Hi,
When I run the below program, I see two files in the HDFS because the
number of partitions in 2. But, one of the file is empty. Why is it so? Is
the work not distributed equally to all the tasks?
textFile.flatMap(lambda line: line.split()).map(lambda word: (word, 1)).
*reduceByKey*(lambda a,
Hi,
I am running Spark in the stand alone mode.
1) I have a file of 286MB in HDFS (block size is 64MB) and so is split into
5 blocks. When I have the file in HDFS, 5 tasks are generated and so 5
files in the output. My understanding is that there will be a separate
partition for each block and th
Hi,
In the Spark on YARN, the AM (driver) will ask the RM for resources. Once
the resources are allocated by the RM, the AM will start the executors
through the NM. This is my understanding.
But, according to the Spark documentation (1), the
`spark.yarn.applicationMaster.waitTries` properties spe
If your map() sometimes does not emit an element, then you need to
> call flatMap() instead, and emit Some(value) (or any collection of
> values) if there is an element to return, or None otherwise.
>
> On Mon, Sep 22, 2014 at 4:50 PM, Praveen Sripati
> wrote:
> > During the
not able to handle the None record as input.
How to get around this?
Thanks,
Praveen
On Mon, Sep 22, 2014 at 6:09 PM, Praveen Sripati
wrote:
> Hi,
>
> I am writing a Spark program in Python to find the maximum temperature for
> a year, given a weather dataset. The below program thr
Hi,
I am writing a Spark program in Python to find the maximum temperature for
a year, given a weather dataset. The below program throws an error when I
try to execute the Spark program.
TypeError: 'NoneType' object is not iterable
org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.sc