mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-09-20 16:50:48 +00:00
779 lines
25 KiB
Python
779 lines
25 KiB
Python
import random
|
|
import time
|
|
from multiprocessing.dummy import Pool
|
|
import datetime
|
|
|
|
import pytest
|
|
from helpers.client import QueryRuntimeException
|
|
from helpers.cluster import ClickHouseCluster
|
|
|
|
node_options = dict(
|
|
with_zookeeper=True,
|
|
main_configs=[
|
|
"configs/remote_servers.xml",
|
|
"configs/config.d/instant_moves.xml",
|
|
"configs/config.d/part_log.xml",
|
|
"configs/config.d/zookeeper_session_timeout.xml",
|
|
"configs/config.d/storage_configuration.xml",
|
|
],
|
|
tmpfs=["/external:size=200M", "/internal:size=1M"],
|
|
)
|
|
|
|
cluster = ClickHouseCluster(__file__)
|
|
node1 = cluster.add_instance("node1", macros={"shard": 0, "replica": 1}, **node_options)
|
|
node2 = cluster.add_instance("node2", macros={"shard": 0, "replica": 2}, **node_options)
|
|
node3 = cluster.add_instance("node3", macros={"shard": 1, "replica": 1}, **node_options)
|
|
node4 = cluster.add_instance("node4", macros={"shard": 1, "replica": 2}, **node_options)
|
|
nodes = [node1, node2, node3, node4]
|
|
|
|
|
|
@pytest.fixture(scope="module")
|
|
def started_cluster():
|
|
try:
|
|
cluster.start()
|
|
yield cluster
|
|
except Exception as ex:
|
|
print(ex)
|
|
finally:
|
|
cluster.shutdown()
|
|
|
|
|
|
def drop_table(nodes, table_name):
|
|
for node in nodes:
|
|
node.query("DROP TABLE IF EXISTS {} NO DELAY".format(table_name))
|
|
|
|
|
|
def create_table(
|
|
nodes,
|
|
table_name,
|
|
with_storage_policy=False,
|
|
with_time_column=False,
|
|
with_ttl_move=False,
|
|
with_ttl_delete=False,
|
|
):
|
|
extra_columns = ""
|
|
settings = []
|
|
|
|
for node in nodes:
|
|
sql = """
|
|
CREATE TABLE {table_name}
|
|
(
|
|
num UInt32,
|
|
num2 UInt32 DEFAULT num + 1{extra_columns}
|
|
)
|
|
ENGINE = ReplicatedMergeTree('/clickhouse/tables/test/{table_name}', '{replica}')
|
|
ORDER BY num PARTITION BY num % 100
|
|
"""
|
|
if with_ttl_move:
|
|
sql += """
|
|
TTL time + INTERVAL (num2 % 1) SECOND TO DISK 'external'
|
|
"""
|
|
if with_ttl_delete:
|
|
sql += """
|
|
TTL time + INTERVAL (num2 % 1) SECOND DELETE
|
|
"""
|
|
settings.append("merge_with_ttl_timeout = 1")
|
|
|
|
if with_storage_policy:
|
|
settings.append("storage_policy='default_with_external'")
|
|
|
|
if settings:
|
|
sql += """
|
|
SETTINGS {}
|
|
""".format(
|
|
", ".join(settings)
|
|
)
|
|
|
|
if with_time_column:
|
|
extra_columns = """,
|
|
time DateTime
|
|
"""
|
|
node.query(
|
|
sql.format(
|
|
table_name=table_name, replica=node.name, extra_columns=extra_columns
|
|
)
|
|
)
|
|
|
|
|
|
def create_distributed_table(node, table_name):
|
|
sql = """
|
|
CREATE TABLE %(table_name)s_replicated ON CLUSTER test_cluster
|
|
(
|
|
num UInt32,
|
|
num2 UInt32 DEFAULT num + 1
|
|
)
|
|
ENGINE = ReplicatedMergeTree('/clickhouse/tables/test/{shard}/%(table_name)s_replicated', '{replica}')
|
|
ORDER BY num PARTITION BY num %% 100;
|
|
""" % dict(
|
|
table_name=table_name
|
|
)
|
|
node.query(sql)
|
|
sql = """
|
|
CREATE TABLE %(table_name)s ON CLUSTER test_cluster AS %(table_name)s_replicated
|
|
ENGINE = Distributed(test_cluster, default, %(table_name)s_replicated, rand())
|
|
""" % dict(
|
|
table_name=table_name
|
|
)
|
|
node.query(sql)
|
|
|
|
|
|
def drop_distributed_table(node, table_name):
|
|
node.query(
|
|
"DROP TABLE IF EXISTS {} ON CLUSTER test_cluster SYNC".format(table_name)
|
|
)
|
|
node.query(
|
|
"DROP TABLE IF EXISTS {}_replicated ON CLUSTER test_cluster SYNC".format(
|
|
table_name
|
|
)
|
|
)
|
|
time.sleep(1)
|
|
|
|
|
|
def insert(
|
|
node,
|
|
table_name,
|
|
chunk=1000,
|
|
col_names=None,
|
|
iterations=1,
|
|
ignore_exception=False,
|
|
slow=False,
|
|
with_many_parts=False,
|
|
offset=0,
|
|
with_time_column=False,
|
|
):
|
|
if col_names is None:
|
|
col_names = ["num", "num2"]
|
|
for i in range(iterations):
|
|
try:
|
|
query = ["SET max_partitions_per_insert_block = 10000000"]
|
|
if with_many_parts:
|
|
query.append("SET max_insert_block_size = 256")
|
|
if with_time_column:
|
|
query.append(
|
|
"INSERT INTO {table_name} ({col0}, {col1}, time) SELECT number AS {col0}, number + 1 AS {col1}, now() + 10 AS time FROM numbers_mt({chunk})".format(
|
|
table_name=table_name,
|
|
chunk=chunk,
|
|
col0=col_names[0],
|
|
col1=col_names[1],
|
|
)
|
|
)
|
|
elif slow:
|
|
query.append(
|
|
"INSERT INTO {table_name} ({col0}, {col1}) SELECT number + sleepEachRow(0.001) AS {col0}, number + 1 AS {col1} FROM numbers_mt({chunk})".format(
|
|
table_name=table_name,
|
|
chunk=chunk,
|
|
col0=col_names[0],
|
|
col1=col_names[1],
|
|
)
|
|
)
|
|
else:
|
|
query.append(
|
|
"INSERT INTO {table_name} ({col0},{col1}) SELECT number + {offset} AS {col0}, number + 1 + {offset} AS {col1} FROM numbers_mt({chunk})".format(
|
|
table_name=table_name,
|
|
chunk=chunk,
|
|
col0=col_names[0],
|
|
col1=col_names[1],
|
|
offset=str(offset),
|
|
)
|
|
)
|
|
node.query(";\n".join(query))
|
|
except QueryRuntimeException as ex:
|
|
if not ignore_exception:
|
|
raise
|
|
|
|
|
|
def select(
|
|
node,
|
|
table_name,
|
|
col_name="num",
|
|
expected_result=None,
|
|
iterations=1,
|
|
ignore_exception=False,
|
|
slow=False,
|
|
poll=None,
|
|
):
|
|
for i in range(iterations):
|
|
start_time = time.time()
|
|
while True:
|
|
try:
|
|
if slow:
|
|
r = node.query(
|
|
"SELECT count() FROM (SELECT num2, sleepEachRow(0.5) FROM {} WHERE {} % 1000 > 0)".format(
|
|
table_name, col_name
|
|
)
|
|
)
|
|
else:
|
|
r = node.query(
|
|
"SELECT count() FROM {} WHERE {} % 1000 > 0".format(
|
|
table_name, col_name
|
|
)
|
|
)
|
|
if expected_result:
|
|
if (
|
|
r != expected_result
|
|
and poll
|
|
and time.time() - start_time < poll
|
|
):
|
|
continue
|
|
assert r == expected_result
|
|
except QueryRuntimeException as ex:
|
|
if not ignore_exception:
|
|
raise
|
|
break
|
|
|
|
|
|
def rename_column(
|
|
node, table_name, name, new_name, iterations=1, ignore_exception=False
|
|
):
|
|
for i in range(iterations):
|
|
try:
|
|
node.query(
|
|
"ALTER TABLE {table_name} RENAME COLUMN {name} to {new_name}".format(
|
|
table_name=table_name, name=name, new_name=new_name
|
|
)
|
|
)
|
|
except QueryRuntimeException as ex:
|
|
if not ignore_exception:
|
|
raise
|
|
|
|
|
|
def rename_column_on_cluster(
|
|
node, table_name, name, new_name, iterations=1, ignore_exception=False
|
|
):
|
|
for i in range(iterations):
|
|
try:
|
|
node.query(
|
|
"ALTER TABLE {table_name} ON CLUSTER test_cluster RENAME COLUMN {name} to {new_name}".format(
|
|
table_name=table_name, name=name, new_name=new_name
|
|
)
|
|
)
|
|
except QueryRuntimeException as ex:
|
|
if not ignore_exception:
|
|
raise
|
|
|
|
|
|
def alter_move(node, table_name, iterations=1, ignore_exception=False):
|
|
for i in range(iterations):
|
|
move_part = random.randint(0, 99)
|
|
move_volume = "external"
|
|
try:
|
|
node.query(
|
|
"ALTER TABLE {table_name} MOVE PARTITION '{move_part}' TO VOLUME '{move_volume}'".format(
|
|
table_name=table_name, move_part=move_part, move_volume=move_volume
|
|
)
|
|
)
|
|
except QueryRuntimeException as ex:
|
|
if not ignore_exception:
|
|
raise
|
|
|
|
|
|
def test_rename_parallel_same_node(started_cluster):
|
|
table_name = "test_rename_parallel_same_node"
|
|
drop_table(nodes, table_name)
|
|
try:
|
|
create_table(nodes, table_name)
|
|
insert(node1, table_name, 1000)
|
|
|
|
p = Pool(15)
|
|
tasks = []
|
|
for i in range(1):
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node1, table_name, "num2", "foo2", 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node1, table_name, "foo2", "foo3", 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node1, table_name, "foo3", "num2", 5, True)
|
|
)
|
|
)
|
|
for task in tasks:
|
|
task.get(timeout=240)
|
|
|
|
# rename column back to original
|
|
rename_column(node1, table_name, "foo3", "num2", 1, True)
|
|
rename_column(node1, table_name, "foo2", "num2", 1, True)
|
|
|
|
# check that select still works
|
|
select(node1, table_name, "num2", "999\n")
|
|
finally:
|
|
drop_table(nodes, table_name)
|
|
|
|
|
|
def test_rename_parallel(started_cluster):
|
|
table_name = "test_rename_parallel"
|
|
drop_table(nodes, table_name)
|
|
try:
|
|
create_table(nodes, table_name)
|
|
insert(node1, table_name, 1000)
|
|
|
|
p = Pool(15)
|
|
tasks = []
|
|
for i in range(1):
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node1, table_name, "num2", "foo2", 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node2, table_name, "foo2", "foo3", 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node3, table_name, "foo3", "num2", 5, True)
|
|
)
|
|
)
|
|
for task in tasks:
|
|
task.get(timeout=240)
|
|
|
|
# rename column back to original
|
|
rename_column(node1, table_name, "foo3", "num2", 1, True)
|
|
rename_column(node1, table_name, "foo2", "num2", 1, True)
|
|
|
|
# check that select still works
|
|
select(node1, table_name, "num2", "999\n")
|
|
finally:
|
|
drop_table(nodes, table_name)
|
|
|
|
|
|
def test_rename_with_parallel_select(started_cluster):
|
|
table_name = "test_rename_with_parallel_select"
|
|
drop_table(nodes, table_name)
|
|
try:
|
|
create_table(nodes, table_name)
|
|
insert(node1, table_name, 1000)
|
|
|
|
select(node1, table_name, "num2", "999\n", poll=30)
|
|
select(node2, table_name, "num2", "999\n", poll=30)
|
|
select(node3, table_name, "num2", "999\n", poll=30)
|
|
|
|
p = Pool(15)
|
|
tasks = []
|
|
for i in range(1):
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node1, table_name, "num2", "foo2", 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node2, table_name, "foo2", "foo3", 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node3, table_name, "foo3", "num2", 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(select, (node1, table_name, "foo3", "999\n", 5, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(select, (node2, table_name, "num2", "999\n", 5, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(select, (node3, table_name, "foo2", "999\n", 5, True))
|
|
)
|
|
for task in tasks:
|
|
task.get(timeout=240)
|
|
|
|
# rename column back to original name
|
|
rename_column(node1, table_name, "foo3", "num2", 1, True)
|
|
rename_column(node1, table_name, "foo2", "num2", 1, True)
|
|
|
|
# check that select still works
|
|
select(node1, table_name, "num2", "999\n")
|
|
finally:
|
|
drop_table(nodes, table_name)
|
|
|
|
|
|
def test_rename_with_parallel_insert(started_cluster):
|
|
table_name = "test_rename_with_parallel_insert"
|
|
drop_table(nodes, table_name)
|
|
try:
|
|
create_table(nodes, table_name)
|
|
insert(node1, table_name, 1000)
|
|
|
|
p = Pool(15)
|
|
tasks = []
|
|
for i in range(1):
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node1, table_name, "num2", "foo2", 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node2, table_name, "foo2", "foo3", 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column, (node3, table_name, "foo3", "num2", 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
insert, (node1, table_name, 100, ["num", "foo3"], 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
insert, (node2, table_name, 100, ["num", "num2"], 5, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
insert, (node3, table_name, 100, ["num", "foo2"], 5, True)
|
|
)
|
|
)
|
|
for task in tasks:
|
|
task.get(timeout=240)
|
|
|
|
# rename column back to original
|
|
rename_column(node1, table_name, "foo3", "num2", 1, True)
|
|
rename_column(node1, table_name, "foo2", "num2", 1, True)
|
|
|
|
# check that select still works
|
|
select(node1, table_name, "num2")
|
|
finally:
|
|
drop_table(nodes, table_name)
|
|
|
|
|
|
def test_rename_with_parallel_merges(started_cluster):
|
|
table_name = "test_rename_with_parallel_merges"
|
|
drop_table(nodes, table_name)
|
|
try:
|
|
print("Creating tables", datetime.datetime.now())
|
|
create_table(nodes, table_name)
|
|
for i in range(5):
|
|
insert(
|
|
node1,
|
|
table_name,
|
|
100,
|
|
["num", "num2"],
|
|
1,
|
|
False,
|
|
False,
|
|
True,
|
|
offset=i * 100,
|
|
)
|
|
|
|
print("Data inserted", datetime.datetime.now())
|
|
|
|
def merge_parts(node, table_name, iterations=1):
|
|
for _ in range(iterations):
|
|
try:
|
|
node.query("OPTIMIZE TABLE %s FINAL" % table_name)
|
|
except Exception as ex:
|
|
print("Got an exception while optimizing table", ex)
|
|
|
|
print("Creating pool")
|
|
p = Pool(15)
|
|
tasks = []
|
|
tasks.append(
|
|
p.apply_async(rename_column, (node1, table_name, "num2", "foo2", 2, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(rename_column, (node2, table_name, "foo2", "foo3", 2, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(rename_column, (node3, table_name, "foo3", "num2", 2, True))
|
|
)
|
|
tasks.append(p.apply_async(merge_parts, (node1, table_name, 2)))
|
|
tasks.append(p.apply_async(merge_parts, (node2, table_name, 2)))
|
|
tasks.append(p.apply_async(merge_parts, (node3, table_name, 2)))
|
|
|
|
print("Waiting for tasks", datetime.datetime.now())
|
|
for task in tasks:
|
|
task.get(timeout=240)
|
|
print("Finished waiting", datetime.datetime.now())
|
|
|
|
print("Renaming columns", datetime.datetime.now())
|
|
# rename column back to the original name
|
|
rename_column(node1, table_name, "foo3", "num2", 1, True)
|
|
rename_column(node1, table_name, "foo2", "num2", 1, True)
|
|
print("Finished renaming", datetime.datetime.now())
|
|
|
|
# check that select still works
|
|
select(node1, table_name, "num2", "500\n")
|
|
select(node2, table_name, "num2", "500\n")
|
|
select(node3, table_name, "num2", "500\n")
|
|
finally:
|
|
drop_table(nodes, table_name)
|
|
|
|
|
|
def test_rename_with_parallel_slow_insert(started_cluster):
|
|
table_name = "test_rename_with_parallel_slow_insert"
|
|
drop_table(nodes, table_name)
|
|
try:
|
|
create_table(nodes, table_name)
|
|
insert(node1, table_name, 1000)
|
|
|
|
p = Pool(15)
|
|
tasks = []
|
|
tasks.append(
|
|
p.apply_async(
|
|
insert, (node1, table_name, 10000, ["num", "num2"], 1, False, True)
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
insert, (node1, table_name, 10000, ["num", "num2"], 1, True, True)
|
|
)
|
|
) # deduplicated
|
|
time.sleep(0.5)
|
|
tasks.append(p.apply_async(rename_column, (node1, table_name, "num2", "foo2")))
|
|
|
|
for task in tasks:
|
|
task.get(timeout=240)
|
|
|
|
insert(node1, table_name, 100, ["num", "foo2"])
|
|
|
|
# rename column back to original
|
|
rename_column(node1, table_name, "foo2", "num2")
|
|
|
|
# check that select still works
|
|
select(node1, table_name, "num2", "11089\n")
|
|
select(node2, table_name, "num2", "11089\n", poll=30)
|
|
select(node3, table_name, "num2", "11089\n", poll=30)
|
|
finally:
|
|
drop_table(nodes, table_name)
|
|
|
|
|
|
def test_rename_with_parallel_ttl_move(started_cluster):
|
|
table_name = "test_rename_with_parallel_ttl_move"
|
|
try:
|
|
create_table(
|
|
nodes,
|
|
table_name,
|
|
with_storage_policy=True,
|
|
with_time_column=True,
|
|
with_ttl_move=True,
|
|
)
|
|
rename_column(node1, table_name, "time", "time2", 1, False)
|
|
rename_column(node1, table_name, "time2", "time", 1, False)
|
|
|
|
p = Pool(15)
|
|
tasks = []
|
|
|
|
tasks.append(
|
|
p.apply_async(
|
|
insert,
|
|
(
|
|
node1,
|
|
table_name,
|
|
10000,
|
|
["num", "num2"],
|
|
1,
|
|
False,
|
|
False,
|
|
True,
|
|
0,
|
|
True,
|
|
),
|
|
)
|
|
)
|
|
time.sleep(5)
|
|
rename_column(node1, table_name, "time", "time2", 1, False)
|
|
time.sleep(4)
|
|
tasks.append(
|
|
p.apply_async(rename_column, (node1, table_name, "num2", "foo2", 5, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(rename_column, (node2, table_name, "foo2", "foo3", 5, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(rename_column, (node3, table_name, "num3", "num2", 5, True))
|
|
)
|
|
|
|
for task in tasks:
|
|
task.get(timeout=240)
|
|
|
|
# check some parts got moved
|
|
assert "external" in set(
|
|
node1.query(
|
|
"SELECT disk_name FROM system.parts WHERE table == '{}' AND active=1 ORDER BY modification_time".format(
|
|
table_name
|
|
)
|
|
)
|
|
.strip()
|
|
.splitlines()
|
|
)
|
|
|
|
# rename column back to original
|
|
rename_column(node1, table_name, "foo2", "num2", 1, True)
|
|
rename_column(node1, table_name, "foo3", "num2", 1, True)
|
|
|
|
# check that select still works
|
|
select(node1, table_name, "num2", "9990\n")
|
|
finally:
|
|
drop_table(nodes, table_name)
|
|
|
|
|
|
def test_rename_with_parallel_ttl_delete(started_cluster):
|
|
table_name = "test_rename_with_parallel_ttl_delete"
|
|
try:
|
|
create_table(nodes, table_name, with_time_column=True, with_ttl_delete=True)
|
|
rename_column(node1, table_name, "time", "time2", 1, False)
|
|
rename_column(node1, table_name, "time2", "time", 1, False)
|
|
|
|
def merge_parts(node, table_name, iterations=1):
|
|
for i in range(iterations):
|
|
node.query("OPTIMIZE TABLE {}".format(table_name))
|
|
|
|
p = Pool(15)
|
|
tasks = []
|
|
|
|
tasks.append(
|
|
p.apply_async(
|
|
insert,
|
|
(
|
|
node1,
|
|
table_name,
|
|
10000,
|
|
["num", "num2"],
|
|
1,
|
|
False,
|
|
False,
|
|
True,
|
|
0,
|
|
True,
|
|
),
|
|
)
|
|
)
|
|
time.sleep(15)
|
|
tasks.append(
|
|
p.apply_async(rename_column, (node1, table_name, "num2", "foo2", 5, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(rename_column, (node2, table_name, "foo2", "foo3", 5, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(rename_column, (node3, table_name, "num3", "num2", 5, True))
|
|
)
|
|
tasks.append(p.apply_async(merge_parts, (node1, table_name, 3)))
|
|
tasks.append(p.apply_async(merge_parts, (node2, table_name, 3)))
|
|
tasks.append(p.apply_async(merge_parts, (node3, table_name, 3)))
|
|
|
|
for task in tasks:
|
|
task.get(timeout=240)
|
|
|
|
# rename column back to original
|
|
rename_column(node1, table_name, "foo2", "num2", 1, True)
|
|
rename_column(node1, table_name, "foo3", "num2", 1, True)
|
|
|
|
assert (
|
|
int(node1.query("SELECT count() FROM {}".format(table_name)).strip())
|
|
< 10000
|
|
)
|
|
finally:
|
|
drop_table(nodes, table_name)
|
|
|
|
|
|
def test_rename_distributed(started_cluster):
|
|
table_name = "test_rename_distributed"
|
|
try:
|
|
create_distributed_table(node1, table_name)
|
|
insert(node1, table_name, 1000)
|
|
|
|
rename_column_on_cluster(node1, table_name, "num2", "foo2")
|
|
rename_column_on_cluster(node1, "%s_replicated" % table_name, "num2", "foo2")
|
|
|
|
insert(node1, table_name, 1000, col_names=["num", "foo2"])
|
|
|
|
select(node1, table_name, "foo2", "1998\n", poll=30)
|
|
finally:
|
|
drop_distributed_table(node1, table_name)
|
|
|
|
|
|
def test_rename_distributed_parallel_insert_and_select(started_cluster):
|
|
table_name = "test_rename_distributed_parallel_insert_and_select"
|
|
try:
|
|
create_distributed_table(node1, table_name)
|
|
insert(node1, table_name, 1000)
|
|
|
|
p = Pool(15)
|
|
tasks = []
|
|
for i in range(1):
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column_on_cluster,
|
|
(node1, table_name, "num2", "foo2", 3, True),
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column_on_cluster,
|
|
(node1, "%s_replicated" % table_name, "num2", "foo2", 3, True),
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column_on_cluster,
|
|
(node1, table_name, "foo2", "foo3", 3, True),
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column_on_cluster,
|
|
(node1, "%s_replicated" % table_name, "foo2", "foo3", 3, True),
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column_on_cluster,
|
|
(node1, table_name, "foo3", "num2", 3, True),
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(
|
|
rename_column_on_cluster,
|
|
(node1, "%s_replicated" % table_name, "foo3", "num2", 3, True),
|
|
)
|
|
)
|
|
tasks.append(
|
|
p.apply_async(insert, (node1, table_name, 10, ["num", "foo3"], 5, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(insert, (node2, table_name, 10, ["num", "num2"], 5, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(insert, (node3, table_name, 10, ["num", "foo2"], 5, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(select, (node1, table_name, "foo2", None, 5, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(select, (node2, table_name, "foo3", None, 5, True))
|
|
)
|
|
tasks.append(
|
|
p.apply_async(select, (node3, table_name, "num2", None, 5, True))
|
|
)
|
|
for task in tasks:
|
|
task.get(timeout=240)
|
|
|
|
rename_column_on_cluster(node1, table_name, "foo2", "num2", 1, True)
|
|
rename_column_on_cluster(
|
|
node1, "%s_replicated" % table_name, "foo2", "num2", 1, True
|
|
)
|
|
rename_column_on_cluster(node1, table_name, "foo3", "num2", 1, True)
|
|
rename_column_on_cluster(
|
|
node1, "%s_replicated" % table_name, "foo3", "num2", 1, True
|
|
)
|
|
|
|
insert(node1, table_name, 1000, col_names=["num", "num2"])
|
|
select(node1, table_name, "num2")
|
|
select(node2, table_name, "num2")
|
|
select(node3, table_name, "num2")
|
|
select(node4, table_name, "num2")
|
|
finally:
|
|
drop_distributed_table(node1, table_name)
|