ClickHouse/tests/integration/test_replicated_merge_tree_s3/test.py
2020-10-02 19:54:07 +03:00

106 lines
3.6 KiB
Python

import logging
import random
import string
import pytest
from helpers.cluster import ClickHouseCluster
logging.getLogger().setLevel(logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler())
@pytest.fixture(scope="module")
def cluster():
try:
cluster = ClickHouseCluster(__file__)
cluster.add_instance("node1", main_configs=["configs/config.d/storage_conf.xml"], macros={'replica': '1'},
with_minio=True, with_zookeeper=True)
cluster.add_instance("node2", main_configs=["configs/config.d/storage_conf.xml"], macros={'replica': '2'},
with_zookeeper=True)
cluster.add_instance("node3", main_configs=["configs/config.d/storage_conf.xml"], macros={'replica': '3'},
with_zookeeper=True)
logging.info("Starting cluster...")
cluster.start()
logging.info("Cluster started")
yield cluster
finally:
cluster.shutdown()
FILES_OVERHEAD = 1
FILES_OVERHEAD_PER_COLUMN = 2 # Data and mark files
FILES_OVERHEAD_PER_PART_WIDE = FILES_OVERHEAD_PER_COLUMN * 3 + 2 + 6 + 1
FILES_OVERHEAD_PER_PART_COMPACT = 10 + 1
def random_string(length):
letters = string.ascii_letters
return ''.join(random.choice(letters) for i in range(length))
def generate_values(date_str, count, sign=1):
data = [[date_str, sign * (i + 1), random_string(10)] for i in range(count)]
data.sort(key=lambda tup: tup[1])
return ",".join(["('{}',{},'{}')".format(x, y, z) for x, y, z in data])
def create_table(cluster, additional_settings=None):
create_table_statement = """
CREATE TABLE s3_test ON CLUSTER cluster(
dt Date,
id Int64,
data String,
INDEX min_max (id) TYPE minmax GRANULARITY 3
) ENGINE=ReplicatedMergeTree()
PARTITION BY dt
ORDER BY (dt, id)
SETTINGS storage_policy='s3'
"""
if additional_settings:
create_table_statement += ","
create_table_statement += additional_settings
list(cluster.instances.values())[0].query(create_table_statement)
@pytest.fixture(autouse=True)
def drop_table(cluster):
yield
for node in list(cluster.instances.values()):
node.query("DROP TABLE IF EXISTS s3_test")
minio = cluster.minio_client
# Remove extra objects to prevent tests cascade failing
for obj in list(minio.list_objects(cluster.minio_bucket, 'data/')):
minio.remove_object(cluster.minio_bucket, obj.object_name)
@pytest.mark.parametrize(
"min_rows_for_wide_part,files_per_part",
[
(0, FILES_OVERHEAD_PER_PART_WIDE),
(8192, FILES_OVERHEAD_PER_PART_COMPACT)
]
)
def test_insert_select_replicated(cluster, min_rows_for_wide_part, files_per_part):
create_table(cluster, additional_settings="min_rows_for_wide_part={}".format(min_rows_for_wide_part))
all_values = ""
for node_idx in range(1, 4):
node = cluster.instances["node" + str(node_idx)]
values = generate_values("2020-01-0" + str(node_idx), 4096)
node.query("INSERT INTO s3_test VALUES {}".format(values), settings={"insert_quorum": 3})
if node_idx != 1:
all_values += ","
all_values += values
for node_idx in range(1, 4):
node = cluster.instances["node" + str(node_idx)]
assert node.query("SELECT * FROM s3_test order by dt, id FORMAT Values",
settings={"select_sequential_consistency": 1}) == all_values
minio = cluster.minio_client
assert len(list(minio.list_objects(cluster.minio_bucket, 'data/'))) == 3 * (FILES_OVERHEAD + files_per_part * 3)