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Then the default download of the framework, such as the NetBeans IDE, can stop including the API That doesn t mean that the API is deleted completely: it can still be available for download, though the default distribution doesn t need to include it anymore This is another sign to those who might not have migrated to the new version yet that it s the right time to do so Despite that, they are not forced to do so: they have the option of downloading the compatibility bridge A reasonable runtime container should be able to do the download automatically as needed, completely shielding the application from the incompatibilities the framework might provide By using technologies such as this, you can achieve complete compatibility and still guarantee a lot of freedom in the evolution of the APIs, including the ability to remove an API s pieces.

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The query starts by using the WITH clause to name a subquery with an alias in an out-of-order fashion. The subquery is then referenced with an alias, in this case SALESDAYS. The SALESDAYS subquery calculates two fields. First, it uses the EXTRACT function to return the numeric day value from the ORDER_DATE date field, and labels this data as NEXT_SALE. The lag OLAP function is then used to calculate the number for the day in the month (again using the EXTRACT method) of the ORDER_DATE of the preceding row in the results, which becomes the PREV_SALE result value. This makes more sense when you visualize the output of just the subquery select statement select extract(day from order_date) next_sale, lag(extract(day from order_date),1,0) over (order by extract(day from order_date)) prev_sale from oe.orders where order_date between '01-NOV-1999' and '30-NOV-1999' The results would look like this if executed independently. NEXT_SALE PREV_SALE ---------- ---------1 0 10 1 10 10 10 10 14 10 14 14 15 14 19 15 Starting with the anchor value of 0 in the lag, we see the day of the month for a sale as NEXT_SALE, and the day of the previous sale as PREV_SALE. You can probably already visually spot the gaps, but it s much easier to let Oracle do that for you too. This is where our outer query does its very simple arithmetic. The driving query over the SALESDAYS subquery selects the PREV_SALE and NEXT_SALE values from the results, based on this predicate.

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where next_sale - prev_sale > 1 We know the days of sales are consecutive if they re out by more than one day. We wrap up by ordering the results by the PREV_SALE column, so that we get a natural ordering from start of month to end of month. Our query could have been written the traditional way, with the subquery in the FROM clause like this. select prev_sale, next_sale from (select extract(day from order_date) next_sale, lag(extract(day from order_date),1,0) over (order by extract(day from order_date)) prev_sale from oe.orders where order_date between '01-NOV-1999' and '30-NOV-1999') where next_sale - prev_sale > 1 order by prev_sale / The approach to take is largely a question of style and readability. We prefer the WITH approach on those occasions where it greatly increases the readability of your SQL statements.

The NetBeans project uses this approach and it has proven itself successful We are able to treat our APIs like diamonds, while throwing the parts that turn out to be fakes into the trash..

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// Assign your event handler mainMenu.miFileOpen.Click += new System.EventHandler(this.miFileOpen_Click); mainMenu.miFileClose.Click += new System.EventHandler(this.miFileClose_Click); mainMenu.miFileExit.Click += new System.EventHandler(this.miFileExit_Click); } public void miFileOpen_Click(object sender, System.EventArgs e) { // Implementation goes here MyDialog dlgFileOpen = new MyDialog("File Open"); dlgFileOpen.ShowDialog(); if (dlgFileOpen.ChoseOpen) { Console.Out.WriteLine(dlgFileOpen.txtRssURL.Text); } } public void miFileClose_Click(object sender, System.EventArgs e) { // Implementation goes here } public void miFileExit_Click(object sender, System.EventArgs e) { // Implementation goes here Console.Out.WriteLine("File Exit clicked"); this.Close(); } }

Querying data from Oracle tables is probably the most common task you will perform as a developer or data analyst, and maybe even as a DBA though probably not as the ETL (Extraction, Transformation, and Loading) tool expert Quite often, you may query only one table for a small subset of rows, but sooner or later you will have to join multiple tables together That s the beauty of a relational database, where the access paths to the data are not fixed: you can join tables that have common columns, or even tables that do not have common columns (at your own peril!).

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