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217 lines
6.2 KiB
Python
217 lines
6.2 KiB
Python
import os.path as p
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import time
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import datetime
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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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cluster = ClickHouseCluster(__file__)
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instance = cluster.add_instance('instance', main_configs=['configs/graphite_rollup.xml'])
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@pytest.fixture(scope="module")
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def started_cluster():
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try:
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cluster.start()
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instance.query('CREATE DATABASE test')
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yield cluster
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finally:
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cluster.shutdown()
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@pytest.fixture
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def graphite_table(started_cluster):
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instance.query('''
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DROP TABLE IF EXISTS test.graphite;
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CREATE TABLE test.graphite
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(metric String, value Float64, timestamp UInt32, date Date, updated UInt32)
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ENGINE = GraphiteMergeTree(date, (metric, timestamp), 8192, 'graphite_rollup');
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''')
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yield
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instance.query('DROP TABLE test.graphite')
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def test_rollup_versions(graphite_table):
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timestamp = int(time.time())
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rounded_timestamp = timestamp - timestamp % 60
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date = datetime.date.today().isoformat()
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q = instance.query
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# Insert rows with timestamps relative to the current time so that the first retention clause is active.
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# Two parts are created.
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q('''
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INSERT INTO test.graphite (metric, value, timestamp, date, updated) VALUES ('one_min.x1', 100, {timestamp}, '{date}', 1);
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INSERT INTO test.graphite (metric, value, timestamp, date, updated) VALUES ('one_min.x1', 200, {timestamp}, '{date}', 2);
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'''.format(timestamp=timestamp, date=date))
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expected1 = '''\
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one_min.x1 100 {timestamp} {date} 1
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one_min.x1 200 {timestamp} {date} 2
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'''.format(timestamp=timestamp, date=date)
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assert TSV(q('SELECT * FROM test.graphite ORDER BY updated')) == TSV(expected1)
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q('OPTIMIZE TABLE test.graphite')
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# After rollup only the row with max version is retained.
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expected2 = '''\
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one_min.x1 200 {timestamp} {date} 2
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'''.format(timestamp=rounded_timestamp, date=date)
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assert TSV(q('SELECT * FROM test.graphite')) == TSV(expected2)
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def test_rollup_aggregation(graphite_table):
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q = instance.query
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# This query essentially emulates what rollup does.
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result1 = q('''
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SELECT avg(v), max(upd)
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FROM (SELECT timestamp,
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argMax(value, (updated, number)) AS v,
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max(updated) AS upd
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FROM (SELECT 'one_min.x5' AS metric,
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toFloat64(number) AS value,
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toUInt32(1111111111 + intDiv(number, 3)) AS timestamp,
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toDate('2017-02-02') AS date,
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toUInt32(intDiv(number, 2)) AS updated,
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number
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FROM system.numbers LIMIT 1000000)
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WHERE intDiv(timestamp, 600) * 600 = 1111444200
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GROUP BY timestamp)
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''')
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expected1 = '''\
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999634.9918367347 499999
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'''
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assert TSV(result1) == TSV(expected1)
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# Timestamp 1111111111 is in sufficiently distant past so that the last retention clause is active.
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result2 = q('''
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INSERT INTO test.graphite
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SELECT 'one_min.x' AS metric,
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toFloat64(number) AS value,
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toUInt32(1111111111 + intDiv(number, 3)) AS timestamp,
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toDate('2017-02-02') AS date, toUInt32(intDiv(number, 2)) AS updated
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FROM (SELECT * FROM system.numbers LIMIT 1000000)
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WHERE intDiv(timestamp, 600) * 600 = 1111444200;
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OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL;
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SELECT * FROM test.graphite;
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''')
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expected2 = '''\
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one_min.x 999634.9918367347 1111444200 2017-02-02 499999
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'''
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assert TSV(result2) == TSV(expected2)
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def test_rollup_aggregation_2(graphite_table):
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result = instance.query('''
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INSERT INTO test.graphite
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SELECT 'one_min.x' AS metric,
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toFloat64(number) AS value,
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toUInt32(1111111111 - intDiv(number, 3)) AS timestamp,
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toDate('2017-02-02') AS date,
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toUInt32(100 - number) AS updated
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FROM (SELECT * FROM system.numbers LIMIT 50);
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OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL;
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SELECT * FROM test.graphite;
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''')
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expected = '''\
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one_min.x 24 1111110600 2017-02-02 100
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'''
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assert TSV(result) == TSV(expected)
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def test_multiple_paths_and_versions(graphite_table):
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result = instance.query('''
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INSERT INTO test.graphite
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SELECT 'one_min.x' AS metric,
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toFloat64(number) AS value,
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toUInt32(1111111111 + intDiv(number, 3) * 600) AS timestamp,
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toDate('2017-02-02') AS date,
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toUInt32(100 - number) AS updated
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FROM (SELECT * FROM system.numbers LIMIT 50);
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OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL;
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SELECT * FROM test.graphite;
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INSERT INTO test.graphite
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SELECT 'one_min.y' AS metric,
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toFloat64(number) AS value,
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toUInt32(1111111111 + number * 600) AS timestamp,
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toDate('2017-02-02') AS date,
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toUInt32(100 - number) AS updated
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FROM (SELECT * FROM system.numbers LIMIT 50);
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OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL;
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SELECT * FROM test.graphite;
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''')
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with open(p.join(p.dirname(__file__), 'test_multiple_paths_and_versions.reference')) as reference:
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assert TSV(result) == TSV(reference)
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def test_multiple_output_blocks(graphite_table):
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MERGED_BLOCK_SIZE = 8192
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to_insert = ''
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expected = ''
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for i in range(2 * MERGED_BLOCK_SIZE + 1):
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rolled_up_time = 1000000200 + 600 * i
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for j in range(3):
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cur_time = rolled_up_time + 100 * j
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to_insert += 'one_min.x1 {} {} 2001-09-09 1\n'.format(10 * j, cur_time)
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to_insert += 'one_min.x1 {} {} 2001-09-09 2\n'.format(10 * (j + 1), cur_time)
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expected += 'one_min.x1 20 {} 2001-09-09 2\n'.format(rolled_up_time)
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instance.query('INSERT INTO test.graphite FORMAT TSV', to_insert)
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result = instance.query('''
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OPTIMIZE TABLE test.graphite PARTITION 200109 FINAL;
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SELECT * FROM test.graphite;
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''')
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assert TSV(result) == TSV(expected)
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def test_paths_not_matching_any_pattern(graphite_table):
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to_insert = '''\
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one_min.x1 100 1000000000 2001-09-09 1
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zzzzzzzz 100 1000000001 2001-09-09 1
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zzzzzzzz 200 1000000001 2001-09-09 2
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'''
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instance.query('INSERT INTO test.graphite FORMAT TSV', to_insert)
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expected = '''\
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one_min.x1 100 999999600 2001-09-09 1
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zzzzzzzz 200 1000000001 2001-09-09 2
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'''
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result = instance.query('''
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OPTIMIZE TABLE test.graphite PARTITION 200109 FINAL;
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SELECT * FROM test.graphite;
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''')
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assert TSV(result) == TSV(expected)
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