leNamePolicy than before was used (window + timing + shards).
>> Then, you can find files that contains the original filenames in
>> windowing-textio/pipe_with_lateness_60s/files-after-distinct. This is the
>> interesting part, because you will find several files with LATE
I am using FileIO and I do observe the drop of pane info information on
Flink runner too. It was mentioned in this thread:
https://www.mail-archive.com/dev@beam.apache.org/msg20186.html
It is a result of different reshuffle expansion for optimisation reasons.
However, I did not observe a data
Problem seems to be incompatibility of Hive's hcatalog version ... What
HCatalogIO expects and what you have on classpath. Beams HCatalogIO is is
compiled agains Hive 2.1, you are packing 1.2.0.
On Mon, Feb 17, 2020 at 7:47 AM Gershi, Noam wrote:
> 2.19.0 did not work also...
>
>
>
Since you are using FlinkRunner, can you try run pipeline with
`--objectReuse=true` if you will see any noticeable difference? If you are
not using the option already off course
On Tue, Jun 4, 2019 at 9:24 PM Rui Wang wrote:
> Sorry I couldn't be more helpful at this moment. Created a JIRA for
gt;
>> 1: https://beam.apache.org/blog/2017/08/16/splittable-do-fn.html
>> 2:
>> https://github.com/apache/beam/blob/2ac5b764e3450798661a97f2b51f2d602feafb23/sdks/java/core/src/main/java/org/apache/beam/sdk/io/FileIO.java#L133
>>
>>
>> On Thu, Mar 14, 2019
Hello,
I wanted to write a Beam code which expands incoming `PCollection<>`,
element wise, by use of existing IO components. Example could be to have a
`PCollection` which will hold arbitrary paths to data and I
want to load them via `HadoopFormatIO.Read` which is of `PTransform>`.
Problem is, I
Hello,
just wanted to check how does Beam KafkaIO behaves when partitions are
added to the topic.
Will they be picked up or ignored during the runtime?
Will they be picked up on restart with state restore?
Thanks,
Jozef
ensions/sql/jdbc/BeamSqlLine.java
> [4]: https://github.com/julianhyde/sqlline
>
> Regards,
> Anton
>
> On Fri, Nov 16, 2018 at 2:03 AM Jozef Vilcek
> wrote:
>
>> Hello,
>>
>> does anyone use or is aware some kind of editor integration options for
>>
Hello,
does anyone use or is aware some kind of editor integration options for
BeamSQL? It would be to enable less technical people to execute SQL or do
data analysis queries conveniently. E.g. like HUE integration for SparkSQL
or similar
Thanks,
Jozef
rkers). Probably we should do something
> > similar for the Flink runner.
> >
> > This needs to be done by the runner, as # of workers is a runner
> > concept; the SDK itself has no concept of workers.
> >
> > On Thu, Oct 25, 2018 at 3:28 AM Jozef Vilcek > &
cify the number of shards in streaming mode?
>
> -Max
>
> On 25.10.18 10:12, Jozef Vilcek wrote:
> > Hm, yes, this makes sense now, but what can be done for my case? I do
> > not want to end up with too many files on disk.
> >
> > I think what I am looking fo
ough keys, the chance
> increases they are equally spread.
>
> This should be similar to what the other Runners do.
>
> On 24.10.18 10:58, Jozef Vilcek wrote:
> >
> > So if I run 5 workers with 50 shards, I end up with:
> >
> > DurationBytes rec
what I ended up doing, when I could not for any reasono rely on kafka
timestamps, but need to parse them form message is:
* have a cusom kafka deserializer which never throws but returns message
which is either a success with parsed data structure plus timestamp or
failure with original kafka
Oct 24, 2018 at 12:28 AM Jozef Vilcek
> wrote:
>
>> cc (dev)
>>
>> I tried to run the example with FlinkRunner in batch mode and received
>> again bad data spread among the workers.
>>
>> When I tried to remove number of shards for batch mode i
,
AfterWatermark.pastEndOfWindow().withEarlyFirings(AfterPane.elementCountAtLeast(1)).withLateFirings(AfterFirst.of(Repeatedly.fo
rever(AfterPane.elementCountAtLeast(1)),
Repeatedly.forever(AfterSynchronizedProcessingTime.pastFirstElementInPane(
On Tue, Oct 23, 2018 at 12:01 PM Jozef Vilcek wrote:
> Hi
)`?
>
> Thanks,
> Max
>
> On 22.10.18 11:57, Jozef Vilcek wrote:
> > Hello,
> >
> > I am having some trouble to get a balanced write via FileIO. Workers at
> > the shuffle side where data per window fire are written to the
> > filesystem receive
I can see it was very recently added...
https://issues.apache.org/jira/browse/BEAM-5372
On Wed, Sep 12, 2018 at 12:54 PM Encho Mishinev
wrote:
> Hello,
>
> I am using Flink runner with Apache Beam 2.6.0. An important configuration
> of Flink is the 'minimum time between checkpoints' parameter
gt; we would need to make sure that all Filesystems support cross-directory
>> rename.
>>
>> On Thu, Jul 26, 2018 at 9:58 AM Lukasz Cwik wrote:
>>
>>> +dev
>>>
>>> On Thu, Jul 26, 2018 at 2:40 AM Jozef Vilcek
>>> wrote:
>>&
Hello,
just came across FileBasedSink.WriteOperation class which does have
moveToOutput() method. Implementation does a Filesystem.copy() instead of
"move". With large files I find it quote no efficient if underlying FS
supports more efficient ways, so I wonder what is the story behind it? Must
.
Instead solution for me is to use custom function with state and timers.
Similar like GroupIntoBatches.ofSize() is doing.
On Sun, Jul 22, 2018 at 6:42 PM Jozef Vilcek wrote:
> Here is a pseudocode (sorry) of what I am doing right now:
>
> PCollection> writtenFiles
ike parquet), one needs an additional step, to
> encode/compress when the specific destination file is done (if you think in
> Hadoop terms, that would be in the "commit" step).
>
>
> On Sun, Jul 22, 2018 at 2:10 PM, Jozef Vilcek
> wrote:
>
>> I looked into Wait.on() b
tried to window it again with different
triggers (no early trigger) and groupBy key, but so far, no luck as it
never yield a collection of files in which were emitted as EARLY in first
window.
On Fri, Jul 20, 2018 at 9:06 PM Raghu Angadi wrote:
> On Fri, Jul 20, 2018 at 2:58 AM Jozef Vil
gt; files to a single file in your own DoFn. This is certainly more code on
> your part, but might be worth it. You can use Wait.on() transoform to run
> your finalizer DoFn right after the window that writes smaller files closes.
>
>
> On Thu, Jul 19, 2018 at 2:43 AM Jozef Vilcek
>
Hey,
I am looking for the advice.
I am trying to do a stream processing with Beam on Flink runtime. Reading
data from Kafka, doing some processing with it which is not important here
and in the same time want to store consumed data to history storage for
archive and reprocessing, which is HDFS.
Hey,
I am using Beam with Flink and want to set `stateBacked` via pipeline
options available here
https://github.com/apache/beam/blob/master/runners/flink/src/main/java/org/apache/beam/runners/flink/FlinkPipelineOptions.java#L120
The property is an abstract class. I was not able to figure out so
to treat the
> metric as if it was an element and compute it donwstream so that it could
> be bound to a window.
>
> Etienne
>
>
>
> Le samedi 02 juin 2018 à 08:01 +0300, Jozef Vilcek a écrit :
>
> Hi Scott,
>
> nothing special about the use-case. Just want
ger strategy which
> captures the report interval you're looking for.
>
> [1] https://s.apache.org/runner_independent_metrics_extraction
>
> On Fri, Jun 1, 2018 at 3:39 AM Jozef Vilcek wrote:
>
>> Hi,
>>
>> I am running a streaming job on flink a
Hi,
I am running a streaming job on flink and want to monitor MIN and MAX
ranges of a metric floating through operator. I did it via
org.apache.beam.sdk.metrics.Distribution
Problem is, that it seems to report only cumulative values. What I would
want instead is discrete report for MIN / MAX
Hello,
is there a way to observe `current watermark` when processing elements of
triggered window?
What I am trying to achieve is, to have on one window quite large late
comer event allowance and I want to log information on how much late behind
the watermark event did came in.
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