def test_w_array_empty(self):
from google.protobuf.struct_pb2 import Value
from google.cloud.proto.spanner.v1.type_pb2 import Type, ARRAY, INT64
field_type = Type(code=ARRAY, array_element_type=Type(code=INT64))
value_pb = Value()
self.assertEqual(self._callFUT(value_pb, field_type), [])
def test__merge_chunk_array_of_array_of_int(self):
from google.cloud.proto.spanner.v1.type_pb2 import StructType
from google.cloud.proto.spanner.v1.type_pb2 import Type
subarray_type = Type(
code='ARRAY', array_element_type=Type(code='INT64'))
array_type = Type(code='ARRAY', array_element_type=subarray_type)
iterator = _MockCancellableIterator()
streamed = self._make_one(iterator)
FIELDS = [
StructType.Field(name='loloi', type=array_type)
]
streamed._metadata = self._make_result_set_metadata(FIELDS)
streamed._pending_chunk = self._make_list_value(value_pbs=[
self._make_list_value([0, 1]),
self._make_list_value([2]),
])
chunk = self._make_list_value(value_pbs=[
self._make_list_value([3]),
self._make_list_value([4, 5]),
])
merged = streamed._merge_chunk(chunk)
expected = self._make_list_value(value_pbs=[
self._make_list_value([0, 1]),
self._make_list_value([23]),
self._make_list_value([4, 5]),
])
self.assertEqual(merged, expected)
self.assertIsNone(streamed._pending_chunk)
def _makeArrayField(name, element_type_code=None, element_type=None):
from google.cloud.proto.spanner.v1.type_pb2 import StructType
from google.cloud.proto.spanner.v1.type_pb2 import Type
if element_type is None:
element_type = Type(code=element_type_code)
array_type = Type(code='ARRAY', array_element_type=element_type)
return StructType.Field(name=name, type=array_type)
def test__merge_chunk_array_of_array_of_string(self):
from google.cloud.proto.spanner.v1.type_pb2 import StructType
from google.cloud.proto.spanner.v1.type_pb2 import Type
subarray_type = Type(code='ARRAY',
array_element_type=Type(code='STRING'))
array_type = Type(code='ARRAY', array_element_type=subarray_type)
iterator = _MockCancellableIterator()
streamed = self._make_one(iterator)
FIELDS = [StructType.Field(name='lolos', type=array_type)]
streamed._metadata = _ResultSetMetadataPB(FIELDS)
streamed._pending_chunk = self._makeListValue(value_pbs=[
self._makeListValue([u'A', u'B']),
self._makeListValue([u'C']),
])
chunk = self._makeListValue(value_pbs=[
self._makeListValue([u'D']),
self._makeListValue([u'E', u'F']),
])
merged = streamed._merge_chunk(chunk)
expected = self._makeListValue(value_pbs=[
self._makeListValue([u'A', u'B']),
self._makeListValue([u'CD']),
self._makeListValue([u'E', u'F']),
])
self.assertEqual(merged, expected)
self.assertIsNone(streamed._pending_chunk)
def _makeStructType(struct_type_fields):
from google.cloud.proto.spanner.v1.type_pb2 import StructType
from google.cloud.proto.spanner.v1.type_pb2 import Type
fields = [
StructType.Field(name=key, type=Type(code=value))
for key, value in struct_type_fields
]
struct_type = StructType(fields=fields)
return Type(code='STRUCT', struct_type=struct_type)
def test_empty(self):
from google.cloud.proto.spanner.v1.type_pb2 import Type, StructType
from google.cloud.proto.spanner.v1.type_pb2 import STRING, INT64
struct_type_pb = StructType(fields=[
StructType.Field(name='name', type=Type(code=STRING)),
StructType.Field(name='age', type=Type(code=INT64)),
])
self.assertEqual(self._callFUT(rows=[], row_type=struct_type_pb), [])
def test_w_array_non_empty(self):
from google.protobuf.struct_pb2 import Value, ListValue
from google.cloud.proto.spanner.v1.type_pb2 import Type, ARRAY, INT64
field_type = Type(code=ARRAY, array_element_type=Type(code=INT64))
VALUES = [32, 19, 5]
values_pb = ListValue(
values=[Value(string_value=str(value)) for value in VALUES])
value_pb = Value(list_value=values_pb)
self.assertEqual(self._callFUT(value_pb, field_type), VALUES)
def test_w_struct(self):
from google.protobuf.struct_pb2 import Value
from google.cloud.proto.spanner.v1.type_pb2 import Type, StructType
from google.cloud.proto.spanner.v1.type_pb2 import (STRUCT, STRING,
INT64)
from google.cloud.spanner._helpers import _make_list_value_pb
VALUES = [u'phred', 32]
struct_type_pb = StructType(fields=[
StructType.Field(name='name', type=Type(code=STRING)),
StructType.Field(name='age', type=Type(code=INT64)),
])
field_type = Type(code=STRUCT, struct_type=struct_type_pb)
value_pb = Value(list_value=_make_list_value_pb(VALUES))
self.assertEqual(self._callFUT(value_pb, field_type), VALUES)
def test_w_null(self):
from google.protobuf.struct_pb2 import Value, NULL_VALUE
from google.cloud.proto.spanner.v1.type_pb2 import Type, STRING
field_type = Type(code=STRING)
value_pb = Value(null_value=NULL_VALUE)
self.assertEqual(self._callFUT(value_pb, field_type), None)
def test_non_empty(self):
from google.cloud.proto.spanner.v1.type_pb2 import Type, StructType
from google.cloud.proto.spanner.v1.type_pb2 import STRING, INT64
from google.cloud.spanner._helpers import _make_list_value_pbs
VALUES = [
[u'phred', 32],
[u'bharney', 31],
]
struct_type_pb = StructType(fields=[
StructType.Field(name='name', type=Type(code=STRING)),
StructType.Field(name='age', type=Type(code=INT64)),
])
values_pbs = _make_list_value_pbs(VALUES)
self.assertEqual(
self._callFUT(rows=values_pbs, row_type=struct_type_pb), VALUES)
def test_w_bool(self):
from google.protobuf.struct_pb2 import Value
from google.cloud.proto.spanner.v1.type_pb2 import Type, BOOL
VALUE = True
field_type = Type(code=BOOL)
value_pb = Value(bool_value=VALUE)
self.assertEqual(self._callFUT(value_pb, field_type), VALUE)
def test_w_int(self):
from google.protobuf.struct_pb2 import Value
from google.cloud.proto.spanner.v1.type_pb2 import Type, INT64
VALUE = 12345
field_type = Type(code=INT64)
value_pb = Value(string_value=str(VALUE))
self.assertEqual(self._callFUT(value_pb, field_type), VALUE)
def test_w_float(self):
from google.protobuf.struct_pb2 import Value
from google.cloud.proto.spanner.v1.type_pb2 import Type, FLOAT64
VALUE = 3.14159
field_type = Type(code=FLOAT64)
value_pb = Value(number_value=VALUE)
self.assertEqual(self._callFUT(value_pb, field_type), VALUE)
def test_w_bytes(self):
from google.protobuf.struct_pb2 import Value
from google.cloud.proto.spanner.v1.type_pb2 import Type, BYTES
VALUE = b'Value'
field_type = Type(code=BYTES)
value_pb = Value(string_value=VALUE)
self.assertEqual(self._callFUT(value_pb, field_type), VALUE)
def test_w_date(self):
import datetime
from google.protobuf.struct_pb2 import Value
from google.cloud.proto.spanner.v1.type_pb2 import Type, DATE
VALUE = datetime.date.today()
field_type = Type(code=DATE)
value_pb = Value(string_value=VALUE.isoformat())
self.assertEqual(self._callFUT(value_pb, field_type), VALUE)
def test_w_unknown_type(self):
from google.protobuf.struct_pb2 import Value
from google.cloud.proto.spanner.v1.type_pb2 import Type
from google.cloud.proto.spanner.v1.type_pb2 import (
TYPE_CODE_UNSPECIFIED)
field_type = Type(code=TYPE_CODE_UNSPECIFIED)
value_pb = Value(string_value='Borked')
with self.assertRaises(ValueError):
self._callFUT(value_pb, field_type)
def _query_w_concurrent_update(self, transaction, pkey):
SQL = 'SELECT * FROM counters WHERE name = @name'
rows = list(transaction.execute_sql(
SQL,
params={'name': pkey},
param_types={'name': Type(code=STRING)},
))
self.assertEqual(len(rows), 1)
pkey, value = rows[0]
transaction.update(
COUNTERS_TABLE, COUNTERS_COLUMNS, [[pkey, value + 1]])
def test_execute_sql_w_query_param(self):
SQL = 'SELECT * FROM contacts WHERE first_name = @first_name'
ROW_COUNT = 10
session, _, committed = self._set_up_table(ROW_COUNT)
snapshot = session.snapshot(read_timestamp=committed)
rows = list(snapshot.execute_sql(
SQL,
params={'first_name': 'First%09d' % (0,)},
param_types={'first_name': Type(code=STRING)},
))
self.assertEqual(len(rows), 1)
def test_w_timestamp_w_nanos(self):
from google.protobuf.struct_pb2 import Value
from google.cloud.proto.spanner.v1.type_pb2 import Type, TIMESTAMP
from google.cloud._helpers import UTC, _datetime_to_rfc3339
from google.cloud.spanner._helpers import TimestampWithNanoseconds
VALUE = TimestampWithNanoseconds(2016,
12,
20,
21,
13,
47,
nanosecond=123456789,
tzinfo=UTC)
field_type = Type(code=TIMESTAMP)
value_pb = Value(string_value=_datetime_to_rfc3339(VALUE))
parsed = self._callFUT(value_pb, field_type)
self.assertIsInstance(parsed, TimestampWithNanoseconds)
self.assertEqual(parsed, VALUE)
def test_execute_sql_w_query_param(self):
session = self._db.session()
session.create()
self.to_delete.append(session)
with session.batch() as batch:
batch.delete(self.ALL_TYPES_TABLE, self.ALL)
batch.insert(self.ALL_TYPES_TABLE, self.ALL_TYPES_COLUMNS,
self.ALL_TYPES_ROWDATA)
snapshot = session.snapshot(read_timestamp=batch.committed)
# Cannot equality-test array values. See below for a test w/
# array of IDs.
self._check_sql_results(
snapshot,
sql='SELECT eye_d FROM all_types WHERE are_you_sure = @sure',
params={'sure': True},
param_types={'sure': Type(code=BOOL)},
expected=[(19, ), (99, )],
)
self._check_sql_results(
snapshot,
sql='SELECT eye_d FROM all_types WHERE raw_data = @bytes_1',
params={'bytes_1': self.BYTES_1},
param_types={'bytes_1': Type(code=BYTES)},
expected=[(19, ), (99, )],
)
self._check_sql_results(
snapshot,
sql='SELECT eye_d FROM all_types WHERE hwhen = @hwhen',
params={'hwhen': self.SOME_DATE},
param_types={'hwhen': Type(code=DATE)},
expected=[(19, )],
)
self._check_sql_results(
snapshot,
sql=('SELECT eye_d FROM all_types WHERE approx_value >= @lower'
' AND approx_value < @upper '),
params={
'lower': 0.0,
'upper': 1.0
},
param_types={
'lower': Type(code=FLOAT64),
'upper': Type(code=FLOAT64)
},
expected=[(19, )],
)
# Find -inf
self._check_sql_results(
snapshot,
sql='SELECT eye_d FROM all_types WHERE approx_value = @pos_inf',
params={'pos_inf': float('+inf')},
param_types={'pos_inf': Type(code=FLOAT64)},
expected=[(107, )],
)
# Find +inf
self._check_sql_results(
snapshot,
sql='SELECT eye_d FROM all_types WHERE approx_value = @neg_inf',
params={'neg_inf': float('-inf')},
param_types={'neg_inf': Type(code=FLOAT64)},
expected=[(207, )],
)
self._check_sql_results(
snapshot,
sql='SELECT description FROM all_types WHERE eye_d = @my_id',
params={'my_id': 19},
param_types={'my_id': Type(code=INT64)},
expected=[(u'dog', )],
)
self._check_sql_results(
snapshot,
sql='SELECT eye_d FROM all_types WHERE description = @description',
params={'description': u'dog'},
param_types={'description': Type(code=STRING)},
expected=[(19, )],
)
# NaNs cannot be searched for by equality.
self._check_sql_results(
snapshot,
sql='SELECT eye_d FROM all_types WHERE exactly_hwhen = @hwhen',
params={'hwhen': self.SOME_TIME},
param_types={'hwhen': Type(code=TIMESTAMP)},
expected=[(19, )],
)
array_type = Type(code=ARRAY, array_element_type=Type(code=INT64))
self._check_sql_results(
snapshot,
sql=('SELECT description FROM all_types '
'WHERE eye_d in UNNEST(@my_list)'),
params={'my_list': [19, 99]},
param_types={'my_list': array_type},
expected=[(u'dog', ), (u'cat', )],
)
def _execute_sql_helper(self, multi_use, first=True, count=0):
from google.protobuf.struct_pb2 import Struct
from google.cloud.proto.spanner.v1.result_set_pb2 import (
PartialResultSet, ResultSetMetadata, ResultSetStats)
from google.cloud.proto.spanner.v1.transaction_pb2 import (
TransactionSelector)
from google.cloud.proto.spanner.v1.type_pb2 import Type, StructType
from google.cloud.proto.spanner.v1.type_pb2 import STRING, INT64
from google.cloud.spanner._helpers import _make_value_pb
TXN_ID = b'DEADBEEF'
VALUES = [
[u'bharney', u'rhubbyl', 31],
[u'phred', u'phlyntstone', 32],
]
VALUE_PBS = [[_make_value_pb(item) for item in row] for row in VALUES]
MODE = 2 # PROFILE
TOKEN = b'DEADBEEF'
struct_type_pb = StructType(fields=[
StructType.Field(name='first_name', type=Type(code=STRING)),
StructType.Field(name='last_name', type=Type(code=STRING)),
StructType.Field(name='age', type=Type(code=INT64)),
])
metadata_pb = ResultSetMetadata(row_type=struct_type_pb)
stats_pb = ResultSetStats(query_stats=Struct(
fields={
'rows_returned': _make_value_pb(2),
}))
result_sets = [
PartialResultSet(values=VALUE_PBS[0], metadata=metadata_pb),
PartialResultSet(values=VALUE_PBS[1], stats=stats_pb),
]
iterator = _MockIterator(*result_sets)
database = _Database()
api = database.spanner_api = _FauxSpannerAPI(
_execute_streaming_sql_response=iterator)
session = _Session(database)
derived = self._makeDerived(session)
derived._multi_use = multi_use
derived._read_request_count = count
if not first:
derived._transaction_id = TXN_ID
result_set = derived.execute_sql(SQL_QUERY_WITH_PARAM,
PARAMS,
PARAM_TYPES,
query_mode=MODE)
self.assertEqual(derived._read_request_count, count + 1)
if multi_use:
self.assertIs(result_set._source, derived)
else:
self.assertIsNone(result_set._source)
result_set.consume_all()
self.assertEqual(list(result_set.rows), VALUES)
self.assertEqual(result_set.metadata, metadata_pb)
self.assertEqual(result_set.stats, stats_pb)
(r_session, sql, transaction, params, param_types, resume_token,
query_mode, options) = api._executed_streaming_sql_with
self.assertEqual(r_session, self.SESSION_NAME)
self.assertEqual(sql, SQL_QUERY_WITH_PARAM)
self.assertIsInstance(transaction, TransactionSelector)
if multi_use:
if first:
self.assertTrue(transaction.begin.read_only.strong)
else:
self.assertEqual(transaction.id, TXN_ID)
else:
self.assertTrue(transaction.single_use.read_only.strong)
expected_params = Struct(fields={
key: _make_value_pb(value)
for (key, value) in PARAMS.items()
})
self.assertEqual(params, expected_params)
self.assertEqual(param_types, PARAM_TYPES)
self.assertEqual(query_mode, MODE)
self.assertEqual(resume_token, b'')
self.assertEqual(options.kwargs['metadata'],
[('google-cloud-resource-prefix', database.name)])
def _read_helper(self, multi_use, first=True, count=0):
from google.protobuf.struct_pb2 import Struct
from google.cloud.proto.spanner.v1.result_set_pb2 import (
PartialResultSet, ResultSetMetadata, ResultSetStats)
from google.cloud.proto.spanner.v1.transaction_pb2 import (
TransactionSelector)
from google.cloud.proto.spanner.v1.type_pb2 import Type, StructType
from google.cloud.proto.spanner.v1.type_pb2 import STRING, INT64
from google.cloud.spanner.keyset import KeySet
from google.cloud.spanner._helpers import _make_value_pb
TXN_ID = b'DEADBEEF'
VALUES = [
[u'bharney', 31],
[u'phred', 32],
]
VALUE_PBS = [[_make_value_pb(item) for item in row] for row in VALUES]
struct_type_pb = StructType(fields=[
StructType.Field(name='name', type=Type(code=STRING)),
StructType.Field(name='age', type=Type(code=INT64)),
])
metadata_pb = ResultSetMetadata(row_type=struct_type_pb)
stats_pb = ResultSetStats(query_stats=Struct(
fields={
'rows_returned': _make_value_pb(2),
}))
result_sets = [
PartialResultSet(values=VALUE_PBS[0], metadata=metadata_pb),
PartialResultSet(values=VALUE_PBS[1], stats=stats_pb),
]
KEYS = ['*****@*****.**', '*****@*****.**']
KEYSET = KeySet(keys=KEYS)
INDEX = 'email-address-index'
LIMIT = 20
TOKEN = b'DEADBEEF'
database = _Database()
api = database.spanner_api = _FauxSpannerAPI(
_streaming_read_response=_MockIterator(*result_sets))
session = _Session(database)
derived = self._makeDerived(session)
derived._multi_use = multi_use
derived._read_request_count = count
if not first:
derived._transaction_id = TXN_ID
result_set = derived.read(TABLE_NAME,
COLUMNS,
KEYSET,
index=INDEX,
limit=LIMIT)
self.assertEqual(derived._read_request_count, count + 1)
if multi_use:
self.assertIs(result_set._source, derived)
else:
self.assertIsNone(result_set._source)
result_set.consume_all()
self.assertEqual(list(result_set.rows), VALUES)
self.assertEqual(result_set.metadata, metadata_pb)
self.assertEqual(result_set.stats, stats_pb)
(r_session, table, columns, key_set, transaction, index, limit,
resume_token, options) = api._streaming_read_with
self.assertEqual(r_session, self.SESSION_NAME)
self.assertEqual(table, TABLE_NAME)
self.assertEqual(columns, COLUMNS)
self.assertEqual(key_set, KEYSET.to_pb())
self.assertIsInstance(transaction, TransactionSelector)
if multi_use:
if first:
self.assertTrue(transaction.begin.read_only.strong)
else:
self.assertEqual(transaction.id, TXN_ID)
else:
self.assertTrue(transaction.single_use.read_only.strong)
self.assertEqual(index, INDEX)
self.assertEqual(limit, LIMIT)
self.assertEqual(resume_token, b'')
self.assertEqual(options.kwargs['metadata'],
[('google-cloud-resource-prefix', database.name)])
def _makeScalarField(name, type_):
from google.cloud.proto.spanner.v1.type_pb2 import StructType
from google.cloud.proto.spanner.v1.type_pb2 import Type
return StructType.Field(name=name, type=Type(code=type_))