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?
>>>>>
>>>>
>>>
>>
>
