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374 lines
12 KiB
Markdown
374 lines
12 KiB
Markdown
---
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title: Threads
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...
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# Threads
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GStreamer is inherently multi-threaded, and is fully thread-safe. Most
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threading internals are hidden from the application, which should make
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application development easier. However, in some cases, applications may
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want to have influence on some parts of those. GStreamer allows
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applications to force the use of multiple threads over some parts of a
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pipeline. See [When would you want to force a
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thread?](#when-would-you-want-to-force-a-thread).
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GStreamer can also notify you when threads are created so that you can
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configure things such as the thread priority or the threadpool to use.
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See [Configuring Threads in
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GStreamer](#configuring-threads-in-gstreamer).
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## Scheduling in GStreamer
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Each element in the GStreamer pipeline decides how it is going to be
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scheduled. Elements can choose if their pads are to be scheduled
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push-based or pull-based. An element can, for example, choose to start a
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thread to start pulling from the sink pad or/and start pushing on the
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source pad. An element can also choose to use the upstream or downstream
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thread for its data processing in push and pull mode respectively.
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GStreamer does not pose any restrictions on how the element chooses to
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be scheduled. See the Plugin Writer Guide for more details.
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What will happen in any case is that some elements will start a thread
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for their data processing, called the “streaming threads”. The streaming
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threads, or `GstTask` objects, are created from a `GstTaskPool` when the
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element needs to make a streaming thread. In the next section we see how
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we can receive notifications of the tasks and pools.
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## Configuring Threads in GStreamer
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A `STREAM_STATUS` message is posted on the bus to inform you about the
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status of the streaming threads. You will get the following information
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from the message:
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- When a new thread is about to be created, you will be notified of
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this with a `GST_STREAM_STATUS_TYPE_CREATE` type. It is then
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possible to configure a `GstTaskPool` in the `GstTask`. The custom
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taskpool will provide custom threads for the task to implement the
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streaming threads.
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This message needs to be handled synchronously if you want to
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configure a custom taskpool. If you don't configure the taskpool on
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the task when this message returns, the task will use its default
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pool.
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- When a thread is entered or left. This is the moment where you could
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configure thread priorities. You also get a notification when a
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thread is destroyed.
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- You get messages when the thread starts, pauses and stops. This
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could be used to visualize the status of streaming threads in a gui
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application.
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We will now look at some examples in the next sections.
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### Boost priority of a thread
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```
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.----------. .----------.
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| fakesrc | | fakesink |
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| src->sink |
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'----------' '----------'
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```
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Let's look at the simple pipeline above. We would like to boost the
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priority of the streaming thread. It will be the fakesrc element that
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starts the streaming thread for generating the fake data pushing them to
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the peer fakesink. The flow for changing the priority would go like
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this:
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- When going from `READY` to `PAUSED` state, fakesrc will require a
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streaming thread for pushing data into the fakesink. It will post a
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`STREAM_STATUS` message indicating its requirement for a streaming
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thread.
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- The application will react to the `STREAM_STATUS` messages with a
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sync bus handler. It will then configure a custom `GstTaskPool` on
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the `GstTask` inside the message. The custom taskpool is responsible
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for creating the threads. In this example we will make a thread with
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a higher priority.
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- Alternatively, since the sync message is called in the thread
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context, you can use thread `ENTER`/`LEAVE` notifications to change the
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priority or scheduling policy of the current thread.
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In a first step we need to implement a custom `GstTaskPool` that we can
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configure on the task. Below is the implementation of a `GstTaskPool`
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subclass that uses pthreads to create a `SCHED_RR` real-time thread. Note
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that creating real-time threads might require extra privileges.
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``` c
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#include <pthread.h>
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typedef struct
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{
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pthread_t thread;
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} TestRTId;
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G_DEFINE_TYPE (TestRTPool, test_rt_pool, GST_TYPE_TASK_POOL);
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static void
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default_prepare (GstTaskPool * pool, GError ** error)
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{
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/* we don't do anything here. We could construct a pool of threads here that
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* we could reuse later but we don't */
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}
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static void
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default_cleanup (GstTaskPool * pool)
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{
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}
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static gpointer
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default_push (GstTaskPool * pool, GstTaskPoolFunction func, gpointer data,
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GError ** error)
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{
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TestRTId *tid;
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gint res;
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pthread_attr_t attr;
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struct sched_param param;
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tid = g_slice_new0 (TestRTId);
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pthread_attr_init (&attr);
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if ((res = pthread_attr_setschedpolicy (&attr, SCHED_RR)) != 0)
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g_warning ("setschedpolicy: failure: %p", g_strerror (res));
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param.sched_priority = 50;
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if ((res = pthread_attr_setschedparam (&attr, ¶m)) != 0)
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g_warning ("setschedparam: failure: %p", g_strerror (res));
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if ((res = pthread_attr_setinheritsched (&attr, PTHREAD_EXPLICIT_SCHED)) != 0)
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g_warning ("setinheritsched: failure: %p", g_strerror (res));
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res = pthread_create (&tid->thread, &attr, (void *(*)(void *)) func, data);
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if (res != 0) {
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g_set_error (error, G_THREAD_ERROR, G_THREAD_ERROR_AGAIN,
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"Error creating thread: %s", g_strerror (res));
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g_slice_free (TestRTId, tid);
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tid = NULL;
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}
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return tid;
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}
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static void
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default_join (GstTaskPool * pool, gpointer id)
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{
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TestRTId *tid = (TestRTId *) id;
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pthread_join (tid->thread, NULL);
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g_slice_free (TestRTId, tid);
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}
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static void
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test_rt_pool_class_init (TestRTPoolClass * klass)
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{
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GstTaskPoolClass *gsttaskpool_class;
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gsttaskpool_class = (GstTaskPoolClass *) klass;
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gsttaskpool_class->prepare = default_prepare;
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gsttaskpool_class->cleanup = default_cleanup;
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gsttaskpool_class->push = default_push;
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gsttaskpool_class->join = default_join;
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}
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static void
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test_rt_pool_init (TestRTPool * pool)
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{
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}
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GstTaskPool *
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test_rt_pool_new (void)
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{
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GstTaskPool *pool;
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pool = g_object_new (TEST_TYPE_RT_POOL, NULL);
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return pool;
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}
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```
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The important function to implement when writing an taskpool is the
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“push” function. The implementation should start a thread that calls
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the given function. More involved implementations might want to keep
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some threads around in a pool because creating and destroying threads is
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not always the fastest operation.
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In a next step we need to actually configure the custom taskpool when
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the fakesrc needs it. For this we intercept the `STREAM_STATUS` messages
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with a sync handler.
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``` c
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static GMainLoop* loop;
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static void
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on_stream_status (GstBus *bus,
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GstMessage *message,
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gpointer user_data)
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{
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GstStreamStatusType type;
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GstElement *owner;
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const GValue *val;
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GstTask *task = NULL;
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gst_message_parse_stream_status (message, &type, &owner);
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val = gst_message_get_stream_status_object (message);
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/* see if we know how to deal with this object */
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if (G_VALUE_TYPE (val) == GST_TYPE_TASK) {
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task = g_value_get_object (val);
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}
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switch (type) {
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case GST_STREAM_STATUS_TYPE_CREATE:
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if (task) {
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GstTaskPool *pool;
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pool = test_rt_pool_new();
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gst_task_set_pool (task, pool);
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}
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break;
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default:
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break;
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}
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}
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static void
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on_error (GstBus *bus,
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GstMessage *message,
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gpointer user_data)
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{
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g_message ("received ERROR");
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g_main_loop_quit (loop);
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}
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static void
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on_eos (GstBus *bus,
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GstMessage *message,
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gpointer user_data)
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{
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g_main_loop_quit (loop);
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}
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int
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main (int argc, char *argv[])
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{
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GstElement *bin, *fakesrc, *fakesink;
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GstBus *bus;
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GstStateChangeReturn ret;
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gst_init (&argc, &argv);
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/* create a new bin to hold the elements */
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bin = gst_pipeline_new ("pipeline");
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g_assert (bin);
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/* create a source */
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fakesrc = gst_element_factory_make ("fakesrc", "fakesrc");
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g_assert (fakesrc);
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g_object_set (fakesrc, "num-buffers", 50, NULL);
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/* and a sink */
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fakesink = gst_element_factory_make ("fakesink", "fakesink");
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g_assert (fakesink);
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/* add objects to the main pipeline */
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gst_bin_add_many (GST_BIN (bin), fakesrc, fakesink, NULL);
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/* link the elements */
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gst_element_link (fakesrc, fakesink);
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loop = g_main_loop_new (NULL, FALSE);
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/* get the bus, we need to install a sync handler */
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bus = gst_pipeline_get_bus (GST_PIPELINE (bin));
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gst_bus_enable_sync_message_emission (bus);
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gst_bus_add_signal_watch (bus);
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g_signal_connect (bus, "sync-message::stream-status",
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(GCallback) on_stream_status, NULL);
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g_signal_connect (bus, "message::error",
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(GCallback) on_error, NULL);
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g_signal_connect (bus, "message::eos",
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(GCallback) on_eos, NULL);
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/* start playing */
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ret = gst_element_set_state (bin, GST_STATE_PLAYING);
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if (ret != GST_STATE_CHANGE_SUCCESS) {
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g_message ("failed to change state");
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return -1;
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}
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/* Run event loop listening for bus messages until EOS or ERROR */
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g_main_loop_run (loop);
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/* stop the bin */
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gst_element_set_state (bin, GST_STATE_NULL);
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gst_object_unref (bus);
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g_main_loop_unref (loop);
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return 0;
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}
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```
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Note that this program likely needs root permissions in order to create
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real-time threads. When the thread can't be created, the state change
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function will fail, which we catch in the application above.
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When there are multiple threads in the pipeline, you will receive
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multiple `STREAM_STATUS` messages. You should use the owner of the
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message, which is likely the pad or the element that starts the thread,
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to figure out what the function of this thread is in the context of the
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application.
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## When would you want to force a thread?
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We have seen that threads are created by elements but it is also
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possible to insert elements in the pipeline for the sole purpose of
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forcing a new thread in the pipeline.
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There are several reasons to force the use of threads. However, for
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performance reasons, you never want to use one thread for every element
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out there, since that will create some overhead. Let's now list some
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situations where threads can be particularly useful:
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- Data buffering, for example when dealing with network streams or
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when recording data from a live stream such as a video or audio
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card. Short hickups elsewhere in the pipeline will not cause data
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loss. See also [Stream buffering][stream-buffering] about network
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buffering with queue2.
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![Data buffering, from a networked
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source](images/thread-buffering.png "fig:")
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- Synchronizing output devices, e.g. when playing a stream containing
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both video and audio data. By using threads for both outputs, they
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will run independently and their synchronization will be better.
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![Synchronizing audio and video
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sinks](images/thread-synchronizing.png "fig:")
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Above, we've mentioned the “queue” element several times now. A queue is
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the thread boundary element through which you can force the use of
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threads. It does so by using a classic provider/consumer model as
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learned in threading classes at universities all around the world. By
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doing this, it acts both as a means to make data throughput between
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threads threadsafe, and it can also act as a buffer. Queues have several
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`GObject` properties to be configured for specific uses. For example,
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you can set lower and upper thresholds for the element. If there's less
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data than the lower threshold (default: disabled), it will block output.
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If there's more data than the upper threshold, it will block input or
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(if configured to do so) drop data.
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To use a queue (and therefore force the use of two distinct threads in
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the pipeline), one can simply create a “queue” element and put this in
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as part of the pipeline. GStreamer will take care of all threading
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details internally.
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[stream-buffering]: application-development/advanced/buffering.md#stream-buffering
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