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1
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import time |
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2
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import random |
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3
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import pdb |
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4
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import threading |
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5
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import logging |
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6
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from multiprocessing import Pool, Process |
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7
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import pytest |
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8
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from milvus import IndexType, MetricType |
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9
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from utils import * |
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10
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11
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12
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dim = 128 |
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13
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index_file_size = 10 |
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14
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collection_id = "mysql_failure" |
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15
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nprobe = 1 |
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16
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tag = "1970-01-01" |
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17
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18
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19
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class TestMysql: |
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20
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21
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""" |
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22
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****************************************************************** |
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23
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The following cases are used to test mysql failure |
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24
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****************************************************************** |
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25
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""" |
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26
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@pytest.fixture(scope="function", autouse=True) |
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27
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def skip_check(self, connect, args): |
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28
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if args["service_name"].find("shards") != -1: |
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29
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reason = "Skip restart cases in shards mode" |
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30
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logging.getLogger().info(reason) |
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31
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pytest.skip(reason) |
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32
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33
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def _test_kill_mysql_during_index(self, connect, collection, args): |
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34
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big_nb = 20000 |
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35
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index_param = {"nlist": 1024, "m": 16} |
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36
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index_type = IndexType.IVF_PQ |
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37
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vectors = gen_vectors(big_nb, dim) |
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38
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status, ids = connect.insert(collection, vectors, ids=[i for i in range(big_nb)]) |
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39
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status = connect.flush([collection]) |
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40
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assert status.OK() |
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41
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status, res_count = connect.count_entities(collection) |
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42
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logging.getLogger().info(res_count) |
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43
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assert status.OK() |
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44
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assert res_count == big_nb |
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45
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logging.getLogger().info("Start create index async") |
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46
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status = connect.create_index(collection, index_type, index_param, _async=True) |
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47
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time.sleep(2) |
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48
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logging.getLogger().info("Start play mysql failure") |
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49
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# pass |
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50
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new_connect = get_milvus(args["ip"], args["port"], handler=args["handler"]) |
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51
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status, res_count = new_connect.count_entities(collection) |
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52
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assert status.OK() |
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53
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assert res_count == big_nb |
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54
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milvus-io /
milvus
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