after blowing away my m2 repo cache; i was able to build just fine... i
dont know why; but now it works :-)
On Sun, May 19, 2019 at 10:22 PM Bulldog20630405
wrote:
> i am trying to build spark 2.4.3 with the following env:
>
>- fedora 29
>- 1.8.0_202
>- spark 2.4.3
>- scala 2.11.
i am trying to build spark 2.4.3 with the following env:
- fedora 29
- 1.8.0_202
- spark 2.4.3
- scala 2.11.12
- maven 3.5.4
- hadoop 2.6.5
according to the documentation this can be done with the following commands:
*export TERM=xterm-color*
*./build/mvn -Pyarn -DskipTests clea
Response to the 1st approach:
When you do spark.read.text("/xyz/a/b/filename") it returns a DataFrame and
when applying the rdd methods gives you a RDD[Row], so when you use map,
your function get Row as the parameter i.e; ip in your code. Therefore you
must use the Row methods to access its membe
1st Approach:
error : value split is not a member of org.apache.spark.sql.Row?
val newRdd = spark.read.text("/xyz/a/b/filename").rdd
anotherRDD = newRdd.
map(ip =>ip.split("\\|")).map(ip => Row(if (ip(0).isEmpty()) {
null.asInstanceOf[Int] }
It seems not an issue in Spark. Does "CSVParser" works fine without Spark
with the data?
BTW, it seems there is something wrong with your email address. I am
sending this again.
On 20 Sep 2016 8:32 a.m., "Hyukjin Kwon" wrote:
> It seems not an issue in Spark. Does "CSVParser" works fine without
It seems not an issue in Spark. Does "CSVParser" works fine without Spark
with the data?
On 20 Sep 2016 2:15 a.m., "Mohamed ismail"
wrote:
> Hi all
>
> I am trying to read:
>
> sc.textFile(DataFile).mapPartitions(lines => {
> val parser = new CSVParser(",")
>
Hi all
I am trying to read:
sc.textFile(DataFile).mapPartitions(lines => {
val parser = new CSVParser(",")
lines.map(line=>parseLineToTuple(line, parser))
})
Data looks like:
android
phone,0,0,0,,0,0,0,0,0,0,0,5,0,0,0,5,0,0.0,0.000
Again this is probably not the place for CDH-specific questions, and
this one is already answered at
http://community.cloudera.com/t5/Advanced-Analytics-Apache-Spark/CDH-5-3-0-container-cannot-be-fetched-because-of/m-p/23497#M478
On Fri, Jan 9, 2015 at 9:23 AM, Mukesh Jha wrote:
> I am using pre
I am using pre built *spark-1.2.0-bin-hadoop2.4* from *[1] *to submit spark
applications to yarn, I cannot find the pre built spark for *CDH-5.x*
versions. So, In my case the org.apache.hadoop.yarn.util.ConverterUtils class
is coming from the spark-assembly-1.1.0-hadoop2.4.0.jar which is part of
th
Just to add to Sandy's comment, check your client configuration
(generally in /etc/spark/conf). If you're using CM, you may need to
run the "Deploy Client Configuration" command on the cluster to update
the configs to match the new version of CDH.
On Thu, Jan 8, 2015 at 11:38 AM, Sandy Ryza wrote
Hi Mukesh,
Those line numbers in ConverterUtils in the stack trace don't appear to
line up with CDH 5.3:
https://github.com/cloudera/hadoop-common/blob/cdh5-2.5.0_5.3.0/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-common/src/main/java/org/apache/hadoop/yarn/util/ConverterUtils.java
Is it possible
On Thu, Jan 8, 2015 at 5:08 PM, Mukesh Jha wrote:
> Hi Experts,
>
> I am running spark inside YARN job.
>
> The spark-streaming job is running fine in CDH-5.0.0 but after the upgrade
> to 5.3.0 it cannot fetch containers with the below errors. Looks like the
> container id is incorrect and a stri
Hi Experts,
I am running spark inside YARN job.
The spark-streaming job is running fine in CDH-5.0.0 but after the upgrade
to 5.3.0 it cannot fetch containers with the below errors. Looks like the
container id is incorrect and a string is present in a pace where it's
expecting a number.
java.l
Some(result)
} catch {
case NumberFormatException =>
nBadRows += 1
badRows += str
None
}
}.saveAsTextFile(...)
if (badRows.value.nonEmpty) {
println(" BAD ROWS *")
badRows.value.foreach{str =>
//look at a bit more info from each string ...
Array(0).trim().toInt, strArray(1).trim().toInt)*
}catch{ case e: Exception => println("W000t!! Exception!! => " + e + "\n
The line was :" + row); (0, 0) }
})
Thanks
Best Regards
On Tue, Dec 16, 2014 at 3:19 AM, yu wrote:
>
> Hello, everyone
>
> I kno
.@n3.nabble.com> wrote:
>
> Hello, everyone
>
> I know 'NumberFormatException' is due to the reason that String can not be
> parsed properly, but I really can not find any mistakes for my code. I hope
> someone may kindly help me.
> My hdfs file is as follows:
> 8,22
&g
That certainly looks surprising. Are you sure there are no unprintable
characters in the file?
On Mon, Dec 15, 2014 at 9:49 PM, yu wrote:
> The exception info is:
> 14/12/15 15:35:03 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 0.0
> (TID 0, h3): java.lang.NumberFormatException: For inpu
Hello, everyone
I know 'NumberFormatException' is due to the reason that String can not be
parsed properly, but I really can not find any mistakes for my code. I hope
someone may kindly help me.
My hdfs file is as follows:
8,22
3,11
40,10
49,47
48,29
24,28
50,30
33,56
4,20
30,38
...
So
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