milvus/tests/python_client/chaos/test_chaos_memory_stress.py

import random
import threading
import time
from time import sleep

import pytest
import datetime

from pymilvus import connections
from base.collection_wrapper import ApiCollectionWrapper
from chaos.checker import Op, CreateChecker, InsertFlushChecker, IndexChecker, SearchChecker, QueryChecker
from common.cus_resource_opts import CustomResourceOperations as CusResource
from common import common_func as cf
from common import common_type as ct
from chaos import chaos_commons as cc
from chaos.chaos_commons import gen_experiment_config, get_chaos_yamls, start_monitor_threads
from common.common_type import CaseLabel
from chaos import constants
from utils.util_log import test_log as log


def apply_memory_stress(chaos_yaml):
    chaos_config = gen_experiment_config(chaos_yaml)
    log.debug(chaos_config)
    chaos_res = CusResource(kind=chaos_config['kind'],
                            group=constants.CHAOS_GROUP,
                            version=constants.CHAOS_VERSION,
                            namespace=constants.CHAOS_NAMESPACE)
    chaos_res.create(chaos_config)
    log.debug("chaos injected")


class TestChaosData:

    @pytest.fixture(scope="function", autouse=True)
    def connection(self, host, port):
        connections.add_connection(default={"host": host, "port": port})
        conn = connections.connect(alias='default')
        if conn is None:
            raise Exception("no connections")
        return conn

    @pytest.mark.tags(CaseLabel.L3)
    @pytest.mark.parametrize('chaos_yaml', get_chaos_yamls())
    def test_chaos_memory_stress_querynode(self, connection, chaos_yaml):
        """
        target: explore query node behavior after memory stress chaos injected and recovered
        method: 1. Create a collection, insert some data
                2. Inject memory stress chaos
                3. Start a threas to load, search and query
                4. After chaos duration, check query search success rate
                5. Delete chaos or chaos finished finally
        expected: 1.If memory is insufficient, querynode is OOMKilled and available after restart
                  2.If memory is sufficient, succ rate of query and search both are 1.0
        """
        c_name = 'chaos_memory_nx6DNW4q'
        collection_w = ApiCollectionWrapper()
        collection_w.init_collection(c_name)
        log.debug(collection_w.schema)
        log.debug(collection_w._shards_num)

        # apply memory stress chaos
        chaos_config = gen_experiment_config(chaos_yaml)
        log.debug(chaos_config)
        chaos_res = CusResource(kind=chaos_config['kind'],
                                group=constants.CHAOS_GROUP,
                                version=constants.CHAOS_VERSION,
                                namespace=constants.CHAOS_NAMESPACE)
        chaos_res.create(chaos_config)
        log.debug("chaos injected")
        duration = chaos_config.get('spec').get('duration')
        duration = duration.replace('h', '*3600+').replace('m', '*60+').replace('s', '*1+') + '+0'
        meta_name = chaos_config.get('metadata').get('name')
        # wait memory stress
        sleep(constants.WAIT_PER_OP * 2)

        # try to do release, load, query and serach in a duration time loop
        try:
            start = time.time()
            while time.time() - start < eval(duration):
                collection_w.release()
                collection_w.load()

                term_expr = f'{ct.default_int64_field_name} in {[random.randint(0, 100)]}'
                query_res, _ = collection_w.query(term_expr)
                assert len(query_res) == 1

                search_res, _ = collection_w.search(cf.gen_vectors(1, ct.default_dim),
                                                    ct.default_float_vec_field_name,
                                                    ct.default_search_params, ct.default_limit)
                log.debug(search_res[0].ids)
                assert len(search_res[0].ids) == ct.default_limit

        except Exception as e:
            raise Exception(str(e))

        finally:
            chaos_res.delete(meta_name)

    @pytest.mark.tags(CaseLabel.L3)
    @pytest.mark.parametrize('chaos_yaml', get_chaos_yamls())
    def test_chaos_memory_stress_datanode(self, chaos_yaml):
        """
        target: test inject memory stress into dataNode
        method: 1.Deploy milvus and limit datanode memory resource
                2.Create collection and insert some data
                3.Inject memory stress chaos
                4.Continue to insert data
        expected:
        """
        # init collection and insert 250 nb
        nb = 25000
        dim = 512
        c_name = cf.gen_unique_str('chaos_memory')
        collection_w = ApiCollectionWrapper()
        collection_w.init_collection(name=c_name,
                                     schema=cf.gen_default_collection_schema(dim=dim))
        for i in range(10):
            t0 = datetime.datetime.now()
            df = cf.gen_default_dataframe_data(nb=nb, dim=dim)
            res = collection_w.insert(df)[0]
            assert res.insert_count == nb
            log.info(f'After {i + 1} insert, num_entities: {collection_w.num_entities}')
            tt = datetime.datetime.now() - t0
            log.info(f"{i} insert and flush data cost: {tt}")

        # inject memory stress
        chaos_config = gen_experiment_config(chaos_yaml)
        log.debug(chaos_config)
        chaos_res = CusResource(kind=chaos_config['kind'],
                                group=constants.CHAOS_GROUP,
                                version=constants.CHAOS_VERSION,
                                namespace=constants.CHAOS_NAMESPACE)
        chaos_res.create(chaos_config)
        log.debug("chaos injected")

        # Continue to insert data
        collection_w.insert(df)
        log.info(f'Total num entities: {collection_w.num_entities}')

        # delete chaos
        meta_name = chaos_config.get('metadata', None).get('name', None)
        chaos_res.delete(metadata_name=meta_name)

    @pytest.mark.tags(CaseLabel.L3)
    @pytest.mark.parametrize('chaos_yaml', get_chaos_yamls())
    def test_chaos_memory_stress_indexnode(self, connection, chaos_yaml):
        """
        target: test inject memory stress into indexnode
        method: 1.Deploy milvus and limit indexnode memory resource 1Gi
                2.Create collection and insert some data
                3.Create index
                4.Inject memory stress chaos 512Mi
        expected:
        """
        # init collection and insert 250 nb
        # nb = 50000  # vector size: 512*4*nb about 100Mi and create index need 600Mi memory
        nb = 256000
        dim = 512
        # c_name = cf.gen_unique_str('chaos_memory')
        c_name = 'chaos_memory_gKs8aSUu'
        index_params = {"index_type": "IVF_SQ8", "metric_type": "L2", "params": {"nlist": 128}}

        collection_w = ApiCollectionWrapper()
        collection_w.init_collection(name=c_name,
                                     schema=cf.gen_default_collection_schema(dim=dim), shards_num=1)

        # insert 256000 512 dim entities, size 512Mi
        for i in range(2):
            t0_insert = datetime.datetime.now()
            df = cf.gen_default_dataframe_data(nb=nb // 2, dim=dim)
            res = collection_w.insert(df)[0]
            assert res.insert_count == nb // 2
            # log.info(f'After {i + 1} insert, num_entities: {collection_w.num_entities}')
            tt_insert = datetime.datetime.now() - t0_insert
            log.info(f"{i} insert data cost: {tt_insert}")

        # flush
        t0_flush = datetime.datetime.now()
        assert collection_w.num_entities == nb
        tt_flush = datetime.datetime.now() - t0_flush
        log.info(f'flush {nb * 10} entities cost: {tt_flush}')

        # create index
        t0_index = datetime.datetime.now()
        index, _ = collection_w.create_index(field_name=ct.default_float_vec_field_name,
                                             index_params=index_params)
        tt_index = datetime.datetime.now() - t0_index

        log.info(f"create index cost: {tt_index}")
        log.info(collection_w.indexes)

        # indexNode start build index, inject chaos memory stress
        chaos_config = gen_experiment_config(chaos_yaml)
        log.debug(chaos_config)
        chaos_res = CusResource(kind=chaos_config['kind'],
                                group=constants.CHAOS_GROUP,
                                version=constants.CHAOS_VERSION,
                                namespace=constants.CHAOS_NAMESPACE)
        chaos_res.create(chaos_config)
        log.debug("inject chaos")

    @pytest.mark.tags(CaseLabel.L3)
    @pytest.mark.parametrize('chaos_yaml', cc.get_chaos_yamls())
    def test_chaos_memory_stress_etcd(self, chaos_yaml):
        """
        target: test inject memory stress into all etcd pods
        method: 1.Deploy milvus and limit etcd memory resource 1Gi witl all mode
                2.Continuously and concurrently do milvus operations
                3.Inject memory stress chaos 51024Mi
                4.After duration, delete chaos stress
        expected: Verify milvus operation succ rate
        """
        mic_checkers = {
            Op.create: CreateChecker(),
            Op.insert: InsertFlushChecker(),
            Op.flush: InsertFlushChecker(flush=True),
            Op.index: IndexChecker(),
            Op.search: SearchChecker(),
            Op.query: QueryChecker()
        }
        # start thread keep running milvus op
        start_monitor_threads(mic_checkers)

        # parse chaos object
        chaos_config = cc.gen_experiment_config(chaos_yaml)
        # duration = chaos_config["spec"]["duration"]
        meta_name = chaos_config.get('metadata').get('name')
        duration = chaos_config.get('spec').get('duration')

        # apply chaos object
        chaos_res = CusResource(kind=chaos_config['kind'],
                                group=constants.CHAOS_GROUP,
                                version=constants.CHAOS_VERSION,
                                namespace=constants.CHAOS_NAMESPACE)
        chaos_res.create(chaos_config)
        log.info("Chaos injected")

        # convert string duration time to a int number in seconds
        if isinstance(duration, str):
            duration = duration.replace('h', '*3600+').replace('m', '*60+').replace('s', '*1+')+'+0'
        else:
            log.error("Duration must be string type")

        # Delete experiment after it's over
        timer = threading.Timer(interval=eval(duration), function=chaos_res.delete, args=(meta_name, False))
        timer.start()
        timer.join()

        # output milvus op succ rate
        for k, ch in mic_checkers.items():
            log.debug(f'Succ rate of {k.value}: {ch.succ_rate()}')
            assert ch.succ_rate() == 1.0