Performance issues with vert.x - rx-java2
When running the test using apache bench for a vert.x application, we are seeing that the response time increased as we increase the number of concurrent users.
D:\httpd-2.2.34-win64\Apache2\bin>ab -n 500 -c 1 -H "Authorization: 5" -H "Span_Id: 4" -H "Trace_Id: 1" -H "X-test-API-KEY: 6" http://localhost:8443/product_catalog/products/legacy/001~001~5ZP/terms
This is ApacheBench, Version 2.3 <$Revision: 655654 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/
Benchmarking localhost (be patient)
Completed 100 requests
Completed 200 requests
Completed 300 requests
Completed 400 requests
Completed 500 requests
Finished 500 requests
Server Software:
Server Hostname: localhost
Server Port: 8443
Document Path: /product_catalog/products/legacy/001~001~5ZP/terms
Document Length: 319 bytes
Concurrency Level: 1
Time taken for tests: 12.366 seconds
Complete requests: 500
Failed requests: 0
Write errors: 0
Total transferred: 295094 bytes
HTML transferred: 159500 bytes
Requests per second: 40.43 [#/sec] (mean)
Time per request: 24.733 [ms] (mean)
Time per request: 24.733 [ms] (mean, across all concurrent requests)
Transfer rate: 23.30 [Kbytes/sec] received
Connection Times (ms)
min mean[+/-sd] median max
Connect: 0 1 0.5 1 3
Processing: 5 24 83.9 8 1293
Waiting: 5 23 83.9 8 1293
Total: 6 24 83.9 9 1293
Percentage of the requests served within a certain time (ms)
50% 9
66% 11
75% 13
80% 15
90% 29
95% 57
98% 238
99% 332
100% 1293 (longest request)
D:\httpd-2.2.34-win64\Apache2\bin>ab -n 500 -c 2 -H "Authorization: 5" -H "Span_Id: 4" -H "Trace_Id: 1" -H "X-test-API-KEY: 6" http://localhost:8443/product_catalog/products/legacy/001~001~5ZP/terms
This is ApacheBench, Version 2.3 <$Revision: 655654 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/
Benchmarking localhost (be patient)
Completed 100 requests
Completed 200 requests
Completed 300 requests
Completed 400 requests
Completed 500 requests
Finished 500 requests
Server Software:
Server Hostname: localhost
Server Port: 8443
Document Path: /product_catalog/products/legacy/001~001~5ZP/terms
Document Length: 319 bytes
Concurrency Level: 2
Time taken for tests: 7.985 seconds
Complete requests: 500
Failed requests: 0
Write errors: 0
Total transferred: 295151 bytes
HTML transferred: 159500 bytes
Requests per second: 62.61 [#/sec] (mean)
Time per request: 31.941 [ms] (mean)
Time per request: 15.971 [ms] (mean, across all concurrent requests)
Transfer rate: 36.10 [Kbytes/sec] received
Connection Times (ms)
min mean[+/-sd] median max
Connect: 0 1 0.6 1 9
Processing: 6 30 71.5 12 720
Waiting: 5 30 71.4 12 720
Total: 7 31 71.5 13 721
Percentage of the requests served within a certain time (ms)
50% 13
66% 16
75% 21
80% 24
90% 53
95% 113
98% 246
99% 444
100% 721 (longest request)
D:\httpd-2.2.34-win64\Apache2\bin>ab -n 500 -c 3 -H "Authorization: 5" -H "Span_Id: 4" -H "Trace_Id: 1" -H "X-test-API-KEY: 6" http://localhost:8443/product_catalog/products/legacy/001~001~5ZP/terms
This is ApacheBench, Version 2.3 <$Revision: 655654 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/
Benchmarking localhost (be patient)
Completed 100 requests
Completed 200 requests
Completed 300 requests
Completed 400 requests
Completed 500 requests
Finished 500 requests
Server Software:
Server Hostname: localhost
Server Port: 8443
Document Path: /product_catalog/products/legacy/001~001~5ZP/terms
Document Length: 319 bytes
Concurrency Level: 3
Time taken for tests: 7.148 seconds
Complete requests: 500
Failed requests: 0
Write errors: 0
Total transferred: 295335 bytes
HTML transferred: 159500 bytes
Requests per second: 69.95 [#/sec] (mean)
Time per request: 42.888 [ms] (mean)
Time per request: 14.296 [ms] (mean, across all concurrent requests)
Transfer rate: 40.35 [Kbytes/sec] received
Connection Times (ms)
min mean[+/-sd] median max
Connect: 0 1 0.6 1 5
Processing: 6 42 66.2 22 516
Waiting: 6 41 66.3 22 515
Total: 7 42 66.3 23 516
Percentage of the requests served within a certain time (ms)
50% 23
66% 31
75% 43
80% 51
90% 76
95% 128
98% 259
99% 430
100% 516 (longest request)
D:\httpd-2.2.34-win64\Apache2\bin>ab -n 500 -c 4 -H "Authorization: 5" -H "Span_Id: 4" -H "Trace_Id: 1" -H "X-test-API-KEY: 6" http://localhost:8443/product_catalog/products/legacy/001~001~5ZP/terms
This is ApacheBench, Version 2.3 <$Revision: 655654 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/
Benchmarking localhost (be patient)
Completed 100 requests
Completed 200 requests
Completed 300 requests
Completed 400 requests
Completed 500 requests
Finished 500 requests
Server Software:
Server Hostname: localhost
Server Port: 8443
Document Path: /product_catalog/products/legacy/001~001~5ZP/terms
Document Length: 319 bytes
Concurrency Level: 4
Time taken for tests: 7.078 seconds
Complete requests: 500
Failed requests: 0
Write errors: 0
Total transferred: 295389 bytes
HTML transferred: 159500 bytes
Requests per second: 70.64 [#/sec] (mean)
Time per request: 56.623 [ms] (mean)
Time per request: 14.156 [ms] (mean, across all concurrent requests)
Transfer rate: 40.76 [Kbytes/sec] received
Connection Times (ms)
min mean[+/-sd] median max
Connect: 0 1 0.6 1 4
Processing: 8 55 112.8 22 1112
Waiting: 8 55 112.7 21 1111
Total: 9 56 112.8 22 1112
Percentage of the requests served within a certain time (ms)
50% 22
66% 31
75% 43
80% 59
90% 120
95% 213
98% 294
99% 387
100% 1112 (longest request)
Also when the test is running, if we hit the API from another console, we see that the response time increases for that as well.
We have used the following code:
Router code:
router.route().handler(LoggerHandler.create(LoggerFormat.SHORT));
router.route().handler(ResponseTimeHandler.create());
router.route().handler(CorsHandler.create("*")
.allowedMethod(io.vertx.core.http.HttpMethod.GET)
.allowedMethod(io.vertx.core.http.HttpMethod.POST)
.allowedMethod(io.vertx.core.http.HttpMethod.PUT)
.allowedMethod(io.vertx.core.http.HttpMethod.DELETE)
.allowedMethod(io.vertx.core.http.HttpMethod.OPTIONS)
.allowedHeader("Access-Control-Request-Method")
.allowedHeader("Access-Control-Allow-Credentials")
.allowedHeader("Access-Control-Allow-Origin")
.allowedHeader("Access-Control-Allow-Headers")
.allowedHeader("Content-Type")
.allowedHeader("Trace_Id")
.allowedHeader("Span_Id")
.allowedHeader("Authorization")
.allowedHeader("X-test-API-KEY")
.allowedHeader("Accept"));
router.get("/product_catalog/products/legacy/:id/terms").handler(this::getByProductCode);
Server Creation:
vertx
.createHttpServer()
.exceptionHandler(event -> {
logger.error("{}", new GPCLogEvent(className, "global_exception_handler", event, new GPCEntry("global_exception", event.getMessage() != null ? event.getMessage() : "")));
})
.connectionHandler(handler -> {
handler.exceptionHandler(event -> {
logger.error("{}", new GPCLogEvent(className, "global_exception_connection_handler", event, new GPCEntry("global_exception", event.getMessage() != null ? event.getMessage() : "")));
});
})
.websocketHandler(handler -> {
handler.exceptionHandler(event -> {
logger.error("{}", new GPCLogEvent(className, "global_exception_websocket_handler", event, new GPCEntry("global_exception", event.getMessage() != null ? event.getMessage() : "")));
});
})
.requestHandler(handler -> {
handler.exceptionHandler(event -> {
logger.error("{}", new GPCLogEvent(className, "global_exception_request_handler", event, new GPCEntry("global_exception", event.getMessage() != null ? event.getMessage() : "")));
});
})
.requestHandler(router)
.listen(serverPort, result -> {
if (result.succeeded()) {
logger.info("{}",
new GPCLogEvent(className, "start", new GPCEntry<>("Server started at port", serverPort)));
} else {
logger.error("{}", new GPCLogEvent(className, "start", result.cause(),
new GPCEntry<>("Server failed to start at port", serverPort)));
}
});
Handler Method:
private void getByProductCode(RoutingContext routingContext) {
LocalDateTime requestReceivedTime = LocalDateTime.now();
ZonedDateTime nowUTC = ZonedDateTime.now(ZoneOffset.UTC);
JsonObject jsonObject = commonUtilities.populateJsonObject(routingContext.request().headers());
jsonObject.put("requestReceivedTime", requestReceivedTime.format(commonUtilities.getDateTimeFormatter()));
jsonObject.put("path_param_id", routingContext.pathParam("id"));
jsonObject.put("TRACING_ID",UUID.randomUUID().toString());
long timeTakenInGettingRequestVar = 0;
if (jsonObject.getString("requestSentTime") != null) {
ZonedDateTime requestSentTime = LocalDateTime.parse(jsonObject.getString("requestSentTime"), commonUtilities.getDateTimeFormatter()).atZone(ZoneId.of("UTC"));
timeTakenInGettingRequestVar = ChronoUnit.MILLIS.between(requestSentTime.toLocalDateTime(), nowUTC.toLocalDateTime());
}
final long timeTakenInGettingRequest = timeTakenInGettingRequestVar;
vertx.eventBus().send(TermsVerticleGet.GET_BY_PRODUCT_CODE,
jsonObject,
result -> {
if (result.succeeded()) {
routingContext.response()
.putHeader("content-type", jsonObject.getString("Accept"))
.putHeader("TRACING_ID", jsonObject.getString("TRACING_ID"))
.putHeader("TRACE_ID", jsonObject.getString("TRACE_ID"))
.putHeader("SPAN_ID", jsonObject.getString("SPAN_ID"))
.putHeader("responseSentTime", LocalDateTime.now().format(commonUtilities.getDateTimeFormatter()))
.putHeader("timeTakenInGettingRequest", Long.toString(timeTakenInGettingRequest))
.putHeader("requestReceivedTime", nowUTC.toLocalDateTime().format(commonUtilities.getDateTimeFormatter()))
.putHeader("requestSentTime", jsonObject.getString("requestSentTime") != null ? jsonObject.getString("requestSentTime") : "")
.setStatusCode(200)
.end(result.result().body().toString())
;
logger.info("OUT");
} else {
ReplyException cause = (ReplyException) result.cause();
routingContext.response()
.putHeader("content-type", jsonObject.getString("Accept"))
.putHeader("TRACING_ID", jsonObject.getString("TRACING_ID"))
.putHeader("TRACE_ID", jsonObject.getString("TRACE_ID"))
.putHeader("SPAN_ID", jsonObject.getString("SPAN_ID"))
.putHeader("responseSentTime", LocalDateTime.now().format(commonUtilities.getDateTimeFormatter()))
.putHeader("timeTakenInGettingRequest", Long.toString(timeTakenInGettingRequest))
.putHeader("requestReceivedTime", nowUTC.toLocalDateTime().format(commonUtilities.getDateTimeFormatter()))
.putHeader("requestSentTime", jsonObject.getString("requestSentTime") != null ? jsonObject.getString("requestSentTime") : "")
.setStatusCode(cause.failureCode())
.end(cause.getMessage());
logger.info("OUT");
}
});
}
Worker Verticle:
private void getByProductCode(Message<JsonObject> messageConsumer) {
LocalDateTime requestReceivedTime_handler = LocalDateTime.now();
ZonedDateTime nowUTC_handler = ZonedDateTime.now(ZoneOffset.UTC);
final String TRACING_ID = messageConsumer.body().getString("TRACING_ID");
final String TRACE_ID = !commonUtilities.validateNullEmpty(messageConsumer.body().getString("Trace_Id")) ? UUID.randomUUID().toString() : messageConsumer.body().getString("Trace_Id");
final String SPAN_ID = !commonUtilities.validateNullEmpty(messageConsumer.body().getString("Span_Id")) ? UUID.randomUUID().toString() : messageConsumer.body().getString("Span_Id");
logger.info("{}", new GPCLogEvent(className, "getByProductCode", new GPCEntry<>("IN", System.currentTimeMillis()), new GPCEntry<>("TRACING_ID", TRACING_ID), new GPCEntry<>("TRACE_ID", TRACE_ID), new GPCEntry<>("SPAN_ID", SPAN_ID)));
// Run the validation
logger.info("{}", new GPCLogEvent(className, "getByProductCode", new GPCEntry<>("validateCommonRequestHeader", true), new GPCEntry<>("IN", System.currentTimeMillis()), new GPCEntry<>("TRACING_ID", TRACING_ID), new GPCEntry<>("TRACE_ID", TRACE_ID), new GPCEntry<>("SPAN_ID", SPAN_ID)));
commonUtilities.validateCommonRequestHeader(messageConsumer.body());
logger.info("{}", new GPCLogEvent(className, "getByProductCode", new GPCEntry<>("validateCommonRequestHeader", true), new GPCEntry<>("OUT", System.currentTimeMillis()), new GPCEntry<>("TRACING_ID", TRACING_ID), new GPCEntry<>("TRACE_ID", TRACE_ID), new GPCEntry<>("SPAN_ID", SPAN_ID)));
// Product code - Mandatory
messageConsumer.body().put("product_codes", messageConsumer.body().getString("path_param_id"));
// Product code validation
if (commonUtilities.validateNullEmpty(messageConsumer.body().getString("product_codes"))) {
commonUtilities.checkProductIAORGLOGOPCTCode(messageConsumer.body(), TRACING_ID, TRACE_ID, SPAN_ID, false);
} else {
messageConsumer.body().getJsonArray("errors").add("id (path parameter) is mandatory field");
}
// There are validation errors
if (messageConsumer.body().getJsonArray("errors").size() > 0) {
messageConsumer.body().put("error_message", "Validation errors");
messageConsumer.body().put("developer_message", messageConsumer.body().getJsonArray("errors").toString());
messageConsumer.body().put("error_code", "400");
messageConsumer.body().put("more_information", "There are " + messageConsumer.body().getJsonArray("errors").size() + " validation errors");
messageConsumer.fail(400, Json.encode(commonUtilities.errors(messageConsumer.body(), TRACING_ID, TRACE_ID, SPAN_ID)));
logger.info("{}", new GPCLogEvent(className, "getByProductCode", new GPCEntry<>("OUT", System.currentTimeMillis()), new GPCEntry<>("TRACING_ID", TRACING_ID), new GPCEntry<>("TRACE_ID", TRACE_ID), new GPCEntry<>("SPAN_ID", SPAN_ID), new GPCEntry<>("TIME_TAKEN", ChronoUnit.MILLIS.between(requestReceivedTime_handler, LocalDateTime.now()))));
return;
}
Handler<AsyncResult<CreditCardTerms>> dataHandler = data -> {
if (data.succeeded()) {
logger.info("{}", new GPCLogEvent(className, "getByProductCode", new GPCEntry<>("Success", true), new GPCEntry<>("IN", System.currentTimeMillis()), new GPCEntry<>("TRACING_ID", TRACING_ID), new GPCEntry<>("TRACE_ID", TRACE_ID), new GPCEntry<>("SPAN_ID", SPAN_ID)));
/*routingContext.response()
.putHeader("content-type", messageConsumer.body().getString("Accept"))
.putHeader("TRACING_ID", TRACING_ID)
.putHeader("TRACE_ID", TRACE_ID)
.putHeader("SPAN_ID", SPAN_ID)
.putHeader("responseSentTime", ZonedDateTime.now(ZoneOffset.UTC).toLocalDateTime().format(commonUtilities.getDateTimeFormatter()))
.putHeader("timeTakenInGettingRequest", Long.toString(timeTakenInGettingRequest))
.putHeader("requestReceivedTime", nowUTC_handler.toLocalDateTime().format(commonUtilities.getDateTimeFormatter()))
.putHeader("requestSentTime", messageConsumer.body().getString("requestSentTime") != null ? messageConsumer.body().getString("requestSentTime") : "")
.setStatusCode(200)
.end(Json.encode(data.result()));
*/
messageConsumer.reply(Json.encode(data.result()));
logger.info("{}", new GPCLogEvent(className, "getByProductCode", new GPCEntry<>("OUT", System.currentTimeMillis()), new GPCEntry<>("TRACING_ID", TRACING_ID), new GPCEntry<>("TRACE_ID", TRACE_ID), new GPCEntry<>("SPAN_ID", SPAN_ID), new GPCEntry<>("TIME_TAKEN", ChronoUnit.MILLIS.between(requestReceivedTime_handler, LocalDateTime.now()))));
} else {
logger.info("{}", new GPCLogEvent(className, "getByProductCode", new GPCEntry<>("onError", true), new GPCEntry<>("TRACING_ID", TRACING_ID), new GPCEntry<>("TRACE_ID", TRACE_ID), new GPCEntry<>("SPAN_ID", SPAN_ID)));
if (data.cause() instanceof NoDocumentFoundException) {
messageConsumer.body().put("error_message", "Issue while fetching the details of the product");
messageConsumer.body().put("developer_message", messageConsumer.body().getJsonArray("errors").add(commonUtilities.getStackTrace(data.cause())).toString());
messageConsumer.body().put("error_code", "404");
messageConsumer.body().put("more_information", "Issue while fetching the details of the product");
//commonUtilities.errors(routingContext, messageConsumer.body(), TRACING_ID, TRACE_ID, SPAN_ID);
messageConsumer.fail(404, Json.encode(commonUtilities.errors(messageConsumer.body(), TRACING_ID, TRACE_ID, SPAN_ID)));
} else {
messageConsumer.body().put("error_message", "Internal Server Error: Issue while fetching the details of the product");
messageConsumer.body().put("developer_message", messageConsumer.body().getJsonArray("errors").add(commonUtilities.getStackTrace(data.cause())).toString());
messageConsumer.body().put("error_code", "500");
messageConsumer.body().put("more_information", "Internal Server Error: Issue while fetching the details of the product");
//commonUtilities.errors(routingContext, messageConsumer.body(), TRACING_ID, TRACE_ID, SPAN_ID);
messageConsumer.fail(500, Json.encode(commonUtilities.errors(messageConsumer.body(), TRACING_ID, TRACE_ID, SPAN_ID)));
}
logger.error("{}", new GPCLogEvent(className, "getByProductCode", data.cause(), new GPCEntry<>("OUT", System.currentTimeMillis()), new GPCEntry<>("TRACING_ID", TRACING_ID), new GPCEntry<>("TRACE_ID", TRACE_ID), new GPCEntry<>("SPAN_ID", SPAN_ID), new GPCEntry<>("TIME_TAKEN", ChronoUnit.MILLIS.between(requestReceivedTime_handler, LocalDateTime.now()))));
}
};
// Search based on product codes
gpcFlowable.getByGPID(TRACING_ID,
TRACE_ID,
SPAN_ID,
TermsConstant.DOCUMENT_KEY,
gpcFlowable.getByProductCode(TRACING_ID, TRACE_ID, SPAN_ID, messageConsumer.body().getString("product_codes"),
TermsConstant.API_VERSION_V1), // Get the GPID for the given IA or ORG~LOGO~PCT code
TermsConstant.API_VERSION_V1,
CreditCardTerms.class)
.subscribe(doc -> dataHandler.handle(Future.succeededFuture(doc)),
error -> dataHandler.handle(Future.failedFuture(error)));
}
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The precedence of polling of the consumer in batch mode
spring.kafka.consumer.max-poll-records = 2000 //each record of size 5kb takes 100 ms so to process entire batch takes 500 sec i.e 8 min 20 sec spring.kafka.consumer.properties.max.poll.interval.ms = 900000 //15 min spring.kafka.consumer.properties.fetch.max.wait.ms = 600000 //10 min spring.kafka.consumer.properties.max.partition.fetch.bytes = 10485760 //10MB spring.kafka.consumer.fetch-min-size = 5242880 // fetch.min.bytes - 5mb spring.kafka.listener.concurrency = 1 With the above configuration the consumer is continously polling the records its respective intervals like sometimes 2 mins, 3 mins eventhough fetch.max.wait.ms has been set it as as 10 min. How this is happening ? May i know the precedence of polling ? is it based on the max-poll-records, fetch.max.wait.ms ,max.partition.fetch.bytes or fetch-min-size ? EDIT: I tried to maximize the below attribute values to fetch maximum records, but still seeing only 200 to 300 records are getting processed. spring.kafka.consumer.properties.max.poll.interval.ms = 900000 //15 min spring.kafka.consumer.max-poll-records = 2000 //each record of size 5kb takes 100 ms so to process entire batch, takes 2000*100 ms =200sec i.e 3 min 20 sec which is way less than the max poll interval (10min) spring.kafka.consumer.properties.fetch.max.wait.ms = 600000 //10 min spring.kafka.consumer.properties.max.partition.fetch.bytes = 20971520 //20MB spring.kafka.consumer.fetch-min-size = 104857600 // fetch.min.bytes - 20mb Am i doing something wrong?
Assuming the records are exactly 5kb, the poll will return when 1k records are received or 10 minutes elapse, whichever happens first. You will only ever get max.poll.records if they are immediately available. EDIT It looks to me like these "smaller" batches are the remnants of the previous fetch; with this code: #SpringBootApplication public class So68201599Application { private static final Logger log = LoggerFactory.getLogger(So68201599Application.class); public static void main(String[] args) { SpringApplication.run(So68201599Application.class, args); } #KafkaListener(id = "so68201599", topics = "so68201599", autoStartup = "false") public void listen(ConsumerRecords<?, ?> in) { log.info("" + in.count() + "\n" + in.partitions().stream() .map(part -> "" + part.partition() + "(" + in.records(part).size() + ")") .collect(Collectors.toList())); } #Bean public NewTopic topic() { return TopicBuilder.name("so68201599").partitions(10).replicas(1).build(); } #Bean public ApplicationRunner runner(KafkaTemplate<String, String> template, KafkaListenerEndpointRegistry registry) { String msg = new String(new byte[1024*5]); return args -> { List<Future<?>> futures = new ArrayList<>(); IntStream.range(0, 9000).forEach(i -> futures.add(template.send("so68201599", msg))); futures.forEach(fut -> { try { fut.get(10, TimeUnit.SECONDS); } catch (InterruptedException e) { Thread.currentThread().interrupt(); e.printStackTrace(); } catch (ExecutionException e) { e.printStackTrace(); } catch (TimeoutException e) { e.printStackTrace(); } }); log.info("Sent"); registry.getListenerContainer("so68201599").start(); }; } } and spring.kafka.consumer.max-poll-records = 2000 spring.kafka.consumer.properties.fetch.max.wait.ms = 10000 spring.kafka.consumer.fetch-min-size = 10240000 spring.kafka.consumer.auto-offset-reset=earliest spring.kafka.listener.type=batch I get 2021-07-08 15:04:11.131 INFO 45792 --- [o68201599-0-C-1] com.example.demo.So68201599Application : 2000 [1(201), 0(201), 5(201), 4(201), 3(201), 2(201), 9(201), 8(201), 7(201), 6(191)] 2021-07-08 15:04:11.137 INFO 45792 --- [o68201599-0-C-1] com.example.demo.So68201599Application : 10 [6(10)] 2021-07-08 15:04:21.170 INFO 45792 --- [o68201599-0-C-1] com.example.demo.So68201599Application : 1809 [1(201), 0(201), 5(201), 4(201), 3(201), 2(201), 9(201), 8(201), 7(201)] 2021-07-08 15:04:21.214 INFO 45792 --- [o68201599-0-C-1] com.example.demo.So68201599Application : 2000 [1(201), 0(201), 5(201), 4(201), 3(201), 2(201), 9(201), 8(201), 7(201), 6(191)] 2021-07-08 15:04:21.215 INFO 45792 --- [o68201599-0-C-1] com.example.demo.So68201599Application : 10 [6(10)] 2021-07-08 15:04:31.248 INFO 45792 --- [o68201599-0-C-1] com.example.demo.So68201599Application : 1809 [1(201), 0(201), 5(201), 4(201), 3(201), 2(201), 9(201), 8(201), 7(201)] 2021-07-08 15:04:41.267 INFO 45792 --- [o68201599-0-C-1] com.example.demo.So68201599Application : 1083 [1(27), 0(87), 5(189), 4(93), 3(114), 2(129), 9(108), 8(93), 7(42), 6(201)] 2021-07-08 15:04:51.276 INFO 45792 --- [o68201599-0-C-1] com.example.demo.So68201599Application : 201 [6(201)] 2021-07-08 15:05:01.279 INFO 45792 --- [o68201599-0-C-1] com.example.demo.So68201599Application : 78 [6(78)] I don't know why the second and the three penultimate fetches timed out, though.
Producing from localhost to Kafka in HDP Sandbox 2.6.5 not working
I am writing Kafka client producer as: public class BasicProducerExample { public static void main(String[] args){ Properties props = new Properties(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "127.0.0.1:9092"); props.put(ProducerConfig.ACKS_CONFIG, "all"); props.put(ProducerConfig.RETRIES_CONFIG, 0); props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer"); props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer"); //props.put(ProducerConfig. props.put("batch.size","16384");// maximum size of message Producer<String, String> producer = new KafkaProducer<String, String>(props); TestCallback callback = new TestCallback(); Random rnd = new Random(); for (long i = 0; i < 2 ; i++) { //ProducerRecord<String, String> data = new ProducerRecord<String, String>("dke", "key-" + i, "message-"+i ); //Topci and Message ProducerRecord<String, String> data = new ProducerRecord<String, String>("dke", ""+i); producer.send(data, callback); } producer.close(); } private static class TestCallback implements Callback { #Override public void onCompletion(RecordMetadata recordMetadata, Exception e) { if (e != null) { System.out.println("Error while producing message to topic :" + recordMetadata); e.printStackTrace(); } else { String message = String.format("sent message to topic:%s partition:%s offset:%s", recordMetadata.topic(), recordMetadata.partition(), recordMetadata.offset()); System.out.println(message); } } } } OUTPUT: Error while producing message to topic :null org.apache.kafka.common.errors.TimeoutException: Failed to update metadata after 60000 ms. NOTE: Broker port: localhost:6667 is working.
In your property for BOOTSTRAP_SERVERS_CONFIG, try changing the port number to 6667. Thanks. -- Hiren
I use Apache Kafka on a Hortonworks (HDP 2.X release) installation. The error message encountered means that Kafka producer was not able to push the data to the segment log file. From a command-line console, that would mean 2 things : You are using incorrect port for the brokers Your listener config in server.properties are not working If you encounter the error message while writing via scala api, additionally check connection to kafka cluster using telnet <cluster-host> <broker-port> NOTE: If you are using scala api to create topic, it takes sometime for the brokers to know about the newly created topic. So, immediately after topic creation, the producers might fail with the error Failed to update metadata after 60000 ms. I did the following checks in order to resolve this issue: The first difference once I check via Ambari is that Kafka brokers listen on port 6667 on HDP 2.x (apache kafka uses 9092). listeners=PLAINTEXT://localhost:6667 Next, use the ip instead of localhost. I executed netstat -na | grep 6667 tcp 0 0 192.30.1.5:6667 0.0.0.0:* LISTEN tcp 1 0 192.30.1.5:52242 192.30.1.5:6667 CLOSE_WAIT tcp 0 0 192.30.1.5:54454 192.30.1.5:6667 TIME_WAIT So, I modified the producer call to user the IP and not localhost: ./kafka-console-producer.sh --broker-list 192.30.1.5:6667 --topic rdl_test_2 To monitor if you have new records being written, monitor the /kafka-logs folder. cd /kafka-logs/<topic name>/ ls -lart -rw-r--r--. 1 kafka hadoop 0 Feb 10 07:24 00000000000000000000.log -rw-r--r--. 1 kafka hadoop 10485756 Feb 10 07:24 00000000000000000000.timeindex -rw-r--r--. 1 kafka hadoop 10485760 Feb 10 07:24 00000000000000000000.index Once, the producer successfully writes, the segment log-file 00000000000000000000.log will grow in size. See the size below: -rw-r--r--. 1 kafka hadoop 10485760 Feb 10 07:24 00000000000000000000.index -rw-r--r--. 1 kafka hadoop **45** Feb 10 09:16 00000000000000000000.log -rw-r--r--. 1 kafka hadoop 10485756 Feb 10 07:24 00000000000000000000.timeindex At this point, you can run the consumer-console.sh: ./kafka-console-consumer.sh --bootstrap-server 192.30.1.5:6667 --topic rdl_test_2 --from-beginning response is hello world After this step, if you want to produce messages via the Scala API's , then change the listeners value(from localhost to a public IP) and restart Kafka brokers via Ambari: listeners=PLAINTEXT://192.30.1.5:6667 A Sample producer will be as follows: package com.scalakafka.sample import java.util.Properties import java.util.concurrent.TimeUnit import org.apache.kafka.clients.producer.{ProducerRecord, KafkaProducer} import org.apache.kafka.common.serialization.{StringSerializer, StringDeserializer} class SampleKafkaProducer { case class KafkaProducerConfigs(brokerList: String = "192.30.1.5:6667") { val properties = new Properties() val batchsize :java.lang.Integer = 1 properties.put("bootstrap.servers", brokerList) properties.put("key.serializer", classOf[StringSerializer]) properties.put("value.serializer", classOf[StringSerializer]) // properties.put("serializer.class", classOf[StringDeserializer]) properties.put("batch.size", batchsize) // properties.put("linger.ms", 1) // properties.put("buffer.memory", 33554432) } val producer = new KafkaProducer[String, String](KafkaProducerConfigs().properties) def produce(topic: String, messages: Iterable[String]): Unit = { messages.foreach { m => println(s"Sending $topic and message is $m") val result = producer.send(new ProducerRecord(topic, m)).get() println(s"the write status is ${result}") } producer.flush() producer.close(10L, TimeUnit.MILLISECONDS) } } Hope this helps someone.
Gatling. ConnectException: connection timed out:
I'm new in gatling and now experimenting with Gatling on its website computer-database.gatling.io. Everything is working fine and i'm going to apply load test for my project at work in few days, but one problem, I need 2000 users/per second for my website (it seems not a big deal for gatling as I read on other recourses) I have this simple code: where I want to load 250 users/admins during 300 seconds, and now issues and questions (Please, help me figure this out) When I've started this script: package load import io.gatling.core.Predef._ import io.gatling.http.Predef._ import io.gatling.core.structure.ChainBuilder import io.gatling.jdbc.Predef.jdbcFeeder import scala.util.Random import scala.concurrent.duration._ class TestOvo extends Simulation { val httpProtocol = http .baseURL("http://computer-database.gatling.io") .acceptHeader("text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8") .acceptEncodingHeader("gzip, deflate") .acceptLanguageHeader("en-US,en;q=0.8") .userAgentHeader("Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36") val headers_0 = Map("Upgrade-Insecure-Requests" -> "1") val headers_10 = Map( "Origin" -> "http://computer-database.gatling.io", "Upgrade-Insecure-Requests" -> "1") object Search { val search = exec(http("request_0") .get("/") .headers(headers_0)) .pause(1) .exec(http("request_1") .get("/computers?f=macbook") .headers(headers_0)) .pause(2) .exec(http("request_2") .get("/computers/89") .headers(headers_0)) .pause(2) .exec(http("request_3") .get("/") .headers(headers_0)) .pause(2) } object Browse { val browse = exec(http("request_4") .get("/computers?p=1") .headers(headers_0)) .pause(1) .exec(http("request_5") .get("/computers?p=2") .headers(headers_0)) .pause(1) .exec(http("request_6") .get("/computers?p=3") .headers(headers_0)) .pause(2) .exec(http("request_7") .get("/computers?p=4") .headers(headers_0) .resources(http("request_8") .get("/computers?p=5") .headers(headers_0))) .pause(1) } object Edit { val edit = exec(http("request_9") .get("/computers/new") .headers(headers_0)) .pause(1) .exec(http("request_10") .post("/computers") .headers(headers_10) .formParam("name", "VoxooBox") .formParam("introduced", "12.11.2017") .formParam("discontinued", "") .formParam("company", "16") .check(status.is(400))) .pause(1) .exec(http("request_11") .post("/computers") .headers(headers_10) .formParam("name", "VoxooBox") .formParam("introduced", "2017.08.17") .formParam("discontinued", "") .formParam("company", "16") .check(status.is(400))) .pause(1) .exec(http("request_12") .post("/computers") .headers(headers_10) .formParam("name", "VoxooBox") .formParam("introduced", "2017-08-17") .formParam("discontinued", "") .formParam("company", "16")) } val users = scenario("Users").exec(Search.search, Browse.browse); val admins = scenario("Admins").exec(Search.search, Browse.browse, Edit.edit); setUp( users.inject(constantUsersPerSec(200) during (300 seconds)), admins.inject(constantUsersPerSec(50) during (300 seconds)) ).protocols(httpProtocol) } it goes maximum to indicator of users: ================================================================================ 2017-10-17 14:47:20 25s elapsed ---- Requests ------------------------------------------------------------------ > Global (OK=15950 KO=0 ) > request_0 (OK=5046 KO=0 ) > request_0 Redirect 1 (OK=3829 KO=0 ) > request_1 (OK=2582 KO=0 ) > request_2 (OK=1589 KO=0 ) > request_3 (OK=1249 KO=0 ) > request_3 Redirect 1 (OK=897 KO=0 ) > request_4 (OK=423 KO=0 ) > request_5 (OK=224 KO=0 ) > request_6 (OK=88 KO=0 ) > request_7 (OK=17 KO=0 ) > request_8 (OK=6 KO=0 ) ---- Users --------------------------------------------------------------------- [------ ] 0% waiting: 55156 / active: 4842 / done:2 ---- Admins -------------------------------------------------------------------- [------ ] 0% waiting: 13788 / active: 1212 / done:0 ================================================================================ 14:47:21.107 [WARN ] i.g.h.a.ResponseProcessor - Request 'request_5' failed: j.n.ConnectException: connection timed out: computer-database.gatling.io/35.158.229.206:80 And then arise these kind of errors: [WARN ] i.g.h.a.ResponseProcessor - Request 'request_4' failed: j.n.ConnectException: connection timed out: computer-database.gatling.io/35.158.229.206:80 13:31:12.407 [WARN ] i.g.h.a.ResponseProcessor - Request 'request_4' failed: j.n.ConnectException: Failed to open a socket. In gatling.conf I found these rows: ahc { #keepAlive = true # Allow pooling HTTP connections (keep-alive header automatically added) #connectTimeout = 10000 # Timeout when establishing a connection #handshakeTimeout = 10000 # Timeout when performing TLS hashshake #pooledConnectionIdleTimeout = 60000 # Timeout when a connection stays unused in the pool #readTimeout = 60000 # Timeout when a used connection stays idle #maxRetry = 2 # Number of times that a request should be tried again #requestTimeout = 60000 # Timeout of the requests #acceptAnyCertificate = true # When set to true, doesn't validate SSL certificates #httpClientCodecMaxInitialLineLength = 4096 # Maximum length of the initial line of the response (e.g. "HTTP/1.0 200 OK") #httpClientCodecMaxHeaderSize = 8192 # Maximum size, in bytes, of each request's headers #httpClientCodecMaxChunkSize = 8192 # Maximum length of the content or each chunk #webSocketMaxFrameSize = 10240000 # Maximum frame payload size i guess it may be somehow related to my issue, or what i'm doing wrong? Is that my side-issue or their website just can't take it? And why when I launch users.inject(constantUsersPerSec(200) during (300 seconds)), admins.inject(constantUsersPerSec(50) during (300 seconds)) In terminal it's waiting: 55156 / active: 4842 / done:2 waiting: 13788 / active: 1212 / done:0 so many? How is it calculated? or why at all, explain someone to me, please. Thanks. My Computer: MAC OS Version: 10.12.6 ( Processor: 2.6 GHz Intel Core i5 Memory: 8 GB 1600 MHz DDR3
constantUsersPerSec() is about the number of users you're injecting, not the number of total users. constantUsersPerSec(200) during (300 seconds), that's 60k users. So, that matches with waiting: 55156 / active: 4842 / done:2= 60k users. I think that what you actually want is to inject users using the following strategy: rampUsers(10) over (300 seconds)