ClickHouse/tests/integration/test_hive_query/test.py

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import logging
import os
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import time
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import pytest
from helpers.cluster import ClickHouseCluster
from helpers.test_tools import TSV
logging.getLogger().setLevel(logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler())
SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))
@pytest.fixture(scope="module")
def started_cluster():
try:
cluster = ClickHouseCluster(__file__)
cluster.add_instance(
"h0_0_0",
main_configs=["configs/config.xml"],
extra_configs=["configs/hdfs-site.xml"],
with_hive=True,
)
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logging.info("Starting cluster ...")
cluster.start()
yield cluster
finally:
cluster.shutdown()
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def test_create_parquet_table(started_cluster):
logging.info("Start testing creating hive table ...")
node = started_cluster.instances["h0_0_0"]
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test_passed = False
for i in range(10):
node.query("set input_format_parquet_allow_missing_columns = true")
result = node.query(
"""
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DROP TABLE IF EXISTS default.demo_parquet;
CREATE TABLE default.demo_parquet (`id` Nullable(String), `score` Nullable(Int32), `day` Nullable(String)) ENGINE = Hive('thrift://hivetest:9083', 'test', 'demo') PARTITION BY(day)
"""
)
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logging.info("create result {}".format(result))
if result.strip() == "":
test_passed = True
break
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time.sleep(60)
assert test_passed
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def test_create_parquet_table_1(started_cluster):
logging.info("Start testing creating hive table ...")
node = started_cluster.instances["h0_0_0"]
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for i in range(10):
node.query("set input_format_parquet_allow_missing_columns = true")
result = node.query(
"""
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DROP TABLE IF EXISTS default.demo_parquet_parts;
CREATE TABLE default.demo_parquet_parts (`id` Nullable(String), `score` Nullable(Int32), `day` Nullable(String), `hour` String) ENGINE = Hive('thrift://hivetest:9083', 'test', 'parquet_demo') PARTITION BY(day, hour);
"""
)
logging.info("create result {}".format(result))
if result.strip() == "":
test_passed = True
break
time.sleep(60)
assert test_passed
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def test_create_orc_table(started_cluster):
logging.info("Start testing creating hive table ...")
node = started_cluster.instances["h0_0_0"]
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test_passed = False
for i in range(10):
result = node.query(
"""
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DROP TABLE IF EXISTS default.demo_orc;
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CREATE TABLE default.demo_orc (`id` Nullable(String), `score` Nullable(Int32), `day` Nullable(String)) ENGINE = Hive('thrift://hivetest:9083', 'test', 'demo_orc') PARTITION BY(day)
"""
)
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logging.info("create result {}".format(result))
if result.strip() == "":
test_passed = True
break
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time.sleep(60)
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assert test_passed
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def test_create_text_table(started_cluster):
logging.info("Start testing creating hive table ...")
node = started_cluster.instances["h0_0_0"]
result = node.query(
"""
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DROP TABLE IF EXISTS default.demo_text;
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CREATE TABLE default.demo_text (`id` Nullable(String), `score` Nullable(Int32), `day` Nullable(String)) ENGINE = Hive('thrift://hivetest:9083', 'test', 'demo_text') PARTITION BY (tuple())
"""
)
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logging.info("create result {}".format(result))
assert result.strip() == ""
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def test_parquet_groupby(started_cluster):
logging.info("Start testing groupby ...")
node = started_cluster.instances["h0_0_0"]
result = node.query(
"""
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SELECT day, count(*) FROM default.demo_parquet group by day order by day
"""
)
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expected_result = """2021-11-01 1
2021-11-05 2
2021-11-11 1
2021-11-16 2
"""
assert result == expected_result
def test_parquet_in_filter(started_cluster):
logging.info("Start testing groupby ...")
node = started_cluster.instances["h0_0_0"]
result = node.query(
"""
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SELECT count(*) FROM default.demo_parquet_parts where day = '2021-11-05' and hour in ('00')
"""
)
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expected_result = """2
"""
logging.info("query result:{}".format(result))
assert result == expected_result
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def test_orc_groupby(started_cluster):
logging.info("Start testing groupby ...")
node = started_cluster.instances["h0_0_0"]
result = node.query(
"""
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SELECT day, count(*) FROM default.demo_orc group by day order by day
"""
)
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expected_result = """2021-11-01 1
2021-11-05 2
2021-11-11 1
2021-11-16 2
"""
assert result == expected_result
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@pytest.mark.parametrize(
"table,use_local_cache_for_remote_storage,enable_orc_file_minmax_index,enable_orc_stripe_minmax_index",
[
pytest.param(
"demo_orc_no_cache_no_index",
"false",
"false",
"false",
id="demo_orc_no_cache_no_index",
),
pytest.param(
"demo_orc_with_cache_no_index",
"true",
"false",
"false",
id="demo_orc_with_cache_no_index",
),
pytest.param(
"demo_orc_no_cache_file_index",
"false",
"true",
"false",
id="demo_orc_no_cache_file_index",
),
pytest.param(
"demo_orc_with_cache_file_index",
"true",
"true",
"false",
id="demo_orc_with_cache_file_index",
),
pytest.param(
"demo_orc_no_cache_stripe_index",
"false",
"true",
"true",
id="demo_orc_no_cache_stripe_index",
),
pytest.param(
"demo_orc_with_cache_stripe_index",
"true",
"true",
"true",
id="demo_orc_with_cache_stripe_index",
),
],
)
def test_orc_minmax_index(
started_cluster,
table,
use_local_cache_for_remote_storage,
enable_orc_file_minmax_index,
enable_orc_stripe_minmax_index,
):
node = started_cluster.instances["h0_0_0"]
result = node.query(
"""
DROP TABLE IF EXISTS default.{table};
CREATE TABLE default.{table} (`id` Nullable(String), `score` Nullable(Int32), `day` Nullable(String)) ENGINE = Hive('thrift://hivetest:9083', 'test', 'demo_orc') PARTITION BY(day)
SETTINGS enable_orc_file_minmax_index = {enable_orc_file_minmax_index}, enable_orc_stripe_minmax_index = {enable_orc_stripe_minmax_index};
""".format(
table=table,
enable_orc_file_minmax_index=enable_orc_file_minmax_index,
enable_orc_stripe_minmax_index=enable_orc_stripe_minmax_index,
)
)
assert result.strip() == ""
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for i in range(2):
result = node.query(
"""
SELECT day, id, score FROM default.{table} where day >= '2021-11-05' and day <= '2021-11-16' and score >= 15 and score <= 30 order by day, id
SETTINGS use_local_cache_for_remote_storage = {use_local_cache_for_remote_storage}
""".format(
table=table,
use_local_cache_for_remote_storage=use_local_cache_for_remote_storage,
)
)
assert (
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result
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== """2021-11-05 abd 15
2021-11-16 aaa 22
"""
)
@pytest.mark.parametrize(
"table,use_local_cache_for_remote_storage,enable_parquet_rowgroup_minmax_index",
[
pytest.param(
"demo_parquet_no_cache_no_index",
"false",
"false",
id="demo_parquet_no_cache_no_index",
),
pytest.param(
"demo_parquet_with_cache_no_index",
"true",
"false",
id="demo_parquet_with_cache_no_index",
),
pytest.param(
"demo_parquet_no_cache_rowgroup_index",
"false",
"true",
id="demo_parquet_no_cache_rowgroup_index",
),
pytest.param(
"demo_parquet_with_cache_rowgroup_index",
"true",
"true",
id="demo_parquet_with_cache_rowgroup_index",
),
],
)
def test_parquet_minmax_index(
started_cluster,
table,
use_local_cache_for_remote_storage,
enable_parquet_rowgroup_minmax_index,
):
node = started_cluster.instances["h0_0_0"]
result = node.query(
"""
DROP TABLE IF EXISTS default.{table};
CREATE TABLE default.{table} (`id` Nullable(String), `score` Nullable(Int32), `day` Nullable(String)) ENGINE = Hive('thrift://hivetest:9083', 'test', 'demo') PARTITION BY(day)
SETTINGS enable_parquet_rowgroup_minmax_index = {enable_parquet_rowgroup_minmax_index}
""".format(
table=table,
enable_parquet_rowgroup_minmax_index=enable_parquet_rowgroup_minmax_index,
)
)
assert result.strip() == ""
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for i in range(2):
result = node.query(
"""
SELECT day, id, score FROM default.{table} where day >= '2021-11-05' and day <= '2021-11-16' and score >= 15 and score <= 30 order by day, id
SETTINGS use_local_cache_for_remote_storage = {use_local_cache_for_remote_storage}
""".format(
table=table,
use_local_cache_for_remote_storage=use_local_cache_for_remote_storage,
)
)
assert (
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result
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== """2021-11-05 abd 15
2021-11-16 aaa 22
"""
)
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def test_hive_columns_prunning(started_cluster):
logging.info("Start testing groupby ...")
node = started_cluster.instances["h0_0_0"]
result = node.query(
"""
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SELECT count(*) FROM default.demo_parquet_parts where day = '2021-11-05'
"""
)
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expected_result = """4
"""
logging.info("query result:{}".format(result))
assert result == expected_result
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def test_text_count(started_cluster):
node = started_cluster.instances["h0_0_0"]
result = node.query(
"""
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SELECT day, count(*) FROM default.demo_orc group by day order by day SETTINGS format_csv_delimiter = '\x01'
"""
)
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expected_result = """2021-11-01 1
2021-11-05 2
2021-11-11 1
2021-11-16 2
"""
assert result == expected_result
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def test_parquet_groupby_with_cache(started_cluster):
logging.info("Start testing groupby ...")
node = started_cluster.instances["h0_0_0"]
result = node.query(
"""
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SELECT day, count(*) FROM default.demo_parquet group by day order by day
"""
)
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expected_result = """2021-11-01 1
2021-11-05 2
2021-11-11 1
2021-11-16 2
"""
assert result == expected_result
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def test_parquet_groupby_by_hive_function(started_cluster):
logging.info("Start testing groupby ...")
node = started_cluster.instances["h0_0_0"]
result = node.query(
"""
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SELECT day, count(*) FROM hive('thrift://hivetest:9083', 'test', 'demo', '`id` Nullable(String), `score` Nullable(Int32), `day` Nullable(String)', 'day') group by day order by day
"""
)
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expected_result = """2021-11-01 1
2021-11-05 2
2021-11-11 1
2021-11-16 2
"""
assert result == expected_result
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def test_cache_read_bytes(started_cluster):
node = started_cluster.instances["h0_0_0"]
result = node.query(
"""
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CREATE TABLE IF NOT EXISTS default.demo_parquet_1 (`id` Nullable(String), `score` Nullable(Int32), `day` Nullable(String)) ENGINE = Hive('thrift://hivetest:9083', 'test', 'demo') PARTITION BY(day)
"""
)
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test_passed = False
for i in range(10):
result = node.query(
"""
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SELECT day, count(*) FROM default.demo_parquet_1 group by day order by day settings input_format_parquet_allow_missing_columns = true
"""
)
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node.query("system flush logs")
result = node.query(
"select sum(ProfileEvent_ExternalDataSourceLocalCacheReadBytes) from system.metric_log where ProfileEvent_ExternalDataSourceLocalCacheReadBytes > 0"
)
if result.strip() == "0":
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logging.info("ProfileEvent_ExternalDataSourceLocalCacheReadBytes == 0")
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time.sleep(10)
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continue
test_passed = True
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break
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assert test_passed