Establish a connection to an EdgeDB server.
dsn
– If this parameter does not start with edgedb://
then this is
a name of an instance.Otherwise it specifies a single string in the connection URI format:
edgedb://user:password@host:port/database?option=value
.
The following options are recognized: host, port,
user, database, password.
host
– Database host address as one of the following:
EDGEDB_HOST
environment variable,"/run/edgedb"
and "/var/run/edgedb"
,"localhost"
.port
– Port number to connect to at the server host
(or Unix-domain socket file extension). If multiple host
addresses were specified, this parameter may specify a
sequence of port numbers of the same length as the host sequence,
or it may specify a single port number to be used for all host
addresses.If not specified, the value parsed from the dsn argument is used,
or the value of the EDGEB_PORT
environment variable, or 5656
if neither is specified.
admin
– If True
, try to connect to the special administration socket.
user
– The name of the database role used for authentication.If not specified, the value parsed from the dsn argument is used,
or the value of the EDGEDB_USER
environment variable, or the
operating system name of the user running the application.
database
– The name of the database to connect to.If not specified, the value parsed from the dsn argument is used,
or the value of the EDGEDB_DATABASE
environment variable, or the
operating system name of the user running the application.
password
– Password to be used for authentication, if the server requires
one. If not specified, the value parsed from the dsn argument
is used, or the value of the EDGEDB_PASSWORD
environment variable.
Note that the use of the environment variable is discouraged as
other users and applications may be able to read it without needing
specific privileges.
timeout
(float
) – Connection timeout in seconds.
A BlockingIOConnection
instance.
The connection parameters may be specified either as a connection URI in dsn, or as specific keyword arguments, or both. If both dsn and keyword arguments are specified, the latter override the corresponding values parsed from the connection URI.
Returns a new BlockingIOConnection
object.
Example:
>>>
import edgedb
>>>
con = edgedb.connect(user='edgedeb')
>>>
con.query_one('SELECT 1 + 1')
{2}
A representation of a database session.
Connections are created by calling connect()
.
Run a query and return the results as a
edgedb.Set
instance.
query
(str
) – Query text.
args
– Positional query arguments.
kwargs
– Named query arguments.
An instance of edgedb.Set
containing
the query result.
Note that positional and named query arguments cannot be mixed.
Run a singleton-returning query and return its element.
query
(str
) – Query text.
args
– Positional query arguments.
kwargs
– Named query arguments.
Query result.
The query must return exactly one element. If the query returns
more than one element, an edgedb.ResultCardinalityMismatchError
is raised, if it returns an empty set, an edgedb.NoDataError
is raised.
Note, that positional and named query arguments cannot be mixed.
Run a query and return the results as JSON.
query
(str
) – Query text.
args
– Positional query arguments.
kwargs
– Named query arguments.
A JSON string containing an array of query results.
Note, that positional and named query arguments cannot be mixed.
Caution is advised when reading decimal
values using
this method. The JSON specification does not have a limit
on significant digits, so a decimal
number can be
losslessly represented in JSON. However, the default JSON
decoder in Python will read all such numbers as float
values, which may result in errors or precision loss. If
such loss is unacceptable, then consider casting the value
into str
and decoding it on the client side into a
more appropriate type, such as Decimal
.
Run a singleton-returning query and return its element in JSON.
query
(str
) – Query text.
args
– Positional query arguments.
kwargs
– Named query arguments.
Query result encoded in JSON.
The query must return exactly one element. If the query returns
more than one element, an edgedb.ResultCardinalityMismatchError
is raised, if it returns an empty set, an edgedb.NoDataError
is raised.
Note, that positional and named query arguments cannot be mixed.
Caution is advised when reading decimal
values using
this method. The JSON specification does not have a limit
on significant digits, so a decimal
number can be
losslessly represented in JSON. However, the default JSON
decoder in Python will read all such numbers as float
values, which may result in errors or precision loss. If
such loss is unacceptable, then consider casting the value
into str
and decoding it on the client side into a
more appropriate type, such as Decimal
.
Execute an EdgeQL command (or commands).
query
(str
) – Query text.
The commands must take no arguments.
Example:
>>> ... ... ... ... ... ...
con.execute('''
CREATE TYPE MyType {
CREATE PROPERTY a -> int64
};
FOR x IN {100, 200, 300}
UNION INSERT MyType { a := x };
''')
If the results of query are desired, query()
or
query_one()
should be used instead.
Open a retryable transaction loop.
This is the preferred method of initiating and running a database
transaction in a robust fashion. The retrying_transaction()
transaction loop will attempt to re-execute the transaction loop body
if a transient error occurs, such as a network error or a transaction
serialization error.
Returns an instance of Retry
.
See Transactions for more details.
Example:
for tx in con.retrying_transaction():
with tx:
value = tx.query_one("SELECT Counter.value")
tx.execute(
"UPDATE Counter SET { value := <int64>$value }",
value=value + 1,
)
Note that we are executing queries on the tx
object rather
than on the original connection.
Execute a non-retryable transaction.
Contrary to retrying_transaction()
, raw_transaction()
will not attempt to re-run the nested code block in case a retryable
error happens.
This is a low-level API and it is advised to use the
retrying_transaction()
method instead.
A call to raw_transaction()
returns
AsyncIOTransaction
.
Example:
with con.raw_transaction() as tx:
value = tx.query_one("SELECT Counter.value")
tx.execute(
"UPDATE Counter SET { value := <int64>$value }",
value=value + 1,
)
Note that we are executing queries on the tx
object,
rather than on the original connection con
.
Deprecated. Use retrying_transaction()
or
raw_transaction()
.
Create a Transaction
object.
isolation
– Transaction isolation mode, can be one of:
'serializable'
, 'repeatable_read'
. If not specified,
the server-side default is used.
readonly
– Specifies whether or not this transaction is read-only. If not
specified, the server-side default is used.
deferrable
– Specifies whether or not this transaction is deferrable. If not
specified, the server-side default is used.
Close the connection gracefully.
Return True
if the connection is closed.
The most robust way to execute transactional code is to use the
retrying_transaction()
loop API:
for tx in pool.retrying_transaction():
with tx:
tx.execute("INSERT User { name := 'Don' }")
Note that we execute queries on the tx
object in the above
example, rather than on the original connection pool pool
object.
The retrying_transaction()
API guarantees that:
Transactions are executed atomically;
If a transaction is failed for any of the number of transient errors (i.e. a network failure or a concurrent update error), the transaction would be retried;
If any other, non-retryable exception occurs, the transaction is
rolled back, and the exception is propagated, immediately aborting the
retrying_transaction()
block.
The key implication of retrying transactions is that the entire nested code block can be re-run, including any non-querying Python code. Here is an example:
for tx in pool.retrying_transaction():
with tx:
user = tx.query_one(
"SELECT User { email } FILTER .login = <str>$login",
login=login,
)
data = httpclient.get(
'https://service.local/email_info',
params=dict(email=user.email),
)
user = tx.query_one('''
UPDATE User FILTER .login = <str>$login
SET { email_info := <json>$data}
''',
login=login,
data=data,
)
In the above example, the execution of the HTTP request would be retried too. The core of the issue is that whenever transaction is interrupted user might have the email changed (as the result of concurrent transaction), so we have to redo all the work done.
Generally it’s recommended to not execute any long running code within the transaction unless absolutely necessary.
Transactions allocate expensive server resources and having too many concurrently running long-running transactions will negatively impact the performance of the DB server.
See also:
Represents a transaction or savepoint block.
Transactions are created by calling the
BlockingIOConnection.transaction()
method.
Enter the transaction or savepoint block.
Exit the transaction or savepoint block and commit changes.
Exit the transaction or savepoint block and discard changes.
start and commit/rollback the transaction or savepoint block automatically when entering and exiting the code inside the context manager block.
Represents a wrapper that yields Transaction
object when iterating.
See BlockingIOConnection.retrying_transaction()
method for
an example.
Yields Transaction
object every time transaction has to
be repeated.