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https://github.com/ClickHouse/ClickHouse.git
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188 lines
6.0 KiB
Python
188 lines
6.0 KiB
Python
import os
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import sys
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import time
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import pytest
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from helpers.cluster import ClickHouseCluster
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from helpers.network import PartitionManager
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cluster = ClickHouseCluster(__file__)
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# Cluster with 2 shards of 2 replicas each. node_1_1 is the instance with Distributed table.
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# Thus we have a shard with a local replica and a shard with remote replicas.
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node_1_1 = instance_with_dist_table = cluster.add_instance(
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"node_1_1", with_zookeeper=True, main_configs=["configs/remote_servers.xml"]
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)
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node_1_2 = cluster.add_instance("node_1_2", with_zookeeper=True)
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node_2_1 = cluster.add_instance("node_2_1", with_zookeeper=True)
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node_2_2 = cluster.add_instance("node_2_2", with_zookeeper=True)
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# For test to be runnable multiple times
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seqno = 0
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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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@pytest.fixture(scope="function", autouse=True)
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def create_tables():
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global seqno
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try:
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seqno += 1
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for shard in (1, 2):
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for replica in (1, 2):
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node = cluster.instances["node_{}_{}".format(shard, replica)]
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node.query(
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f"CREATE TABLE replicated (d Date, x UInt32) ENGINE = "
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f"ReplicatedMergeTree('/clickhouse/tables/{shard}/replicated_{seqno}', '{node.name}') PARTITION BY toYYYYMM(d) ORDER BY d"
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)
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node_1_1.query(
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"CREATE TABLE distributed (d Date, x UInt32) ENGINE = "
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"Distributed('test_cluster', 'default', 'replicated')"
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)
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yield
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finally:
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node_1_1.query("DROP TABLE distributed")
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node_1_1.query("DROP TABLE replicated")
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node_1_2.query("DROP TABLE replicated")
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node_2_1.query("DROP TABLE replicated")
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node_2_2.query("DROP TABLE replicated")
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def test(started_cluster):
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instance_with_dist_table.query(
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"SYSTEM DISABLE FAILPOINT replicated_merge_tree_all_replicas_stale"
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)
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with PartitionManager() as pm:
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# Hinder replication between replicas of the same shard, but leave the possibility of distributed connection.
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pm.partition_instances(node_1_1, node_1_2, port=9009)
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pm.partition_instances(node_2_1, node_2_2, port=9009)
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node_1_2.query("INSERT INTO replicated VALUES ('2017-05-08', 1)")
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node_2_2.query("INSERT INTO replicated VALUES ('2017-05-08', 2)")
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time.sleep(1) # accrue replica delay
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assert node_1_1.query("SELECT sum(x) FROM replicated").strip() == "0"
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assert node_1_2.query("SELECT sum(x) FROM replicated").strip() == "1"
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assert node_2_1.query("SELECT sum(x) FROM replicated").strip() == "0"
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assert node_2_2.query("SELECT sum(x) FROM replicated").strip() == "2"
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# With in_order balancing first replicas are chosen.
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assert (
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instance_with_dist_table.query(
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"SELECT count() FROM distributed SETTINGS load_balancing='in_order'"
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).strip()
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== "0"
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)
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# When we set max_replica_delay, first replicas must be excluded.
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assert (
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instance_with_dist_table.query(
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"""
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SELECT sum(x) FROM distributed SETTINGS
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load_balancing='in_order',
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max_replica_delay_for_distributed_queries=1
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"""
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).strip()
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== "3"
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)
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assert (
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instance_with_dist_table.query(
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"""
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SELECT sum(x) FROM distributed WITH TOTALS SETTINGS
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load_balancing='in_order',
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max_replica_delay_for_distributed_queries=1
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"""
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).strip()
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== "3\n\n3"
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)
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pm.drop_instance_zk_connections(node_1_2)
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pm.drop_instance_zk_connections(node_2_2)
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# allow pings to zookeeper to timeout (must be greater than ZK session timeout).
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for _ in range(30):
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try:
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node_2_2.query(
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"SELECT * FROM system.zookeeper where path = '/' SETTINGS insert_keeper_max_retries = 0"
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)
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time.sleep(0.5)
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except:
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break
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else:
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raise Exception("Connection with zookeeper was not lost")
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instance_with_dist_table.query(
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"SYSTEM ENABLE FAILPOINT replicated_merge_tree_all_replicas_stale"
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)
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# At this point all replicas are stale, but the query must still go to second replicas which are the least stale ones.
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assert (
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instance_with_dist_table.query(
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"""
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SELECT sum(x) FROM distributed SETTINGS
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load_balancing='in_order',
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max_replica_delay_for_distributed_queries=1
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"""
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).strip()
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== "3"
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)
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# Prefer fallback_to_stale_replicas over skip_unavailable_shards
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assert (
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instance_with_dist_table.query(
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"""
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SELECT sum(x) FROM distributed SETTINGS
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load_balancing='in_order',
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skip_unavailable_shards=1,
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max_replica_delay_for_distributed_queries=1
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"""
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).strip()
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== "3"
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)
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# If we forbid stale replicas, the query must fail. But sometimes we must have bigger timeouts.
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for _ in range(20):
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try:
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instance_with_dist_table.query(
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"""
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SELECT count() FROM distributed SETTINGS
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load_balancing='in_order',
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max_replica_delay_for_distributed_queries=1,
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fallback_to_stale_replicas_for_distributed_queries=0
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"""
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)
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time.sleep(0.5)
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except:
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break
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else:
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raise Exception("Didn't raise when stale replicas are not allowed")
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# Now partition off the remote replica of the local shard and test that failover still works.
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pm.partition_instances(node_1_1, node_1_2, port=9000)
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assert (
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instance_with_dist_table.query(
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"""
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SELECT sum(x) FROM distributed SETTINGS
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load_balancing='in_order',
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max_replica_delay_for_distributed_queries=1
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"""
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).strip()
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== "2"
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)
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