- It is cluster-aware, which eliminates the need for an external load balancer.
- It is topology-aware, which is essential for geographically-distributed applications.
The Yugabyte Psycopg2 smart driver has the following load balancing features:
Uniform load balancing
In this mode, the driver makes the best effort to uniformly distribute the connections to each YugabyteDB server. For example, if a client application creates 100 connections to a YugabyteDB cluster consisting of 10 servers, then the driver creates 10 connections to each server. If the number of connections are not exactly divisible by the number of servers, then a few may have 1 less or 1 more connection than the others. This is the client view of the load, so the servers may not be well balanced if other client applications are not using the YugabyteDB Psycopg2 driver.
Topology-aware load balancing
Because YugabyteDB clusters can have servers in different regions and availability zones, the YugabyteDB JDBC driver is topology-aware. The driver uses servers that are part of a set of geo-locations specified by topology keys. This means it can be configured to create connections only on servers that are in specific regions and zones. This is beneficial for client applications that need to connect to the geographically nearest regions and availability zone for lower latency; the driver tries to uniformly load only those servers that belong to the specified regions and zone.
The Yugabyte Psycopg2 driver can be configured with pooling as well.
Learn how to establish a connection to YugabyteDB database and begin CRUD operations using the steps in Build an Application.
Download the driver dependency
The YugabyteDB Psycopg2 requires PostgreSQL version 11 or above (preferably 14).
If prerequisites are met, you can install psycopg2-yugabytedb like any other Python package, using pip to download it from PyPI:
$ pip install psycopg2-yugabytedb
Or, you can use the setup.py script if you've downloaded the source package locally:
$ python setup.py build $ sudo python setup.py install
Learn how to perform the common tasks required for Python application development using the YugabyteDB psycopg2 smart driver.
Load balancing connection properties
The following connection properties need to be added to enable load balancing:
- load_balance - enable cluster-aware load balancing by setting this property to
true; disabled by default.
- topology_keys - provide comma-separated geo-location values to enable topology-aware load balancing. Geo-locations can be provided as
Use the driver
To use the driver, pass new connection properties for load balancing in the connection string or in the dictionary.
To enable uniform load balancing across all servers, you set the
load-balance property to
true in the Connection string or dictionary, as per the following examples:
conn = psycopg2.connect("dbname=database_name host=hostname port=port user=username password=password load_balance=true")
conn = psycopg2.connect(user = 'username', password='xxx', host = 'hostname', port = 'port', dbname = 'database_name', load_balance='True')
To specify topology keys, you set the
topology_keys property to comma-separated values in the Connection string or dictionary, as per the following examples:
conn = psycopg2.connect("dbname=database_name host=hostname port=port user=username password=password load_balance=true topology_keys=cloud1.region1.zone1,cloud2.region2.zone2")
conn = psycopg2.connect(user = 'username', password='xxx', host = 'hostname', port = 'port', dbname = 'database_name', load_balance='True', topology_keys='cloud1.region1.zone1,cloud2.region2.zone2')
To configure a SimpleConnectionPool, specify load balance as follows:
yb_pool = psycopg2.pool.SimpleConnectionPool(1, 10, user="yugabyte", password="yugabyte", host="127.0.0.1", port="5433", database="yugabyte", load_balance="True") conn = yb_pool.getconn()
Try it out
This tutorial shows how to use the Yugabyte Psycopg2 driver with YugabyteDB. It starts by creating a 3 node cluster with a replication factor of 3. This tutorial uses the yb-ctl utility.
Next, you use Python shell terminal to demonstrate the driver's load balancing features by running a few python scripts.
NoteThe driver requires YugabyteDB version 184.108.40.206 or higher
Install YugabyteDB and create a local cluster
Create a universe with a 3-node RF-3 cluster with some fictitious geo-locations assigned. The placement values used are just tokens and have nothing to do with actual AWS cloud regions and zones.
$ cd <path-to-yugabytedb-installation> ./bin/yb-ctl create --rf 3 --placement_info "aws.us-west.us-west-2a,aws.us-west.us-west-2a,aws.us-west.us-west-2b"
Check uniform load balancing
Log into your Python terminal and run the following script:
import psycopg2 conns =  for i in range(30): conn = psycopg2.connect(user = 'username', password='xxx', host = 'hostname', port = 'port', dbname = 'database_name', load_balance='True') conns.append(conn)
The application creates 30 connections. To verify the behavior, wait for the app to create connections and then visit
http://<host>:13000/rpcz from your browser for each node to see that the connections are equally distributed among the nodes. This URL presents a list of connections where each element of the list has some information about the connection as shown in the following screenshot. You can count the number of connections from that list, or search for the occurrence count of the
host keyword on that webpage. Each node should have 10 connections.
You can also verify the number of connections by running the following script in the same terminal:
from psycopg2.policies import ClusterAwareLoadBalancer as lb obj = lb() obj.printHostToConnMap()
This displays a key value pair map where the keys are the host and the values are the number of connections on them (This is the client side perspective of the number of connections).
Check topology-aware load balancing using yb-sample-apps
Run the following script in your new Python terminal with the
topology_keys property set to
aws.us-west.us-west-2a; only two nodes will be used in this case.
import psycopg2 conns =  for i in range(30): conn = psycopg2.connect(user = 'username', password='xxx', host = 'hostname', port = 'port', dbname = 'database_name', load_balance='True', topology_keys='aws.us-west.us-west-2a') conns.append(conn)
To verify the behavior, wait for the app to create connections and then navigate to
http://<host>:13000/rpcz. The first two nodes should have 15 connections each, and the third node should have zero connections. You can also verify this by running the previous verify script in the same terminal.
When you're done experimenting, run the following command to destroy the local cluster:
To learn more about the driver, refer to the architecture documentation.