work queue

The work queue is generally implemented as some sort of linked list with an associated monitor object.

If the source adapter agent is a bottleneck, events will build up in the work queue that the agent is monitoring.

The optimum size of a thread pool depends on the number of processors available and the nature of the tasks on the work queue.

The column WUQue reports only the number of requests taken from the service class work queue that are bound to the server region.

The work queue depth is the number of replications waiting to be processed by the cluster replicator.

Locks that are mostly contended are the "hot" locks in an application, such as the locks that guard the shared work queue for a thread pool.

As the work_struct indicates the handler function to use, you can use the work queue to queue work for a variety of handlers.

The work to be communicated through the work queue is defined by the work_struct structure.

The fork-join framework reduces contention for the work queue by using a technique known as work stealing.

If the object is already on the work queue, it will not be added a second time, but an exception will not be thrown either.

Tasks from a work queue, like the incoming responses thread from our example.

It also provides for a work-queue based working style, where an administrator can transfer work items among groups.

In the panel shown in Figure 11, there are two servant regions bound to the same service class work queue, CBDEF.

These functions (shown in Listing 8) mimic those from Listing 7, except that you don't need to define the work queue structure.

Finally, Query also includes the option to constrain a search to a particular container (folder or work queue).

Let's now continue with a simple example of the work queue API.

Source adapter agent - Source adapters are configured to monitor an incoming work queue and pass incoming events to the server.

Each work item is then initialized with INIT_WORK, the work defined, and then enqueued onto the work queue with a call to queue_work.

For the former, the Gearman work queue remains in memory but is backed by a relational database.

The PooledExecutor class from this package is an efficient, widely used, correct implementation of a thread pool based on a work queue.

The Activities act like a work queue, where work is assigned and completed.

The schedule is a work queue of objects to serialize, and is held inside the formatter.

The dispatcher uses secured messages in the work queue as source files and creates unsecured message copies.

The work queue API is slightly more complicated that tasklets, primarily because a number of options are supported.

The following class is a model of a common concurrent utility: a work queue.

All work on a given work queue can be completed using a call to flush_workqueue.

Any shared objects (such as the work queue and work item statuses) are managed (and effectively synchronized) by the Terracotta server.

A new request comes in and stays in the new service class work queue.

First, simply enqueue the work on a work queue using queue_work (which ties the work to the current CPU).

The number of outstanding messages in the Work Queue.

When multiple replicators are used, the cluster replication queue and work queue depth times are reduced.

The work queue mechanism is inherited from the WLM queuing manager service.

You can use a global kernel-global work queue, with four functions that address this work queue.

Associate data and reference objects with each other that are in the work queue at startup.

Recall from Figure 3 that the core structure for the work queue is the queue itself.

Before the request is processed by the servant region, it's put inside the WLM work queue.

The work queue API provides three functions to initialize work (from an allocated buffer); see Listing 6.

To flush the kernel-global work queue, call flush_scheduled_work.

The work queue maintains a reference to each message for which the MTA is responsible.

Each fan-out copy references the secured message in the MTA work queue.

Listing 1 shows an example of a simple pooled work queue.

It then creates a pointer for each. Dat file in the work queue.

At the core is the work queue (struct workqueue_struct), which is the structure onto which work is placed.

A job can be executed on any work queue at any time, but once started, it will fully occupy the work queue until finish.

READPAST is primarily used to reduce locking contention when implementing a work queue that uses a SQL Server table.

Messages in the MTA work queue are named secured messages, because they are always saved in. Dat files.

This is not the MTA work queue (DB000028. Dat).

Thus, if the Gearman daemon fails, it can recreate the work queue on restart.

DB000027. Dat This is the MTA work queue that contains a list of messages waiting for transfer.

Work Queue The Exchange MTA writes all messages to. Dat files in the MTA database directory on the file system.

For example, the MTA rebuilds the MTA work queue each time the MTA is restarted.

Listing 10 is your init_module function, which begins with creation of the work queue using the create_workqueue API function.