Description
Querydsl is a framework which enables the construction of type-safe SQL-like queries for multiple backends including JPA, MongoDB and SQL in Java.
Instead of writing queries as inline strings or externalizing them into XML files they are constructed via a fluent API.
Use these tutorials to get started
Querydsl alternatives and similar libraries
Based on the "Database" category.
Alternatively, view Querydsl alternatives based on common mentions on social networks and blogs.
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MapDB
MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine. -
orientdb
OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries. -
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Crate
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene. -
ObjectBox embedded database
Android Database - first and fast, lightweight on-device vector database -
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Chronicle Map
Replicate your Key Value Store across your network, with consistency, persistance and performance. -
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JDBI
The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala. -
sql2o
sql2o is a small library, which makes it easy to convert the result of your sql-statements into objects. No resultset hacking required. Kind of like an orm, but without the sql-generation capabilities. Supports named parameters. -
JetBrains Xodus
Transactional schema-less embedded database used by JetBrains YouTrack and JetBrains Hub. -
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FlexyPool
FlexyPool adds metrics and failover strategies to a given Connection Pool, allowing it to resize on demand. -
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InfluxDB - Purpose built for real-time analytics at any scale.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
Querydsl
Querydsl is a framework which enables the construction of type-safe SQL-like queries for multiple backends including JPA, MongoDB and SQL in Java.
Instead of writing queries as inline strings or externalizing them into XML files they are constructed via a fluent API.
Getting started
Use these tutorials to get started
- Querying JPA
- Querying SQL
- Querying Mongodb
- Querying Lucene
- Querying Collections
- Querydsl Spatial
- Querying JDO
Examples
Support
Free support is provided in the Discussion Section and on StackOverflow. Please do not post questions as issue. Such issues will be closed immediately.
How to build
Querydsl provides releases via public Maven repositories, but you can also build the sources yourself like this
$ mvn -Pquickbuild,{projectname} clean install
Where projectname is one of the Maven profiles (e.g. jpa, sql, mongodb, etc. or all)
For more information visit the project homepage at https://querydsl.github.io.
Docker Compose setup
For running tests, a Docker Compose setup is provided. It comes with the following databases:
- Oracle Express Edition 11g
- PostgreSQL 9.1.10
- MySQL 5.5.34
- Cubrid 9.2
You will need to install Docker and docker-compose.
To launch the database containers:
$ docker-compose up -d
All of the databases' default ports are forwarded to the host machine.
How to contribute
GitHub pull requests are the way to contribute to Querydsl.
If you are unsure about the details of a contribution, ask on the Querydsl Google Group or create a ticket on GitHub.
Slack
If you want to join Slack workspace for Querydsl contributors join by following this link.