Join us on YugabyteDB Community Slack
Star us on
Get Started
Slack
GitHub
Get Started
v2.13 (preview) v2.12 (stable) v2.8 (earlier version) v2.6 (earlier version) v2.4 (earlier version) Unsupported versions
  • YUGABYTEDB CORE
    • Quick start
      • 1. Install YugabyteDB
      • 2. Create a local cluster
      • 3. Explore distributed SQL
      • 4. Build an application
        • Java
        • Node.js
        • Go
        • Python
        • Ruby
        • C#
        • PHP
        • C++
        • C
        • Scala
        • Rust
    • Explore
      • SQL features
        • SQL Feature Support
        • PostgreSQL Compatibility
        • Foreign Data Wrappers
        • Schemas and Tables
        • Data Types
        • Data Manipulation
        • Queries and Joins
        • Expressions and Operators
        • Stored Procedures
        • Triggers
        • Advanced features
          • Cursors
          • Table Partitioning
          • Views
          • Savepoints
          • Collations
        • Going beyond SQL
          • Follower reads
          • Tablespaces
        • PostgreSQL extensions
      • Fault tolerance
      • Horizontal scalability
        • Scaling Transactions
        • Sharding Data
      • Transactions
        • Distributed Transactions
        • Isolation Levels
        • Explicit Locking
      • Indexes and Constraints
        • Primary keys
        • Foreign keys
        • Secondary indexes
        • Unique indexes
        • Partial indexes
        • Expression indexes
        • Covering indexes
        • GIN indexes
        • Other constraints
      • JSON support
      • Multi-region deployments
        • Sync replication (3+ regions)
        • Async Replication (2+ regions)
        • Row-Level Geo-Partitioning
        • Read replicas
      • Query tuning
        • Introduction
        • Get query statistics using pg_stat_statements
        • Viewing live queries with pg_stat_activity
        • Analyzing queries with EXPLAIN
        • Optimizing YSQL queries using pg_hint_plan
      • Cluster management
        • Point-in-time recovery
      • Change data capture (CDC)
        • Debezium connector
        • Java CDC console
      • Security
      • Observability
        • Prometheus Integration
        • Grafana Dashboard
    • Drivers and ORMs
      • Java
        • JDBC drivers
        • Hibernate ORM
        • Supported versions
      • Go
        • Go drivers
        • Go ORMs
        • Supported versions
      • C#
        • C# drivers
        • C# ORMs
        • Supported versions
      • NodeJS
        • NodeJS drivers
        • NodeJS ORMs
        • Supported Versions
      • Python
        • Python drivers
        • Python ORMs
        • Supported versions
      • Rust
        • Diesel ORM
    • Develop
      • Learn app development
        • 1. SQL vs NoSQL
        • 2. Data modeling
        • 3. Data types
        • 4. ACID transactions
        • 5. Aggregations
        • 6. Batch operations
        • 7. Date and time
        • 8. Strings and text
        • 9. TTL for data expiration
      • Real-world examples
        • E-Commerce app
        • IoT fleet management
      • Explore sample apps
      • Best practices
      • Cloud-native development
        • Codespaces
        • Gitpod
    • Migrate
      • Migration process overview
      • Migrate from PostgreSQL
        • Convert a PostgreSQL schema
        • Migrate a PostgreSQL application
        • Export PostgreSQL data
        • Prepare a cluster
        • Import PostgreSQL data
        • Verify Migration
    • Deploy
      • Deployment checklist
      • Manual deployment
        • 1. System configuration
        • 2. Install software
        • 3. Start YB-Masters
        • 4. Start YB-TServers
        • 5. Verify deployment
      • Kubernetes
        • Single-zone
          • Open Source
          • Amazon EKS
          • Google Kubernetes Engine
          • Azure Kubernetes Service
        • Multi-zone
          • Amazon EKS
          • Google Kubernetes Engine
        • Multi-cluster
          • Google Kubernetes Engine
        • Best practices
        • Connect Clients
      • Docker
      • Public clouds
        • Amazon Web Services
        • Google Cloud Platform
        • Microsoft Azure
      • Multi-DC deployments
        • Three+ data center (3DC)
        • Asynchronous Replication
        • Read replica clusters
    • Benchmark
      • TPC-C
      • sysbench
      • YCSB
      • Key-value workload
      • Large datasets
      • Scalability
        • Scaling queries
      • Resilience
        • Jepsen testing
      • Performance Troubleshooting
    • Secure
      • Security checklist
      • Enable authentication
        • Enable users
        • Configure client authentication
      • Authentication methods
        • Password authentication
        • LDAP authentication
        • Host-based authentication
        • Trust authentication
      • Role-based access control
        • Overview
        • Manage users and roles
        • Grant privileges
        • Row-level security
        • Column-level security
      • Encryption in transit
        • Create server certificates
        • Enable server-to-server encryption
        • Enable client-to-server encryption
        • Connect to clusters
        • TLS and authentication
      • Encryption at rest
      • Column-level encryption
      • Audit logging
        • Configure audit logging
        • Session-Level Audit Logging
        • Object-Level Audit Logging
      • Vulnerability disclosure policy
    • Manage
      • Back up and restore
        • Export and import data
        • Snapshot and restore data
        • Point-in-time recovery
      • Migrate data
        • Bulk import
        • Bulk export
      • Change cluster configuration
      • Diagnostics reporting
      • Upgrade a deployment
      • Grow cluster
    • Troubleshoot
      • Troubleshooting
      • Cluster level issues
        • YCQL connection issues
        • YEDIS connection Issues
        • Recover tserver/master
        • Replace a failed YB-TServer
        • Replace a failed YB-Master
        • Manual remote bootstrap when a majority of peers fail
      • Node level issues
        • Check servers
        • Inspect logs
        • System statistics
        • Disk failure
        • Common error messages
    • Contribute
      • Core database
        • Contribution checklist
        • Build the source
        • Configure a CLion project
        • Run the tests
        • Coding style
      • Documentation
        • Docs checklist
        • Docs layout
        • Build the docs
          • Editor setup
        • Edit the docs
          • Docs page structure
          • Syntax diagrams
        • Style guide
  • YUGABYTEDB ANYWHERE
    • Overview
      • Install
      • Configure
    • Install
      • Prerequisites
      • Prepare the environment
      • Install software
      • Prepare nodes
      • Uninstall software
    • Configure
      • Create admin user
      • Configure cloud providers
      • Configure backup target
      • Configure alerts
    • Create deployments
      • Multi-zone universe
      • Multi-region universe
      • Multi-cloud universe
      • Read replica cluster
      • Asynchronous replication
    • Manage deployments
      • Start and stop processes
      • Eliminate an unresponsive node
      • Recover a node
      • Enable high availability
      • Edit configuration flags
      • Edit a universe
      • Delete a universe
      • Configure instance tags
      • Upgrade YugabyteDB
      • Migrate to Helm 3
    • Back up universes
      • Configure backup storage
      • Back up universe data
      • Restore universe data
      • Schedule data backups
    • Security
      • Security checklist
      • Configure ports
      • LDAP authentication
      • Authorization
      • Create a KMS configuration
      • Enable encryption at rest
      • Enable encryption in transit
      • Network security
    • Alerts and monitoring
      • Alerts
      • Live Queries dashboard
      • Slow Queries dashboard
    • Troubleshoot
      • Install and upgrade issues
      • Universe issues
    • Administer
      • Back up YugabyteDB Anywhere
      • Authenticate with LDAP
    • Upgrade
      • Upgrade Kubernetes installation
      • Upgrade using Replicated
  • YUGABYTEDB MANAGED
    • Overview
    • Quick start
      • Create a free cluster
      • Connect to the cluster
      • Explore distributed SQL
      • Build an application
        • Before you begin
        • Java
        • Go
        • Python
        • Node.js
        • C
        • C++
        • C#
        • Ruby
        • Rust
        • PHP
    • Deploy clusters
      • Planning a cluster
      • Create a free cluster
      • Create a standard cluster
      • VPC network
        • Overview
        • VPCs
        • Peering connections
        • Create a VPC Network
    • Secure clusters
      • IP allow lists
      • Database authorization
      • Add database users
      • Encryption in transit
      • Audit account activity
    • Connect to clusters
      • Cloud Shell
      • Client shell
      • Connect applications
    • Alerts and monitoring
      • Alerts
      • Performance metrics
      • Live queries
      • Slow YSQL queries
      • Cluster activity
    • Manage clusters
      • Scale and configure clusters
      • Backup and restore
      • Maintenance windows
      • Create extensions
    • Administration and billing
      • Manage account access
      • Manage billing
      • Cluster costs
    • Example applications
      • Connect a Spring application
      • Connect a YCQL Java application
      • Hasura Cloud
      • Deploy a GraphQL application
    • Security architecture
      • Security architecture
      • Shared responsibility model
    • Troubleshoot
    • YugabyteDB Managed FAQ
    • What's new
  • INTEGRATIONS
    • Apache Kafka
    • Apache Spark
    • Debezium
    • Django REST framework
    • Entity Framework
    • Flyway
    • GORM
    • Hasura
      • Application Development
      • Benchmarking
    • JanusGraph
    • KairosDB
    • Liquibase
    • Metabase
    • Presto
    • Prisma
    • Sequelize
    • Spring Framework
      • Spring Data YugabyteDB
      • Spring Data JPA
      • Spring Data Cassandra
    • SQLAlchemy
    • WSO2 Identity Server
    • YSQL Loader
    • YugabyteDB JDBC driver
  • REFERENCE
    • Architecture
      • Design goals
      • Key concepts
        • Universe
        • YB-TServer Service
        • YB-Master Service
      • Core functions
        • Universe creation
        • Table creation
        • Write IO path
        • Read IO path
        • High availability
      • Layered architecture
      • Query layer
        • Overview
      • DocDB transactions layer
        • Transactions overview
        • Transaction isolation levels
        • Explicit locking
        • Read Committed
        • Single-row transactions
        • Distributed transactions
        • Transactional IO path
      • DocDB sharding layer
        • Hash & range sharding
        • Tablet splitting
        • Colocated tables
      • DocDB replication layer
        • Replication
        • xCluster replication
        • Read replicas
        • Change data capture (CDC)
      • DocDB storage layer
        • Persistence
        • Performance
    • APIs
      • YSQL
        • The SQL language
          • SQL statements
            • ABORT
            • ALTER DATABASE
            • ALTER DEFAULT PRIVILEGES
            • ALTER DOMAIN
            • ALTER FOREIGN DATA WRAPPER
            • ALTER FOREIGN TABLE
            • ALTER GROUP
            • ALTER POLICY
            • ALTER ROLE
            • ALTER SEQUENCE
            • ALTER SERVER
            • ALTER TABLE
            • ALTER USER
            • ANALYZE
            • BEGIN
            • CALL
            • COMMENT
            • COMMIT
            • COPY
            • CREATE AGGREGATE
            • CREATE CAST
            • CREATE DATABASE
            • CREATE DOMAIN
            • CREATE EXTENSION
            • CREATE FOREIGN DATA WRAPPER
            • CREATE FOREIGN TABLE
            • CREATE FUNCTION
            • CREATE GROUP
            • CREATE INDEX
            • CREATE MATERIALIZED VIEW
            • CREATE OPERATOR
            • CREATE OPERATOR CLASS
            • CREATE POLICY
            • CREATE PROCEDURE
            • CREATE ROLE
            • CREATE RULE
            • CREATE SCHEMA
            • CREATE SEQUENCE
            • CREATE SERVER
            • CREATE TABLE
            • CREATE TABLE AS
            • CREATE TRIGGER
            • CREATE TYPE
            • CREATE USER
            • CREATE USER MAPPING
            • CREATE VIEW
            • DEALLOCATE
            • DELETE
            • DO
            • DROP AGGREGATE
            • DROP CAST
            • DROP DATABASE
            • DROP DOMAIN
            • DROP EXTENSION
            • DROP FOREIGN DATA WRAPPER
            • DROP FOREIGN TABLE
            • DROP FUNCTION
            • DROP GROUP
            • DROP MATERIALIZED VIEW
            • DROP OPERATOR
            • DROP OPERATOR CLASS
            • DROP OWNED
            • DROP POLICY
            • DROP PROCEDURE
            • DROP ROLE
            • DROP RULE
            • DROP SEQUENCE
            • DROP SERVER
            • DROP TABLE
            • DROP TRIGGER
            • DROP TYPE
            • DROP USER
            • END
            • EXECUTE
            • EXPLAIN
            • GRANT
            • IMPORT FOREIGN SCHEMA
            • INSERT
            • LOCK
            • PREPARE
            • REASSIGN OWNED
            • REFRESH MATERIALIZED VIEW
            • RELEASE SAVEPOINT
            • RESET
            • REVOKE
            • ROLLBACK
            • ROLLBACK TO SAVEPOINT
            • SAVEPOINT
            • SELECT
            • SET
            • SET CONSTRAINTS
            • SET ROLE
            • SET SESSION AUTHORIZATION
            • SET TRANSACTION
            • SHOW
            • SHOW TRANSACTION
            • TRUNCATE
            • UPDATE
            • VALUES
          • WITH clause
            • WITH clause—SQL syntax and semantics
            • recursive CTE
            • case study—traversing an employee hierarchy
            • traversing general graphs
              • graph representation
              • common code
              • undirected cyclic graph
              • directed cyclic graph
              • directed acyclic graph
              • rooted tree
              • Unique containing paths
              • Stress testing find_paths()
            • case study—Bacon Numbers from IMDb
              • Bacon numbers for synthetic data
              • Bacon numbers for IMDb data
        • Data types
          • Array
            • array[] constructor
            • Literals
              • Text typecasting and literals
              • Array of primitive values
              • Row
              • Array of rows
            • FOREACH loop (PL/pgSQL)
            • array of DOMAINs
            • Functions and operators
              • ANY and ALL
              • Array comparison
              • Array slice operator
              • Array concatenation
              • Array properties
              • array_agg(), unnest(), generate_subscripts()
              • array_fill()
              • array_position(), array_positions()
              • array_remove()
              • array_replace() / set value
              • array_to_string()
              • string_to_array()
          • Binary
          • Boolean
          • Character
          • Date and time
            • Conceptual background
            • Timezones and UTC offsets
              • Catalog views
              • Extended_timezone_names
                • Unrestricted full projection
                • Real timezones with DST
                • Real timezones no DST
                • Synthetic timezones no DST
              • Offset/timezone-sensitive operations
                • Timestamptz to/from timestamp conversion
                • Pure 'day' interval arithmetic
              • Four ways to specify offset
                • Name-resolution rules
                  • 1 case-insensitive resolution
                  • 2 ~names.abbrev never searched
                  • 3 'set timezone' string not resolved in ~abbrevs.abbrev
                  • 4 ~abbrevs.abbrev before ~names.name
                  • Helper functions
              • Syntax contexts for offset
              • Recommended practice
            • Typecasting between date-time and text-values
            • Semantics of the date-time data types
              • Date data type
              • Time data type
              • Plain timestamp and timestamptz
              • Interval data type
                • Interval representation
                  • Ad hoc examples
                  • Representation model
                • Interval value limits
                • Declaring intervals
                • Justify() and extract(epoch...)
                • Interval arithmetic
                  • Interval-interval comparison
                  • Interval-interval addition and subtraction
                  • Interval-number multiplication
                  • Moment-moment overloads of "-"
                  • Moment-interval overloads of "+" and "-"
                • Custom interval domains
                • Interval utility functions
            • Typecasting between date-time datatypes
            • Operators
              • Test comparison overloads
              • Test addition overloads
              • Test subtraction overloads
              • Test multiplication overloads
              • Test division overloads
            • General-purpose functions
              • Creating date-time values
              • Manipulating date-time values
              • Current date-time moment
              • Delaying execution
              • Miscellaneous
                • Function age()
                • Function extract() | date_part()
                • Implementations that model the overlaps operator
            • Formatting functions
            • Case study—SQL stopwatch
            • Download & install the date-time utilities
            • ToC
          • JSON
            • JSON literals
            • Primitive and compound data types
            • Code example conventions
            • Indexes and check constraints
            • Functions & operators
              • ::jsonb, ::json, ::text (typecast)
              • ->, ->>, #>, #>> (JSON subvalues)
              • - and #- (remove)
              • || (concatenation)
              • = (equality)
              • @> and <@ (containment)
              • ? and ?| and ?& (key or value existence)
              • array_to_json()
              • jsonb_agg()
              • jsonb_array_elements()
              • jsonb_array_elements_text()
              • jsonb_array_length()
              • jsonb_build_object()
              • jsonb_build_array()
              • jsonb_each()
              • jsonb_each_text()
              • jsonb_extract_path()
              • jsonb_extract_path_text() and json_extract_path_text()
              • jsonb_object()
              • jsonb_object_agg()
              • jsonb_object_keys()
              • jsonb_populate_record()
              • jsonb_populate_recordset()
              • jsonb_pretty()
              • jsonb_set() and jsonb_insert()
              • jsonb_strip_nulls()
              • jsonb_to_record()
              • jsonb_to_recordset()
              • jsonb_typeof()
              • row_to_json()
              • to_jsonb()
          • Money
          • Numeric
          • Range
          • Serial
          • UUID
        • Functions and operators
          • Aggregate functions
            • Informal functionality overview
            • Invocation syntax and semantics
            • grouping sets, rollup, cube
            • Per function signature and purpose
              • avg(), count(), max(), min(), sum()
              • array_agg(), string_agg(), jsonb_agg(), jsonb_object_agg()
              • bit_and(), bit_or(), bool_and(), bool_or()
              • variance(), var_pop(), var_samp(), stddev(), stddev_pop(), stddev_samp()
              • linear regression
                • covar_pop(), covar_samp(), corr()
                • regr_%()
              • mode(), percentile_disc(), percentile_cont()
              • rank(), dense_rank(), percent_rank(), cume_dist()
            • case study—percentile_cont() and the "68–95–99.7" rule
            • case study—linear regression on COVID data
              • Download the COVIDcast data
              • Ingest the COVIDcast data
                • Inspect the COVIDcast data
                • Copy the .csv files to staging tables
                • Check staged data conforms to the rules
                • Join the staged data into a single table
                • SQL scripts
                  • Create cr_staging_tables()
                  • Create cr_copy_from_scripts()
                  • Create assert_assumptions_ok()
                  • Create xform_to_covidcast_fb_survey_results()
                  • ingest-the-data.sql
              • Analyze the COVIDcast data
                • symptoms vs mask-wearing by day
                • Data for scatter-plot for 21-Oct-2020
                • Scatter-plot for 21-Oct-2020
                • SQL scripts
                  • analysis-queries.sql
                  • synthetic-data.sql
          • currval()
          • lastval()
          • nextval()
          • Window functions
            • Informal functionality overview
            • Invocation syntax and semantics
            • Per function signature and purpose
              • row_number(), rank() and dense_rank()
              • percent_rank(), cume_dist() and ntile()
              • first_value(), nth_value(), last_value()
              • lag(), lead()
              • Tables for the code examples
                • table t1
                • table t2
                • table t3
                • table t4
            • case study—analyzing a normal distribution
              • Bucket allocation scheme
              • do_clean_start.sql
              • cr_show_t4.sql
              • cr_dp_views.sql
              • cr_int_views.sql
              • cr_pr_cd_equality_report.sql
              • cr_bucket_using_width_bucket.sql
              • cr_bucket_dedicated_code.sql
              • do_assert_bucket_ok
              • cr_histogram.sql
              • cr_do_ntile.sql
              • cr_do_percent_rank.sql
              • cr_do_cume_dist.sql
              • do_populate_results.sql
              • do_report_results.sql
              • do_compare_dp_results.sql
              • do_demo.sql
              • Reports
                • Histogram report
                • dp-results
                • compare-dp-results
                • int-results
          • yb_hash_code()
        • Keywords
        • Reserved names
      • YCQL
        • ALTER KEYSPACE
        • ALTER ROLE
        • ALTER TABLE
        • CREATE INDEX
        • CREATE KEYSPACE
        • CREATE ROLE
        • CREATE TABLE
        • CREATE TYPE
        • DROP INDEX
        • DROP KEYSPACE
        • DROP ROLE
        • DROP TABLE
        • DROP TYPE
        • GRANT PERMISSION
        • GRANT ROLE
        • REVOKE PERMISSION
        • REVOKE ROLE
        • USE
        • INSERT
        • SELECT
        • EXPLAIN
        • UPDATE
        • DELETE
        • TRANSACTION
        • TRUNCATE
        • Simple expressions
        • Subscripted expressions
        • Function call
        • Operators
        • BLOB
        • BOOLEAN
        • Collection
        • FROZEN
        • INET
        • Integer and counter
        • Non-integer
        • TEXT
        • DATE, TIME, and TIMESTAMP
        • UUID and TIMEUUID
        • JSONB
        • Date and time
        • BATCH
    • CLIs
      • yb-ctl
      • yb-docker-ctl
      • ysqlsh
      • ycqlsh
      • yb-admin
      • yb-ts-cli
      • ysql_dump
      • ysql_dumpall
    • Configuration
      • yb-tserver
      • yb-master
      • yugabyted
      • Default ports
    • Drivers and ORMs
      • JDBC Drivers
      • C# Drivers
      • Go Drivers
      • Python Drivers
      • Client drivers for YSQL
      • Client drivers for YCQL
    • Connectors
      • Kafka Connect YugabyteDB
    • Third party tools
      • pgAdmin
      • Apache Superset
      • Arctype
      • DBeaver
      • TablePlus
      • DbSchema
      • SQL Workbench/J
      • Cassandra Workbench
    • Sample datasets
      • Chinook
      • Northwind
      • PgExercises
      • SportsDB
      • Retail Analytics
  • RELEASES
    • Releases overview
      • v2.13 series (preview)
      • v2.12 series (stable)
      • v2.11 series
      • v2.9 series
      • v2.8 series
      • v2.7 series
      • v2.6 series
      • v2.5 series
      • v2.4 series
      • v2.3 series
      • v2.2 series
      • v2.1 series
      • v2.0 series
      • v1.3 series
      • v1.2 series
    • Release versioning
  • FAQ
    • Comparisons
      • Amazon Aurora
      • Google Cloud Spanner
      • CockroachDB
      • TiDB
      • Vitess
      • MongoDB
      • FoundationDB
      • Amazon DynamoDB
      • Azure Cosmos DB
      • Apache Cassandra
      • PostgreSQL
      • Redis in-memory store
      • Apache HBase
    • General FAQ
    • Operations FAQ
    • API compatibility FAQ
    • YugabyteDB Anywhere FAQ
  • MISC
    • YEDIS
      • Quick start
      • Develop
        • Build an application
        • C#
        • C++
        • Go
        • Java
        • NodeJS
        • Python
      • API reference
        • APPEND
        • AUTH
        • CONFIG
        • CREATEDB
        • DELETEDB
        • LISTDB
        • SELECT
        • DEL
        • ECHO
        • EXISTS
        • EXPIRE
        • EXPIREAT
        • FLUSHALL
        • FLUSHDB
        • GET
        • GETRANGE
        • GETSET
        • HDEL
        • HEXISTS
        • HGET
        • HGETALL
        • HINCRBY
        • HKEYS
        • HLEN
        • HMGET
        • HMSET
        • HSET
        • HSTRLEN
        • HVALS
        • INCR
        • INCRBY
        • KEYS
        • MONITOR
        • PEXPIRE
        • PEXPIREAT
        • PTTL
        • ROLE
        • SADD
        • SCARD
        • RENAME
        • SET
        • SETEX
        • PSETEX
        • SETRANGE
        • SISMEMBER
        • SMEMBERS
        • SREM
        • STRLEN
        • ZRANGE
        • TSADD
        • TSCARD
        • TSGET
        • TSLASTN
        • TSRANGEBYTIME
        • TSREM
        • TSREVRANGEBYTIME
        • TTL
        • ZADD
        • ZCARD
        • ZRANGEBYSCORE
        • ZREM
        • ZREVRANGE
        • ZSCORE
        • PUBSUB
        • PUBLISH
        • SUBSCRIBE
        • UNSUBSCRIBE
        • PSUBSCRIBE
        • PUNSUBSCRIBE
    • Legal
      • Third party software
> Drivers and ORMs > Python >

Python ORMs

Report a doc issue Suggest new content Contributor guide
  • CRUD operations with Django ORM
    • Add the Dependencies
    • Implement ORM mapping for YugabyteDB
    • Run the application
  • Next steps
  • Django ORM
  • SQLAlchemy ORM

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design.

CRUD operations with Django ORM

Learn how to establish a connection to YugabyteDB database and begin basic CRUD operations using the steps in the Build an application page under the Quick start section.

The following sections demonstrate how to perform common tasks required for Python application development using the Django ORM.

Add the Dependencies

To download the Django Rest Framework to your project, run the following command:

pip3 install djangorestframework

In addition, install the YB backend for Django by following the steps in the README. This backend has specific changes with respect to features either not supported by YugabyteDB or supported differently than PostgreSQL. For more information on these features, visit this GitHub issue.

Install the psycopg2 dependency by running the following command:

pip3 install psycopg2

Implement ORM mapping for YugabyteDB

Once all the dependencies are installed, start a Django project and create a new application. To start the project, run the following command:

django-admin startproject yugabyteTest && cd yugabyteTest/

Set up a new Django application using the following command:

python manage.py startapp testdb

After creating the application, configure it to connect to the database. To do this, change the application settings to provide the database credentials. In the file yugabyteTest/settings.py add the following code:

DATABASES = {
    'default': {
        'ENGINE': 'yb_backend',
        'NAME': 'yugabyte',
        'HOST': 'localhost',
        'PORT': 5433,
        'USER': 'yugabyte',
        'CONN_MAX_AGE': None,
        'PASSWORD': 'yugabyte'
    }
}

For better performance with YugabyteDB, use persistent connections (set CONN_MAX_AGE).

You also need the application and rest framework in the INSTALLED_APPS field. Replace the existing code with the following:

INSTALLED_APPS = [
    'rest_framework',
    'testdb.apps.TestdbConfig',
    'django.contrib.contenttypes',
    'django.contrib.auth',
]

REST_FRAMEWORK = {
    'DEFAULT_AUTHENTICATION_CLASSES': [],
    'DEFAULT_PERMISSION_CLASSES': [],
    'UNAUTHENTICATED_USER': None,
}

The next step is to create a model for the table. The table name is users and contains four columns -user_id,firstName,lastName, and email.

Add the following code to testdb/models.py:

rom django.db import models

class Users(models.Model):
    userId = models.AutoField(db_column='user_id', primary_key=True, serialize=False)
    firstName = models.CharField(max_length=50, db_column='first_name')
    lastName = models.CharField(max_length=50, db_column='last_name')
    email = models.CharField(max_length=100, db_column='user_email')

    class Meta:
        db_table = "users"

    def __str__(self):
        return '%d %s %s %s' % (self.userId, self.firstName, self.lastName, self.email)

After creating the model, you need to create a Serializer. Serializers allow complex data such as querysets and model instances to be converted to native Python datatypes, which can then be rendered into JSON, XML, or other content types. Serializers also provide deserialization, allowing parsed data to be converted back into complex types, after first validating the incoming data.

Copy the following code into testdb\serializers.py:

from rest_framework import serializers, status
from testdb.models import Users
from django.core.exceptions import ValidationError

class UserSerializer(serializers.ModelSerializer):
    class Meta:
        model = Users
        fields = ('userId', 'firstName', 'lastName', 'email')

To finish all the elements of the application, create a ViewSet. In testdb/views.py, add the following:

from django.shortcuts import render
from testdb.models import Users
from rest_framework import viewsets
from testdb.serializers import UserSerializer

class UserViewSet(viewsets.ModelViewSet):
    queryset = Users.objects.all()
    serializer_class = UserSerializer

Finally map the URLs in yugabyteTest/urls.py by adding the following code:

from django.urls import include, re_path
from rest_framework import routers
from testdb.views import UserViewSet

router = routers.SimpleRouter(trailing_slash=False)
router.register(r'users', UserViewSet)
urlpatterns = [
    re_path(r'^', include(router.urls))
]

For Django versions earlier than 4.0, use the following code instead, as you can import the URLs using django.conf.urls:

from django.urls import path, include
from django.conf.urls import url, include
from rest_framework import routers
from testdb.views import UserViewSet

router = routers.SimpleRouter(trailing_slash=False)
router.register(r'users', UserViewSet)

urlpatterns = [
    url(r'^', include(router.urls))
]

This completes the configuration of your test application. The next steps create the migration files and apply the migrations to the database. To do this, run the following command:

python3 manage.py makemigrations
python3 manage.py migrate

A users table should be created in your database. Use the ysqlsh client shell to verify that the users table has been created.

Run the application

To run the application and insert a new row, execute the following steps.

  1. Run the Django project using the following command:

    python3 manage.py runserver 8080
    
  2. Insert a row using the following command:

    curl --data '{ "firstName" : "John", "lastName" : "Smith", "email" : "[email protected]" }' \
          -v -X POST -H 'Content-Type:application/json' http://localhost:8080/users
    
  3. Verify that the new row is inserted by executing the following command:

    curl http://localhost:8080/users
    

You should see the following output:

[{"userId":1,"firstName":"John","lastName":"Smith","email":"[email protected]"}]

You can also verify this using the ysqlsh client shell.

Next steps

  • Explore Scaling Python Applications with YugabyteDB.
  • Learn how to develop Python applications with YugabyteDB Managed.
  • CRUD operations with Django ORM
    • Add the Dependencies
    • Implement ORM mapping for YugabyteDB
    • Run the application
  • Next steps
Ask our community
  • Slack
  • Github
  • Forum
  • StackOverflow
Yugabyte
Contact Us
Copyright © 2017-2022 Yugabyte, Inc. All rights reserved.