Thread bottleneck due to bug in JSF 1.1 : please help
Hi. We are using JSF 1.1 on a J2EE 1.4 server and have identified a critical a bottleneck because methods of class com.sun.faces.application.ApplicationAssociate are synchronized. This is a bug in JSF 1.1 identified by Sun (http://bugs.sun.com/bugdatabase/view_bug.do?bug_id=6223295) that has apparently been fixed in JSF 1.2.
However, JSF 1.2 requires Servlet 2.5 and JSP 2.1support, and our server is only J2EE 1.4 compatible.
So what can we do ? If you have any ideas, please post.
Thanks.
Fabien Coppens
Actually, I have just tried JSF 1.1_02 and it does seem to solve the thread bottleneck problem. I'll need verification once we get into performance testing, I'll keep you guys posted.
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Hi -
We have an application that is loading tens of thousands of xml messages
into a JMS queue backed by Oracle, and committing every 100. MDB's pick up
from that queue and start their own UserTransactions managing from the
stateless on. We're doing this to achieve execute concurrency in the
container even tho it is a batch application. It also will allow us to
handle near-realtime requests later using the same mechanism. (We know
we're really done with the load by monitoring the number of rows in the JMS
Oracle queue -- are handling poisen messages by starting a UserTransaction
in the MDBs and any that don't work get the container work rolled back, then
written in a new trans to a table with a CLOB.) It's working fine -- but
there is one place where the performance could be improved, I think.
It looks like there is a thread bottleneck. When the 100 transactions are
committed, only about 10 or so MDB's get to fire (about the number that are
in the pool), but after that they wait again until the next commit to handle
another 10 or so. Once the batch client finishes loading his thousands of
messages into the Queue and closes, the MDBs take off at full steam and we
get very good thruput.
So it looks like there is a single (or very few) threads for the JMS server,
and that they give priority to the JMS client doing the load and not to the
MDBs that handle them. Even tho lots are commited, the MDBs only get a
single shot at grabbing a few. Is there a way to tune this so that the
MDBs can get a bigger slice of the pie while the JMS server is loading?
The load seems to hog the JMS server.
Thanks for any help,
- Mark
Bob -
We are 6.1 SP2. Each message is a transaction when it gets inside of the
container. We are committing every 100 because we synchronize a counter in
case we need to restart, which works fine. But even without synchronizing
that counter, the load behavior is the same.
Since we have clustered servers, being able to have a queue and have
multiple MDBs working on these transactions should increase our thruput
because each transaction causes lots of database work to happen with of
course a commit at the end of each unit of work. Also we wanted a
message-based queueing solution for plugging in near-realtime workloads to
the same system.
Even tho the queue and JMS server are defined on one server, the MDBs launch
fine on both clustered app servers. The theory is that two threads (and
possibly several clustered boxes with multiple cpus) can wait on database IO
almost as fast as one can. If the amount of database work is small and you
have one cpu and you commit infrequently, then single-threading is
definitely the way to go as you mention. We'll be doing variations on the
load testing with MDBs very soon with different numbers of MDBs and servers.
Unfortunately our test setup has the clusters defined on a single,
multi-homed box so varying the servers won't be a good test. But we can
easily throttle the MDBs. The MDBs seem to launch so that the same ones
from the pool are launched as soon as there is work available even tho there
are a larger number of them available -- that's good because you can easily
track the workload. There seem to be about five active now at any given
time between the two servers even tho a total of 20 are available.
It's working fine and the performance is currently not an issue, but I was
just questioning the way that the intial load to JMS behaves.
Thanks,
- Mark.
"Bob Lee" <[email protected]> wrote in message
news:B960628D.190E%[email protected]...
> What SP are you using? Why does the client commit every 100 messages? Do
> these 100 messages represent an atomic unit? If so, then why not combine
> them into one message? It sounds to me like there could be some threaded
> code issues here (code as opposed to resource allocation issues).
>
> Also, are the MDB's taking the data and inserting it in a database or
> something? If so, I'd question the value of inserting the data
concurrently.
> Write a simple performance test program to prove this. The first test
should
> insert 1000 records sequentially. The second test can spawn 10 threads
that
> each insert 100 records. If the first tests performs close enough, I'd go
> with a sequential solution as the resource overhead will be a lot lighter
> and the coding can be simpler. Since you're using JMS, you don't have to
> worry about clients blocking each other.
>
> Also, when you write the test, connect to the database directly as opposed
> to accessing a DataSource running in WebLogic in another process. The
> overhead of the excess remote access might affect the results.
>
> Let me know,
> Bob
>
> On 7/20/02 8:57 AM, in article
> r%[email protected], "Mark Cassidy"
> <[email protected]> wrote:
>
> > Hi -
> >
> > We have an application that is loading tens of thousands of xml messages
> > into a JMS queue backed by Oracle, and committing every 100. MDB's
pick up
> > from that queue and start their own UserTransactions managing from the
> > stateless on. We're doing this to achieve execute concurrency in the
> > container even tho it is a batch application. It also will allow us to
> > handle near-realtime requests later using the same mechanism. (We know
> > we're really done with the load by monitoring the number of rows in the
JMS
> > Oracle queue -- are handling poisen messages by starting a
UserTransaction
> > in the MDBs and any that don't work get the container work rolled back,
then
> > written in a new trans to a table with a CLOB.) It's working fine --
but
> > there is one place where the performance could be improved, I think.
> >
> > It looks like there is a thread bottleneck. When the 100 transactions
are
> > committed, only about 10 or so MDB's get to fire (about the number that
are
> > in the pool), but after that they wait again until the next commit to
handle
> > another 10 or so. Once the batch client finishes loading his thousands
of
> > messages into the Queue and closes, the MDBs take off at full steam and
we
> > get very good thruput.
> >
> > So it looks like there is a single (or very few) threads for the JMS
server,
> > and that they give priority to the JMS client doing the load and not to
the
> > MDBs that handle them. Even tho lots are commited, the MDBs only get a
> > single shot at grabbing a few. Is there a way to tune this so that the
> > MDBs can get a bigger slice of the pie while the JMS server is loading?
> > The load seems to hog the JMS server.
> >
> > Thanks for any help,
> > - Mark
> >
> >
> >
>
-
Revision: 5125
Author: [email protected]
Date: 2009-03-02 05:55:42 -0800 (Mon, 02 Mar 2009)
Log Message:
Update excludes.properties file for BlazeDS/trunk to exclude tests due to bugs BLZ-354, BLZ-355, and BLZ-356.
Also exclude JMS tests on WebSphere due to configuration issues on the regression box. This is being tracked by QETOOLS-32 in jira.
Ticket Links:
http://bugs.adobe.com/jira/browse/BLZ-354
http://bugs.adobe.com/jira/browse/BLZ-355
http://bugs.adobe.com/jira/browse/BLZ-356
http://bugs.adobe.com/jira/browse/QETOOLS-32
Modified Paths:
blazeds/trunk/qa/features/excludes.properties -
I am not good at English. But but... please hear my JSF Problem.
<h:form>
<h:inputText id="input1" required="#{true}"/>
<h:message for="input1"/>
<h:inputText id="input2" value="#{testBean.value}">
<f:convertNumber integerOnly="true"/>
</h:inputText>
<h:message for="input2"/>
<h:commandButton/>
</h:form>From browser:
1.Input empty string at input1. (this cause validation error.)
2.Input empty string at input2. (convet to null.)
3.Click commandButton.
I hope:
Display value at input2 is empty string. (My input value is keeped.)
But result is:
Display value at input2 is "#{testBean.value}". (My input value is forgotten...)
In my research:
1.converter converts empty string to null.
2."local value" is set to null.
3.Go to Rnder Response Phase By Input1 validation error.
4.getValue ignore "local value" if it is null and see VE.
Uhh... Why getValue method doesn't see isLocalValueSet?
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faces-config.xml
<managed-bean>
<managed-bean-name>searchBean</managed-bean-name>
<managed-bean-class>com.package.SearchBean</managed-bean-class>
<managed-bean-scope>session</managed-bean-scope>
</managed-bean>
<managed-bean>
<managed-bean-name>detailBean</managed-bean-name>
<managed-bean-class>com.package.DetailBean</managed-bean-class>
<managed-bean-scope>request</managed-bean-scope>
</managed-bean>
public class DetailBean
private String field1;
private String field2;
//Bind the dataTable component to the controller
protected transient UIData dataTable;
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protected transient Object row;
public DetailBean()
super();
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if(dataTable != null)
row = dataTable.getRowData();
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row = dataTable.getRowData();
if(row != null)
Map<String,String> record = (Map<String,String>)row;
setField1(record.get("field1"));
setField2(record.get("field2"));
public String edit()
//do the edit
return "success";
<h:inputText id="field1" value="#{detailBean.field1}" required="true"/>
<h:inputText id="field2Input" value="#{detailBean.field2}"/>
<h:outputText id="field2Text" value="#{detailBean.field2}"/>
<h:inputText id="field2Hidden" value="#{detailBean.field2}"/>
<h:commandLink id="edit" action="#{detailBean.edit}" value="edit"/>
<h:messages errorStyle="color:red" showSummary="true"/> The values from the table are successfully populated and the page is shown with the values:
field1=test1
field2Input=test2
field2Text=test2
field2Hidden=test2when I clear field1 (required) and submit I have the following:
field1=
field2Input=test2
field2Text=
field2Hidden=test2
message about field1 being requiredI would expect field2Text to still retain the value.
Furthermore if I set the field2Text to readonly="true", it, too, does not retain its value. However in both cases once the required field has a value and is submitted, all values show as expected.
My only workaround for this is to set my detailBean session scope, but that avoids the problem. -
Piped streams, data lines and threads - what's the bug?
Please, help!
What is wrong here and what should I do to make it running?
Strictly speaking, one thread becomes blocked (in) and another runs in a short circuit (out).
The code is:
TargetDataLine stdin;
SourceDataLine stdout;
PipedInputStream pipein;
PipedOutputStream pipeout;
public void pipeDirectly() throws Exception {
stdin = AudioSystem.getTargetDataLine(DEFAULT_FORMAT);
stdout = AudioSystem.getSourceDataLine(DEFAULT_FORMAT);
pipein = new PipedInputStream();
pipeout = new PipedOutputStream(pipein);
stdin.open(DEFAULT_FORMAT, 16384);
stdout.open(DEFAULT_FORMAT, 16384);
stdin.start();
stdout.start();
Thread in = new Thread() {
public void run() {
try {
byte[] buffer = new byte[100000];
while (true) {
int avl = stdin.available();
if (avl > 0) {
stdin.read(buffer, 0, avl);
pipeout.write(buffer, 0, avl);
} catch (Exception ex) {
ex.printStackTrace();
throw new RuntimeException(ex);
Thread out = new Thread() {
public void run() {
try {
byte[] buffer = new byte[100000];
while (true) {
int pipeAvl = pipein.available();
int outAvl = stdout.available();
int avl = Math.min(pipeAvl, outAvl);
if (avl > 0) {
int read = pipein.read(buffer, 0, avl);
stdout.write(buffer, 0, read);
} catch (Exception ex) {
ex.printStackTrace();
throw new RuntimeException(ex);
out.start();
in.start();
in.join();
}Thank you!Actually, tried.
There were one or two passes of "in" thread and repeating pipeAvl=0 in "out".
I have watched the thread state (IDE debugger) and realized that these things were called inside "in" thread:
wait():-1; java.lang.Object
awaitSpace():204; java.io.PipedInputStream
receive():161; java.io.PipedOutputStream
write(): 129; java.io.PipedOutputStream
run(): <my method location>
the numbers are actually the number of line from source. -1 is for native method.
Why it behaves like this? I don't understand.
To compare, this code works almost beautifully:
TargetDataLine stdin;
SourceDataLine stdout;
PipedInputStream pipein;
PipedOutputStream pipeout;
public void pipeDirectly() throws Exception {
stdin = AudioSystem.getTargetDataLine(DEFAULT_FORMAT);
stdout = AudioSystem.getSourceDataLine(DEFAULT_FORMAT);
pipein = new PipedInputStream();
pipeout = new PipedOutputStream(pipein);
Thread in = new Thread() {
public void run() {
try {
stdin.open(DEFAULT_FORMAT, 16384);
stdout.open(DEFAULT_FORMAT, 16384);
stdin.start();
stdout.start();
byte[] buf = new byte[100000];
while (true) {
int avl = stdin.available();
stdin.read(buf, 0, avl);
stdout.write(buf, 0, avl);
} catch (Exception ex) {
throw new RuntimeException(ex);
in.start();
in.join();
}Message was edited by:
MaxBuzz
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