Stop referring to JDO and outdated JDBC versions in documentation

Closes gh-31183
This commit is contained in:
Sam Brannen
2023-09-07 13:14:20 +02:00
parent 05790e36db
commit e42902b742
19 changed files with 65 additions and 61 deletions

View File

@@ -2,30 +2,26 @@
= Choosing an Approach for JDBC Database Access
You can choose among several approaches to form the basis for your JDBC database access.
In addition to three flavors of `JdbcTemplate`, a new `SimpleJdbcInsert` and
`SimpleJdbcCall` approach optimizes database metadata, and the RDBMS Object style takes a
more object-oriented approach similar to that of JDO Query design. Once you start using
one of these approaches, you can still mix and match to include a feature from a
different approach. All approaches require a JDBC 2.0-compliant driver, and some
advanced features require a JDBC 3.0 driver.
In addition to three flavors of `JdbcTemplate`, a `SimpleJdbcInsert` and `SimpleJdbcCall`
approach optimizes database metadata, and the RDBMS Object style results in a more
object-oriented approach. Once you start using one of these approaches, you can still mix
and match to include a feature from a different approach.
* `JdbcTemplate` is the classic and most popular Spring JDBC approach. This
"`lowest-level`" approach and all others use a JdbcTemplate under the covers.
"`lowest-level`" approach and all others use a `JdbcTemplate` under the covers.
* `NamedParameterJdbcTemplate` wraps a `JdbcTemplate` to provide named parameters
instead of the traditional JDBC `?` placeholders. This approach provides better
documentation and ease of use when you have multiple parameters for an SQL statement.
* `SimpleJdbcInsert` and `SimpleJdbcCall` optimize database metadata to limit the amount
of necessary configuration. This approach simplifies coding so that you need to
provide only the name of the table or procedure and provide a map of parameters matching
the column names. This works only if the database provides adequate metadata. If the
database does not provide this metadata, you have to provide explicit
configuration of the parameters.
of necessary configuration. This approach simplifies coding so that you only need to
provide the name of the table or procedure and a map of parameters matching the column
names. This works only if the database provides adequate metadata. If the database does
not provide this metadata, you have to provide explicit configuration of the parameters.
* RDBMS objects — including `MappingSqlQuery`, `SqlUpdate`, and `StoredProcedure` —
require you to create reusable and thread-safe objects during initialization of your
data-access layer. This approach is modeled after JDO Query, wherein you define your
query string, declare parameters, and compile the query. Once you do that,
`execute(...)`, `update(...)`, and `findObject(...)` methods can be called multiple
times with various parameter values.
data-access layer. This approach allows you to define your query string, declare
parameters, and compile the query. Once you do that, `execute(...)`, `update(...)`, and
`findObject(...)` methods can be called multiple times with various parameter values.

View File

@@ -20,9 +20,10 @@ xref:data-access/jdbc/connections.adoc[Controlling Database Connections] and xre
* `object`: The `org.springframework.jdbc.object` package contains classes that represent
RDBMS queries, updates, and stored procedures as thread-safe, reusable objects. See
xref:data-access/jdbc/object.adoc[Modeling JDBC Operations as Java Objects]. This approach is modeled by JDO, although objects returned by queries
are naturally disconnected from the database. This higher-level of JDBC abstraction
depends on the lower-level abstraction in the `org.springframework.jdbc.core` package.
xref:data-access/jdbc/object.adoc[Modeling JDBC Operations as Java Objects]. This style
results in a more object-oriented approach, although objects returned by queries are
naturally disconnected from the database. This higher-level of JDBC abstraction depends
on the lower-level abstraction in the `org.springframework.jdbc.core` package.
* `support`: The `org.springframework.jdbc.support` package provides `SQLException`
translation functionality and some utility classes. Exceptions thrown during JDBC processing