get_profile_event_for_query( node1, f"desc hdfs('hdfs://hdfs1:9000/{file}')", "SchemaInferenceCacheEvictions", ) == amount ) def check_cache(node1, expected_files): sources = node1.query("select source from system.schema_inference_cache") assert sorted(map(lambda x: x.strip().split("/")[-1], sources.split())) == sorted( expected_files ) def run_describe_query(node, file): query = f"desc hdfs('hdfs://hdfs1:9000/{file}')" node.query(query) def test_schema_inference_cache(started_cluster): node1.query("system drop schema cache") node1.query( f"insert into function hdfs('hdfs://hdfs1:9000/test_cache0.jsonl') select * from numbers(100) settings hdfs_truncate_on_insert=1" ) time.sleep(1) run_describe_query(node1, "test_cache0.jsonl") check_cache(node1, ["test_cache0.jsonl"]) check_cache_misses(node1, "test_cache0.jsonl") run_describe_query(node1, "test_cache0.jsonl") check_cache_hits(node1, "test_cache0.jsonl") node1.query( f"insert into function hdfs('hdfs://hdfs1:9000/test_cache0.jsonl') select * from numbers(100) settings hdfs_truncate_on_insert=1" ) time.sleep(1) run_describe_query(node1, "test_cache0.jsonl") check_cache_invalidations(node1, "test_cache0.jsonl") node1.query( f"insert into function hdfs('hdfs://hdfs1:9000/test_cache1.jsonl') select * from numbers(100) settings hdfs_truncate_on_insert=1" ) time.sleep(1) run_describe_query(node1, "test_cache1.jsonl") check_cache(node1, ["test_cache0.jsonl", "test_cache1.jsonl"]) check_cache_misses(node1, "test_cache1.jsonl") run_describe_query(node1, "test_cache1.jsonl") check_cache_hits(node1, "test_cache1.jsonl") node1.query( f"insert into function hdfs('hdfs://hdfs1:9000/test_cache2.jsonl') select * from numbers(100) settings hdfs_truncate_on_insert=1" ) time.sleep(1) run_describe_query(node1, "test_cache2.jsonl") check_cache(node1, ["test_cache1.jsonl", "test_cache2.jsonl"]) check_cache_misses(node1, "test_cache2.jsonl") check_cache_evictions(node1, "test_cache2.jsonl") run_describe_query(node1, "test_cache2.jsonl") check_cache_hits(node1, "test_cache2.jsonl") run_describe_query(node1, "test_cache1.jsonl") check_cache_hits(node1, "test_cache1.jsonl") run_describe_query(node1, "test_cache0.jsonl") check_cache(node1, ["test_cache0.jsonl", "test_cache1.jsonl"]) check_cache_misses(node1, "test_cache0.jsonl") check_cache_evictions(node1, "test_cache0.jsonl") run_describe_query(node1, "test_cache2.jsonl") check_cache(node1, ["test_cache0.jsonl", "test_cache2.jsonl"]) check_cache_misses(node1, "test_cache2.jsonl") check_cache_evictions(node1, "test_cache2.jsonl") run_describe_query(node1, "test_cache2.jsonl") check_cache_hits(node1, "test_cache2.jsonl") run_describe_query(node1, "test_cache0.jsonl") check_cache_hits(node1, "test_cache0.jsonl") node1.query( f"insert into function hdfs('hdfs://hdfs1:9000/test_cache3.jsonl') select * from numbers(100) settings hdfs_truncate_on_insert=1" ) time.sleep(1) files = "test_cache{0,1,2,3}.jsonl" run_describe_query(node1, files) check_cache_hits(node1, files) node1.query(f"system drop schema cache for hdfs") check_cache(node1, []) run_describe_query(node1, files) check_cache_misses(node1, files, 4) node1.query("system drop schema cache") check_cache(node1, []) run_describe_query(node1, files) check_cache_misses(node1, files, 4) def test_hdfsCluster_skip_unavailable_shards(started_cluster): # Although skip_unavailable_shards is not set, cluster table functions should always skip unavailable shards. hdfs_api = started_cluster.hdfs_api node = started_cluster.instances["node1"] data = "1\tSerialize\t555.222\n2\tData\t777.333\n" hdfs_api.write_data("/skip_unavailable_shards", data) assert ( node1.query( "select * from hdfsCluster('cluster_non_existent_port', 'hdfs://hdfs1:9000/skip_unavailable_shards', 'TSV', 'id UInt64, text String, number Float64') settings skip_unavailable_shards = 1" ) == data ) def test_hdfsCluster_unset_skip_unavailable_shards(started_cluster): hdfs_api = started_cluster.hdfs_api node = started_cluster.instances["node1"] data = "1\tSerialize\t555.222\n2\tData\t777.333\n" hdfs_api.write_data("/unskip_unavailable_shards", data) assert ( node1.query( "select * from hdfsCluster('cluster_non_existent_port', 'hdfs://hdfs1:9000/skip_unavailable_shards', 'TSV', 'id UInt64, text String, number Float64')" ) == data ) def test_skip_empty_files(started_cluster): node = started_cluster.instances["node1"] node.query( f"insert into function hdfs('hdfs://hdfs1:9000/skip_empty_files1.parquet', TSVRaw) select * from numbers(0) settings hdfs_truncate_on_insert=1" ) node.query( f"insert into function hdfs('hdfs://hdfs1:9000/skip_empty_files2.parquet') select * from numbers(1) settings hdfs_truncate_on_insert=1" ) node.query_and_get_error( f"select * from hdfs('hdfs://hdfs1:9000/skip_empty_files1.parquet') settings hdfs_skip_empty_files=0" ) node.query_and_get_error( f"select * from hdfs('hdfs://hdfs1:9000/skip_empty_files1.parquet', auto, 'number UINt64') settings hdfs_skip_empty_files=0" ) node.query_and_get_error( f"select * from hdfs('hdfs://hdfs1:9000/skip_empty_files1.parquet') settings hdfs_skip_empty_files=1" ) res = node.query( f"select * from hdfs('hdfs://hdfs1:9000/skip_empty_files1.parquet', auto, 'number UInt64') settings hdfs_skip_empty_files=1" ) assert len(res) == 0 node.query_and_get_error( f"select * from hdfs('hdfs://hdfs1:9000/skip_empty_files*.parquet') settings hdfs_skip_empty_files=0" ) node.query_and_get_error( f"select * from hdfs('hdfs://hdfs1:9000/skip_empty_files*.parquet', auto, 'number UInt64') settings hdfs_skip_empty_files=0" ) res = node.query( f"select * from hdfs('hdfs://hdfs1:9000/skip_empty_files*.parquet') settings hdfs_skip_empty_files=1" ) assert int(res) == 0 res = node.query( f"select * from hdfs('hdfs://hdfs1:9000/skip_empty_files*.parquet', auto, 'number UInt64') settings hdfs_skip_empty_files=1" ) assert int(res) == 0 if __name__ == "__main__": cluster.start() input("Cluster created, press any key to destroy...") cluster.shutdown()