я делаю некоторое сравнительное сравнение между платформами потоковой обработки,
Я выбрал WordCount, такую задачу Hello world (с некоторыми поворотами) в этой области, и до сих пор тестировал Flink и Hazelcast Jet, в результате Flink требуется 80+ с, а Jet - только 30+.
Я знаю, что Flink очень популярен, что я здесь не так? Очень любопытно об этом
Мой пример кода здесь
https://github.com/ChinW/stream-processing-compare
Ниже приведены подробности (спецификация, конвейер, журнал)
Протестированный конвейер WordCount
Source (read from file, 5MB)
-> Process: Split line into words (Here here is a bomb, every word emit 1000 times)
-> Group/Count
-> Sink (do nothing)
My Local Result
- MacBook Pro (13 дюймов, 2020 г., четыре порта Thunderbolt 3)
- Четырехъядерный процессор Intel Core i5 с тактовой частотой 2 ГГц (8 логических процессоров)
- 16 ГБ 3733 МГц LPDDR4X
- JDK 11
Трубопровод:
digraph DAG {
"items" [localParallelism=1];
"fused(flat-map, filter)" [localParallelism=8];
"group-and-aggregate-prepare" [localParallelism=8];
"group-and-aggregate" [localParallelism=8];
"do-nothing-sink" [localParallelism=1];
"items" -> "fused(flat-map, filter)" [queueSize=1024];
"fused(flat-map, filter)" -> "group-and-aggregate-prepare" [label="partitioned", queueSize=1024];
subgraph cluster_0 {
"group-and-aggregate-prepare" -> "group-and-aggregate" [label="distributed-partitioned", queueSize=1024];
}
"group-and-aggregate" -> "do-nothing-sink" [queueSize=1024];
}
Журнал:
Start time: 2021-04-18T13:52:52.106
Duration: 00:00:36.459
Jet: finish in 36.45935081 seconds.
Start time: 2021-04-19T16:51:53.806
Duration: 00:00:30.143
Jet: finish in 30.625740453 seconds.
Start time: 2021-04-19T16:52:48.906
Duration: 00:00:37.207
Jet: finish in 37.862554137 seconds.
Flink 1.12.2 for Scala 2.11
flink-config.yaml
Конфигурация:
jobmanager.rpc.address: localhost
jobmanager.rpc.port: 6123
jobmanager.memory.process.size: 2096m
taskmanager.memory.process.size: 12288m
taskmanager.numberOfTaskSlots: 8
parallelism.default: 8
Трубопровод:
{
"nodes" : [ {
"id" : 1,
"type" : "Source: Custom Source",
"pact" : "Data Source",
"contents" : "Source: Custom Source",
"parallelism" : 1
}, {
"id" : 2,
"type" : "Flat Map",
"pact" : "Operator",
"contents" : "Flat Map",
"parallelism" : 8,
"predecessors" : [ {
"id" : 1,
"ship_strategy" : "REBALANCE",
"side" : "second"
} ]
}, {
"id" : 4,
"type" : "Keyed Aggregation",
"pact" : "Operator",
"contents" : "Keyed Aggregation",
"parallelism" : 8,
"predecessors" : [ {
"id" : 2,
"ship_strategy" : "HASH",
"side" : "second"
} ]
}, {
"id" : 5,
"type" : "Sink: Unnamed",
"pact" : "Data Sink",
"contents" : "Sink: Unnamed",
"parallelism" : 8,
"predecessors" : [ {
"id" : 4,
"ship_strategy" : "FORWARD",
"side" : "second"
} ]
} ]
}
Журнал:
❯ flink run -c chiw.spc.flink.FlinkWordCountKt stream-processing-compare-1.0-SNAPSHOT.jar
Job has been submitted with JobID 163ce849a663e45f3c3028a98f260e7c
Program execution finished
Job with JobID 163ce849a663e45f3c3028a98f260e7c has finished.
Job Runtime: 88614 ms
❯ flink run -c chiw.spc.flink.FlinkWordCountKt stream-processing-compare-1.0-SNAPSHOT.jar
Job has been submitted with JobID fcf12488204969299e4e5d7f23f4ea6e
Program execution finished
Job with JobID fcf12488204969299e4e5d7f23f4ea6e has finished.
Job Runtime: 90165 ms
❯ flink run -c chiw.spc.flink.FlinkWordCountKt stream-processing-compare-1.0-SNAPSHOT.jar
Job has been submitted with JobID 37e349e4fad90cd7405546d30239afa4
Program execution finished
Job with JobID 37e349e4fad90cd7405546d30239afa4 has finished.
Job Runtime: 78908 ms
Большое спасибо за помощь!