.NET/Java PDF, Tiff, Barcode SDK Library

However, the new updated value of the second row correctly contains the latest value We then run tkprof on the trace file generated by this program (see 1 for details on how to use tkprof) The relevant section from the following tkprof output tells us what the JDBC driver did when we issued the refreshRow() method: select rowid, x from t1 WHERE ( ROWID = :rowid0 OR ROWID = :rowid1 OR ROWID = :rowid2 OR ROWID = :rowid3 OR ROWID = :rowid4 OR ROWID = :rowid5 OR ROWID = :rowid6 ) order by x As you can see, JDBC silently added the pseudo column rowid to obtain the result set when we issued the query When we did a refresh, JDBC issued a query that reselected all seven rows (remember, the fetch size was 7 in our case), starting from the current row, using their rowids.

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In the preceding select, :rowid0 stands for the bind variable with the value of first rowid, :rowid1 stands for the bind variable with the value of second rowid, and so on From the results of this query, the JDBC driver repopulated its cache with the new set of rows..

Let s take a look at the code you ll use from the page s Load event to generate the code for the callback. Remember that earlier you programmed list B to call a function named GetAddress when the list entry changes. Here s the server-side code to programmatically generate that client-side function: this.ClientScript.RegisterClientScriptBlock (this.GetType(), "Callback", "function GetAddress() { " + GetAddressInvocation() + " }", true); And here s the code for GetAddressInvocation, called from the fourth argument in the preceding line of code: private string GetAddressInvocation() { return Page.GetCallbackEventReference (this, "document.all.ddlListB.value", "DisplayAddress", "\"context\""); }

As you saw in 2, F# comes with a useful implementation of some functional programming data structures. Recall that functional data structures are persistent: you can t mutate them, and if you add an element or otherwise modify the collection, you are actually generating a new collection value, perhaps sharing some internal nodes but from the outside appearing as if it is a new value. Table 10-9 summarizes the most important persistent functional data structures that are included in FSharp.Core.dll. It is likely that additional functional data structures will also be added in future F# releases.

As already discussed in 4, different transaction isolation levels affect a transaction s behavior. In particular, recall that when we set the transaction isolation level to SERIALIZABLE, all queries are read such that retrieved data is consistent with respect to the beginning of the transaction. In other words, the answers to all queries are fixed as of the beginning of the transaction. A side effect of this behavior is that in a serializable transaction, if you attempt to update the same row as some other user, you wait until the user commits and then get an error. Let s look at an example. We ll execute the following two statements from two different sessions: alter session set isolation_level=serializable; update emp set sal=1450 where ename='MARTIN'; The first statement alters the current session to set the transaction isolation level to SERIALIZABLE. If we open two windows and execute the preceding two statements, first in window 1 and then in window 2, we will see that the window 2 session hangs, waiting for the window 1 session to commit or roll back. Actions in Window 1: scott@ORA10G> alter session set isolation_level=serializable; Session altered. scott@ORA10G> update emp set sal=1450 where ename='MARTIN'; 1 row updated. Actions in Window 2 (hangs after the second command waiting for the window 1 session to commit or roll back): scott@ORA10G> alter session set isolation_level=serializable; Session altered. scott@ORA10G> update emp set sal=1450 where ename='MARTIN';

Immutable lists implemented using linked lists Immutable sets implemented using trees Immutable maps (dictionaries) implemented using trees Lists generated on demand with each element computed only once