As Spark uses micro-batch for streaming, it's unavoidable to adjust the
batch size properly to achieve your expectation of throughput vs latency.
Especially, Spark uses global watermark which doesn't propagate (change)
during micro-batch, you'd want to make the batch relatively small to make
waterm
Let me share the Ipython notebook.
On Tue, Jun 30, 2020 at 11:18 AM Gourav Sengupta
wrote:
> Hi,
>
> I think that the notebook clearly demonstrates that setting the
> inferTimestamp option to False does not really help.
>
> Is it really impossible for you to show how your own data can be loaded?
That is not how you unsubscribe. See here for instructions:
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On Tue, Jun 30, 2020 at 1:31 PM Bartłomiej Niemienionek <
b.niemienio...@gmail.com> wrote:
>
Hi,
I think that the notebook clearly demonstrates that setting the
inferTimestamp option to False does not really help.
Is it really impossible for you to show how your own data can be loaded? It
should be simple, just open the notebook and see why the exact code you
have given does not work, an
Hii team,
I am working on spark on kubernetes and was working on a scenario where i
need to use spark on kubernetes in client mode from jupyter notebook from
two different kubernetes cluster . Is it possible in client mode to spin up
driver in one k8 cluster and executors in another k8 cluster .
While running my Spark (Stateful) Structured Streaming job I am setting
'maxOffsetsPerTrigger' value to 10 Million. I've noticed that messages are
processed faster if I use a large value for this property.
What I am also noticing is that until the batch is completely processed, no
messages are get
Then it should permission issue. What kind of cluster is it and which user
is running it ? Does that user have hdfs permissions to access the folder
where the jar file is ?
On Mon, Jun 29, 2020 at 1:17 AM Bryan Jeffrey
wrote:
> Srinivas,
>
> Interestingly, I did have the metrics jar packaged as
This is more a question about spark-xml, which is not part of Spark.
You can ask at https://github.com/databricks/spark-xml/ but if you do
please show some example of the XML input and schema and output.
On Tue, Jun 30, 2020 at 11:39 AM mars76 wrote:
>
> Hi,
>
> I am trying to read XML data fro
Hi,
I am trying to read XML data from a Kafka topic and using XmlReader to
convert the RDD[String] into a DataFrame conforming to predefined Schema.
One issue i am running into is after saving the final Data Frame to AVRO
format most of the elements data is showing up in avro files. How ever
Hi Gourav,
Please check the comments of the ticket, looks like the performance degradation
is attributed to inferTimestamp option that is true by default (I have no idea
why) in Spark 3.0. This forces Spark to scan entire text and so the poor
performance.
Regards
Sanjeev
> On Jun 30, 2020, at
Hi, Sanjeev,
I think that I did precisely that, can you please download my ipython
notebook and have a look, and let me know where I am going wrong. its
attached with the JIRA ticket.
Regards,
Gourav Sengupta
On Tue, Jun 30, 2020 at 1:42 PM Sanjeev Mishra
wrote:
> There are total 11 files as
This should only be needed if the spark.eventLog.enabled property was set
to true. Is it possible the job configuration is different between your
two environments?
On Mon, Jun 29, 2020 at 9:21 AM ArtemisDev wrote:
> While launching a spark job from Zeppelin against a standalone spark
> cluster
There are total 11 files as part of tar. You will have to untar it to get to
actual files (.json.gz)
No, I am getting
Count: 33447
spark.time(spark.read.json(“/data/small-anon/"))
Time taken: 431 ms
res73: org.apache.spark.sql.DataFrame = [created: bigint, id: string ... 2 more
fields]
scala>
Hi Sanjeev,
that just gives 11 records from the sample that you have loaded to the JIRA
tickets is it correct?
Regards,
Gourav Sengupta
On Tue, Jun 30, 2020 at 1:25 PM Sanjeev Mishra
wrote:
> There is not much code, I am just using spark-shell and reading the data
> like so
>
> spark.time(spar
There is not much code, I am just using spark-shell and reading the data like so
spark.time(spark.read.json("/data/small-anon/"))
> On Jun 30, 2020, at 3:53 AM, Gourav Sengupta
> wrote:
>
> Hi Sanjeev,
>
> can you share the exact code that you are using to read the JSON files?
> Currently I
Good morning,
I hope this email finds you well.
I am the host for an on-going series of live webinars/virtual meetups and the
next 2 weeks are focused on Apache Spark, I was wondering if you could share
within your group?
It’s free to sign up and there will be live Q&A throughout the presentat
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