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CHAPTER 6 PERSISTENCE WITH JDBC
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Map outParameters = execute(inParameters); if (outParameters.size() > 0) { return (Integer) outParameters.get("number_aggregated"); } else { return 0; } } } You will notice that Listing 6-19 looks similar to all the previous examples. However, it has two important differences: For stored procedures, we also need to declare one or more out parameters. This is necessary only when the stored procedure actually returns one or more values. In this case, the stored procedure named aggregate_members returns the number of rows that were aggregated. Therefore, we need to declare one out parameter. In the aggregate() method, we need to first declare a map containing all the input parameters, and that map is then used to execute the actual stored procedure. The execution returns a Map containing all the out parameters that were returned by the stored procedure. We just need to get the parameters by the name we specified when declaring the out parameters.
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It is considered a best practice to have the method on the implementation resemble the signature of the actual stored procedure. So, in this case, the stored procedure accepts two integers, and the aggregate method also accepts two integer arguments.
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Because most of the actual code for executing the query is already inside the stored procedure implementation, calling the stored procedure from our DAO is straightforward: CallAggregateMembers procedure = new CallAggregateMembers(getDataSource()); int numberOfAffectedRecords = procedure.aggregate(1, 2);
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One of the major advantages of using JDBC over most ORM solutions is its support for batch operations. Suppose that we want to create an import tool that allows us to import a number of old members. Say we have a comma-separated file containing the data that we read and transform to a list of Member instances. To insert such instances into a database, most ORM solutions force you to call a save method on all of them separately. When working with the JDBC API, you can create a batch containing all the INSERT statements and send them to the database together for execution, which improves performance greatly. Creating a batch is fairly straightforward using Spring s JDBC support. We just need to call a different method on the JdbcTemplate class and use a specific callback implementation, as shown in Listing 6-20. Listing 6-20. Performing a Batch Update Using the JdbcTemplate Class public void importMembers(final List<Member> members) { getJdbcTemplate().batchUpdate( "INSERT INTO member (name_first, name_middle, name_last, address_line1, " +
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CHAPTER 6 PERSISTENCE WITH JDBC
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"address_line2, address_city, address_state, address_zip, age) " + "VALUES ( , , , , , , , , )", new BatchPreparedStatementSetter() { public void setValues(PreparedStatement ps, int i) throws SQLException { Member member = members.get(i); ps.setString(1, member.getName().getFirst()); ps.setString(2, member.getName().getMiddle()); ps.setString(2, member.getName().getLast()); ps.setInt(9, member.getAge()); } public int getBatchSize() { return members.size(); } } ); } Here, we ve used the batchUpdate() method with the same SQL statement as we used previously to insert member instances into the database and a specific callback. The org.springframework. jdbc.core.BatchPreparedStatementSetter callback defines two methods we need to implement: setValues(), which is the same as previous examples, but in this case, it is called for each item in the batch getBatchSize(), which is used by JdbcTemplate to determine the batch size and therefore the number of times the setValues() method must to be called
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Some applications require you to work with large chunks of data, such as images, documents, and so on. These items need to be persisted in the same way as any other piece of data. Most databases support storing these larger amounts of data by means of a large object (LOB). Two kinds of LOBs exist: binary large objects (BLOBs) for large chunks of binary data and character large objects (CLOBs) for large chunks of character data. These kinds of objects are not supported by all databases and require special handling when storing and retrieving them. Spring provides support for handling LOBs through the JdbcTemplate class. Listing 6-21 demonstrates how to store a BLOB in the database. Listing 6-21. Storing a BLOB Using the LobHandler Class private LobHandler lobHandler = new DefaultLobHandler(); public void addImageForMember(final Integer memberId, final InputStream in) throws IOException { final int imageSize = in.available(); getJdbcTemplate().execute( "INSERT INTO member_image (member_id, image) VALUES ( , )", new AbstractLobCreatingPreparedStatementCallback(lobHandler) { protected void setValues(PreparedStatement ps, LobCreator lobCreator) throws SQLException, DataAccessException { ps.setInt(1, memberId); lobCreator.setBlobAsBinaryStream(ps, 2, in, imageSize);
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