ClickHouse/tests/integration/test_delayed_replica_failover/test.py
bharatnc b75963d370 Format and optimize imports in integration test files
This PR formats all the `*.py` files found under the `tests/integration`
folder. It also reorders the imports and cleans up a bunch of unused
imports.

The formatting also takes care of other things like wrapping lines and
fixing spaces and indents such that the tests look more readable.
2020-09-15 23:10:54 -07:00

116 lines
4.4 KiB
Python

import os
import sys
import time
import pytest
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from helpers.cluster import ClickHouseCluster
from helpers.network import PartitionManager
cluster = ClickHouseCluster(__file__)
# Cluster with 2 shards of 2 replicas each. node_1_1 is the instance with Distributed table.
# Thus we have a shard with a local replica and a shard with remote replicas.
node_1_1 = instance_with_dist_table = cluster.add_instance(
'node_1_1', with_zookeeper=True, main_configs=['configs/remote_servers.xml'])
node_1_2 = cluster.add_instance('node_1_2', with_zookeeper=True)
node_2_1 = cluster.add_instance('node_2_1', with_zookeeper=True)
node_2_2 = cluster.add_instance('node_2_2', with_zookeeper=True)
@pytest.fixture(scope="module")
def started_cluster():
try:
cluster.start()
for shard in (1, 2):
for replica in (1, 2):
node = cluster.instances['node_{}_{}'.format(shard, replica)]
node.query('''
CREATE TABLE replicated (d Date, x UInt32) ENGINE =
ReplicatedMergeTree('/clickhouse/tables/{shard}/replicated', '{instance}', d, d, 8192)'''
.format(shard=shard, instance=node.name))
node_1_1.query(
"CREATE TABLE distributed (d Date, x UInt32) ENGINE = "
"Distributed('test_cluster', 'default', 'replicated')")
yield cluster
finally:
cluster.shutdown()
def test(started_cluster):
with PartitionManager() as pm:
# Hinder replication between replicas of the same shard, but leave the possibility of distributed connection.
pm.partition_instances(node_1_1, node_1_2, port=9009)
pm.partition_instances(node_2_1, node_2_2, port=9009)
node_1_2.query("INSERT INTO replicated VALUES ('2017-05-08', 1)")
node_2_2.query("INSERT INTO replicated VALUES ('2017-05-08', 2)")
time.sleep(1) # accrue replica delay
assert node_1_1.query("SELECT sum(x) FROM replicated").strip() == '0'
assert node_1_2.query("SELECT sum(x) FROM replicated").strip() == '1'
assert node_2_1.query("SELECT sum(x) FROM replicated").strip() == '0'
assert node_2_2.query("SELECT sum(x) FROM replicated").strip() == '2'
# With in_order balancing first replicas are chosen.
assert instance_with_dist_table.query(
"SELECT count() FROM distributed SETTINGS load_balancing='in_order'").strip() == '0'
# When we set max_replica_delay, first replicas must be excluded.
assert instance_with_dist_table.query('''
SELECT sum(x) FROM distributed SETTINGS
load_balancing='in_order',
max_replica_delay_for_distributed_queries=1
''').strip() == '3'
assert instance_with_dist_table.query('''
SELECT sum(x) FROM distributed WITH TOTALS SETTINGS
load_balancing='in_order',
max_replica_delay_for_distributed_queries=1
''').strip() == '3\n\n3'
pm.drop_instance_zk_connections(node_1_2)
pm.drop_instance_zk_connections(node_2_2)
time.sleep(4) # allow pings to zookeeper to timeout (must be greater than ZK session timeout).
# At this point all replicas are stale, but the query must still go to second replicas which are the least stale ones.
assert instance_with_dist_table.query('''
SELECT sum(x) FROM distributed SETTINGS
load_balancing='in_order',
max_replica_delay_for_distributed_queries=1
''').strip() == '3'
# Regression for skip_unavailable_shards in conjunction with skip_unavailable_shards
assert instance_with_dist_table.query('''
SELECT sum(x) FROM distributed SETTINGS
load_balancing='in_order',
skip_unavailable_shards=1,
max_replica_delay_for_distributed_queries=1
''').strip() == '3'
# If we forbid stale replicas, the query must fail.
with pytest.raises(Exception):
print instance_with_dist_table.query('''
SELECT count() FROM distributed SETTINGS
load_balancing='in_order',
max_replica_delay_for_distributed_queries=1,
fallback_to_stale_replicas_for_distributed_queries=0
''')
# Now partition off the remote replica of the local shard and test that failover still works.
pm.partition_instances(node_1_1, node_1_2, port=9000)
assert instance_with_dist_table.query('''
SELECT sum(x) FROM distributed SETTINGS
load_balancing='in_order',
max_replica_delay_for_distributed_queries=1
''').strip() == '2'