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Merge pull request #16762 from filimonov/kafka-protobuf-issue12615
Test for the issue #12615
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commit
712a35bb7b
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syntax = "proto3";
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message User {
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string username = 1;
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int32 timestamp = 2;
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}
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75
tests/integration/test_storage_kafka/social_pb2.py
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75
tests/integration/test_storage_kafka/social_pb2.py
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# -*- coding: utf-8 -*-
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# Generated by the protocol buffer compiler. DO NOT EDIT!
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# source: social.proto
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from google.protobuf import descriptor as _descriptor
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from google.protobuf import message as _message
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from google.protobuf import reflection as _reflection
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from google.protobuf import symbol_database as _symbol_database
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# @@protoc_insertion_point(imports)
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_sym_db = _symbol_database.Default()
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DESCRIPTOR = _descriptor.FileDescriptor(
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name='social.proto',
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package='',
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syntax='proto3',
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serialized_options=None,
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serialized_pb=b'\n\x0csocial.proto\"+\n\x04User\x12\x10\n\x08username\x18\x01 \x01(\t\x12\x11\n\ttimestamp\x18\x02 \x01(\x05\x62\x06proto3'
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)
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_USER = _descriptor.Descriptor(
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name='User',
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full_name='User',
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filename=None,
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file=DESCRIPTOR,
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containing_type=None,
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fields=[
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_descriptor.FieldDescriptor(
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name='username', full_name='User.username', index=0,
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number=1, type=9, cpp_type=9, label=1,
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has_default_value=False, default_value=b"".decode('utf-8'),
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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serialized_options=None, file=DESCRIPTOR),
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_descriptor.FieldDescriptor(
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name='timestamp', full_name='User.timestamp', index=1,
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number=2, type=5, cpp_type=1, label=1,
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has_default_value=False, default_value=0,
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message_type=None, enum_type=None, containing_type=None,
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is_extension=False, extension_scope=None,
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serialized_options=None, file=DESCRIPTOR),
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],
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extensions=[
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],
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nested_types=[],
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enum_types=[
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],
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serialized_options=None,
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is_extendable=False,
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syntax='proto3',
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extension_ranges=[],
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oneofs=[
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],
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serialized_start=16,
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serialized_end=59,
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)
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DESCRIPTOR.message_types_by_name['User'] = _USER
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_sym_db.RegisterFileDescriptor(DESCRIPTOR)
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User = _reflection.GeneratedProtocolMessageType('User', (_message.Message,), {
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'DESCRIPTOR' : _USER,
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'__module__' : 'social_pb2'
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# @@protoc_insertion_point(class_scope:User)
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})
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_sym_db.RegisterMessage(User)
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# @@protoc_insertion_point(module_scope)
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@ -30,6 +30,8 @@ libprotoc 3.0.0
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protoc --python_out=. kafka.proto
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"""
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from . import kafka_pb2
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from . import social_pb2
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# TODO: add test for run-time offset update in CH, if we manually update it on Kafka side.
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# TODO: add test for SELECT LIMIT is working.
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@ -115,6 +117,20 @@ def kafka_produce_protobuf_messages_no_delimeters(topic, start_index, num_messag
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producer.flush()
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print("Produced {} messages for topic {}".format(num_messages, topic))
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def kafka_produce_protobuf_social(topic, start_index, num_messages):
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data = b''
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for i in range(start_index, start_index + num_messages):
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msg = social_pb2.User()
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msg.username='John Doe {}'.format(i)
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msg.timestamp=1000000+i
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serialized_msg = msg.SerializeToString()
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data = data + _VarintBytes(len(serialized_msg)) + serialized_msg
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producer = KafkaProducer(bootstrap_servers="localhost:9092", value_serializer=producer_serializer)
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producer.send(topic=topic, value=data)
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producer.flush()
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print(("Produced {} messages for topic {}".format(num_messages, topic)))
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def avro_confluent_message(schema_registry_client, value):
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# type: (CachedSchemaRegistryClient, dict) -> str
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@ -982,6 +998,84 @@ def test_kafka_protobuf(kafka_cluster):
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kafka_check_result(result, True)
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@pytest.mark.timeout(180)
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def test_kafka_string_field_on_first_position_in_protobuf(kafka_cluster):
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# https://github.com/ClickHouse/ClickHouse/issues/12615
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instance.query('''
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CREATE TABLE test.kafka (
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username String,
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timestamp Int32
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) ENGINE = Kafka()
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SETTINGS
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kafka_broker_list = 'kafka1:19092',
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kafka_topic_list = 'string_field_on_first_position_in_protobuf',
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kafka_group_name = 'string_field_on_first_position_in_protobuf',
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kafka_format = 'Protobuf',
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kafka_schema = 'social:User';
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SELECT * FROM test.kafka;
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''')
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kafka_produce_protobuf_social('string_field_on_first_position_in_protobuf', 0, 20)
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kafka_produce_protobuf_social('string_field_on_first_position_in_protobuf', 20, 1)
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kafka_produce_protobuf_social('string_field_on_first_position_in_protobuf', 21, 29)
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result = instance.query('SELECT * FROM test.kafka', ignore_error=True)
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expected = '''\
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John Doe 0 1000000
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John Doe 1 1000001
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John Doe 2 1000002
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John Doe 3 1000003
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John Doe 4 1000004
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John Doe 5 1000005
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John Doe 6 1000006
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John Doe 7 1000007
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John Doe 8 1000008
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John Doe 9 1000009
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John Doe 10 1000010
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John Doe 11 1000011
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John Doe 12 1000012
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John Doe 13 1000013
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John Doe 14 1000014
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John Doe 15 1000015
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John Doe 16 1000016
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John Doe 17 1000017
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John Doe 18 1000018
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John Doe 19 1000019
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John Doe 20 1000020
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John Doe 21 1000021
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John Doe 22 1000022
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John Doe 23 1000023
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John Doe 24 1000024
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John Doe 25 1000025
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John Doe 26 1000026
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John Doe 27 1000027
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John Doe 28 1000028
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John Doe 29 1000029
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John Doe 30 1000030
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John Doe 31 1000031
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John Doe 32 1000032
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John Doe 33 1000033
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John Doe 34 1000034
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John Doe 35 1000035
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John Doe 36 1000036
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John Doe 37 1000037
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John Doe 38 1000038
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John Doe 39 1000039
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John Doe 40 1000040
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John Doe 41 1000041
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John Doe 42 1000042
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John Doe 43 1000043
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John Doe 44 1000044
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John Doe 45 1000045
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John Doe 46 1000046
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John Doe 47 1000047
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John Doe 48 1000048
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John Doe 49 1000049
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'''
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assert TSV(result) == TSV(expected)
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@pytest.mark.timeout(30)
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def test_kafka_protobuf_no_delimiter(kafka_cluster):
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instance.query('''
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