[INLONG-7072][Manager][Sort] Resource adaptive adjustment for Hudi #7077
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dockerzhang
reviewed
Dec 29, 2022
| /inlong-sort/connectors | ||
| /plugins | ||
| /inlong-sort/sort-dist.jar | ||
| /inlong-manager/plugins |
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healchow
requested changes
Dec 30, 2022
| @@ -209,6 +209,10 @@ | |||
| "meta.Sinks.Hudi.PartitionFieldListHelp": "If the field type is timestamp, you must set the format of the field value, support MICROSECONDS, MILLISECONDS, SECONDS, SQL, ISO_8601, and custom, such as: yyyy-MM-dd HH:mm:ss, etc.", | |||
| "meta.Sinks.Hudi.FieldFormat": "FieldFormat", | |||
| "meta.Sinks.Hudi.ExtListHelper": "The DDL attribute of the hudi table needs to be prefixed with 'ddl.'", | |||
| "meta.Sinks.Hudi.RecordPreDayUnit": "row", | |||
| "meta.Sinks.Hudi.RecordPreDay": "RecordPreDay", | |||
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| ## Apache InLong dev toolkit |
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[INLONG-7072][Manager][Sort] Resource adaptive adjustment for Hudi
Motivation
Hudi flink jobs often have unreasonable resource allocation. Too much allocation will lead to waste of resources, and too little will lead to back pressure or OOM.
When allocating resources, you first need to determine the concurrency of the source side to ensure that there is no data backlog in the upstream when reading. Here is a general configuration situation, such as partitioning by day, with about 15 billion data per day, and about 50 concurrent configurations. Other data volumes can be converted appropriately.
After determining the concurrency on the source side, you can configure the concurrency of write according to the ratio of 1:1.5 or 1:2.
If OOM occurs in the write operator during operation, you can appropriately add write concurrency and TM memory.
If the following back pressure occurs, the concurrency can be adjusted according to the consumption difference between source and write. As follows, there is a difference of about 50W, that is, there is 50W of data that cannot keep up with the write, and then it can be based on the amount of successfully written data and the running (used) Time to calculate how much write concurrency is needed to calculate the difference of 50W.
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