chore: import upstream snapshot with attribution
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@@ -0,0 +1,105 @@
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import multiprocessing
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import pytest
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from pymilvus import MilvusException, connections
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from base.collection_wrapper import ApiCollectionWrapper
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from customize.milvus_operator import MilvusOperator
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from common import common_func as cf
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from common.common_type import default_nb
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from common.common_type import CaseLabel
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from scale import scale_common as sc, constants
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from utils.util_log import test_log as log
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from utils.util_k8s import wait_pods_ready, read_pod_log
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from utils.util_pymilvus import get_latest_tag
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def e2e_milvus_parallel(process_num, host, c_name):
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""" e2e milvus """
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process_list = []
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for i in range(process_num):
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p = multiprocessing.Process(target=sc.e2e_milvus, args=(host, c_name))
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p.start()
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process_list.append(p)
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for p in process_list:
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p.join()
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class TestProxyScale:
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@pytest.mark.tags(CaseLabel.L3)
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def test_scale_proxy(self):
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"""
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target: test milvus operation after proxy expand
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method: 1.deploy 1 proxy replicas
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2.milvus e2e test in parallel
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3.expand proxy pod from 1 to 5
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4.milvus e2e test
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5.shrink proxy from 5 to 2
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expected: 1.verify data consistent and func work
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"""
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# deploy milvus cluster with one proxy
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fail_count = 0
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release_name = "scale-proxy"
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image_tag = get_latest_tag()
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image = f'{constants.IMAGE_REPOSITORY}:{image_tag}'
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data_config = {
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'metadata.namespace': constants.NAMESPACE,
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'metadata.name': release_name,
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'spec.mode': 'cluster',
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'spec.components.image': image,
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'spec.components.proxy.serviceType': 'LoadBalancer',
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'spec.components.proxy.replicas': 1,
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'spec.components.dataNode.replicas': 2,
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'spec.config.common.retentionDuration': 60
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}
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mic = MilvusOperator()
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mic.install(data_config)
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if mic.wait_for_healthy(release_name, constants.NAMESPACE, timeout=1800):
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host = mic.endpoint(release_name, constants.NAMESPACE).split(':')[0]
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else:
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raise MilvusException(message=f'Milvus healthy timeout 1800s')
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try:
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c_name = cf.gen_unique_str("proxy_scale")
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e2e_milvus_parallel(2, host, c_name)
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log.info('Milvus test before expand')
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# expand proxy replicas from 1 to 5
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mic.upgrade(release_name, {'spec.components.proxy.replicas': 5}, constants.NAMESPACE)
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mic.wait_for_healthy(release_name, constants.NAMESPACE)
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wait_pods_ready(constants.NAMESPACE, f"app.kubernetes.io/instance={release_name}")
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e2e_milvus_parallel(5, host, c_name)
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log.info('Milvus test after expand')
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# expand proxy replicas from 5 to 2
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mic.upgrade(release_name, {'spec.components.proxy.replicas': 2}, constants.NAMESPACE)
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mic.wait_for_healthy(release_name, constants.NAMESPACE)
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wait_pods_ready(constants.NAMESPACE, f"app.kubernetes.io/instance={release_name}")
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e2e_milvus_parallel(2, host, c_name)
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log.info('Milvus test after shrink')
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connections.connect('default', host=host, port=19530)
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collection_w = ApiCollectionWrapper()
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collection_w.init_collection(name=c_name)
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"""
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total start 2+5+2 process to run e2e, each time insert default_nb data, But one of the 2 processes started
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for the first time did not insert due to collection creation exception. So actually insert eight times
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"""
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assert collection_w.num_entities == 8 * default_nb
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except Exception as e:
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log.error(str(e))
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fail_count += 1
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# raise Exception(str(e))
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finally:
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log.info(f'Test finished with {fail_count} fail request')
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assert fail_count <= 1
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label = f"app.kubernetes.io/instance={release_name}"
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log.info('Start to export milvus pod logs')
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read_pod_log(namespace=constants.NAMESPACE, label_selector=label, release_name=release_name)
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mic.uninstall(release_name, namespace=constants.NAMESPACE)
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