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// but for simplicity choose just some from the original API // public byte[] digest(ByteBuffer bb) { return impl.digest(bb); } } Our new API shields its users from the details needed only for the service provider. Moreover, it does immediately show that it s an API class because it s made final. Obviously, this is not a huge improvement over the original version, but remember that this is just an example. The new API is a modular library that allows extensions. It can define its own public way for extensibility, but doesn t need to. It can rely completely on the old providers. This might be useful in situations where only the client part of the old API is wrong. In this case, let s also define a way for people who want to write providers. Only in this way can you create a real rewrite that can completely replace the old API and send it to the black hole where you want it to be. Let s now define a new API for providers using an approach called, among NetBeans engineers, singletonizer: public abstract class protected abstract protected abstract protected abstract } Digestor<Data> { byte[] digest(Data data); Data create(String algorithm); void update(Data data, ByteBuffer input);

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Note Several XML processing constructs exist, including the DOM, which is fast and flexible but memory based. Alternatively, the Simple API for XML (SAX) model is a fast and memory-efficient stream of data but is limited in terms of power because it relies on your programmatic flexibility.

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The ROLLUP function performs grouping at multiple levels, using a right-to-left method of rolling up through intermediate levels to any grand total or summation In our recipe, this means that after performing normal grouping by DEPARTMENT_ID and JOB_ID, the ROLLUP function rolls up all JOB_ID values so that we see an average and sum for the DEPARTMENT_ID level across all jobs in a given department ROLLUP then rolls up to the next (and highest) level in our recipe, rolling up all departments, in effect providing an organization-wide rollup You can see the rolled up rows in bold in the output Performing this rollup would be the equivalent of running three separate statements, such as the three that follow, and using UNION or application-level code to stitch the results together select department_id, job_id, avg(salary), sum(salary) from hremployees group by department_id, job_id; select department_id, avg(salary), sum(salary) from hr.

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This approach has the benefit of simplifying the life cycle for implementors. All they need to do is implement and register a single interface and define a private object that holds their data. As a result, there needs to be only one interface in the service provider API, while a similar pattern with a factory class would require two classes. Also, the implementor has more freedom in choosing the actual type that will be used to represent its own data structures. For example, to implement a digest by counting the number of processed bytes, you might decide to use int[1] as its own data structure: public final class CountingDigestor extends Digestor<int[]> { @Override protected byte[] digest(int[] data) { int i = data[0]; byte[] arr = { (byte) (i & 255), (byte) ((i >> 8) & 255), (byte) ((i >> 16) & 255), (byte) ((i >> 24) & 255) }; return arr; } @Override protected int[] create(String algorithm) {

employees group by department_id; select avg(salary), sum(salary) from hremployees; Of course, in doing this, you re responsible for your own interspersing of subtotals at the intuitive points in the output You could try writing a three-way UNION subselect with an outer SELECT to do the ordering If this sounds more and more complicated, be thankful the ROLLUP command, and its associated command CUBE, have displaced the need to perform such awkward computations Careful observers will note that because ROLLUP works from right to left with the columns given, we don t see values where departments are rolled up by job We could achieve this using this version of the recipe select department_id, job_id, avg(salary), sum(salary) from hremployees group by rollup (job_id, department_id); In doing so, we get the DEPARTMENT_ID intermediate rollup we want, but lose the JOB_ID intermediate rollup, seeing only JOB_ID rolled up at the final level.

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