Cache dataflow errors #7193

hubertp · 2023-07-03T19:57:08Z

Pull Request Description

The logic in instrumentation specifically prohibited caching of panics (added in #1611).
Except it seems that the restriction was too aggressive because dataflow errors could be cached.
This indirectly fixes the problem with dataflow error in the context of a (temporary) change in execution context, which should keep around the old value.

Closes #7140.

After the fix:
fix_7140.webm

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radeusgd · 2023-07-03T23:28:59Z

Any reason we are not caching panics then?

It appears that if we keep not caching them, the same issue as described in #7140 will persist whenever a function panics.

radeusgd · 2023-07-03T23:31:55Z

I see now 02f801b (#1611).

So it seems we have a conflict:

caching Panics will cause issues with rerunning problematic nodes, especially when adding an import to resolve the problem,
not caching them, will cause problems of the workflow being recomputed if a dry-run panics.

hubertp · 2023-07-04T08:08:16Z

I see now 02f801b (#1611).

So it seems we have a conflict:

caching Panics will cause issues with rerunning problematic nodes, especially when adding an import to resolve the problem,

not caching them, will cause problems of the workflow being recomputed if a dry-run panics.

Yes, that's the reason. I knew that Panics can still cause problems but this is a much more tricky/less common issue than regular dataflow errors. I would suggest that we file a separate ticket instead, just for tracking panics.

radeusgd · 2023-07-04T14:39:00Z

I would suggest that we file a separate ticket instead, just for tracking panics.

I started a discussion then so we can decide how we want to handle this: https://github.com/orgs/enso-org/discussions/7203

GitHub
Caching results of a node if they panic · enso-org · Discussion #7203
The discussion under the PR fixing caching of dataflow errors (#7193) highlights a 'conflict' between two functionalities that we want. We are caching regular results, and with #7193 we will be (ar...

JaroslavTulach

Sane & tested.

...with-instruments/src/test/scala/org/enso/interpreter/test/instrument/RuntimeErrorsTest.scala

JaroslavTulach · 2023-07-05T05:05:36Z

...rument-id-execution/src/main/java/org/enso/interpreter/instrument/IdExecutionInstrument.java

@@ -250,7 +251,7 @@ public void onReturnExceptional(VirtualFrame frame, Throwable exception) {
    }

    private void onExpressionReturn(Object result, Node node, EventContext context) throws ThreadDeath {
-      boolean isPanic = result instanceof AbstractTruffleException;
+      boolean isPanic = result instanceof AbstractTruffleException && !(result instanceof DataflowError);


Is there any system in these checks at all (another example at https://github.com/enso-org/enso/pull/7205/files#diff-bfe95bc1ca4b016dccbab4fc97f23809a6c83d040de6ca8a6a615f02378e1a59R357)?

I am afraid we are just patching random parts of the Enso system without having a consistent classification of the objects and their roles. Everything seems to hold together just with some unit tests. At least we have them, but still...

I don't see a connection between this and the mentioned PR other than that we deal with DataFlowError. Yes, it's patching (not so random) parts of the Enso system and so what is wrong with that?
Alternatively we shouldn't match on AbstractTruffleException at all and wrap it into something we can control. Is it a better solution? That's debatable.

what is wrong with that?

It is perfectly pragmatic behavior. I am a huge fan of pragmatism. However sometimes I a masking myself - shouldn't we be more [rationalistic]http://wiki.apidesign.org/wiki/Rationalism) when designing a language?

Possibly more consistency than patching would make the language better...

The logic in instrumentation specifically prohibited caching of panics. Except it seems that the restriction was too aggressive because dataflow errors could be. This indirectly fixes the problem with dataflow error in the context of (temporary)change in execution context, which should keep around the old value.

hubertp · 2023-07-05T12:28:30Z

@radeusgd could I get a 👍 while the discussion considers the, much less frequent, case of panics?

radeusgd

Sure.

The fix looks ok, but I agree with the notion brought up by @JaroslavTulach - the complexity of the system grows and there is a lot of special cases and it does not seem like we have a systematic way of handling them - that feels a bit worrying in terms of extending it in the future - but that is a topic not for this PR.

@JaroslavTulach shall we start a discussion about this? You are probably better suited to express the issue clearly (I have more like a vague intuition here)

hubertp · 2023-07-06T15:25:45Z

I will see if I can extract some of the special logic for panics and other errors so that it is defined in a single place, if possible. But as a follow up PR.

This reverts commit a79f751.

hubertp requested review from jdunkerley, radeusgd, GregoryTravis, 4e6, JaroslavTulach and Akirathan as code owners July 3, 2023 19:57

hubertp force-pushed the wip/hubert/7140-cache-dataflow-errors branch from 903f21d to 4a4a538 Compare July 4, 2023 09:32

JaroslavTulach approved these changes Jul 5, 2023

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hubertp added 5 commits July 5, 2023 11:13

Test for caching dataflow errors

e3e65c2

changelog

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fmt

1f4144d

nits

a79f751

hubertp force-pushed the wip/hubert/7140-cache-dataflow-errors branch from 4a4a538 to a79f751 Compare July 5, 2023 09:13

radeusgd approved these changes Jul 5, 2023

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GregoryTravis approved these changes Jul 5, 2023

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jdunkerley approved these changes Jul 6, 2023

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hubertp added the CI: Ready to merge This PR is eligible for automatic merge label Jul 6, 2023

Revert "nits"

89bf910

This reverts commit a79f751.

mergify bot merged commit 9dcf48a into develop Jul 9, 2023

mergify bot deleted the wip/hubert/7140-cache-dataflow-errors branch July 9, 2023 14:45

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Cache dataflow errors #7193

Cache dataflow errors #7193

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Cache dataflow errors #7193

Cache dataflow errors #7193

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Pull Request Description

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