mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-12-13 09:52:38 +00:00
445 lines
14 KiB
Python
445 lines
14 KiB
Python
import os.path as p
|
|
import time
|
|
import datetime
|
|
import pytest
|
|
|
|
from helpers.cluster import ClickHouseCluster
|
|
from helpers.test_tools import TSV
|
|
|
|
|
|
cluster = ClickHouseCluster(__file__)
|
|
instance = cluster.add_instance('instance',
|
|
main_configs=['configs/graphite_rollup.xml'])
|
|
q = instance.query
|
|
|
|
|
|
@pytest.fixture(scope="module")
|
|
def started_cluster():
|
|
try:
|
|
cluster.start()
|
|
q('CREATE DATABASE test')
|
|
|
|
yield cluster
|
|
|
|
finally:
|
|
cluster.shutdown()
|
|
|
|
|
|
@pytest.fixture
|
|
def graphite_table(started_cluster):
|
|
q('''
|
|
DROP TABLE IF EXISTS test.graphite;
|
|
CREATE TABLE test.graphite
|
|
(metric String, value Float64, timestamp UInt32, date Date, updated UInt32)
|
|
ENGINE = GraphiteMergeTree('graphite_rollup')
|
|
PARTITION BY toYYYYMM(date)
|
|
ORDER BY (metric, timestamp)
|
|
SETTINGS index_granularity=8192;
|
|
''')
|
|
|
|
yield
|
|
|
|
q('DROP TABLE test.graphite')
|
|
|
|
|
|
def test_rollup_versions(graphite_table):
|
|
timestamp = int(time.time())
|
|
rounded_timestamp = timestamp - timestamp % 60
|
|
date = datetime.date.today().isoformat()
|
|
|
|
# Insert rows with timestamps relative to the current time so that the
|
|
# first retention clause is active.
|
|
# Two parts are created.
|
|
q('''
|
|
INSERT INTO test.graphite (metric, value, timestamp, date, updated)
|
|
VALUES ('one_min.x1', 100, {timestamp}, '{date}', 1);
|
|
INSERT INTO test.graphite (metric, value, timestamp, date, updated)
|
|
VALUES ('one_min.x1', 200, {timestamp}, '{date}', 2);
|
|
'''.format(timestamp=timestamp, date=date))
|
|
|
|
expected1 = '''\
|
|
one_min.x1 100 {timestamp} {date} 1
|
|
one_min.x1 200 {timestamp} {date} 2
|
|
'''.format(timestamp=timestamp, date=date)
|
|
|
|
assert TSV(
|
|
q('SELECT * FROM test.graphite ORDER BY updated')
|
|
) == TSV(expected1)
|
|
|
|
q('OPTIMIZE TABLE test.graphite')
|
|
|
|
# After rollup only the row with max version is retained.
|
|
expected2 = '''\
|
|
one_min.x1 200 {timestamp} {date} 2
|
|
'''.format(timestamp=rounded_timestamp, date=date)
|
|
|
|
assert TSV(q('SELECT * FROM test.graphite')) == TSV(expected2)
|
|
|
|
|
|
def test_rollup_aggregation(graphite_table):
|
|
# This query essentially emulates what rollup does.
|
|
result1 = q('''
|
|
SELECT avg(v), max(upd)
|
|
FROM (SELECT timestamp,
|
|
argMax(value, (updated, number)) AS v,
|
|
max(updated) AS upd
|
|
FROM (SELECT 'one_min.x5' AS metric,
|
|
toFloat64(number) AS value,
|
|
toUInt32(1111111111 + intDiv(number, 3)) AS timestamp,
|
|
toDate('2017-02-02') AS date,
|
|
toUInt32(intDiv(number, 2)) AS updated,
|
|
number
|
|
FROM system.numbers LIMIT 1000000)
|
|
WHERE intDiv(timestamp, 600) * 600 = 1111444200
|
|
GROUP BY timestamp)
|
|
''')
|
|
|
|
expected1 = '''\
|
|
999634.9918367347 499999
|
|
'''
|
|
assert TSV(result1) == TSV(expected1)
|
|
|
|
# Timestamp 1111111111 is in sufficiently distant past
|
|
# so that the last retention clause is active.
|
|
result2 = q('''
|
|
INSERT INTO test.graphite
|
|
SELECT 'one_min.x' AS metric,
|
|
toFloat64(number) AS value,
|
|
toUInt32(1111111111 + intDiv(number, 3)) AS timestamp,
|
|
toDate('2017-02-02') AS date, toUInt32(intDiv(number, 2)) AS updated
|
|
FROM (SELECT * FROM system.numbers LIMIT 1000000)
|
|
WHERE intDiv(timestamp, 600) * 600 = 1111444200;
|
|
|
|
OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL;
|
|
|
|
SELECT * FROM test.graphite;
|
|
''')
|
|
|
|
expected2 = '''\
|
|
one_min.x 999634.9918367347 1111444200 2017-02-02 499999
|
|
'''
|
|
|
|
assert TSV(result2) == TSV(expected2)
|
|
|
|
|
|
def test_rollup_aggregation_2(graphite_table):
|
|
result = q('''
|
|
INSERT INTO test.graphite
|
|
SELECT 'one_min.x' AS metric,
|
|
toFloat64(number) AS value,
|
|
toUInt32(1111111111 - intDiv(number, 3)) AS timestamp,
|
|
toDate('2017-02-02') AS date,
|
|
toUInt32(100 - number) AS updated
|
|
FROM (SELECT * FROM system.numbers LIMIT 50);
|
|
|
|
OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL;
|
|
|
|
SELECT * FROM test.graphite;
|
|
''')
|
|
|
|
expected = '''\
|
|
one_min.x 24 1111110600 2017-02-02 100
|
|
'''
|
|
|
|
assert TSV(result) == TSV(expected)
|
|
|
|
|
|
def test_multiple_paths_and_versions(graphite_table):
|
|
result = q('''
|
|
INSERT INTO test.graphite
|
|
SELECT 'one_min.x' AS metric,
|
|
toFloat64(number) AS value,
|
|
toUInt32(1111111111 + intDiv(number, 3) * 600) AS timestamp,
|
|
toDate('2017-02-02') AS date,
|
|
toUInt32(100 - number) AS updated
|
|
FROM (SELECT * FROM system.numbers LIMIT 50);
|
|
|
|
OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL;
|
|
|
|
SELECT * FROM test.graphite;
|
|
|
|
|
|
INSERT INTO test.graphite
|
|
SELECT 'one_min.y' AS metric,
|
|
toFloat64(number) AS value,
|
|
toUInt32(1111111111 + number * 600) AS timestamp,
|
|
toDate('2017-02-02') AS date,
|
|
toUInt32(100 - number) AS updated
|
|
FROM (SELECT * FROM system.numbers LIMIT 50);
|
|
|
|
OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL;
|
|
|
|
SELECT * FROM test.graphite;
|
|
''')
|
|
|
|
with open(p.join(p.dirname(__file__),
|
|
'test_multiple_paths_and_versions.reference')
|
|
) as reference:
|
|
assert TSV(result) == TSV(reference)
|
|
|
|
|
|
def test_multiple_output_blocks(graphite_table):
|
|
MERGED_BLOCK_SIZE = 8192
|
|
|
|
to_insert = ''
|
|
expected = ''
|
|
for i in range(2 * MERGED_BLOCK_SIZE + 1):
|
|
rolled_up_time = 1000000200 + 600 * i
|
|
|
|
for j in range(3):
|
|
cur_time = rolled_up_time + 100 * j
|
|
to_insert += 'one_min.x1 {} {} 2001-09-09 1\n'.format(
|
|
10 * j, cur_time
|
|
)
|
|
to_insert += 'one_min.x1 {} {} 2001-09-09 2\n'.format(
|
|
10 * (j + 1), cur_time
|
|
)
|
|
|
|
expected += 'one_min.x1 20 {} 2001-09-09 2\n'.format(rolled_up_time)
|
|
|
|
q('INSERT INTO test.graphite FORMAT TSV', to_insert)
|
|
|
|
result = q('''
|
|
OPTIMIZE TABLE test.graphite PARTITION 200109 FINAL;
|
|
|
|
SELECT * FROM test.graphite;
|
|
''')
|
|
|
|
assert TSV(result) == TSV(expected)
|
|
|
|
|
|
def test_paths_not_matching_any_pattern(graphite_table):
|
|
to_insert = '''\
|
|
one_min.x1 100 1000000000 2001-09-09 1
|
|
zzzzzzzz 100 1000000001 2001-09-09 1
|
|
zzzzzzzz 200 1000000001 2001-09-09 2
|
|
'''
|
|
|
|
q('INSERT INTO test.graphite FORMAT TSV', to_insert)
|
|
|
|
expected = '''\
|
|
one_min.x1 100 999999600 2001-09-09 1
|
|
zzzzzzzz 200 1000000001 2001-09-09 2
|
|
'''
|
|
|
|
result = q('''
|
|
OPTIMIZE TABLE test.graphite PARTITION 200109 FINAL;
|
|
|
|
SELECT * FROM test.graphite;
|
|
''')
|
|
|
|
assert TSV(result) == TSV(expected)
|
|
|
|
|
|
def test_system_graphite_retentions(graphite_table):
|
|
expected = '''
|
|
graphite_rollup \\\\.count$ sum 0 0 1 0 ['test'] ['graphite']
|
|
graphite_rollup \\\\.max$ max 0 0 2 0 ['test'] ['graphite']
|
|
graphite_rollup ^five_min\\\\. 31536000 14400 3 0 ['test'] ['graphite']
|
|
graphite_rollup ^five_min\\\\. 5184000 3600 3 0 ['test'] ['graphite']
|
|
graphite_rollup ^five_min\\\\. 0 300 3 0 ['test'] ['graphite']
|
|
graphite_rollup ^one_min avg 31536000 600 4 0 ['test'] ['graphite']
|
|
graphite_rollup ^one_min avg 7776000 300 4 0 ['test'] ['graphite']
|
|
graphite_rollup ^one_min avg 0 60 4 0 ['test'] ['graphite']
|
|
'''
|
|
result = q('SELECT * from system.graphite_retentions')
|
|
|
|
assert TSV(result) == TSV(expected)
|
|
|
|
q('''
|
|
DROP TABLE IF EXISTS test.graphite2;
|
|
CREATE TABLE test.graphite2
|
|
(metric String, value Float64, timestamp UInt32, date Date, updated UInt32)
|
|
ENGINE = GraphiteMergeTree('graphite_rollup')
|
|
PARTITION BY toYYYYMM(date)
|
|
ORDER BY (metric, timestamp)
|
|
SETTINGS index_granularity=8192;
|
|
''')
|
|
expected = '''
|
|
graphite_rollup ['test','test'] ['graphite','graphite2']
|
|
graphite_rollup ['test','test'] ['graphite','graphite2']
|
|
graphite_rollup ['test','test'] ['graphite','graphite2']
|
|
graphite_rollup ['test','test'] ['graphite','graphite2']
|
|
graphite_rollup ['test','test'] ['graphite','graphite2']
|
|
graphite_rollup ['test','test'] ['graphite','graphite2']
|
|
graphite_rollup ['test','test'] ['graphite','graphite2']
|
|
graphite_rollup ['test','test'] ['graphite','graphite2']
|
|
'''
|
|
result = q('''
|
|
SELECT
|
|
config_name,
|
|
Tables.database,
|
|
Tables.table
|
|
FROM system.graphite_retentions
|
|
''')
|
|
assert TSV(result) == TSV(expected)
|
|
|
|
|
|
def test_path_dangling_pointer(graphite_table):
|
|
q('''
|
|
DROP TABLE IF EXISTS test.graphite2;
|
|
CREATE TABLE test.graphite2
|
|
(metric String, value Float64, timestamp UInt32, date Date, updated UInt32)
|
|
ENGINE = GraphiteMergeTree('graphite_rollup')
|
|
PARTITION BY toYYYYMM(date)
|
|
ORDER BY (metric, timestamp)
|
|
SETTINGS index_granularity=1;
|
|
''')
|
|
|
|
path = 'abcd' * 4000000 # 16MB
|
|
q('INSERT INTO test.graphite2 FORMAT TSV',
|
|
"{}\t0.0\t0\t2018-01-01\t100\n".format(path))
|
|
q('INSERT INTO test.graphite2 FORMAT TSV',
|
|
"{}\t0.0\t0\t2018-01-01\t101\n".format(path))
|
|
for version in range(10):
|
|
q('INSERT INTO test.graphite2 FORMAT TSV',
|
|
"{}\t0.0\t0\t2018-01-01\t{}\n".format(path, version))
|
|
|
|
while True:
|
|
q('OPTIMIZE TABLE test.graphite2 PARTITION 201801 FINAL')
|
|
parts = int(q("SELECT count() FROM system.parts "
|
|
"WHERE active AND database='test' "
|
|
"AND table='graphite2'"))
|
|
if parts == 1:
|
|
break
|
|
print('Parts', parts)
|
|
|
|
assert TSV(
|
|
q("SELECT value, timestamp, date, updated FROM test.graphite2")
|
|
) == TSV("0\t0\t2018-01-01\t101\n")
|
|
|
|
q('DROP TABLE test.graphite2')
|
|
|
|
|
|
def test_combined_rules(graphite_table):
|
|
# 1487970000 ~ Sat 25 Feb 00:00:00 MSK 2017
|
|
to_insert = 'INSERT INTO test.graphite VALUES '
|
|
expected_unmerged = ''
|
|
for i in range(384):
|
|
to_insert += "('five_min.count', {v}, {t}, toDate({t}), 1), ".format(
|
|
v=1, t=1487970000+(i*300)
|
|
)
|
|
to_insert += "('five_min.max', {v}, {t}, toDate({t}), 1), ".format(
|
|
v=i, t=1487970000+(i*300)
|
|
)
|
|
expected_unmerged += ("five_min.count\t{v1}\t{t}\n"
|
|
"five_min.max\t{v2}\t{t}\n").format(
|
|
v1=1, v2=i,
|
|
t=1487970000+(i*300)
|
|
)
|
|
|
|
q(to_insert)
|
|
assert TSV(q('SELECT metric, value, timestamp FROM test.graphite'
|
|
' ORDER BY (timestamp, metric)')) == TSV(expected_unmerged)
|
|
|
|
q('OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL')
|
|
expected_merged = '''
|
|
five_min.count 48 1487970000 2017-02-25 1
|
|
five_min.count 48 1487984400 2017-02-25 1
|
|
five_min.count 48 1487998800 2017-02-25 1
|
|
five_min.count 48 1488013200 2017-02-25 1
|
|
five_min.count 48 1488027600 2017-02-25 1
|
|
five_min.count 48 1488042000 2017-02-25 1
|
|
five_min.count 48 1488056400 2017-02-26 1
|
|
five_min.count 48 1488070800 2017-02-26 1
|
|
five_min.max 47 1487970000 2017-02-25 1
|
|
five_min.max 95 1487984400 2017-02-25 1
|
|
five_min.max 143 1487998800 2017-02-25 1
|
|
five_min.max 191 1488013200 2017-02-25 1
|
|
five_min.max 239 1488027600 2017-02-25 1
|
|
five_min.max 287 1488042000 2017-02-25 1
|
|
five_min.max 335 1488056400 2017-02-26 1
|
|
five_min.max 383 1488070800 2017-02-26 1
|
|
'''
|
|
assert TSV(q('SELECT * FROM test.graphite'
|
|
' ORDER BY (metric, timestamp)')) == TSV(expected_merged)
|
|
|
|
|
|
def test_combined_rules_with_default(graphite_table):
|
|
q('''
|
|
DROP TABLE IF EXISTS test.graphite;
|
|
CREATE TABLE test.graphite
|
|
(metric String, value Float64, timestamp UInt32, date Date, updated UInt32)
|
|
ENGINE = GraphiteMergeTree('graphite_rollup_with_default')
|
|
PARTITION BY toYYYYMM(date)
|
|
ORDER BY (metric, timestamp)
|
|
SETTINGS index_granularity=1;
|
|
''')
|
|
# 1487970000 ~ Sat 25 Feb 00:00:00 MSK 2017
|
|
to_insert = 'INSERT INTO test.graphite VALUES '
|
|
expected_unmerged = ''
|
|
for i in range(100):
|
|
to_insert += "('top_level.count', {v}, {t}, toDate({t}), 1), ".format(
|
|
v=1, t=1487970000+(i*60)
|
|
)
|
|
to_insert += "('top_level.max', {v}, {t}, toDate({t}), 1), ".format(
|
|
v=i, t=1487970000+(i*60)
|
|
)
|
|
expected_unmerged += ("top_level.count\t{v1}\t{t}\n"
|
|
"top_level.max\t{v2}\t{t}\n").format(
|
|
v1=1, v2=i,
|
|
t=1487970000+(i*60)
|
|
)
|
|
|
|
q(to_insert)
|
|
assert TSV(q('SELECT metric, value, timestamp FROM test.graphite'
|
|
' ORDER BY (timestamp, metric)')) == TSV(expected_unmerged)
|
|
|
|
q('OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL')
|
|
expected_merged = '''
|
|
top_level.count 10 1487970000 2017-02-25 1
|
|
top_level.count 10 1487970600 2017-02-25 1
|
|
top_level.count 10 1487971200 2017-02-25 1
|
|
top_level.count 10 1487971800 2017-02-25 1
|
|
top_level.count 10 1487972400 2017-02-25 1
|
|
top_level.count 10 1487973000 2017-02-25 1
|
|
top_level.count 10 1487973600 2017-02-25 1
|
|
top_level.count 10 1487974200 2017-02-25 1
|
|
top_level.count 10 1487974800 2017-02-25 1
|
|
top_level.count 10 1487975400 2017-02-25 1
|
|
top_level.max 9 1487970000 2017-02-25 1
|
|
top_level.max 19 1487970600 2017-02-25 1
|
|
top_level.max 29 1487971200 2017-02-25 1
|
|
top_level.max 39 1487971800 2017-02-25 1
|
|
top_level.max 49 1487972400 2017-02-25 1
|
|
top_level.max 59 1487973000 2017-02-25 1
|
|
top_level.max 69 1487973600 2017-02-25 1
|
|
top_level.max 79 1487974200 2017-02-25 1
|
|
top_level.max 89 1487974800 2017-02-25 1
|
|
top_level.max 99 1487975400 2017-02-25 1
|
|
'''
|
|
assert TSV(q('SELECT * FROM test.graphite'
|
|
' ORDER BY (metric, timestamp)')) == TSV(expected_merged)
|
|
|
|
|
|
def test_broken_partial_rollup(graphite_table):
|
|
q('''
|
|
DROP TABLE IF EXISTS test.graphite;
|
|
CREATE TABLE test.graphite
|
|
(metric String, value Float64, timestamp UInt32, date Date, updated UInt32)
|
|
ENGINE = GraphiteMergeTree('graphite_rollup_broken')
|
|
PARTITION BY toYYYYMM(date)
|
|
ORDER BY (metric, timestamp)
|
|
SETTINGS index_granularity=1;
|
|
''')
|
|
to_insert = '''\
|
|
one_min.x1 100 1000000000 2001-09-09 1
|
|
zzzzzzzz 100 1000000001 2001-09-09 1
|
|
zzzzzzzz 200 1000000001 2001-09-09 2
|
|
'''
|
|
|
|
q('INSERT INTO test.graphite FORMAT TSV', to_insert)
|
|
|
|
expected = '''\
|
|
one_min.x1 100 1000000000 2001-09-09 1
|
|
zzzzzzzz 200 1000000001 2001-09-09 2
|
|
'''
|
|
|
|
result = q('''
|
|
OPTIMIZE TABLE test.graphite PARTITION 200109 FINAL;
|
|
|
|
SELECT * FROM test.graphite;
|
|
''')
|
|
|
|
assert TSV(result) == TSV(expected)
|