Ideally, saving data to external sources should not be any different. give
the write options as stated in the bloga shot, but changing mode to append.
On Sat, Dec 10, 2016 at 8:25 AM, shyla deshpande
wrote:
> Hello all,
>
> Is it possible to Write data from Spark streaming to AWS Redshift?
>
> I
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I had similar experience last week. Even I could not find any error trace.
Later on, I did the following to get rid of the problem:
i) I downgraded to Spark 2.0.0
ii) Decreased the value of maxBins and maxDepth
Additionally, make sure that you set the featureSubsetStrategy as "auto" to
let the al
Hi -
I have a question about log4j while running on spark-submit.
I would like to have spark only show errors when I am running
spark-submit. I would like to accomplish with without having to edit log4j
config file on $SPARK_HOME, is there a way to do this?
I found this and it only works on spar
Hi
I have spent quite some time trying to debug an issue with the Random Forest
algorithm on Spark 2.0.2. The input dataset is relatively large at around
600k rows and 200MB, but I use subsampling to make each tree manageable.
However even with only 1 tree and a low sample rate of 0.05 the job han
Spark job Server(SJS) gives you the ability to have your spark job as a
service. It has features like caching RDD, publish rest APIs to submit
your job and named RDDs. For more info, refer
https://github.com/spark-jobserver/spark-jobserver. Internally SJS too uses
the same spark job submit so it u
Hi,
So far, I ran spark jobs directly using spark-submit options. I have a use
case to use Spark Job server to run the job. I wanted to find out PROS and
CONs of using this job server? If anyone can share it, it will be great.
My jobs usually connected to multiple data sources like Kafka, Custom
r
Hello all,
Is it possible to Write data from Spark streaming to AWS Redshift?
I came across the following article, so looks like it works from a Spark
batch program.
https://databricks.com/blog/2015/10/19/introducing-redshift-data-source-for-spark.html
I want to write to AWS Redshift from Spark
Hi ALL,
I am trying to implement a mlllib spark job, to find the similarity between
documents(for my case is basically home addess).
i believe i cannot use DIMSUM for my use case as, DIMSUM is works well only
with matrix with thin columns and more rows in matrix.
matrix example format, for my us
Hi
I am working on SpqrkSQL using hiveContext (version 1.6.2).
Can someone help me to convert following queries in sparkSQL.
update calls set sample = 'Y' where accnt_call_id in (select accnt_call_id from
samples);
insert into details (accnt_call_id, prdct_cd, prdct_id, dtl_pstn) select
accnt_c
Does anyone know the repository link for the src of
GroupID: org.spark-project.hive
Artifact: 1.2.1.spark
I was able to find
https://github.com/JoshRosen/hive/tree/release-1.2.1-spark2 which is
artifact 1.2.1.spark2 not 1.2.1.spark.
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I'd say unzip your actual assembly jar and verify whether the kafka
consumer classes are 0.10.1 or 0.10.0. We've seen reports of odd
behavior with 0.10.1 classes. Possibly unrelated, but good to
eliminate.
On Fri, Dec 9, 2016 at 10:38 AM, Debasish Ghosh
wrote:
> oops .. it's 0.10.0 .. sorry for
(-dev)
Just configure your log4j.properties in $SPARK_HOME/conf (or set a
custom $SPARK_CONF_DIR for the history server).
On Thu, Dec 8, 2016 at 7:20 PM, John Fang wrote:
> ./start-history-server.sh
> starting org.apache.spark.deploy.history.HistoryServer, logging to
> /home/admin/koala/data/ver
oops .. it's 0.10.0 .. sorry for the confusion ..
On Fri, Dec 9, 2016 at 10:07 PM, Debasish Ghosh
wrote:
> My assembly contains the 0.10.1 classes .. Here are the dependencies
> related to kafka & spark that my assembly has ..
>
> libraryDependencies ++= Seq(
> "org.apache.kafka" % "kaf
My assembly contains the 0.10.1 classes .. Here are the dependencies
related to kafka & spark that my assembly has ..
libraryDependencies ++= Seq(
"org.apache.kafka" % "kafka-streams" % "0.10.0.0",
"org.apache.spark" %% "spark-streaming-kafka-0-10" % spark,
When you say 0.10.1 do you mean broker version only, or does your
assembly contain classes from the 0.10.1 kafka consumer?
On Fri, Dec 9, 2016 at 10:19 AM, debasishg wrote:
> Hello -
>
> I am facing some issues with the following snippet of code that reads from
> Kafka and creates DStream. I am u
Hello -
I am facing some issues with the following snippet of code that reads from
Kafka and creates DStream. I am using KafkaUtils.createDirectStream(..) with
Kafka 0.10.1 and Spark 2.0.1.
// get the data from kafka
val stream: DStream[ConsumerRecord[Array[Byte], (String, String)]] =
KafkaUti
Hello -
I am facing some issues with the following snippet of code that reads from
Kafka and creates DStream. I am using KafkaUtils.createDirectStream(..)
with Kafka 0.10.1 and Spark 2.0.1.
// get the data from kafka
val stream: DStream[ConsumerRecord[Array[Byte], (String, String)]] =
KafkaUtil
That sounds great, please include me so I can get involved.
On Fri, Dec 9, 2016 at 7:39 AM, Marco Mistroni wrote:
> Me too as I spent most of my time writing unit/integ tests pls advise
> on where I can start
> Kr
>
> On 9 Dec 2016 12:15 am, "Miguel Morales" wrote:
>
>> I would be interes
Michael Armbrust's reply:
I would guess Spark 2.3, but maybe sooner maybe later depending on demand.
I created https://issues.apache.org/jira/browse/SPARK-18791 so people can
describe their requirements / stay informed.
---
Lawrence's reply:
Please vote on the issue, people! Would be awesome t
This is a guess but I would bet that most of the time when into the loading of
the data. The second time there are many places this could be cached (either
by spark or even by the OS if you are reading from file).
-Original Message-
From: brccosta [mailto:brunocosta@gmail.com]
Sent
Me too as I spent most of my time writing unit/integ tests pls advise
on where I can start
Kr
On 9 Dec 2016 12:15 am, "Miguel Morales" wrote:
> I would be interested in contributing. Ive created my own library for
> this as well. In my blog post I talk about testing with Spark in RSpec
>
Hi,
Read somewhere that
groupByKey() in RDD disables map-side aggregation as the aggregation
function (appending to a list) does not save any space.
However from my understanding, using something like reduceByKey or
(CombineByKey + a combiner function,) we could reduce the data shuffled
around
Dear guys,
We're performing some tests to evaluate the behavior of transformations and
actions in Spark with Spark SQL. In our tests, first we conceive a simple
dataflow with 2 transformations and 1 action:
LOAD (result: df_1) > SELECT ALL FROM df_1 (result: df_2) > COUNT(df_2)
The execution tim
Hi,
Can anyone please help clarity on how accumulators can be used reliably to
measure error/success/analytical metrics ?
Given below is use case / code snippet that I have.
val amtZero = sc.accumulator(0)
> val amtLarge = sc.accumulator(0)
> val amtNormal = sc.accumulator(0)
> val getAmount = (
Hi Hitesh,
Schema of the table is inferred automatically if you are reading from JSON
file, wherein when you are reading from a text file you will have to
provide a schema for the table you want to create (JSON has schema within
it).
You can create a data frames and register them as tables.
1. In
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