system to make the
executing ordered?
Such updating logic seems not functional programming, correct?
Thanks a lot
prosp4300
Please see below link for the ways available
https://spark.apache.org/docs/1.3.1/sql-programming-guide.html#performance-tuning
For example, reduce spark.sql.shuffle.partitions from 200 to 10 could
improve the performance significantly
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Hi, bdev
Derby is the default embedded DB for Hive MetaStore if you do not specify a
hive.metastore.uris, please take a look at the lib directory of hive, you can
find out derby jar there, Spark does not require derby by default
At 2015-07-07 17:07:28, "bdev" wrote:
>Just trying to get sta
Each time you run the jar, a new JVM will be started, maintain connection
between different JVM is not a correct way to think of
> each time when I run that jar it tries to make connection with hive metastore
At 2015-07-07 17:07:06, "wazza" wrote:
>Hi I am new to Apache Spark and I have t
Seems what Feynman mentioned is the source code instead of documentation,
vectorMean is private, see
https://github.com/apache/spark/blob/v1.3.0/mllib/src/main/scala/org/apache/spark/mllib/clustering/GaussianMixture.scala
At 2015-07-09 10:10:58, "诺铁" wrote:
thanks, I understand now.
but I c
As mentioned in Spark sQL programming guide, Spark SQL support Hive UDFs,
please take a look below builtin UDFs of Hive, get day of year should be as
simply as existing RDBMS
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+UDF#LanguageManualUDF-DateFunctions
At 2015-07-09 12:
What's the result of "list jar" in both 1.3.1 and 1.4.0, please check if there
is any difference
At 2015-07-15 08:10:44, "ogoh" wrote:
>Hello,
>I am using SparkSQL along with ThriftServer so that we can access using Hive
>queries.
>With Spark 1.3.1, I can register UDF function. But, Spark
Congratulations!
在 2016-07-27 14:00:22，"Reynold Xin" 写道：
Hi all,
Apache Spark 2.0.0 is the first release of Spark 2.x line. It includes 2500+
patches from 300+ contributors.
To download Spark 2.0, head over to the download page:
http://spark.apache.org/downloads.html
To view the releas
Thanks for this immediate correction :)
在 2016-07-27 15:17:54，"Gourav Sengupta" 写道：
Sorry,
in my email above I was referring to KUDU, and there is goes how can KUDU be
right if it is mentioned in forums first with a wrong spelling. Its got a
difficult beginning where people were trying to
Additionally, in the paragraph about MLlib, three links missed, it is better to
provide the links to give us more information, thanks a lot
See this blog post for details
See this talk to learn more
This talk lists many of these new features.
在 2016-07-27 15:18:41，"Ofir Manor" 写道：
Hold the
The page mentioned before is the release notes that miss the links
http://spark.apache.org/releases/spark-release-2-0-0.html#mllib
At 2016-07-27 15:56:00, "prosp4300" wrote:
Additionally, in the paragraph about MLlib, three links missed, it is better to
provide the links to gi
Looks like a classpath problem, if you can provide the command you used to run
your application and environment variable SPARK_HOME, it will help others to
identify the root problem
在2015年11月20日 18:59，Satish 写道:
Hi Michael,
As my current Spark version is 1.4.0 than why it error out as "error:
ng JDBCRDD
I tried couple of DataFrame related methods for which most of them errors
stating that method has been overloaded
Please let me know if any further inputs needed to analyze it
Regards,
Satish Chandra
On Fri, Nov 20, 2015 at 5:46 PM, prosp4300 wrote:
Looks like a classpath problem
Hi,
I want to know how you coalesce the partition to one to improve the performance
Thanks
在2015年08月11日 23:31，Al M 写道:
I am using DataFrames with Spark 1.4.1. I really like DataFrames but the
partitioning makes no sense to me.
I am loading lots of very small files and joining them together.
The answer is simply NO,
But I hope someone could give more deep insight or any meaningful reference
在2015年08月19日 15:21，Todd 写道:
I don't find related talk on whether spark sql supports column indexing. If it
does, is there guide how to do it? Thanks.
By the way turn off the code generation could be an option to try, sometime
code generation could introduce slowness
在2015年09月11日 15:58，Cheng, Hao 写道:
Can you confirm if the query really run in the cluster mode? Not the local
mode. Can you print the call stack of the executor when the query
Spark on Yarn by default support customized log4j configuration,
RollingFileAppender could be used to avoid disk overflow as documented below
If you need a reference to the proper location to put log files in the YARN so
that YARN can properly display and aggregate them, use
spark.yarn.app.co
The way to use Kryo serializer is similar as Scala, like below, the only
different is lack of convenient method "conf.registerKryoClasses", but it
should be easy to make one by yourself
conf=SparkConf()
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
conf.set("spark.kr
Hi, Spark Users
As I know, Spray Client depends on Akka ActorSystem, is this dependency
theoretically means it is not possible to use spray-client in Spark Job which
run from Spark Executor nodes
I believe PlayWS should works as a Restful client to run from Spark Executor,
how about traditiona
Hi, Spark Users
I'm play with spark metric monitoring, and want to add a custom sink which is
HttpSink that send the metric through Restful API
A subclass of Sink "org.apache.spark.metrics.sink.HttpSink" is created and
packaged within application jar
It works for driver instance, but once en
ystem
>classpath; the application jar is not in the system classpath, so that
>does not work. There are different ways for you to get it there, most
>of them manual (YARN is, I think, the only RM supported in Spark where
>the application itself can do it).
>
>On Thu, Dec 20, 2018
Looks no obvious relationship between the partition or tables, maybe try make
them in different jobs, so they could run at same time to fully make use of the
cluster resource.
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