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80 lines
2.2 KiB
Python
80 lines
2.2 KiB
Python
import io
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import logging
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import avro.schema
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import pytest
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from confluent_kafka.avro.serializer.message_serializer import MessageSerializer
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from helpers.cluster import ClickHouseCluster, ClickHouseInstance
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logging.getLogger().setLevel(logging.INFO)
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logging.getLogger().addHandler(logging.StreamHandler())
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@pytest.fixture(scope="module")
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def cluster():
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try:
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cluster = ClickHouseCluster(__file__)
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cluster.add_instance("dummy", with_kafka=True)
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logging.info("Starting cluster...")
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cluster.start()
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logging.info("Cluster started")
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yield cluster
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finally:
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cluster.shutdown()
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def run_query(instance, query, data=None, settings=None):
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# type: (ClickHouseInstance, str, object, dict) -> str
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logging.info("Running query '{}'...".format(query))
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# use http to force parsing on server
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if not data:
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data = " " # make POST request
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result = instance.http_query(query, data=data, params=settings)
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logging.info("Query finished")
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return result
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def test_select(cluster):
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# type: (ClickHouseCluster) -> None
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schema_registry_client = cluster.schema_registry_client
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serializer = MessageSerializer(schema_registry_client)
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schema = avro.schema.make_avsc_object({
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'name': 'test_record',
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'type': 'record',
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'fields': [
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{
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'name': 'value',
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'type': 'long'
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}
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]
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})
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buf = io.BytesIO()
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for x in range(0, 3):
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message = serializer.encode_record_with_schema(
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'test_subject', schema, {'value': x}
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)
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buf.write(message)
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data = buf.getvalue()
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instance = cluster.instances["dummy"] # type: ClickHouseInstance
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schema_registry_url = "http://{}:{}".format(
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cluster.schema_registry_host,
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8081
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)
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run_query(instance, "create table avro_data(value Int64) engine = Memory()")
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settings = {'format_avro_schema_registry_url': schema_registry_url}
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run_query(instance, "insert into avro_data format AvroConfluent", data, settings)
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stdout = run_query(instance, "select * from avro_data")
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assert list(map(str.split, stdout.splitlines())) == [
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["0"],
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["1"],
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["2"],
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]
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