mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-23 08:02:02 +00:00
1173 lines
41 KiB
Python
1173 lines
41 KiB
Python
import os
|
|
|
|
import pytest
|
|
import time
|
|
from helpers.cluster import ClickHouseCluster, is_arm
|
|
from helpers.test_tools import TSV
|
|
from pyhdfs import HdfsClient
|
|
|
|
if is_arm():
|
|
pytestmark = pytest.mark.skip
|
|
|
|
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') settings input_format_json_infer_incomplete_types_as_strings=0"
|
|
)
|
|
assert result.strip() == "c1\tNullable(Int64)"
|
|
|
|
result = node1.query(
|
|
f"select * from hdfs('hdfs://hdfs1:9000/data*.jsoncompacteachrow') settings input_format_json_infer_incomplete_types_as_strings=0"
|
|
)
|
|
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, input_format_json_infer_incomplete_types_as_strings=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, input_format_json_infer_incomplete_types_as_strings=0"
|
|
)
|
|
|
|
assert "CANNOT_EXTRACT_TABLE_STRUCTURE" 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 check_profile_event_for_query(node, file, profile_event, amount=1):
|
|
node.query("system flush logs")
|
|
query_pattern = f"hdfs('hdfs://hdfs1:9000/{file}'".replace("'", "\\'")
|
|
assert (
|
|
int(
|
|
node.query(
|
|
f"select ProfileEvents['{profile_event}'] from system.query_log where query like '%{query_pattern}%' and type = 'QueryFinish' order by query_start_time_microseconds desc limit 1"
|
|
)
|
|
)
|
|
== amount
|
|
)
|
|
|
|
|
|
def check_cache_misses(node1, file, amount=1):
|
|
check_profile_event_for_query(node1, file, "SchemaInferenceCacheMisses", amount)
|
|
|
|
|
|
def check_cache_hits(node1, file, amount=1):
|
|
check_profile_event_for_query(node1, file, "SchemaInferenceCacheHits", amount)
|
|
|
|
|
|
def check_cache_invalidations(node1, file, amount=1):
|
|
check_profile_event_for_query(
|
|
node1, file, "SchemaInferenceCacheInvalidations", amount
|
|
)
|
|
|
|
|
|
def check_cache_evictions(node1, file, amount=1):
|
|
check_profile_event_for_query(node1, file, "SchemaInferenceCacheEvictions", amount)
|
|
|
|
|
|
def check_cache_num_rows_hits(node1, file, amount=1):
|
|
check_profile_event_for_query(
|
|
node1, file, "SchemaInferenceCacheNumRowsHits", 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 run_count_query(node, file):
|
|
query = f"select count() from hdfs('hdfs://hdfs1:9000/{file}', auto, 'x UInt64')"
|
|
return 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)
|
|
|
|
node1.query("system drop schema cache")
|
|
check_cache(node1, [])
|
|
|
|
node1.query(
|
|
f"insert into function hdfs('hdfs://hdfs1:9000/test_cache0.csv') select * from numbers(100) settings hdfs_truncate_on_insert=1"
|
|
)
|
|
time.sleep(1)
|
|
|
|
res = run_count_query(node1, "test_cache0.csv")
|
|
assert int(res) == 100
|
|
check_cache(node1, ["test_cache0.csv"])
|
|
check_cache_misses(node1, "test_cache0.csv")
|
|
|
|
res = run_count_query(node1, "test_cache0.csv")
|
|
assert int(res) == 100
|
|
check_cache_hits(node1, "test_cache0.csv")
|
|
|
|
node1.query(
|
|
f"insert into function hdfs('hdfs://hdfs1:9000/test_cache0.csv') select * from numbers(200) settings hdfs_truncate_on_insert=1"
|
|
)
|
|
time.sleep(1)
|
|
|
|
res = run_count_query(node1, "test_cache0.csv")
|
|
assert int(res) == 200
|
|
check_cache_invalidations(node1, "test_cache0.csv")
|
|
|
|
node1.query(
|
|
f"insert into function hdfs('hdfs://hdfs1:9000/test_cache1.csv') select * from numbers(100) settings hdfs_truncate_on_insert=1"
|
|
)
|
|
time.sleep(1)
|
|
|
|
res = run_count_query(node1, "test_cache1.csv")
|
|
assert int(res) == 100
|
|
check_cache(node1, ["test_cache0.csv", "test_cache1.csv"])
|
|
check_cache_misses(node1, "test_cache1.csv")
|
|
|
|
res = run_count_query(node1, "test_cache1.csv")
|
|
assert int(res) == 100
|
|
check_cache_hits(node1, "test_cache1.csv")
|
|
|
|
res = run_count_query(node1, "test_cache{0,1}.csv")
|
|
assert int(res) == 300
|
|
check_cache_hits(node1, "test_cache{0,1}.csv", 2)
|
|
|
|
node1.query(f"system drop schema cache for hdfs")
|
|
check_cache(node1, [])
|
|
|
|
res = run_count_query(node1, "test_cache{0,1}.csv")
|
|
assert int(res) == 300
|
|
check_cache_misses(node1, "test_cache{0,1}.csv", 2)
|
|
|
|
node1.query(f"system drop schema cache for hdfs")
|
|
check_cache(node1, [])
|
|
|
|
node1.query(
|
|
f"insert into function hdfs('hdfs://hdfs1:9000/test_cache.parquet') select * from numbers(100) settings hdfs_truncate_on_insert=1"
|
|
)
|
|
time.sleep(1)
|
|
res = node1.query(
|
|
f"select count() from hdfs('hdfs://hdfs1:9000/test_cache.parquet')"
|
|
)
|
|
assert int(res) == 100
|
|
check_cache_misses(node1, "test_cache.parquet")
|
|
check_cache_hits(node1, "test_cache.parquet")
|
|
check_cache_num_rows_hits(node1, "test_cache.parquet")
|
|
|
|
|
|
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
|
|
|
|
|
|
def test_read_subcolumns(started_cluster):
|
|
node = started_cluster.instances["node1"]
|
|
|
|
node.query(
|
|
f"insert into function hdfs('hdfs://hdfs1:9000/test_subcolumns.tsv', auto, 'a Tuple(b Tuple(c UInt32, d UInt32), e UInt32)') select ((1, 2), 3)"
|
|
)
|
|
|
|
node.query(
|
|
f"insert into function hdfs('hdfs://hdfs1:9000/test_subcolumns.jsonl', auto, 'a Tuple(b Tuple(c UInt32, d UInt32), e UInt32)') select ((1, 2), 3)"
|
|
)
|
|
|
|
res = node.query(
|
|
f"select a.b.d, _path, a.b, _file, a.e from hdfs('hdfs://hdfs1:9000/test_subcolumns.tsv', auto, 'a Tuple(b Tuple(c UInt32, d UInt32), e UInt32)')"
|
|
)
|
|
|
|
assert (
|
|
res
|
|
== "2\thdfs://hdfs1:9000/test_subcolumns.tsv\t(1,2)\ttest_subcolumns.tsv\t3\n"
|
|
)
|
|
|
|
res = node.query(
|
|
f"select a.b.d, _path, a.b, _file, a.e from hdfs('hdfs://hdfs1:9000/test_subcolumns.jsonl', auto, 'a Tuple(b Tuple(c UInt32, d UInt32), e UInt32)')"
|
|
)
|
|
|
|
assert (
|
|
res
|
|
== "2\thdfs://hdfs1:9000/test_subcolumns.jsonl\t(1,2)\ttest_subcolumns.jsonl\t3\n"
|
|
)
|
|
|
|
res = node.query(
|
|
f"select x.b.d, _path, x.b, _file, x.e from hdfs('hdfs://hdfs1:9000/test_subcolumns.jsonl', auto, 'x Tuple(b Tuple(c UInt32, d UInt32), e UInt32)')"
|
|
)
|
|
|
|
assert (
|
|
res
|
|
== "0\thdfs://hdfs1:9000/test_subcolumns.jsonl\t(0,0)\ttest_subcolumns.jsonl\t0\n"
|
|
)
|
|
|
|
res = node.query(
|
|
f"select x.b.d, _path, x.b, _file, x.e from hdfs('hdfs://hdfs1:9000/test_subcolumns.jsonl', auto, 'x Tuple(b Tuple(c UInt32, d UInt32), e UInt32) default ((42, 42), 42)')"
|
|
)
|
|
|
|
assert (
|
|
res
|
|
== "42\thdfs://hdfs1:9000/test_subcolumns.jsonl\t(42,42)\ttest_subcolumns.jsonl\t42\n"
|
|
)
|
|
|
|
|
|
def test_union_schema_inference_mode(started_cluster):
|
|
node = started_cluster.instances["node1"]
|
|
|
|
node.query(
|
|
"insert into function hdfs('hdfs://hdfs1:9000/test_union_schema_inference1.jsonl') select 1 as a"
|
|
)
|
|
|
|
node.query(
|
|
"insert into function hdfs('hdfs://hdfs1:9000/test_union_schema_inference2.jsonl') select 2 as b"
|
|
)
|
|
|
|
node.query("system drop schema cache for hdfs")
|
|
|
|
result = node.query(
|
|
"desc hdfs('hdfs://hdfs1:9000/test_union_schema_inference*.jsonl') settings schema_inference_mode='union', describe_compact_output=1 format TSV"
|
|
)
|
|
assert result == "a\tNullable(Int64)\nb\tNullable(Int64)\n"
|
|
|
|
result = node.query(
|
|
"select schema_inference_mode, splitByChar('/', source)[-1] as file, schema from system.schema_inference_cache where source like '%test_union_schema_inference%' order by file format TSV"
|
|
)
|
|
assert (
|
|
result == "UNION\ttest_union_schema_inference1.jsonl\ta Nullable(Int64)\n"
|
|
"UNION\ttest_union_schema_inference2.jsonl\tb Nullable(Int64)\n"
|
|
)
|
|
result = node.query(
|
|
"select * from hdfs('hdfs://hdfs1:9000/test_union_schema_inference*.jsonl') order by tuple(*) settings schema_inference_mode='union', describe_compact_output=1 format TSV"
|
|
)
|
|
assert result == "1\t\\N\n" "\\N\t2\n"
|
|
node.query(f"system drop schema cache for hdfs")
|
|
result = node.query(
|
|
"desc hdfs('hdfs://hdfs1:9000/test_union_schema_inference2.jsonl') settings schema_inference_mode='union', describe_compact_output=1 format TSV"
|
|
)
|
|
assert result == "b\tNullable(Int64)\n"
|
|
|
|
result = node.query(
|
|
"desc hdfs('hdfs://hdfs1:9000/test_union_schema_inference*.jsonl') settings schema_inference_mode='union', describe_compact_output=1 format TSV"
|
|
)
|
|
assert result == "a\tNullable(Int64)\n" "b\tNullable(Int64)\n"
|
|
node.query(
|
|
f"insert into function hdfs('hdfs://hdfs1:9000/test_union_schema_inference3.jsonl', TSV) select 'Error'"
|
|
)
|
|
|
|
error = node.query_and_get_error(
|
|
"desc hdfs('hdfs://hdfs1:9000/test_union_schema_inference*.jsonl') settings schema_inference_mode='union', describe_compact_output=1 format TSV"
|
|
)
|
|
assert "CANNOT_EXTRACT_TABLE_STRUCTURE" in error
|
|
|
|
|
|
def test_format_detection(started_cluster):
|
|
node = started_cluster.instances["node1"]
|
|
|
|
node.query(
|
|
"insert into function hdfs('hdfs://hdfs1:9000/test_format_detection0', JSONEachRow) select number as x, 'str_' || toString(number) as y from numbers(0)"
|
|
)
|
|
|
|
node.query(
|
|
"insert into function hdfs('hdfs://hdfs1:9000/test_format_detection1', JSONEachRow) select number as x, 'str_' || toString(number) as y from numbers(10)"
|
|
)
|
|
|
|
expected_desc_result = node.query(
|
|
"desc hdfs('hdfs://hdfs1:9000/test_format_detection1', JSONEachRow)"
|
|
)
|
|
|
|
desc_result = node.query("desc hdfs('hdfs://hdfs1:9000/test_format_detection1')")
|
|
|
|
assert expected_desc_result == desc_result
|
|
|
|
expected_result = node.query(
|
|
"select * from hdfs('hdfs://hdfs1:9000/test_format_detection1', JSONEachRow, 'x UInt64, y String') order by x, y"
|
|
)
|
|
|
|
result = node.query(
|
|
"select * from hdfs('hdfs://hdfs1:9000/test_format_detection1') order by x, y"
|
|
)
|
|
|
|
assert expected_result == result
|
|
|
|
result = node.query(
|
|
"select * from hdfs('hdfs://hdfs1:9000/test_format_detection1', auto, 'x UInt64, y String') order by x, y"
|
|
)
|
|
|
|
assert expected_result == result
|
|
|
|
result = node.query(
|
|
"select * from hdfs('hdfs://hdfs1:9000/test_format_detection{0,1}') order by x, y"
|
|
)
|
|
|
|
assert expected_result == result
|
|
|
|
node.query("system drop schema cache for hdfs")
|
|
|
|
result = node.query(
|
|
"select * from hdfs('hdfs://hdfs1:9000/test_format_detection{0,1}') order by x, y"
|
|
)
|
|
|
|
assert expected_result == result
|
|
|
|
result = node.query(
|
|
"select * from hdfsCluster(test_cluster_two_shards, 'hdfs://hdfs1:9000/test_format_detection{0,1}') order by x, y"
|
|
)
|
|
|
|
assert expected_result == result
|
|
|
|
result = node.query(
|
|
"select * from hdfsCluster(test_cluster_two_shards, 'hdfs://hdfs1:9000/test_format_detection{0,1}', auto, auto) order by x, y"
|
|
)
|
|
|
|
assert expected_result == result
|
|
|
|
result = node.query(
|
|
"select * from hdfsCluster(test_cluster_two_shards, 'hdfs://hdfs1:9000/test_format_detection{0,1}', auto, 'x UInt64, y String') order by x, y"
|
|
)
|
|
|
|
assert expected_result == result
|
|
|
|
|
|
def test_write_to_globbed_partitioned_path(started_cluster):
|
|
node = started_cluster.instances["node1"]
|
|
|
|
error = node.query_and_get_error(
|
|
"insert into function hdfs('hdfs://hdfs1:9000/test_data_*_{_partition_id}.csv') partition by 42 select 42"
|
|
)
|
|
|
|
assert "DATABASE_ACCESS_DENIED" in error
|
|
|
|
|
|
def test_respect_object_existence_on_partitioned_write(started_cluster):
|
|
node = started_cluster.instances["node1"]
|
|
|
|
node.query(
|
|
"insert into function hdfs('hdfs://hdfs1:9000/test_partitioned_write42.csv', CSV) select 42 settings hdfs_truncate_on_insert=1"
|
|
)
|
|
|
|
result = node.query(
|
|
f"select * from hdfs('hdfs://hdfs1:9000/test_partitioned_write42.csv', CSV)"
|
|
)
|
|
|
|
assert int(result) == 42
|
|
|
|
error = node.query_and_get_error(
|
|
f"insert into table function hdfs('hdfs://hdfs1:9000/test_partitioned_write{{_partition_id}}.csv', CSV) partition by 42 select 42 settings hdfs_truncate_on_insert=0"
|
|
)
|
|
|
|
assert "BAD_ARGUMENTS" in error
|
|
|
|
node.query(
|
|
f"insert into table function hdfs('hdfs://hdfs1:9000/test_partitioned_write{{_partition_id}}.csv', CSV) partition by 42 select 43 settings hdfs_truncate_on_insert=1"
|
|
)
|
|
|
|
result = node.query(
|
|
f"select * from hdfs('hdfs://hdfs1:9000/test_partitioned_write42.csv', CSV)"
|
|
)
|
|
|
|
assert int(result) == 43
|
|
|
|
node.query(
|
|
f"insert into table function hdfs('hdfs://hdfs1:9000/test_partitioned_write{{_partition_id}}.csv', CSV) partition by 42 select 44 settings hdfs_truncate_on_insert=0, hdfs_create_new_file_on_insert=1"
|
|
)
|
|
|
|
result = node.query(
|
|
f"select * from hdfs('hdfs://hdfs1:9000/test_partitioned_write42.1.csv', CSV)"
|
|
)
|
|
|
|
assert int(result) == 44
|
|
|
|
|
|
if __name__ == "__main__":
|
|
cluster.start()
|
|
input("Cluster created, press any key to destroy...")
|
|
cluster.shutdown()
|