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{"id":"joelennon","key":"joelennon","value":{"rev":"1-45597617"}}, {"id":"johnsmith","key":"johnsmith","value":{"rev":"2-843046980"}} ]} The total_rows field tells you the number of documents stored in the database. The results are ordered by document ID. You can reverse the order by issuing the query string descending=true: $ curl -X GET http://127.0.0.1:5984/contacts/_all_docs descending=true As you can see, the results are identical except the contents of the rows array appear in the reverse order: { total_rows :2, offset :0, rows :[ {"id":"johnsmith","key":"johnsmith","value":{"rev":"2-843046980"}}, {"id":"joelennon","key":"joelennon","value":{"rev":"1-45597617"}} ]} You can limit the number of documents to return using the limit query parameter. In the following example, I am limiting the results of the _all_docs view to just one, with the order still set to descending. Be sure to escape the & character by prefixing it with a backslash. $ curl -X GET http://127.0.0.1:5984/contacts/_all_docs descending=true\&limit=1 This should return output similar to the following: {"total_rows":2,"offset":0,"rows":[ {"id":"johnsmith","key":"johnsmith","value":{"rev":"2-843046980"}} ]} From version 0.9.0 of CouchDB onward, you can also request that the actual document data itself be returned along with the metadata when using the _all_docs view. This will not work in versions prior to 0.9.0. $ curl -X GET http://127.0.0.1:5984/contacts/_all_docs include_docs=true This returns similar results to the previous queries, except that it also returns the actual data stored in each document. The response should be similar in format to the following text: {"total_rows":2,"offset":0,"rows":[ {"id":"joelennon","key":"joelennon","value":{"rev":"145597617"},"doc":{"_id":"joelennon","_rev":"145597617","firstName":"Joe","lastName":"Lennon","email":"joe@joelennon.ie"}}, {"id":"johnsmith","key":"johnsmith","value":{"rev":"2843046980"},"doc":{"_id":"johnsmith","_rev":"2843046980","firstName":"John","lastName":"Smith","email":["johnsmith@example.com","jsmith@ex ample.com"],"phone":"(555) 555-5555"}} ]} The second and final built-in view I ll cover is the _all_docs_by_seq view. This view returns all documents in the database, including deleted ones, ordered by the last time they were modified. To use this view, simply issue the following: $ curl -X GET http://127.0.0.1:5984/contacts/_all_docs_by_seq

Listing 5-9 shows what the source code for the BookSessionBean bean might look like. Listing 5-9. Source Code for the BookSessionBean Bean Whose gettingQuantity Business Method Issues a Direct SQL Query Against the books Table Over JDBC package ejbjpa.ejb; import java.io.Serializable; import javax.ejb.EJBException; import javax.ejb.Stateless; import javax.annotation.Resource;

s Note ActiveX is a Microsoft technology that enables components within the operating system to communicate with each other. Using JavaScript with ActiveX, you can actually interact with many applications stored on the client s machine (if installed). For example, given a loose security setting, you can open Microsoft Office applications, interact with them, and even copy data out of them all from a web page. The same can actually be done with any application that offers a component object model (COM) interface.

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import javax.sql.DataSource; import java.sql.*; @Stateless public class BookSessionBean implements BookSession { @Resource(name="jdbc/MySQL") private DataSource dataSource; public Integer gettingQuantity(String book_id) { Integer qnty; try { Connection conn = dataSource.getConnection(); PreparedStatement stmt = conn.prepareStatement ("SELECT quantity FROM books WHERE isbn= "); stmt.setString(1, book_id); ResultSet rslt = stmt.executeQuery(); rslt.next(); qnty = rslt.getInt("quantity"); rslt.close(); stmt.close(); conn.close(); } catch (Exception e) { throw new EJBException(e.getMessage()); } return qnty; } } In this example, you use the @Resource annotation to inject the data source required to make a connection to the database. Then, you use standard JDBC APIs to retrieve the data of interest from the books table.

This should return both of the documents that currently exist in the database, along with the johndoe contact you created and subsequently deleted earlier in this chapter: {"total_rows":2,"offset":0,"rows":[ {"id":"johndoe","key":2,"value":{"rev":"2-2789254104","deleted":true}}, {"id":"joelennon","key":5,"value":{"rev":"1-45597617"}}, {"id":"johnsmith","key":7,"value":{"rev":"2-843046980"}} ]} All the view parameters you passed when using the _all_docs view will also work with the _all_docs_by_seq view.

You saw how to create a stored procedure in the Moving Business Logic Into Stored Procedures section earlier in this chapter. If you recall from that example, the stored procedure was designed to be invoked from within a BEFORE INSERT trigger. In some situations, however, you may need to invoke a stored procedure from within an enterprise bean directly. Returning to the sample in the preceding section, you might wrap the select statement issued against the books table in a stored function implemented inside the database and then call this function from within the bean code, rather than issuing a direct query against the books table.

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