Hello Sean,
I did not understand your question very well, but what I do is checking the
output directory (and I have various logger outputs at various stages
showing the contents of an input file being processed, the response from
the web service, etc.).
By the way, I've already solved my problem by using foreachRDD instead of
print (see my second message in this thread). Apparently forcing Spark to
materialize DAG via print() is not the way to go. (My interpretation might
be wrong, but this is what I've just seen in my case).
--
Emre
On Mon, Feb 16, 2015 at 2:11 PM, Sean Owen <so...@cloudera.com> wrote:
> How are you deciding whether files are processed or not? It doesn't seem
> possible from this code. Maybe it just seems so.
> On Feb 16, 2015 12:51 PM, "Emre Sevinc" <emre.sev...@gmail.com> wrote:
>
>> I've managed to solve this, but I still don't know exactly why my
>> solution works:
>>
>> In my code I was trying to force the Spark to output via:
>>
>> jsonIn.print();
>>
>> jsonIn being a JavaDStream<String>.
>>
>> When removed the code above, and added the code below to force the output
>> operation, hence the execution:
>>
>> jsonIn.foreachRDD(new Function<JavaRDD<String>, Void>() {
>> @Override
>> public Void call(JavaRDD<String> stringJavaRDD) throws Exception {
>> stringJavaRDD.collect();
>> return null;
>> }
>> });
>>
>> It works as I expect, processing all of the 20 files I give to it,
>> instead of stopping at 16.
>>
>> --
>> Emre
>>
>>
>> On Mon, Feb 16, 2015 at 12:56 PM, Emre Sevinc <emre.sev...@gmail.com>
>> wrote:
>>
>>> Hello,
>>>
>>> I have an application in Java that uses Spark Streaming 1.2.1 in the
>>> following manner:
>>>
>>> - Listen to the input directory.
>>> - If a new file is copied to that input directory process it.
>>> - Process: contact a RESTful web service (running also locally and
>>> responsive), send the contents of the file, receive the response from the
>>> web service, write the results as a new file into the output directory
>>> - batch interval : 30 seconds
>>> - checkpoint interval: 150 seconds
>>>
>>> When I test the application locally with 1 or 2 files, it works
>>> perfectly fine as expected. I run it like:
>>>
>>> spark-submit --class myClass --verbose --master local[4]
>>> --deploy-mode client myApp.jar /in file:///out
>>>
>>> But then I've realized something strange when I copied 20 files to the
>>> INPUT directory: Spark Streaming detects all of the files, but it ends up
>>> processing *only 16 files*. And the remaining 4 are not processed at all.
>>>
>>> I've tried it with 19, 18, and then 17 files. Same result, only 16 files
>>> end up in the output directory.
>>>
>>> Then I've tried it by copying 16 files at once to the input directory,
>>> and it can process all of the 16 files. That's why I call it magic number
>>> 16.
>>>
>>> When I mean it detects all of the files, I mean that in the logs I see
>>> the following lines when I copy 17 files:
>>>
>>>
>>> ===============================================================================================================================
>>> 2015-02-16 12:30:51 INFO SpotlightDriver:70 - spark.executor.memory:
>>> "1G"
>>> 2015-02-16 12:30:51 WARN Utils:71 - Your hostname, emre-ubuntu resolves
>>> to a loopback address: 127.0.1.1; using 10.0.2.15 instead (on interface
>>> eth0)
>>> 2015-02-16 12:30:51 WARN Utils:71 - Set SPARK_LOCAL_IP if you need to
>>> bind to another address
>>> 2015-02-16 12:30:52 INFO Slf4jLogger:80 - Slf4jLogger started
>>> 2015-02-16 12:30:52 WARN NativeCodeLoader:62 - Unable to load
>>> native-hadoop library for your platform... using builtin-java classes where
>>> applicable
>>> 2015-02-16 12:30:53 INFO WriteAheadLogManager for
>>> ReceivedBlockHandlerMaster:59 - Recovered 2 write ahead log files from
>>> file:/tmp/receivedBlockMetadata
>>> 2015-02-16 12:30:53 INFO WriteAheadLogManager for
>>> ReceivedBlockHandlerMaster:59 - Reading from the logs:
>>> file:/tmp/receivedBlockMetadata/log-1424086110599-1424086170599
>>> file:/tmp/receivedBlockMetadata/log-1424086200861-1424086260861
>>> -------------------------------------------
>>> Time: 1424086260000 ms
>>> -------------------------------------------
>>>
>>> 2015-02-16 12:31:00 INFO WriteAheadLogManager for
>>> ReceivedBlockHandlerMaster:59 - Attempting to clear 0 old log files in
>>> file:/tmp/receivedBlockMetadata older than 1424085960000:
>>> 2015-02-16 12:31:00 INFO WriteAheadLogManager for
>>> ReceivedBlockHandlerMaster:59 - Cleared log files in
>>> file:/tmp/receivedBlockMetadata older than 1424085960000
>>> 2015-02-16 12:31:00 INFO WriteAheadLogManager for
>>> ReceivedBlockHandlerMaster:59 - Attempting to clear 0 old log files in
>>> file:/tmp/receivedBlockMetadata older than 1424085960000:
>>> 2015-02-16 12:31:00 INFO WriteAheadLogManager for
>>> ReceivedBlockHandlerMaster:59 - Cleared log files in
>>> file:/tmp/receivedBlockMetadata older than 1424085960000
>>> 2015-02-16 12:31:30 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:30 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:30 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:30 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:30 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:30 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:30 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:30 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:30 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:30 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:30 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:31 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:31 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:31 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:31 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:31 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:31 INFO FileInputFormat:280 - Total input paths to
>>> process : 1
>>> 2015-02-16 12:31:31 INFO WriteAheadLogManager for
>>> ReceivedBlockHandlerMaster:59 - Attempting to clear 0 old log files in
>>> file:/tmp/receivedBlockMetadata older than 1424085990000:
>>> 2015-02-16 12:31:31 INFO WriteAheadLogManager for
>>> ReceivedBlockHandlerMaster:59 - Cleared log files in
>>> file:/tmp/receivedBlockMetadata older than 1424085990000
>>>
>>> -------------------------------------------
>>>
>>> Time: 1424086290000 ms
>>> -------------------------------------------
>>>
>>> ===============================================================================================================================
>>>
>>> In other words it says "Total input paths to process :1" for 17 times.
>>> And when I copy 20 files, it says that 20 times.
>>>
>>> But it always ends up processing 16 files at once and the remaining ones
>>> are not processed at all.
>>>
>>> However, if I first copy 16 files to the input directory, wait for Spark
>>> Streaming application to process them (by checking the output directory and
>>> seeing that 16 files have been created properly), and then copy the 4 more
>>> files, those 4 files are also processed!
>>>
>>> So now I'm in a weird situation that I have to copy 16 files at maximum
>>> at once, wait them to be processed, and only after that copy again 16 files
>>> at max, ... otherwise I lose the extra files, in the sense that they are
>>> not processed. This is not acceptable in my use-case.
>>>
>>> I've also checked the parameter
>>>
>>> spark.streaming.receiver.maxRate
>>>
>>>
>>> and it is INFINITE by default, I've tried setting it to 10 for example,
>>> and nothing has changed.
>>>
>>> Any ideas what might be causing this situation, having a magic number of
>>> 16 files at once?
>>>
>>>
>>> --
>>> Emre Sevinç
>>>
>>
>>
>>
>> --
>> Emre Sevinc
>>
>
--
Emre Sevinc
