//arrow-fx-stm/arrow.fx.stm/atomically

atomically

common suspend fun <A> atomically(f: STM.() -> A): A

Run a transaction to completion.

This comes with the guarantee that, at the time of committing the transaction, all read variables have a consistent state (they have not changed after the first read). Otherwise the transaction will be aborted and run again.

Note that only reads and writes inside a single transaction have this guarantee. Code that calls atomically as follows will again be subject to race conditions: atomically { v.read() }.let { atomically { v.write(it + 1) } }. Because those are separate transactions the value inside v might change between transactions! The only safe way is to do it in one go: atomically { v.write(v.read() + 1) }

Transactions that only read or access completely disjoint set of TVar’s will be able to commit in parallel as STM in arrow uses an approach the locks only modified TVar’s on commit. Only calls to STM.write need to be synchronized, however the performance of STM is still heavily linked to the amount of TVar’s accessed so it is good practice to keep transactions short.

Keeping transactions short has another benefit which comes from another drawback of STM: There is no notion of fairness when it comes to transactions. The fastest transaction always wins. This can be problematic if a large number of small transactions starve out a larger transaction by forcing it to retry a lot. In practice this rarely happens, however to avoid such a scenario it is recommended to keep transactions small.

This may suspend if STM.retry is called and no accessed TVar changed. It will then resume automatically after any accessed TVar changed.

Rethrows all exceptions not caught by inside f. Remember to use STM.catch to handle exceptions as try {} catch will not handle transaction state properly!

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