[ 
https://issues.apache.org/jira/browse/KAFKA-7514?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Stanislav Kozlovski resolved KAFKA-7514.
----------------------------------------
    Resolution: Fixed

> Trogdor - Support Multiple Threads in ConsumeBenchWorker
> --------------------------------------------------------
>
>                 Key: KAFKA-7514
>                 URL: https://issues.apache.org/jira/browse/KAFKA-7514
>             Project: Kafka
>          Issue Type: Improvement
>            Reporter: Stanislav Kozlovski
>            Assignee: Stanislav Kozlovski
>            Priority: Minor
>
> Trogdor's ConsumeBenchWorker currently uses only two threads - one for the 
> StatusUpdater:
> {code:java}
> this.statusUpdaterFuture = executor.scheduleAtFixedRate(
>         new StatusUpdater(latencyHistogram, messageSizeHistogram), 1, 1, 
> TimeUnit.MINUTES);
> {code}
> and one for the consumer task itself
> {code:java}
> executor.submit(new ConsumeMessages(partitions));
> {code}
> A sample ConsumeBenchSpec specification in JSON looks like this:
> {code:java}
> {
>     "class": "org.apache.kafka.trogdor.workload.ConsumeBenchSpec",
>     "durationMs": 10000000,
>     "consumerNode": "node0",
>     "bootstrapServers": "localhost:9092",
>     "maxMessages": 100,
>     "activeTopics": {
>         "foo[1-3]": {
>             "numPartitions": 3,
>             "replicationFactor": 1
>         }
>     }
> }
> {code}
>  
>  
> h2. Motivation
> This does not make the best use of machines with multiple cores. It would be 
> useful if there was a way to configure the ConsumeBenchSpec to use multiple 
> threads and spawn multiple consumers. This would also allow the 
> ConsumeBenchWorker to work with a higher amount of throughput due to the 
> parallelism taking place.
>  
> h2.  
> h2. Proposal
> Add a new `consumerCount` property to the ConsumeBenchSpec allowing you to 
> run multiple consumers in parallel 
> h2. Changes
> By default, it will have a value of 1.
> `activeTopics` will still be defined in the same way. They will be evenly 
> assigned to the consumers in a round-robin fashion.
> For example, if we have this configuration
> {code:java}
> {
>     "class": "org.apache.kafka.trogdor.workload.ConsumeBenchSpec",
>     "durationMs": 10000000,
>     "consumerNode": "node0",
>     "bootstrapServers": "localhost:9092",
>     "maxMessages": 100,
>     "consumerCount": 2,
>     "activeTopics": {
>         "foo[1-4]": {
>             "numPartitions": 4,
>             "replicationFactor": 1
>         }
>     }
> }{code}
> consumer 1 will be assigned partitions [foo1, foo3]
> consumer 2 will be assigned partitions [foo2, foo4]
> and the ConsumeBenchWorker will spawn 4 threads in total in the executor (2 
> for every consumer).
>  
> The `maxMessages` and `targetMessagesPerSec` will be counted independently 
> for every consumer
> h3. Status
> The way the worker's status will be updated as well. 
> A ConsumeBenchWorker shows the following status when queried with 
> `./bin/trogdor.sh client --show-tasks localhost:8889`
>  
> {code:java}
> "tasks" : { "consume_bench_19938" : { "state" : "DONE", "spec" : { "class" : 
> "org.apache.kafka.trogdor.workload.ConsumeBenchSpec", 
> ...
> "status" : { "totalMessagesReceived" : 190, "totalBytesReceived" : 98040, 
> "averageMessageSizeBytes" : 516, "averageLatencyMs" : 449.0, "p50LatencyMs" : 
> 449, "p95LatencyMs" : 449, "p99LatencyMs" : 449 } },{code}
> We will change it to show the status of every separate consumer and the topic 
> partitions it was assigned to
> {code:java}
> "tasks" : { 
> "consume_bench_19938" : 
> {
> "state" : "DONE",
> "spec" : { "class" : "org.apache.kafka.trogdor.workload.ConsumeBenchSpec", 
> ... }
> ...
> "status":{  
>    "consumer-1":{  
>       "assignedPartitions":[  
>          "foo1",
>          "foo3"
>       ],
>       "totalMessagesReceived":190,
>       "totalBytesReceived":98040,
>       "averageMessageSizeBytes":516,
>       "averageLatencyMs":449.0,
>       "p50LatencyMs":449,
>       "p95LatencyMs":449,
>       "p99LatencyMs":449
>    },
> "consumer-2":{  
>       "assignedPartitions":[  
>          "foo2",
>          "foo4"
>       ],
>       "totalMessagesReceived":190,
>       "totalBytesReceived":98040,
>       "averageMessageSizeBytes":516,
>       "averageLatencyMs":449.0,
>       "p50LatencyMs":449,
>       "p95LatencyMs":449,
>       "p99LatencyMs":449
>    }
> }
> },{code}
>  
>  
> h2.  
> Backwards Compatibility:
> This change should be mostly backwards-compatible. If the `consumerThreads` 
> is not passed - only one consumer will be created and the round-robin 
> assignor will assign every partition to it.
> The only change will be in the format of the reported status. Even with one 
> consumer, we will still show a status similar to
> {code:java}
> "status":{  
>    "consumer-1":{  
>       "assignedPartitions":[  
>          "foo1",
>          "foo3"
>       ],
>       "totalMessagesReceived":190,
>       "totalBytesReceived":98040,
>       "averageMessageSizeBytes":516,
>       "averageLatencyMs":449.0,
>       "p50LatencyMs":449,
>       "p95LatencyMs":449,
>       "p99LatencyMs":449
>    }
> }
> {code}
>  



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Reply via email to