ClickHouse/tests/integration/test_storage_s3/test.py

import gzip
import json
import logging
import os
import io
import random
import threading
import time

import helpers.client
import pytest
from helpers.cluster import ClickHouseCluster, ClickHouseInstance
from helpers.network import PartitionManager
from helpers.test_tools import exec_query_with_retry

MINIO_INTERNAL_PORT = 9001

SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))

# Creates S3 bucket for tests and allows anonymous read-write access to it.
def prepare_s3_bucket(started_cluster):
    # 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 = started_cluster.minio_client
    minio_client.set_bucket_policy(
        started_cluster.minio_bucket, json.dumps(bucket_read_write_policy)
    )

    started_cluster.minio_restricted_bucket = "{}-with-auth".format(
        started_cluster.minio_bucket
    )
    if minio_client.bucket_exists(started_cluster.minio_restricted_bucket):
        minio_client.remove_bucket(started_cluster.minio_restricted_bucket)

    minio_client.make_bucket(started_cluster.minio_restricted_bucket)


def put_s3_file_content(started_cluster, bucket, filename, data):
    buf = io.BytesIO(data)
    started_cluster.minio_client.put_object(bucket, filename, buf, len(data))


# Returns content of given S3 file as string.
def get_s3_file_content(started_cluster, bucket, filename, decode=True):
    # type: (ClickHouseCluster, str, str, bool) -> str

    data = started_cluster.minio_client.get_object(bucket, filename)
    data_str = b""
    for chunk in data.stream():
        data_str += chunk
    if decode:
        return data_str.decode()
    return data_str


@pytest.fixture(scope="module")
def started_cluster():
    try:
        cluster = ClickHouseCluster(__file__)
        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,
            main_configs=[
                "configs/defaultS3.xml",
                "configs/named_collections.xml",
                "configs/schema_cache.xml",
            ],
        )
        cluster.add_instance(
            "s3_max_redirects",
            with_minio=True,
            main_configs=["configs/defaultS3.xml"],
            user_configs=["configs/s3_max_redirects.xml"],
        )
        logging.info("Starting cluster...")
        cluster.start()
        logging.info("Cluster started")

        prepare_s3_bucket(cluster)
        logging.info("S3 bucket created")
        run_s3_mocks(cluster)

        yield cluster
    finally:
        cluster.shutdown()


def run_query(instance, query, stdin=None, settings=None):
    # type: (ClickHouseInstance, str, object, dict) -> str

    logging.info("Running query '{}'...".format(query))
    result = instance.query(query, stdin=stdin, settings=settings)
    logging.info("Query finished")

    return result


# Test simple put. Also checks that wrong credentials produce an error with every compression method.
@pytest.mark.parametrize(
    "maybe_auth,positive,compression",
    [
        pytest.param("", True, "auto", id="positive"),
        pytest.param("'minio','minio123',", True, "auto", id="auth_positive"),
        pytest.param("'wrongid','wrongkey',", False, "auto", id="auto"),
        pytest.param("'wrongid','wrongkey',", False, "gzip", id="gzip"),
        pytest.param("'wrongid','wrongkey',", False, "deflate", id="deflate"),
        pytest.param("'wrongid','wrongkey',", False, "brotli", id="brotli"),
        pytest.param("'wrongid','wrongkey',", False, "xz", id="xz"),
        pytest.param("'wrongid','wrongkey',", False, "zstd", id="zstd"),
    ],
)
def test_put(started_cluster, maybe_auth, positive, compression):
    # type: (ClickHouseCluster) -> None

    bucket = (
        started_cluster.minio_bucket
        if not maybe_auth
        else started_cluster.minio_restricted_bucket
    )
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    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 = f"""insert into table function s3('http://{started_cluster.minio_ip}:{started_cluster.minio_port}/{bucket}/{filename}',
                    {maybe_auth}'CSV', '{table_format}', '{compression}') settings s3_truncate_on_insert=1 values {values}"""

    try:
        run_query(instance, put_query)
    except helpers.client.QueryRuntimeException:
        if positive:
            raise
    else:
        assert positive
        assert values_csv == get_s3_file_content(started_cluster, bucket, filename)


def test_partition_by(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    partition_by = "column3"
    values = "(1, 2, 3), (3, 2, 1), (78, 43, 45)"
    filename = "test_{_partition_id}.csv"
    put_query = f"""INSERT INTO TABLE FUNCTION
        s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'CSV', '{table_format}')
        PARTITION BY {partition_by} VALUES {values}"""

    run_query(instance, put_query)

    assert "1,2,3\n" == get_s3_file_content(started_cluster, bucket, "test_3.csv")
    assert "3,2,1\n" == get_s3_file_content(started_cluster, bucket, "test_1.csv")
    assert "78,43,45\n" == get_s3_file_content(started_cluster, bucket, "test_45.csv")

    filename = "test2_{_partition_id}.csv"
    instance.query(
        f"create table p ({table_format}) engine=S3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'CSV') partition by column3"
    )
    instance.query(f"insert into p values {values}")
    assert "1,2,3\n" == get_s3_file_content(started_cluster, bucket, "test2_3.csv")
    assert "3,2,1\n" == get_s3_file_content(started_cluster, bucket, "test2_1.csv")
    assert "78,43,45\n" == get_s3_file_content(started_cluster, bucket, "test2_45.csv")


def test_partition_by_string_column(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "col_num UInt32, col_str String"
    partition_by = "col_str"
    values = "(1, 'foo/bar'), (3, 'йцук'), (78, '你好')"
    filename = "test_{_partition_id}.csv"
    put_query = f"""INSERT INTO TABLE FUNCTION
        s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'CSV', '{table_format}')
        PARTITION BY {partition_by} VALUES {values}"""

    run_query(instance, put_query)

    assert '1,"foo/bar"\n' == get_s3_file_content(
        started_cluster, bucket, "test_foo/bar.csv"
    )
    assert '3,"йцук"\n' == get_s3_file_content(started_cluster, bucket, "test_йцук.csv")
    assert '78,"你好"\n' == get_s3_file_content(started_cluster, bucket, "test_你好.csv")


def test_partition_by_const_column(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    values = "(1, 2, 3), (3, 2, 1), (78, 43, 45)"
    partition_by = "'88'"
    values_csv = "1,2,3\n3,2,1\n78,43,45\n"
    filename = "test_{_partition_id}.csv"
    put_query = f"""INSERT INTO TABLE FUNCTION
        s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'CSV', '{table_format}')
        PARTITION BY {partition_by} VALUES {values}"""

    run_query(instance, put_query)

    assert values_csv == get_s3_file_content(started_cluster, bucket, "test_88.csv")


@pytest.mark.parametrize("special", ["space", "plus"])
def test_get_file_with_special(started_cluster, special):
    symbol = {"space": " ", "plus": "+"}[special]
    urlsafe_symbol = {"space": "%20", "plus": "%2B"}[special]
    auth = "'minio','minio123',"
    bucket = started_cluster.minio_restricted_bucket
    instance = started_cluster.instances["dummy"]
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    values = [
        [12549, 2463, 19893],
        [64021, 38652, 66703],
        [81611, 39650, 83516],
        [11079, 59507, 61546],
        [51764, 69952, 6876],
        [41165, 90293, 29095],
        [40167, 78432, 48309],
        [81629, 81327, 11855],
        [55852, 21643, 98507],
        [6738, 54643, 41155],
    ]
    values_csv = (
        "\n".join((",".join(map(str, row)) for row in values)) + "\n"
    ).encode()
    filename = f"get_file_with_{special}_{symbol}two.csv"
    put_s3_file_content(started_cluster, bucket, filename, values_csv)

    get_query = f"SELECT * FROM s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/get_file_with_{special}_{urlsafe_symbol}two.csv', {auth}'CSV', '{table_format}') FORMAT TSV"
    assert [
        list(map(int, l.split())) for l in run_query(instance, get_query).splitlines()
    ] == values

    get_query = f"SELECT * FROM s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/get_file_with_{special}*.csv', {auth}'CSV', '{table_format}') FORMAT TSV"
    assert [
        list(map(int, l.split())) for l in run_query(instance, get_query).splitlines()
    ] == values

    get_query = f"SELECT * FROM s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/get_file_with_{special}_{urlsafe_symbol}*.csv', {auth}'CSV', '{table_format}') FORMAT TSV"
    assert [
        list(map(int, l.split())) for l in run_query(instance, get_query).splitlines()
    ] == values


@pytest.mark.parametrize("special", ["space", "plus", "plus2"])
def test_get_path_with_special(started_cluster, special):
    symbol = {"space": "%20", "plus": "%2B", "plus2": "%2B"}[special]
    safe_symbol = {"space": "%20", "plus": "+", "plus2": "%2B"}[special]
    auth = "'minio','minio123',"
    table_format = "column1 String"
    instance = started_cluster.instances["dummy"]
    get_query = f"SELECT * FROM s3('http://resolver:8082/get-my-path/{safe_symbol}.csv', {auth}'CSV', '{table_format}') FORMAT TSV"
    assert run_query(instance, get_query).splitlines() == [f"/{symbol}.csv"]


# Test put no data to S3.
@pytest.mark.parametrize("auth", [pytest.param("'minio','minio123',", id="minio")])
def test_empty_put(started_cluster, auth):
    # type: (ClickHouseCluster, str) -> None

    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"

    drop_empty_table_query = "DROP TABLE IF EXISTS empty_table"
    create_empty_table_query = """
        CREATE TABLE empty_table (
        {}
        ) ENGINE = Null()
    """.format(
        table_format
    )

    run_query(instance, drop_empty_table_query)
    run_query(instance, create_empty_table_query)

    filename = "empty_put_test.csv"
    put_query = "insert into table function s3('http://{}:{}/{}/{}', {}'CSV', '{}') select * from empty_table".format(
        started_cluster.minio_ip,
        MINIO_INTERNAL_PORT,
        bucket,
        filename,
        auth,
        table_format,
    )

    run_query(instance, put_query)

    assert (
        run_query(
            instance,
            "select count(*) from s3('http://{}:{}/{}/{}', {}'CSV', '{}')".format(
                started_cluster.minio_ip,
                MINIO_INTERNAL_PORT,
                bucket,
                filename,
                auth,
                table_format,
            ),
        )
        == "0\n"
    )


# Test put values in CSV format.
@pytest.mark.parametrize(
    "maybe_auth,positive",
    [
        pytest.param("", True, id="positive"),
        pytest.param("'minio','minio123',", True, id="auth_positive"),
        pytest.param("'wrongid','wrongkey',", False, id="negative"),
    ],
)
def test_put_csv(started_cluster, maybe_auth, positive):
    # type: (ClickHouseCluster, bool, str) -> None

    bucket = (
        started_cluster.minio_bucket
        if not maybe_auth
        else started_cluster.minio_restricted_bucket
    )
    instance = started_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', '{}') settings s3_truncate_on_insert=1 format CSV".format(
        started_cluster.minio_ip,
        MINIO_INTERNAL_PORT,
        bucket,
        filename,
        maybe_auth,
        table_format,
    )
    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:
        if positive:
            raise
    else:
        assert positive
        assert csv_data == get_s3_file_content(started_cluster, bucket, filename)


# Test put and get with S3 server redirect.
def test_put_get_with_redirect(started_cluster):
    # type: (ClickHouseCluster) -> None

    bucket = started_cluster.minio_bucket
    instance = started_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', '{}') settings s3_truncate_on_insert=1 values {}".format(
        started_cluster.minio_redirect_host,
        started_cluster.minio_redirect_port,
        bucket,
        filename,
        table_format,
        values,
    )
    run_query(instance, query)

    assert values_csv == get_s3_file_content(started_cluster, bucket, filename)

    query = "select *, column1*column2*column3 from s3('http://{}:{}/{}/{}', 'CSV', '{}')".format(
        started_cluster.minio_redirect_host,
        started_cluster.minio_redirect_port,
        bucket,
        filename,
        table_format,
    )
    stdout = run_query(instance, query)

    assert list(map(str.split, stdout.splitlines())) == [
        ["1", "1", "1", "1"],
        ["1", "1", "1", "1"],
        ["11", "11", "11", "1331"],
    ]


# Test put with restricted S3 server redirect.
def test_put_with_zero_redirect(started_cluster):
    # type: (ClickHouseCluster) -> None

    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["s3_max_redirects"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    values = "(1, 1, 1), (1, 1, 1), (11, 11, 11)"
    filename = "test.csv"

    # Should work without redirect
    query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') settings s3_truncate_on_insert=1 values {}".format(
        started_cluster.minio_ip,
        MINIO_INTERNAL_PORT,
        bucket,
        filename,
        table_format,
        values,
    )
    run_query(instance, query)

    # Should not work with redirect
    query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') settings s3_truncate_on_insert=1 values {}".format(
        started_cluster.minio_redirect_host,
        started_cluster.minio_redirect_port,
        bucket,
        filename,
        table_format,
        values,
    )
    exception_raised = False
    try:
        run_query(instance, query)
    except Exception as e:
        assert str(e).find("Too many redirects while trying to access") != -1
        exception_raised = True
    finally:
        assert exception_raised


def test_put_get_with_globs(started_cluster):
    # type: (ClickHouseCluster) -> None
    unique_prefix = random.randint(1, 10000)
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    max_path = ""
    for i in range(10):
        for j in range(10):
            path = "{}/{}_{}/{}.csv".format(
                unique_prefix, i, random.choice(["a", "b", "c", "d"]), j
            )
            max_path = max(path, max_path)
            values = "({},{},{})".format(i, j, i + j)
            query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') values {}".format(
                started_cluster.minio_ip,
                MINIO_INTERNAL_PORT,
                bucket,
                path,
                table_format,
                values,
            )
            run_query(instance, query)

    query = "select sum(column1), sum(column2), sum(column3), min(_file), max(_path) from s3('http://{}:{}/{}/{}/*_{{a,b,c,d}}/%3f.csv', 'CSV', '{}')".format(
        started_cluster.minio_redirect_host,
        started_cluster.minio_redirect_port,
        bucket,
        unique_prefix,
        table_format,
    )
    assert run_query(instance, query).splitlines() == [
        "450\t450\t900\t0.csv\t{bucket}/{max_path}".format(
            bucket=bucket, max_path=max_path
        )
    ]

    minio = started_cluster.minio_client
    for obj in list(
        minio.list_objects(
            started_cluster.minio_bucket,
            prefix="{}/".format(unique_prefix),
            recursive=True,
        )
    ):
        minio.remove_object(started_cluster.minio_bucket, obj.object_name)


# Test multipart put.
@pytest.mark.parametrize(
    "maybe_auth,positive",
    [
        pytest.param("", True, id="positive"),
        pytest.param("'wrongid','wrongkey'", False, id="negative"),
        # ("'minio','minio123',",True), Redirect with credentials not working with nginx.
    ],
)
def test_multipart(started_cluster, maybe_auth, positive):
    # type: (ClickHouseCluster) -> None

    bucket = (
        started_cluster.minio_bucket
        if not maybe_auth
        else started_cluster.minio_restricted_bucket
    )
    instance = started_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.

    total_rows = csv_size_bytes // one_line_length
    # Generate data having size more than one part
    int_data = [[1, 2, 3] for i in range(total_rows)]
    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(
        started_cluster.minio_redirect_host,
        started_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,
                "s3_max_single_part_upload_size": 0,
            },
        )
    except helpers.client.QueryRuntimeException:
        if positive:
            raise
    else:
        assert positive

        # Use proxy access logs to count number of parts uploaded to Minio.
        proxy_logs = started_cluster.get_container_logs("proxy1")  # type: str
        assert proxy_logs.count("PUT /{}/{}".format(bucket, filename)) >= 2

        assert csv_data == get_s3_file_content(started_cluster, bucket, filename)

    # select uploaded data from many threads
    select_query = (
        "select sum(column1), sum(column2), sum(column3) "
        "from s3('http://{host}:{port}/{bucket}/{filename}', {auth}'CSV', '{table_format}')".format(
            host=started_cluster.minio_redirect_host,
            port=started_cluster.minio_redirect_port,
            bucket=bucket,
            filename=filename,
            auth=maybe_auth,
            table_format=table_format,
        )
    )
    try:
        select_result = run_query(
            instance,
            select_query,
            settings={
                "max_download_threads": random.randint(4, 16),
                "max_download_buffer_size": 1024 * 1024,
            },
        )
    except helpers.client.QueryRuntimeException:
        if positive:
            raise
    else:
        assert positive
        assert (
            select_result
            == "\t".join(map(str, [total_rows, total_rows * 2, total_rows * 3])) + "\n"
        )


def test_remote_host_filter(started_cluster):
    instance = started_cluster.instances["restricted_dummy"]
    format = "column1 UInt32, column2 UInt32, column3 UInt32"

    query = "select *, column1*column2*column3 from s3('http://{}:{}/{}/test.csv', 'CSV', '{}')".format(
        "invalid_host", MINIO_INTERNAL_PORT, started_cluster.minio_bucket, format
    )
    assert "not allowed in configuration file" 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",
        MINIO_INTERNAL_PORT,
        started_cluster.minio_bucket,
        format,
        other_values,
    )
    assert "not allowed in configuration file" in instance.query_and_get_error(query)


def test_wrong_s3_syntax(started_cluster):
    instance = started_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('', '', '', '', '', '')"
    assert expected_err_msg in instance.query_and_get_error(query)

    expected_err_msg = "Code: 36"  # BAD_ARGUMENTS

    query = "create table test_table_s3_syntax (id UInt32) ENGINE = S3('')"
    assert expected_err_msg in instance.query_and_get_error(query)


# https://en.wikipedia.org/wiki/One_Thousand_and_One_Nights
def test_s3_glob_scheherazade(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    max_path = ""
    values = "(1, 1, 1)"
    nights_per_job = 1001 // 30
    jobs = []
    for night in range(0, 1001, nights_per_job):

        def add_tales(start, end):
            for i in range(start, end):
                path = "night_{}/tale.csv".format(i)
                query = "insert into table function s3('http://{}:{}/{}/{}', 'CSV', '{}') values {}".format(
                    started_cluster.minio_ip,
                    MINIO_INTERNAL_PORT,
                    bucket,
                    path,
                    table_format,
                    values,
                )
                run_query(instance, query)

        jobs.append(
            threading.Thread(
                target=add_tales, args=(night, min(night + nights_per_job, 1001))
            )
        )
        jobs[-1].start()

    for job in jobs:
        job.join()

    query = "select count(), sum(column1), sum(column2), sum(column3) from s3('http://{}:{}/{}/night_*/tale.csv', 'CSV', '{}')".format(
        started_cluster.minio_redirect_host,
        started_cluster.minio_redirect_port,
        bucket,
        table_format,
    )
    assert run_query(instance, query).splitlines() == ["1001\t1001\t1001\t1001"]


def run_s3_mocks(started_cluster):
    logging.info("Starting s3 mocks")
    mocks = (
        ("mock_s3.py", "resolver", "8080"),
        ("unstable_server.py", "resolver", "8081"),
        ("echo.py", "resolver", "8082"),
    )
    for mock_filename, container, port in mocks:
        container_id = started_cluster.get_container_id(container)
        current_dir = os.path.dirname(__file__)
        started_cluster.copy_file_to_container(
            container_id,
            os.path.join(current_dir, "s3_mocks", mock_filename),
            mock_filename,
        )
        started_cluster.exec_in_container(
            container_id, ["python", mock_filename, port], detach=True
        )

    # Wait for S3 mocks to start
    for mock_filename, container, port in mocks:
        num_attempts = 100
        for attempt in range(num_attempts):
            ping_response = started_cluster.exec_in_container(
                started_cluster.get_container_id(container),
                ["curl", "-s", f"http://localhost:{port}/"],
                nothrow=True,
            )
            if ping_response != "OK":
                if attempt == num_attempts - 1:
                    assert ping_response == "OK", 'Expected "OK", but got "{}"'.format(
                        ping_response
                    )
                else:
                    time.sleep(1)
            else:
                logging.debug(
                    f"mock {mock_filename} ({port}) answered {ping_response} on attempt {attempt}"
                )
                break

    logging.info("S3 mocks started")


def replace_config(path, old, new):
    config = open(path, "r")
    config_lines = config.readlines()
    config.close()
    config_lines = [line.replace(old, new) for line in config_lines]
    config = open(path, "w")
    config.writelines(config_lines)
    config.close()


def test_custom_auth_headers(started_cluster):
    config_path = os.path.join(
        SCRIPT_DIR,
        "./{}/dummy/configs/config.d/defaultS3.xml".format(
            started_cluster.instances_dir_name
        ),
    )

    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    filename = "test.csv"
    get_query = "select * from s3('http://resolver:8080/{bucket}/{file}', 'CSV', '{table_format}')".format(
        bucket=started_cluster.minio_restricted_bucket,
        file=filename,
        table_format=table_format,
    )

    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    result = run_query(instance, get_query)
    assert result == "1\t2\t3\n"

    instance.query("DROP TABLE IF EXISTS test")
    instance.query(
        "CREATE TABLE test ({table_format}) ENGINE = S3('http://resolver:8080/{bucket}/{file}', 'CSV')".format(
            bucket=started_cluster.minio_restricted_bucket,
            file=filename,
            table_format=table_format,
        )
    )
    assert run_query(instance, "SELECT * FROM test") == "1\t2\t3\n"

    replace_config(
        config_path,
        "<header>Authorization: Bearer TOKEN",
        "<header>Authorization: Bearer INVALID_TOKEN",
    )
    instance.query("SYSTEM RELOAD CONFIG")
    ret, err = instance.query_and_get_answer_with_error("SELECT * FROM test")
    assert ret == "" and err != ""
    replace_config(
        config_path,
        "<header>Authorization: Bearer INVALID_TOKEN",
        "<header>Authorization: Bearer TOKEN",
    )
    instance.query("SYSTEM RELOAD CONFIG")
    assert run_query(instance, "SELECT * FROM test") == "1\t2\t3\n"
    instance.query("DROP TABLE test")


def test_custom_auth_headers_exclusion(started_cluster):
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    filename = "test.csv"
    get_query = f"SELECT * FROM s3('http://resolver:8080/{started_cluster.minio_restricted_bucket}/restricteddirectory/{filename}', 'CSV', '{table_format}')"

    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    with pytest.raises(helpers.client.QueryRuntimeException) as ei:
        result = run_query(instance, get_query)
        print(result)

    assert ei.value.returncode == 243
    assert "Forbidden Error" in ei.value.stderr


def test_infinite_redirect(started_cluster):
    bucket = "redirected"
    table_format = "column1 UInt32, column2 UInt32, column3 UInt32"
    filename = "test.csv"
    get_query = f"select * from s3('http://resolver:{started_cluster.minio_redirect_port}/{bucket}/{filename}', 'CSV', '{table_format}')"
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    exception_raised = False
    try:
        run_query(instance, get_query)
    except Exception as e:
        assert str(e).find("Too many redirects while trying to access") != -1
        exception_raised = True
    finally:
        assert exception_raised


@pytest.mark.parametrize(
    "extension,method",
    [pytest.param("bin", "gzip", id="bin"), pytest.param("gz", "auto", id="gz")],
)
def test_storage_s3_get_gzip(started_cluster, extension, method):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]
    filename = f"test_get_gzip.{extension}"
    name = f"test_get_gzip_{extension}"
    data = [
        "Sophia Intrieri,55",
        "Jack Taylor,71",
        "Christopher Silva,66",
        "Clifton Purser,35",
        "Richard Aceuedo,43",
        "Lisa Hensley,31",
        "Alice Wehrley,1",
        "Mary Farmer,47",
        "Samara Ramirez,19",
        "Shirley Lloyd,51",
        "Santos Cowger,0",
        "Richard Mundt,88",
        "Jerry Gonzalez,15",
        "Angela James,10",
        "Norman Ortega,33",
        "",
    ]
    run_query(instance, f"DROP TABLE IF EXISTS {name}")

    buf = io.BytesIO()
    compressed = gzip.GzipFile(fileobj=buf, mode="wb")
    compressed.write(("\n".join(data)).encode())
    compressed.close()
    put_s3_file_content(started_cluster, bucket, filename, buf.getvalue())

    run_query(
        instance,
        f"""CREATE TABLE {name} (name String, id UInt32) ENGINE = S3(
                                'http://{started_cluster.minio_ip}:{MINIO_INTERNAL_PORT}/{bucket}/{filename}',
                                'CSV',
                                '{method}')""",
    )

    run_query(instance, f"SELECT sum(id) FROM {name}").splitlines() == ["565"]
    run_query(instance, f"DROP TABLE {name}")


def test_storage_s3_get_unstable(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]
    table_format = "column1 Int64, column2 Int64, column3 Int64, column4 Int64"
    get_query = f"SELECT count(), sum(column3), sum(column4) FROM s3('http://resolver:8081/{started_cluster.minio_bucket}/test.csv', 'CSV', '{table_format}') FORMAT CSV"
    result = run_query(instance, get_query)
    assert result.splitlines() == ["500001,500000,0"]


def test_storage_s3_put_uncompressed(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]
    filename = "test_put_uncompressed.bin"
    name = "test_put_uncompressed"
    data = [
        "'Gloria Thompson',99",
        "'Matthew Tang',98",
        "'Patsy Anderson',23",
        "'Nancy Badillo',93",
        "'Roy Hunt',5",
        "'Adam Kirk',51",
        "'Joshua Douds',28",
        "'Jolene Ryan',0",
        "'Roxanne Padilla',50",
        "'Howard Roberts',41",
        "'Ricardo Broughton',13",
        "'Roland Speer',83",
        "'Cathy Cohan',58",
        "'Kathie Dawson',100",
        "'Gregg Mcquistion',11",
    ]
    run_query(
        instance,
        "CREATE TABLE {} (name String, id UInt32) ENGINE = S3('http://{}:{}/{}/{}', 'CSV')".format(
            name, started_cluster.minio_ip, MINIO_INTERNAL_PORT, bucket, filename
        ),
    )

    run_query(instance, "INSERT INTO {} VALUES ({})".format(name, "),(".join(data)))

    run_query(instance, "SELECT sum(id) FROM {}".format(name)).splitlines() == ["753"]

    uncompressed_content = get_s3_file_content(started_cluster, bucket, filename)
    assert sum([int(i.split(",")[1]) for i in uncompressed_content.splitlines()]) == 753


@pytest.mark.parametrize(
    "extension,method",
    [pytest.param("bin", "gzip", id="bin"), pytest.param("gz", "auto", id="gz")],
)
def test_storage_s3_put_gzip(started_cluster, extension, method):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]
    filename = f"test_put_gzip.{extension}"
    name = f"test_put_gzip_{extension}"
    data = [
        "'Joseph Tomlinson',5",
        "'Earnest Essary',44",
        "'Matha Pannell',24",
        "'Michael Shavers',46",
        "'Elias Groce',38",
        "'Pamela Bramlet',50",
        "'Lewis Harrell',49",
        "'Tamara Fyall',58",
        "'George Dixon',38",
        "'Alice Walls',49",
        "'Paula Mais',24",
        "'Myrtle Pelt',93",
        "'Sylvia Naffziger',18",
        "'Amanda Cave',83",
        "'Yolanda Joseph',89",
    ]
    run_query(
        instance,
        f"""CREATE TABLE {name} (name String, id UInt32) ENGINE = S3(
                                'http://{started_cluster.minio_ip}:{MINIO_INTERNAL_PORT}/{bucket}/{filename}',
                                'CSV',
                                '{method}')""",
    )

    run_query(instance, f"INSERT INTO {name} VALUES ({'),('.join(data)})")

    run_query(instance, f"SELECT sum(id) FROM {name}").splitlines() == ["708"]

    buf = io.BytesIO(
        get_s3_file_content(started_cluster, bucket, filename, decode=False)
    )
    f = gzip.GzipFile(fileobj=buf, mode="rb")
    uncompressed_content = f.read().decode()
    assert sum([int(i.split(",")[1]) for i in uncompressed_content.splitlines()]) == 708


def test_truncate_table(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    name = "truncate"

    instance.query(
        "CREATE TABLE {} (id UInt32) ENGINE = S3('http://{}:{}/{}/{}', 'CSV')".format(
            name, started_cluster.minio_ip, MINIO_INTERNAL_PORT, bucket, name
        )
    )

    instance.query("INSERT INTO {} SELECT number FROM numbers(10)".format(name))
    result = instance.query("SELECT * FROM {}".format(name))
    assert result == instance.query("SELECT number FROM numbers(10)")
    instance.query("TRUNCATE TABLE {}".format(name))

    minio = started_cluster.minio_client
    timeout = 30
    while timeout > 0:
        if (
            len(list(minio.list_objects(started_cluster.minio_bucket, "truncate/")))
            == 0
        ):
            return
        timeout -= 1
        time.sleep(1)
    assert len(list(minio.list_objects(started_cluster.minio_bucket, "truncate/"))) == 0
    assert instance.query("SELECT * FROM {}".format(name)) == ""


def test_predefined_connection_configuration(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance
    name = "test_table"

    instance.query("drop table if exists {}".format(name))
    instance.query(
        "CREATE TABLE {} (id UInt32) ENGINE = S3(s3_conf1, format='CSV')".format(name)
    )

    instance.query("INSERT INTO {} SELECT number FROM numbers(10)".format(name))
    result = instance.query("SELECT * FROM {}".format(name))
    assert result == instance.query("SELECT number FROM numbers(10)")

    result = instance.query(
        "SELECT * FROM s3(s3_conf1, format='CSV', structure='id UInt32')"
    )
    assert result == instance.query("SELECT number FROM numbers(10)")


result = ""


def test_url_reconnect_in_the_middle(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]
    table_format = "id String, data String"
    filename = "test_url_reconnect_{}.tsv".format(random.randint(0, 1000))

    instance.query(
        f"""insert into table function
                   s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'TSV', '{table_format}')
                   select number, randomPrintableASCII(number % 1000) from numbers(1000000)"""
    )

    with PartitionManager() as pm:
        pm_rule_reject = {
            "probability": 0.02,
            "destination": instance.ip_address,
            "source_port": started_cluster.minio_port,
            "action": "REJECT --reject-with tcp-reset",
        }
        pm_rule_drop_all = {
            "destination": instance.ip_address,
            "source_port": started_cluster.minio_port,
            "action": "DROP",
        }
        pm._add_rule(pm_rule_reject)

        def select():
            global result
            result = instance.query(
                f"""select sum(cityHash64(x)) from (select toUInt64(id) + sleep(0.1) as x from
                url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{filename}', 'TSV', '{table_format}')
                settings http_max_tries = 10, http_retry_max_backoff_ms=2000, http_send_timeout=1, http_receive_timeout=1)"""
            )
            assert int(result) == 3914219105369203805

        thread = threading.Thread(target=select)
        thread.start()
        time.sleep(4)
        pm._add_rule(pm_rule_drop_all)

        time.sleep(2)
        pm._delete_rule(pm_rule_drop_all)
        pm._delete_rule(pm_rule_reject)

        thread.join()

        assert int(result) == 3914219105369203805


def test_seekable_formats(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance

    table_function = f"s3(s3_parquet, structure='a Int32, b String', format='Parquet')"
    exec_query_with_retry(
        instance,
        f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(1000000) settings s3_truncate_on_insert=1",
    )

    result = instance.query(f"SELECT count() FROM {table_function}")
    assert int(result) == 1000000

    table_function = f"s3(s3_orc, structure='a Int32, b String', format='ORC')"
    exec_query_with_retry(
        instance,
        f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(1000000) settings s3_truncate_on_insert=1",
    )

    result = instance.query(
        f"SELECT count() FROM {table_function} SETTINGS max_memory_usage='50M'"
    )
    assert int(result) == 1000000

    instance.query(f"SELECT * FROM {table_function} FORMAT Null")

    instance.query("SYSTEM FLUSH LOGS")
    result = instance.query(
        f"SELECT formatReadableSize(ProfileEvents['ReadBufferFromS3Bytes']) FROM system.query_log WHERE startsWith(query, 'SELECT * FROM s3') AND memory_usage > 0 AND type='QueryFinish' ORDER BY event_time_microseconds DESC LIMIT 1"
    )
    result = result.strip()
    assert result.endswith("MiB")
    result = result[: result.index(".")]
    assert int(result) > 80


def test_seekable_formats_url(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]  # type: ClickHouseInstance

    table_function = f"s3(s3_parquet, structure='a Int32, b String', format='Parquet')"
    exec_query_with_retry(
        instance,
        f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(1000000) settings s3_truncate_on_insert=1",
    )

    result = instance.query(f"SELECT count() FROM {table_function}")
    assert int(result) == 1000000

    table_function = f"s3(s3_orc, structure='a Int32, b String', format='ORC')"
    exec_query_with_retry(
        instance,
        f"insert into table function {table_function} SELECT number, randomString(100) FROM numbers(1000000) settings s3_truncate_on_insert=1",
    )

    table_function = f"url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_parquet', 'Parquet', 'a Int32, b String')"
    result = instance.query(
        f"SELECT count() FROM {table_function} SETTINGS max_memory_usage='50M'"
    )
    assert int(result) == 1000000


def test_empty_file(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    name = "empty"
    url = f"http://{started_cluster.minio_ip}:{MINIO_INTERNAL_PORT}/{bucket}/{name}"

    minio = started_cluster.minio_client
    minio.put_object(bucket, name, io.BytesIO(b""), 0)

    table_function = f"s3('{url}', 'CSV', 'id Int32')"
    result = instance.query(f"SELECT count() FROM {table_function}")
    assert int(result) == 0


def test_insert_with_path_with_globs(started_cluster):
    instance = started_cluster.instances["dummy"]

    table_function_3 = f"s3('http://minio1:9001/root/test_parquet*', 'minio', 'minio123', 'Parquet', 'a Int32, b String')"
    instance.query_and_get_error(
        f"insert into table function {table_function_3} SELECT number, randomString(100) FROM numbers(500)"
    )


def test_s3_schema_inference(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    instance.query(
        f"insert into table function s3(s3_native, structure='a Int32, b String', format='Native') select number, randomString(100) from numbers(5000000)"
    )
    result = instance.query(f"desc s3(s3_native, format='Native')")
    assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n"

    result = instance.query(f"select count(*) from s3(s3_native, format='Native')")
    assert int(result) == 5000000

    instance.query(
        f"create table schema_inference engine=S3(s3_native, format='Native')"
    )
    result = instance.query(f"desc schema_inference")
    assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n"

    result = instance.query(f"select count(*) from schema_inference")
    assert int(result) == 5000000

    table_function = f"url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_native', 'Native')"
    result = instance.query(f"desc {table_function}")
    assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n"

    result = instance.query(f"select count(*) from {table_function}")
    assert int(result) == 5000000

    instance.query(
        f"create table schema_inference_2 engine=URL('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_native', 'Native')"
    )
    result = instance.query(f"desc schema_inference_2")
    assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n"

    result = instance.query(f"select count(*) from schema_inference_2")
    assert int(result) == 5000000

    table_function = f"s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_native', 'Native')"
    result = instance.query(f"desc {table_function}")
    assert result == "a\tInt32\t\t\t\t\t\nb\tString\t\t\t\t\t\n"

    result = instance.query(f"select count(*) from {table_function}")
    assert int(result) == 5000000


def test_empty_file(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    name = "empty"
    url = f"http://{started_cluster.minio_ip}:{MINIO_INTERNAL_PORT}/{bucket}/{name}"

    minio = started_cluster.minio_client
    minio.put_object(bucket, name, io.BytesIO(b""), 0)

    table_function = f"s3('{url}', 'CSV', 'id Int32')"
    result = instance.query(f"SELECT count() FROM {table_function}")
    assert int(result) == 0


def test_overwrite(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    table_function = f"s3(s3_parquet, structure='a Int32, b String', format='Parquet')"
    instance.query(f"create table test_overwrite as {table_function}")
    instance.query(f"truncate table test_overwrite")
    instance.query(
        f"insert into test_overwrite select number, randomString(100) from numbers(50) settings s3_truncate_on_insert=1"
    )
    instance.query_and_get_error(
        f"insert into test_overwrite select number, randomString(100) from numbers(100)"
    )
    instance.query(
        f"insert into test_overwrite select number, randomString(100) from numbers(200) settings s3_truncate_on_insert=1"
    )

    result = instance.query(f"select count() from test_overwrite")
    assert int(result) == 200


def test_create_new_files_on_insert(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    table_function = f"s3(s3_parquet, structure='a Int32, b String', format='Parquet')"
    instance.query(f"create table test_multiple_inserts as {table_function}")
    instance.query(f"truncate table test_multiple_inserts")
    instance.query(
        f"insert into test_multiple_inserts select number, randomString(100) from numbers(10) settings s3_truncate_on_insert=1"
    )
    instance.query(
        f"insert into test_multiple_inserts select number, randomString(100) from numbers(20) settings s3_create_new_file_on_insert=1"
    )
    instance.query(
        f"insert into test_multiple_inserts select number, randomString(100) from numbers(30) settings s3_create_new_file_on_insert=1"
    )

    result = instance.query(f"select count() from test_multiple_inserts")
    assert int(result) == 60

    instance.query(f"drop table test_multiple_inserts")

    table_function = (
        f"s3(s3_parquet_gz, structure='a Int32, b String', format='Parquet')"
    )
    instance.query(f"create table test_multiple_inserts as {table_function}")
    instance.query(f"truncate table test_multiple_inserts")
    instance.query(
        f"insert into test_multiple_inserts select number, randomString(100) from numbers(10) settings s3_truncate_on_insert=1"
    )
    instance.query(
        f"insert into test_multiple_inserts select number, randomString(100) from numbers(20) settings s3_create_new_file_on_insert=1"
    )
    instance.query(
        f"insert into test_multiple_inserts select number, randomString(100) from numbers(30) settings s3_create_new_file_on_insert=1"
    )

    result = instance.query(f"select count() from test_multiple_inserts")
    assert int(result) == 60


def test_format_detection(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    instance.query(f"create table arrow_table_s3 (x UInt64) engine=S3(s3_arrow)")
    instance.query(f"insert into arrow_table_s3 select 1")
    result = instance.query(f"select * from s3(s3_arrow)")
    assert int(result) == 1

    result = instance.query(
        f"select * from url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow')"
    )
    assert int(result) == 1

    result = instance.query(
        f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow')"
    )
    assert int(result) == 1

    instance.query(f"create table parquet_table_s3 (x UInt64) engine=S3(s3_parquet2)")
    instance.query(f"insert into parquet_table_s3 select 1")
    result = instance.query(f"select * from s3(s3_parquet2)")
    assert int(result) == 1

    result = instance.query(
        f"select * from url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.parquet')"
    )
    assert int(result) == 1

    result = instance.query(
        f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.parquet')"
    )
    assert int(result) == 1


def test_schema_inference_from_globs(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    instance.query(
        f"insert into table function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test1.jsoncompacteachrow', 'JSONCompactEachRow', 'x Nullable(UInt32)') select NULL"
    )
    instance.query(
        f"insert into table function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test2.jsoncompacteachrow', 'JSONCompactEachRow', 'x Nullable(UInt32)') select 0"
    )

    url_filename = "test{1,2}.jsoncompacteachrow"
    result = instance.query(
        f"desc url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{url_filename}')"
    )
    assert result.strip() == "c1\tNullable(Int64)"

    result = instance.query(
        f"select * from url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{url_filename}')"
    )
    assert sorted(result.split()) == ["0", "\\N"]

    result = instance.query(
        f"desc s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test*.jsoncompacteachrow')"
    )
    assert result.strip() == "c1\tNullable(Int64)"

    result = instance.query(
        f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test*.jsoncompacteachrow')"
    )
    assert sorted(result.split()) == ["0", "\\N"]

    instance.query(
        f"insert into table function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test3.jsoncompacteachrow', 'JSONCompactEachRow', 'x Nullable(UInt32)') select NULL"
    )

    url_filename = "test{1,3}.jsoncompacteachrow"

    result = instance.query_and_get_error(
        f"desc s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{url_filename}') settings schema_inference_use_cache_for_s3=0"
    )

    assert "All attempts to extract table structure from files failed" in result

    result = instance.query_and_get_error(
        f"desc url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{url_filename}') settings schema_inference_use_cache_for_url=0"
    )

    assert "All attempts to extract table structure from files failed" in result

    instance.query(
        f"insert into table function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test0.jsoncompacteachrow', 'TSV', 'x String') select '[123;]'"
    )

    result = instance.query_and_get_error(
        f"desc s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test*.jsoncompacteachrow') settings schema_inference_use_cache_for_s3=0"
    )

    assert (
        "Cannot extract table structure from JSONCompactEachRow format file" in result
    )

    url_filename = "test{0,1,2,3}.jsoncompacteachrow"

    result = instance.query_and_get_error(
        f"desc url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{url_filename}') settings schema_inference_use_cache_for_url=0"
    )

    assert (
        "Cannot extract table structure from JSONCompactEachRow format file" in result
    )


def test_signatures(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    instance.query(f"create table test_signatures (x UInt64) engine=S3(s3_arrow)")
    instance.query(f"truncate table test_signatures")
    instance.query(f"insert into test_signatures select 1")

    result = instance.query(
        f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow')"
    )
    assert int(result) == 1

    result = instance.query(
        f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow', 'Arrow', 'x UInt64')"
    )
    assert int(result) == 1

    result = instance.query(
        f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow', 'minio', 'minio123')"
    )
    assert int(result) == 1

    result = instance.query(
        f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow', 'Arrow', 'x UInt64', 'auto')"
    )
    assert int(result) == 1

    result = instance.query(
        f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test.arrow', 'minio', 'minio123', 'Arrow')"
    )
    assert int(result) == 1


def test_select_columns(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]
    name = "test_table2"
    structure = "id UInt32, value1 Int32, value2 Int32"

    instance.query(f"drop table if exists {name}")
    instance.query(
        f"CREATE TABLE {name} ({structure}) ENGINE = S3(s3_conf1, format='Parquet')"
    )

    limit = 10000000
    instance.query(
        f"INSERT INTO {name} SELECT * FROM generateRandom('{structure}') LIMIT {limit} SETTINGS s3_truncate_on_insert=1"
    )
    instance.query(f"SELECT value2 FROM {name}")

    instance.query("SYSTEM FLUSH LOGS")
    result1 = instance.query(
        f"SELECT read_bytes FROM system.query_log WHERE type='QueryFinish' and query LIKE 'SELECT value2 FROM {name}'"
    )

    instance.query(f"SELECT * FROM {name}")
    instance.query("SYSTEM FLUSH LOGS")
    result2 = instance.query(
        f"SELECT read_bytes FROM system.query_log WHERE type='QueryFinish' and query LIKE 'SELECT * FROM {name}'"
    )

    assert int(result1) * 3 <= int(result2)


def test_insert_select_schema_inference(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    instance.query(
        f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_insert_select.native') select toUInt64(1) as x"
    )
    result = instance.query(
        f"desc s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_insert_select.native')"
    )
    assert result.strip() == "x\tUInt64"

    result = instance.query(
        f"select * from s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_insert_select.native')"
    )
    assert int(result) == 1


def test_parallel_reading_with_memory_limit(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    instance.query(
        f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_memory_limit.native') select * from numbers(1000000)"
    )

    result = instance.query_and_get_error(
        f"select * from url('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_memory_limit.native') settings max_memory_usage=1000"
    )

    assert "Memory limit (for query) exceeded" in result

    time.sleep(5)

    # Check that server didn't crash
    result = instance.query("select 1")
    assert int(result) == 1


def test_wrong_format_usage(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    instance.query(
        f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_wrong_format.native') select * from numbers(10e6)"
    )
    # size(test_wrong_format.native) = 10e6*8+16(header) ~= 76MiB

    # ensure that not all file will be loaded into memory
    result = instance.query_and_get_error(
        f"desc s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_wrong_format.native', 'Parquet') settings input_format_allow_seeks=0, max_memory_usage='10Mi'"
    )

    assert "Not a Parquet file" in result


def check_profile_event_for_query(instance, query, profile_event, amount):
    instance.query("system flush logs")
    query = query.replace("'", "\\'")
    res = int(
        instance.query(
            f"select ProfileEvents['{profile_event}'] from system.query_log where query='{query}' and type = 'QueryFinish' order by query_start_time_microseconds desc limit 1"
        )
    )

    assert res == amount


def check_cache_misses(instance, file, storage_name, started_cluster, bucket, amount=1):
    query = f"desc {storage_name}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{file}')"
    check_profile_event_for_query(instance, query, "SchemaInferenceCacheMisses", amount)


def check_cache_hits(instance, file, storage_name, started_cluster, bucket, amount=1):
    query = f"desc {storage_name}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{file}')"
    check_profile_event_for_query(instance, query, "SchemaInferenceCacheHits", amount)


def check_cache_invalidations(
    instance, file, storage_name, started_cluster, bucket, amount=1
):
    query = f"desc {storage_name}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{file}')"
    check_profile_event_for_query(
        instance, query, "SchemaInferenceCacheInvalidations", amount
    )


def check_cache_evictions(
    instance, file, storage_name, started_cluster, bucket, amount=1
):
    query = f"desc {storage_name}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{file}')"
    check_profile_event_for_query(
        instance, query, "SchemaInferenceCacheEvictions", amount
    )


def run_describe_query(instance, file, storage_name, started_cluster, bucket):
    query = f"desc {storage_name}('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/{file}')"
    instance.query(query)


def check_cache(instance, expected_files):
    sources = instance.query("select source from system.schema_inference_cache")
    assert sorted(map(lambda x: x.strip().split("/")[-1], sources.split())) == sorted(
        expected_files
    )


def test_schema_inference_cache(started_cluster):
    bucket = started_cluster.minio_bucket
    instance = started_cluster.instances["dummy"]

    def test(storage_name):
        instance.query("system drop schema cache")
        instance.query(
            f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache0.jsonl') select * from numbers(100) settings s3_truncate_on_insert=1"
        )
        time.sleep(1)

        run_describe_query(
            instance, "test_cache0.jsonl", storage_name, started_cluster, bucket
        )
        check_cache(instance, ["test_cache0.jsonl"])
        check_cache_misses(
            instance, "test_cache0.jsonl", storage_name, started_cluster, bucket
        )

        run_describe_query(
            instance, "test_cache0.jsonl", storage_name, started_cluster, bucket
        )
        check_cache_hits(
            instance, "test_cache0.jsonl", storage_name, started_cluster, bucket
        )

        instance.query(
            f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache0.jsonl') select * from numbers(100) settings s3_truncate_on_insert=1"
        )
        time.sleep(1)

        run_describe_query(
            instance, "test_cache0.jsonl", storage_name, started_cluster, bucket
        )
        check_cache_invalidations(
            instance, "test_cache0.jsonl", storage_name, started_cluster, bucket
        )

        instance.query(
            f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache1.jsonl') select * from numbers(100) settings s3_truncate_on_insert=1"
        )
        time.sleep(1)

        run_describe_query(
            instance, "test_cache1.jsonl", storage_name, started_cluster, bucket
        )
        check_cache(instance, ["test_cache0.jsonl", "test_cache1.jsonl"])
        check_cache_misses(
            instance, "test_cache1.jsonl", storage_name, started_cluster, bucket
        )

        run_describe_query(
            instance, "test_cache1.jsonl", storage_name, started_cluster, bucket
        )
        check_cache_hits(
            instance, "test_cache1.jsonl", storage_name, started_cluster, bucket
        )

        instance.query(
            f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache2.jsonl') select * from numbers(100) settings s3_truncate_on_insert=1"
        )
        time.sleep(1)

        run_describe_query(
            instance, "test_cache2.jsonl", storage_name, started_cluster, bucket
        )
        check_cache(instance, ["test_cache1.jsonl", "test_cache2.jsonl"])
        check_cache_misses(
            instance, "test_cache2.jsonl", storage_name, started_cluster, bucket
        )
        check_cache_evictions(
            instance, "test_cache2.jsonl", storage_name, started_cluster, bucket
        )

        run_describe_query(
            instance, "test_cache2.jsonl", storage_name, started_cluster, bucket
        )
        check_cache_hits(
            instance, "test_cache2.jsonl", storage_name, started_cluster, bucket
        )

        run_describe_query(
            instance, "test_cache1.jsonl", storage_name, started_cluster, bucket
        )
        check_cache_hits(
            instance, "test_cache1.jsonl", storage_name, started_cluster, bucket
        )

        run_describe_query(
            instance, "test_cache0.jsonl", storage_name, started_cluster, bucket
        )
        check_cache(instance, ["test_cache0.jsonl", "test_cache1.jsonl"])
        check_cache_misses(
            instance, "test_cache0.jsonl", storage_name, started_cluster, bucket
        )
        check_cache_evictions(
            instance, "test_cache0.jsonl", storage_name, started_cluster, bucket
        )

        run_describe_query(
            instance, "test_cache2.jsonl", storage_name, started_cluster, bucket
        )
        check_cache(instance, ["test_cache0.jsonl", "test_cache2.jsonl"])
        check_cache_misses(
            instance, "test_cache2.jsonl", storage_name, started_cluster, bucket
        )
        check_cache_evictions(
            instance, "test_cache2.jsonl", storage_name, started_cluster, bucket
        )

        run_describe_query(
            instance, "test_cache2.jsonl", storage_name, started_cluster, bucket
        )
        check_cache_hits(
            instance, "test_cache2.jsonl", storage_name, started_cluster, bucket
        )

        run_describe_query(
            instance, "test_cache0.jsonl", storage_name, started_cluster, bucket
        )
        check_cache_hits(
            instance, "test_cache0.jsonl", storage_name, started_cluster, bucket
        )

        instance.query(
            f"insert into function s3('http://{started_cluster.minio_host}:{started_cluster.minio_port}/{bucket}/test_cache3.jsonl') select * from numbers(100) settings s3_truncate_on_insert=1"
        )
        time.sleep(1)

        files = "test_cache{0,1,2,3}.jsonl"
        run_describe_query(instance, files, storage_name, started_cluster, bucket)
        check_cache_hits(instance, files, storage_name, started_cluster, bucket)

        instance.query(f"system drop schema cache for {storage_name}")
        check_cache(instance, [])

        run_describe_query(instance, files, storage_name, started_cluster, bucket)
        check_cache_misses(instance, files, storage_name, started_cluster, bucket, 4)

        instance.query("system drop schema cache")
        check_cache(instance, [])

        run_describe_query(instance, files, storage_name, started_cluster, bucket)
        check_cache_misses(instance, files, storage_name, started_cluster, bucket, 4)

    test("s3")
    test("url")