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Use a jOOQ field’s in(...) condition to filter rows by a collection of values. If your application uses Spring’s JdbcTemplate to execute the query, jOOQ can still build the SQL and provide its bind values. Decide separately what null or empty input means for your application: omit the filter, match no rows, or reject the request.
First confirm what “JooqTemplate” means in your project. The official example covered here documents jOOQ working with Spring JdbcTemplate; it does not document a class named JooqTemplate.
Build an IN condition with jOOQ
For a generated, type-safe query, use the relevant field’s in(...) condition and combine it with other query conditions. The precise overload available can depend on the jOOQ version and field type in your project, so check that version’s API before copying a method signature. The available official reference does not establish a current, version-specific signature for every collection use case.
Conceptually, the condition asks jOOQ to compare a field against the supplied values. Keep the field and query parts typed where possible rather than constructing the ordinary predicate as a string. This retains jOOQ’s query-building model and avoids hand-assembling the value list.
Execute a jOOQ-built query with Spring JdbcTemplate
If “JooqTemplate” refers to using jOOQ together with Spring’s JdbcTemplate, the documented approach is to build a jOOQ ResultQuery and pass its rendered SQL and bind values to JdbcTemplate. The official jOOQ migration example uses this call shape:
jdbcTemplate.query(query.getSQL(), rowMapper, query.getBindValues().toArray())Here, query is the jOOQ-built result query and rowMapper is the Spring mapper for the returned rows. jOOQ supplies the SQL and values; JdbcTemplate performs execution and row mapping. See the jOOQ migration example for Spring JdbcTemplate for the documented integration.
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Choose what null and empty collections mean
A collection’s missing or empty state is an application-level decision, not a universal instruction to jOOQ to omit a condition. Make the endpoint contract explicit before building the predicate.
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|---|---|---|
| Omit the IN filter for null or empty input | Other query conditions still apply, but the collection does not restrict results. | Use when missing or empty input means “no filter.” |
| Match no rows | The query returns no matching records because the empty selection is treated as selecting nothing. | Use when an empty collection means “select none.” |
| Reject the request | Return a validation error rather than querying with an ambiguous selection. | Use when the endpoint requires at least one value. |
Do not silently treat null and an empty collection as equivalent unless the endpoint contract defines them that way. A community search-result snippet for this topic suggests ignoring the condition for null or empty department IDs, but the article itself was inaccessible; that behavior should be treated as one possible policy, not as a library rule.
Keep plain SQL templates fixed and bind values
For ordinary IN filters, prefer typed jOOQ conditions. If you need plain SQL for syntax that is inconvenient to express otherwise, keep the SQL template under application control and supply runtime data through bind values or jOOQ query parts. The placeholder count must match the supplied bindings.
The jOOQ manual warns: “Your SQL is inserted into jOOQ queries without further checks. Hence, jOOQ can’t prevent SQL injection or transform your SQL string in any way.” In practice, do not concatenate user-provided values into a SQL template. Binding values does not make an unsafe, user-controlled SQL string safe. Read the jOOQ plain SQL documentation for its templating and binding guidance.
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jOOQ also supports inlined parameters, which render values directly into SQL instead of using JDBC question marks. The manual describes configuration-wide, query-local, and query-part-local options. Inlining is not the default choice for untrusted input: use it only when there is a justified need and the resulting SQL has been reviewed for correct escaping and security.
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Check large IN lists against your database and version
Very long IN predicates can have database-specific consequences. An older, surfaced jOOQ Field API result warns that arbitrary-length IN predicates may contribute to cursor-cache contention in some databases, but that result is version-specific and does not establish a universal performance rule. Verify the API for your jOOQ version, your database dialect’s parameter limits, and measured workload before choosing a different strategy.
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Depending on those findings, alternatives to investigate may include chunking values, array binding, or a temporary table. None is automatically faster or more suitable; decide from the constraints and behavior of your actual database and workload.
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