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In this large and information-packed chapter you took a deep dive into the datastore and then used what you learned to complete your application. Since databases are an integral part of almost every application, it s worth recapping what you've learned. Bigtable is a highly distributed and scalable service for storing and managing structured data. Bigtable is not a typical relational database that stores records as rows in a table. Instead, it stores data as entities with properties organized by application-defined kinds that can be manipulated using either low-level or highlevel APIs. Using JDO you can perform common CRUD operations as well as query for entities using JDOQL, a SQL-like query language. JDOQL supports filtering, sorting, and indexing of queries. At a high level, Bigtable supports transactions like most relational databases. For the remainder of the chapter the focus was on finishing up your application. First you created an RPC data service that allowed your GWT front end to communicate with the server. You created quite a few classes and interfaces to implement this service as well as the objects that were passed between client and server layers. When you were done, you had a complete and working timecard application. In the next chapter we'll focus on some of the functional services available to App Engine applications.a

The third statement fails because its first character (r) is not a numeric character from 0 through 9 The fourth statement fails because it attempts to insert a null value into the psc1 column; a null value is the default value for most columns that do not have a DEFAULT property set to another value INSERT INSERT INSERT INSERT T T T T (psc1) VALUES('40222') (psc1) VALUES('4022') (psc1) VALUES('r0222') DEFAULT VALUES.

That s the Orientation button. Click its down arrow, and you ll see this (Figure 4 42):

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It is sometimes convenient to define constraints across more than one column. One obvious reason for a multicolumn constraint is when you need to specify a primary key based on two or more columns, instead of just a single column. You ll need a multicolumn primary key whenever it takes two or more columns to uniquely specify any particular table row. In addition, the CHECK constraints discussed in the "Specifying a Pattern for Character Input" section apply to just one column, but some database modeling efforts require constraints specified by two or more table columns. For example, your application may approve an order amount column value over a fixed limit only if another column indicates the name of an approving manager. Multicolumn constraints are sometimes referred to as table constraints because they are not bound to a single column. In fact, the syntax for declaring a multicolumn constraint applies to the table level. As you have seen, the CREATE TABLE statement comma delimits the specification for each column. This syntax declares each column at the table level not within another column of the table. After specifying all the columns for a table within a CREATE TABLE statement, you can use commas to delimit additional specifications for each constraint that you want to apply to an overall table instead of one specific column.

Multicolumn primary keys can be clustered or nonclustered just like single-column primary keys. The ordering of rows on the storage device for clustered multicolumn keys applies to the primary key index not to any one column defining the index. You can designate a clustered multicolumn primary key by specifying the termed CLUSTERED immediately after the PRIMARY KEY phrase. You can optionally replace the CLUSTERED keyword by the NONCLUSTERED keyword for a nonclustered primary key. The syntax for a clustered primary key index is: CONSTRAINT PK_Name PRIMARY KEY CLUSTERED (Col1_Name, Col2_Name).

Figure 4 42. Orientation options That s a pretty illustrative, what-you-see-is-what-you-get drop-down. Select a cell, then click Vertical Text, for example, and you get (Figure 4 43):

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