Hi,
Whether it is a blocker or not, is upto you to decide. But, spark k8s
cluster supports dynamic allocation, through a different mechanism, that
is, without using an external shuffle service.
https://issues.apache.org/jira/browse/SPARK-27963. There are pros and cons
of both approaches. The only
My opinion would be go here.
https://www.coursera.org/courses?query=machine%20learning%20andrew%20ng
Machine learning by Andrew Ng.
After three weeks you will have more valuable skills than most engineers in
silicon valley in the USA. I am past week 3. 蘿
He does go 90 miles per hour.
I wish
Hi there!
I'm seeing this exception in Spark Driver log.
Executor log stays empty. No exceptions, nothing.
8 tasks out of 402 failed with this exception.
What is the right way to debug it?
Thank you.
I see that
spark/jars -> minlog-1.3.0.jar
is in driver classpath at least...
It sounds like you have huge data skew?
On Thu, Jul 9, 2020 at 4:15 PM Bobby Evans wrote:
>
> Sadly there isn't a lot you can do to fix this. All of the operations take
> iterators of rows as input and produce iterators of rows as output. For
> efficiency reasons, the timing is not done for
Sadly there isn't a lot you can do to fix this. All of the operations take
iterators of rows as input and produce iterators of rows as output. For
efficiency reasons, the timing is not done for each individual row. If we
did that in many cases it would take longer to measure how long something
Thanks for response. We have tried it in dev env. For production, if Spark 3.0
is not leveraging k8s scheduler, then would Spark Cluster in K8s be "static"?
As per https://issues.apache.org/jira/browse/SPARK-24432 it seems it is still
blocker for production workloads?
Thanks,
Vaibhav V
I haven't used the K8S scheduler personally, but, just based on that
comment I wouldn't worry too much. It's been around for several
versions and AFAIK works fine in general. We sometimes aren't so great
about removing "experimental" labels. That said I know there are still
some things that could
Hi Spark Experts,
We are trying to deploy spark on Kubernetes.
As per doc http://spark.apache.org/docs/latest/running-on-kubernetes.html, it
looks like K8s deployment is experimental.
"The Kubernetes scheduler is currently experimental ".
Spark 3.0 does not support production deployment using
There are various sample JDBC URLs documented here, depending on the driver
vendor, Kerberos (or not), and SSL (or not). Often times, unsurprisingly,
SSL is used in conjunction with Kerberos. Even if you don't use StreamSets
software at all, you might find these useful.
spark/jars -> minlog-1.3.0.jar
I see that jar is there. What do I do wrong?
чт, 9 июл. 2020 г. в 20:43, Ivan Petrov :
> Hi there!
> I'm seeing this exception in Spark Driver log.
> Executor log stays empty. No exceptions, nothing.
> 8 tasks out of 402 failed with this exception.
> What is the
Hi there!
I'm seeing this exception in Spark Driver log.
Executor log stays empty. No exceptions, nothing.
8 tasks out of 402 failed with this exception.
What is the right way to debug it?
Thank you.
java.lang.NoClassDefFoundError: com/esotericsoftware/minlog/Log
at
One of my colleagues found this solution:
https://github.com/morfious902002/impala-spark-jdbc-kerberos/blob/master/src/main/java/ImpalaSparkJDBC.java
If you need to connect to Hive or Impala using JDBC with Kerberos
authentication from Apache Spark, you can use it and will work.
You can
You have a Jackson version conflict somewhere. It might be from other
libraries you include in your application.
I am not sure Spark 2.3 works with Hadoop 3.1, so this may be the
issue. Make sure you match these to Spark, and/or use the latest
versions.
On Thu, Jul 9, 2020 at 8:23 AM Julian Jiang
when I run it in my idea ,it works well.but when I submit to cluster ,it appear
this problem.。thanks for help me .
My version is as follow:
2.11.8
3.1.1
2.3.2
0.2.4
My code is as follow :
val spark:SparkSession = SparkSession
.builder()
.appName("CkConnect")
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