Add support for time travel queries with the Delta Lake connector.
Add support for the REPLACE modifier as part of a CREATE TABLE statement
with the Delta Lake connector.
Add support for writing Bloom filters in Parquet files with the Hive connector.
Add support for dynamic filtering to the MongoDB connector.
Expand support for function pushdown in the Snowflake connector.
Lukas Eder and data geekery
Lukas is recognized as a Java Champion and
well-known as a very active member of the Java community. We chat about his
history and involvement in the community of Java and related open source
projects, and how it lead to jOOQ and his company data
geekery. Lukas also briefly talks about other products.
jOOQ
jOOQ stands for jOOQ Object Oriented Querying (jOOQ). It generates Java code
from your database, and lets you build type safe SQL queries through its
fluent API.
All editions of jOOQ since the 3.19 release include support for Trino. The
level of support depends on the used catalog and connector, and further
Trino-specific enhancements are in progress.
In our conversation and demo session with Lukas, we cover all the following
aspects and a few other topics:
What is jOOQ?
What motivated the creation of jOOQ?
Discuss the great reasons for using jOOQ:
Database first
Typesafe SQL
Code generation
Active records
Multi-tenancy
Standardization
Query lifecycle
Procedures
How does it compare to ORM system like Hibernate or
others like the old MyBatis
What databases are supported by jOOQ and commonly used?
Chat about some customer use cases.
Supported and required Java versions, fun with upgrades, and experience from customers.
How Lukas discovered Trino and decided to add support for it.
Challenges and interesting aspects of supporting different databases
What is next for jOOQ in general, and Trino support specifically?
Cool SQL features in Trino that might be suitable for standardization: