mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-18 05:32:52 +00:00
763 lines
24 KiB
Python
763 lines
24 KiB
Python
import os
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import random
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import string
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import struct
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import pytest
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from helpers.cluster import ClickHouseCluster
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from helpers.test_tools import TSV
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from helpers.test_tools import assert_eq_with_retry, exec_query_with_retry
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cluster = ClickHouseCluster(__file__)
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def get_random_array():
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return [random.randint(0, 1000) % 1000 for _ in range(random.randint(0, 1000))]
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def get_random_string():
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length = random.randint(0, 1000)
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return "".join(
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random.choice(string.ascii_uppercase + string.digits) for _ in range(length)
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)
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def insert_random_data(table, node, size):
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data = [
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"("
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+ ",".join(
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(
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"'2019-10-11'",
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str(i),
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"'" + get_random_string() + "'",
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str(get_random_array()),
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)
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)
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+ ")"
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for i in range(size)
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]
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node.query("INSERT INTO {} VALUES {}".format(table, ",".join(data)))
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def create_tables(name, nodes, node_settings, shard):
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for i, (node, settings) in enumerate(zip(nodes, node_settings)):
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node.query(
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"""
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CREATE TABLE {name}(date Date, id UInt32, s String, arr Array(Int32))
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ENGINE = ReplicatedMergeTree('/clickhouse/tables/test/{shard}/{name}', '{repl}')
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PARTITION BY toYYYYMM(date)
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ORDER BY id
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SETTINGS index_granularity = 64, index_granularity_bytes = {index_granularity_bytes},
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min_rows_for_wide_part = {min_rows_for_wide_part}, min_rows_for_compact_part = {min_rows_for_compact_part},
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min_bytes_for_wide_part = 0, min_bytes_for_compact_part = 0,
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in_memory_parts_enable_wal = 1
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""".format(
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name=name, shard=shard, repl=i, **settings
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)
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)
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def create_tables_old_format(name, nodes, shard):
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for i, node in enumerate(nodes):
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node.query(
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"""
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CREATE TABLE {name}(date Date, id UInt32, s String, arr Array(Int32))
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ENGINE = ReplicatedMergeTree('/clickhouse/tables/test/{shard}/{name}', '{repl}', date, id, 64)
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""".format(
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name=name, shard=shard, repl=i
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),
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settings={"allow_deprecated_syntax_for_merge_tree": 1},
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)
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node1 = cluster.add_instance(
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"node1",
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main_configs=[],
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user_configs=["configs/users.d/not_optimize_count.xml"],
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with_zookeeper=True,
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)
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node2 = cluster.add_instance(
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"node2",
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main_configs=[],
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user_configs=["configs/users.d/not_optimize_count.xml"],
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with_zookeeper=True,
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)
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settings_default = {
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"index_granularity_bytes": 10485760,
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"min_rows_for_wide_part": 512,
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"min_rows_for_compact_part": 0,
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}
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settings_compact_only = {
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"index_granularity_bytes": 10485760,
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"min_rows_for_wide_part": 1000000,
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"min_rows_for_compact_part": 0,
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}
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settings_not_adaptive = {
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"index_granularity_bytes": 0,
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"min_rows_for_wide_part": 512,
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"min_rows_for_compact_part": 0,
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}
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node3 = cluster.add_instance(
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"node3",
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main_configs=[],
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user_configs=["configs/users.d/not_optimize_count.xml"],
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with_zookeeper=True,
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)
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node4 = cluster.add_instance(
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"node4",
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user_configs=["configs/users.d/not_optimize_count.xml"],
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main_configs=["configs/no_leader.xml"],
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with_zookeeper=True,
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)
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settings_compact = {
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"index_granularity_bytes": 10485760,
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"min_rows_for_wide_part": 512,
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"min_rows_for_compact_part": 0,
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}
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settings_wide = {
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"index_granularity_bytes": 10485760,
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"min_rows_for_wide_part": 0,
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"min_rows_for_compact_part": 0,
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}
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node5 = cluster.add_instance(
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"node5", main_configs=["configs/compact_parts.xml"], with_zookeeper=True
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)
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node6 = cluster.add_instance(
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"node6", main_configs=["configs/compact_parts.xml"], with_zookeeper=True
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)
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settings_in_memory = {
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"index_granularity_bytes": 10485760,
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"min_rows_for_wide_part": 512,
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"min_rows_for_compact_part": 256,
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}
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node9 = cluster.add_instance("node9", with_zookeeper=True, stay_alive=True)
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node10 = cluster.add_instance("node10", with_zookeeper=True)
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node11 = cluster.add_instance(
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"node11",
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main_configs=["configs/do_not_merge.xml"],
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with_zookeeper=True,
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stay_alive=True,
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)
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node12 = cluster.add_instance(
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"node12",
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main_configs=["configs/do_not_merge.xml"],
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with_zookeeper=True,
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stay_alive=True,
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)
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@pytest.fixture(scope="module")
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def start_cluster():
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try:
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cluster.start()
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create_tables(
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"polymorphic_table",
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[node1, node2],
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[settings_default, settings_default],
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"shard1",
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)
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create_tables(
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"compact_parts_only",
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[node1, node2],
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[settings_compact_only, settings_compact_only],
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"shard1",
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)
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create_tables(
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"non_adaptive_table",
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[node1, node2],
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[settings_not_adaptive, settings_not_adaptive],
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"shard1",
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)
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create_tables(
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"polymorphic_table_compact",
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[node3, node4],
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[settings_compact, settings_wide],
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"shard2",
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)
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create_tables(
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"polymorphic_table_wide",
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[node3, node4],
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[settings_wide, settings_compact],
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"shard2",
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)
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create_tables_old_format("polymorphic_table", [node5, node6], "shard3")
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create_tables(
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"in_memory_table",
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[node9, node10],
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[settings_in_memory, settings_in_memory],
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"shard4",
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)
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create_tables(
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"wal_table",
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[node11, node12],
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[settings_in_memory, settings_in_memory],
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"shard4",
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)
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create_tables(
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"restore_table",
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[node11, node12],
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[settings_in_memory, settings_in_memory],
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"shard5",
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)
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create_tables(
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"deduplication_table",
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[node9, node10],
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[settings_in_memory, settings_in_memory],
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"shard5",
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)
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create_tables(
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"sync_table",
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[node9, node10],
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[settings_in_memory, settings_in_memory],
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"shard5",
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)
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create_tables(
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"alters_table",
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[node9, node10],
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[settings_in_memory, settings_in_memory],
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"shard5",
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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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@pytest.mark.parametrize(
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("first_node", "second_node"),
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[
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(node1, node2), # compact parts
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(node5, node6), # compact parts, old-format
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],
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)
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def test_polymorphic_parts_basics(start_cluster, first_node, second_node):
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first_node.query("SYSTEM STOP MERGES")
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second_node.query("SYSTEM STOP MERGES")
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for size in [300, 300, 600]:
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insert_random_data("polymorphic_table", first_node, size)
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second_node.query("SYSTEM SYNC REPLICA polymorphic_table", timeout=20)
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assert first_node.query("SELECT count() FROM polymorphic_table") == "1200\n"
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assert second_node.query("SELECT count() FROM polymorphic_table") == "1200\n"
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expected = "Compact\t2\nWide\t1\n"
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assert TSV(
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first_node.query(
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"SELECT part_type, count() FROM system.parts "
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"WHERE table = 'polymorphic_table' AND active GROUP BY part_type ORDER BY part_type"
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)
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) == TSV(expected)
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assert TSV(
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second_node.query(
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"SELECT part_type, count() FROM system.parts "
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"WHERE table = 'polymorphic_table' AND active GROUP BY part_type ORDER BY part_type"
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)
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) == TSV(expected)
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first_node.query("SYSTEM START MERGES")
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second_node.query("SYSTEM START MERGES")
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for _ in range(40):
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insert_random_data("polymorphic_table", first_node, 10)
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insert_random_data("polymorphic_table", second_node, 10)
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first_node.query("SYSTEM SYNC REPLICA polymorphic_table", timeout=20)
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second_node.query("SYSTEM SYNC REPLICA polymorphic_table", timeout=20)
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assert first_node.query("SELECT count() FROM polymorphic_table") == "2000\n"
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assert second_node.query("SELECT count() FROM polymorphic_table") == "2000\n"
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first_node.query("OPTIMIZE TABLE polymorphic_table FINAL")
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second_node.query("SYSTEM SYNC REPLICA polymorphic_table", timeout=20)
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assert first_node.query("SELECT count() FROM polymorphic_table") == "2000\n"
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assert second_node.query("SELECT count() FROM polymorphic_table") == "2000\n"
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assert (
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first_node.query(
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"SELECT DISTINCT part_type FROM system.parts WHERE table = 'polymorphic_table' AND active"
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)
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== "Wide\n"
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)
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assert (
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second_node.query(
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"SELECT DISTINCT part_type FROM system.parts WHERE table = 'polymorphic_table' AND active"
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)
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== "Wide\n"
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)
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# Check alters and mutations also work
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first_node.query("ALTER TABLE polymorphic_table ADD COLUMN ss String")
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first_node.query("ALTER TABLE polymorphic_table UPDATE ss = toString(id) WHERE 1")
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second_node.query("SYSTEM SYNC REPLICA polymorphic_table", timeout=20)
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first_node.query("SELECT count(ss) FROM polymorphic_table") == "2000\n"
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first_node.query("SELECT uniqExact(ss) FROM polymorphic_table") == "600\n"
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second_node.query("SELECT count(ss) FROM polymorphic_table") == "2000\n"
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second_node.query("SELECT uniqExact(ss) FROM polymorphic_table") == "600\n"
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# Checks mostly that merge from compact part to compact part works.
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def test_compact_parts_only(start_cluster):
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for i in range(20):
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insert_random_data("compact_parts_only", node1, 100)
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insert_random_data("compact_parts_only", node2, 100)
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node1.query("SYSTEM SYNC REPLICA compact_parts_only", timeout=20)
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node2.query("SYSTEM SYNC REPLICA compact_parts_only", timeout=20)
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assert node1.query("SELECT count() FROM compact_parts_only") == "4000\n"
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assert node2.query("SELECT count() FROM compact_parts_only") == "4000\n"
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assert (
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node1.query(
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"SELECT DISTINCT part_type FROM system.parts WHERE table = 'compact_parts_only' AND active"
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)
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== "Compact\n"
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)
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assert (
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node2.query(
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"SELECT DISTINCT part_type FROM system.parts WHERE table = 'compact_parts_only' AND active"
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)
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== "Compact\n"
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)
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node1.query("OPTIMIZE TABLE compact_parts_only FINAL")
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node2.query("SYSTEM SYNC REPLICA compact_parts_only", timeout=20)
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assert node2.query("SELECT count() FROM compact_parts_only") == "4000\n"
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expected = "Compact\t1\n"
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assert TSV(
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node1.query(
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"SELECT part_type, count() FROM system.parts "
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"WHERE table = 'compact_parts_only' AND active GROUP BY part_type ORDER BY part_type"
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)
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) == TSV(expected)
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assert TSV(
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node2.query(
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"SELECT part_type, count() FROM system.parts "
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"WHERE table = 'compact_parts_only' AND active GROUP BY part_type ORDER BY part_type"
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)
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) == TSV(expected)
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# Check that follower replicas create parts of the same type, which leader has chosen at merge.
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@pytest.mark.parametrize(
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("table", "part_type"),
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[("polymorphic_table_compact", "Compact"), ("polymorphic_table_wide", "Wide")],
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)
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def test_different_part_types_on_replicas(start_cluster, table, part_type):
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leader = node3
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follower = node4
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assert (
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leader.query(
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"SELECT is_leader FROM system.replicas WHERE table = '{}'".format(table)
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)
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== "1\n"
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)
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assert (
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node4.query(
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"SELECT is_leader FROM system.replicas WHERE table = '{}'".format(table)
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)
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== "0\n"
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)
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for _ in range(3):
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insert_random_data(table, leader, 100)
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leader.query("OPTIMIZE TABLE {} FINAL".format(table))
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follower.query("SYSTEM SYNC REPLICA {}".format(table), timeout=20)
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expected = "{}\t1\n".format(part_type)
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assert TSV(
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leader.query(
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"SELECT part_type, count() FROM system.parts "
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"WHERE table = '{}' AND active GROUP BY part_type ORDER BY part_type".format(
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table
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)
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)
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) == TSV(expected)
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assert TSV(
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follower.query(
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"SELECT part_type, count() FROM system.parts "
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"WHERE table = '{}' AND active GROUP BY part_type ORDER BY part_type".format(
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table
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)
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)
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) == TSV(expected)
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node7 = cluster.add_instance(
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"node7",
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user_configs=["configs_old/users.d/not_optimize_count.xml"],
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with_zookeeper=True,
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image="yandex/clickhouse-server",
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tag="19.17.8.54",
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stay_alive=True,
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with_installed_binary=True,
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)
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node8 = cluster.add_instance(
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"node8",
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user_configs=["configs/users.d/not_optimize_count.xml"],
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with_zookeeper=True,
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)
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settings7 = {"index_granularity_bytes": 10485760}
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settings8 = {
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"index_granularity_bytes": 10485760,
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"min_rows_for_wide_part": 512,
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"min_rows_for_compact_part": 0,
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}
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|
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@pytest.fixture(scope="module")
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def start_cluster_diff_versions():
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try:
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for name in ["polymorphic_table", "polymorphic_table_2"]:
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cluster.start()
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node7.query(
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"""
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CREATE TABLE {name}(date Date, id UInt32, s String, arr Array(Int32))
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ENGINE = ReplicatedMergeTree('/clickhouse/tables/test/shard5/{name}', '1')
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PARTITION BY toYYYYMM(date)
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ORDER BY id
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SETTINGS index_granularity = 64, index_granularity_bytes = {index_granularity_bytes}
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""".format(
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name=name, **settings7
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)
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)
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node8.query(
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"""
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CREATE TABLE {name}(date Date, id UInt32, s String, arr Array(Int32))
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ENGINE = ReplicatedMergeTree('/clickhouse/tables/test/shard5/{name}', '2')
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PARTITION BY toYYYYMM(date)
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ORDER BY id
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SETTINGS index_granularity = 64, index_granularity_bytes = {index_granularity_bytes},
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min_rows_for_wide_part = {min_rows_for_wide_part}, min_bytes_for_wide_part = {min_bytes_for_wide_part}
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""".format(
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name=name, **settings8
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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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|
|
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@pytest.mark.skip(reason="compatability is temporary broken")
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def test_polymorphic_parts_diff_versions(start_cluster_diff_versions):
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# Check that replication with Wide parts works between different versions.
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node_old = node7
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node_new = node8
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insert_random_data("polymorphic_table", node7, 100)
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node8.query("SYSTEM SYNC REPLICA polymorphic_table", timeout=20)
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assert node8.query("SELECT count() FROM polymorphic_table") == "100\n"
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assert (
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node8.query(
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"SELECT DISTINCT part_type FROM system.parts WHERE table = 'polymorphic_table' and active"
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)
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== "Wide\n"
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)
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@pytest.mark.skip(reason="compatability is temporary broken")
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def test_polymorphic_parts_diff_versions_2(start_cluster_diff_versions):
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# Replication doesn't work on old version if part is created in compact format, because
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# this version doesn't know anything about it. It's considered to be ok.
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node_old = node7
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node_new = node8
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insert_random_data("polymorphic_table_2", node_new, 100)
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assert node_new.query("SELECT count() FROM polymorphic_table_2") == "100\n"
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assert node_old.query("SELECT count() FROM polymorphic_table_2") == "0\n"
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with pytest.raises(Exception):
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node_old.query("SYSTEM SYNC REPLICA polymorphic_table_2", timeout=3)
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node_old.restart_with_latest_version(fix_metadata=True)
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node_old.query("SYSTEM SYNC REPLICA polymorphic_table_2", timeout=20)
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# Works after update
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assert node_old.query("SELECT count() FROM polymorphic_table_2") == "100\n"
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assert (
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node_old.query(
|
|
"SELECT DISTINCT part_type FROM system.parts WHERE table = 'polymorphic_table_2' and active"
|
|
)
|
|
== "Compact\n"
|
|
)
|
|
|
|
|
|
def test_polymorphic_parts_non_adaptive(start_cluster):
|
|
node1.query("SYSTEM STOP MERGES")
|
|
node2.query("SYSTEM STOP MERGES")
|
|
|
|
insert_random_data("non_adaptive_table", node1, 100)
|
|
node2.query("SYSTEM SYNC REPLICA non_adaptive_table", timeout=20)
|
|
|
|
insert_random_data("non_adaptive_table", node2, 100)
|
|
node1.query("SYSTEM SYNC REPLICA non_adaptive_table", timeout=20)
|
|
|
|
assert TSV(
|
|
node1.query(
|
|
"SELECT part_type, count() FROM system.parts "
|
|
"WHERE table = 'non_adaptive_table' AND active GROUP BY part_type ORDER BY part_type"
|
|
)
|
|
) == TSV("Wide\t2\n")
|
|
assert TSV(
|
|
node2.query(
|
|
"SELECT part_type, count() FROM system.parts "
|
|
"WHERE table = 'non_adaptive_table' AND active GROUP BY part_type ORDER BY part_type"
|
|
)
|
|
) == TSV("Wide\t2\n")
|
|
|
|
assert node1.contains_in_log(
|
|
"<Warning> default.non_adaptive_table ([0-9a-f-]*): Table can't create parts with adaptive granularity"
|
|
)
|
|
|
|
|
|
def test_in_memory(start_cluster):
|
|
node9.query("SYSTEM STOP MERGES")
|
|
node10.query("SYSTEM STOP MERGES")
|
|
|
|
for size in [200, 200, 300, 600]:
|
|
insert_random_data("in_memory_table", node9, size)
|
|
node10.query("SYSTEM SYNC REPLICA in_memory_table", timeout=20)
|
|
|
|
assert node9.query("SELECT count() FROM in_memory_table") == "1300\n"
|
|
assert node10.query("SELECT count() FROM in_memory_table") == "1300\n"
|
|
|
|
expected = "Compact\t1\nInMemory\t2\nWide\t1\n"
|
|
|
|
assert TSV(
|
|
node9.query(
|
|
"SELECT part_type, count() FROM system.parts "
|
|
"WHERE table = 'in_memory_table' AND active GROUP BY part_type ORDER BY part_type"
|
|
)
|
|
) == TSV(expected)
|
|
assert TSV(
|
|
node10.query(
|
|
"SELECT part_type, count() FROM system.parts "
|
|
"WHERE table = 'in_memory_table' AND active GROUP BY part_type ORDER BY part_type"
|
|
)
|
|
) == TSV(expected)
|
|
|
|
node9.query("SYSTEM START MERGES")
|
|
node10.query("SYSTEM START MERGES")
|
|
|
|
assert_eq_with_retry(
|
|
node9,
|
|
"OPTIMIZE TABLE in_memory_table FINAL SETTINGS optimize_throw_if_noop = 1",
|
|
"",
|
|
)
|
|
node10.query("SYSTEM SYNC REPLICA in_memory_table", timeout=20)
|
|
|
|
assert node9.query("SELECT count() FROM in_memory_table") == "1300\n"
|
|
assert node10.query("SELECT count() FROM in_memory_table") == "1300\n"
|
|
|
|
assert TSV(
|
|
node9.query(
|
|
"SELECT part_type, count() FROM system.parts "
|
|
"WHERE table = 'in_memory_table' AND active GROUP BY part_type ORDER BY part_type"
|
|
)
|
|
) == TSV("Wide\t1\n")
|
|
assert TSV(
|
|
node10.query(
|
|
"SELECT part_type, count() FROM system.parts "
|
|
"WHERE table = 'in_memory_table' AND active GROUP BY part_type ORDER BY part_type"
|
|
)
|
|
) == TSV("Wide\t1\n")
|
|
|
|
|
|
def test_in_memory_wal_rotate(start_cluster):
|
|
# Write every part to single wal
|
|
node11.query(
|
|
"ALTER TABLE restore_table MODIFY SETTING write_ahead_log_max_bytes = 10"
|
|
)
|
|
for i in range(5):
|
|
insert_random_data("restore_table", node11, 50)
|
|
|
|
for i in range(5):
|
|
# Check file exists
|
|
node11.exec_in_container(
|
|
[
|
|
"bash",
|
|
"-c",
|
|
"test -f /var/lib/clickhouse/data/default/restore_table/wal_{0}_{0}.bin".format(
|
|
i
|
|
),
|
|
]
|
|
)
|
|
|
|
for node in [node11, node12]:
|
|
node.query(
|
|
"ALTER TABLE restore_table MODIFY SETTING number_of_free_entries_in_pool_to_lower_max_size_of_merge = 0"
|
|
)
|
|
node.query(
|
|
"ALTER TABLE restore_table MODIFY SETTING max_bytes_to_merge_at_max_space_in_pool = 10000000"
|
|
)
|
|
|
|
assert_eq_with_retry(
|
|
node11,
|
|
"OPTIMIZE TABLE restore_table FINAL SETTINGS optimize_throw_if_noop = 1",
|
|
"",
|
|
)
|
|
# Restart to be sure, that clearing stale logs task was ran
|
|
node11.restart_clickhouse(kill=True)
|
|
|
|
for i in range(5):
|
|
# check file doesn't exist
|
|
node11.exec_in_container(
|
|
[
|
|
"bash",
|
|
"-c",
|
|
"test ! -e /var/lib/clickhouse/data/default/restore_table/wal_{0}_{0}.bin".format(
|
|
i
|
|
),
|
|
]
|
|
)
|
|
|
|
# New wal file was created and ready to write part to it
|
|
# Check file exists
|
|
node11.exec_in_container(
|
|
["bash", "-c", "test -f /var/lib/clickhouse/data/default/restore_table/wal.bin"]
|
|
)
|
|
# Chech file empty
|
|
node11.exec_in_container(
|
|
[
|
|
"bash",
|
|
"-c",
|
|
"test ! -s /var/lib/clickhouse/data/default/restore_table/wal.bin",
|
|
]
|
|
)
|
|
|
|
|
|
def test_in_memory_deduplication(start_cluster):
|
|
for i in range(3):
|
|
# table can be in readonly node
|
|
exec_query_with_retry(
|
|
node9,
|
|
"INSERT INTO deduplication_table (date, id, s) VALUES (toDate('2020-03-03'), 1, 'foo')",
|
|
)
|
|
exec_query_with_retry(
|
|
node10,
|
|
"INSERT INTO deduplication_table (date, id, s) VALUES (toDate('2020-03-03'), 1, 'foo')",
|
|
)
|
|
|
|
node9.query("SYSTEM SYNC REPLICA deduplication_table", timeout=20)
|
|
node10.query("SYSTEM SYNC REPLICA deduplication_table", timeout=20)
|
|
|
|
assert (
|
|
node9.query("SELECT date, id, s FROM deduplication_table")
|
|
== "2020-03-03\t1\tfoo\n"
|
|
)
|
|
assert (
|
|
node10.query("SELECT date, id, s FROM deduplication_table")
|
|
== "2020-03-03\t1\tfoo\n"
|
|
)
|
|
|
|
|
|
# Checks that restoring from WAL works after table schema changed
|
|
def test_in_memory_alters(start_cluster):
|
|
def check_parts_type(parts_num):
|
|
assert (
|
|
node9.query(
|
|
"SELECT part_type, count() FROM system.parts WHERE table = 'alters_table' \
|
|
AND active GROUP BY part_type"
|
|
)
|
|
== "InMemory\t{}\n".format(parts_num)
|
|
)
|
|
|
|
node9.query(
|
|
"INSERT INTO alters_table (date, id, s) VALUES (toDate('2020-10-10'), 1, 'ab'), (toDate('2020-10-10'), 2, 'cd')"
|
|
)
|
|
node9.query("ALTER TABLE alters_table ADD COLUMN col1 UInt32")
|
|
node9.restart_clickhouse(kill=True)
|
|
|
|
expected = "1\tab\t0\n2\tcd\t0\n"
|
|
assert node9.query("SELECT id, s, col1 FROM alters_table ORDER BY id") == expected
|
|
check_parts_type(1)
|
|
node9.query(
|
|
"INSERT INTO alters_table (date, id, col1) VALUES (toDate('2020-10-10'), 3, 100)"
|
|
)
|
|
node9.query("ALTER TABLE alters_table MODIFY COLUMN col1 String")
|
|
node9.query("ALTER TABLE alters_table DROP COLUMN s")
|
|
node9.restart_clickhouse(kill=True)
|
|
|
|
check_parts_type(2)
|
|
with pytest.raises(Exception):
|
|
node9.query("SELECT id, s, col1 FROM alters_table")
|
|
|
|
# Values of col1 was not materialized as integers, so they have
|
|
# default string values after alter
|
|
expected = "1\t_foo\n2\t_foo\n3\t100_foo\n"
|
|
assert (
|
|
node9.query("SELECT id, col1 || '_foo' FROM alters_table ORDER BY id")
|
|
== expected
|
|
)
|
|
|
|
|
|
def test_polymorphic_parts_index(start_cluster):
|
|
node1.query(
|
|
"CREATE DATABASE test_index ENGINE=Ordinary",
|
|
settings={"allow_deprecated_database_ordinary": 1},
|
|
) # Different paths with Atomic
|
|
node1.query(
|
|
"""
|
|
CREATE TABLE test_index.index_compact(a UInt32, s String)
|
|
ENGINE = MergeTree ORDER BY a
|
|
SETTINGS min_rows_for_wide_part = 1000, index_granularity = 128, merge_max_block_size = 100, compress_marks=false, compress_primary_key=false"""
|
|
)
|
|
|
|
node1.query(
|
|
"INSERT INTO test_index.index_compact SELECT number, toString(number) FROM numbers(100)"
|
|
)
|
|
node1.query(
|
|
"INSERT INTO test_index.index_compact SELECT number, toString(number) FROM numbers(30)"
|
|
)
|
|
node1.query("OPTIMIZE TABLE test_index.index_compact FINAL")
|
|
|
|
assert (
|
|
node1.query(
|
|
"SELECT part_type FROM system.parts WHERE table = 'index_compact' AND active"
|
|
)
|
|
== "Compact\n"
|
|
)
|
|
assert (
|
|
node1.query(
|
|
"SELECT marks FROM system.parts WHERE table = 'index_compact' AND active"
|
|
)
|
|
== "2\n"
|
|
)
|
|
|
|
index_path = os.path.join(
|
|
node1.path, "database/data/test_index/index_compact/all_1_2_1/primary.idx"
|
|
)
|
|
f = open(index_path, "rb")
|
|
|
|
assert os.path.getsize(index_path) == 8
|
|
assert struct.unpack("I", f.read(4))[0] == 0
|
|
assert struct.unpack("I", f.read(4))[0] == 99
|