RIGHT JOIN is an esoteric feature in the SQL language, and hardly ever seen in the real world, because almost every RIGHT JOIN can just be expressed as an equivalent LEFT JOIN. The following two statements are equivalent: -- Popular SELECT c.first_name, c.last_name, p.amount FROM customer AS c LEFT JOIN payment AS p ON c.customer_id … Continue reading Think About SQL MERGE in Terms of a RIGHT JOIN
Tag: SQL Server
An Efficient Way to Check for Existence of Multiple Values in SQL
In a previous blog post, we've advertised the use of SQL EXISTS rather than COUNT(*) to check for existence of a value in SQL. I.e. to check if in the Sakila database, actors called WAHLBERG have played in any films, instead of: SELECT count(*) FROM actor a JOIN film_actor fa USING (actor_id) WHERE a.last_name = … Continue reading An Efficient Way to Check for Existence of Multiple Values in SQL
How to Pass a Table Valued Parameter to a T-SQL Function with jOOQ
Microsoft T-SQL supports a language feature called table-valued parameter (TVP), which is a parameter of a table type that can be passed to a stored procedure or function. For example, you may write: CREATE TYPE u_number_table AS TABLE (column_value INTEGER); CREATE FUNCTION f_cross_multiply ( @numbers u_number_table READONLY ) RETURNS @result TABLE ( i1 INTEGER, i2 … Continue reading How to Pass a Table Valued Parameter to a T-SQL Function with jOOQ
LATERAL is Your Friend to Create Local Column Variables in SQL
The standard SQL WITH clause has been tremendously helpful in structuring SQL queries. Instead of nesting everything in unreadable derived tables like this: SELECT actor_id, name, COUNT(*) FROM ( SELECT actor_id, first_name || ' ' || last_name AS name FROM actor ) AS a JOIN film_actor AS fa USING (actor_id) GROUP BY actor_id, name ORDER … Continue reading LATERAL is Your Friend to Create Local Column Variables in SQL
Using H2 as a Test Database Product with jOOQ
The H2 database is an immensely popular in-memory database product mostly used by Java developers for testing. If you check out the DB-Engines ranking, it ranks 50th, which is quite impressive, as this rank outperforms products like: CockroachDBIgniteSingle Store (previously MemSQL)Interbase (which was forked as Firebird)Ingres (which is a predecessor to the awesome PostgreSQL)Google BigTable … Continue reading Using H2 as a Test Database Product with jOOQ
The Performance of Various To-Many Nesting Algorithms
It's been a while since jOOQ 3.15 has been released with its revolutionary standard SQL MULTISET emulation feature. A thing that has been long overdue and which I promised on twitter a few times is to run a few benchmarks comparing the performance of various approaches to nesting to-many relationships with jOOQ. This article will … Continue reading The Performance of Various To-Many Nesting Algorithms
Setting the JDBC Statement.setFetchSize() to 1 for Single Row Queries
An interesting hint by Vladimir Sitnikov has made me think about a new benchmark for jOOQ: https://twitter.com/lukaseder/status/1407662449331949568 The benchmark should check whether single row queries should have a JDBC Statement.setFetchSize(1) call made to them by default. The Javadoc of the method says: Gives the JDBC driver a hint as to the number of rows that … Continue reading Setting the JDBC Statement.setFetchSize() to 1 for Single Row Queries
Vendor Agnostic, Dynamic Procedural Logic with jOOQ
One of the strengths of modern RDBMS is the capability to mix the powerful SQL language with procedural code. SQL is a 4th generation programming language (4GL), and as such, extremely well suited for querying and bulk data manipulation. Its functional-declarative nature allows for it to be optimised in highly efficient ways using cost-based optimisation, … Continue reading Vendor Agnostic, Dynamic Procedural Logic with jOOQ
jOOQ 3.15’s New Multiset Operator Will Change How You Think About SQL
This is how SQL should have been used all along. They called it The Third Manifesto, ORDBMS, or other things. Regrettably, it never really took off. Because most vendors didn't adopt it. And those who did, didn't agree on syntax. But this is about to change. Thanks to the now ubiquitous SQL/JSON support (which jOOQ … Continue reading jOOQ 3.15’s New Multiset Operator Will Change How You Think About SQL
Use IN List Padding to Your JDBC Application to Avoid Cursor Cache Contention Problems
A problem few developers are aware of is the possibility of running into "cursor cache contention" or "execution plan cache contention" problems when using IN lists in SQL. The problem that is described in lengths in previous articles, can be summarised as this. All of these are distinct SQL queries and need to be parsed … Continue reading Use IN List Padding to Your JDBC Application to Avoid Cursor Cache Contention Problems