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Add test cases of json_contains_all and json_contains_any (#26375)

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Signed-off-by: nico <cheng.yuan@zilliz.com>
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nico 2023-08-23 18:28:24 +08:00 committed by GitHub
parent 32307db557
commit 2b95d4c62d
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2 changed files with 466 additions and 157 deletions
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405
tests/python_client/testcases/test_query.py
View File

@ -32,7 +32,8 @@ binary_index_params = {"index_type": "BIN_IVF_FLAT", "metric_type": "JACCARD", "
default_entities = ut.gen_entities(ut.default_nb, is_normal=True)
default_pos = 5
default_int_field_name = "int64"
json_field = ct.default_json_field_name
default_int_field_name = ct.default_int64_field_name
default_float_field_name = "float"
default_string_field_name = "varchar"
@ -562,7 +563,8 @@ class TestQueryParams(TestcaseBase):
collection_w.query(term_expr, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L1)
def test_query_expr_json_contains(self, enable_dynamic_field):
@pytest.mark.parametrize("expr_prefix", ["json_contains", "JSON_CONTAINS"])
def test_query_expr_json_contains(self, enable_dynamic_field, expr_prefix):
"""
target: test query with expression using json_contains
method: query with expression using json_contains
@ -572,28 +574,22 @@ class TestQueryParams(TestcaseBase):
collection_w = self.init_collection_general(prefix, enable_dynamic_field=enable_dynamic_field)[0]
# 2. insert data
array = cf.gen_default_rows_data()
limit = 99
array = []
for i in range(ct.default_nb):
data = {
ct.default_int64_field_name: i,
ct.default_float_field_name: i * 1.0,
ct.default_string_field_name: str(i),
ct.default_json_field_name: {"number": i, "list": [m for m in range(i, i + limit)]},
ct.default_float_vec_field_name: cf.gen_vectors(1, ct.default_dim)[0]
}
array.append(data)
array[i][json_field] = {"number": i, "list": [m for m in range(i, i + limit)]}
collection_w.insert(array)
# 3. query
collection_w.load()
expressions = ["json_contains(json_field['list'], 1000)", "JSON_CONTAINS(json_field['list'], 1000)"]
for expression in expressions:
res = collection_w.query(expression)[0]
assert len(res) == limit
expression = f"{expr_prefix}({json_field}['list'], 1000)"
res = collection_w.query(expression)[0]
assert len(res) == limit
@pytest.mark.tags(CaseLabel.L1)
def test_query_expr_list_json_contains(self):
@pytest.mark.parametrize("expr_prefix", ["json_contains", "JSON_CONTAINS"])
def test_query_expr_list_json_contains(self, expr_prefix):
"""
target: test query with expression using json_contains
method: query with expression using json_contains
@ -616,13 +612,13 @@ class TestQueryParams(TestcaseBase):
# 3. query
collection_w.load()
expressions = ["json_contains(json_field, '1000')", "JSON_CONTAINS(json_field, '1000')"]
for expression in expressions:
res = collection_w.query(expression, output_fields=["count(*)"])[0]
assert res[0]["count(*)"] == limit
expression = f"{expr_prefix}({json_field}, '1000')"
res = collection_w.query(expression, output_fields=["count(*)"])[0]
assert res[0]["count(*)"] == limit
@pytest.mark.tags(CaseLabel.L2)
def test_query_expr_json_contains_combined_with_normal(self, enable_dynamic_field):
@pytest.mark.parametrize("expr_prefix", ["json_contains", "JSON_CONTAINS"])
def test_query_expr_json_contains_combined_with_normal(self, enable_dynamic_field, expr_prefix):
"""
target: test query with expression using json_contains
method: query with expression using json_contains
@ -632,30 +628,23 @@ class TestQueryParams(TestcaseBase):
collection_w = self.init_collection_general(prefix, enable_dynamic_field=enable_dynamic_field)[0]
# 2. insert data
array = cf.gen_default_rows_data()
limit = ct.default_nb // 3
array = []
for i in range(ct.default_nb):
data = {
ct.default_int64_field_name: i,
ct.default_float_field_name: i * 1.0,
ct.default_string_field_name: str(i),
ct.default_json_field_name: {"number": i, "list": [m for m in range(i, i + limit)]},
ct.default_float_vec_field_name: cf.gen_vectors(1, ct.default_dim)[0]
}
array.append(data)
array[i][ct.default_json_field_name] = {"number": i, "list": [m for m in range(i, i + limit)]}
collection_w.insert(array)
# 3. query
collection_w.load()
tar = 1000
expressions = [f"json_contains(json_field['list'], {tar}) && float > {tar - limit // 2}",
f"JSON_CONTAINS(json_field['list'], {tar}) && float > {tar - limit // 2}"]
for expression in expressions:
res = collection_w.query(expression)[0]
assert len(res) == limit // 2
expression = f"{expr_prefix}({json_field}['list'], {tar}) && float > {tar - limit // 2}"
res = collection_w.query(expression)[0]
assert len(res) == limit // 2
@pytest.mark.tags(CaseLabel.L2)
def test_query_expr_json_contains_pagination(self, enable_dynamic_field):
@pytest.mark.tags(CaseLabel.L1)
@pytest.mark.parametrize("expr_prefix", ["json_contains_all", "JSON_CONTAINS_ALL"])
def test_query_expr_all_datatype_json_contains_all(self, enable_dynamic_field, expr_prefix):
"""
target: test query with expression using json_contains
method: query with expression using json_contains
@ -665,26 +654,342 @@ class TestQueryParams(TestcaseBase):
collection_w = self.init_collection_general(prefix, enable_dynamic_field=enable_dynamic_field)[0]
# 2. insert data
limit = ct.default_nb // 3
array = []
array = cf.gen_default_rows_data()
limit = 10
for i in range(ct.default_nb):
data = {
ct.default_int64_field_name: i,
ct.default_float_field_name: i * 1.0,
ct.default_string_field_name: str(i),
ct.default_json_field_name: {"number": i, "list": [m for m in range(i, i + limit)]},
ct.default_float_vec_field_name: cf.gen_vectors(1, ct.default_dim)[0]
content = {
"listInt": [m for m in range(i, i + limit)], # test for int
"listStr": [str(m) for m in range(i, i + limit)], # test for string
"listFlt": [m * 1.0 for m in range(i, i + limit)], # test for float
"listBool": [bool(i % 2)], # test for bool
"listList": [[i, str(i + 1)], [i * 1.0, i + 1]], # test for list
"listMix": [i, i * 1.1, str(i), bool(i % 2), [i, str(i)]] # test for mixed data
}
array.append(data)
array[i][ct.default_json_field_name] = content
collection_w.insert(array)
# 3. query
collection_w.load()
expressions = ["json_contains(json_field['list'], 1000)", "JSON_CONTAINS(json_field['list'], 1000)"]
# test for int
_id = random.randint(0, ct.default_nb)
ids = [i for i in range(_id, _id + limit)]
expression = f"{expr_prefix}({json_field}['listInt'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == 1
# test for string
ids = [str(_id), str(_id + 1), str(_id + 2)]
expression = f"{expr_prefix}({json_field}['listStr'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == limit - len(ids) + 1
# test for float
ids = [_id * 1.0]
expression = f"{expr_prefix}({json_field}['listFlt'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == limit
# test for bool
ids = [True]
expression = f"{expr_prefix}({json_field}['listBool'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == ct.default_nb // 2
# test for list
ids = [[_id, str(_id + 1)]]
expression = f"{expr_prefix}({json_field}['listList'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == 1
# test for mixed data
ids = [_id * 1.1, bool(_id % 2)]
expression = f"{expr_prefix}({json_field}['listMix'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == 1
@pytest.mark.tags(CaseLabel.L2)
@pytest.mark.parametrize("expr_prefix", ["json_contains_all", "JSON_CONTAINS_ALL"])
def test_query_expr_list_all_datatype_json_contains_all(self, expr_prefix):
"""
target: test query with expression using json_contains_all
method: query with expression using json_contains_all
expected: succeed
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, enable_dynamic_field=True)[0]
# 2. insert data
array = cf.gen_default_rows_data(with_json=False)
limit = 10
for i in range(ct.default_nb):
array[i]["listInt"] = [m for m in range(i, i + limit)] # test for int
array[i]["listStr"] = [str(m) for m in range(i, i + limit)] # test for string
array[i]["listFlt"] = [m * 1.0 for m in range(i, i + limit)] # test for float
array[i]["listBool"] = [bool(i % 2)] # test for bool
array[i]["listList"] = [[i, str(i + 1)], [i * 1.0, i + 1]] # test for list
array[i]["listMix"] = [i, i * 1.1, str(i), bool(i % 2), [i, str(i)]] # test for mixed data
collection_w.insert(array)
# 3. query
collection_w.load()
# test for int
_id = random.randint(0, ct.default_nb)
ids = [i for i in range(_id, _id + limit)]
expression = f"{expr_prefix}(listInt, {ids})"
res = collection_w.query(expression)[0]
assert len(res) == 1
# test for string
ids = [str(_id), str(_id + 1), str(_id + 2)]
expression = f"{expr_prefix}(listStr, {ids})"
res = collection_w.query(expression)[0]
assert len(res) == limit - len(ids) + 1
# test for float
ids = [_id * 1.0]
expression = f"{expr_prefix}(listFlt, {ids})"
res = collection_w.query(expression, output_fields=["count(*)"])[0]
assert res[0]["count(*)"] == limit
# test for bool
ids = [True]
expression = f"{expr_prefix}(listBool, {ids})"
res = collection_w.query(expression)[0]
assert len(res) == ct.default_nb // 2
# test for list
ids = [[_id, str(_id + 1)]]
expression = f"{expr_prefix}(listList, {ids})"
res = collection_w.query(expression)[0]
assert len(res) == 1
# test for mixed data
ids = [_id * 1.1, bool(_id % 2)]
expression = f"{expr_prefix}(listMix, {ids})"
res = collection_w.query(expression)[0]
assert len(res) == 1
@pytest.mark.tags(CaseLabel.L1)
@pytest.mark.parametrize("expr_prefix", ["json_contains_any", "JSON_CONTAINS_ANY"])
def test_query_expr_all_datatype_json_contains_any(self, enable_dynamic_field, expr_prefix):
"""
target: test query with expression using json_contains
method: query with expression using json_contains
expected: succeed
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, enable_dynamic_field=enable_dynamic_field)[0]
# 2. insert data
array = cf.gen_default_rows_data()
limit = 10
for i in range(ct.default_nb):
content = {
"listInt": [m for m in range(i, i + limit)], # test for int
"listStr": [str(m) for m in range(i, i + limit)], # test for string
"listFlt": [m * 1.0 for m in range(i, i + limit)], # test for float
"listBool": [bool(i % 2)], # test for bool
"listList": [[i, str(i + 1)], [i * 1.0, i + 1]], # test for list
"listMix": [i, i * 1.1, str(i), bool(i % 2), [i, str(i)]] # test for mixed data
}
array[i][ct.default_json_field_name] = content
collection_w.insert(array)
# 3. query
collection_w.load()
# test for int
_id = random.randint(limit, ct.default_nb - limit)
ids = [i for i in range(_id, _id + limit)]
expression = f"{expr_prefix}({json_field}['listInt'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == 2 * limit - 1
# test for string
ids = [str(_id), str(_id + 1), str(_id + 2)]
expression = f"{expr_prefix}({json_field}['listStr'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == limit + len(ids) - 1
# test for float
ids = [_id * 1.0]
expression = f"{expr_prefix}({json_field}['listFlt'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == limit
# test for bool
ids = [True]
expression = f"{expr_prefix}({json_field}['listBool'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == ct.default_nb // 2
# test for list
ids = [[_id, str(_id + 1)]]
expression = f"{expr_prefix}({json_field}['listList'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == 1
# test for mixed data
ids = [_id, bool(_id % 2)]
expression = f"{expr_prefix}({json_field}['listMix'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == ct.default_nb // 2
@pytest.mark.tags(CaseLabel.L2)
@pytest.mark.parametrize("expr_prefix", ["json_contains_any", "JSON_CONTAINS_ANY"])
def test_query_expr_list_all_datatype_json_contains_any(self, expr_prefix):
"""
target: test query with expression using json_contains_any
method: query with expression using json_contains_any
expected: succeed
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, enable_dynamic_field=True)[0]
# 2. insert data
array = cf.gen_default_rows_data(with_json=False)
limit = 10
for i in range(ct.default_nb):
array[i]["listInt"] = [m for m in range(i, i + limit)] # test for int
array[i]["listStr"] = [str(m) for m in range(i, i + limit)] # test for string
array[i]["listFlt"] = [m * 1.0 for m in range(i, i + limit)] # test for float
array[i]["listBool"] = [bool(i % 2)] # test for bool
array[i]["listList"] = [[i, str(i + 1)], [i * 1.0, i + 1]] # test for list
array[i]["listMix"] = [i, i * 1.1, str(i), bool(i % 2), [i, str(i)]] # test for mixed data
collection_w.insert(array)
# 3. query
collection_w.load()
# test for int
_id = random.randint(limit, ct.default_nb - limit)
ids = [i for i in range(_id, _id + limit)]
expression = f"{expr_prefix}(listInt, {ids})"
res = collection_w.query(expression)[0]
assert len(res) == 2 * limit - 1
# test for string
ids = [str(_id), str(_id + 1), str(_id + 2)]
expression = f"{expr_prefix}(listStr, {ids})"
res = collection_w.query(expression)[0]
assert len(res) == limit + len(ids) - 1
# test for float
ids = [_id * 1.0]
expression = f"{expr_prefix}(listFlt, {ids})"
res = collection_w.query(expression, output_fields=["count(*)"])[0]
assert res[0]["count(*)"] == limit
# test for bool
ids = [True]
expression = f"{expr_prefix}(listBool, {ids})"
res = collection_w.query(expression)[0]
assert len(res) == ct.default_nb // 2
# test for list
ids = [[_id, str(_id + 1)]]
expression = f"{expr_prefix}(listList, {ids})"
res = collection_w.query(expression)[0]
assert len(res) == 1
# test for mixed data
ids = [_id * 1.1, bool(_id % 2)]
expression = f"{expr_prefix}(listMix, {ids})"
res = collection_w.query(expression)[0]
assert len(res) == ct.default_nb // 2
@pytest.mark.tags(CaseLabel.L2)
@pytest.mark.parametrize("expr_prefix", ["json_contains_any", "json_contains_all"])
def test_query_expr_json_contains_list_in_list(self, expr_prefix, enable_dynamic_field):
"""
target: test query with expression using json_contains_any
method: query with expression using json_contains_any
expected: succeed
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, enable_dynamic_field=enable_dynamic_field)[0]
# 2. insert data
array = cf.gen_default_rows_data()
for i in range(ct.default_nb):
array[i][json_field] = {"list": [[i, i + 1], [i, i + 2], [i, i + 3]]}
collection_w.insert(array)
# 3. query
collection_w.load()
_id = random.randint(3, ct.default_nb-3)
ids = [[_id, _id + 1]]
expression = f"{expr_prefix}({json_field}['list'], {ids})"
res = collection_w.query(expression)[0]
assert len(res) == 1
ids = [[_id + 4, _id], [_id]]
expression = f"{expr_prefix}({json_field}['list'], {ids})"
collection_w.query(expression, check_task=CheckTasks.check_query_empty)
@pytest.fixture(scope="function", params=ct.get_invalid_strs)
def get_not_list(self, request):
if request.param == [1, "2", 3]:
pytest.skip('[1, "2", 3] is valid type for list')
yield request.param
@pytest.mark.tags(CaseLabel.L2)
@pytest.mark.parametrize("expr_prefix", ["json_contains_any", "JSON_CONTAINS_ANY",
"json_contains_all", "JSON_CONTAINS_ALL"])
def test_query_expr_json_contains_invalid_type(self, expr_prefix, enable_dynamic_field, get_not_list):
"""
target: test query with expression using json_contains_any
method: query with expression using json_contains_any
expected: succeed
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, enable_dynamic_field=enable_dynamic_field)[0]
# 2. insert data
array = cf.gen_default_rows_data()
for i in range(ct.default_nb):
array[i][json_field] = {"number": i, "list": [m for m in range(i, i + 10)]}
collection_w.insert(array)
# 3. query
collection_w.load()
expression = f"{expr_prefix}({json_field}['list'], {get_not_list})"
error = {ct.err_code: 1, ct.err_msg: f"cannot parse expression {expression}, error: "
f"error: {expr_prefix} operation element must be an array"}
collection_w.query(expression, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L2)
@pytest.mark.parametrize("expr_prefix", ["json_contains", "JSON_CONTAINS"])
def test_query_expr_json_contains_pagination(self, enable_dynamic_field, expr_prefix):
"""
target: test query with expression using json_contains
method: query with expression using json_contains
expected: succeed
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, enable_dynamic_field=enable_dynamic_field)[0]
# 2. insert data
array = cf.gen_default_rows_data()
limit = ct.default_nb // 3
for i in range(ct.default_nb):
array[i][json_field] = {"number": i, "list": [m for m in range(i, i + limit)]}
collection_w.insert(array)
# 3. query
collection_w.load()
expression = f"{expr_prefix}({json_field}['list'], 1000)"
offset = random.randint(1, limit)
for expression in expressions:
res = collection_w.query(expression, limit=limit, offset=offset)[0]
assert len(res) == limit - offset
res = collection_w.query(expression, limit=limit, offset=offset)[0]
assert len(res) == limit - offset
@pytest.mark.tags(CaseLabel.L1)
def test_query_expr_empty_without_limit(self):

218
tests/python_client/testcases/test_search.py
View File

@ -2941,112 +2941,6 @@ class TestCollectionSearch(TestcaseBase):
ids = hits.ids
assert set(ids).issubset(filter_ids_set)
@pytest.mark.tags(CaseLabel.L1)
def test_search_with_expression_json_contains(self, enable_dynamic_field):
"""
target: test search with expression using json_contains
method: search with expression (json_contains)
expected: search successfully
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, enable_dynamic_field=enable_dynamic_field)[0]
# 2. insert data
array = []
for i in range(default_nb):
data = {
default_int64_field_name: i,
default_float_field_name: i*1.0,
default_string_field_name: str(i),
default_json_field_name: {"number": i, "list": [i, i+1, i+2]},
default_float_vec_field_name: gen_vectors(1, default_dim)[0]
}
array.append(data)
collection_w.insert(array)
# 2. search
collection_w.load()
log.info("test_search_with_output_field_json_contains: Searching collection %s" % collection_w.name)
expressions = ["json_contains(json_field['list'], 100)", "JSON_CONTAINS(json_field['list'], 100)"]
for expression in expressions:
collection_w.search(vectors[:default_nq], default_search_field,
default_search_params, default_limit, expression,
check_task=CheckTasks.check_search_results,
check_items={"nq": default_nq,
"limit": 3})
@pytest.mark.tags(CaseLabel.L2)
def test_search_with_expression_json_contains_list(self, auto_id):
"""
target: test search with expression using json_contains
method: search with expression (json_contains)
expected: search successfully
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, auto_id=auto_id, enable_dynamic_field=True)[0]
# 2. insert data
limit = 100
array = []
for i in range(default_nb):
data = {
default_int64_field_name: i,
default_json_field_name: [j for j in range(i, i + limit)],
default_float_vec_field_name: gen_vectors(1, default_dim)[0]
}
if auto_id:
data.pop(default_int64_field_name, None)
array.append(data)
collection_w.insert(array)
# 2. search
collection_w.load()
log.info("test_search_with_output_field_json_contains: Searching collection %s" % collection_w.name)
expressions = ["json_contains(json_field, 100)", "JSON_CONTAINS(json_field, 100)"]
for expression in expressions:
collection_w.search(vectors[:default_nq], default_search_field,
default_search_params, limit, expression,
check_task=CheckTasks.check_search_results,
check_items={"nq": default_nq,
"limit": limit})
@pytest.mark.tags(CaseLabel.L2)
def test_search_expression_json_contains_combined_with_normal(self, enable_dynamic_field):
"""
target: test search with expression using json_contains
method: search with expression (json_contains)
expected: search successfully
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, enable_dynamic_field=enable_dynamic_field)[0]
# 2. insert data
limit = 100
array = []
for i in range(default_nb):
data = {
default_int64_field_name: i,
default_float_field_name: i * 1.0,
default_string_field_name: str(i),
default_json_field_name: {"number": i, "list": [str(j) for j in range(i, i + limit)]},
default_float_vec_field_name: gen_vectors(1, default_dim)[0]
}
array.append(data)
collection_w.insert(array)
# 2. search
collection_w.load()
log.info("test_search_with_output_field_json_contains: Searching collection %s" % collection_w.name)
tar = 1000
expressions = [f"json_contains(json_field['list'], '{tar}') && int64 > {tar - limit // 2}",
f"JSON_CONTAINS(json_field['list'], '{tar}') && int64 > {tar - limit // 2}"]
for expression in expressions:
collection_w.search(vectors[:default_nq], default_search_field,
default_search_params, limit, expression,
check_task=CheckTasks.check_search_results,
check_items={"nq": default_nq,
"limit": limit // 2})
@pytest.mark.tags(CaseLabel.L2)
def test_search_expression_all_data_type(self, nb, nq, dim, auto_id, _async, enable_dynamic_field):
"""
@ -8414,6 +8308,112 @@ class TestCollectionSearchJSON(TestcaseBase):
"ids": insert_ids,
"limit": default_limit})
@pytest.mark.tags(CaseLabel.L1)
def test_search_expression_json_contains(self, enable_dynamic_field):
"""
target: test search with expression using json_contains
method: search with expression (json_contains)
expected: search successfully
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, enable_dynamic_field=enable_dynamic_field)[0]
# 2. insert data
array = []
for i in range(default_nb):
data = {
default_int64_field_name: i,
default_float_field_name: i * 1.0,
default_string_field_name: str(i),
default_json_field_name: {"number": i, "list": [i, i + 1, i + 2]},
default_float_vec_field_name: gen_vectors(1, default_dim)[0]
}
array.append(data)
collection_w.insert(array)
# 2. search
collection_w.load()
log.info("test_search_with_output_field_json_contains: Searching collection %s" % collection_w.name)
expressions = ["json_contains(json_field['list'], 100)", "JSON_CONTAINS(json_field['list'], 100)"]
for expression in expressions:
collection_w.search(vectors[:default_nq], default_search_field,
default_search_params, default_limit, expression,
check_task=CheckTasks.check_search_results,
check_items={"nq": default_nq,
"limit": 3})
@pytest.mark.tags(CaseLabel.L2)
def test_search_expression_json_contains_list(self, auto_id):
"""
target: test search with expression using json_contains
method: search with expression (json_contains)
expected: search successfully
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, auto_id=auto_id, enable_dynamic_field=True)[0]
# 2. insert data
limit = 100
array = []
for i in range(default_nb):
data = {
default_int64_field_name: i,
default_json_field_name: [j for j in range(i, i + limit)],
default_float_vec_field_name: gen_vectors(1, default_dim)[0]
}
if auto_id:
data.pop(default_int64_field_name, None)
array.append(data)
collection_w.insert(array)
# 2. search
collection_w.load()
log.info("test_search_with_output_field_json_contains: Searching collection %s" % collection_w.name)
expressions = ["json_contains(json_field, 100)", "JSON_CONTAINS(json_field, 100)"]
for expression in expressions:
collection_w.search(vectors[:default_nq], default_search_field,
default_search_params, limit, expression,
check_task=CheckTasks.check_search_results,
check_items={"nq": default_nq,
"limit": limit})
@pytest.mark.tags(CaseLabel.L2)
def test_search_expression_json_contains_combined_with_normal(self, enable_dynamic_field):
"""
target: test search with expression using json_contains
method: search with expression (json_contains)
expected: search successfully
"""
# 1. initialize with data
collection_w = self.init_collection_general(prefix, enable_dynamic_field=enable_dynamic_field)[0]
# 2. insert data
limit = 100
array = []
for i in range(default_nb):
data = {
default_int64_field_name: i,
default_float_field_name: i * 1.0,
default_string_field_name: str(i),
default_json_field_name: {"number": i, "list": [str(j) for j in range(i, i + limit)]},
default_float_vec_field_name: gen_vectors(1, default_dim)[0]
}
array.append(data)
collection_w.insert(array)
# 2. search
collection_w.load()
log.info("test_search_with_output_field_json_contains: Searching collection %s" % collection_w.name)
tar = 1000
expressions = [f"json_contains(json_field['list'], '{tar}') && int64 > {tar - limit // 2}",
f"JSON_CONTAINS(json_field['list'], '{tar}') && int64 > {tar - limit // 2}"]
for expression in expressions:
collection_w.search(vectors[:default_nq], default_search_field,
default_search_params, limit, expression,
check_task=CheckTasks.check_search_results,
check_items={"nq": default_nq,
"limit": limit // 2})
class TestSearchIterator(TestcaseBase):
""" Test case of search iterator """
@ -8427,13 +8427,17 @@ class TestSearchIterator(TestcaseBase):
expected: search successfully
"""
# 1. initialize with data
limit = 100
dim = 128
collection_w = self.init_collection_general(prefix, True, dim=dim, is_index=False)[0]
collection_w.create_index(field_name, {"metric_type": "L2"})
collection_w.load()
# 2. search iterator
search_params = {"metric_type": "L2"}
limit = 200
collection_w.search_iterator(vectors[:1], field_name, search_params, limit,
check_task=CheckTasks.check_search_iterator,
check_items={"limit": limit})
limit = 600
collection_w.search_iterator(vectors[:1], field_name, search_params, limit,
check_task=CheckTasks.check_search_iterator,
check_items={"limit": limit})