本文整理汇总了Python中sqlalchemy.types.TIMESTAMP属性的典型用法代码示例。如果您正苦于以下问题:Python types.TIMESTAMP属性的具体用法?Python types.TIMESTAMP怎么用?Python types.TIMESTAMP使用的例子?那么, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类sqlalchemy.types
的用法示例。
在下文中一共展示了types.TIMESTAMP属性的11个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: initialize
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIMESTAMP [as 别名]
def initialize(self, connection):
super(FBDialect, self).initialize(connection)
self._version_two = (
"firebird" in self.server_version_info
and self.server_version_info >= (2,)
) or (
"interbase" in self.server_version_info
and self.server_version_info >= (6,)
)
if not self._version_two:
# TODO: whatever other pre < 2.0 stuff goes here
self.ischema_names = ischema_names.copy()
self.ischema_names["TIMESTAMP"] = sqltypes.DATE
self.colspecs = {sqltypes.DateTime: sqltypes.DATE}
self.implicit_returning = self._version_two and self.__dict__.get(
"implicit_returning", True
)
示例2: get_columns
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIMESTAMP [as 别名]
def get_columns(self, connection, table_name, schema=None, **kw):
# Extend types supported by PrestoDialect as defined in PyHive
type_map = {
'bigint': sql_types.BigInteger,
'integer': sql_types.Integer,
'boolean': sql_types.Boolean,
'double': sql_types.Float,
'varchar': sql_types.String,
'timestamp': sql_types.TIMESTAMP,
'date': sql_types.DATE,
'array<bigint>': sql_types.ARRAY(sql_types.Integer),
'array<varchar>': sql_types.ARRAY(sql_types.String)
}
rows = self._get_table_columns(connection, table_name, schema)
result = []
for row in rows:
try:
coltype = type_map[row.Type]
except KeyError:
logger.warn("Did not recognize type '%s' of column '%s'" % (row.Type, row.Column))
coltype = sql_types.NullType
result.append({
'name': row.Column,
'type': coltype,
# newer Presto no longer includes this column
'nullable': getattr(row, 'Null', True),
'default': None,
})
return result
示例3: test_reflect_select
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIMESTAMP [as 别名]
def test_reflect_select(table, table_using_test_dataset):
for table in [table, table_using_test_dataset]:
assert len(table.c) == 18
assert isinstance(table.c.integer, Column)
assert isinstance(table.c.integer.type, types.Integer)
assert isinstance(table.c.timestamp.type, types.TIMESTAMP)
assert isinstance(table.c.string.type, types.String)
assert isinstance(table.c.float.type, types.Float)
assert isinstance(table.c.boolean.type, types.Boolean)
assert isinstance(table.c.date.type, types.DATE)
assert isinstance(table.c.datetime.type, types.DATETIME)
assert isinstance(table.c.time.type, types.TIME)
assert isinstance(table.c.bytes.type, types.BINARY)
assert isinstance(table.c['record.age'].type, types.Integer)
assert isinstance(table.c['record.name'].type, types.String)
assert isinstance(table.c['nested_record.record.age'].type, types.Integer)
assert isinstance(table.c['nested_record.record.name'].type, types.String)
assert isinstance(table.c.array.type, types.ARRAY)
rows = table.select().execute().fetchall()
assert len(rows) == 1000
示例4: __init__
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIMESTAMP [as 别名]
def __init__(self, *args, **kwargs):
super(TimeStamp, self).__init__(*args, **kwargs)
self.sqlalchemy_type = types.TIMESTAMP(timezone=True)
示例5: sqltype_to_stdtype
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIMESTAMP [as 别名]
def sqltype_to_stdtype(sqltype):
import sqlalchemy.types as sqltypes
if isinstance(sqltype, (sqltypes.VARCHAR, sqltypes.CHAR, sqltypes.TEXT, sqltypes.Enum, sqltypes.String)):
return _STRING_TYPE
if isinstance(sqltype, (sqltypes.DATETIME, sqltypes.DATE, sqltypes.TIME, sqltypes.TIMESTAMP)):
return _DATE_TYPE
if isinstance(sqltype, (sqltypes.INTEGER, sqltypes.BIGINT, sqltypes.SMALLINT, sqltypes.Integer)):
return _INTEGER_TYPE
if isinstance(sqltype, (sqltypes.REAL, sqltypes.DECIMAL, sqltypes.NUMERIC, sqltypes.FLOAT)):
return _DECIMAL_TYPE
if isinstance(sqltype, sqltypes.BOOLEAN):
return _BOOLEAN_TYPE
示例6: stdtype_to_sqltype
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIMESTAMP [as 别名]
def stdtype_to_sqltype(stdtype):
import sqlalchemy.types as sqltypes
if isinstance(stdtype, stdtypes.StringType):
return sqltypes.VARCHAR(length=stdtype.max_len) if 0 < stdtype.max_len < 65536 else sqltypes.TEXT()
if isinstance(stdtype, stdtypes.BoolType):
return sqltypes.BOOLEAN()
if isinstance(stdtype, stdtypes.DateType):
return sqltypes.DATE() if stdtype.only_date else sqltypes.TIMESTAMP()
if isinstance(stdtype, stdtypes.IntegerType):
return sqltypes.BIGINT() if stdtype.length > 11 else sqltypes.INTEGER()
if isinstance(stdtype, stdtypes.DecimalType):
return sqltypes.DECIMAL()
if isinstance(stdtype, stdtypes.ArrayType):
return sqltypes.ARRAY(item_type=stdtype.item_type)
示例7: test_timestamp
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIMESTAMP [as 别名]
def test_timestamp(self):
types = [
'timestamp',
'timestamptz',
'timestamp with time zone',
'timestamp without time zone',
]
for t in types:
self._test(t, sqltypes.TIMESTAMP)
示例8: test_native_datetime
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIMESTAMP [as 别名]
def test_native_datetime(self):
dbapi = testing.db.dialect.dbapi
connect_args = {
"detect_types": dbapi.PARSE_DECLTYPES | dbapi.PARSE_COLNAMES
}
engine = engines.testing_engine(
options={"connect_args": connect_args, "native_datetime": True}
)
t = Table(
"datetest",
MetaData(),
Column("id", Integer, primary_key=True),
Column("d1", Date),
Column("d2", sqltypes.TIMESTAMP),
)
t.create(engine)
try:
with engine.begin() as conn:
conn.execute(
t.insert(),
{
"d1": datetime.date(2010, 5, 10),
"d2": datetime.datetime(2010, 5, 10, 12, 15, 25),
},
)
row = conn.execute(t.select()).first()
eq_(
row,
(
1,
datetime.date(2010, 5, 10),
datetime.datetime(2010, 5, 10, 12, 15, 25),
),
)
r = conn.execute(func.current_date()).scalar()
assert isinstance(r, util.string_types)
finally:
t.drop(engine)
engine.dispose()
示例9: test_date_coercion
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIMESTAMP [as 别名]
def test_date_coercion(self):
expr = column("bar", types.NULLTYPE) - column("foo", types.TIMESTAMP)
eq_(expr.type._type_affinity, types.NullType)
expr = func.sysdate() - column("foo", types.TIMESTAMP)
eq_(expr.type._type_affinity, types.Interval)
expr = func.current_date() - column("foo", types.TIMESTAMP)
eq_(expr.type._type_affinity, types.Interval)
示例10: test_create_table
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIMESTAMP [as 别名]
def test_create_table(engine):
meta = MetaData()
table = Table(
'test_pybigquery.test_table_create', meta,
Column('integer_c', sqlalchemy.Integer, doc="column description"),
Column('float_c', sqlalchemy.Float),
Column('decimal_c', sqlalchemy.DECIMAL),
Column('string_c', sqlalchemy.String),
Column('text_c', sqlalchemy.Text),
Column('boolean_c', sqlalchemy.Boolean),
Column('timestamp_c', sqlalchemy.TIMESTAMP),
Column('datetime_c', sqlalchemy.DATETIME),
Column('date_c', sqlalchemy.DATE),
Column('time_c', sqlalchemy.TIME),
Column('binary_c', sqlalchemy.BINARY),
bigquery_description="test table description",
bigquery_friendly_name="test table name"
)
meta.create_all(engine)
meta.drop_all(engine)
# Test creating tables with declarative_base
Base = declarative_base()
class TableTest(Base):
__tablename__ = 'test_pybigquery.test_table_create2'
integer_c = Column(sqlalchemy.Integer, primary_key=True)
float_c = Column(sqlalchemy.Float)
Base.metadata.create_all(engine)
Base.metadata.drop_all(engine)
示例11: _fixed_lookup_fixture
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIMESTAMP [as 别名]
def _fixed_lookup_fixture(self):
return [
(sqltypes.String(), sqltypes.VARCHAR()),
(sqltypes.String(1), sqltypes.VARCHAR(1)),
(sqltypes.String(3), sqltypes.VARCHAR(3)),
(sqltypes.Text(), sqltypes.TEXT()),
(sqltypes.Unicode(), sqltypes.VARCHAR()),
(sqltypes.Unicode(1), sqltypes.VARCHAR(1)),
(sqltypes.UnicodeText(), sqltypes.TEXT()),
(sqltypes.CHAR(3), sqltypes.CHAR(3)),
(sqltypes.NUMERIC, sqltypes.NUMERIC()),
(sqltypes.NUMERIC(10, 2), sqltypes.NUMERIC(10, 2)),
(sqltypes.Numeric, sqltypes.NUMERIC()),
(sqltypes.Numeric(10, 2), sqltypes.NUMERIC(10, 2)),
(sqltypes.DECIMAL, sqltypes.DECIMAL()),
(sqltypes.DECIMAL(10, 2), sqltypes.DECIMAL(10, 2)),
(sqltypes.INTEGER, sqltypes.INTEGER()),
(sqltypes.BIGINT, sqltypes.BIGINT()),
(sqltypes.Float, sqltypes.FLOAT()),
(sqltypes.TIMESTAMP, sqltypes.TIMESTAMP()),
(sqltypes.DATETIME, sqltypes.DATETIME()),
(sqltypes.DateTime, sqltypes.DATETIME()),
(sqltypes.DateTime(), sqltypes.DATETIME()),
(sqltypes.DATE, sqltypes.DATE()),
(sqltypes.Date, sqltypes.DATE()),
(sqltypes.TIME, sqltypes.TIME()),
(sqltypes.Time, sqltypes.TIME()),
(sqltypes.BOOLEAN, sqltypes.BOOLEAN()),
(sqltypes.Boolean, sqltypes.BOOLEAN()),
(
sqlite.DATE(storage_format="%(year)04d%(month)02d%(day)02d"),
sqltypes.DATE(),
),
(
sqlite.TIME(
storage_format="%(hour)02d%(minute)02d%(second)02d"
),
sqltypes.TIME(),
),
(
sqlite.DATETIME(
storage_format="%(year)04d%(month)02d%(day)02d"
"%(hour)02d%(minute)02d%(second)02d"
),
sqltypes.DATETIME(),
),
]