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Often you ll find that applications typically batch processes designed to execute serially will look something like the following procedure: Create procedure process_data As Begin For x in ( select * from some_table ) Perform complex process on X Update some other table, or insert the record somewhere else End loop end In this case, Oracle s parallel query or PDML won t help a bit (in fact, parallel execution of the SQL by Oracle here would likely only cause the database to consume more resources and take longer). If Oracle were to execute the simple SELECT * FROM SOME_TABLE in parallel, it would provide this algorithm no apparent increase in speed whatsoever. If Oracle were to perform in parallel the UPDATE or INSERT after the complex process, it would have no positive affect (it is a single-row UPDATE/INSERT, after all). There is one obvious thing you could do here: use array processing for the UPDATE/INSERT after the complex process. However, that isn t going to give you a 50 percent reduction or more in runtime, which is often what you re looking for. Don t get me wrong, you definitely want to implement array processing for the modifications here, but it won t make this process run two, three, four, or more times faster.

Now, suppose this process runs at night on a machine with four CPUs, and it is the only activity taking place. You have observed that only one CPU is partially used on this system, and the disk system is not being used very much at all. Further, this process is taking hours, and every day it takes a little longer as more data is added. You need to reduce the runtime dramatically it needs to run four or eight times faster so incremental percentage increases will not be sufficient. What can you do There are two approaches you can take. One approach is to implement a parallel pipelined function, whereby Oracle will decide on appropriate degrees of parallelism (assuming you have opted for that, which would be recommended). Oracle will create the sessions, coordinate them, and run them, very much like the previous example with parallel DDL where, by using CREATE TABLE AS SELECT or INSERT /*+APPEND*/, Oracle fully automated parallel direct path loads for us. The other approach is DIY parallelism. We ll take a look at both approaches in the sections that follow.

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the NTP peers for whom the messages were intended would be able to detect that the messages were modified and consequently reject them. After all, the correct UTC time is not a big secret that must be carefully guarded from intruders, but depriving intruders of the ability to alter the correct time on critical network devices can prevent big problems! On the other hand, there might be those unique NTP deployments where an incorrect but synchronized time on a network is intentional, in which case preventing potential intruders from viewing NTP messages might assume greater importance. Effectively, cryptographic authentication allows hosts to trust their peers and consider them as legitimate rather than as deliberate or accidental intruders. While the cryptographic authentication process is deemed to be very secure, poor key management procedures and/or the lack of scalability in key distribution could compromise and diminish the value of this security antidote. Keys falling into the hands of intruders would allow them to pose as legitimate NTP servers and mount a variety of attacks. And the inability to distribute keys securely and in a scalable manner negates the very value of having the cryptographic authentication feature available within NTP. The symmetric (private) key cryptography is an optional feature in NTPv3, but most vendors implement it. The evolving NTPv4 also supports the private key cryptography in addition to offering an even more robust security via the Autokey protocol.

One or more objects that reference each other An object that can be directly retrieved from the database; each object graph has exactly one root object An object that is only retrieved from the database as part of another object (its parent) An object that contains child objects (a parent may also be a root) An object that implements public read-write properties, or methods that allow manipulation of data; editable objects can be retrieved and saved to the database; these may be root, parent, or child objects An object that implements only read-only properties and does not expose methods that allow manipulation of data; read-only objects can be retrieved from the database but not saved; these may be root, parent, or child objects An object that contains other objects; may be editable or read-only; may be a root or child but is always a parent An object that contains criteria or key information necessary to identify and create, retrieve, or delete another object

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