stream-processing

I figured out a way to get the (x,y,z) data points for each frame from one hand previously. but im not sure how to do that for the new holistic model that they released. I am trying to get the all landmark data points for both hands as well as parts of the chest and face. does anyone know how to extract the holistic landmark data/print it to a text file? or at least give me some directions as to h

There is no technical difficulty to support includeValue option, looks like we are just missing it on the API level.

See SO question

Is your feature request related to a problem? Please describe.

A user requested the ability to map an array into fields where the arrays have some predefined set of values:

Sample Data: 
 - FOO: [{"key":"a", "val":2}, {"key":"b", "val":4}]
 - FOO: [{"key":"b", "val":3}]
 
Sample Output:

| a | b |
|---|---|
| 2 | 4 |
|nul| 3 |

Describe the solution you'd like

Current Behaviour

The flamegraph sorts the siblings in ascending order by frame's name.
The reference to code is here

Expected Behaviour

The siblings should appear in order of their start time.
This can be achieved according to library docs mentioned [here](https://github.com/spiermar/d3-fla

For an implementation of #126 (PostgreSQL driver with SKIP LOCKED), I create a SQL table for each consumer group containing the offsets ready to be consumed. The name for these tables is build by concatenating some prefix, the name of the topic and the name of the consumer group. In some of the test cases in the test suite, UUID are used for both, the topic and the consumer group. Each UUID has

It can be very difficult to piece together a reasonably estimate of a history of events from the current workers logs because none of them have timestamps.

So for that end, I think we should add timestamps to the logs.

This has some cons:

1. We can't just use @printf like we have been until now. We need to either include a timestamp in every @printf call (laborious and error prone) or c

For example, given a simple pipeline such as:

Pipeline p = Pipeline.create();
p.readFrom(TestSources.items("the", "quick", "brown", "fox"))
 .aggregate(aggregator)
 .writeTo(Sinks.logger());

I'd like aggregator to be something requiring a non-serialisable dependency to do its work.

I know I can do this:

Pipeline p = Pipeline.create();
p.readFrom(TestSource