streama | Self hosted streaming media server | Video Utils library
kandi X-RAY | streama Summary
kandi X-RAY | streama Summary
Ever had a huge bookshelf full of shows and movies? Ever wanted to digitalize them, but didn't have a good way of organizing the files? Worry no more! Streama is your own personal Netflix for just such a purpose!.
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Top functions reviewed by kandi - BETA
- Return the language data for this file
- Compile event provider .
- Translates the language for the given language .
- Creates state provider
- RootScope provider .
- Initializes the default HTTPProvider .
- Provides a sanitizer for SVG elements .
- Applies a set of directives to the given node .
- Creates a new URLMatcher factory
- Returns a mock implementation of an http request .
streama Key Features
streama Examples and Code Snippets
Community Discussions
Trending Discussions on streama
QUESTION
I'm using a rxdart ZipStream within my app to combine two streams of incoming bluetooth data. Those streams are used along with "bufferCount" to collect 500 elements each before emitting. Everything works fine so far, but if the stream subscription gets cancelled at some point, there might be a number of elements in those buffers that are omitted after that. I could wait for a "buffer cycle" to complete before cancelling the stream subscription, but as this might take some time depending on the configured sample rate, I wonder if there is a solution to get those buffers as they are even if the number of elements might be less than 500.
Here is some simplified code for explanation:
...ANSWER
Answered 2022-Feb-15 at 14:01So for anyone wondering: As bufferCount is implemented with BufferCountStreamTransformer which extends BackpressureStreamTransformer, there is a dispatchOnClose property that defaults to true. That means if the underlying stream whose emitted elements are buffered is closed, then the remaining elements in that buffer are emitted finally. This also applies to the example above. My fault was to close the stream and to cancel the stream subscription instantly. With awaiting the stream's closing and cancelling the stream subscription afterwards, everything works as expected.
QUESTION
After creating a stream (A), creating another stream (B) and reading stream (B), the reading process stops from the stream (A). How can I solve this problem?
Node.js v14.18.1
...ANSWER
Answered 2021-Dec-03 at 07:17The issue is that as soon as you do this:
QUESTION
There are 2 data streams with timestamp assigned and watermark generator defined as followed.
...ANSWER
Answered 2021-Oct-22 at 19:40A few points:
forBoundedOutOfOrderness[A](Duration.ofSeconds(0))
is unusual. Any out-of-order events will be late. Why not use forMonotonousTimestamps()
?
The records produced by CombineAB
will have timestamps; there's no need to apply assignTimestampsAndWatermarks
to this stream. The timestamp of any records produced by the Collector
is the timestamp of the incoming record.
If you do call assignTimestampsAndWatermarks
on stream C, the incoming watermarks will be filtered out, and you'll need to generate new watermarks.
QUESTION
I have 2 Firestore streams where the 2nd one depends on the 1st one. I want to emit new models that depend on data from both streams.
In pseudocode you can think of it in a following way:
...ANSWER
Answered 2021-Jun-10 at 18:10You can use the rxdart library to combine multiple streams into one stream https://pub.dev/documentation/rxdart/latest/rx/CombineLatestStream-class.html
QUESTION
I'm trying to come up with a solution which involves applying some logic after the join operation to pick one event from streamB
among multiple EventB
s. It would be like a reduce function but it only returns 1 element instead of doing it incrementally. So the end result would be a single (EventA
, EventB
) pair instead of a cross product of 1 EventA
and multiple EventB
.
ANSWER
Answered 2021-Mar-25 at 19:26This could be implemented as a KeyedCoProcessFunction
. You would key both streams by their common key, connect them, and process both streams together.
You can use ListState
to store the events from B (for a given key), and ValueState
for A (again, for a given key). You can use an event time timer to know when the time has come to look through the B events in the ListState, and produce your result. Don't forget to clear the state once you are finished with it.
If you're not familiar with this part of the Flink API, the tutorial on Process Functions should be helpful.
QUESTION
I have the following line in my ~/.bashrc.
...ANSWER
Answered 2021-Jan-25 at 22:17Append streama streamb
to your command.
See: help complete
QUESTION
I know that keyed state belongs to the its key and only current key accesses its state value, other keys can not access to the different key's state value.
I tried to access the state with the same key but in different stream. Is it possible?
If it is not possible then I will have 2 duplicate data?
Not: I need two stream because each of them will have different timewindow and also different implementations.
Here is the example (I know that keyBy(sommething) is the same for both stream operations):
...ANSWER
Answered 2020-Jun-11 at 14:16I tried with your idea to share state between two operators using same key.
QUESTION
I would like to compare to streams, and check if they have 1 or more elements in common (finding 1 is sufficient to stop looking for more). I want to be able to apply this to Streams containing a custom-created class.
For illustration, let's say I have a class that looks like:
...ANSWER
Answered 2020-Nov-23 at 09:27First of all you have to convert your Streams to a Set or List to not get the famous error:
QUESTION
Because I don't know whether my question will be reopened.. here a more precise question.
I have StreamA (containing a product which is produced within a 30 minutes interval) and StreamB (containing measurements from 4 different sensors, producing a measurement every 5 minutes each). These two streams are joined on a common key. StreamC is the result of this join and contains measurementEnrichedProducts.
I have ~15k products and ~250k measurements. Below are the results:
...ANSWER
Answered 2020-Oct-15 at 12:05To answer my own Question, I hope someone can profit from this one too:
I was restarting the application too fast...
When playing with the max.task.idle.ms-property I noticed that the results were stable (same amount every execution) but less than before. After letting the application run for more than 15 minutes (max.task.idle.ms=600000[10minutes]) I received some more results and the number of records in streamC were stable too.
Removing max.task.idle.ms again and waiting long enough lead to the same results.
I suspect the problem occurred due to the out-of-order input data and internal buffers not being filled.
QUESTION
I want to achieve the following behavior in RxJS but could not find a way using the available operators:
- Stream A: Generated by a continuous stream of events (e.g. browser scroll)
- Stream B: Generated by another arbitrary event (e.g. some kind of user input)
- When B emits a value, I want to pause the processing of A, until a specified amount of time has passed. All values emitted by A in this timeframe are thrown away.
- When B emits another value during this interval, the interval is reset.
- After the interval has passed, the emitted values of A are no longer filtered.
ANSWER
Answered 2020-Oct-04 at 13:54I think this would be an approach:
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