dataflow | 易学教程

Get the level of a hierarchy

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问题 I have an array of objects, Where each object has an id and a ParentId property (so they can be arranged in trees). They are in no particular order. Please note that the id 's and parentId 's will not be integers, they will be strings (just wanted to have the sample code cleaner..) There is only one root: lets say its id :1 The data looks like so: data = [ { id:"id-2", parentId:"id-3" }, { id:"id-4", parentId:"2" }, { id:"id-3", parentId:"id-4" }, { id:"id-5", parentId:"id-4" }, { id:"id-6",

Dataflow Programming Languages [closed]

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What is a dataflow programming language? Why use it? And are there any benefits to it? Dan 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. This could be seen as instructions flowing through data (for example, instructions operate on registers which are loaded with data by instructions - the data is static unless the instruction stream moves it). A control flow "if" statement jumps to the correct branch in the instruction stream, but the data does not get

Apache beam windowing: consider late data but emit only one pane

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问题 I would like to emit a single pane when the watermark reaches x minutes past the end of the window. This let's me ensure I handle some late data, but still only emit one pane. I am currently working in java. At the moment I can't find proper solutions to this problem. I could emit a single pane when the watermark reaches the end of the window, but then any late data is dropped. I could emit the pane at the end of the window and then again when I receive late data, however in this case I am

Can datastore input in google dataflow pipeline be processed in a batch of N entries at a time?

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I am trying to execute a dataflow pipeline job which would execute one function on N entries at a time from datastore. In my case this function is sending batch of 100 entries to some REST service as payload. This means that I want to go through all entries from one datastore entity, and send 100 batched entries at once to some outside REST service. My current solution Read input from datastore Create as many keys as there are workers specified in pipeline options (1 worker = 1 key). Group by key, so that we get iterator as output (iterator input in step no.4) Programatically batch users in

Can datastore input in google dataflow pipeline be processed in a batch of N entries at a time?

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问题 I am trying to execute a dataflow pipeline job which would execute one function on N entries at a time from datastore. In my case this function is sending batch of 100 entries to some REST service as payload. This means that I want to go through all entries from one datastore entity, and send 100 batched entries at once to some outside REST service. My current solution Read input from datastore Create as many keys as there are workers specified in pipeline options (1 worker = 1 key). Group by