Servers managed by Fabric are registered in a MySQL Server instance, called backing store, and are organized into high availability groups which deploy some sort of redundancy to increase resilience to failures. Currently, only the traditional MySQL Asynchronous Replication is supported but we will consider other solutions in future such as MySQL Cluster, Windows Server Failover Clustering and Distributed Replicated Block Device. For a great analysis of alternatives for MySQL High Availability Solutions certified and supported by Oracle readers should check out the following white paper:
Different from a traditional MySQL Client Application, a Fabric-aware
Client Application does not specify what server it wants to connect to but the
Fabric instance from where it will fetch information on the available servers
in a group. So a fabric-aware connector is required for this task. Currently,
only the connectors PHP, Java and Python have extensions to access Fabric. In the future, we aim to add Fabric support to other connectors as we are fortunate to have a strong influence over many of the key connectors in the MySQL ecosystem.
class Application(object):
def __init__(self):
fabric_params = {
"fabric" : {"host" : "localhost", "port" : 8080},
"user" : "oracle", "passwd" : "oracle"
}
self.__cnx = MySQLFabricConnection(**fabric_params)
def start(self):
self.__cnx.set_property(group="YYZ")
cursor = self.__cnx.cursor()
cursor.execute("...")
In this sample code, written in Python, the connector sends a request to a Fabric instance located at address "localhost", port "8080" in order to retrieve information on all servers registered in the "YYZ" group and then creates a connection to the master in the group. The communication between the connector and Fabric is done through the XML-RPC protocol which has been chosen for being a "quick and easy way to make procedure calls over the Internet". However the XML-RPC protocol is not well-known for its performance, and to reduce the overhead of contacting Fabric every time a connector needs information on a group, data is stored in a local cache.
If the current master fails though, the "InterfaceError" exception is raised and the application is responsible for catching the exception and getting a new connection to a new elected master if it wants to carry on its regular operations. See a sample code in what follows:
class Application(object):
def __init__(self):
fabric_params = {
"fabric" : {"host" : "localhost", "port" : 8080},
"user" : "oracle", "passwd" : "oracle"
}
self.__cnx = MySQLFabricConnection(**fabric_params)
self.__cnx.set_property(group="YYZ")
def start(self):
while self.__run:
try:
self.__cnx.start_transaction()
cur.execute("...")
self.__cnx.commit()
except InterfaceError as error:
cur = self._get_cursor()
time.sleep(1)
def _get_cursor(self):
return self.__cnx.cursor()
Readers will find a full-fledged application, which shows how all the concepts introduced in this post are used together here
- Python 2.6 or 2.7
- Three or more MySQL Servers:
- One backing store (5.6 or later preferable)
- Two managed servers (5.6 or later necessary)
- Fabric running
- Connector Python (Fabric-aware Version) installed
python switchover_application.py --user=root --passwd="" --group="YYZ" \
--fabric-addresses="localhost:8080" \
--servers-addresses="localhost:13002 localhost:13003"
http://forums.mysql.com/list.php?144
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