I just fixed a bug. The fix required me to initialise an Object array with the init values for each type, instead of just null, i.e. false for boolean, 0 for int, 0.0 for double, etc. So, instead of just doing: Object converted = new Object[parameterTypes.length]; I needed: Object converted = new Object[parameterTypes.length]; for (int … Continue reading Could we Have a Language That Hides Collections From Us?
One of the Stream APIs greatest features is its laziness. The whole pipeline is constructed lazily, stored as a set of instructions, akin to a SQL execution plan. Only when we invoke a terminal operation, the pipeline is started. It is still lazy, meaning that some operations may be short circuited. Some third party libraries … Continue reading A Quick Trick to Make a Java Stream Construction Lazy
How to write a simple API is already an art on its own. I didn't have time to write a short letter, so I wrote a long one instead. ― Mark Twain But keeping an API simple for beginners and most users, and making it extensible for power users seems even more of a challenge. … Continue reading How to Write a Simple, yet Extensible API
Annotation processors can be useful as a hacky workaround to get some language feature into the Java language. jOOQ also has an annotation processor that helps validate SQL syntax for: Plain SQL usage (SQL injection risk) SQL dialect support (prevent using an Oracle only feature on MySQL) You can read about it more in detail … Continue reading How to Unit Test Your Annotation Processor using jOOR
I like weird, yet concise language constructs and API usages https://twitter.com/nipafx/status/1055451667079008256 Yes. I am guilty. Evil? Don't know. But guilty. I heavily use and abuse the java.lang.Boolean type to implement three valued logic in Java: Boolean.TRUE means true (duh) Boolean.FALSE means false null can mean anything like "unknown" or "uninitialised", etc. I know - a … Continue reading Imperative Loop or Functional Stream Pipeline? Beware of the Performance Impact!
Everyone knows the SQL SUM() aggregate function (and many people also know its window function variant). When querying the Sakila database, we can get the daily revenue (using PostgreSQL syntax): WITH p AS ( SELECT CAST (payment_date AS DATE) AS date, amount FROM payment ) SELECT date, SUM (amount) AS daily_revenue, SUM (SUM (amount)) OVER … Continue reading How to Write a Multiplication Aggregate Function in SQL
Clock's ticking. JDK 11 will remove a bunch of deprecated modules through JEP 320, which includes the Java EE modules, which again includes JAXB, a dependency of many libraries, including jOOQ. Thus far, few people have upgraded to Java 9 or 10, as these aren't LTS releases. Unlike in the old days, however, people will … Continue reading How to Patch Your IDE to Fix an Urgent Bug
In this much overdue article, I will explain why I think that in almost all cases, you should implement a "database first" design in your application's data models, rather than a "Java first" design (or whatever your client language is), the latter approach leading to a long road of pain and suffering, once your project … Continue reading Truth First, or Why You Should Mostly Implement Database First Designs
When inserting records into SQL databases, we often want to fetch back generated IDs and possibly other trigger, sequence, or default generated values. Let's assume we have the following table: -- DB2 CREATE TABLE x ( i INT GENERATED ALWAYS AS IDENTITY PRIMARY KEY, j VARCHAR(50), k DATE DEFAULT CURRENT_DATE ); -- PostgreSQL CREATE TABLE … Continue reading How to Run a Bulk INSERT .. RETURNING Statement With Oracle and JDBC
Something that has been said many times, but needs constant repeating until every developer is aware of the importance of this is the performance difference between row-by-row updating and bulk updating. If you cannot guess which one will be much faster, remember that row-by-row kinda rhymes with slow-by-slow (hint hint). Disclaimer: This article will discuss … Continue reading The Performance Difference Between SQL Row-by-row Updating, Batch Updating, and Bulk Updating