Most efficient way to get document names?

I was wondering what is the most efficient way to get the document names in a container? Use the built in 'name' index somehow, or is there an 'efficient' XPath/XQuery?
We've been using the XPath /* which is fine with small instances, but causes a java heap out of member error on large XML instances i.e. /* gets everything which is not ideal when all we want are document names.
Thx in advance,
Ant

Hi Antony,
Here is an example for retrieving the document names on c++:
void doQuery(XmlContainer &container,
XmlQueryContext &context,
const std::string &XPath)
XmlResults results(container.queryWithXPath(0, XPath, &context));
// Iterate through the result set as is normal
XmlDocument theDocument;
while(results.next(theDocument))
std::cout << "Found document named: "
<< theDocument.getName() << std::endl;
Regards,
Bogdan Coman

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Most efficient way to get a connection from a defined connection -pool [whole message]

Having recently load-tested the application we are developing I noticed that
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try {
Context jndiCntx = new InitialContext();
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In other parts of the code, not developed by the same team, I've seen the
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The first version took a total of 75724ms for a total of 7224 calls which
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The second version took a total of 8127ms for 11662 calls which gives
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I'm no JDBC guru som i'm probably missing something vital here. One
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Apart from the obvious performance-differences in the two above approaches,
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Linus Nikander wrote:
Thank you for both your replies. As per your suggestions I've improved my
connectionhandling (I ended up implementing the Service Locator pattern as a
matter of fact).
One thing still puzzles me though. Which (and why) is the "proper" way to
fetch the actual dataSource. As I stated before in the code I've seen two
approaches within the code I've got.
1. myDs = myServiceLocator.getDataSource("jdbc:weblogic:jts:FTPool");
2. myDs = myServiceLocator.getDataSource("java:comp/env/jdbc/tgsDB");
where getDataSource does a dataSource = (DataSource)
initialContext.lookup(dataSourceName); dataSourceName being the input-string
obviously.
tgsDB is defined as
<reference-descriptor>
<resource-description>
<res-ref-name>jdbc/tgsDB</res-ref-name>
<jndi-name>tgs-dataSource</jndi-name>
</resource-description>
</reference-descriptor>
in weblogic-ejb-jar.xml
From what I can understand by your answer, you don't recommend using the
JNDI-lookup way of getting the connection at all ?Correct.
The service locator that
I implemented will still perform a JNDI lookup, but only once. Will the fact
that I'm talking to an RMI-object anyway significantly impact performance
(when compared to you non-jndi-method) ?In some cases, for earlier 7.0s, maybe yes. For the very latest, it shouldn't
hurt.
>
>
In my two examples above. If i use version 1. How will the server know
whether to give me a TX-bound connection and when not to ? In version 1
FTPool maps to a pool with both TX and non-TX datasources. In version 2.
tgsDB maps directly to a TX-dataSource.
I might be asking a lot of strange questions, probably because I'm just
getting the hang of all the resource-reference issues that EJBs are
associated with.Bear with me ;)
//Linus
"Joseph Weinstein" <[email protected]> wrote in message
news:[email protected]...
Hi. As Jon said, the lookups are redundant. Because you showed that otherway,
I will infer that this code is always being run in serverside code. Good.I will give you
a third way which is much better than either of the ones you showed. Thefirst method
you showed has a problem for all but the latest sps, your jdbc objectswill all be
going through an unnecessary level of indirection because you are gettingan rmi jdbc
object which talks to the jts driver object.
The second, faster method you showed also has a serious problem! Oneshould
never call DriverManager methods in multithreaded JDBC programs becauseall
DriverManager calls are class-synchronized, including some small internalones like
DriverManager.println(), which all JDBC drivers and even the constructorfor
SQLException call, so one slow getConnection() call can inadvertantly haltall other
JDBC being done in the whole JVM! Also, for JVMs that have lots of jdbcdrivers
registered, DriverManager is inefficient because it simply sends your URLand
properties to every driver it has registered until it finds one thatdoesn't throw an
exception and returns a connection.
Here's the fastest way:
// do once and reuse driver object everywhere. Can be used by multiplethreads
Driver d =(Driver)Class.forName("weblogic.jdbc.jts.Driver").newInstance();
Then, whenever you want a connection:
public myJDBCMethod()
Connection c = null; // always a method level object
try {
c = d.connect("jdbc:weblogic:jts:FTPool", null);
... do all the jdbc for the method...
c.close();
c = null;
catch (Exception e) {
... do whatever, if needed...
finally {
// close connection regardless of failure or exit path
if (c != null) try {c.close();}catch (Exception ignore){}
Joe
Linus Nikander wrote:
Having recently load-tested the application we are developing I noticed
that
one of the most expensive (time-wise) calls was my fetch of adb-connection
from the defined db-pool. At present I fetch my connections using :
private Connection getConnection() throws SQLException {
try {
Context jndiCntx = new InitialContext();
DataSource ds =
(DataSource)
jndiCntx.lookup("java:comp/env/jdbc/txDatasource");
return ds.getConnection();
} catch (NamingException ne) {
myLog.error(this.makeSQLInsertable("getConnection - couldnot
find connection"));
throw new EJBException(ne);
In other parts of the code, not developed by the same team, I've seenthe
same task accomplished by :
private Connection getConnection() throws SQLException {
return DriverManager.getConnection("jdbc:weblogic:jts:FTPool");
From the performance-measurements I made the latter seems to be muchmore
efficient (time-wise). To give you some metrics:
The first version took a total of 75724ms for a total of 7224 callswhich
gives ~ 11ms/call
The second version took a total of 8127ms for 11662 calls which gives
~0,7ms/call
I'm no JDBC guru som i'm probably missing something vital here. One
suspicion I have is that the second call first find the jdbc-pool andafter
that makes the very same (DataSource)
jndiCntx.lookup("java:comp/env/jdbc/txDatasource") in order to fetch the
actual connection anyway. If that is true then my comparison is plainwrong
since one call is part of the second. If not, then the second versionsure
seems a lot faster.
Apart from the obvious performance-differences in the two aboveapproaches,
is there any other difference one should be aware of(transaction-context
for instance) between the two ? Basically I'm working in anEJB-environment
on weblogic 7.0 and looking for the most efficient way to get hold of a
db-connection in code. Comments anyone ?
//Linus Nikander - [email protected]

Just got girlfriend a new iPad2. Her iMac is a PowerPC G5 (Tiger version 10.4.11) with 512 mb RAM. What's the simplest, most efficient way to get her iPad2 up and running and synced to her Mac?

Just got girlfriend a new iPad2. Her iMac is a PowerPC G5 (Tiger version 10.4.11) with 512 mb RAM. What's the simplest, most efficient way to get her iPad2 up and running and synced to her Mac?

Most of the Apple store sales people and some of the genius bar people are only knowledgable on Apple's more recent offerings. They are not very knowledgable, I found, on older PowerPC based Apple computers, I'm afraid.
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OS X 10.6 Snow Leopard and OS X10.7 Lion are for newer Intel CPU Apple computers.
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Although, I was disappointed I would not be able to do this with my G4 Mac, it's not a biggie problem for me.
So, your girlfriend's computer should be fine for what she intends to use it for.
The Apple people either just plain didn't know or we're trying to get you to think about buying a new Mac.
At least, as of now, not truly necessary.
If Apple, at some later point, drops support for PowerPC users running 10.5, then would be the time to consider a new or "newer" Intel CPU Mac.
My planned Mac computer upgrade is seeking out a " newer" last version G5 for my "new" Mac.
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TIA!

addendum to previous post.
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Modified and expanded example
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I know this sounds dumb, but I am flummoxed about how to organise filing of folders on my Mac. In the real world filing is easy but computers seem to make it completely different & a nightmare.
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- thanks!
regards,
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> May I ask for what reason you need to know it?
I need to handle very large XML document output, which currently hits the internal xmltype limitation of 4GByte, when aggregating XML document fragments for this.
> You'll get a relevant answer if you give us relevant information :
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SELECT * FROM PRODUCT_COMPONENT_VERSION;
product
version
status
1
NLSRTL
11.2.0.3.0
Production
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Oracle Database 11g Enterprise Edition
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11.2.0.3.0
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But when I opened the target p'style the Tabs area was completely blank.
I'm not sure if anything else wasn't making it 'cross the Paste Divide: Once the Tabs weren't Pasted, I fell back to a different, brute-force strategy simply to get around the problem and return to work...
Moreover, since the structured templates I inherited for this project are full of idiosyncrasies, I'll just file this one away under "The Templates Did It" and hope for better luck the next time I try the Copy Special thing...
Cheers & thanks for your help,
Riley

Most efficient way to make an ordered list?

Hi all,
I have a simulation where I have agents running around in an environment. These agents need to get the closest agent near them, and they have to do this a whole bunch of times each cycle -- closest predator to them, closest prey, closest mate, next-closest mate if that one isn't interested, etc. etc.
I realized that it would be faster if I just got all the agents in the vicinity ONCE, kept them in a sorted list, and then everytime you want the closest agent of a certain type, just search from the bottom of the list up until you find the first one of that type.
So here's the question: to make that list, I ask the environment for all the agents in the vicinity, and then go through them one-by-one. I find out the distance between myself and that agent. I then.... what?
I could put them all into an ArrayList, and then apply some sorting algorithm to that ArrayList. Or I can try to insert them in the right order WHILE I'm making the ArrayList. Or maybe there's some better Collection object that would be even more efficient -- somehow pushing them in and out of stacks, or whatever else smart programmers think up.
Can anyone suggest the most efficient way to do this? This is something that every agent has to do every step, so efficiency is key.
Thanks!
Edit: As a note, calculating the distance between two agents isn't free, and if I either sort or insert as I'm making it, the naive implementation (i.e. the way I would do it...) would require re-checking this distance for every agent in the list every single time a new agent was added. So maybe I could make some use of a HashMap, so that I can store these distances?
Edited by: TimQuinn on Oct 15, 2009 9:35 AM

TimQuinn wrote:
Ok, thanks for all the great suggestions. I think that caching the distance in a wrapper object is a big plus, and then I can run some tests and see if using a built-in collections sorting algorithm or using a treeset is faster in my specific case. Thanks!
Any thoughts as to the idea of creating one giant map of the distance from each agent to every other agent just once, rather than having each agent work out their own distances to each other agent? I feel like this would be faster (at the expense of memory), but don't know how I'd start approaching it.Well, your idea of the Map would probably work. You would have to make some object that pairs up two agents, something like this:
public class AgentPair {
   private final Agent a1, a2;
   public AgentPair(Agent a1, Agent a2) { //...
   public boolean equals(Object other) {
      //if distance is a symmetric operation (a.distanceTo(b) == b.distanceTo(a)) then the reverse pair should also be equal
   public int hashCode() {
      return 37*a1.hashCode() + a2.hashCode();
}This assumes either that you don't override equals or hashCode in Agent, or that you properly override both.
Then you would have a map that you can populate, given an array of all agents:
Map<AgentPair, Double> distMap;
Agent[] agents;
for ( int i = 0; i < agents.length-1; i++ ) {
   for ( int j = i; j < agents.length; j++ ) {
      distMap.put(new AgentPair(agents, agents[j]), agents[i].distanceTo(agents[j]));
}Alternatively, if you're not sure you'll definitely use all of the computations, you could alternatively test to see if the computation result is in the map, and if not, perform it; otherwise, use the cached result.
Any thoughts? Should I make a new post? Abandon the idea?As always, try it and see. Essentially, it will be faster assuming these two conditions:
1) You would have to do more than n ^2^ (well actually n choose 2) distance calculations otherwise, and
2) Computing the distance costs more than retrieving from distMap (this +isn't+ a given!). If each Agent had a sequential ID, you could do a two-dimensional array of doubles which would speed up lookups.
Edited by: endasil on 15-Oct-2009 3:39 PM

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