sorry for multiple emails. I just think more info is needed every time to
address this problem
My Spark Client program runs in a client mode and it runs on a node that
has 2 vCPU's and 8GB RAM (m4.large)
I have 2 Spark worker nodes and each have 4 vCPU's and 16GB RAM (m3.xlarge
for each spark worker instance)
On Thu, Dec 1, 2016 at 12:55 AM, kant kodali <kanth...@gmail.com> wrote:
> My batch interval is 1s
> slide interval is 1s
> window interval is 1 minute
>
> I am using a standalone alone cluster. I don't have any storage layer like
> HDFS. so I dont know what is a connection between RDD and blocks (I know
> that for every batch one RDD is produced)? what is a block in this context?
> is it a disk block ? if so, what is it default size? and Finally, why does
> the following error happens so often?
>
> java.lang.Exception: Could not compute split, block input-0-1480539568000
> not found
>
>
>
> On Thu, Dec 1, 2016 at 12:42 AM, kant kodali <kanth...@gmail.com> wrote:
>
>> I also use this super(StorageLevel.MEMORY_AND_DISK_2());
>>
>> inside my receiver
>>
>> On Wed, Nov 30, 2016 at 10:44 PM, kant kodali <kanth...@gmail.com> wrote:
>>
>>> Here is another transformation that might cause the error but it has to
>>> be one of these two since I only have two transformations
>>>
>>> jsonMessagesDStream
>>> .window(new Duration(60000), new Duration(1000))
>>> .mapToPair(new PairFunction<String, String, Long>() {
>>> @Override
>>> public Tuple2<String, Long> call(String s) throws Exception {
>>> //System.out.println(s + " *****************************");
>>> JsonParser parser = new JsonParser();
>>> JsonObject jsonObj = parser.parse(s).getAsJsonObject();
>>>
>>> if (jsonObj != null && jsonObj.has("var1")) {
>>> JsonObject jsonObject =
>>> jsonObj.get("var1").getAsJsonObject();
>>> if (jsonObject != null && jsonObject.has("var2") &&
>>> jsonObject.get("var2").getAsBoolean() && jsonObject.has("var3") ) {
>>> long num = jsonObject.get("var3").getAsLong();
>>>
>>> return new Tuple2<String, Long>("var3", num);
>>> }
>>> }
>>>
>>> return new Tuple2<String, Long>("var3", 0L);
>>> }
>>> }).reduceByKey(new Function2<Long, Long, Long>() {
>>> @Override
>>> public Long call(Long v1, Long v2) throws Exception {
>>> return v1+v2;
>>> }
>>> }).foreachRDD(new VoidFunction<JavaPairRDD<String, Long>>() {
>>> @Override
>>> public void call(JavaPairRDD<String, Long>
>>> stringIntegerJavaPairRDD) throws Exception {
>>> Map<String, Long> map = new HashMap<>();
>>> Gson gson = new Gson();
>>> stringIntegerJavaPairRDD
>>> .collect()
>>> .forEach((Tuple2<String, Long> KV) -> {
>>> String status = KV._1();
>>> Long count = KV._2();
>>> map.put(status, count);
>>> }
>>> );
>>> NSQReceiver.send(producer, "dashboard",
>>> gson.toJson(map).getBytes());
>>> }
>>> });
>>>
>>>
>>> On Wed, Nov 30, 2016 at 10:40 PM, kant kodali <kanth...@gmail.com>
>>> wrote:
>>>
>>>> Hi Marco,
>>>>
>>>>
>>>> Here is what my code looks like
>>>>
>>>> Config config = new Config("hello");
>>>> SparkConf sparkConf = config.buildSparkConfig();
>>>> sparkConf.setJars(JavaSparkContext.jarOfClass(Driver.class));
>>>> JavaStreamingContext ssc = new JavaStreamingContext(sparkConf, new
>>>> Duration(config.getSparkStremingBatchInterval()));
>>>> ssc.sparkContext().setLogLevel("ERROR");
>>>>
>>>>
>>>> NSQReceiver sparkStreamingReceiver = new NSQReceiver(config, "input_test");
>>>> JavaReceiverInputDStream<String> jsonMessagesDStream =
>>>> ssc.receiverStream(sparkStreamingReceiver);
>>>>
>>>>
>>>> NSQProducer producer = new NSQProducer()
>>>> .addAddress(config.getServerConfig().getProperty("NSQD_IP"),
>>>> Integer.parseInt(config.getServerConfig().getProperty("NSQD_PORT")))
>>>> .start();
>>>>
>>>> jsonMessagesDStream
>>>> .mapToPair(new PairFunction<String, String, Integer>() {
>>>> @Override
>>>> public Tuple2<String, Integer> call(String s) throws Exception
>>>> {
>>>> JsonParser parser = new JsonParser();
>>>> JsonObject jsonObj = parser.parse(s).getAsJsonObject();
>>>> if (jsonObj != null && jsonObj.has("var1") ) {
>>>> JsonObject transactionObject =
>>>> jsonObj.get("var1").getAsJsonObject();
>>>> if(transactionObject != null &&
>>>> transactionObject.has("var2")) {
>>>> String key =
>>>> transactionObject.get("var2").getAsString();
>>>> return new Tuple2<>(key, 1);
>>>> }
>>>> }
>>>> return new Tuple2<>("", 0);
>>>> }
>>>> }).reduceByKey(new Function2<Integer, Integer, Integer>() {
>>>> @Override
>>>> public Integer call(Integer v1, Integer v2) throws
>>>> Exception {
>>>> return v1+v2;
>>>> }
>>>> }).foreachRDD(new VoidFunction<JavaPairRDD<String, Integer>>() {
>>>> @Override
>>>> public void call(JavaPairRDD<String, Integer>
>>>> stringIntegerJavaPairRDD) throws Exception {
>>>> Map<String, Integer> map = new HashMap<>();
>>>> Gson gson = new Gson();
>>>> stringIntegerJavaPairRDD
>>>> .collect()
>>>> .forEach((Tuple2<String, Integer> KV) -> {
>>>> String status = KV._1();
>>>> Integer count = KV._2();
>>>> map.put(status, count);
>>>> }
>>>> );
>>>> NSQReceiver.send(producer, "output_777",
>>>> gson.toJson(map).getBytes());
>>>> }
>>>> });
>>>>
>>>>
>>>> Thanks,
>>>>
>>>> kant
>>>>
>>>>
>>>> On Wed, Nov 30, 2016 at 2:11 PM, Marco Mistroni <mmistr...@gmail.com>
>>>> wrote:
>>>>
>>>>> Could you paste reproducible snippet code?
>>>>> Kr
>>>>>
>>>>> On 30 Nov 2016 9:08 pm, "kant kodali" <kanth...@gmail.com> wrote:
>>>>>
>>>>>> I have lot of these exceptions happening
>>>>>>
>>>>>> java.lang.Exception: Could not compute split, block
>>>>>> input-0-1480539568000 not found
>>>>>>
>>>>>>
>>>>>> Any ideas what this could be?
>>>>>>
>>>>>
>>>>
>>>
>>
>
