ClickHouse/tests/integration/test_alter_moving_garbage/test.py
2023-06-08 10:29:01 +00:00

156 lines
4.9 KiB
Python

import logging
import time
import pytest
import threading
import random
from helpers.client import QueryRuntimeException
from helpers.cluster import ClickHouseCluster
# two replicas in remote_servers.xml
REPLICA_COUNT = 2
@pytest.fixture(scope="module")
def cluster():
try:
cluster = ClickHouseCluster(__file__)
for i in range(1, REPLICA_COUNT + 1):
cluster.add_instance(
f"node{i}",
main_configs=[
"configs/config.d/storage_conf.xml",
"configs/config.d/remote_servers.xml",
],
with_minio=True,
with_zookeeper=True,
)
logging.info("Starting cluster...")
cluster.start()
logging.info("Cluster started")
yield cluster
finally:
cluster.shutdown()
def create_table(node, table_name, replicated, additional_settings):
settings = {
"storage_policy": "two_disks",
"old_parts_lifetime": 1,
"index_granularity": 512,
"temporary_directories_lifetime": 0,
"merge_tree_clear_old_temporary_directories_interval_seconds": 1,
}
settings.update(additional_settings)
table_engine = (
f"ReplicatedMergeTree('/clickhouse/tables/0/{table_name}', '{node.name}')"
if replicated
else "MergeTree()"
)
create_table_statement = f"""
CREATE TABLE {table_name} (
dt Date,
id Int64,
data String,
INDEX min_max (id) TYPE minmax GRANULARITY 3
) ENGINE = {table_engine}
PARTITION BY dt
ORDER BY (dt, id)
SETTINGS {",".join((k+"="+repr(v) for k, v in settings.items()))}"""
if replicated:
node.query_with_retry(create_table_statement)
else:
node.query(create_table_statement)
@pytest.mark.parametrize(
"allow_remote_fs_zero_copy_replication,replicated_engine",
[(False, False), (False, True), (True, True)],
)
def test_create_table(
cluster, allow_remote_fs_zero_copy_replication, replicated_engine
):
if replicated_engine:
nodes = list(cluster.instances.values())
else:
nodes = [cluster.instances["node1"]]
additional_settings = {}
# Different names for logs readability
table_name = "test_table"
if allow_remote_fs_zero_copy_replication:
table_name = "test_table_zero_copy"
additional_settings["allow_remote_fs_zero_copy_replication"] = 1
if replicated_engine:
table_name = table_name + "_replicated"
for node in nodes:
create_table(node, table_name, replicated_engine, additional_settings)
for i in range(1, 11):
partition = f"2021-01-{i:02d}"
random.choice(nodes).query(
f"INSERT INTO {table_name} SELECT toDate('{partition}'), number as id, toString(sipHash64(number, {i})) FROM numbers(10_000)"
)
# Run ALTER in parallel with moving parts
stop_alter = False
def alter():
random.choice(nodes).query(f"ALTER TABLE {table_name} ADD COLUMN col0 String")
for d in range(1, 100):
if stop_alter:
break
# Some lightweight mutation should change moving part before it is swapped, then we will have to cleanup it.
# Messages `Failed to swap {}. Active part doesn't exist` should appear in logs.
#
# I managed to reproduce issue with DELETE (`ALTER TABLE {table_name} ADD/DROP COLUMN` also works on real s3 instead of minio)
# Note: do not delete rows with id % 100 = 0, because they are used in `check_count` to use them in check that data is not corrupted
random.choice(nodes).query(f"DELETE FROM {table_name} WHERE id % 100 = {d}")
time.sleep(0.1)
alter_thread = threading.Thread(target=alter)
alter_thread.start()
for i in range(1, 11):
partition = f"2021-01-{i:02d}"
try:
random.choice(nodes).query(
f"ALTER TABLE {table_name} MOVE PARTITION '{partition}' TO DISK 's3'",
)
except QueryRuntimeException as e:
if "PART_IS_TEMPORARILY_LOCKED" in str(e):
continue
raise e
# Function to clear old temporary directories wakes up every 1 second, sleep to make sure it is called
time.sleep(0.5)
stop_alter = True
alter_thread.join()
# Check that no data was lost
data_digest = None
if replicated_engine:
# We don't know what data was replicated, so we need to check all replicas and take unique values
data_digest = random.choice(nodes).query_with_retry(
f"SELECT countDistinct(dt, data) FROM clusterAllReplicas(test_cluster, default.{table_name}) WHERE id % 100 == 0"
)
else:
data_digest = random.choice(nodes).query(
f"SELECT countDistinct(dt, data) FROM {table_name} WHERE id % 100 == 0"
)
assert data_digest == "1000\n"