- Dark theme support was improved (Windows 10 and GTk)
- Data viewer:
- Copy As: format configuration editor was added
- Extra configuration for filter dialog (performance)
- Sort by column as fixed (for small fetch sizes)
- Case-insensitive filters support was added
- Plaintext view now support top/bottom dividers
- Data editor was fixed (when column name conflicts with alias name)
- Duplicate row(s) command was fixed for multiple selected rows
- Edit sub-menu was returned to the context menu
- Columns auto-size configuration was added
- Dictionary viewer was fixed (for read-only connections)
- Current/selected row highlighting support was added (configurable)
- Metadata search now supports search in comments
- Map position preserve after tiles change
- Support of geometries with Z and M coordinates was added
- Postgis: DDL for 3D geometry columns was fixed
- Presto + MySQL geometry type support was added
- BigQuery now supports spatial data viewer
- Binary geo json support was improved
- Geometry export was fixed (SRID parameter)
- Tiles definition editor was fixed (multi-line definitions + formatting)
- SQL editor:
- Auto-completion for objects names with spaces inside was fixed
- Database objects hyperlinks rendering was fixed
- SQL Server: MFA (multi-factor authentication) support was added
- PostgreSQL: array data types read was fixed
- Oracle: indexes were added to table DDL
- Vertica: LIMIT clause support was improved
- Athena: extra AWS regions added to connection dialog
- Sybase IQ: server version detection was improved
- SAP ASE: user function loading was fixed
- Informix: cross-database metadata read was fixed
- We migrated to Eclipse 2021-03 platform
Docker image for dbeaver. Contribute to jainishshah17/docker-dbeaver development by creating an account on GitHub. DBeaver Community Edition. DBeaver CE is a popular open-source desktop application for working with SQL-databases. It supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server and others. Look at DBeaver CE. Forgot Docker ID or Password?
I prefer to use Docker containers for running a PostgreSQL database.
Spin up the container, develop the app, then tear down the container. The Postgres database doesn’t clutter up my local system, and I can easily set it up on a different machine.
Using Docker Compose, I can configure the setup and commit it to source control.
In this blog post, I’ll show you how to get a database up and running with Docker and Docker Compose.
Postgres with Docker Compose⌗
Docker Compose allows you to write yaml files that are easy to read for humans and serve as instructions for Docker.
Go to the project folder of your application and create a new file:
We create a new service called
db (you can call it whatever you want).
The container runs on port 5432. Docker exposes that port on
You need to map the port inside the container to the host machine (your development computer).
Otherwise, your app won’t be able to connect to the Postgres database.
We also use some environment variables for the user and password.
What’s the deal with volumes?
Volumes are the preferred mechanism for persisting data generated by and used by Docker containers. 1
If you specify volumes in the
docker-compose.yml file, Compose preserves the volume:
docker-compose up runs, if it finds any containers from previous runs, it copies the volumes from the old container to the new container. This process ensures that any data you’ve created in volumes isn’t lost. 2
The empty top-level entry tells Compose that the utility should use the default driver for your machine.
Create a Dockerfile⌗
We told Compose that there will be a Dockerfile in the
Example folder structure:
If you have a different folder structure, you need to adjust
context entry. At the moment, Docker looks for the
db directory in the root folder:
db directory and the
(See Docker Hub for alternative images.)
Now we can use
init.sql to populate the database. We use a simple script that creates a new database called
Dbeaver Docker Oracle
I manage schema creation within my app in the language of my choice. For example, I use TypeORM (TypeScript) or SQLAlchemy (Python), depending on the web framework I’m using.
Now you can run the database. Inside the root directory, open the terminal and type:
The command will start the container in detached mode (in the background).
If you want to use the command line to connect to the database:
docker-compose exec: execute a command inside a running container
db: name of the service (see configuration in
psql: terminal command to run, see
-U postgres: user name is postgres
-d task_management: connect to the database called
Alternatively, you can use a GUI tool like pgAdmin or DBeaver.
You’ve seen how to create a simple configuration for Docker and Docker Compose that will create a Postgres container.
Now you can use the database for local development of your application.
Dbeaver Docker Postgres
- Database in a Docker container — how to start and what’s it about by Wojciech Krzywiec
Dbeaver Docker Mysql