1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
|
import sys
from sqlalchemy import Column
from sqlalchemy import create_engine
from sqlalchemy import Integer
from sqlalchemy import String
from sqlalchemy import Table
from sqlalchemy import testing
from sqlalchemy import Unicode
from sqlalchemy.engine.row import Row
from sqlalchemy.testing import AssertsExecutionResults
from sqlalchemy.testing import eq_
from sqlalchemy.testing import fixtures
from sqlalchemy.testing import profiling
NUM_FIELDS = 10
NUM_RECORDS = 1000
class ResultSetTest(fixtures.TablesTest, AssertsExecutionResults):
__backend__ = True
@classmethod
def define_tables(cls, metadata):
Table(
"table1",
metadata,
*[
Column("field%d" % fnum, String(50))
for fnum in range(NUM_FIELDS)
],
)
Table(
"table2",
metadata,
*[
Column("field%d" % fnum, Unicode(50))
for fnum in range(NUM_FIELDS)
],
)
@classmethod
def insert_data(cls, connection):
conn = connection
t, t2 = cls.tables("table1", "table2")
conn.execute(
t.insert(),
[
{
"field%d" % fnum: "value%d" % fnum
for fnum in range(NUM_FIELDS)
}
for r_num in range(NUM_RECORDS)
],
)
conn.execute(
t2.insert(),
[
{
"field%d" % fnum: "value%d" % fnum
for fnum in range(NUM_FIELDS)
}
for r_num in range(NUM_RECORDS)
],
)
# warm up type caches
conn.execute(t.select()).fetchall()
conn.execute(t2.select()).fetchall()
conn.exec_driver_sql(
"SELECT %s FROM table1"
% (", ".join("field%d" % fnum for fnum in range(NUM_FIELDS)))
).fetchall()
conn.exec_driver_sql(
"SELECT %s FROM table2"
% (", ".join("field%d" % fnum for fnum in range(NUM_FIELDS)))
).fetchall()
@profiling.function_call_count(variance=0.15)
def test_string(self):
t, t2 = self.tables("table1", "table2")
with testing.db.connect().execution_options(
compiled_cache=None
) as conn:
[tuple(row) for row in conn.execute(t.select()).fetchall()]
@profiling.function_call_count(variance=0.15)
def test_unicode(self):
t, t2 = self.tables("table1", "table2")
with testing.db.connect().execution_options(
compiled_cache=None
) as conn:
[tuple(row) for row in conn.execute(t2.select()).fetchall()]
@profiling.function_call_count(variance=0.15)
def test_raw_string(self):
stmt = "SELECT %s FROM table1" % (
", ".join("field%d" % fnum for fnum in range(NUM_FIELDS))
)
with testing.db.connect() as conn:
[tuple(row) for row in conn.exec_driver_sql(stmt).fetchall()]
@profiling.function_call_count(variance=0.15)
def test_raw_unicode(self):
stmt = "SELECT %s FROM table2" % (
", ".join("field%d" % fnum for fnum in range(NUM_FIELDS))
)
with testing.db.connect() as conn:
[tuple(row) for row in conn.exec_driver_sql(stmt).fetchall()]
@profiling.function_call_count()
def test_fetch_by_key_mappings(self):
t, t2 = self.tables("table1", "table2")
with testing.db.connect().execution_options(
compiled_cache=None
) as conn:
for row in conn.execute(t.select()).mappings().fetchall():
[row["field%d" % fnum] for fnum in range(NUM_FIELDS)]
@testing.combinations(
(False, 0),
(True, 1),
(False, 1),
(False, 2),
)
def test_one_or_none(self, one_or_first, rows_present):
# TODO: this is not testing the ORM level "scalar_mapping"
# mode which has a different performance profile
t, t2 = self.tables("table1", "table2")
with testing.db.connect().execution_options(
compiled_cache=None
) as conn:
stmt = t.select()
if rows_present == 0:
stmt = stmt.where(1 == 0)
elif rows_present == 1:
stmt = stmt.limit(1)
result = conn.execute(stmt)
@profiling.function_call_count()
def go():
if one_or_first:
result.one()
else:
result.first()
try:
go()
finally:
# hmmmm, connection close context manager does not
# seem to be handling this for a profile that skips
result.close()
def test_contains_doesnt_compile(self, connection):
t, t2 = self.tables("table1", "table2")
row = connection.execute(t.select()).first()
c1 = Column("some column", Integer) + Column(
"some other column", Integer
)
@profiling.function_call_count(variance=0.10)
def go():
c1 in row._mapping
go()
class ExecutionTest(fixtures.TestBase):
__backend__ = True
def test_minimal_connection_execute(self):
# create an engine without any instrumentation.
e = create_engine("sqlite://")
c = e.connect()
# ensure initial connect activities complete
c.exec_driver_sql("select 1")
@profiling.function_call_count()
def go():
c.exec_driver_sql("select 1")
try:
go()
finally:
c.close()
def test_minimal_engine_execute(self, variance=0.10):
# create an engine without any instrumentation.
e = create_engine("sqlite://")
# ensure initial connect activities complete
with e.connect() as conn:
conn.exec_driver_sql("select 1")
@profiling.function_call_count()
def go():
with e.connect() as conn:
conn.exec_driver_sql("select 1")
go()
class RowTest(fixtures.TestBase):
__requires__ = ("cpython",)
__backend__ = True
def _rowproxy_fixture(self, keys, processors, row, row_cls):
class MockMeta:
def _warn_for_nonint(self, arg):
pass
metadata = MockMeta()
keymap = {}
for index, (keyobjs, values) in enumerate(list(zip(keys, row))):
for key in keyobjs:
keymap[key] = (index, key)
keymap[index] = (index, key)
key_to_index = {key: rec[0] for key, rec in keymap.items()}
return row_cls(metadata, processors, key_to_index, row)
def _test_getitem_value_refcounts_new(self, seq_factory):
col1, col2 = object(), object()
def proc1(value):
return value
value1, value2 = "x", "y"
row = self._rowproxy_fixture(
[(col1, "a"), (col2, "b")],
[proc1, None],
seq_factory([value1, value2]),
Row,
)
v1_refcount = sys.getrefcount(value1)
v2_refcount = sys.getrefcount(value2)
for i in range(10):
row._mapping[col1]
row._mapping["a"]
row._mapping[col2]
row._mapping["b"]
row[0]
row[1]
row[0:2]
eq_(sys.getrefcount(value1), v1_refcount)
eq_(sys.getrefcount(value2), v2_refcount)
def test_value_refcounts_pure_tuple(self):
self._test_getitem_value_refcounts_new(tuple)
def test_value_refcounts_custom_seq(self):
class CustomSeq:
def __init__(self, data):
self.data = data
def __getitem__(self, item):
return self.data[item]
def __iter__(self):
return iter(self.data)
self._test_getitem_value_refcounts_new(CustomSeq)
|
