ClickHouse/tests/integration/test_cluster_copier/test.py

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import os
import random
import sys
import time
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import kazoo
import pytest
import string
import random
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from contextlib import contextmanager
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from helpers.cluster import ClickHouseCluster
from helpers.test_tools import TSV
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import docker
CURRENT_TEST_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, os.path.dirname(CURRENT_TEST_DIR))
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COPYING_FAIL_PROBABILITY = 0.2
MOVING_FAIL_PROBABILITY = 0.2
cluster = ClickHouseCluster(__file__)
def generateRandomString(count):
return "".join(
random.choice(string.ascii_uppercase + string.digits) for _ in range(count)
)
def check_all_hosts_sucesfully_executed(tsv_content, num_hosts):
M = TSV.toMat(tsv_content)
hosts = [(l[0], l[1]) for l in M] # (host, port)
codes = [l[2] for l in M]
assert len(hosts) == num_hosts and len(set(hosts)) == num_hosts, "\n" + tsv_content
assert len(set(codes)) == 1, "\n" + tsv_content
assert codes[0] == "0", "\n" + tsv_content
def ddl_check_query(instance, query, num_hosts=3):
contents = instance.query(query)
check_all_hosts_sucesfully_executed(contents, num_hosts)
return contents
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@pytest.fixture(scope="module")
def started_cluster():
global cluster
try:
clusters_schema = {
"0": {"0": ["0", "1"], "1": ["0"]},
"1": {"0": ["0", "1"], "1": ["0"]},
}
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for cluster_name, shards in clusters_schema.items():
for shard_name, replicas in shards.items():
for replica_name in replicas:
name = "s{}_{}_{}".format(cluster_name, shard_name, replica_name)
cluster.add_instance(
name,
main_configs=[
"configs/conf.d/query_log.xml",
"configs/conf.d/ddl.xml",
"configs/conf.d/clusters.xml",
],
user_configs=["configs/users.xml"],
macros={
"cluster": cluster_name,
"shard": shard_name,
"replica": replica_name,
},
with_zookeeper=True,
)
cluster.start()
yield cluster
finally:
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cluster.shutdown()
class Task1:
def __init__(self, cluster):
self.cluster = cluster
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self.zk_task_path = "/clickhouse-copier/task_simple_" + generateRandomString(10)
self.container_task_file = "/task0_description.xml"
for instance_name, _ in cluster.instances.items():
instance = cluster.instances[instance_name]
instance.copy_file_to_container(
os.path.join(CURRENT_TEST_DIR, "./task0_description.xml"),
self.container_task_file,
)
print(
"Copied task file to container of '{}' instance. Path {}".format(
instance_name, self.container_task_file
)
)
def start(self):
instance = cluster.instances["s0_0_0"]
for cluster_num in ["0", "1"]:
ddl_check_query(
instance,
"DROP DATABASE IF EXISTS default ON CLUSTER cluster{} SYNC".format(
cluster_num
),
)
ddl_check_query(
instance,
"CREATE DATABASE default ON CLUSTER cluster{} ".format(cluster_num),
)
ddl_check_query(
instance,
"CREATE TABLE hits ON CLUSTER cluster0 (d UInt64, d1 UInt64 MATERIALIZED d+1) "
+ "ENGINE=ReplicatedMergeTree "
+ "PARTITION BY d % 3 ORDER BY (d, sipHash64(d)) SAMPLE BY sipHash64(d) SETTINGS index_granularity = 16",
)
ddl_check_query(
instance,
"CREATE TABLE hits_all ON CLUSTER cluster0 (d UInt64) ENGINE=Distributed(cluster0, default, hits, d)",
)
ddl_check_query(
instance,
"CREATE TABLE hits_all ON CLUSTER cluster1 (d UInt64) ENGINE=Distributed(cluster1, default, hits, d + 1)",
)
instance.query(
"INSERT INTO hits_all SELECT * FROM system.numbers LIMIT 1002",
Rename directory monitor concept into background INSERT (#55978) * Limit log frequence for "Skipping send data over distributed table" message After SYSTEM STOP DISTRIBUTED SENDS it will constantly print this message. Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> * Rename directory monitor concept into async INSERT Rename the following query settings (with preserving backward compatiblity, by keeping old name as an alias): - distributed_directory_monitor_sleep_time_ms -> distributed_async_insert_sleep_time_ms - distributed_directory_monitor_max_sleep_time_ms -> distributed_async_insert_max_sleep_time_ms - distributed_directory_monitor_batch -> distributed_async_insert_batch_inserts - distributed_directory_monitor_split_batch_on_failure -> distributed_async_insert_split_batch_on_failure Rename the following table settings (with preserving backward compatiblity, by keeping old name as an alias): - monitor_batch_inserts -> async_insert_batch - monitor_split_batch_on_failure -> async_insert_split_batch_on_failure - directory_monitor_sleep_time_ms -> async_insert_sleep_time_ms - directory_monitor_max_sleep_time_ms -> async_insert_max_sleep_time_ms And also update all the references: $ gg -e directory_monitor_ -e monitor_ tests docs | cut -d: -f1 | sort -u | xargs sed -e 's/distributed_directory_monitor_sleep_time_ms/distributed_async_insert_sleep_time_ms/g' -e 's/distributed_directory_monitor_max_sleep_time_ms/distributed_async_insert_max_sleep_time_ms/g' -e 's/distributed_directory_monitor_batch_inserts/distributed_async_insert_batch/g' -e 's/distributed_directory_monitor_split_batch_on_failure/distributed_async_insert_split_batch_on_failure/g' -e 's/monitor_batch_inserts/async_insert_batch/g' -e 's/monitor_split_batch_on_failure/async_insert_split_batch_on_failure/g' -e 's/monitor_sleep_time_ms/async_insert_sleep_time_ms/g' -e 's/monitor_max_sleep_time_ms/async_insert_max_sleep_time_ms/g' -i Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> * Rename async_insert for Distributed into background_insert This will avoid amigibuity between general async INSERT's and INSERT into Distributed, which are indeed background, so new term express it even better. Mostly done with: $ git di HEAD^ --name-only | xargs sed -i -e 's/distributed_async_insert/distributed_background_insert/g' -e 's/async_insert_batch/background_insert_batch/g' -e 's/async_insert_split_batch_on_failure/background_insert_split_batch_on_failure/g' -e 's/async_insert_sleep_time_ms/background_insert_sleep_time_ms/g' -e 's/async_insert_max_sleep_time_ms/background_insert_max_sleep_time_ms/g' Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> * Mark 02417_opentelemetry_insert_on_distributed_table as long CI: https://s3.amazonaws.com/clickhouse-test-reports/55978/7a6abb03a0b507e29e999cb7e04f246a119c6f28/stateless_tests_flaky_check__asan_.html Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> --------- Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com>
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settings={"distributed_foreground_insert": 1},
)
def check(self):
assert (
self.cluster.instances["s0_0_0"]
.query("SELECT count() FROM hits_all")
.strip()
== "1002"
)
assert (
self.cluster.instances["s1_0_0"]
.query("SELECT count() FROM hits_all")
.strip()
== "1002"
)
assert (
self.cluster.instances["s1_0_0"]
.query("SELECT DISTINCT d % 2 FROM hits")
.strip()
== "1"
)
assert (
self.cluster.instances["s1_1_0"]
.query("SELECT DISTINCT d % 2 FROM hits")
.strip()
== "0"
)
instance = self.cluster.instances["s0_0_0"]
ddl_check_query(instance, "DROP TABLE hits_all ON CLUSTER cluster0")
ddl_check_query(instance, "DROP TABLE hits_all ON CLUSTER cluster1")
ddl_check_query(instance, "DROP TABLE hits ON CLUSTER cluster0")
ddl_check_query(instance, "DROP TABLE hits ON CLUSTER cluster1")
class Task2:
def __init__(self, cluster, unique_zk_path):
self.cluster = cluster
self.zk_task_path = (
"/clickhouse-copier/task_month_to_week_partition_" + generateRandomString(5)
)
self.unique_zk_path = generateRandomString(10)
self.container_task_file = "/task_month_to_week_description.xml"
for instance_name, _ in cluster.instances.items():
instance = cluster.instances[instance_name]
instance.copy_file_to_container(
os.path.join(CURRENT_TEST_DIR, "./task_month_to_week_description.xml"),
self.container_task_file,
)
print(
"Copied task file to container of '{}' instance. Path {}".format(
instance_name, self.container_task_file
)
)
def start(self):
instance = cluster.instances["s0_0_0"]
for cluster_num in ["0", "1"]:
ddl_check_query(
instance,
"DROP DATABASE IF EXISTS default ON CLUSTER cluster{}".format(
cluster_num
),
)
ddl_check_query(
instance,
"CREATE DATABASE IF NOT EXISTS default ON CLUSTER cluster{}".format(
cluster_num
),
)
ddl_check_query(
instance,
"CREATE TABLE a ON CLUSTER cluster0 (date Date, d UInt64, d1 UInt64 ALIAS d+1) "
"ENGINE=ReplicatedMergeTree('/clickhouse/tables/cluster_{cluster}/{shard}/"
+ self.unique_zk_path
+ "', "
"'{replica}', date, intHash64(d), (date, intHash64(d)), 8192)",
)
ddl_check_query(
instance,
"CREATE TABLE a_all ON CLUSTER cluster0 (date Date, d UInt64) ENGINE=Distributed(cluster0, default, a, d)",
)
instance.query(
"INSERT INTO a_all SELECT toDate(17581 + number) AS date, number AS d FROM system.numbers LIMIT 85",
Rename directory monitor concept into background INSERT (#55978) * Limit log frequence for "Skipping send data over distributed table" message After SYSTEM STOP DISTRIBUTED SENDS it will constantly print this message. Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> * Rename directory monitor concept into async INSERT Rename the following query settings (with preserving backward compatiblity, by keeping old name as an alias): - distributed_directory_monitor_sleep_time_ms -> distributed_async_insert_sleep_time_ms - distributed_directory_monitor_max_sleep_time_ms -> distributed_async_insert_max_sleep_time_ms - distributed_directory_monitor_batch -> distributed_async_insert_batch_inserts - distributed_directory_monitor_split_batch_on_failure -> distributed_async_insert_split_batch_on_failure Rename the following table settings (with preserving backward compatiblity, by keeping old name as an alias): - monitor_batch_inserts -> async_insert_batch - monitor_split_batch_on_failure -> async_insert_split_batch_on_failure - directory_monitor_sleep_time_ms -> async_insert_sleep_time_ms - directory_monitor_max_sleep_time_ms -> async_insert_max_sleep_time_ms And also update all the references: $ gg -e directory_monitor_ -e monitor_ tests docs | cut -d: -f1 | sort -u | xargs sed -e 's/distributed_directory_monitor_sleep_time_ms/distributed_async_insert_sleep_time_ms/g' -e 's/distributed_directory_monitor_max_sleep_time_ms/distributed_async_insert_max_sleep_time_ms/g' -e 's/distributed_directory_monitor_batch_inserts/distributed_async_insert_batch/g' -e 's/distributed_directory_monitor_split_batch_on_failure/distributed_async_insert_split_batch_on_failure/g' -e 's/monitor_batch_inserts/async_insert_batch/g' -e 's/monitor_split_batch_on_failure/async_insert_split_batch_on_failure/g' -e 's/monitor_sleep_time_ms/async_insert_sleep_time_ms/g' -e 's/monitor_max_sleep_time_ms/async_insert_max_sleep_time_ms/g' -i Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> * Rename async_insert for Distributed into background_insert This will avoid amigibuity between general async INSERT's and INSERT into Distributed, which are indeed background, so new term express it even better. Mostly done with: $ git di HEAD^ --name-only | xargs sed -i -e 's/distributed_async_insert/distributed_background_insert/g' -e 's/async_insert_batch/background_insert_batch/g' -e 's/async_insert_split_batch_on_failure/background_insert_split_batch_on_failure/g' -e 's/async_insert_sleep_time_ms/background_insert_sleep_time_ms/g' -e 's/async_insert_max_sleep_time_ms/background_insert_max_sleep_time_ms/g' Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> * Mark 02417_opentelemetry_insert_on_distributed_table as long CI: https://s3.amazonaws.com/clickhouse-test-reports/55978/7a6abb03a0b507e29e999cb7e04f246a119c6f28/stateless_tests_flaky_check__asan_.html Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com> --------- Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com>
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settings={"distributed_foreground_insert": 1},
)
def check(self):
assert TSV(
self.cluster.instances["s0_0_0"].query(
"SELECT count() FROM cluster(cluster0, default, a)"
)
) == TSV("85\n")
assert TSV(
self.cluster.instances["s1_0_0"].query(
"SELECT count(), uniqExact(date) FROM cluster(cluster1, default, b)"
)
) == TSV("85\t85\n")
assert TSV(
self.cluster.instances["s1_0_0"].query(
"SELECT DISTINCT jumpConsistentHash(intHash64(d), 2) FROM b"
)
) == TSV("0\n")
assert TSV(
self.cluster.instances["s1_1_0"].query(
"SELECT DISTINCT jumpConsistentHash(intHash64(d), 2) FROM b"
)
) == TSV("1\n")
assert TSV(
self.cluster.instances["s1_0_0"].query(
"SELECT uniqExact(partition) IN (12, 13) FROM system.parts WHERE active AND database='default' AND table='b'"
)
) == TSV("1\n")
assert TSV(
self.cluster.instances["s1_1_0"].query(
"SELECT uniqExact(partition) IN (12, 13) FROM system.parts WHERE active AND database='default' AND table='b'"
)
) == TSV("1\n")
instance = cluster.instances["s0_0_0"]
ddl_check_query(instance, "DROP TABLE a ON CLUSTER cluster0")
ddl_check_query(instance, "DROP TABLE b ON CLUSTER cluster1")
class Task_test_block_size:
def __init__(self, cluster):
self.cluster = cluster
self.zk_task_path = (
"/clickhouse-copier/task_test_block_size_" + generateRandomString(5)
)
self.rows = 1000000
self.container_task_file = "/task_test_block_size.xml"
for instance_name, _ in cluster.instances.items():
instance = cluster.instances[instance_name]
instance.copy_file_to_container(
os.path.join(CURRENT_TEST_DIR, "./task_test_block_size.xml"),
self.container_task_file,
)
print(
"Copied task file to container of '{}' instance. Path {}".format(
instance_name, self.container_task_file
)
)
def start(self):
instance = cluster.instances["s0_0_0"]
ddl_check_query(
instance,
"""
CREATE TABLE test_block_size ON CLUSTER shard_0_0 (partition Date, d UInt64)
ENGINE=ReplicatedMergeTree
ORDER BY (d, sipHash64(d)) SAMPLE BY sipHash64(d)""",
2,
)
instance.query(
"INSERT INTO test_block_size SELECT toDate(0) AS partition, number as d FROM system.numbers LIMIT {}".format(
self.rows
)
)
def check(self):
assert TSV(
self.cluster.instances["s1_0_0"].query(
"SELECT count() FROM cluster(cluster1, default, test_block_size)"
)
) == TSV("{}\n".format(self.rows))
instance = cluster.instances["s0_0_0"]
ddl_check_query(instance, "DROP TABLE test_block_size ON CLUSTER shard_0_0", 2)
ddl_check_query(instance, "DROP TABLE test_block_size ON CLUSTER cluster1")
class Task_no_index:
def __init__(self, cluster):
self.cluster = cluster
self.zk_task_path = "/clickhouse-copier/task_no_index_" + generateRandomString(
5
)
self.rows = 1000000
self.container_task_file = "/task_no_index.xml"
for instance_name, _ in cluster.instances.items():
instance = cluster.instances[instance_name]
instance.copy_file_to_container(
os.path.join(CURRENT_TEST_DIR, "./task_no_index.xml"),
self.container_task_file,
)
print(
"Copied task file to container of '{}' instance. Path {}".format(
instance_name, self.container_task_file
)
)
def start(self):
instance = cluster.instances["s0_0_0"]
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instance.query("DROP TABLE IF EXISTS ontime SYNC")
instance.query(
"create table IF NOT EXISTS ontime (Year UInt16, FlightDate String) ENGINE = Memory"
)
instance.query(
"insert into ontime values (2016, 'test6'), (2017, 'test7'), (2018, 'test8')"
)
def check(self):
assert TSV(
self.cluster.instances["s1_1_0"].query("SELECT Year FROM ontime22")
) == TSV("2017\n")
instance = cluster.instances["s0_0_0"]
instance.query("DROP TABLE ontime")
instance = cluster.instances["s1_1_0"]
instance.query("DROP TABLE ontime22")
class Task_no_arg:
def __init__(self, cluster):
self.cluster = cluster
self.zk_task_path = "/clickhouse-copier/task_no_arg"
self.rows = 1000000
self.container_task_file = "/task_no_arg.xml"
for instance_name, _ in cluster.instances.items():
instance = cluster.instances[instance_name]
instance.copy_file_to_container(
os.path.join(CURRENT_TEST_DIR, "./task_no_arg.xml"),
self.container_task_file,
)
print(
"Copied task file to container of '{}' instance. Path {}".format(
instance_name, self.container_task_file
)
)
def start(self):
instance = cluster.instances["s0_0_0"]
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instance.query("DROP TABLE IF EXISTS copier_test1 SYNC")
instance.query(
"create table if not exists copier_test1 (date Date, id UInt32) engine = MergeTree PARTITION BY date ORDER BY date SETTINGS index_granularity = 8192"
)
instance.query("insert into copier_test1 values ('2016-01-01', 10);")
def check(self):
assert TSV(
self.cluster.instances["s1_1_0"].query("SELECT date FROM copier_test1_1")
) == TSV("2016-01-01\n")
instance = cluster.instances["s0_0_0"]
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instance.query("DROP TABLE copier_test1 SYNC")
instance = cluster.instances["s1_1_0"]
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instance.query("DROP TABLE copier_test1_1 SYNC")
class Task_non_partitioned_table:
def __init__(self, cluster):
self.cluster = cluster
self.zk_task_path = "/clickhouse-copier/task_non_partitoned_table"
self.rows = 1000000
self.container_task_file = "/task_non_partitioned_table.xml"
for instance_name, _ in cluster.instances.items():
instance = cluster.instances[instance_name]
instance.copy_file_to_container(
os.path.join(CURRENT_TEST_DIR, "./task_non_partitioned_table.xml"),
self.container_task_file,
)
print(
"Copied task file to container of '{}' instance. Path {}".format(
instance_name, self.container_task_file
)
)
def start(self):
instance = cluster.instances["s0_0_0"]
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instance.query("DROP TABLE IF EXISTS copier_test1 SYNC")
instance.query(
"create table copier_test1 (date Date, id UInt32) engine = MergeTree ORDER BY date SETTINGS index_granularity = 8192"
)
instance.query("insert into copier_test1 values ('2016-01-01', 10);")
def check(self):
assert TSV(
self.cluster.instances["s1_1_0"].query("SELECT date FROM copier_test1_1")
) == TSV("2016-01-01\n")
instance = cluster.instances["s0_0_0"]
instance.query("DROP TABLE copier_test1")
instance = cluster.instances["s1_1_0"]
instance.query("DROP TABLE copier_test1_1")
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class Task_self_copy:
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def __init__(self, cluster):
self.cluster = cluster
self.zk_task_path = "/clickhouse-copier/task_self_copy"
self.container_task_file = "/task_self_copy.xml"
for instance_name, _ in cluster.instances.items():
instance = cluster.instances[instance_name]
instance.copy_file_to_container(
os.path.join(CURRENT_TEST_DIR, "./task_self_copy.xml"),
self.container_task_file,
)
print(
"Copied task file to container of '{}' instance. Path {}".format(
instance_name, self.container_task_file
)
)
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def start(self):
instance = cluster.instances["s0_0_0"]
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instance.query("DROP DATABASE IF EXISTS db1 SYNC")
instance.query("DROP DATABASE IF EXISTS db2 SYNC")
instance.query("CREATE DATABASE IF NOT EXISTS db1;")
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instance.query(
"CREATE TABLE IF NOT EXISTS db1.source_table (`a` Int8, `b` String, `c` Int8) ENGINE = MergeTree PARTITION BY a ORDER BY a SETTINGS index_granularity = 8192"
)
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instance.query("CREATE DATABASE IF NOT EXISTS db2;")
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instance.query(
"CREATE TABLE IF NOT EXISTS db2.destination_table (`a` Int8, `b` String, `c` Int8) ENGINE = MergeTree PARTITION BY a ORDER BY a SETTINGS index_granularity = 8192"
)
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instance.query("INSERT INTO db1.source_table VALUES (1, 'ClickHouse', 1);")
instance.query("INSERT INTO db1.source_table VALUES (2, 'Copier', 2);")
def check(self):
instance = cluster.instances["s0_0_0"]
assert TSV(
instance.query("SELECT * FROM db2.destination_table ORDER BY a")
) == TSV(instance.query("SELECT * FROM db1.source_table ORDER BY a"))
instance = cluster.instances["s0_0_0"]
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instance.query("DROP DATABASE IF EXISTS db1 SYNC")
instance.query("DROP DATABASE IF EXISTS db2 SYNC")
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def execute_task(started_cluster, task, cmd_options):
task.start()
zk = started_cluster.get_kazoo_client("zoo1")
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print("Use ZooKeeper server: {}:{}".format(zk.hosts[0][0], zk.hosts[0][1]))
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try:
zk.delete("/clickhouse-copier", recursive=True)
except kazoo.exceptions.NoNodeError:
print("No node /clickhouse-copier. It is Ok in first test.")
# Run cluster-copier processes on each node
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docker_api = started_cluster.docker_client.api
copiers_exec_ids = []
cmd = [
"/usr/bin/clickhouse",
"copier",
"--config",
"/etc/clickhouse-server/config-copier.xml",
"--task-path",
task.zk_task_path,
"--task-file",
task.container_task_file,
"--task-upload-force",
"true",
"--base-dir",
"/var/log/clickhouse-server/copier",
]
cmd += cmd_options
print(cmd)
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copiers = random.sample(list(started_cluster.instances.keys()), 3)
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for instance_name in copiers:
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instance = started_cluster.instances[instance_name]
container = instance.get_docker_handle()
instance.copy_file_to_container(
os.path.join(CURRENT_TEST_DIR, "configs/config-copier.xml"),
"/etc/clickhouse-server/config-copier.xml",
)
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print("Copied copier config to {}".format(instance.name))
exec_id = docker_api.exec_create(container.id, cmd, stderr=True)
output = docker_api.exec_start(exec_id).decode("utf8")
print(output)
copiers_exec_ids.append(exec_id)
print(
"Copier for {} ({}) has started".format(instance.name, instance.ip_address)
)
# Wait for copiers stopping and check their return codes
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for exec_id, instance_name in zip(copiers_exec_ids, copiers):
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instance = started_cluster.instances[instance_name]
while True:
res = docker_api.exec_inspect(exec_id)
if not res["Running"]:
break
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time.sleep(0.5)
assert res["ExitCode"] == 0, "Instance: {} ({}). Info: {}".format(
instance.name, instance.ip_address, repr(res)
)
try:
task.check()
finally:
zk.delete(task.zk_task_path, recursive=True)
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# Tests
@pytest.mark.parametrize(("use_sample_offset"), [False, True])
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def test_copy_simple(started_cluster, use_sample_offset):
if use_sample_offset:
execute_task(
started_cluster,
Task1(started_cluster),
["--experimental-use-sample-offset", "1"],
)
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else:
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execute_task(started_cluster, Task1(started_cluster), [])
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@pytest.mark.parametrize(("use_sample_offset"), [False, True])
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def test_copy_with_recovering(started_cluster, use_sample_offset):
if use_sample_offset:
execute_task(
started_cluster,
Task1(started_cluster),
[
"--copy-fault-probability",
str(COPYING_FAIL_PROBABILITY),
"--experimental-use-sample-offset",
"1",
"--max-table-tries",
"10",
],
)
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else:
execute_task(
started_cluster,
Task1(started_cluster),
[
"--copy-fault-probability",
str(COPYING_FAIL_PROBABILITY),
"--max-table-tries",
"10",
],
)
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@pytest.mark.parametrize(("use_sample_offset"), [False, True])
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def test_copy_with_recovering_after_move_faults(started_cluster, use_sample_offset):
if use_sample_offset:
execute_task(
started_cluster,
Task1(started_cluster),
[
"--move-fault-probability",
str(MOVING_FAIL_PROBABILITY),
"--experimental-use-sample-offset",
"1",
],
)
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else:
execute_task(
started_cluster,
Task1(started_cluster),
["--move-fault-probability", str(MOVING_FAIL_PROBABILITY)],
)
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@pytest.mark.timeout(600)
def test_copy_month_to_week_partition(started_cluster):
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execute_task(started_cluster, Task2(started_cluster, "test1"), [])
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@pytest.mark.timeout(600)
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def test_copy_month_to_week_partition_with_recovering(started_cluster):
execute_task(
started_cluster,
Task2(started_cluster, "test2"),
[
"--copy-fault-probability",
str(COPYING_FAIL_PROBABILITY),
"--max-table-tries",
"10",
],
)
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@pytest.mark.timeout(600)
def test_copy_month_to_week_partition_with_recovering_after_move_faults(
started_cluster,
):
execute_task(
started_cluster,
Task2(started_cluster, "test3"),
["--move-fault-probability", str(MOVING_FAIL_PROBABILITY)],
)
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def test_block_size(started_cluster):
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execute_task(started_cluster, Task_test_block_size(started_cluster), [])
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def test_no_index(started_cluster):
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execute_task(started_cluster, Task_no_index(started_cluster), [])
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def test_no_arg(started_cluster):
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execute_task(started_cluster, Task_no_arg(started_cluster), [])
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def test_non_partitioned_table(started_cluster):
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execute_task(started_cluster, Task_non_partitioned_table(started_cluster), [])
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def test_self_copy(started_cluster):
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execute_task(started_cluster, Task_self_copy(started_cluster), [])