ClickHouse/dbms/tests/integration/test_random_inserts/test.py

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import time
import os
from contextlib import contextmanager
import pytest
from helpers.cluster import ClickHouseCluster
from helpers.network import PartitionManager
from helpers.test_tools import TSV
from helpers.client import CommandRequest
cluster = ClickHouseCluster(__file__)
node1 = cluster.add_instance('node1', config_dir='configs', with_zookeeper=True, macroses={"layer": 0, "shard": 0, "replica": 1})
node2 = cluster.add_instance('node2', config_dir='configs', with_zookeeper=True, macroses={"layer": 0, "shard": 0, "replica": 2})
nodes = [node1, node2]
@pytest.fixture(scope="module")
def started_cluster():
try:
cluster.start()
yield cluster
finally:
pass
cluster.shutdown()
def test_random_inserts(started_cluster):
# Duration of the test, reduce it if don't want to wait
DURATION_SECONDS = 10# * 60
node1.query("""
CREATE TABLE simple ON CLUSTER test_cluster (date Date, i UInt32, s String)
ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/simple', '{replica}', date, i, 8192)""")
with PartitionManager() as pm_random_drops:
for sacrifice in nodes:
pass # This test doesn't work with partition problems still
#pm_random_drops._add_rule({'probability': 0.01, 'destination': sacrifice.ip_address, 'source_port': 2181, 'action': 'REJECT --reject-with tcp-reset'})
#pm_random_drops._add_rule({'probability': 0.01, 'source': sacrifice.ip_address, 'destination_port': 2181, 'action': 'REJECT --reject-with tcp-reset'})
min_timestamp = int(time.time())
max_timestamp = min_timestamp + DURATION_SECONDS
num_timestamps = max_timestamp - min_timestamp + 1
bash_script = os.path.join(os.path.dirname(__file__), "test.sh")
inserters = []
for node in nodes:
cmd = ['/bin/bash', bash_script, node.ip_address, str(min_timestamp), str(max_timestamp)]
inserters.append(CommandRequest(cmd, timeout=DURATION_SECONDS * 2, stdin=''))
print node.name, node.ip_address
for inserter in inserters:
inserter.get_answer()
answer="{}\t{}\t{}\t{}\n".format(num_timestamps, num_timestamps, min_timestamp, max_timestamp)
for node in nodes:
res = node.query("SELECT count(), uniqExact(i), min(i), max(i) FROM simple")
assert TSV(res) == TSV(answer), node.name + " : " + node.query("SELECT groupArray(_part), i, count() AS c FROM simple GROUP BY i ORDER BY c DESC LIMIT 1")
node1.query("""DROP TABLE simple ON CLUSTER test_cluster""")