> Before this PR, you cannot use -XX:AOTCache in the training run:
> 
> 
> $ java -XX:AOTCache=foo.aot -cp HelloWorld.jar \
>     -XX:AOTMode=record -XX:AOTConfiguration=hw.aotconfig \
>     HelloWorld
> [...] AOTCache must not be specified when using -XX:AOTMode=record
> 
> 
> However, in some cases, it may be desirable to train the AOT cache in two or 
> more steps. For example:
> 
> ## Separate Training for Framework and Application:
> 
> - First perform a training run to exercise commonly-used areas of the 
> framework.
> - Second, perform a training run of a specific application.
> 
> The idea is that important parts of the framework may not be covered by a 
> single application training run, but they may still be used in the production 
> run due to runtime-specific input.
> 
> 
> # Train the framework
> java -XX:AOTCacheOutput=first.aot -cp FrameWork.jar FrameWorkTraningHelper
> 
> # Train the app
> java -XX:AOTCache=first.aot -XX:AOTCacheOutput=second.aot -cp 
> FrameWork.jar:App.jar MyApp
> 
> # Production run using second.aot, which contains artifacts from
> # the first and second training runs
> java -XX:AOTCache=second.aot -cp FrameWork.jar:App.jar MyApp
> 
> Note that the classpaths of the training runs must be compatible. I.e., the 
> classpath of an earlier training run must be the same as, or the prefix of, 
> the classpath of a later training run.
> 
> ## Train the Same Application in Multiple Runs:
> 
> An application may perform 3 different operations. It's not easy to perform 
> all 3 operations in a single training run, as the 3 operations are 
> represented by 3 separate main classes (`WalkDog`, `FeedCat`, and 
> `WaterPlants`). So, we perform 3 separate training runs and combine the 
> results into a single AOT cache.
> 
> 
> # Training
> java -XX:AOTCacheOutput=tmp1.aot -cp MyApp.jar WalkDog
> java -XX:AOTCache=tmp1.aot -XX:AOTCacheOutput=tmp2.aot -cp MyApp.jar FeedCat
> java -XX:AOTCache=tmp2.aot -XX:AOTCacheOutput=final.aot -cp MyApp.jar 
> WaterPlants
> 
> # Production: final.aot contains artifacts for optimizing all 3 operations:
> java -XX:AOTCache=final.aot -cp MyApp.jar WalkDog
> java -XX:AOTCache=final.aot -cp MyApp.jar FeedCat
> java -XX:AOTCache=final.aot -cp MyApp.jar WaterPlants
> 
> 
> ---------
> - [x] I confirm that I make this contribution in accordance with the [OpenJDK 
> Interim AI Policy](https://openjdk.org/legal/ai).

Ioi Lam has updated the pull request incrementally with one additional commit 
since the last revision:

  @vnkozlov comment -- removed unnecessary code

-------------

Changes:
  - all: https://git.openjdk.org/jdk/pull/31344/files
  - new: https://git.openjdk.org/jdk/pull/31344/files/f73f146b..5caa5259

Webrevs:
 - full: https://webrevs.openjdk.org/?repo=jdk&pr=31344&range=01
 - incr: https://webrevs.openjdk.org/?repo=jdk&pr=31344&range=00-01

  Stats: 3 lines in 1 file changed: 0 ins; 3 del; 0 mod
  Patch: https://git.openjdk.org/jdk/pull/31344.diff
  Fetch: git fetch https://git.openjdk.org/jdk.git pull/31344/head:pull/31344

PR: https://git.openjdk.org/jdk/pull/31344

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