import pytest

import json
import os.path as p
import random
import subprocess
import threading
import logging
import time
from random import randrange
import math

import pika
from google.protobuf.internal.encoder import _VarintBytes
from helpers.client import QueryRuntimeException
from helpers.cluster import ClickHouseCluster, check_rabbitmq_is_available
from helpers.test_tools import TSV

from . import rabbitmq_pb2

cluster = ClickHouseCluster(__file__)
instance = cluster.add_instance(
    "instance",
    main_configs=[
        "configs/rabbitmq.xml",
        "configs/macros.xml",
        "configs/named_collection.xml",
    ],
    user_configs=["configs/users.xml"],
    with_rabbitmq=True,
    stay_alive=True,
)

instance2 = cluster.add_instance(
    "instance2",
    user_configs=["configs/users.xml"],
    with_rabbitmq=True,
)

# Helpers


def rabbitmq_check_result(result, check=False, ref_file="test_rabbitmq_json.reference"):
    fpath = p.join(p.dirname(__file__), ref_file)
    with open(fpath) as reference:
        if check:
            assert TSV(result) == TSV(reference)
        else:
            return TSV(result) == TSV(reference)


def wait_rabbitmq_to_start(rabbitmq_docker_id, timeout=180):
    logging.getLogger("pika").propagate = False
    start = time.time()
    while time.time() - start < timeout:
        try:
            if check_rabbitmq_is_available(rabbitmq_docker_id):
                logging.debug("RabbitMQ is available")
                return
            time.sleep(0.5)
        except Exception as ex:
            logging.debug("Can't connect to RabbitMQ " + str(ex))
            time.sleep(0.5)


def kill_rabbitmq(rabbitmq_id):
    p = subprocess.Popen(("docker", "stop", rabbitmq_id), stdout=subprocess.PIPE)
    p.communicate()
    return p.returncode == 0


def revive_rabbitmq(rabbitmq_id):
    p = subprocess.Popen(("docker", "start", rabbitmq_id), stdout=subprocess.PIPE)
    p.communicate()
    wait_rabbitmq_to_start(rabbitmq_id)


# Fixtures


@pytest.fixture(scope="module")
def rabbitmq_cluster():
    try:
        cluster.start()
        logging.debug("rabbitmq_id is {}".format(instance.cluster.rabbitmq_docker_id))
        instance.query("CREATE DATABASE test")

        yield cluster

    finally:
        cluster.shutdown()


@pytest.fixture(autouse=True)
def rabbitmq_setup_teardown():
    print("RabbitMQ is available - running test")
    yield  # run test
    instance.query("DROP DATABASE test NO DELAY")
    instance.query("CREATE DATABASE test")


# Tests


def test_rabbitmq_select(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = '{}:5672',
                     rabbitmq_exchange_name = 'select',
                     rabbitmq_commit_on_select = 1,
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_row_delimiter = '\\n';
        """.format(
            rabbitmq_cluster.rabbitmq_host
        )
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    messages = []
    for i in range(50):
        messages.append(json.dumps({"key": i, "value": i}))

    for message in messages:
        channel.basic_publish(exchange="select", routing_key="", body=message)

    connection.close()
    # The order of messages in select * from test.rabbitmq is not guaranteed, so sleep to collect everything in one select
    time.sleep(1)

    result = ""
    while True:
        result += instance.query(
            "SELECT * FROM test.rabbitmq ORDER BY key", ignore_error=True
        )
        if rabbitmq_check_result(result):
            break

    rabbitmq_check_result(result, True)


def test_rabbitmq_select_empty(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = '{}:5672',
                     rabbitmq_exchange_name = 'empty',
                     rabbitmq_commit_on_select = 1,
                     rabbitmq_format = 'TSV',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_row_delimiter = '\\n';
        """.format(
            rabbitmq_cluster.rabbitmq_host
        )
    )

    assert int(instance.query("SELECT count() FROM test.rabbitmq")) == 0


def test_rabbitmq_json_without_delimiter(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = '{}:5672',
                     rabbitmq_commit_on_select = 1,
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_exchange_name = 'json',
                     rabbitmq_format = 'JSONEachRow'
        """.format(
            rabbitmq_cluster.rabbitmq_host
        )
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    messages = ""
    for i in range(25):
        messages += json.dumps({"key": i, "value": i}) + "\n"

    all_messages = [messages]
    for message in all_messages:
        channel.basic_publish(exchange="json", routing_key="", body=message)

    messages = ""
    for i in range(25, 50):
        messages += json.dumps({"key": i, "value": i}) + "\n"
    all_messages = [messages]
    for message in all_messages:
        channel.basic_publish(exchange="json", routing_key="", body=message)

    connection.close()
    time.sleep(1)

    result = ""
    while True:
        result += instance.query(
            "SELECT * FROM test.rabbitmq ORDER BY key", ignore_error=True
        )
        if rabbitmq_check_result(result):
            break

    rabbitmq_check_result(result, True)


def test_rabbitmq_csv_with_delimiter(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'csv',
                     rabbitmq_commit_on_select = 1,
                     rabbitmq_format = 'CSV',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_row_delimiter = '\\n';
        """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    messages = []
    for i in range(50):
        messages.append("{i}, {i}".format(i=i))

    for message in messages:
        channel.basic_publish(exchange="csv", routing_key="", body=message)

    connection.close()
    time.sleep(1)

    result = ""
    while True:
        result += instance.query(
            "SELECT * FROM test.rabbitmq ORDER BY key", ignore_error=True
        )
        if rabbitmq_check_result(result):
            break

    rabbitmq_check_result(result, True)


def test_rabbitmq_tsv_with_delimiter(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'tsv',
                     rabbitmq_format = 'TSV',
                     rabbitmq_commit_on_select = 1,
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_queue_base = 'tsv',
                     rabbitmq_row_delimiter = '\\n';
        CREATE TABLE test.view (key UInt64, value UInt64)
            ENGINE = MergeTree()
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.rabbitmq;
        """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    messages = []
    for i in range(50):
        messages.append("{i}\t{i}".format(i=i))

    for message in messages:
        channel.basic_publish(exchange="tsv", routing_key="", body=message)
    connection.close()

    result = ""
    while True:
        result = instance.query("SELECT * FROM test.view ORDER BY key")
        if rabbitmq_check_result(result):
            break

    rabbitmq_check_result(result, True)


def test_rabbitmq_macros(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = '{rabbitmq_host}:{rabbitmq_port}',
                     rabbitmq_commit_on_select = 1,
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_exchange_name = '{rabbitmq_exchange_name}',
                     rabbitmq_format = '{rabbitmq_format}'
        """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    message = ""
    for i in range(50):
        message += json.dumps({"key": i, "value": i}) + "\n"
    channel.basic_publish(exchange="macro", routing_key="", body=message)

    connection.close()
    time.sleep(1)

    result = ""
    while True:
        result += instance.query(
            "SELECT * FROM test.rabbitmq ORDER BY key", ignore_error=True
        )
        if rabbitmq_check_result(result):
            break

    rabbitmq_check_result(result, True)


def test_rabbitmq_materialized_view(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'mv',
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_row_delimiter = '\\n';
        CREATE TABLE test.view (key UInt64, value UInt64)
            ENGINE = MergeTree()
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.rabbitmq;

        CREATE TABLE test.view2 (key UInt64, value UInt64)
            ENGINE = MergeTree()
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer2 TO test.view2 AS
            SELECT * FROM test.rabbitmq group by (key, value);
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    instance.wait_for_log_line("Started streaming to 2 attached views")

    messages = []
    for i in range(50):
        message = json.dumps({"key": i, "value": i})
        channel.basic_publish(exchange="mv", routing_key="", body=message)

    time_limit_sec = 60
    deadline = time.monotonic() + time_limit_sec

    while time.monotonic() < deadline:
        result = instance.query("SELECT * FROM test.view ORDER BY key")
        if rabbitmq_check_result(result):
            break

    rabbitmq_check_result(result, True)

    deadline = time.monotonic() + time_limit_sec

    while time.monotonic() < deadline:
        result = instance.query("SELECT * FROM test.view2 ORDER BY key")
        print(f"Result: {result}")
        if rabbitmq_check_result(result):
            break
        time.sleep(1)

    rabbitmq_check_result(result, True)
    connection.close()


def test_rabbitmq_materialized_view_with_subquery(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'mvsq',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_row_delimiter = '\\n';
        CREATE TABLE test.view (key UInt64, value UInt64)
            ENGINE = MergeTree()
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM (SELECT * FROM test.rabbitmq);
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    messages = []
    for i in range(50):
        messages.append(json.dumps({"key": i, "value": i}))
    for message in messages:
        channel.basic_publish(exchange="mvsq", routing_key="", body=message)

    while True:
        result = instance.query("SELECT * FROM test.view ORDER BY key")
        if rabbitmq_check_result(result):
            break

    connection.close()
    rabbitmq_check_result(result, True)


def test_rabbitmq_many_materialized_views(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.view1;
        DROP TABLE IF EXISTS test.view2;
        DROP TABLE IF EXISTS test.consumer1;
        DROP TABLE IF EXISTS test.consumer2;
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'mmv',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_row_delimiter = '\\n';
        CREATE TABLE test.view1 (key UInt64, value UInt64)
            ENGINE = MergeTree()
            ORDER BY key;
        CREATE TABLE test.view2 (key UInt64, value UInt64)
            ENGINE = MergeTree()
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer1 TO test.view1 AS
            SELECT * FROM test.rabbitmq;
        CREATE MATERIALIZED VIEW test.consumer2 TO test.view2 AS
            SELECT * FROM test.rabbitmq;
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    instance.wait_for_log_line("Started streaming to 2 attached views")

    messages = []
    for i in range(50):
        messages.append(json.dumps({"key": i, "value": i}))
    for message in messages:
        channel.basic_publish(exchange="mmv", routing_key="", body=message)

    while True:
        result1 = instance.query("SELECT * FROM test.view1 ORDER BY key")
        result2 = instance.query("SELECT * FROM test.view2 ORDER BY key")
        if rabbitmq_check_result(result1) and rabbitmq_check_result(result2):
            break

    instance.query(
        """
        DROP TABLE test.consumer1;
        DROP TABLE test.consumer2;
        DROP TABLE test.view1;
        DROP TABLE test.view2;
    """
    )

    connection.close()
    rabbitmq_check_result(result1, True)
    rabbitmq_check_result(result2, True)


@pytest.mark.skip(reason="clichouse_path with rabbitmq.proto fails to be exported")
def test_rabbitmq_protobuf(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value String)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'pb',
                     rabbitmq_format = 'Protobuf',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_schema = 'rabbitmq.proto:KeyValueProto';
        CREATE TABLE test.view (key UInt64, value UInt64)
            ENGINE = MergeTree()
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.rabbitmq;
        """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    data = ""
    for i in range(0, 20):
        msg = rabbitmq_pb2.KeyValueProto()
        msg.key = i
        msg.value = str(i)
        serialized_msg = msg.SerializeToString()
        data = data + _VarintBytes(len(serialized_msg)) + serialized_msg
    channel.basic_publish(exchange="pb", routing_key="", body=data)
    data = ""
    for i in range(20, 21):
        msg = rabbitmq_pb2.KeyValueProto()
        msg.key = i
        msg.value = str(i)
        serialized_msg = msg.SerializeToString()
        data = data + _VarintBytes(len(serialized_msg)) + serialized_msg
    channel.basic_publish(exchange="pb", routing_key="", body=data)
    data = ""
    for i in range(21, 50):
        msg = rabbitmq_pb2.KeyValueProto()
        msg.key = i
        msg.value = str(i)
        serialized_msg = msg.SerializeToString()
        data = data + _VarintBytes(len(serialized_msg)) + serialized_msg
    channel.basic_publish(exchange="pb", routing_key="", body=data)

    connection.close()

    result = ""
    while True:
        result = instance.query("SELECT * FROM test.view ORDER BY key")
        if rabbitmq_check_result(result):
            break

    rabbitmq_check_result(result, True)


def test_rabbitmq_big_message(rabbitmq_cluster):
    # Create batchs of messages of size ~100Kb
    rabbitmq_messages = 1000
    batch_messages = 1000
    messages = [
        json.dumps({"key": i, "value": "x" * 100}) * batch_messages
        for i in range(rabbitmq_messages)
    ]

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value String)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'big',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_format = 'JSONEachRow';
        CREATE TABLE test.view (key UInt64, value String)
            ENGINE = MergeTree
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.rabbitmq;
    """
    )

    for message in messages:
        channel.basic_publish(exchange="big", routing_key="", body=message)

    while True:
        result = instance.query("SELECT count() FROM test.view")
        if int(result) == batch_messages * rabbitmq_messages:
            break

    connection.close()

    assert (
        int(result) == rabbitmq_messages * batch_messages
    ), "ClickHouse lost some messages: {}".format(result)


def test_rabbitmq_sharding_between_queues_publish(rabbitmq_cluster):
    NUM_CONSUMERS = 10
    NUM_QUEUES = 10
    logging.getLogger("pika").propagate = False

    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'test_sharding',
                     rabbitmq_num_queues = 5,
                     rabbitmq_num_consumers = 10,
                     rabbitmq_max_block_size = 100,
                     rabbitmq_flush_interval_ms=500,
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_row_delimiter = '\\n';
        CREATE TABLE test.view (key UInt64, value UInt64, channel_id String)
            ENGINE = MergeTree
            ORDER BY key
            SETTINGS old_parts_lifetime=5, cleanup_delay_period=2, cleanup_delay_period_random_add=3;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT *, _channel_id AS channel_id FROM test.rabbitmq;
    """
    )

    i = [0]
    messages_num = 10000

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )

    def produce():
        connection = pika.BlockingConnection(parameters)
        channel = connection.channel()

        messages = []
        for _ in range(messages_num):
            messages.append(json.dumps({"key": i[0], "value": i[0]}))
            i[0] += 1
        current = 0
        for message in messages:
            current += 1
            mes_id = str(current)
            channel.basic_publish(
                exchange="test_sharding",
                routing_key="",
                properties=pika.BasicProperties(message_id=mes_id),
                body=message,
            )
        connection.close()

    threads = []
    threads_num = 10

    for _ in range(threads_num):
        threads.append(threading.Thread(target=produce))
    for thread in threads:
        time.sleep(random.uniform(0, 1))
        thread.start()

    result1 = ""
    while True:
        result1 = instance.query("SELECT count() FROM test.view")
        time.sleep(1)
        expected = messages_num * threads_num
        if int(result1) == expected:
            break
        print(f"Result {result1} / {expected}")

    result2 = instance.query("SELECT count(DISTINCT channel_id) FROM test.view")

    for thread in threads:
        thread.join()

    assert (
        int(result1) == messages_num * threads_num
    ), "ClickHouse lost some messages: {}".format(result)
    assert int(result2) == 10


def test_rabbitmq_mv_combo(rabbitmq_cluster):
    NUM_MV = 5
    NUM_CONSUMERS = 4
    logging.getLogger("pika").propagate = False

    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'combo',
                     rabbitmq_queue_base = 'combo',
                     rabbitmq_max_block_size = 100,
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_num_consumers = 2,
                     rabbitmq_num_queues = 5,
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_row_delimiter = '\\n';
    """
    )

    for mv_id in range(NUM_MV):
        instance.query(
            """
            DROP TABLE IF EXISTS test.combo_{0};
            DROP TABLE IF EXISTS test.combo_{0}_mv;
            CREATE TABLE test.combo_{0} (key UInt64, value UInt64)
                ENGINE = MergeTree()
                ORDER BY key;
            CREATE MATERIALIZED VIEW test.combo_{0}_mv TO test.combo_{0} AS
                SELECT * FROM test.rabbitmq;
        """.format(
                mv_id
            )
        )

    time.sleep(2)

    i = [0]
    messages_num = 10000

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )

    def produce():
        connection = pika.BlockingConnection(parameters)
        channel = connection.channel()

        messages = []
        for _ in range(messages_num):
            messages.append(json.dumps({"key": i[0], "value": i[0]}))
            i[0] += 1
        for msg_id in range(messages_num):
            channel.basic_publish(
                exchange="combo",
                routing_key="",
                properties=pika.BasicProperties(message_id=str(msg_id)),
                body=messages[msg_id],
            )
        connection.close()

    threads = []
    threads_num = 20

    for _ in range(threads_num):
        threads.append(threading.Thread(target=produce))
    for thread in threads:
        time.sleep(random.uniform(0, 1))
        thread.start()

    while True:
        result = 0
        for mv_id in range(NUM_MV):
            result += int(
                instance.query("SELECT count() FROM test.combo_{0}".format(mv_id))
            )
        expected = messages_num * threads_num * NUM_MV
        if int(result) == expected:
            break
        print(f"Result: {result} / {expected}")
        time.sleep(1)

    for thread in threads:
        thread.join()

    for mv_id in range(NUM_MV):
        instance.query(
            """
            DROP TABLE test.combo_{0}_mv;
            DROP TABLE test.combo_{0};
        """.format(
                mv_id
            )
        )

    assert (
        int(result) == messages_num * threads_num * NUM_MV
    ), "ClickHouse lost some messages: {}".format(result)


def test_rabbitmq_insert(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'insert',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_exchange_type = 'direct',
                     rabbitmq_routing_key_list = 'insert1',
                     rabbitmq_format = 'TSV',
                     rabbitmq_row_delimiter = '\\n';
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    consumer_connection = pika.BlockingConnection(parameters)

    consumer = consumer_connection.channel()
    result = consumer.queue_declare(queue="")
    queue_name = result.method.queue
    consumer.queue_bind(exchange="insert", queue=queue_name, routing_key="insert1")

    values = []
    for i in range(50):
        values.append("({i}, {i})".format(i=i))
    values = ",".join(values)

    while True:
        try:
            instance.query("INSERT INTO test.rabbitmq VALUES {}".format(values))
            break
        except QueryRuntimeException as e:
            if "Local: Timed out." in str(e):
                continue
            else:
                raise

    insert_messages = []

    def onReceived(channel, method, properties, body):
        i = 0
        insert_messages.append(body.decode())
        if len(insert_messages) == 50:
            channel.stop_consuming()

    consumer.basic_consume(onReceived, queue_name)
    consumer.start_consuming()
    consumer_connection.close()

    result = "\n".join(insert_messages)
    rabbitmq_check_result(result, True)


def test_rabbitmq_insert_headers_exchange(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'insert_headers',
                     rabbitmq_exchange_type = 'headers',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_routing_key_list = 'test=insert,topic=headers',
                     rabbitmq_format = 'TSV',
                     rabbitmq_row_delimiter = '\\n';
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    consumer_connection = pika.BlockingConnection(parameters)

    consumer = consumer_connection.channel()
    result = consumer.queue_declare(queue="")
    queue_name = result.method.queue
    consumer.queue_bind(
        exchange="insert_headers",
        queue=queue_name,
        routing_key="",
        arguments={"x-match": "all", "test": "insert", "topic": "headers"},
    )

    values = []
    for i in range(50):
        values.append("({i}, {i})".format(i=i))
    values = ",".join(values)

    while True:
        try:
            instance.query("INSERT INTO test.rabbitmq VALUES {}".format(values))
            break
        except QueryRuntimeException as e:
            if "Local: Timed out." in str(e):
                continue
            else:
                raise

    insert_messages = []

    def onReceived(channel, method, properties, body):
        i = 0
        insert_messages.append(body.decode())
        if len(insert_messages) == 50:
            channel.stop_consuming()

    consumer.basic_consume(onReceived, queue_name)
    consumer.start_consuming()
    consumer_connection.close()

    result = "\n".join(insert_messages)
    rabbitmq_check_result(result, True)


def test_rabbitmq_many_inserts(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.rabbitmq_many;
        DROP TABLE IF EXISTS test.rabbitmq_consume;
        DROP TABLE IF EXISTS test.view_many;
        DROP TABLE IF EXISTS test.consumer_many;
        CREATE TABLE test.rabbitmq_many (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'many_inserts',
                     rabbitmq_exchange_type = 'direct',
                     rabbitmq_routing_key_list = 'insert2',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_format = 'TSV',
                     rabbitmq_row_delimiter = '\\n';
        CREATE TABLE test.rabbitmq_consume (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'many_inserts',
                     rabbitmq_exchange_type = 'direct',
                     rabbitmq_routing_key_list = 'insert2',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_format = 'TSV',
                     rabbitmq_row_delimiter = '\\n';
    """
    )

    messages_num = 10000
    values = []
    for i in range(messages_num):
        values.append("({i}, {i})".format(i=i))
    values = ",".join(values)

    def insert():
        while True:
            try:
                instance.query(
                    "INSERT INTO test.rabbitmq_many VALUES {}".format(values)
                )
                break
            except QueryRuntimeException as e:
                if "Local: Timed out." in str(e):
                    continue
                else:
                    raise

    threads = []
    threads_num = 10
    for _ in range(threads_num):
        threads.append(threading.Thread(target=insert))
    for thread in threads:
        time.sleep(random.uniform(0, 1))
        thread.start()

    instance.query(
        """
        CREATE TABLE test.view_many (key UInt64, value UInt64)
            ENGINE = MergeTree
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer_many TO test.view_many AS
            SELECT * FROM test.rabbitmq_consume;
    """
    )

    for thread in threads:
        thread.join()

    while True:
        result = instance.query("SELECT count() FROM test.view_many")
        print(result, messages_num * threads_num)
        if int(result) == messages_num * threads_num:
            break
        time.sleep(1)

    instance.query(
        """
        DROP TABLE test.rabbitmq_consume;
        DROP TABLE test.rabbitmq_many;
        DROP TABLE test.consumer_many;
        DROP TABLE test.view_many;
    """
    )

    assert (
        int(result) == messages_num * threads_num
    ), "ClickHouse lost some messages: {}".format(result)


@pytest.mark.skip(reason="Flaky")
def test_rabbitmq_overloaded_insert(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.view_overload;
        DROP TABLE IF EXISTS test.consumer_overload;
        DROP TABLE IF EXISTS test.rabbitmq_consume;
        CREATE TABLE test.rabbitmq_consume (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'over',
                     rabbitmq_queue_base = 'over',
                     rabbitmq_exchange_type = 'direct',
                     rabbitmq_num_consumers = 2,
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size = 100,
                     rabbitmq_routing_key_list = 'over',
                     rabbitmq_format = 'TSV',
                     rabbitmq_row_delimiter = '\\n';
        CREATE TABLE test.rabbitmq_overload (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'over',
                     rabbitmq_exchange_type = 'direct',
                     rabbitmq_routing_key_list = 'over',
                     rabbitmq_format = 'TSV',
                     rabbitmq_row_delimiter = '\\n';
        CREATE TABLE test.view_overload (key UInt64, value UInt64)
            ENGINE = MergeTree
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer_overload TO test.view_overload AS
            SELECT * FROM test.rabbitmq_consume;
    """
    )

    instance.wait_for_log_line("Started streaming to 1 attached views")

    messages_num = 100000

    def insert():
        values = []
        for i in range(messages_num):
            values.append("({i}, {i})".format(i=i))
        values = ",".join(values)

        while True:
            try:
                instance.query(
                    "INSERT INTO test.rabbitmq_overload VALUES {}".format(values)
                )
                break
            except QueryRuntimeException as e:
                if "Local: Timed out." in str(e):
                    continue
                else:
                    raise

    threads = []
    threads_num = 2
    for _ in range(threads_num):
        threads.append(threading.Thread(target=insert))
    for thread in threads:
        time.sleep(random.uniform(0, 1))
        thread.start()

    for thread in threads:
        thread.join()

    while True:
        result = instance.query("SELECT count() FROM test.view_overload")
        expected = messages_num * threads_num
        if int(result) == expected:
            break
        print(f"Result: {result} / {expected}")
        time.sleep(1)

    instance.query(
        """
        DROP TABLE test.consumer_overload NO DELAY;
        DROP TABLE test.view_overload NO DELAY;
        DROP TABLE test.rabbitmq_consume NO DELAY;
        DROP TABLE test.rabbitmq_overload NO DELAY;
    """
    )

    assert (
        int(result) == messages_num * threads_num
    ), "ClickHouse lost some messages: {}".format(result)


def test_rabbitmq_direct_exchange(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.destination;
        CREATE TABLE test.destination(key UInt64, value UInt64)
        ENGINE = MergeTree()
        ORDER BY key
        SETTINGS old_parts_lifetime=5, cleanup_delay_period=2, cleanup_delay_period_random_add=3;
    """
    )

    num_tables = 5
    for consumer_id in range(num_tables):
        print(("Setting up table {}".format(consumer_id)))
        instance.query(
            """
            DROP TABLE IF EXISTS test.direct_exchange_{0};
            DROP TABLE IF EXISTS test.direct_exchange_{0}_mv;
            CREATE TABLE test.direct_exchange_{0} (key UInt64, value UInt64)
                ENGINE = RabbitMQ
                SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                         rabbitmq_num_consumers = 2,
                         rabbitmq_num_queues = 2,
                         rabbitmq_flush_interval_ms=1000,
                        rabbitmq_max_block_size=100,
                         rabbitmq_exchange_name = 'direct_exchange_testing',
                         rabbitmq_exchange_type = 'direct',
                         rabbitmq_routing_key_list = 'direct_{0}',
                         rabbitmq_format = 'JSONEachRow',
                         rabbitmq_row_delimiter = '\\n';
            CREATE MATERIALIZED VIEW test.direct_exchange_{0}_mv TO test.destination AS
            SELECT key, value FROM test.direct_exchange_{0};
        """.format(
                consumer_id
            )
        )

    i = [0]
    messages_num = 1000

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    messages = []
    for _ in range(messages_num):
        messages.append(json.dumps({"key": i[0], "value": i[0]}))
        i[0] += 1

    key_num = 0
    for num in range(num_tables):
        key = "direct_" + str(key_num)
        key_num += 1
        for message in messages:
            mes_id = str(randrange(10))
            channel.basic_publish(
                exchange="direct_exchange_testing",
                routing_key=key,
                properties=pika.BasicProperties(message_id=mes_id),
                body=message,
            )

    connection.close()

    while True:
        result = instance.query("SELECT count() FROM test.destination")
        time.sleep(1)
        if int(result) == messages_num * num_tables:
            break

    for consumer_id in range(num_tables):
        instance.query(
            """
            DROP TABLE test.direct_exchange_{0}_mv;
            DROP TABLE test.direct_exchange_{0};
        """.format(
                consumer_id
            )
        )

    instance.query(
        """
        DROP TABLE IF EXISTS test.destination;
    """
    )

    assert (
        int(result) == messages_num * num_tables
    ), "ClickHouse lost some messages: {}".format(result)


def test_rabbitmq_fanout_exchange(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.destination;
        CREATE TABLE test.destination(key UInt64, value UInt64)
        ENGINE = MergeTree()
        ORDER BY key;
    """
    )

    num_tables = 5
    for consumer_id in range(num_tables):
        print(("Setting up table {}".format(consumer_id)))
        instance.query(
            """
            DROP TABLE IF EXISTS test.fanout_exchange_{0};
            DROP TABLE IF EXISTS test.fanout_exchange_{0}_mv;
            CREATE TABLE test.fanout_exchange_{0} (key UInt64, value UInt64)
                ENGINE = RabbitMQ
                SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                         rabbitmq_num_consumers = 2,
                         rabbitmq_num_queues = 2,
                         rabbitmq_flush_interval_ms=1000,
                         rabbitmq_max_block_size=100,
                         rabbitmq_routing_key_list = 'key_{0}',
                         rabbitmq_exchange_name = 'fanout_exchange_testing',
                         rabbitmq_exchange_type = 'fanout',
                         rabbitmq_format = 'JSONEachRow',
                         rabbitmq_row_delimiter = '\\n';
            CREATE MATERIALIZED VIEW test.fanout_exchange_{0}_mv TO test.destination AS
            SELECT key, value FROM test.fanout_exchange_{0};
        """.format(
                consumer_id
            )
        )

    i = [0]
    messages_num = 1000

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    messages = []
    for _ in range(messages_num):
        messages.append(json.dumps({"key": i[0], "value": i[0]}))
        i[0] += 1

    for msg_id in range(messages_num):
        channel.basic_publish(
            exchange="fanout_exchange_testing",
            routing_key="",
            properties=pika.BasicProperties(message_id=str(msg_id)),
            body=messages[msg_id],
        )

    connection.close()

    while True:
        result = instance.query("SELECT count() FROM test.destination")
        time.sleep(1)
        if int(result) == messages_num * num_tables:
            break

    for consumer_id in range(num_tables):
        instance.query(
            """
            DROP TABLE test.fanout_exchange_{0}_mv;
            DROP TABLE test.fanout_exchange_{0};
        """.format(
                consumer_id
            )
        )

    instance.query(
        """
        DROP TABLE test.destination;
    """
    )

    assert (
        int(result) == messages_num * num_tables
    ), "ClickHouse lost some messages: {}".format(result)


def test_rabbitmq_topic_exchange(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.destination;
        CREATE TABLE test.destination(key UInt64, value UInt64)
        ENGINE = MergeTree()
        ORDER BY key;
    """
    )

    num_tables = 5
    for consumer_id in range(num_tables):
        print(("Setting up table {}".format(consumer_id)))
        instance.query(
            """
            DROP TABLE IF EXISTS test.topic_exchange_{0};
            DROP TABLE IF EXISTS test.topic_exchange_{0}_mv;
            CREATE TABLE test.topic_exchange_{0} (key UInt64, value UInt64)
                ENGINE = RabbitMQ
                SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                         rabbitmq_num_consumers = 2,
                         rabbitmq_num_queues = 2,
                         rabbitmq_flush_interval_ms=1000,
                         rabbitmq_max_block_size=100,
                         rabbitmq_exchange_name = 'topic_exchange_testing',
                         rabbitmq_exchange_type = 'topic',
                         rabbitmq_routing_key_list = '*.{0}',
                         rabbitmq_format = 'JSONEachRow',
                         rabbitmq_row_delimiter = '\\n';
            CREATE MATERIALIZED VIEW test.topic_exchange_{0}_mv TO test.destination AS
            SELECT key, value FROM test.topic_exchange_{0};
        """.format(
                consumer_id
            )
        )

    for consumer_id in range(num_tables):
        print(("Setting up table {}".format(num_tables + consumer_id)))
        instance.query(
            """
            DROP TABLE IF EXISTS test.topic_exchange_{0};
            DROP TABLE IF EXISTS test.topic_exchange_{0}_mv;
            CREATE TABLE test.topic_exchange_{0} (key UInt64, value UInt64)
                ENGINE = RabbitMQ
                SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                         rabbitmq_num_consumers = 2,
                         rabbitmq_num_queues = 2,
                         rabbitmq_flush_interval_ms=1000,
                         rabbitmq_max_block_size=100,
                         rabbitmq_exchange_name = 'topic_exchange_testing',
                         rabbitmq_exchange_type = 'topic',
                         rabbitmq_routing_key_list = '*.logs',
                         rabbitmq_format = 'JSONEachRow',
                         rabbitmq_row_delimiter = '\\n';
            CREATE MATERIALIZED VIEW test.topic_exchange_{0}_mv TO test.destination AS
            SELECT key, value FROM test.topic_exchange_{0};
        """.format(
                num_tables + consumer_id
            )
        )

    i = [0]
    messages_num = 1000

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    messages = []
    for _ in range(messages_num):
        messages.append(json.dumps({"key": i[0], "value": i[0]}))
        i[0] += 1

    key_num = 0
    for num in range(num_tables):
        key = "topic." + str(key_num)
        key_num += 1
        for message in messages:
            channel.basic_publish(
                exchange="topic_exchange_testing", routing_key=key, body=message
            )

    key = "random.logs"
    current = 0
    for msg_id in range(messages_num):
        channel.basic_publish(
            exchange="topic_exchange_testing",
            routing_key=key,
            properties=pika.BasicProperties(message_id=str(msg_id)),
            body=messages[msg_id],
        )

    connection.close()

    while True:
        result = instance.query("SELECT count() FROM test.destination")
        time.sleep(1)
        if int(result) == messages_num * num_tables + messages_num * num_tables:
            break

    for consumer_id in range(num_tables * 2):
        instance.query(
            """
            DROP TABLE test.topic_exchange_{0}_mv;
            DROP TABLE test.topic_exchange_{0};
        """.format(
                consumer_id
            )
        )

    instance.query(
        """
        DROP TABLE test.destination;
    """
    )

    assert (
        int(result) == messages_num * num_tables + messages_num * num_tables
    ), "ClickHouse lost some messages: {}".format(result)


def test_rabbitmq_hash_exchange(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.destination;
        CREATE TABLE test.destination(key UInt64, value UInt64, channel_id String)
        ENGINE = MergeTree()
        ORDER BY key;
    """
    )

    num_tables = 4
    for consumer_id in range(num_tables):
        table_name = "rabbitmq_consumer{}".format(consumer_id)
        print(("Setting up {}".format(table_name)))
        instance.query(
            """
            DROP TABLE IF EXISTS test.{0};
            DROP TABLE IF EXISTS test.{0}_mv;
            CREATE TABLE test.{0} (key UInt64, value UInt64)
                ENGINE = RabbitMQ
                SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                         rabbitmq_num_consumers = 4,
                         rabbitmq_num_queues = 2,
                         rabbitmq_exchange_type = 'consistent_hash',
                         rabbitmq_exchange_name = 'hash_exchange_testing',
                         rabbitmq_format = 'JSONEachRow',
                         rabbitmq_flush_interval_ms=1000,
                         rabbitmq_row_delimiter = '\\n';
            CREATE MATERIALIZED VIEW test.{0}_mv TO test.destination AS
                SELECT key, value, _channel_id AS channel_id FROM test.{0};
        """.format(
                table_name
            )
        )

    i = [0]
    messages_num = 500

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )

    def produce():
        # init connection here because otherwise python rabbitmq client might fail
        connection = pika.BlockingConnection(parameters)
        channel = connection.channel()
        messages = []
        for _ in range(messages_num):
            messages.append(json.dumps({"key": i[0], "value": i[0]}))
            i[0] += 1
        for msg_id in range(messages_num):
            channel.basic_publish(
                exchange="hash_exchange_testing",
                routing_key=str(msg_id),
                properties=pika.BasicProperties(message_id=str(msg_id)),
                body=messages[msg_id],
            )
        connection.close()

    threads = []
    threads_num = 10

    for _ in range(threads_num):
        threads.append(threading.Thread(target=produce))
    for thread in threads:
        time.sleep(random.uniform(0, 1))
        thread.start()

    result1 = ""
    while True:
        result1 = instance.query("SELECT count() FROM test.destination")
        time.sleep(1)
        if int(result1) == messages_num * threads_num:
            break

    result2 = instance.query("SELECT count(DISTINCT channel_id) FROM test.destination")

    for consumer_id in range(num_tables):
        table_name = "rabbitmq_consumer{}".format(consumer_id)
        instance.query(
            """
            DROP TABLE test.{0}_mv;
            DROP TABLE test.{0};
        """.format(
                table_name
            )
        )

    instance.query(
        """
        DROP TABLE test.destination;
    """
    )

    for thread in threads:
        thread.join()

    assert (
        int(result1) == messages_num * threads_num
    ), "ClickHouse lost some messages: {}".format(result)
    assert int(result2) == 4 * num_tables


def test_rabbitmq_multiple_bindings(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.destination;
        CREATE TABLE test.destination(key UInt64, value UInt64)
        ENGINE = MergeTree()
        ORDER BY key;
    """
    )

    instance.query(
        """
        DROP TABLE IF EXISTS test.bindings;
        DROP TABLE IF EXISTS test.bindings_mv;
        CREATE TABLE test.bindings (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'multiple_bindings_testing',
                     rabbitmq_exchange_type = 'direct',
                     rabbitmq_routing_key_list = 'key1,key2,key3,key4,key5',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_row_delimiter = '\\n';
        CREATE MATERIALIZED VIEW test.bindings_mv TO test.destination AS
            SELECT * FROM test.bindings;
    """
    )

    i = [0]
    messages_num = 500

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )

    def produce():
        # init connection here because otherwise python rabbitmq client might fail
        connection = pika.BlockingConnection(parameters)
        channel = connection.channel()

        messages = []
        for _ in range(messages_num):
            messages.append(json.dumps({"key": i[0], "value": i[0]}))
            i[0] += 1

        keys = ["key1", "key2", "key3", "key4", "key5"]

        for key in keys:
            for message in messages:
                channel.basic_publish(
                    exchange="multiple_bindings_testing", routing_key=key, body=message
                )

        connection.close()

    threads = []
    threads_num = 10

    for _ in range(threads_num):
        threads.append(threading.Thread(target=produce))
    for thread in threads:
        time.sleep(random.uniform(0, 1))
        thread.start()

    while True:
        result = instance.query("SELECT count() FROM test.destination")
        time.sleep(1)
        if int(result) == messages_num * threads_num * 5:
            break

    for thread in threads:
        thread.join()

    instance.query(
        """
        DROP TABLE test.bindings;
        DROP TABLE test.bindings_mv;
        DROP TABLE test.destination;
    """
    )

    assert (
        int(result) == messages_num * threads_num * 5
    ), "ClickHouse lost some messages: {}".format(result)


def test_rabbitmq_headers_exchange(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.destination;
        CREATE TABLE test.destination(key UInt64, value UInt64)
        ENGINE = MergeTree()
        ORDER BY key;
    """
    )

    num_tables_to_receive = 2
    for consumer_id in range(num_tables_to_receive):
        print(("Setting up table {}".format(consumer_id)))
        instance.query(
            """
            DROP TABLE IF EXISTS test.headers_exchange_{0};
            DROP TABLE IF EXISTS test.headers_exchange_{0}_mv;
            CREATE TABLE test.headers_exchange_{0} (key UInt64, value UInt64)
                ENGINE = RabbitMQ
                SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                         rabbitmq_num_consumers = 2,
                         rabbitmq_exchange_name = 'headers_exchange_testing',
                         rabbitmq_exchange_type = 'headers',
                         rabbitmq_flush_interval_ms=1000,
                         rabbitmq_max_block_size=100,
                         rabbitmq_routing_key_list = 'x-match=all,format=logs,type=report,year=2020',
                         rabbitmq_format = 'JSONEachRow',
                         rabbitmq_row_delimiter = '\\n';
            CREATE MATERIALIZED VIEW test.headers_exchange_{0}_mv TO test.destination AS
            SELECT key, value FROM test.headers_exchange_{0};
        """.format(
                consumer_id
            )
        )

    num_tables_to_ignore = 2
    for consumer_id in range(num_tables_to_ignore):
        print(("Setting up table {}".format(consumer_id + num_tables_to_receive)))
        instance.query(
            """
            DROP TABLE IF EXISTS test.headers_exchange_{0};
            DROP TABLE IF EXISTS test.headers_exchange_{0}_mv;
            CREATE TABLE test.headers_exchange_{0} (key UInt64, value UInt64)
                ENGINE = RabbitMQ
                SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                         rabbitmq_exchange_name = 'headers_exchange_testing',
                         rabbitmq_exchange_type = 'headers',
                         rabbitmq_routing_key_list = 'x-match=all,format=logs,type=report,year=2019',
                         rabbitmq_format = 'JSONEachRow',
                         rabbitmq_flush_interval_ms=1000,
                         rabbitmq_max_block_size=100,
                         rabbitmq_row_delimiter = '\\n';
            CREATE MATERIALIZED VIEW test.headers_exchange_{0}_mv TO test.destination AS
            SELECT key, value FROM test.headers_exchange_{0};
        """.format(
                consumer_id + num_tables_to_receive
            )
        )

    i = [0]
    messages_num = 1000

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    messages = []
    for _ in range(messages_num):
        messages.append(json.dumps({"key": i[0], "value": i[0]}))
        i[0] += 1

    fields = {}
    fields["format"] = "logs"
    fields["type"] = "report"
    fields["year"] = "2020"

    for msg_id in range(messages_num):
        channel.basic_publish(
            exchange="headers_exchange_testing",
            routing_key="",
            properties=pika.BasicProperties(headers=fields, message_id=str(msg_id)),
            body=messages[msg_id],
        )

    connection.close()

    while True:
        result = instance.query("SELECT count() FROM test.destination")
        time.sleep(1)
        if int(result) == messages_num * num_tables_to_receive:
            break

    for consumer_id in range(num_tables_to_receive + num_tables_to_ignore):
        instance.query(
            """
            DROP TABLE test.headers_exchange_{0}_mv;
            DROP TABLE test.headers_exchange_{0};
        """.format(
                consumer_id
            )
        )

    instance.query(
        """
        DROP TABLE test.destination;
    """
    )

    assert (
        int(result) == messages_num * num_tables_to_receive
    ), "ClickHouse lost some messages: {}".format(result)


def test_rabbitmq_virtual_columns(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq_virtuals (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'virtuals',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_format = 'JSONEachRow';
        CREATE MATERIALIZED VIEW test.view Engine=Log AS
        SELECT value, key, _exchange_name, _channel_id, _delivery_tag, _redelivered FROM test.rabbitmq_virtuals;
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    message_num = 10
    i = 0
    messages = []
    for _ in range(message_num):
        messages.append(json.dumps({"key": i, "value": i}))
        i += 1

    for message in messages:
        channel.basic_publish(exchange="virtuals", routing_key="", body=message)

    while True:
        result = instance.query("SELECT count() FROM test.view")
        time.sleep(1)
        if int(result) == message_num:
            break

    connection.close()

    result = instance.query(
        """
        SELECT key, value, _exchange_name, SUBSTRING(_channel_id, 1, 3), _delivery_tag, _redelivered
        FROM test.view ORDER BY key
    """
    )

    expected = """\
0	0	virtuals	1_0	1	0
1	1	virtuals	1_0	2	0
2	2	virtuals	1_0	3	0
3	3	virtuals	1_0	4	0
4	4	virtuals	1_0	5	0
5	5	virtuals	1_0	6	0
6	6	virtuals	1_0	7	0
7	7	virtuals	1_0	8	0
8	8	virtuals	1_0	9	0
9	9	virtuals	1_0	10	0
"""

    instance.query(
        """
        DROP TABLE test.rabbitmq_virtuals;
        DROP TABLE test.view;
    """
    )

    assert TSV(result) == TSV(expected)


def test_rabbitmq_virtual_columns_with_materialized_view(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq_virtuals_mv (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'virtuals_mv',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_format = 'JSONEachRow';
        CREATE TABLE test.view (key UInt64, value UInt64,
            exchange_name String, channel_id String, delivery_tag UInt64, redelivered UInt8) ENGINE = MergeTree()
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
        SELECT *, _exchange_name as exchange_name, _channel_id as channel_id, _delivery_tag as delivery_tag, _redelivered as redelivered
        FROM test.rabbitmq_virtuals_mv;
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    message_num = 10
    i = 0
    messages = []
    for _ in range(message_num):
        messages.append(json.dumps({"key": i, "value": i}))
        i += 1

    for message in messages:
        channel.basic_publish(exchange="virtuals_mv", routing_key="", body=message)

    while True:
        result = instance.query("SELECT count() FROM test.view")
        time.sleep(1)
        if int(result) == message_num:
            break

    connection.close()

    result = instance.query(
        "SELECT key, value, exchange_name, SUBSTRING(channel_id, 1, 3), delivery_tag, redelivered FROM test.view ORDER BY delivery_tag"
    )
    expected = """\
0	0	virtuals_mv	1_0	1	0
1	1	virtuals_mv	1_0	2	0
2	2	virtuals_mv	1_0	3	0
3	3	virtuals_mv	1_0	4	0
4	4	virtuals_mv	1_0	5	0
5	5	virtuals_mv	1_0	6	0
6	6	virtuals_mv	1_0	7	0
7	7	virtuals_mv	1_0	8	0
8	8	virtuals_mv	1_0	9	0
9	9	virtuals_mv	1_0	10	0
"""

    instance.query(
        """
        DROP TABLE test.consumer;
        DROP TABLE test.view;
        DROP TABLE test.rabbitmq_virtuals_mv
    """
    )

    assert TSV(result) == TSV(expected)


def test_rabbitmq_many_consumers_to_each_queue(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.destination;
        CREATE TABLE test.destination(key UInt64, value UInt64, channel_id String)
        ENGINE = MergeTree()
        ORDER BY key;
    """
    )

    num_tables = 4
    for table_id in range(num_tables):
        print(("Setting up table {}".format(table_id)))
        instance.query(
            """
            DROP TABLE IF EXISTS test.many_consumers_{0};
            DROP TABLE IF EXISTS test.many_consumers_{0}_mv;
            CREATE TABLE test.many_consumers_{0} (key UInt64, value UInt64)
                ENGINE = RabbitMQ
                SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                         rabbitmq_exchange_name = 'many_consumers',
                         rabbitmq_num_queues = 2,
                         rabbitmq_num_consumers = 2,
                         rabbitmq_flush_interval_ms=1000,
                         rabbitmq_max_block_size=100,
                         rabbitmq_queue_base = 'many_consumers',
                         rabbitmq_format = 'JSONEachRow',
                         rabbitmq_row_delimiter = '\\n';
            CREATE MATERIALIZED VIEW test.many_consumers_{0}_mv TO test.destination AS
            SELECT key, value, _channel_id as channel_id FROM test.many_consumers_{0};
        """.format(
                table_id
            )
        )

    i = [0]
    messages_num = 1000

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )

    def produce():
        connection = pika.BlockingConnection(parameters)
        channel = connection.channel()

        messages = []
        for _ in range(messages_num):
            messages.append(json.dumps({"key": i[0], "value": i[0]}))
            i[0] += 1
        for msg_id in range(messages_num):
            channel.basic_publish(
                exchange="many_consumers",
                routing_key="",
                properties=pika.BasicProperties(message_id=str(msg_id)),
                body=messages[msg_id],
            )
        connection.close()

    threads = []
    threads_num = 20

    for _ in range(threads_num):
        threads.append(threading.Thread(target=produce))
    for thread in threads:
        time.sleep(random.uniform(0, 1))
        thread.start()

    result1 = ""
    while True:
        result1 = instance.query("SELECT count() FROM test.destination")
        time.sleep(1)
        if int(result1) == messages_num * threads_num:
            break

    result2 = instance.query("SELECT count(DISTINCT channel_id) FROM test.destination")

    for thread in threads:
        thread.join()

    for consumer_id in range(num_tables):
        instance.query(
            """
            DROP TABLE test.many_consumers_{0};
            DROP TABLE test.many_consumers_{0}_mv;
        """.format(
                consumer_id
            )
        )

    instance.query(
        """
        DROP TABLE test.destination;
    """
    )

    assert (
        int(result1) == messages_num * threads_num
    ), "ClickHouse lost some messages: {}".format(result)
    # 4 tables, 2 consumers for each table => 8 consumer tags
    assert int(result2) == 8


def test_rabbitmq_restore_failed_connection_without_losses_1(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.consume;
        CREATE TABLE test.view (key UInt64, value UInt64)
            ENGINE = MergeTree
            ORDER BY key;
        CREATE TABLE test.consume (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_flush_interval_ms=500,
                     rabbitmq_max_block_size = 100,
                     rabbitmq_exchange_name = 'producer_reconnect',
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_num_consumers = 2,
                     rabbitmq_row_delimiter = '\\n';
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.consume;
        DROP TABLE IF EXISTS test.producer_reconnect;
        CREATE TABLE test.producer_reconnect (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'producer_reconnect',
                     rabbitmq_persistent = '1',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_row_delimiter = '\\n';
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    messages_num = 100000
    values = []
    for i in range(messages_num):
        values.append("({i}, {i})".format(i=i))
    values = ",".join(values)

    while True:
        try:
            instance.query(
                "INSERT INTO test.producer_reconnect VALUES {}".format(values)
            )
            break
        except QueryRuntimeException as e:
            if "Local: Timed out." in str(e):
                continue
            else:
                raise

    while int(instance.query("SELECT count() FROM test.view")) == 0:
        time.sleep(0.1)

    kill_rabbitmq(rabbitmq_cluster.rabbitmq_docker_id)
    time.sleep(4)
    revive_rabbitmq(rabbitmq_cluster.rabbitmq_docker_id)

    while True:
        result = instance.query("SELECT count(DISTINCT key) FROM test.view")
        time.sleep(1)
        if int(result) == messages_num:
            break

    instance.query(
        """
        DROP TABLE test.consume;
        DROP TABLE test.producer_reconnect;
    """
    )

    assert int(result) == messages_num, "ClickHouse lost some messages: {}".format(
        result
    )


@pytest.mark.skip(reason="Timeout: FIXME")
def test_rabbitmq_restore_failed_connection_without_losses_2(rabbitmq_cluster):
    logging.getLogger("pika").propagate = False
    instance.query(
        """
        CREATE TABLE test.consumer_reconnect (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'consumer_reconnect',
                     rabbitmq_num_consumers = 10,
                     rabbitmq_flush_interval_ms = 100,
                     rabbitmq_max_block_size = 100,
                     rabbitmq_num_queues = 10,
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_row_delimiter = '\\n';
    """
    )

    i = 0
    messages_num = 150000

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )

    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()
    messages = []
    for _ in range(messages_num):
        messages.append(json.dumps({"key": i, "value": i}))
        i += 1
    for msg_id in range(messages_num):
        channel.basic_publish(
            exchange="consumer_reconnect",
            routing_key="",
            body=messages[msg_id],
            properties=pika.BasicProperties(delivery_mode=2, message_id=str(msg_id)),
        )
    connection.close()
    instance.query(
        """
        CREATE TABLE test.view (key UInt64, value UInt64)
            ENGINE = MergeTree
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.consumer_reconnect;
    """
    )

    while int(instance.query("SELECT count() FROM test.view")) == 0:
        print(3)
        time.sleep(0.1)

    kill_rabbitmq(rabbitmq_cluster.rabbitmq_docker_id)
    time.sleep(8)
    revive_rabbitmq(rabbitmq_cluster.rabbitmq_docker_id)

    # while int(instance.query('SELECT count() FROM test.view')) == 0:
    #    time.sleep(0.1)

    # kill_rabbitmq()
    # time.sleep(2)
    # revive_rabbitmq()

    while True:
        result = instance.query("SELECT count(DISTINCT key) FROM test.view").strip()
        if int(result) == messages_num:
            break
        print(f"Result: {result} / {messages_num}")
        time.sleep(1)

    instance.query(
        """
        DROP TABLE test.consumer;
        DROP TABLE test.consumer_reconnect;
    """
    )

    assert int(result) == messages_num, "ClickHouse lost some messages: {}".format(
        result
    )


def test_rabbitmq_commit_on_block_write(rabbitmq_cluster):
    logging.getLogger("pika").propagate = False
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'block',
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_queue_base = 'block',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size = 100,
                     rabbitmq_row_delimiter = '\\n';
        CREATE TABLE test.view (key UInt64, value UInt64)
            ENGINE = MergeTree()
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.rabbitmq;
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    cancel = threading.Event()

    i = [0]

    def produce():
        while not cancel.is_set():
            messages = []
            for _ in range(101):
                messages.append(json.dumps({"key": i[0], "value": i[0]}))
                i[0] += 1
            for message in messages:
                channel.basic_publish(exchange="block", routing_key="", body=message)

    rabbitmq_thread = threading.Thread(target=produce)
    rabbitmq_thread.start()

    while int(instance.query("SELECT count() FROM test.view")) == 0:
        time.sleep(1)

    cancel.set()

    instance.query("DETACH TABLE test.rabbitmq;")

    while (
        int(
            instance.query(
                "SELECT count() FROM system.tables WHERE database='test' AND name='rabbitmq'"
            )
        )
        == 1
    ):
        time.sleep(1)

    instance.query("ATTACH TABLE test.rabbitmq;")

    while int(instance.query("SELECT uniqExact(key) FROM test.view")) < i[0]:
        time.sleep(1)

    result = int(instance.query("SELECT count() == uniqExact(key) FROM test.view"))

    instance.query(
        """
        DROP TABLE test.consumer;
        DROP TABLE test.view;
    """
    )

    rabbitmq_thread.join()
    connection.close()

    assert result == 1, "Messages from RabbitMQ get duplicated!"


def test_rabbitmq_no_connection_at_startup_1(rabbitmq_cluster):
    # no connection when table is initialized
    rabbitmq_cluster.pause_container("rabbitmq1")
    instance.query_and_get_error(
        """
        CREATE TABLE test.cs (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'cs',
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_num_consumers = '5',
                     rabbitmq_row_delimiter = '\\n';
    """
    )
    rabbitmq_cluster.unpause_container("rabbitmq1")


def test_rabbitmq_no_connection_at_startup_2(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.cs (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'cs',
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_num_consumers = '5',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_max_block_size=100,
                     rabbitmq_row_delimiter = '\\n';
        CREATE TABLE test.view (key UInt64, value UInt64)
            ENGINE = MergeTree
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.cs;
    """
    )
    instance.query("DETACH TABLE test.cs")
    rabbitmq_cluster.pause_container("rabbitmq1")
    instance.query("ATTACH TABLE test.cs")
    rabbitmq_cluster.unpause_container("rabbitmq1")

    messages_num = 1000
    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()
    for i in range(messages_num):
        message = json.dumps({"key": i, "value": i})
        channel.basic_publish(
            exchange="cs",
            routing_key="",
            body=message,
            properties=pika.BasicProperties(delivery_mode=2, message_id=str(i)),
        )
    connection.close()

    while True:
        result = instance.query("SELECT count() FROM test.view")
        time.sleep(1)
        if int(result) == messages_num:
            break

    instance.query(
        """
        DROP TABLE test.consumer;
        DROP TABLE test.cs;
    """
    )

    assert int(result) == messages_num, "ClickHouse lost some messages: {}".format(
        result
    )


def test_rabbitmq_format_factory_settings(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.format_settings (
            id String, date DateTime
        ) ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'format_settings',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_format = 'JSONEachRow',
                     date_time_input_format = 'best_effort';
        """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    message = json.dumps(
        {"id": "format_settings_test", "date": "2021-01-19T14:42:33.1829214Z"}
    )
    expected = instance.query(
        """SELECT parseDateTimeBestEffort(CAST('2021-01-19T14:42:33.1829214Z', 'String'))"""
    )

    channel.basic_publish(exchange="format_settings", routing_key="", body=message)
    result = ""
    while True:
        result = instance.query("SELECT date FROM test.format_settings")
        if result == expected:
            break

    instance.query(
        """
        CREATE TABLE test.view (
            id String, date DateTime
        ) ENGINE = MergeTree ORDER BY id;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.format_settings;
        """
    )

    channel.basic_publish(exchange="format_settings", routing_key="", body=message)
    result = ""
    while True:
        result = instance.query("SELECT date FROM test.view")
        if result == expected:
            break

    connection.close()
    instance.query(
        """
        DROP TABLE test.consumer;
        DROP TABLE test.format_settings;
    """
    )

    assert result == expected


def test_rabbitmq_vhost(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq_vhost (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'vhost',
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_vhost = '/'
        """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()
    channel.basic_publish(
        exchange="vhost", routing_key="", body=json.dumps({"key": 1, "value": 2})
    )
    connection.close()
    while True:
        result = instance.query(
            "SELECT * FROM test.rabbitmq_vhost ORDER BY key", ignore_error=True
        )
        if result == "1\t2\n":
            break


def test_rabbitmq_drop_table_properly(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq_drop (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_exchange_name = 'drop',
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_queue_base = 'rabbit_queue_drop'
        """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    channel.basic_publish(
        exchange="drop", routing_key="", body=json.dumps({"key": 1, "value": 2})
    )
    while True:
        result = instance.query(
            "SELECT * FROM test.rabbitmq_drop ORDER BY key", ignore_error=True
        )
        if result == "1\t2\n":
            break

    exists = channel.queue_declare(queue="rabbit_queue_drop", passive=True)
    assert exists

    instance.query("DROP TABLE test.rabbitmq_drop")
    time.sleep(30)

    try:
        exists = channel.queue_declare(
            callback, queue="rabbit_queue_drop", passive=True
        )
    except Exception as e:
        exists = False

    assert not exists


def test_rabbitmq_queue_settings(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq_settings (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'rabbit_exchange',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_queue_base = 'rabbit_queue_settings',
                     rabbitmq_queue_settings_list = 'x-max-length=10,x-overflow=reject-publish'
        """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    for i in range(50):
        channel.basic_publish(
            exchange="rabbit_exchange",
            routing_key="",
            body=json.dumps({"key": 1, "value": 2}),
        )
    connection.close()

    instance.query(
        """
        CREATE TABLE test.view (key UInt64, value UInt64)
        ENGINE = MergeTree ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.rabbitmq_settings;
        """
    )

    time.sleep(5)

    while True:
        result = instance.query("SELECT count() FROM test.view", ignore_error=True)
        if int(result) == 10:
            break
        time.sleep(0.5)

    instance.query("DROP TABLE test.rabbitmq_settings")

    # queue size is 10, but 50 messages were sent, they will be dropped (setting x-overflow = reject-publish) and only 10 will remain.
    assert int(result) == 10


def test_rabbitmq_queue_consume(rabbitmq_cluster):
    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()
    channel.queue_declare(queue="rabbit_queue", durable=True)

    i = [0]
    messages_num = 1000

    def produce():
        connection = pika.BlockingConnection(parameters)
        channel = connection.channel()
        messages = []
        for _ in range(messages_num):
            message = json.dumps({"key": i[0], "value": i[0]})
            channel.basic_publish(exchange="", routing_key="rabbit_queue", body=message)
            i[0] += 1

    threads = []
    threads_num = 10
    for _ in range(threads_num):
        threads.append(threading.Thread(target=produce))
    for thread in threads:
        time.sleep(random.uniform(0, 1))
        thread.start()

    instance.query(
        """
        CREATE TABLE test.rabbitmq_queue (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_queue_base = 'rabbit_queue',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_queue_consume = 1;
        CREATE TABLE test.view (key UInt64, value UInt64)
        ENGINE = MergeTree ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.rabbitmq_queue;
        """
    )

    result = ""
    while True:
        result = instance.query("SELECT count() FROM test.view")
        if int(result) == messages_num * threads_num:
            break
        time.sleep(1)

    for thread in threads:
        thread.join()

    instance.query("DROP TABLE test.rabbitmq_queue")


def test_rabbitmq_produce_consume_avro(rabbitmq_cluster):
    num_rows = 75

    instance.query(
        """
        DROP TABLE IF EXISTS test.view;
        DROP TABLE IF EXISTS test.rabbit;
        DROP TABLE IF EXISTS test.rabbit_writer;

        CREATE TABLE test.rabbit_writer (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_format = 'Avro',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_exchange_name = 'avro',
                     rabbitmq_exchange_type = 'direct',
                     rabbitmq_routing_key_list = 'avro';

        CREATE TABLE test.rabbit (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_format = 'Avro',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_exchange_name = 'avro',
                     rabbitmq_exchange_type = 'direct',
                     rabbitmq_routing_key_list = 'avro';

        CREATE MATERIALIZED VIEW test.view Engine=Log AS
            SELECT key, value FROM test.rabbit;
    """
    )

    instance.query(
        "INSERT INTO test.rabbit_writer select number*10 as key, number*100 as value from numbers({num_rows}) SETTINGS output_format_avro_rows_in_file = 7".format(
            num_rows=num_rows
        )
    )

    # Ideally we should wait for an event
    time.sleep(3)

    expected_num_rows = instance.query(
        "SELECT COUNT(1) FROM test.view", ignore_error=True
    )
    assert int(expected_num_rows) == num_rows

    expected_max_key = instance.query(
        "SELECT max(key) FROM test.view", ignore_error=True
    )
    assert int(expected_max_key) == (num_rows - 1) * 10


def test_rabbitmq_bad_args(rabbitmq_cluster):
    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()
    channel.exchange_declare(exchange="f", exchange_type="fanout")
    instance.query_and_get_error(
        """
        CREATE TABLE test.drop (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_exchange_name = 'f',
                     rabbitmq_format = 'JSONEachRow';
    """
    )


def test_rabbitmq_issue_30691(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq_drop (json String)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_exchange_name = '30691',
                     rabbitmq_row_delimiter = '\\n', -- Works only if adding this setting
                     rabbitmq_format = 'LineAsString',
                     rabbitmq_queue_base = '30691';
        """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    channel.basic_publish(
        exchange="30691",
        routing_key="",
        body=json.dumps(
            {
                "event_type": "purge",
                "as_src": 1234,
                "as_dst": 0,
                "as_path": "",
                "local_pref": 100,
                "med": 0,
                "peer_as_dst": 0,
                "ip_src": "<redacted ipv6>",
                "ip_dst": "<redacted ipv6>",
                "port_src": 443,
                "port_dst": 41930,
                "ip_proto": "tcp",
                "tos": 0,
                "stamp_inserted": "2021-10-26 15:20:00",
                "stamp_updated": "2021-10-26 15:23:14",
                "packets": 2,
                "bytes": 1216,
                "writer_id": "default_amqp/449206",
            }
        ),
    )
    result = ""
    while True:
        result = instance.query("SELECT * FROM test.rabbitmq_drop", ignore_error=True)
        print(result)
        if result != "":
            break
    assert (
        result.strip()
        == """{"event_type": "purge", "as_src": 1234, "as_dst": 0, "as_path": "", "local_pref": 100, "med": 0, "peer_as_dst": 0, "ip_src": "<redacted ipv6>", "ip_dst": "<redacted ipv6>", "port_src": 443, "port_dst": 41930, "ip_proto": "tcp", "tos": 0, "stamp_inserted": "2021-10-26 15:20:00", "stamp_updated": "2021-10-26 15:23:14", "packets": 2, "bytes": 1216, "writer_id": "default_amqp/449206"}"""
    )


def test_rabbitmq_drop_mv(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.drop_mv (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'mv',
                     rabbitmq_format = 'JSONEachRow',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_queue_base = 'drop_mv';
    """
    )
    instance.query(
        """
        CREATE TABLE test.view (key UInt64, value UInt64)
            ENGINE = MergeTree()
            ORDER BY key;
    """
    )
    instance.query(
        """
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.drop_mv;
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    messages = []
    for i in range(20):
        channel.basic_publish(
            exchange="mv", routing_key="", body=json.dumps({"key": i, "value": i})
        )

    while True:
        res = instance.query("SELECT COUNT(*) FROM test.view")
        print(f"Current count (1): {res}")
        if int(res) == 20:
            break
        else:
            logging.debug(f"Number of rows in test.view: {res}")

    instance.query("DROP VIEW test.consumer SYNC")
    for i in range(20, 40):
        channel.basic_publish(
            exchange="mv", routing_key="", body=json.dumps({"key": i, "value": i})
        )

    instance.query(
        """
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.drop_mv;
    """
    )
    for i in range(40, 50):
        channel.basic_publish(
            exchange="mv", routing_key="", body=json.dumps({"key": i, "value": i})
        )

    while True:
        result = instance.query("SELECT count() FROM test.view")
        print(f"Current count (2): {result}")
        if int(result) == 50:
            break
        time.sleep(1)

    result = instance.query("SELECT * FROM test.view ORDER BY key")
    rabbitmq_check_result(result, True)

    instance.query("DROP VIEW test.consumer NO DELAY")
    time.sleep(10)
    for i in range(50, 60):
        channel.basic_publish(
            exchange="mv", routing_key="", body=json.dumps({"key": i, "value": i})
        )
    connection.close()

    count = 0
    start = time.time()
    while time.time() - start < 30:
        count = int(instance.query("SELECT count() FROM test.drop_mv"))
        if count:
            break

    instance.query("DROP TABLE test.drop_mv")
    assert count > 0


def test_rabbitmq_random_detach(rabbitmq_cluster):
    NUM_CONSUMERS = 2
    NUM_QUEUES = 2
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'random',
                     rabbitmq_queue_base = 'random',
                     rabbitmq_num_queues = 2,
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_num_consumers = 2,
                     rabbitmq_format = 'JSONEachRow';
        CREATE TABLE test.view (key UInt64, value UInt64, channel_id String)
            ENGINE = MergeTree
            ORDER BY key;
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT *, _channel_id AS channel_id FROM test.rabbitmq;
    """
    )

    i = [0]
    messages_num = 10000

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )

    def produce():
        connection = pika.BlockingConnection(parameters)
        channel = connection.channel()

        messages = []
        for j in range(messages_num):
            messages.append(json.dumps({"key": i[0], "value": i[0]}))
            i[0] += 1
            mes_id = str(i)
            channel.basic_publish(
                exchange="test_sharding",
                routing_key="",
                properties=pika.BasicProperties(message_id=mes_id),
                body=message,
            )
        connection.close()

    threads = []
    threads_num = 20

    for _ in range(threads_num):
        threads.append(threading.Thread(target=produce))
    for thread in threads:
        time.sleep(random.uniform(0, 1))
        thread.start()

    # time.sleep(5)
    # kill_rabbitmq(rabbitmq_cluster.rabbitmq_docker_id)
    # instance.query("detach table test.rabbitmq")
    # revive_rabbitmq(rabbitmq_cluster.rabbitmq_docker_id)

    for thread in threads:
        thread.join()


def test_rabbitmq_predefined_configuration(rabbitmq_cluster):
    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    connection = pika.BlockingConnection(parameters)
    channel = connection.channel()

    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ(rabbit1, rabbitmq_vhost = '/')
            SETTINGS rabbitmq_flush_interval_ms=1000;
        """
    )

    channel.basic_publish(
        exchange="named", routing_key="", body=json.dumps({"key": 1, "value": 2})
    )
    while True:
        result = instance.query(
            "SELECT * FROM test.rabbitmq ORDER BY key", ignore_error=True
        )
        if result == "1\t2\n":
            break
    instance.restart_clickhouse()
    channel.basic_publish(
        exchange="named", routing_key="", body=json.dumps({"key": 1, "value": 2})
    )
    while True:
        result = instance.query(
            "SELECT * FROM test.rabbitmq ORDER BY key", ignore_error=True
        )
        if result == "1\t2\n":
            break


def test_rabbitmq_msgpack(rabbitmq_cluster):
    instance.query(
        """
        drop table if exists rabbit_in;
        drop table if exists rabbit_out;
        create table
            rabbit_in (val String)
            engine=RabbitMQ
            settings rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'xhep',
                     rabbitmq_format = 'MsgPack',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_num_consumers = 1;
        create table
            rabbit_out (val String)
            engine=RabbitMQ
            settings rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'xhep',
                     rabbitmq_format = 'MsgPack',
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_num_consumers = 1;
        set stream_like_engine_allow_direct_select=1;
        insert into rabbit_out select 'kek';
        """
    )

    result = ""
    try_no = 0
    while True:
        result = instance.query("select * from rabbit_in;")
        if result.strip() == "kek":
            break
        else:
            try_no = try_no + 1
            if try_no == 20:
                break
        time.sleep(1)
    assert result.strip() == "kek"

    instance.query("drop table rabbit_in sync")
    instance.query("drop table rabbit_out sync")


def test_rabbitmq_address(rabbitmq_cluster):
    instance2.query(
        """
        drop table if exists rabbit_in;
        drop table if exists rabbit_out;
        create table
            rabbit_in (val String)
            engine=RabbitMQ
            SETTINGS rabbitmq_exchange_name = 'rxhep',
                     rabbitmq_format = 'CSV',
                     rabbitmq_num_consumers = 1,
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_address='amqp://root:clickhouse@rabbitmq1:5672/';
        create table
            rabbit_out (val String) engine=RabbitMQ
            SETTINGS rabbitmq_exchange_name = 'rxhep',
                     rabbitmq_format = 'CSV',
                     rabbitmq_num_consumers = 1,
                     rabbitmq_flush_interval_ms=1000,
                     rabbitmq_address='amqp://root:clickhouse@rabbitmq1:5672/';
        set stream_like_engine_allow_direct_select=1;
        insert into rabbit_out select 'kek';
    """
    )

    result = ""
    try_no = 0
    while True:
        result = instance2.query("select * from rabbit_in;")
        if result.strip() == "kek":
            break
        else:
            try_no = try_no + 1
            if try_no == 20:
                break
        time.sleep(1)
    assert result.strip() == "kek"

    instance2.query("drop table rabbit_in sync")
    instance2.query("drop table rabbit_out sync")


@pytest.mark.skip(reason="FIXME: flaky (something with channel.start_consuming()")
def test_format_with_prefix_and_suffix(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'insert',
                     rabbitmq_exchange_type = 'direct',
                     rabbitmq_routing_key_list = 'custom',
                     rabbitmq_format = 'CustomSeparated';
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    consumer_connection = pika.BlockingConnection(parameters)

    consumer = consumer_connection.channel()
    result = consumer.queue_declare(queue="")
    queue_name = result.method.queue
    consumer.queue_bind(exchange="insert", queue=queue_name, routing_key="custom")

    instance.query(
        "INSERT INTO test.rabbitmq select number*10 as key, number*100 as value from numbers(2) settings format_custom_result_before_delimiter='<prefix>\n', format_custom_result_after_delimiter='<suffix>\n'"
    )

    insert_messages = []

    def onReceived(channel, method, properties, body):
        message = body.decode()
        insert_messages.append(message)
        print(f"Received {len(insert_messages)} message: {message}")
        if len(insert_messages) == 2:
            channel.stop_consuming()

    consumer.basic_consume(onReceived, queue_name)

    consumer.start_consuming()
    consumer_connection.close()

    assert (
        "".join(insert_messages)
        == "<prefix>\n0\t0\n<suffix>\n<prefix>\n10\t100\n<suffix>\n"
    )


@pytest.mark.skip(reason="FIXME: flaky (something with channel.start_consuming()")
def test_max_rows_per_message(rabbitmq_cluster):
    num_rows = 5

    instance.query(
        """
        DROP TABLE IF EXISTS test.view;
        DROP TABLE IF EXISTS test.rabbit;

        CREATE TABLE test.rabbit (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_format = 'CustomSeparated',
                     rabbitmq_exchange_name = 'custom',
                     rabbitmq_exchange_type = 'direct',
                     rabbitmq_routing_key_list = 'custom1',
                     rabbitmq_max_rows_per_message = 3,
                     rabbitmq_flush_interval_ms = 1000,
                     format_custom_result_before_delimiter = '<prefix>\n',
                     format_custom_result_after_delimiter = '<suffix>\n';

        CREATE MATERIALIZED VIEW test.view Engine=Log AS
            SELECT key, value FROM test.rabbit;
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    consumer_connection = pika.BlockingConnection(parameters)

    consumer = consumer_connection.channel()
    result = consumer.queue_declare(queue="")
    queue_name = result.method.queue
    consumer.queue_bind(exchange="custom", queue=queue_name, routing_key="custom1")

    instance.query(
        f"INSERT INTO test.rabbit select number*10 as key, number*100 as value from numbers({num_rows}) settings format_custom_result_before_delimiter='<prefix>\n', format_custom_result_after_delimiter='<suffix>\n'"
    )

    insert_messages = []

    def onReceived(channel, method, properties, body):
        insert_messages.append(body.decode())
        if len(insert_messages) == 2:
            channel.stop_consuming()

    consumer.basic_consume(onReceived, queue_name)
    consumer.start_consuming()
    consumer_connection.close()

    assert len(insert_messages) == 2

    assert (
        "".join(insert_messages)
        == "<prefix>\n0\t0\n10\t100\n20\t200\n<suffix>\n<prefix>\n30\t300\n40\t400\n<suffix>\n"
    )

    attempt = 0
    rows = 0
    while attempt < 100:
        rows = int(instance.query("SELECT count() FROM test.view"))
        if rows == num_rows:
            break
        attempt += 1

    assert rows == num_rows

    result = instance.query("SELECT * FROM test.view")
    assert result == "0\t0\n10\t100\n20\t200\n30\t300\n40\t400\n"


@pytest.mark.skip(reason="FIXME: flaky (something with channel.start_consuming()")
def test_row_based_formats(rabbitmq_cluster):
    num_rows = 10

    for format_name in [
        "TSV",
        "TSVWithNamesAndTypes",
        "TSKV",
        "CSV",
        "CSVWithNamesAndTypes",
        "CustomSeparatedWithNamesAndTypes",
        "Values",
        "JSON",
        "JSONEachRow",
        "JSONCompactEachRow",
        "JSONCompactEachRowWithNamesAndTypes",
        "JSONObjectEachRow",
        "Avro",
        "RowBinary",
        "RowBinaryWithNamesAndTypes",
        "MsgPack",
    ]:
        print(format_name)

        instance.query(
            f"""
            DROP TABLE IF EXISTS test.view;
            DROP TABLE IF EXISTS test.rabbit;

            CREATE TABLE test.rabbit (key UInt64, value UInt64)
                ENGINE = RabbitMQ
                SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                         rabbitmq_format = '{format_name}',
                         rabbitmq_exchange_name = '{format_name}',
                         rabbitmq_exchange_type = 'direct',
                         rabbitmq_max_block_size = 100,
                         rabbitmq_flush_interval_ms = 1000,
                         rabbitmq_routing_key_list = '{format_name}',
                         rabbitmq_max_rows_per_message = 5;

            CREATE MATERIALIZED VIEW test.view Engine=Log AS
                SELECT key, value FROM test.rabbit;
        """
        )

        credentials = pika.PlainCredentials("root", "clickhouse")
        parameters = pika.ConnectionParameters(
            rabbitmq_cluster.rabbitmq_ip,
            rabbitmq_cluster.rabbitmq_port,
            "/",
            credentials,
        )
        consumer_connection = pika.BlockingConnection(parameters)

        consumer = consumer_connection.channel()
        result = consumer.queue_declare(queue="")
        queue_name = result.method.queue
        consumer.queue_bind(
            exchange=format_name, queue=queue_name, routing_key=format_name
        )

        instance.query(
            f"INSERT INTO test.rabbit SELECT number * 10 as key, number * 100 as value FROM numbers({num_rows});"
        )

        insert_messages = 0

        def onReceived(channel, method, properties, body):
            nonlocal insert_messages
            insert_messages += 1
            if insert_messages == 2:
                channel.stop_consuming()

        consumer.basic_consume(onReceived, queue_name)
        consumer.start_consuming()
        consumer_connection.close()

        assert insert_messages == 2

        attempt = 0
        rows = 0
        while attempt < 100:
            rows = int(instance.query("SELECT count() FROM test.view"))
            if rows == num_rows:
                break
            attempt += 1

        assert rows == num_rows

        expected = ""
        for i in range(num_rows):
            expected += str(i * 10) + "\t" + str(i * 100) + "\n"

        result = instance.query("SELECT * FROM test.view")
        assert result == expected


@pytest.mark.skip(reason="FIXME: flaky (something with channel.start_consuming()")
def test_block_based_formats_1(rabbitmq_cluster):
    instance.query(
        """
        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'PrettySpace',
                     rabbitmq_exchange_type = 'direct',
                     rabbitmq_max_block_size = 100,
                     rabbitmq_flush_interval_ms = 1000,
                     rabbitmq_routing_key_list = 'PrettySpace',
                     rabbitmq_format = 'PrettySpace';
    """
    )

    credentials = pika.PlainCredentials("root", "clickhouse")
    parameters = pika.ConnectionParameters(
        rabbitmq_cluster.rabbitmq_ip, rabbitmq_cluster.rabbitmq_port, "/", credentials
    )
    consumer_connection = pika.BlockingConnection(parameters)

    consumer = consumer_connection.channel()
    result = consumer.queue_declare(queue="")
    queue_name = result.method.queue
    consumer.queue_bind(
        exchange="PrettySpace", queue=queue_name, routing_key="PrettySpace"
    )

    instance.query(
        "INSERT INTO test.rabbitmq SELECT number * 10 as key, number * 100 as value FROM numbers(5) settings max_block_size=2, optimize_trivial_insert_select=0;"
    )
    insert_messages = []

    def onReceived(channel, method, properties, body):
        insert_messages.append(body.decode())
        if len(insert_messages) == 3:
            channel.stop_consuming()

    consumer.basic_consume(onReceived, queue_name)
    consumer.start_consuming()
    consumer_connection.close()

    assert len(insert_messages) == 3

    data = []
    for message in insert_messages:
        splitted = message.split("\n")
        assert splitted[0] == " \x1b[1mkey\x1b[0m   \x1b[1mvalue\x1b[0m"
        assert splitted[1] == ""
        assert splitted[-1] == ""
        data += [line.split() for line in splitted[2:-1]]

    assert data == [
        ["0", "0"],
        ["10", "100"],
        ["20", "200"],
        ["30", "300"],
        ["40", "400"],
    ]


@pytest.mark.skip(reason="FIXME: flaky (something with channel.start_consuming()")
def test_block_based_formats_2(rabbitmq_cluster):
    num_rows = 100

    for format_name in [
        "JSONColumns",
        "Native",
        "Arrow",
        "Parquet",
        "ORC",
        "JSONCompactColumns",
    ]:
        print(format_name)

        instance.query(
            f"""
            DROP TABLE IF EXISTS test.view;
            DROP TABLE IF EXISTS test.rabbit;

            CREATE TABLE test.rabbit (key UInt64, value UInt64)
                ENGINE = RabbitMQ
                SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                         rabbitmq_format = '{format_name}',
                         rabbitmq_exchange_name = '{format_name}',
                         rabbitmq_exchange_type = 'direct',
                         rabbitmq_max_block_size = 100,
                         rabbitmq_flush_interval_ms = 1000,
                         rabbitmq_routing_key_list = '{format_name}';

            CREATE MATERIALIZED VIEW test.view Engine=Log AS
                SELECT key, value FROM test.rabbit;
        """
        )

        credentials = pika.PlainCredentials("root", "clickhouse")
        parameters = pika.ConnectionParameters(
            rabbitmq_cluster.rabbitmq_ip,
            rabbitmq_cluster.rabbitmq_port,
            "/",
            credentials,
        )
        consumer_connection = pika.BlockingConnection(parameters)

        consumer = consumer_connection.channel()
        result = consumer.queue_declare(queue="")
        queue_name = result.method.queue
        consumer.queue_bind(
            exchange=format_name, queue=queue_name, routing_key=format_name
        )

        instance.query(
            f"INSERT INTO test.rabbit SELECT number * 10 as key, number * 100 as value FROM numbers({num_rows}) settings max_block_size=12, optimize_trivial_insert_select=0;"
        )

        insert_messages = 0

        def onReceived(channel, method, properties, body):
            nonlocal insert_messages
            insert_messages += 1
            if insert_messages == 9:
                channel.stop_consuming()

        consumer.basic_consume(onReceived, queue_name)
        consumer.start_consuming()
        consumer_connection.close()

        assert insert_messages == 9

        attempt = 0
        rows = 0
        while attempt < 100:
            rows = int(instance.query("SELECT count() FROM test.view"))
            if rows == num_rows:
                break
            attempt += 1

        assert rows == num_rows

        result = instance.query("SELECT * FROM test.view ORDER by key")
        expected = ""
        for i in range(num_rows):
            expected += str(i * 10) + "\t" + str(i * 100) + "\n"
        assert result == expected


def test_rabbitmq_flush_by_block_size(rabbitmq_cluster):
    instance.query(
        """
         DROP TABLE IF EXISTS test.view;
         DROP TABLE IF EXISTS test.consumer;

         CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
             ENGINE = RabbitMQ
             SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                      rabbitmq_exchange_name = 'flush_by_block',
                      rabbitmq_queue_base = 'flush_by_block',
                      rabbitmq_max_block_size = 100,
                      rabbitmq_flush_interval_ms = 640000, /* should not flush by time during test */
                      rabbitmq_format = 'JSONEachRow';

         CREATE TABLE test.view (key UInt64, value UInt64)
             ENGINE = MergeTree()
             ORDER BY key;

         CREATE MATERIALIZED VIEW test.consumer TO test.view AS
             SELECT * FROM test.rabbitmq;

        SYSTEM STOP MERGES;
     """
    )

    cancel = threading.Event()

    def produce():
        credentials = pika.PlainCredentials("root", "clickhouse")
        parameters = pika.ConnectionParameters(
            rabbitmq_cluster.rabbitmq_ip,
            rabbitmq_cluster.rabbitmq_port,
            "/",
            credentials,
        )
        connection = pika.BlockingConnection(parameters)

        while not cancel.is_set():
            try:
                channel = connection.channel()
                channel.basic_publish(
                    exchange="flush_by_block",
                    routing_key="",
                    body=json.dumps({"key": 0, "value": 0}),
                )
            except e:
                print(f"Got error: {str(e)}")

    produce_thread = threading.Thread(target=produce)
    produce_thread.start()

    while 0 == int(
        instance.query(
            "SELECT count() FROM system.parts WHERE database = 'test' AND table = 'view' AND name = 'all_1_1_0'"
        )
    ):
        time.sleep(0.5)

    cancel.set()
    produce_thread.join()

    # more flushes can happens during test, we need to check only result of first flush (part named all_1_1_0).
    result = instance.query("SELECT count() FROM test.view WHERE _part='all_1_1_0'")
    # logging.debug(result)

    instance.query(
        """
         DROP TABLE test.consumer;
         DROP TABLE test.view;
         DROP TABLE test.rabbitmq;
     """
    )

    # 100 = first poll should return 100 messages (and rows)
    # not waiting for stream_flush_interval_ms
    assert (
        int(result) == 100
    ), "Messages from rabbitmq should be flushed when block of size rabbitmq_max_block_size is formed!"


def test_rabbitmq_flush_by_time(rabbitmq_cluster):
    instance.query(
        """
        DROP TABLE IF EXISTS test.view;
        DROP TABLE IF EXISTS test.consumer;

        CREATE TABLE test.rabbitmq (key UInt64, value UInt64)
            ENGINE = RabbitMQ
            SETTINGS rabbitmq_host_port = 'rabbitmq1:5672',
                     rabbitmq_exchange_name = 'flush_by_time',
                     rabbitmq_queue_base = 'flush_by_time',
                     rabbitmq_max_block_size = 100,
                     rabbitmq_flush_interval_ms = 5000,
                     rabbitmq_format = 'JSONEachRow';

        CREATE TABLE test.view (key UInt64, value UInt64, ts DateTime64(3) MATERIALIZED now64(3))
            ENGINE = MergeTree()
            ORDER BY key;
    """
    )

    cancel = threading.Event()

    def produce():
        credentials = pika.PlainCredentials("root", "clickhouse")
        parameters = pika.ConnectionParameters(
            rabbitmq_cluster.rabbitmq_ip,
            rabbitmq_cluster.rabbitmq_port,
            "/",
            credentials,
        )
        connection = pika.BlockingConnection(parameters)

        while not cancel.is_set():
            try:
                channel = connection.channel()
                channel.basic_publish(
                    exchange="flush_by_time",
                    routing_key="",
                    body=json.dumps({"key": 0, "value": 0}),
                )
                print("Produced a message")
                time.sleep(0.8)
            except e:
                print(f"Got error: {str(e)}")

    produce_thread = threading.Thread(target=produce)
    produce_thread.start()

    instance.query(
        """
        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
            SELECT * FROM test.rabbitmq;
    """
    )

    while True:
        time.sleep(0.2)
        count = instance.query(
            "SELECT count() FROM system.parts WHERE database = 'test' AND table = 'view'"
        )
        print(f"kssenii total count: {count}")
        count = int(
            instance.query(
                "SELECT count() FROM system.parts WHERE database = 'test' AND table = 'view' AND name = 'all_1_1_0'"
            )
        )
        print(f"kssenii count: {count}")
        if count > 0:
            break

    time.sleep(12)
    result = instance.query("SELECT uniqExact(ts) FROM test.view")

    cancel.set()
    produce_thread.join()

    instance.query(
        """
        DROP TABLE test.consumer;
        DROP TABLE test.view;
        DROP TABLE test.rabbitmq;
    """
    )

    assert int(result) == 3