mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-14 11:33:46 +00:00
365 lines
12 KiB
Python
365 lines
12 KiB
Python
import time
|
|
|
|
import pytest
|
|
from helpers.client import QueryRuntimeException
|
|
from helpers.cluster import ClickHouseCluster
|
|
from helpers.network import PartitionManager
|
|
from helpers.test_tools import TSV
|
|
|
|
cluster = ClickHouseCluster(__file__)
|
|
|
|
instance_test_reconnect = cluster.add_instance(
|
|
"instance_test_reconnect", main_configs=["configs/remote_servers.xml"]
|
|
)
|
|
instance_test_inserts_batching = cluster.add_instance(
|
|
"instance_test_inserts_batching",
|
|
main_configs=["configs/remote_servers.xml"],
|
|
user_configs=["configs/enable_distributed_inserts_batching.xml"],
|
|
)
|
|
remote = cluster.add_instance(
|
|
"remote", main_configs=["configs/forbid_background_merges.xml"]
|
|
)
|
|
|
|
instance_test_inserts_local_cluster = cluster.add_instance(
|
|
"instance_test_inserts_local_cluster", main_configs=["configs/remote_servers.xml"]
|
|
)
|
|
|
|
node1 = cluster.add_instance(
|
|
"node1", main_configs=["configs/remote_servers.xml"], with_zookeeper=True
|
|
)
|
|
node2 = cluster.add_instance(
|
|
"node2", main_configs=["configs/remote_servers.xml"], with_zookeeper=True
|
|
)
|
|
|
|
shard1 = cluster.add_instance(
|
|
"shard1", main_configs=["configs/remote_servers.xml"], with_zookeeper=True
|
|
)
|
|
shard2 = cluster.add_instance(
|
|
"shard2", main_configs=["configs/remote_servers.xml"], with_zookeeper=True
|
|
)
|
|
|
|
|
|
@pytest.fixture(scope="module")
|
|
def started_cluster():
|
|
try:
|
|
cluster.start()
|
|
|
|
remote.query("CREATE TABLE local1 (x UInt32) ENGINE = Log")
|
|
instance_test_reconnect.query(
|
|
"""
|
|
CREATE TABLE distributed (x UInt32) ENGINE = Distributed('test_cluster', 'default', 'local1')
|
|
"""
|
|
)
|
|
|
|
remote.query(
|
|
"CREATE TABLE local2 (d Date, x UInt32, s String) ENGINE = MergeTree(d, x, 8192)"
|
|
)
|
|
instance_test_inserts_batching.query(
|
|
"""
|
|
CREATE TABLE distributed (d Date, x UInt32) ENGINE = Distributed('test_cluster', 'default', 'local2') SETTINGS fsync_after_insert=1, fsync_directories=1
|
|
"""
|
|
)
|
|
|
|
instance_test_inserts_local_cluster.query(
|
|
"CREATE TABLE local (d Date, x UInt32) ENGINE = MergeTree(d, x, 8192)"
|
|
)
|
|
instance_test_inserts_local_cluster.query(
|
|
"""
|
|
CREATE TABLE distributed_on_local (d Date, x UInt32) ENGINE = Distributed('test_local_cluster', 'default', 'local')
|
|
"""
|
|
)
|
|
|
|
node1.query(
|
|
"""
|
|
CREATE TABLE replicated(date Date, id UInt32) ENGINE = ReplicatedMergeTree('/clickhouse/tables/0/replicated', 'node1', date, id, 8192)
|
|
"""
|
|
)
|
|
node2.query(
|
|
"""
|
|
CREATE TABLE replicated(date Date, id UInt32) ENGINE = ReplicatedMergeTree('/clickhouse/tables/0/replicated', 'node2', date, id, 8192)
|
|
"""
|
|
)
|
|
|
|
node1.query(
|
|
"""
|
|
CREATE TABLE distributed (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica', 'default', 'replicated')
|
|
"""
|
|
)
|
|
|
|
node2.query(
|
|
"""
|
|
CREATE TABLE distributed (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica', 'default', 'replicated')
|
|
"""
|
|
)
|
|
|
|
shard1.query(
|
|
"""
|
|
CREATE TABLE low_cardinality (d Date, x UInt32, s LowCardinality(String)) ENGINE = MergeTree(d, x, 8192)"""
|
|
)
|
|
|
|
shard2.query(
|
|
"""
|
|
CREATE TABLE low_cardinality (d Date, x UInt32, s LowCardinality(String)) ENGINE = MergeTree(d, x, 8192)"""
|
|
)
|
|
|
|
shard1.query(
|
|
"""
|
|
CREATE TABLE low_cardinality_all (d Date, x UInt32, s LowCardinality(String)) ENGINE = Distributed('shard_with_low_cardinality', 'default', 'low_cardinality', sipHash64(s))"""
|
|
)
|
|
|
|
node1.query(
|
|
"""
|
|
CREATE TABLE table_function (n UInt8, s String) ENGINE = MergeTree() ORDER BY n"""
|
|
)
|
|
|
|
node2.query(
|
|
"""
|
|
CREATE TABLE table_function (n UInt8, s String) ENGINE = MergeTree() ORDER BY n"""
|
|
)
|
|
|
|
node1.query(
|
|
"""
|
|
CREATE TABLE distributed_one_replica_internal_replication (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica_internal_replication', 'default', 'single_replicated')
|
|
"""
|
|
)
|
|
|
|
node2.query(
|
|
"""
|
|
CREATE TABLE distributed_one_replica_internal_replication (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica_internal_replication', 'default', 'single_replicated')
|
|
"""
|
|
)
|
|
|
|
node1.query(
|
|
"""
|
|
CREATE TABLE distributed_one_replica_no_internal_replication (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica', 'default', 'single_replicated')
|
|
"""
|
|
)
|
|
|
|
node2.query(
|
|
"""
|
|
CREATE TABLE distributed_one_replica_no_internal_replication (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica', 'default', 'single_replicated')
|
|
"""
|
|
)
|
|
|
|
node2.query(
|
|
"""
|
|
CREATE TABLE single_replicated(date Date, id UInt32) ENGINE = ReplicatedMergeTree('/clickhouse/tables/0/single_replicated', 'node2', date, id, 8192)
|
|
"""
|
|
)
|
|
|
|
yield cluster
|
|
|
|
finally:
|
|
cluster.shutdown()
|
|
|
|
|
|
def test_reconnect(started_cluster):
|
|
instance = instance_test_reconnect
|
|
|
|
with PartitionManager() as pm:
|
|
# Open a connection for insertion.
|
|
instance.query("INSERT INTO distributed VALUES (1)")
|
|
time.sleep(1)
|
|
assert remote.query("SELECT count(*) FROM local1").strip() == "1"
|
|
|
|
# Now break the connection.
|
|
pm.partition_instances(
|
|
instance, remote, action="REJECT --reject-with tcp-reset"
|
|
)
|
|
instance.query("INSERT INTO distributed VALUES (2)")
|
|
time.sleep(1)
|
|
|
|
# Heal the partition and insert more data.
|
|
# The connection must be reestablished and after some time all data must be inserted.
|
|
pm.heal_all()
|
|
time.sleep(1)
|
|
instance.query("INSERT INTO distributed VALUES (3)")
|
|
time.sleep(5)
|
|
|
|
assert remote.query("SELECT count(*) FROM local1").strip() == "3"
|
|
|
|
|
|
def test_inserts_batching(started_cluster):
|
|
instance = instance_test_inserts_batching
|
|
|
|
with PartitionManager() as pm:
|
|
pm.partition_instances(instance, remote)
|
|
|
|
instance.query("INSERT INTO distributed(d, x) VALUES ('2000-01-01', 1)")
|
|
# Sleep a bit so that this INSERT forms a batch of its own.
|
|
time.sleep(0.1)
|
|
|
|
instance.query("INSERT INTO distributed(x, d) VALUES (2, '2000-01-01')")
|
|
|
|
for i in range(3, 7):
|
|
instance.query(
|
|
"INSERT INTO distributed(d, x) VALUES ('2000-01-01', {})".format(i)
|
|
)
|
|
|
|
for i in range(7, 9):
|
|
instance.query(
|
|
"INSERT INTO distributed(x, d) VALUES ({}, '2000-01-01')".format(i)
|
|
)
|
|
|
|
instance.query("INSERT INTO distributed(d, x) VALUES ('2000-01-01', 9)")
|
|
|
|
# After ALTER the structure of the saved blocks will be different
|
|
instance.query("ALTER TABLE distributed ADD COLUMN s String")
|
|
|
|
for i in range(10, 13):
|
|
instance.query(
|
|
"INSERT INTO distributed(d, x) VALUES ('2000-01-01', {})".format(i)
|
|
)
|
|
|
|
instance.query("SYSTEM FLUSH DISTRIBUTED distributed")
|
|
time.sleep(1.0)
|
|
|
|
result = remote.query(
|
|
"SELECT _part, groupArray(x) FROM local2 GROUP BY _part ORDER BY _part"
|
|
)
|
|
|
|
# Explanation: as merges are turned off on remote instance, active parts in local2 table correspond 1-to-1
|
|
# to inserted blocks.
|
|
# Batches of max 3 rows are formed as min_insert_block_size_rows = 3.
|
|
# Blocks:
|
|
# 1. Failed batch that is retried with the same contents.
|
|
# 2. Full batch of inserts before ALTER.
|
|
# 3. Full batch of inserts before ALTER.
|
|
# 4. Full batch of inserts after ALTER (that have different block structure).
|
|
# 5. What was left to insert with the column structure before ALTER.
|
|
expected = """\
|
|
20000101_20000101_1_1_0\t[1]
|
|
20000101_20000101_2_2_0\t[2,3,4]
|
|
20000101_20000101_3_3_0\t[5,6,7]
|
|
20000101_20000101_4_4_0\t[10,11,12]
|
|
20000101_20000101_5_5_0\t[8,9]
|
|
"""
|
|
assert TSV(result) == TSV(expected)
|
|
|
|
|
|
def test_inserts_local(started_cluster):
|
|
instance = instance_test_inserts_local_cluster
|
|
instance.query("INSERT INTO distributed_on_local VALUES ('2000-01-01', 1)")
|
|
time.sleep(0.5)
|
|
assert instance.query("SELECT count(*) FROM local").strip() == "1"
|
|
|
|
|
|
def test_inserts_single_replica_local_internal_replication(started_cluster):
|
|
with pytest.raises(
|
|
QueryRuntimeException, match="Table default.single_replicated doesn't exist"
|
|
):
|
|
node1.query(
|
|
"INSERT INTO distributed_one_replica_internal_replication VALUES ('2000-01-01', 1)",
|
|
settings={
|
|
"insert_distributed_sync": "1",
|
|
"prefer_localhost_replica": "1",
|
|
# to make the test more deterministic
|
|
"load_balancing": "first_or_random",
|
|
},
|
|
)
|
|
assert node2.query("SELECT count(*) FROM single_replicated").strip() == "0"
|
|
|
|
|
|
def test_inserts_single_replica_internal_replication(started_cluster):
|
|
try:
|
|
node1.query(
|
|
"INSERT INTO distributed_one_replica_internal_replication VALUES ('2000-01-01', 1)",
|
|
settings={
|
|
"insert_distributed_sync": "1",
|
|
"prefer_localhost_replica": "0",
|
|
# to make the test more deterministic
|
|
"load_balancing": "first_or_random",
|
|
},
|
|
)
|
|
assert node2.query("SELECT count(*) FROM single_replicated").strip() == "1"
|
|
finally:
|
|
node2.query("TRUNCATE TABLE single_replicated")
|
|
|
|
|
|
def test_inserts_single_replica_no_internal_replication(started_cluster):
|
|
try:
|
|
with pytest.raises(
|
|
QueryRuntimeException, match="Table default.single_replicated doesn't exist"
|
|
):
|
|
node1.query(
|
|
"INSERT INTO distributed_one_replica_no_internal_replication VALUES ('2000-01-01', 1)",
|
|
settings={
|
|
"insert_distributed_sync": "1",
|
|
"prefer_localhost_replica": "0",
|
|
},
|
|
)
|
|
assert node2.query("SELECT count(*) FROM single_replicated").strip() == "1"
|
|
finally:
|
|
node2.query("TRUNCATE TABLE single_replicated")
|
|
|
|
|
|
def test_prefer_localhost_replica(started_cluster):
|
|
test_query = "SELECT * FROM distributed ORDER BY id"
|
|
|
|
node1.query("INSERT INTO distributed VALUES (toDate('2017-06-17'), 11)")
|
|
node2.query("INSERT INTO distributed VALUES (toDate('2017-06-17'), 22)")
|
|
time.sleep(1.0)
|
|
|
|
expected_distributed = """\
|
|
2017-06-17\t11
|
|
2017-06-17\t22
|
|
"""
|
|
|
|
expected_from_node2 = """\
|
|
2017-06-17\t11
|
|
2017-06-17\t22
|
|
2017-06-17\t44
|
|
"""
|
|
|
|
expected_from_node1 = """\
|
|
2017-06-17\t11
|
|
2017-06-17\t22
|
|
2017-06-17\t33
|
|
"""
|
|
|
|
assert TSV(node1.query(test_query)) == TSV(expected_distributed)
|
|
assert TSV(node2.query(test_query)) == TSV(expected_distributed)
|
|
|
|
# Make replicas inconsistent by disabling merges and fetches
|
|
# for possibility of determining to which replica the query was send
|
|
node1.query("SYSTEM STOP MERGES")
|
|
node1.query("SYSTEM STOP FETCHES")
|
|
node2.query("SYSTEM STOP MERGES")
|
|
node2.query("SYSTEM STOP FETCHES")
|
|
|
|
node1.query("INSERT INTO replicated VALUES (toDate('2017-06-17'), 33)")
|
|
node2.query("INSERT INTO replicated VALUES (toDate('2017-06-17'), 44)")
|
|
time.sleep(1.0)
|
|
|
|
# Query is sent to node2, as it local and prefer_localhost_replica=1
|
|
assert TSV(node2.query(test_query)) == TSV(expected_from_node2)
|
|
|
|
# Now query is sent to node1, as it higher in order
|
|
assert TSV(
|
|
node2.query(
|
|
test_query
|
|
+ " SETTINGS load_balancing='in_order', prefer_localhost_replica=0"
|
|
)
|
|
) == TSV(expected_from_node1)
|
|
|
|
|
|
def test_inserts_low_cardinality(started_cluster):
|
|
instance = shard1
|
|
instance.query(
|
|
"INSERT INTO low_cardinality_all (d,x,s) VALUES ('2018-11-12',1,'123')"
|
|
)
|
|
time.sleep(0.5)
|
|
assert instance.query("SELECT count(*) FROM low_cardinality_all").strip() == "1"
|
|
|
|
|
|
def test_table_function(started_cluster):
|
|
node1.query(
|
|
"insert into table function cluster('shard_with_local_replica', 'default', 'table_function') select number, concat('str_', toString(number)) from numbers(100000)"
|
|
)
|
|
assert (
|
|
node1.query(
|
|
"select count() from cluster('shard_with_local_replica', 'default', 'table_function')"
|
|
).rstrip()
|
|
== "100000"
|
|
)
|