[skip ci] Update scale data node test (#12879)

Signed-off-by: NThreadDao <yufen.zong@zilliz.com>

tests/python_client/scale/constants.py

 # scale object
-IMAGE_REPOSITORY = "milvusdb/milvus-dev"  # repository of milvus image
-IMAGE_TAG = "master-latest"  # tag of milvus image
+IMAGE_REPOSITORY = "harbor.zilliz.cc/milvus/milvus"  # repository of milvus image
+IMAGE_TAG = "master-20211207-4cd314d"  # tag of milvus image
 NAMESPACE = "chaos-testing"  # namespace
 IF_NOT_PRESENT = "IfNotPresent"  # image pullPolicy IfNotPresent
 ALWAYS = "Always"  # image pullPolicy Always

tests/python_client/scale/test_data_node_scale.py

+import threading
+import time
+
 import pytest
 
 from base.collection_wrapper import ApiCollectionWrapper
 from common.common_type import CaseLabel
 from common import common_func as cf
-from common import common_type as ct
-from scale import constants, scale_common
-from scale.helm_env import HelmEnv
-from pymilvus import connections, utility
+from customize.milvus_operator import MilvusOperator
+from scale import constants
+from pymilvus import connections
+from utils.util_log import test_log as log
+from utils.util_k8s import wait_pods_ready
 
 prefix = "data_scale"
 default_schema = cf.gen_default_collection_schema()
@@ -17,89 +21,76 @@ default_index_params = {"index_type": "IVF_SQ8", "metric_type": "L2", "params":
 class TestDataNodeScale:
 
     @pytest.mark.tags(CaseLabel.L3)
-    def test_expand_data_node(self):
+    def test_scale_data_node(self):
         """
-        target: test create and insert api after expand dataNode pod
-        method: 1.create collection a and insert df
-                2.expand dataNode pod from 1 to 2
-                3.verify collection a property and verify create and insert of new collection
-        expected: two collection create and insert op are both correctly
+        target:
+        method:
+        expected:
         """
         release_name = "scale-data"
-        milvusOp, host, port = scale_common.deploy_default_milvus(release_name)
-
+        image = f'{constants.IMAGE_REPOSITORY}:{constants.IMAGE_TAG}'
+        data_config = {
+            'metadata.namespace': constants.NAMESPACE,
+            'metadata.name': release_name,
+            'spec.components.image': image,
+            'spec.components.proxy.serviceType': 'LoadBalancer',
+            'spec.components.dataNode.replicas': 2,
+            'spec.config.dataCoord.enableCompaction': True,
+            'spec.config.dataCoord.enableGarbageCollection': True
+        }
+        mic = MilvusOperator()
+        mic.install(data_config)
+        healthy = mic.wait_for_healthy(release_name, constants.NAMESPACE, timeout=1200)
+        log.info(f"milvus healthy: {healthy}")
+        host = mic.endpoint(release_name, constants.NAMESPACE).split(':')[0]
+        # host = '10.98.0.4'
 
         # connect
-        connections.add_connection(default={"host": host, "port": port})
+        connections.add_connection(default={"host": host, "port": 19530})
         connections.connect(alias='default')
+
         # create
-        c_name = cf.gen_unique_str(prefix)
+        c_name = cf.gen_unique_str("scale_query")
+        # c_name = 'scale_query_DymS7kI4'
         collection_w = ApiCollectionWrapper()
-        collection_w.init_collection(name=c_name, schema=cf.gen_default_collection_schema())
-        # # insert
-        data = cf.gen_default_list_data()
-        mutation_res, _ = collection_w.insert(data)
-        assert mutation_res.insert_count == ct.default_nb
-        # scale dataNode to 2 pods
-        milvusOp.upgrade(release_name, {'spec.components.dataNode.replicas': 2}, constants.NAMESPACE)
-        milvusOp.wait_for_healthy(release_name, constants.NAMESPACE)
-
-        # after scale, assert data consistent
-        assert utility.has_collection(c_name)
-        assert collection_w.num_entities == ct.default_nb
-        # assert new operations
-        new_cname = cf.gen_unique_str(prefix)
-        new_collection_w = ApiCollectionWrapper()
-        new_collection_w.init_collection(name=new_cname, schema=cf.gen_default_collection_schema())
-        new_mutation_res, _ = new_collection_w.insert(data)
-        assert new_mutation_res.insert_count == ct.default_nb
-        assert new_collection_w.num_entities == ct.default_nb
-        # assert old collection ddl
-        mutation_res_2, _ = collection_w.insert(data)
-        assert mutation_res.insert_count == ct.default_nb
-        assert collection_w.num_entities == ct.default_nb*2
-
-        collection_w.drop()
-        new_collection_w.drop()
-
-        # milvusOp.uninstall(release_name, namespace=constants.NAMESPACE)
+        collection_w.init_collection(name=c_name, schema=cf.gen_default_collection_schema(), shards_num=5)
 
-    @pytest.mark.tags(CaseLabel.L3)
-    def test_shrink_data_node(self):
-        """
-        target: test shrink dataNode from 2 to 1
-        method: 1.create collection and insert df 2. shrink dataNode 3.insert df
-        expected: verify the property of collection which channel on shrink pod
-        """
-        release_name = "scale-data"
-        env = HelmEnv(release_name=release_name, dataNode=2)
-        host = env.helm_install_cluster_milvus(image_pull_policy=constants.IF_NOT_PRESENT)
+        tmp_nb = 10000
 
-        # connect
-        connections.add_connection(default={"host": host, "port": 19530})
-        connections.connect(alias='default')
+        def do_insert():
+            while True:
+                tmp_df = cf.gen_default_dataframe_data(tmp_nb)
+                collection_w.insert(tmp_df)
+                log.debug(collection_w.num_entities)
 
-        c_name = "data_scale_one"
-        data = cf.gen_default_list_data(ct.default_nb)
-        collection_w = ApiCollectionWrapper()
-        collection_w.init_collection(name=c_name, schema=cf.gen_default_collection_schema())
-        mutation_res, _ = collection_w.insert(data)
-        assert mutation_res.insert_count == ct.default_nb
-        assert collection_w.num_entities == ct.default_nb
-
-        c_name_2 = "data_scale_two"
-        collection_w2 = ApiCollectionWrapper()
-        collection_w2.init_collection(name=c_name_2, schema=cf.gen_default_collection_schema())
-        mutation_res2, _ = collection_w2.insert(data)
-        assert mutation_res2.insert_count == ct.default_nb
-        assert collection_w2.num_entities == ct.default_nb
-
-        env.helm_upgrade_cluster_milvus(dataNode=1)
-
-        assert collection_w.num_entities == ct.default_nb
-        mutation_res2, _ = collection_w2.insert(data)
-        assert collection_w2.num_entities == ct.default_nb*2
-        collection_w.drop()
-        collection_w2.drop()
-
-        # env.helm_uninstall_cluster_milvus()
+        t_insert = threading.Thread(target=do_insert, args=(), daemon=True)
+        t_insert.start()
+
+        # scale dataNode to 5
+        mic.upgrade(release_name, {'spec.components.dataNode.replicas': 5}, constants.NAMESPACE)
+        time.sleep(300)
+        log.debug("Expand dataNode test finished")
+
+        # create new collection and insert
+        new_c_name = cf.gen_unique_str("scale_query")
+        collection_w_new = ApiCollectionWrapper()
+        collection_w_new.init_collection(name=new_c_name, schema=cf.gen_default_collection_schema(), shards_num=2)
+
+        def do_new_insert():
+            while True:
+                tmp_df = cf.gen_default_dataframe_data(tmp_nb)
+                collection_w_new.insert(tmp_df)
+                log.debug(collection_w_new.num_entities)
+
+        t_insert_new = threading.Thread(target=do_new_insert, args=(), daemon=True)
+        t_insert_new.start()
+
+        # scale dataNode to 3
+        mic.upgrade(release_name, {'spec.components.dataNode.replicas': 3}, constants.NAMESPACE)
+        wait_pods_ready(constants.NAMESPACE, f"app.kubernetes.io/instance={release_name}")
+
+        log.debug(collection_w.num_entities)
+        time.sleep(300)
+        log.debug("Shrink dataNode test finished")
+
+        # mic.uninstall(release_name, namespace=constants.NAMESPACE)