ClickHouse/tests/integration/test_graphite_merge_tree/test.py

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import datetime
import os.path as p
import time
import pytest
from helpers.client import QueryRuntimeException
from helpers.cluster import ClickHouseCluster
from helpers.test_tools import TSV
from helpers.test_tools import csv_compare
cluster = ClickHouseCluster(__file__)
instance = cluster.add_instance(
"instance",
main_configs=["configs/graphite_rollup.xml"],
user_configs=["configs/users.xml"],
)
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q = instance.query
@pytest.fixture(scope="module")
def started_cluster():
try:
cluster.start()
q("CREATE DATABASE test")
yield cluster
finally:
cluster.shutdown()
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@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)
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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()
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# Insert rows with timestamps relative to the current time so that the
# first retention clause is active.
# Two parts are created.
q(
"""
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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)
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# 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(
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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)
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def test_system_graphite_retentions(graphite_table):
expected = """
graphite_rollup all \\\\.count$ sum 0 0 1 0 ['test'] ['graphite']
graphite_rollup all \\\\.max$ max 0 0 2 0 ['test'] ['graphite']
graphite_rollup all ^five_min\\\\. 31536000 14400 3 0 ['test'] ['graphite']
graphite_rollup all ^five_min\\\\. 5184000 3600 3 0 ['test'] ['graphite']
graphite_rollup all ^five_min\\\\. 0 300 3 0 ['test'] ['graphite']
graphite_rollup all ^one_min avg 31536000 600 4 0 ['test'] ['graphite']
graphite_rollup all ^one_min avg 7776000 300 4 0 ['test'] ['graphite']
graphite_rollup all ^one_min avg 0 60 4 0 ['test'] ['graphite']
"""
result = q("SELECT * from system.graphite_retentions")
mismatch = csv_compare(result, expected)
assert len(mismatch) == 0, f"got\n{result}\nwant\n{expected}\ndiff\n{mismatch}\n"
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
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(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'"
)
)
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if parts == 1:
break
print(("Parts", parts))
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assert TSV(q("SELECT value, timestamp, date, updated FROM test.graphite2")) == TSV(
"0\t0\t2018-01-01\t101\n"
)
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q("DROP TABLE test.graphite2")
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def test_combined_rules(graphite_table):
# 1487970000 ~ Sat 25 Feb 00:00:00 MSK 2017
to_insert = "INSERT INTO test.graphite VALUES "
expected_unmerged = ""
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for i in range(384):
to_insert += "('five_min.count', {v}, {t}, toDate({t}), 1), ".format(
v=1, t=1487970000 + (i * 300)
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)
to_insert += "('five_min.max', {v}, {t}, toDate({t}), 1), ".format(
v=i, t=1487970000 + (i * 300)
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)
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))
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q(to_insert)
assert TSV(
q(
"SELECT metric, value, timestamp FROM test.graphite"
" ORDER BY (timestamp, metric)"
)
) == TSV(expected_unmerged)
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q("OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL")
expected_merged = """
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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
)
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def test_combined_rules_with_default(graphite_table):
q(
"""
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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;
"""
)
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# 1487970000 ~ Sat 25 Feb 00:00:00 MSK 2017
to_insert = "INSERT INTO test.graphite VALUES "
expected_unmerged = ""
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for i in range(100):
to_insert += "('top_level.count', {v}, {t}, toDate({t}), 1), ".format(
v=1, t=1487970000 + (i * 60)
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)
to_insert += "('top_level.max', {v}, {t}, toDate({t}), 1), ".format(
v=i, t=1487970000 + (i * 60)
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)
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))
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q(to_insert)
assert TSV(
q(
"SELECT metric, value, timestamp FROM test.graphite"
" ORDER BY (timestamp, metric)"
)
) == TSV(expected_unmerged)
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q("OPTIMIZE TABLE test.graphite PARTITION 201702 FINAL")
expected_merged = """
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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
)
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def test_broken_partial_rollup(graphite_table):
q(
"""
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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 = """\
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one_min.x1 100 1000000000 2001-09-09 1
zzzzzzzz 100 1000000001 2001-09-09 1
zzzzzzzz 200 1000000001 2001-09-09 2
"""
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q("INSERT INTO test.graphite FORMAT TSV", to_insert)
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expected = """\
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one_min.x1 100 1000000000 2001-09-09 1
zzzzzzzz 200 1000000001 2001-09-09 2
"""
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result = q(
"""
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OPTIMIZE TABLE test.graphite PARTITION 200109 FINAL;
SELECT * FROM test.graphite;
"""
)
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assert TSV(result) == TSV(expected)
def test_wrong_rollup_config(graphite_table):
with pytest.raises(QueryRuntimeException) as exc:
q(
"""
CREATE TABLE test.graphite_not_created
(metric String, value Float64, timestamp UInt32, date Date, updated UInt32)
ENGINE = GraphiteMergeTree('graphite_rollup_wrong_age_precision')
PARTITION BY toYYYYMM(date)
ORDER BY (metric, timestamp)
SETTINGS index_granularity=1;
"""
)
# The order of retentions is not guaranteed
assert "age and precision should only grow up: " in str(exc.value)
assert "36000:600" in str(exc.value)
assert "72000:300" in str(exc.value)