ClickHouse/dbms/tests/integration/test_storage_s3/test.py

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import json
import logging
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import pytest
from helpers.cluster import ClickHouseCluster, ClickHouseInstance
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import helpers.client
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logging.getLogger().setLevel(logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler())
# Creates S3 bucket for tests and allows anonymous read-write access to it.
def prepare_s3_bucket(cluster):
minio_client = cluster.minio_client
if minio_client.bucket_exists(cluster.minio_bucket):
minio_client.remove_bucket(cluster.minio_bucket)
minio_client.make_bucket(cluster.minio_bucket)
# Allows read-write access for bucket without authorization.
bucket_read_write_policy = {"Version": "2012-10-17",
"Statement": [
{
"Sid": "",
"Effect": "Allow",
"Principal": {"AWS": "*"},
"Action": "s3:GetBucketLocation",
"Resource": "arn:aws:s3:::root"
},
{
"Sid": "",
"Effect": "Allow",
"Principal": {"AWS": "*"},
"Action": "s3:ListBucket",
"Resource": "arn:aws:s3:::root"
},
{
"Sid": "",
"Effect": "Allow",
"Principal": {"AWS": "*"},
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::root/*"
},
{
"Sid": "",
"Effect": "Allow",
"Principal": {"AWS": "*"},
"Action": "s3:PutObject",
"Resource": "arn:aws:s3:::root/*"
}
]}
minio_client.set_bucket_policy(cluster.minio_bucket, json.dumps(bucket_read_write_policy))
cluster.minio_restricted_bucket = "{}-with-auth".format(cluster.minio_bucket)
if minio_client.bucket_exists(cluster.minio_restricted_bucket):
minio_client.remove_bucket(cluster.minio_restricted_bucket)
minio_client.make_bucket(cluster.minio_restricted_bucket)
# Returns content of given S3 file as string.
def get_s3_file_content(cluster, bucket, filename):
# type: (ClickHouseCluster, str) -> str
data = cluster.minio_client.get_object(bucket, filename)
data_str = ""
for chunk in data.stream():
data_str += chunk
return data_str
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# Returns nginx access log lines.
def get_nginx_access_logs():
handle = open("/nginx/access.log", "r")
data = handle.readlines()
handle.close()
return data
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@pytest.fixture(scope="module")
def cluster():
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try:
cluster = ClickHouseCluster(__file__)
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cluster.add_instance("restricted_dummy", main_configs=["configs/config_for_test_remote_host_filter.xml"], with_minio=True)
cluster.add_instance("dummy", with_minio=True)
logging.info("Starting cluster...")
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cluster.start()
logging.info("Cluster started")
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prepare_s3_bucket(cluster)
logging.info("S3 bucket created")
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yield cluster
finally:
cluster.shutdown()
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def run_query(instance, query, stdin=None, settings=None):
# type: (ClickHouseInstance, str, object, dict) -> str
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logging.info("Running query '{}'...".format(query))
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result = instance.query(query, stdin=stdin, settings=settings)
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logging.info("Query finished")
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return result
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# Test simple put.
@pytest.mark.parametrize("maybe_auth,positive", [
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("", True),
("'minio','minio123',", True),
("'wrongid','wrongkey',", False)
])
def test_put(cluster, maybe_auth, positive):
# type: (ClickHouseCluster) -> None
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bucket = cluster.minio_bucket if not maybe_auth else cluster.minio_restricted_bucket
instance = cluster.instances["dummy"] # type: ClickHouseInstance
table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
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values = "(1, 2, 3), (3, 2, 1), (78, 43, 45)"
values_csv = "1,2,3\n3,2,1\n78,43,45\n"
filename = "test.csv"
put_query = "insert into table function s3('http://{}:{}/{}/{}', {}'CSV', '{}') values {}".format(
cluster.minio_host, cluster.minio_port, bucket, filename, maybe_auth, table_format, values)
try:
run_query(instance, put_query)
except helpers.client.QueryRuntimeException:
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if positive:
raise
else:
assert positive
assert values_csv == get_s3_file_content(cluster, bucket, filename)
# Test put values in CSV format.
@pytest.mark.parametrize("maybe_auth,positive", [
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("", True),
("'minio','minio123',", True),
("'wrongid','wrongkey',", False)
])
def test_put_csv(cluster, maybe_auth, positive):
# type: (ClickHouseCluster) -> None
bucket = cluster.minio_bucket if not maybe_auth else cluster.minio_restricted_bucket
instance = cluster.instances["dummy"] # type: ClickHouseInstance
table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
filename = "test.csv"
put_query = "insert into table function s3('http://{}:{}/{}/{}', {}'CSV', '{}') format CSV".format(
cluster.minio_host, cluster.minio_port, bucket, filename, maybe_auth, table_format)
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csv_data = "8,9,16\n11,18,13\n22,14,2\n"
try:
run_query(instance, put_query, stdin=csv_data)
except helpers.client.QueryRuntimeException:
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if positive:
raise
else:
assert positive
assert csv_data == get_s3_file_content(cluster, bucket, filename)
# Test put and get with S3 server redirect.
def test_put_get_with_redirect(cluster):
# type: (ClickHouseCluster) -> None
bucket = cluster.minio_bucket
instance = cluster.instances["dummy"] # type: ClickHouseInstance
table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
values = "(1, 1, 1), (1, 1, 1), (11, 11, 11)"
values_csv = "1,1,1\n1,1,1\n11,11,11\n"
filename = "test.csv"
query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') values {}".format(
cluster.minio_redirect_host, cluster.minio_redirect_port, bucket, filename, table_format, values)
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run_query(instance, query)
assert values_csv == get_s3_file_content(cluster, bucket, filename)
query = "select *, column1*column2*column3 from s3('http://{}:{}/{}/{}', 'CSV', '{}')".format(
cluster.minio_redirect_host, cluster.minio_redirect_port, bucket, filename, table_format)
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stdout = run_query(instance, query)
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assert list(map(str.split, stdout.splitlines())) == [
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["1", "1", "1", "1"],
["1", "1", "1", "1"],
["11", "11", "11", "1331"],
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]
# Test multipart put.
@pytest.mark.parametrize("maybe_auth,positive", [
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("", True),
# ("'minio','minio123',",True), Redirect with credentials not working with nginx.
("'wrongid','wrongkey',", False)
])
def test_multipart_put(cluster, maybe_auth, positive):
# type: (ClickHouseCluster) -> None
bucket = cluster.minio_bucket if not maybe_auth else cluster.minio_restricted_bucket
instance = cluster.instances["dummy"] # type: ClickHouseInstance
table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
# Minimum size of part is 5 Mb for Minio.
# See: https://github.com/minio/minio/blob/master/docs/minio-limits.md
min_part_size_bytes = 5 * 1024 * 1024
csv_size_bytes = int(min_part_size_bytes * 1.5) # To have 2 parts.
one_line_length = 6 # 3 digits, 2 commas, 1 line separator.
# Generate data having size more than one part
int_data = [[1, 2, 3] for i in range(csv_size_bytes / one_line_length)]
csv_data = "".join(["{},{},{}\n".format(x, y, z) for x, y, z in int_data])
assert len(csv_data) > min_part_size_bytes
filename = "test_multipart.csv"
put_query = "insert into table function s3('http://{}:{}/{}/{}', {}'CSV', '{}') format CSV".format(
cluster.minio_redirect_host, cluster.minio_redirect_port, bucket, filename, maybe_auth, table_format)
try:
run_query(instance, put_query, stdin=csv_data, settings={'s3_min_upload_part_size': min_part_size_bytes})
except helpers.client.QueryRuntimeException:
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if positive:
raise
else:
assert positive
# Use Nginx access logs to count number of parts uploaded to Minio.
nginx_logs = get_nginx_access_logs()
uploaded_parts = filter(lambda log_line: log_line.find(filename) >= 0 and log_line.find("PUT") >= 0, nginx_logs)
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assert len(uploaded_parts) > 1
assert csv_data == get_s3_file_content(cluster, bucket, filename)
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def test_remote_host_filter(cluster):
instance = cluster.instances["restricted_dummy"]
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format = "column1 UInt32, column2 UInt32, column3 UInt32"
query = "select *, column1*column2*column3 from s3('http://{}:{}/{}/test.csv', 'CSV', '{}')".format(
"invalid_host", cluster.minio_port, cluster.minio_bucket, format)
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assert "not allowed in config.xml" in instance.query_and_get_error(query)
other_values = "(1, 1, 1), (1, 1, 1), (11, 11, 11)"
query = "insert into table function s3('http://{}:{}/{}/test.csv', 'CSV', '{}') values {}".format(
"invalid_host", cluster.minio_port, cluster.minio_bucket, format, other_values)
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assert "not allowed in config.xml" in instance.query_and_get_error(query)
@pytest.mark.parametrize("s3_storage_args", [
"''", # 1 arguments
"'','','','','',''" # 6 arguments
])
def test_wrong_s3_syntax(cluster, s3_storage_args):
instance = cluster.instances["dummy"] # type: ClickHouseInstance
expected_err_msg = "Code: 42" # NUMBER_OF_ARGUMENTS_DOESNT_MATCH
query = "create table test_table_s3_syntax (id UInt32) ENGINE = S3({})".format(s3_storage_args)
assert expected_err_msg in instance.query_and_get_error(query)