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b75963d370
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.
223 lines
8.5 KiB
Python
223 lines
8.5 KiB
Python
import time
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import pytest
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from helpers.cluster import ClickHouseCluster
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from helpers.network import PartitionManager
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from helpers.test_tools import TSV
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cluster = ClickHouseCluster(__file__)
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instance_test_reconnect = cluster.add_instance('instance_test_reconnect', main_configs=['configs/remote_servers.xml'])
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instance_test_inserts_batching = cluster.add_instance(
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'instance_test_inserts_batching',
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main_configs=['configs/remote_servers.xml'], user_configs=['configs/enable_distributed_inserts_batching.xml'])
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remote = cluster.add_instance('remote', main_configs=['configs/forbid_background_merges.xml'])
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instance_test_inserts_local_cluster = cluster.add_instance(
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'instance_test_inserts_local_cluster',
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main_configs=['configs/remote_servers.xml'])
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node1 = cluster.add_instance('node1', main_configs=['configs/remote_servers.xml'], with_zookeeper=True)
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node2 = cluster.add_instance('node2', main_configs=['configs/remote_servers.xml'], with_zookeeper=True)
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shard1 = cluster.add_instance('shard1', main_configs=['configs/remote_servers.xml'], with_zookeeper=True)
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shard2 = cluster.add_instance('shard2', main_configs=['configs/remote_servers.xml'], with_zookeeper=True)
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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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remote.query("CREATE TABLE local1 (x UInt32) ENGINE = Log")
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instance_test_reconnect.query('''
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CREATE TABLE distributed (x UInt32) ENGINE = Distributed('test_cluster', 'default', 'local1')
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''')
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remote.query("CREATE TABLE local2 (d Date, x UInt32, s String) ENGINE = MergeTree(d, x, 8192)")
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instance_test_inserts_batching.query('''
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CREATE TABLE distributed (d Date, x UInt32) ENGINE = Distributed('test_cluster', 'default', 'local2')
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''')
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instance_test_inserts_local_cluster.query(
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"CREATE TABLE local (d Date, x UInt32) ENGINE = MergeTree(d, x, 8192)")
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instance_test_inserts_local_cluster.query('''
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CREATE TABLE distributed_on_local (d Date, x UInt32) ENGINE = Distributed('test_local_cluster', 'default', 'local')
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''')
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node1.query('''
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CREATE TABLE replicated(date Date, id UInt32) ENGINE = ReplicatedMergeTree('/clickhouse/tables/0/replicated', 'node1', date, id, 8192)
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''')
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node2.query('''
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CREATE TABLE replicated(date Date, id UInt32) ENGINE = ReplicatedMergeTree('/clickhouse/tables/0/replicated', 'node2', date, id, 8192)
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''')
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node1.query('''
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CREATE TABLE distributed (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica', 'default', 'replicated')
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''')
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node2.query('''
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CREATE TABLE distributed (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica', 'default', 'replicated')
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''')
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shard1.query('''
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CREATE TABLE low_cardinality (d Date, x UInt32, s LowCardinality(String)) ENGINE = MergeTree(d, x, 8192)''')
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shard2.query('''
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CREATE TABLE low_cardinality (d Date, x UInt32, s LowCardinality(String)) ENGINE = MergeTree(d, x, 8192)''')
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shard1.query('''
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CREATE TABLE low_cardinality_all (d Date, x UInt32, s LowCardinality(String)) ENGINE = Distributed('shard_with_low_cardinality', 'default', 'low_cardinality', sipHash64(s))''')
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node1.query('''
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CREATE TABLE table_function (n UInt8, s String) ENGINE = MergeTree() ORDER BY n''')
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node2.query('''
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CREATE TABLE table_function (n UInt8, s String) ENGINE = MergeTree() ORDER BY n''')
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yield cluster
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finally:
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cluster.shutdown()
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def test_reconnect(started_cluster):
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instance = instance_test_reconnect
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with PartitionManager() as pm:
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# Open a connection for insertion.
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instance.query("INSERT INTO distributed VALUES (1)")
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time.sleep(1)
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assert remote.query("SELECT count(*) FROM local1").strip() == '1'
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# Now break the connection.
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pm.partition_instances(instance, remote, action='REJECT --reject-with tcp-reset')
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instance.query("INSERT INTO distributed VALUES (2)")
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time.sleep(1)
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# Heal the partition and insert more data.
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# The connection must be reestablished and after some time all data must be inserted.
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pm.heal_all()
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time.sleep(1)
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instance.query("INSERT INTO distributed VALUES (3)")
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time.sleep(1)
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assert remote.query("SELECT count(*) FROM local1").strip() == '3'
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def test_inserts_batching(started_cluster):
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instance = instance_test_inserts_batching
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with PartitionManager() as pm:
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pm.partition_instances(instance, remote)
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instance.query("INSERT INTO distributed(d, x) VALUES ('2000-01-01', 1)")
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# Sleep a bit so that this INSERT forms a batch of its own.
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time.sleep(0.1)
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instance.query("INSERT INTO distributed(x, d) VALUES (2, '2000-01-01')")
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for i in range(3, 7):
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instance.query("INSERT INTO distributed(d, x) VALUES ('2000-01-01', {})".format(i))
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for i in range(7, 9):
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instance.query("INSERT INTO distributed(x, d) VALUES ({}, '2000-01-01')".format(i))
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instance.query("INSERT INTO distributed(d, x) VALUES ('2000-01-01', 9)")
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# After ALTER the structure of the saved blocks will be different
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instance.query("ALTER TABLE distributed ADD COLUMN s String")
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for i in range(10, 13):
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instance.query("INSERT INTO distributed(d, x) VALUES ('2000-01-01', {})".format(i))
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instance.query("SYSTEM FLUSH DISTRIBUTED distributed")
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time.sleep(1.0)
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result = remote.query("SELECT _part, groupArray(x) FROM local2 GROUP BY _part ORDER BY _part")
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# Explanation: as merges are turned off on remote instance, active parts in local2 table correspond 1-to-1
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# to inserted blocks.
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# Batches of max 3 rows are formed as min_insert_block_size_rows = 3.
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# Blocks:
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# 1. Failed batch that is retried with the same contents.
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# 2. Full batch of inserts before ALTER.
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# 3. Full batch of inserts before ALTER.
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# 4. Full batch of inserts after ALTER (that have different block structure).
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# 5. What was left to insert with the column structure before ALTER.
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expected = '''\
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20000101_20000101_1_1_0\t[1]
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20000101_20000101_2_2_0\t[2,3,4]
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20000101_20000101_3_3_0\t[5,6,7]
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20000101_20000101_4_4_0\t[10,11,12]
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20000101_20000101_5_5_0\t[8,9]
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'''
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assert TSV(result) == TSV(expected)
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def test_inserts_local(started_cluster):
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instance = instance_test_inserts_local_cluster
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instance.query("INSERT INTO distributed_on_local VALUES ('2000-01-01', 1)")
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time.sleep(0.5)
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assert instance.query("SELECT count(*) FROM local").strip() == '1'
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def test_prefer_localhost_replica(started_cluster):
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test_query = "SELECT * FROM distributed ORDER BY id"
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node1.query("INSERT INTO distributed VALUES (toDate('2017-06-17'), 11)")
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node2.query("INSERT INTO distributed VALUES (toDate('2017-06-17'), 22)")
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time.sleep(1.0)
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expected_distributed = '''\
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2017-06-17\t11
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2017-06-17\t22
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'''
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expected_from_node2 = '''\
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2017-06-17\t11
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2017-06-17\t22
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2017-06-17\t44
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'''
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expected_from_node1 = '''\
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2017-06-17\t11
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2017-06-17\t22
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2017-06-17\t33
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'''
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assert TSV(node1.query(test_query)) == TSV(expected_distributed)
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assert TSV(node2.query(test_query)) == TSV(expected_distributed)
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# Make replicas inconsistent by disabling merges and fetches
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# for possibility of determining to which replica the query was send
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node1.query("SYSTEM STOP MERGES")
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node1.query("SYSTEM STOP FETCHES")
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node2.query("SYSTEM STOP MERGES")
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node2.query("SYSTEM STOP FETCHES")
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node1.query("INSERT INTO replicated VALUES (toDate('2017-06-17'), 33)")
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node2.query("INSERT INTO replicated VALUES (toDate('2017-06-17'), 44)")
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time.sleep(1.0)
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# Query is sent to node2, as it local and prefer_localhost_replica=1
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assert TSV(node2.query(test_query)) == TSV(expected_from_node2)
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# Now query is sent to node1, as it higher in order
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assert TSV(node2.query(test_query + " SETTINGS load_balancing='in_order', prefer_localhost_replica=0")) == TSV(
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expected_from_node1)
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def test_inserts_low_cardinality(started_cluster):
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instance = shard1
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instance.query("INSERT INTO low_cardinality_all (d,x,s) VALUES ('2018-11-12',1,'123')")
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time.sleep(0.5)
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assert instance.query("SELECT count(*) FROM low_cardinality_all").strip() == '1'
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def test_table_function(started_cluster):
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node1.query(
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"insert into table function cluster('shard_with_local_replica', 'default', 'table_function') select number, concat('str_', toString(number)) from numbers(100000)")
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assert node1.query(
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"select count() from cluster('shard_with_local_replica', 'default', 'table_function')").rstrip() == '100000'
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