stream-processing
Here are 667 public repositories matching this topic...
-
Updated
Mar 15, 2021
-
Updated
Dec 21, 2020 - Java
-
Updated
Jan 21, 2021 - Python
Given a stream s1 that contains a NULL value:
CREATE STREAM s1 (x INTEGER) ...
INSERT INTO s1 (x) VALUES (null);If that NULL expression is used in an arithmetic operation, the result of the operation will be NULL:
SELECT x + 1 FROM s1 EMIT CHANGES;However, if a NULL literal is used in the same way, an NPE will be thrown:
ksql> SELECT NULL + 1 FROM
-
Updated
Mar 9, 2021
-
Updated
Mar 17, 2021 - Go
Basically, we don't need to have kafka-console-consumer, we have mill instead: https://github.com/ThreeDotsLabs/watermill/tree/master/tools/mill
It would be nice to replace it in all examples.
-
Updated
Mar 18, 2021 - C
-
Updated
May 1, 2019 - C
-
Updated
Dec 8, 2020 - Go
-
Updated
Mar 17, 2021 - Java
-
Updated
Mar 17, 2021
-
Updated
Aug 14, 2020 - Python
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:
- We can't just use
@printflike we have been until now. We need to either include a timestamp in every@printfcall (laborious and error prone) or c
-
Updated
Feb 25, 2021 - Java
-
Updated
Jan 20, 2021 - JavaScript
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
-
Updated
Mar 17, 2021 - Java
-
Updated
Feb 26, 2021 - Scala
-
Updated
Mar 16, 2021 - Java
-
Updated
Mar 29, 2020 - Go
-
Updated
Mar 12, 2021 - Go
-
Updated
Mar 11, 2021 - TypeScript
-
Updated
Mar 31, 2018
-
Updated
Jan 4, 2021 - JavaScript
-
Updated
Sep 16, 2017 - Go
-
Updated
Mar 17, 2021
Improve this page
Add a description, image, and links to the stream-processing topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the stream-processing topic, visit your repo's landing page and select "manage topics."
When run
bazel run --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/hello_world:hello_worldDownloading org_tensorflow will time out.
I want use the pre-downloaded org_tensorflow by putting the tar.gz file in the .cache corresponding directory, but it didn't work.How should I operate it correctly?