ClickHouse/dbms/tests/integration/test_graphite_merge_tree/test.py

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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'])
@pytest.fixture(scope="module")
def started_cluster():
try:
cluster.start()
instance.query('CREATE DATABASE test')
yield cluster
finally:
cluster.shutdown()
@pytest.fixture
def graphite_table(started_cluster):
instance.query('''
DROP TABLE IF EXISTS test.graphite;
CREATE TABLE test.graphite
(metric String, value Float64, timestamp UInt32, date Date, updated UInt32)
ENGINE = GraphiteMergeTree(date, (metric, timestamp), 8192, 'graphite_rollup');
''')
yield
instance.query('DROP TABLE test.graphite')
def test_rollup_versions(graphite_table):
timestamp = int(time.time())
rounded_timestamp = timestamp - timestamp % 60
date = datetime.date.today().isoformat()
q = instance.query
# 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):
q = instance.query
# 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 = instance.query('''
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 = instance.query('''
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)
instance.query('INSERT INTO test.graphite FORMAT TSV', to_insert)
result = instance.query('''
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
'''
instance.query('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 = instance.query('''
OPTIMIZE TABLE test.graphite PARTITION 200109 FINAL;
SELECT * FROM test.graphite;
''')
assert TSV(result) == TSV(expected)