mirror of https://github.com/milvus-io/milvus.git
Add test cases of AutoIndex master (#24563)
Signed-off-by: nico <cheng.yuan@zilliz.com>pull/24684/head
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8156317c9c
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330ab936c9
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@ -241,7 +241,7 @@ class ApiCollectionWrapper:
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return res, check_result
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@trace()
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def create_index(self, field_name, index_params, index_name=None, check_task=None, check_items=None, **kwargs):
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def create_index(self, field_name, index_params=None, index_name=None, check_task=None, check_items=None, **kwargs):
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disktimeout = 600
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timeout = kwargs.get("timeout", disktimeout * 2)
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index_name = INDEX_NAME if index_name is None else index_name
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@ -550,6 +550,23 @@ def gen_simple_index():
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return index_params
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def gen_autoindex_params():
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index_params = [
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{},
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{"metric_type": "IP"},
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{"metric_type": "L2"},
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{"metric_type": "COSINE"},
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{"index_type": "AUTOINDEX"},
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{"index_type": "AUTOINDEX", "metric_type": "L2"},
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{"index_type": "AUTOINDEX", "metric_type": "COSINE"},
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{"index_type": "IVF_FLAT", "metric_type": "L2", "nlist": "1024", "m": "100"},
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{"index_type": "DISKANN", "metric_type": "L2"},
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{"index_type": "IVF_PQ", "nlist": "128", "m": "16", "nbits": "8", "metric_type": "IP"},
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{"index_type": "IVF_SQ8", "nlist": "128", "metric_type": "COSINE"}
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]
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return index_params
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def gen_invalid_field_types():
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field_types = [
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6,
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@ -627,6 +644,17 @@ def gen_search_param(index_type, metric_type="L2"):
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return search_params
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def gen_autoindex_search_params():
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search_params = [
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{},
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{"metric_type": "IP"},
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{"nlist": "1024"},
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{"efSearch": "100"},
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{"search_k": "1000"}
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]
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return search_params
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def gen_invalid_search_param(index_type, metric_type="L2"):
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search_params = []
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if index_type in ["FLAT", "IVF_FLAT", "IVF_SQ8", "IVF_PQ"] \
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@ -1,5 +1,6 @@
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from time import sleep
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import pytest
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import copy
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from base.client_base import TestcaseBase
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from base.index_wrapper import ApiIndexWrapper
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@ -18,6 +19,7 @@ prefix = "index"
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default_schema = cf.gen_default_collection_schema()
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default_field_name = ct.default_float_vec_field_name
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default_index_params = {"index_type": "IVF_SQ8", "metric_type": "L2", "params": {"nlist": 64}}
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default_autoindex_params = {"index_type": "AUTOINDEX", "metric_type": "IP"}
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# copied from pymilvus
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uid = "test_index"
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@ -1287,6 +1289,20 @@ class TestIndexInvalid(TestcaseBase):
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check_items={"err_code": 1,
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"err_msg": "invalid index params"})
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@pytest.mark.tags(CaseLabel.L1)
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def test_create_index_json(self):
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"""
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target: test create index on json fields
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method: 1.create collection, and create index
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expected: create index raise an error
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"""
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collection_w, _, _, insert_ids = self.init_collection_general(prefix, True,
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dim=ct.default_dim, is_index=False)[0:4]
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collection_w.create_index(ct.default_json_field_name, index_params=ct.default_flat_index,
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check_task=CheckTasks.err_res,
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check_items={ct.err_code: 1,
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ct.err_msg: "create index on json field is not supported"})
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@pytest.mark.tags(CaseLabel.GPU)
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class TestNewIndexAsync(TestcaseBase):
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@ -1862,16 +1878,67 @@ class TestIndexDiskann(TestcaseBase):
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check_items={ct.err_code: 1,
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ct.err_msg: "invalid index params"})
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@pytest.mark.tags(CaseLabel.GPU)
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class TestAutoIndex(TestcaseBase):
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""" Test case of Auto index """
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@pytest.mark.tags(CaseLabel.L0)
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def test_create_autoindex_with_no_params(self):
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"""
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target: test create auto index with no params
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method: create index with only one field name
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expected: create successfully
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"""
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collection_w = self.init_collection_general(prefix, is_index=False)[0]
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collection_w.create_index(field_name)
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actual_index_params = collection_w.index()[0].params
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assert default_autoindex_params == actual_index_params
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@pytest.mark.tags(CaseLabel.L1)
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def test_create_index_json(self):
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@pytest.mark.parametrize("index_params", cf.gen_autoindex_params())
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def test_create_autoindex_with_params(self, index_params):
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"""
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target: test create index on json fields
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method: 1.create collection, and create index
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expected: create index raise an error
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target: test create auto index with params
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method: create index with different params
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expected: create successfully
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"""
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collection_w, _, _, insert_ids = self.init_collection_general(prefix, True,
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dim=ct.default_dim, is_index=False)[0:4]
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collection_w.create_index(ct.default_json_field_name, index_params=ct.default_flat_index,
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collection_w = self.init_collection_general(prefix, is_index=False)[0]
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collection_w.create_index(field_name, index_params)
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actual_index_params = collection_w.index()[0].params
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log.info(collection_w.index()[0].params)
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expect_autoindex_params = copy.copy(default_autoindex_params)
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if index_params.get("index_type"):
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if index_params["index_type"] != 'AUTOINDEX':
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expect_autoindex_params = index_params
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if index_params.get("metric_type"):
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expect_autoindex_params["metric_type"] = index_params["metric_type"]
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assert actual_index_params == expect_autoindex_params
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@pytest.mark.tags(CaseLabel.L2)
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def test_create_autoindex_with_invalid_params(self):
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"""
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target: test create auto index with invalid params
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method: create index with invalid params
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expected: raise exception
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"""
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collection_w = self.init_collection_general(prefix, is_index=False)[0]
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index_params = {"metric_type": "L2", "nlist": "1024", "M": "100"}
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collection_w.create_index(field_name, index_params,
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check_task=CheckTasks.err_res,
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check_items={ct.err_code: 1,
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ct.err_msg: "create index on json field is not supported"})
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check_items={"err_code": 1,
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"err_msg": "only metric type can be "
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"passed when use AutoIndex"})
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@pytest.mark.tags(CaseLabel.L2)
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def test_create_autoindex_on_binary_vectors(self):
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"""
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target: test create auto index on binary vectors
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method: create index on binary vectors
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expected: raise exception
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"""
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collection_w = self.init_collection_general(prefix, is_binary=True, is_index=False)[0]
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collection_w.create_index(binary_field_name, {},
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check_task=CheckTasks.err_res,
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check_items={"err_code": 1,
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"err_msg": "float vector is only supported"})
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@ -2030,6 +2030,30 @@ class TestCollectionSearch(TestcaseBase):
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"ids": insert_ids,
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"limit": default_limit,
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"_async": _async})
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.parametrize("search_params", cf.gen_autoindex_search_params())
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@pytest.mark.skip("issue #24533 #24555")
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def test_search_default_search_params_fit_for_autoindex(self, search_params, auto_id, _async):
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"""
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target: test search using autoindex
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method: test search using autoindex and its corresponding search params
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expected: search successfully
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"""
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# 1. initialize with data
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collection_w = self.init_collection_general(prefix, True, auto_id=auto_id, is_index=False)[0]
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# 2. create index and load
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collection_w.create_index("float_vector", {})
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collection_w.load()
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# 3. search
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log.info("Searching with search params: {}".format(search_params))
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collection_w.search(vectors[:default_nq], default_search_field,
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search_params, default_limit,
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default_search_exp, _async=_async,
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check_task=CheckTasks.check_search_results,
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check_items={"nq": default_nq,
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"limit": default_limit,
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"_async": _async})
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@pytest.mark.tags(CaseLabel.L2)
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@pytest.mark.tags(CaseLabel.GPU)
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