Spark thriff server hiveStatement.getQueryLog return empty?
Hi,
The error message indicates that a Streaming Context object end up in the
fields of the closure that Spark tries to serialize.
Could you show us the enclosing function and component ?
The workarounds proposed in the following stack overflow reply might help
you to fix the problem:
http://s
Yeoul,
I think a you can run an microbench for pyspark
serialization/deserialization would be to run a withColumn + a python udf
that returns a constant and compare that with similar code in
Scala.
I am not sure if there is way to measure just the serialization code,
because pyspark API only allo
I am not an expert on this but here is what I think:
Catalyst maintains information on whether a plan node is ordered. If your
dataframe is a result of a order by, catalyst will skip the sorting when it
does merge sort join. If you dataframe is created from storage, for
instance. ParquetRelation,
(this was also posted to stackoverflow on 03/10)
I am setting up a very simple logistic regression problem in scikit-learn
and in spark.ml, and the results diverge: the models they learn are
different, but I can't figure out why (data is the same, model type is the
same, regularization is the same
I am not able to stop Spark-streaming job.
Let me explain briefly
* getting data from Kafka topic
* splitting data to create a JavaRDD
* mapping the JavaRDD to JavaPairRDD to do a reduceByKey transformation
* writing the JavaPairRDD into the C* DB // something going wrong here
the message in
