Re: Spark Launch programatically - Basics!

We are using the below code for for integration test. You need to wait for the process state. .startApplication( new Listener { override def infoChanged(handle: SparkAppHandle): Unit = { println("*** info changed * ", handle.getAppId, handle.getState)

Custom function cannot be accessed across database

Custom function cannot be accessed across database, example: The registration function json_extract_value is in database A, and A.json_extract_value cannot be called in the database B SessionCatalog.java externalCatalog.getFunction(currentDb, name.funcName) to externalCatalog.getFunction(name.d

streaming of binary files in PySpark

Hi, I want to use Spark Streaming to read the binary files from HDFS. In the documentation, it is mentioned to use binaryRecordStream(directory, recordLength). But I didn't understand what does the record length means?? Does it means the size of the binary file or something else? Regards, Yogesh

Re: Spark Streaming: Custom Receiver OOM consistently

Well there are few things here. 1. What is the Spark Version? 2. You said there is OOM error but what is the cause that appears in the log message or stack trace? OOM can happen for various reasons and JVM usually specifies the cause in the error message. 3. What is the driver and executor memory?

Re: Bizarre UI Behavior after migration

Well, what's happening here is that jobs become "un-finished" - they complete, and then later on pop back into the "Active" section showing a small number of complete/inprogress tasks. In my screenshot, Job #1 completed as normal, and then later on switched back to active with only 92 tasks... it

Re: Spark Streaming: Custom Receiver OOM consistently

thanks Alonso, Sorry, but there are some security reservations. But we can assume the receiver, is equivalent to writing a JMS based custom receiver, where we register a message listener and for each message delivered by JMS will be stored by calling store method of listener. Something like : h

Re: Convert camelCase to snake_case when saving Dataframe/Dataset to parquet?

Cool. Thanks a lot in advance. On Mon, May 22, 2017 at 2:12 PM, Bryan Jeffrey wrote: > Mike, > > I have code to do that. I'll share it tomorrow. > > Get Outlook for Android > > > > > On Mon, May 22, 2017 at 4:53 PM -0400, "Mike Wheeler" < > rotationsymmetr...@gmail.com> w

Re: Convert camelCase to snake_case when saving Dataframe/Dataset to parquet?

Mike, I have code to do that. I'll share it tomorrow. Get Outlook for Android On Mon, May 22, 2017 at 4:53 PM -0400, "Mike Wheeler" wrote: Hi Spark User, For Scala case class, we usually use camelCase (carType) for member fields. However, many data system use snake_cas

Convert camelCase to snake_case when saving Dataframe/Dataset to parquet?

Hi Spark User, For Scala case class, we usually use camelCase (carType) for member fields. However, many data system use snake_case (car_type) for column names. When saving a Dataset of case class to parquet, is there any way to automatically convert camelCase to snake_case (carType -> car_type)?

Re: Bizarre UI Behavior after migration

I believe it shows only the tasks that have actually being executed, if there were tasks with no data, they don't get reported. I might be mistaken, if somebody has a good explanation, would also like to hear. On Fri, May 19, 2017 at 5:45 PM, Miles Crawford wrote: > Hey ya'll, > > Trying to mig

Broadcasted Object is empty in executors.

Hi, I'm using spark 2.1.0 in aws emr. Kryo Serializer. I'm broadcasting a java class : public class NameMatcher { private static final Logger LOG = LoggerFactory.getLogger(NameMatcher.class); private final Splitter splitter; private final SetMultimap itemsByWord; private final Mu

Re: couple naive questions on Spark Structured Streaming

HI Burak, My response is inline. Thanks a lot! On Mon, May 22, 2017 at 9:26 AM, Burak Yavuz wrote: > Hi Kant, > >> >> >> 1. Can we use Spark Structured Streaming for stateless transformations >> just like we would do with DStreams or Spark Structured Streaming is only >> meant for stateful com

Re: Is there a Kafka sink for Spark Structured Streaming

There is an RC here. Please test! http://apache-spark-developers-list.1001551.n3.nabble.com/VOTE-Apache-Spark-2-2-0-RC2-td21497.html On Fri, May 19, 2017 at 4:07 PM, kant kodali wrote: > Hi Patrick, > > I am using 2.1.1 and I tried the above code you sent and I get > > "java.lang.UnsupportedOp

Re: Are tachyon and akka removed from 2.1.1 please

Akka has been replaced by netty in 1.6 Le 22 mai 2017 15:25, "Chin Wei Low" a écrit : > I think akka has been removed since 2.0. > > On 22 May 2017 10:19 pm, "Gene Pang" wrote: > >> Hi, >> >> Tachyon has been renamed to Alluxio. Here is the documentation for >> running Alluxio with Spark >>

Re: couple naive questions on Spark Structured Streaming

Hi Kant, > > > 1. Can we use Spark Structured Streaming for stateless transformations > just like we would do with DStreams or Spark Structured Streaming is only > meant for stateful computations? > Of course you can do stateless transformations. Any map, filter, select, type of transformation is

Re: Rmse recomender system

Hi, Try to use the most popular "recall, precision and F-score" as evaluation metrics for your recommendation system. Improving prediction performance depends on how good the features you use and whether you choose a proper model. It's hard to tell without any more details. _

Re: KMeans Clustering is not Reproducible

Hi Christoph, Take a look at this, you might end up having a similar case: http://www.spark.tc/using-sparks-cache-for-correctness-not-just-performance/ If this is not the case, then I agree with you the kmeans should be partitioning agnostic (although I haven't check the code yet). Best, Anasta

Re: Are tachyon and akka removed from 2.1.1 please

I think akka has been removed since 2.0. On 22 May 2017 10:19 pm, "Gene Pang" wrote: > Hi, > > Tachyon has been renamed to Alluxio. Here is the documentation for > running Alluxio with Spark > . > > Hope this helps, > Gene > >

Re: Are tachyon and akka removed from 2.1.1 please

Hi, Tachyon has been renamed to Alluxio. Here is the documentation for running Alluxio with Spark . Hope this helps, Gene On Sun, May 21, 2017 at 6:15 PM, 萝卜丝炒饭 <1427357...@qq.com> wrote: > HI all, > Iread some paper about sou

KMeans Clustering is not Reproducible

Hi, I’m trying to figure out how to use KMeans in order to achieve reproducible results. I have found that running the same kmeans instance on the same data, with different partitioning will produce different clusterings. Given a simple KMeans run with fixed seed returns different results on th

Spark on Mesos failure, when launching a simple job

I have been trying to learn spark on mesos, but the spark-shell just keeps on ignoring the offers. Here is my setup: All the components are in the same subnet - 1 mesos master on EC2 instance (t2.micro) command: `mesos-master --work_dir=/tmp/abc --hostname=` - 2 mesos agents (each with 4 co