mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-28 02:21:59 +00:00
125 lines
4.6 KiB
Python
125 lines
4.6 KiB
Python
import pytest
|
|
import time
|
|
|
|
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', user_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'])
|
|
|
|
|
|
@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')
|
|
''')
|
|
|
|
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')
|
|
''')
|
|
|
|
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(0.5)
|
|
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(0.5)
|
|
|
|
# Heal the partition and insert more data.
|
|
# The connection must be reestablished and after some time all data must be inserted.
|
|
pm.heal_all()
|
|
instance.query("INSERT INTO distributed VALUES (3)")
|
|
time.sleep(0.5)
|
|
|
|
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))
|
|
|
|
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 with (d, x) order of columns.
|
|
# 3. Full batch of inserts with (x, d) order of columns.
|
|
# 4. Full batch of inserts after ALTER (that have different block structure).
|
|
# 5. What was left to insert with (d, x) order before ALTER.
|
|
expected = '''\
|
|
20000101_20000101_1_1_0 [1]
|
|
20000101_20000101_2_2_0 [3,4,5]
|
|
20000101_20000101_3_3_0 [2,7,8]
|
|
20000101_20000101_4_4_0 [10,11,12]
|
|
20000101_20000101_5_5_0 [6,9]
|
|
'''
|
|
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'
|