stream

问题 I kept getting errors while compiling. I have no idea how to use the list generated integers and display it into the jButtons after clicking. public static void Random () { int Rand [] = new int [49]; for (int b = 0; b < 49; b++) Rand [b] = b; List<Integer> alist = Arrays.stream(Rand) .boxed() .map (x -> x + 1) .collect (Collectors.toList()); Collections.shuffle(alist); } private class HandleTextField implements ActionListener { @Override public void actionPerformed(ActionEvent event) { for

问题 We currently do a real-time aggregation of data in an event-store. The idea is to visualize transaction data for multiple time ranges (monthly, weekly, daily, hourly) and for multiple nominal keys. We regularly have late data, so we need to account for that. Furthermore the requirement is to display "running" results, that is value of the current window even before it is complete. Currently we are using Kafka and Apache Storm (specifically Trident i.e. microbatches) to do this. Our

问题 We currently do a real-time aggregation of data in an event-store. The idea is to visualize transaction data for multiple time ranges (monthly, weekly, daily, hourly) and for multiple nominal keys. We regularly have late data, so we need to account for that. Furthermore the requirement is to display "running" results, that is value of the current window even before it is complete. Currently we are using Kafka and Apache Storm (specifically Trident i.e. microbatches) to do this. Our

问题 We currently do a real-time aggregation of data in an event-store. The idea is to visualize transaction data for multiple time ranges (monthly, weekly, daily, hourly) and for multiple nominal keys. We regularly have late data, so we need to account for that. Furthermore the requirement is to display "running" results, that is value of the current window even before it is complete. Currently we are using Kafka and Apache Storm (specifically Trident i.e. microbatches) to do this. Our

问题 I am working on a Spring-MVC application in which I am trying to stream mp3 data. Unfortunately, it's directly triggering a download whenever a byte-array of information is sent in response. I found a few other links, but most of them are tied to an user-interface, so not much useful. What are the requirements for streaming a mp3 file? Here is the download code I have. @RequestMapping(value = "/getsong/{token}") public ResponseEntity<byte[]> getsong(@PathVariable("token") String token,

问题 I’m trying to use Akka streams to build a pub sub bus in the following way: Publisher adds a source stream for the topic and subscribers specify a topic and get everything for that topic. However topic may be published by multiple Publishers, and both publisher and subscribers can join at any point. What I had in mind is to combine all sources and then return the filtered source to a subscriber. However as publishers may join at any point sources may be added after a subscription has been

问题 I’m trying to use Akka streams to build a pub sub bus in the following way: Publisher adds a source stream for the topic and subscribers specify a topic and get everything for that topic. However topic may be published by multiple Publishers, and both publisher and subscribers can join at any point. What I had in mind is to combine all sources and then return the filtered source to a subscriber. However as publishers may join at any point sources may be added after a subscription has been

问题 I am setting up a subscription service to send reports to various people in our company on a schedule. I plan to email the reports, the reporting system I am using is able to export as PDF stream (rather than writing temp files). Most people will receive more than one report so I am trying to attach them all to one email doing something like List<Stream> reports = new List<Stream>(); //looping code for each users set of reports Stream stream = ReportSource.ReportDocument.ExportToStream

问题 I am setting up a subscription service to send reports to various people in our company on a schedule. I plan to email the reports, the reporting system I am using is able to export as PDF stream (rather than writing temp files). Most people will receive more than one report so I am trying to attach them all to one email doing something like List<Stream> reports = new List<Stream>(); //looping code for each users set of reports Stream stream = ReportSource.ReportDocument.ExportToStream

问题 Consider the following code: StreamBuilder<QuerySnapshot> _createDataStream(){ return StreamBuilder<QuerySnapshot>( stream: Firestore.instance.collection("data").limit.(_myLimit).snapshots(), builder: (context, snapshot){ return Text(_myLimit.toString); } ); } I want that the StreamBuilder refreshes when the _myLimit Variable changes. It's possible doing it like this: void _incrementLimit(){ setState(() =>_myLimit++); } My Question is if there is another, faster way, except the setState((){})