If code is delivered to a stream will it have any impact on another stream which has the same component.
eg :
stream 1
Comp 1 - baseline 1
Stream 2
Comp 1- baseline 1
If a create a repo workpace out of stream 2 and make code changes and deliver to Stream 2 will the change be available in stream 1.
Are the components same or two different copies?
Are the components same or two different copies?
They are the same component.
But each stream only display the LATEST changesets delivered for that component.
That means delivering new change sets on Stream2 (and making a new baseline) has no effect on the same component on Stream1.
Related
I am using two msp430f5529 with booster pack(trf7970a),I'm making one module to work in special direct mode(as per sloa214,SDM is used to transmit data) and another one module to work in Direct Mode1(DM1) to receive transmitted data from module one. But I'm not able to receive any data.
Below is my tx code.
Mifare_SDM_config();
Mifare_SDM_Enter();
Mifare_SDM_Transmit((unsigned int*)tx_buff,10,1); //here 1 is parity bit
Mifare_SDM_Exit();
and my receiver code.
//Entering DM1 Mifare_DM1_Enter();
Mifare_DM1_Recieve(rx_buff,rx_len,1);//here 1 is parity bit
Mifare_DM1_Exit();
am I missing anything?
for example, 16 cameras, only one GPU on a server, maybe at most init 4 graph to decode,inference, than encode. So every 1 graph need to process 4 video streams. but I didn't find any config like camera_id or source_id yet in mediapipe.
While I was doing some testing in a Redis stream, I added a value into it with a high ID.
XADD mystream 9999999999999999-1 field value
Now I've found that this is the stream's top item, and trying to add anything with an automatic ID gets me
9999999999999999-2
Trying to add a stream with any ID lower than this results in an error:
(error) ERR The ID specified in XADD is equal or smaller than the target stream top item
I can just reset the stream back to my previous save of it, though I'm curious if there's any way to undo this action otherwise or reset the stream top item ID.
//assume following logic
val source = arrayOf(1,2,3,4,5,6,7,8,9,10,11,12) // total 12 elements
val env = StreamExecutionEnvironment.createLocalEnvironment(1);
val input = env.fromCollection(source)
.countWindowAll(5)
.aggregate(...) // pack them to List<Int> for bulk upload to DB
.addSink(...) // sends bulk
When i execute it - only first 10 processed, but rest 2 elements
are thrown away - flink shutdown without processing of them.
The only avoid for me - while i totally controll source data, i can push some well-known IGNORABLE_VALUES to source collection to fit window size and then ignore them in sink... but i think where is some far more professional way in flink.
You have a finite stream of 12 and a window that triggers for every 5 elements. So the first window gets 5 elements and then triggers, then the next 5 are received and it triggers, but the last 2 come and the job knows that no more are going to come. So since there aren't 5 elements in the window the trigger doesn't fire so nothing is done with them.
In beanstalkd
telnet localhost 11300
USING foo
put 0 100 120 5
hello
INSERTED 1
How can I know what is the priority of this job when I reserve it? And can I release it by making the new priority equals to current priority +100?
Beanstalkd doesn't return the priority with the data - but you could easily add it as metadata in your own message body. for example, with Json as a message wrapper:
{'priority':100,'timestamp':1302642381,'job':'download http://example.com/'}
The next message that will be reserved will be the next available entry from the selected tubes, according to priority and time - subject to any delay that you had requested when you originally sent the message to the queue.
Addition: You can get the priority of a beanstalk job (as well as a number of other pieces of information, such as how many times it has previously been reserved), but it's an additional call - to the stats-job command. Called with the jobId, it returns about a dozen different pieces of information. See the protocol document, and your libraries docs.