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https://github.com/ClickHouse/ClickHouse.git
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823 lines
28 KiB
Python
823 lines
28 KiB
Python
import os
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import pytest
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import time
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from helpers.cluster import ClickHouseCluster
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from helpers.test_tools import TSV
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from pyhdfs import HdfsClient
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cluster = ClickHouseCluster(__file__)
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node1 = cluster.add_instance(
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"node1",
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main_configs=[
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"configs/macro.xml",
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"configs/schema_cache.xml",
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"configs/cluster.xml",
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],
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with_hdfs=True,
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)
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@pytest.fixture(scope="module")
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def started_cluster():
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try:
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cluster.start()
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yield cluster
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finally:
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cluster.shutdown()
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def test_read_write_storage(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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node1.query("drop table if exists SimpleHDFSStorage SYNC")
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node1.query(
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"create table SimpleHDFSStorage (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/simple_storage', 'TSV')"
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)
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node1.query("insert into SimpleHDFSStorage values (1, 'Mark', 72.53)")
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assert hdfs_api.read_data("/simple_storage") == "1\tMark\t72.53\n"
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assert node1.query("select * from SimpleHDFSStorage") == "1\tMark\t72.53\n"
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def test_read_write_storage_with_globs(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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node1.query(
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"create table HDFSStorageWithRange (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/storage{1..5}', 'TSV')"
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)
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node1.query(
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"create table HDFSStorageWithEnum (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/storage{1,2,3,4,5}', 'TSV')"
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)
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node1.query(
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"create table HDFSStorageWithQuestionMark (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/storage?', 'TSV')"
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)
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node1.query(
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"create table HDFSStorageWithAsterisk (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/storage*', 'TSV')"
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)
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for i in ["1", "2", "3"]:
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hdfs_api.write_data("/storage" + i, i + "\tMark\t72.53\n")
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assert hdfs_api.read_data("/storage" + i) == i + "\tMark\t72.53\n"
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assert node1.query("select count(*) from HDFSStorageWithRange") == "3\n"
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assert node1.query("select count(*) from HDFSStorageWithEnum") == "3\n"
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assert node1.query("select count(*) from HDFSStorageWithQuestionMark") == "3\n"
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assert node1.query("select count(*) from HDFSStorageWithAsterisk") == "3\n"
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try:
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node1.query("insert into HDFSStorageWithEnum values (1, 'NEW', 4.2)")
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assert False, "Exception have to be thrown"
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except Exception as ex:
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print(ex)
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assert "in readonly mode" in str(ex)
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try:
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node1.query("insert into HDFSStorageWithQuestionMark values (1, 'NEW', 4.2)")
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assert False, "Exception have to be thrown"
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except Exception as ex:
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print(ex)
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assert "in readonly mode" in str(ex)
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try:
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node1.query("insert into HDFSStorageWithAsterisk values (1, 'NEW', 4.2)")
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assert False, "Exception have to be thrown"
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except Exception as ex:
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print(ex)
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assert "in readonly mode" in str(ex)
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def test_read_write_table(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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data = "1\tSerialize\t555.222\n2\tData\t777.333\n"
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hdfs_api.write_data("/simple_table_function", data)
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assert hdfs_api.read_data("/simple_table_function") == data
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assert (
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node1.query(
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"select * from hdfs('hdfs://hdfs1:9000/simple_table_function', 'TSV', 'id UInt64, text String, number Float64')"
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)
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== data
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)
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def test_write_table(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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node1.query(
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"create table OtherHDFSStorage (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/other_storage', 'TSV')"
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)
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node1.query(
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"insert into OtherHDFSStorage values (10, 'tomas', 55.55), (11, 'jack', 32.54)"
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)
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result = "10\ttomas\t55.55\n11\tjack\t32.54\n"
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assert hdfs_api.read_data("/other_storage") == result
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assert node1.query("select * from OtherHDFSStorage order by id") == result
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def test_bad_hdfs_uri(started_cluster):
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try:
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node1.query(
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"create table BadStorage1 (id UInt32, name String, weight Float64) ENGINE = HDFS('hads:hgsdfs100500:9000/other_storage', 'TSV')"
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)
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except Exception as ex:
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print(ex)
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assert "Bad hdfs url" in str(ex)
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try:
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node1.query(
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"create table BadStorage2 (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs100500:9000/other_storage', 'TSV')"
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)
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except Exception as ex:
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print(ex)
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assert "Unable to create builder to connect to HDFS" in str(ex)
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try:
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node1.query(
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"create table BadStorage3 (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/<>', 'TSV')"
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)
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except Exception as ex:
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print(ex)
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assert "Unable to open HDFS file" in str(ex)
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@pytest.mark.timeout(800)
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def test_globs_in_read_table(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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some_data = "1\tSerialize\t555.222\n2\tData\t777.333\n"
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globs_dir = "/dir_for_test_with_globs/"
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files = [
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"dir1/dir_dir/file1",
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"dir2/file2",
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"simple_table_function",
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"dir/file",
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"some_dir/dir1/file",
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"some_dir/dir2/file",
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"some_dir/file",
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"table1_function",
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"table2_function",
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"table3_function",
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]
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for filename in files:
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hdfs_api.write_data(globs_dir + filename, some_data)
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test_requests = [
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("dir{1..5}/dir_dir/file1", 1, 1),
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("*_table_functio?", 1, 1),
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("dir/fil?", 1, 1),
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("table{3..8}_function", 1, 1),
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("table{2..8}_function", 2, 2),
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("dir/*", 1, 1),
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("dir/*?*?*?*?*", 1, 1),
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("dir/*?*?*?*?*?*", 0, 0),
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("some_dir/*/file", 2, 1),
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("some_dir/dir?/*", 2, 1),
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("*/*/*", 3, 2),
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("?", 0, 0),
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]
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for pattern, paths_amount, files_amount in test_requests:
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inside_table_func = (
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"'hdfs://hdfs1:9000"
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+ globs_dir
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+ pattern
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+ "', 'TSV', 'id UInt64, text String, number Float64'"
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)
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print("inside_table_func ", inside_table_func)
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assert (
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node1.query("select * from hdfs(" + inside_table_func + ")")
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== paths_amount * some_data
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)
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assert node1.query(
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"select count(distinct _path) from hdfs(" + inside_table_func + ")"
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).rstrip() == str(paths_amount)
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assert node1.query(
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"select count(distinct _file) from hdfs(" + inside_table_func + ")"
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).rstrip() == str(files_amount)
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def test_read_write_gzip_table(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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data = "1\tHello Jessica\t555.222\n2\tI rolled a joint\t777.333\n"
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hdfs_api.write_gzip_data("/simple_table_function.gz", data)
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assert hdfs_api.read_gzip_data("/simple_table_function.gz") == data
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assert (
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node1.query(
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"select * from hdfs('hdfs://hdfs1:9000/simple_table_function.gz', 'TSV', 'id UInt64, text String, number Float64')"
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)
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== data
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)
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def test_read_write_gzip_table_with_parameter_gzip(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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data = "1\tHello Jessica\t555.222\n2\tI rolled a joint\t777.333\n"
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hdfs_api.write_gzip_data("/simple_table_function", data)
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assert hdfs_api.read_gzip_data("/simple_table_function") == data
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assert (
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node1.query(
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"select * from hdfs('hdfs://hdfs1:9000/simple_table_function', 'TSV', 'id UInt64, text String, number Float64', 'gzip')"
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)
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== data
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)
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def test_read_write_table_with_parameter_none(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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data = "1\tHello Jessica\t555.222\n2\tI rolled a joint\t777.333\n"
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hdfs_api.write_data("/simple_table_function.gz", data)
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assert hdfs_api.read_data("/simple_table_function.gz") == data
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assert (
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node1.query(
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"select * from hdfs('hdfs://hdfs1:9000/simple_table_function.gz', 'TSV', 'id UInt64, text String, number Float64', 'none')"
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)
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== data
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)
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def test_read_write_gzip_table_with_parameter_auto_gz(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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data = "1\tHello Jessica\t555.222\n2\tI rolled a joint\t777.333\n"
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hdfs_api.write_gzip_data("/simple_table_function.gz", data)
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assert hdfs_api.read_gzip_data("/simple_table_function.gz") == data
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assert (
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node1.query(
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"select * from hdfs('hdfs://hdfs1:9000/simple_table_function.gz', 'TSV', 'id UInt64, text String, number Float64', 'auto')"
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)
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== data
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)
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def test_write_gz_storage(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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node1.query(
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"create table GZHDFSStorage (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/storage.gz', 'TSV')"
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)
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node1.query("insert into GZHDFSStorage values (1, 'Mark', 72.53)")
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assert hdfs_api.read_gzip_data("/storage.gz") == "1\tMark\t72.53\n"
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assert node1.query("select * from GZHDFSStorage") == "1\tMark\t72.53\n"
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def test_write_gzip_storage(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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node1.query(
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"create table GZIPHDFSStorage (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/gzip_storage', 'TSV', 'gzip')"
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)
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node1.query("insert into GZIPHDFSStorage values (1, 'Mark', 72.53)")
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assert hdfs_api.read_gzip_data("/gzip_storage") == "1\tMark\t72.53\n"
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assert node1.query("select * from GZIPHDFSStorage") == "1\tMark\t72.53\n"
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def test_virtual_columns(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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node1.query(
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"create table virtual_cols (id UInt32) ENGINE = HDFS('hdfs://hdfs1:9000/file*', 'TSV')"
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)
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hdfs_api.write_data("/file1", "1\n")
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hdfs_api.write_data("/file2", "2\n")
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hdfs_api.write_data("/file3", "3\n")
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expected = "1\tfile1\thdfs://hdfs1:9000//file1\n2\tfile2\thdfs://hdfs1:9000//file2\n3\tfile3\thdfs://hdfs1:9000//file3\n"
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assert (
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node1.query(
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"select id, _file as file_name, _path as file_path from virtual_cols order by id"
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)
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== expected
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)
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def test_read_files_with_spaces(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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fs = HdfsClient(hosts=started_cluster.hdfs_ip)
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dir = "/test_spaces"
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exists = fs.exists(dir)
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if exists:
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fs.delete(dir, recursive=True)
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fs.mkdirs(dir)
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hdfs_api.write_data(f"{dir}/test test test 1.txt", "1\n")
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hdfs_api.write_data(f"{dir}/test test test 2.txt", "2\n")
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hdfs_api.write_data(f"{dir}/test test test 3.txt", "3\n")
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node1.query(
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f"create table test (id UInt32) ENGINE = HDFS('hdfs://hdfs1:9000/{dir}/test*', 'TSV')"
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)
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assert node1.query("select * from test order by id") == "1\n2\n3\n"
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fs.delete(dir, recursive=True)
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def test_truncate_table(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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node1.query(
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"create table test_truncate (id UInt32, name String, weight Float64) ENGINE = HDFS('hdfs://hdfs1:9000/tr', 'TSV')"
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)
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node1.query("insert into test_truncate values (1, 'Mark', 72.53)")
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assert hdfs_api.read_data("/tr") == "1\tMark\t72.53\n"
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assert node1.query("select * from test_truncate") == "1\tMark\t72.53\n"
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node1.query("truncate table test_truncate")
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assert node1.query("select * from test_truncate") == ""
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node1.query("drop table test_truncate")
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def test_partition_by(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
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file_name = "test_{_partition_id}"
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partition_by = "column3"
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values = "(1, 2, 3), (3, 2, 1), (1, 3, 2)"
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table_function = f"hdfs('hdfs://hdfs1:9000/{file_name}', 'TSV', '{table_format}')"
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node1.query(
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f"insert into table function {table_function} PARTITION BY {partition_by} values {values}"
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)
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result = node1.query(
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f"select * from hdfs('hdfs://hdfs1:9000/test_1', 'TSV', '{table_format}')"
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)
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assert result.strip() == "3\t2\t1"
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result = node1.query(
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f"select * from hdfs('hdfs://hdfs1:9000/test_2', 'TSV', '{table_format}')"
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)
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assert result.strip() == "1\t3\t2"
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result = node1.query(
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f"select * from hdfs('hdfs://hdfs1:9000/test_3', 'TSV', '{table_format}')"
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)
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assert result.strip() == "1\t2\t3"
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file_name = "test2_{_partition_id}"
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node1.query(
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f"create table p(column1 UInt32, column2 UInt32, column3 UInt32) engine = HDFS('hdfs://hdfs1:9000/{file_name}', 'TSV') partition by column3"
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)
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node1.query(f"insert into p values {values}")
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result = node1.query(
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f"select * from hdfs('hdfs://hdfs1:9000/test2_1', 'TSV', '{table_format}')"
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)
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assert result.strip() == "3\t2\t1"
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result = node1.query(
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f"select * from hdfs('hdfs://hdfs1:9000/test2_2', 'TSV', '{table_format}')"
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)
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assert result.strip() == "1\t3\t2"
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result = node1.query(
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f"select * from hdfs('hdfs://hdfs1:9000/test2_3', 'TSV', '{table_format}')"
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)
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assert result.strip() == "1\t2\t3"
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def test_seekable_formats(started_cluster):
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hdfs_api = started_cluster.hdfs_api
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table_function = (
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f"hdfs('hdfs://hdfs1:9000/parquet', 'Parquet', 'a Int32, b String')"
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)
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node1.query(
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f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(5000000)"
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)
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result = node1.query(f"SELECT count() FROM {table_function}")
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assert int(result) == 5000000
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table_function = f"hdfs('hdfs://hdfs1:9000/orc', 'ORC', 'a Int32, b String')"
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node1.query(
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f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(5000000)"
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)
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result = node1.query(f"SELECT count() FROM {table_function}")
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assert int(result) == 5000000
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|
|
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def test_read_table_with_default(started_cluster):
|
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hdfs_api = started_cluster.hdfs_api
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data = "n\n100\n"
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hdfs_api.write_data("/simple_table_function", data)
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assert hdfs_api.read_data("/simple_table_function") == data
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output = "n\tm\n100\t200\n"
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assert (
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node1.query(
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"select * from hdfs('hdfs://hdfs1:9000/simple_table_function', 'TSVWithNames', 'n UInt32, m UInt32 DEFAULT n * 2') FORMAT TSVWithNames"
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)
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== output
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)
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|
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def test_schema_inference(started_cluster):
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node1.query(
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f"insert into table function hdfs('hdfs://hdfs1:9000/native', 'Native', 'a Int32, b String') SELECT number, randomString(100) FROM numbers(5000000)"
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)
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result = node1.query(f"desc hdfs('hdfs://hdfs1:9000/native', 'Native')")
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assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n"
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|
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result = node1.query(
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f"select count(*) from hdfs('hdfs://hdfs1:9000/native', 'Native')"
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)
|
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assert int(result) == 5000000
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|
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node1.query(
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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
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
cluster.start()
|
|
input("Cluster created, press any key to destroy...")
|
|
cluster.shutdown()
|