dataflow

问题 What do you mean by low latency access of data? I am actually confused about the definition of the term " LATENCY " . Can anyone please elaborate the term "Latency". 回答1: Latency - The time it takes to access data. Bandwidth - How much data you can get. The classic example: A wagon full of backup tapes is high latency, high bandwidth. There's a lot of information in those backup tapes, but it takes a long time for a wagon to get anywhere. Low latency networks are important for streaming

问题 I have a bunch of text files (~1M) stored on google cloud storage. When I read these files into Google Cloud DataFlow pipeline for processing, I always get the following error: Total size of the BoundedSource objects returned by BoundedSource.split() operation is larger than the allowable limit The trouble shooting page says: You might encounter this error if you're reading from a very large number of files via TextIO, AvroIO or some other file-based source. The particular limit depends on

问题 I have done a lot of research to figure out how a DFG can be created for an application from its source code. There are DFG's available online for certain applications such as MP3 Decoder, JPEG compression and H.263 Decoder. I haven't been able to figure out how I can create a DFG for an application such as HEVC from its source code? Are there any tools which can instantly generate data flow graphs for such elaborate applications or does it have to be done manually? Please advise me regarding

问题 I have done a lot of research to figure out how a DFG can be created for an application from its source code. There are DFG's available online for certain applications such as MP3 Decoder, JPEG compression and H.263 Decoder. I haven't been able to figure out how I can create a DFG for an application such as HEVC from its source code? Are there any tools which can instantly generate data flow graphs for such elaborate applications or does it have to be done manually? Please advise me regarding

问题 My problem is the following: I have some python classes that have properties that are derived from other properties; and those should be cached once they are calculated, and the cached results should be invalidated each time the base properties are changed. I could do it manually, but it seems quite difficult to maintain if the number of properties grows. So I would like to have something like Makefile rules inside my objects to automatically keep track of what needs to be recalculated. The

问题 This is short code sample to quickly introduce you what is my question about: using System; using System.Linq; using System.Threading.Tasks; using System.Threading.Tasks.Dataflow; namespace DataflowTest { class Program { static void Main(string[] args) { var firstBlock = new TransformBlock<int, int>(x => x, new ExecutionDataflowBlockOptions { MaxDegreeOfParallelism = 4 }); var secondBlock = new TransformBlock<int,string>(async x => { if (x == 12) { await Task.Delay(5000); return $"{DateTime

问题 This is short code sample to quickly introduce you what is my question about: using System; using System.Linq; using System.Threading.Tasks; using System.Threading.Tasks.Dataflow; namespace DataflowTest { class Program { static void Main(string[] args) { var firstBlock = new TransformBlock<int, int>(x => x, new ExecutionDataflowBlockOptions { MaxDegreeOfParallelism = 4 }); var secondBlock = new TransformBlock<int,string>(async x => { if (x == 12) { await Task.Delay(5000); return $"{DateTime

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 5 years ago . What is a dataflow programming language? Why use it? And are there any benefits to it? 回答1: In a control flow language, you have a stream of instructions which operate on external data. Conditional execution, jumps and procedure calls change the instruction stream to be executed.

问题 I'm new to C# TPL and DataFlow and I'm struggling to work out how to implement the TPL DataFlow TransformManyBlock . I'm translating some other code into DataFlow. My (simplified) original code was something like this: private IEnumerable<byte[]> ExtractFromByteStream(Byte[] byteStream) { yield return byteStream; // Plus operations on the array } And in another method I would call it like this: foreach (byte[] myByteArray in ExtractFromByteStream(byteStream)) { // Do stuff with myByteArray }

问题 Let's say I have two data sources in SSIS. Table A has 10 rows and two of the columns are empty. Table B has 20 rows with two columns each. I want to somehow join them in an ETL process in a specific way: for each row of table A, 20 rows are generated with the values for the two columns from table B. This way 200 rows should be generated with every possible combination of the rows from tables A and B I tried using Merge Join and Union pieces, but they won't work... Any ideas how to fix this?