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Update transactions.md
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@@ -43,3 +43,30 @@ main = do
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print (functionType gr "f", functionType gr2 "f")
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```
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The last line prints the type of function `"f"` in both the old and the new revision. Both are still available.
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The API as described so far would have been complete if all updates were happening in a single thread. In reality we can expect that there might be several threads or processes modifying the database. The database ensures a multiple readers/single writer exclusion but this doesn't mean that another process/thread cannot modify the database while the current one is reading an old revision. In a parallel setting, `modifyPGF` first merges the revision which the process is using with the latest revision in the database. On top of that the specified updates are performed. The final revision after the updates is returned as a result.
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**TODO: Interprocess synhronization is still not implemented**
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**TODO: Merges are still not implemented.**
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The process can also ask for the latest revision by calling `checkoutPGF`, see bellow.
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# Databases and Imperative Languages
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In imperative languages, the state of the program constantly changes and the considerations in the last section do not apply. All read-only operations always work with the latest revision. Bellow is the previous example translated to Python:
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```Python
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gr = readNGF("Example.ngf")
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print(functionType(gr,"f"))
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with gr.transaction() as t:
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# do all updates here by using t
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print(functionType(gr,"f"))
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```
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Here the first call to `functionType` returns the old type of "f", while the second call retrives the type after the updates.
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# Branches
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# Implementation
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## Persistent Data Structures
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## Garbage Collection
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## Atomicity
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