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type of user indentifier as the implementation on the server simply references the user s data from their Google account. Listing 7-13. Code for the getCurrentEntries method private void getCurrentEntries() { // get all of the milestones for the project dataService.getEntries(new AsyncCallback<Vector<TimeEntryData>>() { public void onFailure(Throwable caught) { handleError(caught); } public void onSuccess(Vector<TimeEntryData> entries) { int row = flexEntryTable.getRowCount(); for (TimeEntryData ted : entries) { row++; flexCurrentTable.setText(row, 0, ted.getProject()); flexCurrentTable.setText(row, 1, ted.getMilestone()); flexCurrentTable.setText(row, 2, ted.getBillable() "Yes":"No"); flexCurrentTable.setText(row, 3, DateTimeFormat.getShortDateFormat().format(ted.ge tDate())); flexCurrentTable.setText(row, 4, String.valueOf(NumberFormat.getFormat(".00").form at(ted.getHours()))); } } }); } You want to fetch the user s current entries at a couple of different points during the timecard process. First, after the user successfully logs in and is shown the UI, you want to fetch all of his current entries. Add the following code to the bottom of the loadMainUI method. // get the current entries for the user getCurrentEntries();

Constraining the values that can enter a table improves the ease of using a table by ensuring highquality data in a table. For example, by not allowing nulls into some or all columns of a table, your queries for a table do not have to account for the existence of null values. In addition, a PRIMARY KEY constraint for a column guarantees that you cannot have duplicate values in that column of a table. This section presents additional concepts and samples in three areas to help you manage the integrity of the data in your tables. First, you learn about CHECK constraints. This flexible type of constraint can set limits on what specific values and patterns for values are valid for a table. Second, this section presents the syntax and demonstrates solutions for creating constraints that are at the table level instead of being a part of the declaration for a single column. A table-level constraint allows you to manage your data across multiple columns within a table. The third and concluding topic for this section drills down on FOREIGN KEY constraints. Just as a primary key helps to manage data integrity for a single table, a foreign key facilitates the management of data integrity between a pair of tables.

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Figure 4 35. It s your call: centered numbers if you like this sort of thing You see the problem. Enter numbers of varying widths in the same column, center them, and you ll thereby misalign the ones, tens, etc. But remember that alignments, no matter how ornate, won t change the quality of the data. Those numbers above are still numbers, and can be subject to exactly the same mathematical treatment as if they are right-aligned. And while we re at it, the right-align button rams data to the right border of their cells which is the default alignment for numbers, after all. The upper tier of alignment buttons controls a far more exotic set of possibilities vertical alignment in cells (Figure 4 36):

When you write a column CHECK constraint for a specific column, you can limit the range of values and pattern of values for that column The logic behind a CHECK constraint within a column is very simple A Boolean expression specifies a condition for the insertion of values in the column If the condition evaluates to True, the new value is valid If the condition evaluates to False, the new value is invalid Any table can have multiple CHECK constraints When the values in a row are valid for all constraints, SSE inserts the row in a table If one or more values within a row fail to pass a constraint, SSE issues an error message describing the problem for the first failed constraint The error message helps to guide users to refine their input so that it is valid for resubmitting to the table.

Additional resubmittals may uncover other constraints for which the data are not valid There are two syntax conventions for adding a CHECK constraint to a column declaration in a CREATE TABLE statement The easiest way to add a CHECK constraint is to follow the CHECK keyword with a Boolean expression Insert the keyword and expression in the column declaration for which you want to constrain values With this approach, SSE assigns a default name for the constraint that appears in error messages A second approach to declaring a CHECK constraint within a column allows you to assign a custom name for a constraint that will appear in error messages A custom name will define the purpose for a constraint more precisely than the default name that SSE assigns Custom constraint names can make it easier for users to determine how to fix their input so that it is valid.

Figure 4 36. Where to control vertical cell alignment If you need your data to look like this (Figure 4 37):

You can assign a custom name by preceding the CHECK keyword with CONSTRAINT followed by the custom name for the constraint..

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