mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-14 19:45:11 +00:00
365 lines
12 KiB
Python
365 lines
12 KiB
Python
import time
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import pytest
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from helpers.client import QueryRuntimeException
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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(
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"instance_test_reconnect", main_configs=["configs/remote_servers.xml"]
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)
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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"],
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user_configs=["configs/enable_distributed_inserts_batching.xml"],
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)
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remote = cluster.add_instance(
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"remote", main_configs=["configs/forbid_background_merges.xml"]
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)
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instance_test_inserts_local_cluster = cluster.add_instance(
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"instance_test_inserts_local_cluster", main_configs=["configs/remote_servers.xml"]
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)
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node1 = cluster.add_instance(
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"node1", main_configs=["configs/remote_servers.xml"], with_zookeeper=True
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)
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node2 = cluster.add_instance(
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"node2", main_configs=["configs/remote_servers.xml"], with_zookeeper=True
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)
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shard1 = cluster.add_instance(
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"shard1", main_configs=["configs/remote_servers.xml"], with_zookeeper=True
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)
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shard2 = cluster.add_instance(
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"shard2", main_configs=["configs/remote_servers.xml"], with_zookeeper=True
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)
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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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"""
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CREATE TABLE distributed (x UInt32) ENGINE = Distributed('test_cluster', 'default', 'local1')
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"""
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)
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remote.query(
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"CREATE TABLE local2 (d Date, x UInt32, s String) ENGINE = MergeTree PARTITION BY toYYYYMM(d) ORDER BY x"
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)
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instance_test_inserts_batching.query(
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"""
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CREATE TABLE distributed (d Date, x UInt32) ENGINE = Distributed('test_cluster', 'default', 'local2') SETTINGS fsync_after_insert=1, fsync_directories=1
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"""
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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 PARTITION BY toYYYYMM(d) ORDER BY x"
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)
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instance_test_inserts_local_cluster.query(
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"""
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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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)
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node1.query(
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"""
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CREATE TABLE replicated(date Date, id UInt32) ENGINE = ReplicatedMergeTree('/clickhouse/tables/0/replicated', 'node1') PARTITION BY toYYYYMM(date) ORDER BY id
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"""
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)
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node2.query(
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"""
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CREATE TABLE replicated(date Date, id UInt32) ENGINE = ReplicatedMergeTree('/clickhouse/tables/0/replicated', 'node2') PARTITION BY toYYYYMM(date) ORDER BY id
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"""
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)
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node1.query(
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"""
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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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)
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node2.query(
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"""
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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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)
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shard1.query(
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"""
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CREATE TABLE low_cardinality (d Date, x UInt32, s LowCardinality(String)) ENGINE = MergeTree PARTITION BY toYYYYMM(d) ORDER BY x"""
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)
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shard2.query(
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"""
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CREATE TABLE low_cardinality (d Date, x UInt32, s LowCardinality(String)) ENGINE = MergeTree PARTITION BY toYYYYMM(d) ORDER BY x"""
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)
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shard1.query(
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"""
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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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)
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node1.query(
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"""
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CREATE TABLE table_function (n UInt8, s String) ENGINE = MergeTree() ORDER BY n"""
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)
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node2.query(
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"""
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CREATE TABLE table_function (n UInt8, s String) ENGINE = MergeTree() ORDER BY n"""
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)
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node1.query(
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"""
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CREATE TABLE distributed_one_replica_internal_replication (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica_internal_replication', 'default', 'single_replicated')
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"""
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)
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node2.query(
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"""
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CREATE TABLE distributed_one_replica_internal_replication (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica_internal_replication', 'default', 'single_replicated')
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"""
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)
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node1.query(
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"""
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CREATE TABLE distributed_one_replica_no_internal_replication (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica', 'default', 'single_replicated')
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"""
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)
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node2.query(
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"""
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CREATE TABLE distributed_one_replica_no_internal_replication (date Date, id UInt32) ENGINE = Distributed('shard_with_local_replica', 'default', 'single_replicated')
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"""
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)
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node2.query(
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"""
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CREATE TABLE single_replicated(date Date, id UInt32) ENGINE = ReplicatedMergeTree('/clickhouse/tables/0/single_replicated', 'node2') PARTITION BY toYYYYMM(date) ORDER BY id
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"""
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)
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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(
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instance, remote, action="REJECT --reject-with tcp-reset"
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)
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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(5)
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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(
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"INSERT INTO distributed(d, x) VALUES ('2000-01-01', {})".format(i)
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)
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for i in range(7, 9):
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instance.query(
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"INSERT INTO distributed(x, d) VALUES ({}, '2000-01-01')".format(i)
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)
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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(
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"INSERT INTO distributed(d, x) VALUES ('2000-01-01', {})".format(i)
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)
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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(
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"SELECT _part, groupArray(x) FROM local2 GROUP BY _part ORDER BY _part"
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)
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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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200001_1_1_0\t[1]
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200001_2_2_0\t[2,3,4]
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200001_3_3_0\t[5,6,7]
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200001_4_4_0\t[10,11,12]
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200001_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_inserts_single_replica_local_internal_replication(started_cluster):
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with pytest.raises(
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QueryRuntimeException, match="Table default.single_replicated doesn't exist"
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):
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node1.query(
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"INSERT INTO distributed_one_replica_internal_replication VALUES ('2000-01-01', 1)",
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settings={
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"insert_distributed_sync": "1",
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"prefer_localhost_replica": "1",
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# to make the test more deterministic
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"load_balancing": "first_or_random",
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},
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)
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assert node2.query("SELECT count(*) FROM single_replicated").strip() == "0"
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def test_inserts_single_replica_internal_replication(started_cluster):
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try:
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node1.query(
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"INSERT INTO distributed_one_replica_internal_replication VALUES ('2000-01-01', 1)",
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settings={
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"insert_distributed_sync": "1",
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"prefer_localhost_replica": "0",
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# to make the test more deterministic
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"load_balancing": "first_or_random",
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},
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)
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assert node2.query("SELECT count(*) FROM single_replicated").strip() == "1"
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finally:
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node2.query("TRUNCATE TABLE single_replicated")
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def test_inserts_single_replica_no_internal_replication(started_cluster):
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try:
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with pytest.raises(
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QueryRuntimeException, match="Table default.single_replicated doesn't exist"
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):
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node1.query(
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"INSERT INTO distributed_one_replica_no_internal_replication VALUES ('2000-01-01', 1)",
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settings={
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"insert_distributed_sync": "1",
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"prefer_localhost_replica": "0",
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},
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)
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assert node2.query("SELECT count(*) FROM single_replicated").strip() == "1"
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finally:
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node2.query("TRUNCATE TABLE single_replicated")
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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(
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node2.query(
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test_query
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+ " SETTINGS load_balancing='in_order', prefer_localhost_replica=0"
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)
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) == TSV(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(
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"INSERT INTO low_cardinality_all (d,x,s) VALUES ('2018-11-12',1,'123')"
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)
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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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)
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assert (
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node1.query(
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"select count() from cluster('shard_with_local_replica', 'default', 'table_function')"
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).rstrip()
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== "100000"
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)
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