By setting spark.eventLog.enabled to true it is possible to see the
application UI after the application has finished its execution, however
the Streaming tab is no longer visible.
For measuring the duration of batches in the code I am doing something like
this:
«wordCharValues.foreachRDD(rdd => {
val startTick = System.currentTimeMillis()
val result = rdd.take(1)
val timeDiff = System.currentTimeMillis() - startTick»
But my quesiton is: is it possible to see the rate/throughput (records/sec)
when I have a stream to process log files that appear in a folder?
On Thu, Feb 26, 2015 at 1:36 AM, Tathagata Das <t...@databricks.com> wrote:
> Yes. # tuples processed in a batch = sum of all the tuples received by all
> the receivers.
>
> In screen shot, there was a batch with 69.9K records, and there was a
> batch which took 1 s 473 ms. These two batches can be the same, can be
> different batches.
>
> TD
>
> On Wed, Feb 25, 2015 at 10:11 AM, Josh J <joshjd...@gmail.com> wrote:
>
>> If I'm using the kafka receiver, can I assume the number of records
>> processed in the batch is the sum of the number of records processed by the
>> kafka receiver?
>>
>> So in the screen shot attached the max rate of tuples processed in a
>> batch is 42.7K + 27.2K = 69.9K tuples processed in a batch with a max
>> processing time of 1 second 473 ms?
>>
>> On Wed, Feb 25, 2015 at 8:48 AM, Akhil Das <ak...@sigmoidanalytics.com>
>> wrote:
>>
>>> By throughput you mean Number of events processed etc?
>>>
>>> [image: Inline image 1]
>>>
>>> Streaming tab already have these statistics.
>>>
>>>
>>>
>>> Thanks
>>> Best Regards
>>>
>>> On Wed, Feb 25, 2015 at 9:59 PM, Josh J <joshjd...@gmail.com> wrote:
>>>
>>>>
>>>> On Wed, Feb 25, 2015 at 7:54 AM, Akhil Das <ak...@sigmoidanalytics.com>
>>>> wrote:
>>>>
>>>>> For SparkStreaming applications, there is already a tab called
>>>>> "Streaming" which displays the basic statistics.
>>>>
>>>>
>>>> Would I just need to extend this tab to add the throughput?
>>>>
>>>
>>>
>>
>>
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>
>
