Hi Aljoscha,
I found the root cause of my problem from this reference
https://stackoverflow.com/questions/18151072/cant-find-resource-file-after-exporting-to-a-runnable-jar
.
So I changed the way to use ParameterTool. I read the configurations from
InputStream, construct them as argument format
Hi Peter,
I think what you referred is typical amendment process where partial or all
results need to modified. I think it is definitely interesting topic! Here is
my two cents
In ideal world, reference data source can ingest updated used values as events
and join with buffered events in
hi,
We are building an ETL style application in Flink that consumes records from a
file or a message bus as a DataStream. We are transforming records using SQL
and UDFs. The UDF loads reference data in the open method and currently the
data loaded remains in memory until the job is cancelled.
Hi,
I have a data stream resulting from an operation executed on a data stream
of data.
Essentially I want to obtain two different streams from that one to send
their to different cassandra tables.
I.e.:
datastream 0 composed by Tuple3
I want to have:
a datastream 1 composed
A bit late to this discussion, but I wanted to reiterate something that
others also said. Side input readiness, and blocking until that is the
case, is an important feature. This is specially true when the side input
is used as a configuration stream. You don't want the main stream to be
Hi,
as per the mail subject I wanted to ask you if a State access (read and
write) is synchronized.
I have the following stream:
val airtrafficEvents = stream
.keyBy(_.flightInfo.flight)
.map(new UpdateIdFunction())
where UpdateIdFunction is a RichMapFunction with a ValueState and a
MapState,
Hi All,
I'm running a streaming job on flink 1.3.2 with few queryable states. There
are 3 task managers and a job manager. I'm getting timeout exception when
trying to query a state and also a warning message in the job manager log.
*Client:*
final Configuration config = new Configuration();
Sorry my bad, figured out it was a change done at our end which created
different keys. Thanks.
On Fri, Sep 8, 2017 at 5:32 PM, Navneeth Krishnan
wrote:
> Hi,
>
> I'm experiencing a wired issue where any data put into map state when
> retrieved with the same key is
Hi,
i have read this snip of code again and again, but i cant understand the
usage of it , can anyone explain it for me. thank you very much.
public void advanceWatermark(long time) throws Exception {
currentWatermark = time;
InternalTimer timer;
Hi,
You are right, i have proved that the backpressure will increase the
latency,and in have another question, now the value of the latency is not
Visualization in the dashboard,is there any plan to do this, i have add this
by remove the other operator and only keep the source -> end latency and
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