Luke Hutchison created FLINK-6024:
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Summary: Need more fine-grained info for "InvalidProgramException:
This type (...) cannot be used as key"
Key: FLINK-6024
URL: https://issues.apache.org/jira/browse/FLINK-6024
If you already have an idea on how to proceed maybe I can try to take care
of issue a PR using commons-csv or whatever library you prefer
On 10 Mar 2017 22:07, "Fabian Hueske" wrote:
Hi Flavio,
Flink's CsvInputFormat was originally meant to be an efficient way to parse
structured text files and
Hi Flavio,
Flink's CsvInputFormat was originally meant to be an efficient way to parse
structured text files and dates back to the very early days of the project
(probably 2011 or so).
It was never meant to be compliant with the RFC specification and initially
didn't support many features like quo
Hi Radu,
there are already several WindowFunction implementations in the Table API
that can help as a reference:
- IncrementalAggregateAllTimeWindowFunction [1]
- IncrementalAggregateAllWindowFunction [2]
- IncrementalAggregateTimeWindowFunction [3]
- IncrementalAggregateTimeWindowFunction [4]
A
Hi all,
I thought I would briefly join this thread to mention some side input
lessons from Apache Beam. My knowledge of Flink is not deep enough,
technically or philosophically, to make any specific recommendations. And I
might just be repeating things that the docs and threads cover, but I hope
i
Thanks Theodore,
I'd vote for
- Offline learning with Streaming API
- Low-latency prediction serving
Some comments...
Online learning
Good to have but my feeling is that it is not a strong requirement (if a
requirement at all) across the industry right now. May become hot in the
future.
Offl
Hi,
I am struggling to move a working implementation from Java to Scala :(...this
is for computing window aggregates (sliding window).
As I am not proficient in Scala I got block in (probably a stupid
error)...maybe someone can help me.
I am trying to create a simple window function to be appl
Hi all,
Thanks Aljoscha for going forward with the side inputs and for the nice
proposal!
I'm also in favor of the implementation with N-ary input (3.) for the
reasons Ventura explained. I'm strongly against managing side inputs at
StreamTask level (2.), as it would create another abstractio
Hi,
could it be that this issue is related to [1]? If so, then it should soon
be fixed.
[1] https://issues.apache.org/jira/browse/FLINK-5949
Cheers,
Till
On Wed, Mar 8, 2017 at 11:50 PM, dschexna wrote:
> I am attempting to run flink / YARN on a secure MapR 5.2 cluster. The
> cluster is secu
Thanks Theo for steering Flink's ML effort here :-)
I'd vote to concentrate on
- Online learning
- Low-latency prediction serving
because of the following reasons:
Online learning:
I agree that this topic is highly researchy and it's not even clear whether
it will ever be of any interest outsi
Hi Roberto,
jpmml looks quite promising and this could be a first step towards the
model serving story. Thus, looking really forward seeing it being open
sourced by you guys :-)
@Katherin, I'm not saying that there is no interest in the community to
work on batch features. However, there is simpl
I am attempting to run flink / YARN on a secure MapR 5.2 cluster. The
cluster is secured using "MapR Native Security", not kerberos.
I did include the MapR zookeeper when building:
opt/apache-maven-3.3.9/bin/mvn clean install -DskipTests -Pvendor-repos
-Dhadoop.version=2.7.0-mapr-1607 -Dzookeepe
Mauro Cortellazzi created FLINK-6023:
Summary: Fix Scala snippet into Process Function (Low-level
Operations) Doc
Key: FLINK-6023
URL: https://issues.apache.org/jira/browse/FLINK-6023
Project: Fli
Thanks for all your input. In order to wrap the discussion up I'd like to
summarize the mentioned points:
The problem of increasing build times and complexity of the project has
been acknowledged. Ideally we would have everything in one repository using
an incremental build tool. Since Maven does
Robert Metzger created FLINK-6022:
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Summary: Improve support for Avro GenericRecord
Key: FLINK-6022
URL: https://issues.apache.org/jira/browse/FLINK-6022
Project: Flink
Issue Type: Improvemen
Hi to all,
I want to discuss with the dev group something about CSV parsing.
Since I started using Flink with CSVs I always faced some little problem
here and there and the new tickets about the CSV parsing seems to confirm
that this part is still problematic.
In my production jobs I gave up using
Patrick Lucas created FLINK-6021:
Summary: Downloads page references "Hadoop 1 version" which isn't
an option
Key: FLINK-6021
URL: https://issues.apache.org/jira/browse/FLINK-6021
Project: Flink
Hey all,
Sorry for the bit late response.
I'd like to work on
- Offline learning with Streaming API
- Low-latency prediction serving
I would drop the batch API ML because of past experience with lack of
support, and online learning because the lack of use-cases.
I completely agree with Kate
Tao Wang created FLINK-6020:
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Summary: Blob Server cannot hanlde multiple job sumits(with same
content) parallelly
Key: FLINK-6020
URL: https://issues.apache.org/jira/browse/FLINK-6020
Project: Flink
Luke Hutchison created FLINK-6019:
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Summary: Some log4j messages do not have a loglevel field set, so
they can't be suppressed
Key: FLINK-6019
URL: https://issues.apache.org/jira/browse/FLINK-6019
Pro
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