A good idea in principle. But there are also reasons why it is not a good idea.
Some companies forbid that their company name is on a mailing list in an
OpenSource project. Or that their name is related to OpenSource. Even though
they use OpenSource.
This would exclude those persons, which in
Since you didn't post any concrete information it's hard to give you an advice.
Try to increase the executor memory (spark.executor.memory).
If that doesn't help give all the experts in the community a chance to help you
by adding more details like version, logfile, source etc
Mit
A really good one is vaderSentiment
(https://github.com/cjhutto/vaderSentiment).
regards
Kay-Uwe Moosheimer
Am 28.04.2017 um 12:24 schrieb Alonso Isidoro Roman:
> I forked some time ago a twitter analyzer, but i think the best is to
> provide the original link
>
Dear devs,
is it possible to use Spark 2.0.2 Scala 2.11 and consume messages from
kafka server 0.10.0.2 running on Scala 2.10?
I tried this the last two days by using createDirectStream and can't get
no message out of kafka?!
I'm using HDP 2.5.3 running kafka_2.10-0.10.0.2.5.3.0-37 and Spark
So you mean HBase, Cassandra, Hana, Elasticsearch and so on do not use
idexes?
There might be some very interesting new concepts I've missed?
Could you be more precise?
;-)
Regards,
Uwe
Am 15.08.2016 um 11:59 schrieb Gourav Sengupta:
> The world has moved in from indexes, materialized views,
Hi Gourav,
Kudu (if you mean Apache Kuda, the Cloudera originated project) is a in memory
db with data storage while Parquet is "only" a columnar storage format.
As I understand, Kudu is a BI db to compete with Exasol or Hana (ok ... that's
more a wish :-).
Regards,
Uwe
Mit freundlichen
Hi Mich,
we use NiFi and it's really great.
My company made a architecture blueprint based on NiFi and Spark.
https://www.mysecondway.com/en/BOSON-Architecture
Mit freundlichen Grüßen / best regards
Kay-Uwe Moosheimer
> Am 16.06.2016 um 11:10 schrieb Mich Talebzadeh
I wouldn't expect this either.
Very disappointing...
-Kay-Uwe Moosheimer
> Am 09.02.2016 um 20:53 schrieb Ryan Victory :
>
> Yeah, a little disappointed with this, I wouldn't expect to be sent
> unsolicited mail based on my membership to this list.
>
> -Ryan Victory
>
>>
Hi,
processing time depends on what you are doing with the events.
Increasing the number of partitions could be an idea if you write more messages
to the topic than you read currently via Spark.
Can you write more details?
Mit freundlichen Grüßen / best regards
Kay-Uwe Moosheimer
> Am