Should I commit or rollback a read transaction?

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臣服心动
臣服心动 2020-12-02 10:42

I have a read query that I execute within a transaction so that I can specify the isolation level. Once the query is complete, what should I do?

  • Commit the tr
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  • 2020-12-02 11:36

    ROLLBACK is mostly used in case of an error or exceptional circumstances, and COMMIT in the case of successful completion.

    We should close transactions with COMMIT (for success) and ROLLBACK (for failure), even in the case of read-only transactions where it doesn't seem to matter. In fact it does matter, for consistency and future-proofing.

    A read-only transaction can logically "fail" in many ways, for example:

    • a query does not return exactly one row as expected
    • a stored procedure raises an exception
    • data fetched is found to be inconsistent
    • user aborts the transaction because it's taking too long
    • deadlock or timeout

    If COMMIT and ROLLBACK are used properly for a read-only transaction, it will continue to work as expected if DB write code is added at some point, e.g. for caching, auditing or statistics.

    Implicit ROLLBACK should only be used for "fatal error" situations, when the application crashes or exits with an unrecoverable error, network failure, power failure, etc.

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  • 2020-12-02 11:39

    If you put the SQL into a stored procedure and add this above the query:

    set transaction isolation level read uncommitted
    

    then you don't have to jump through any hoops in the C# code. Setting the transaction isolation level in a stored procedure does not cause the setting to apply to all future uses of that connection (which is something you have to worry about with other settings since the connections are pooled). At the end of the stored procedure it just goes back to whatever the connection was initialized with.

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  • 2020-12-02 11:40

    IMHO it can make sense to wrap read only queries in transactions as (especially in Java) you can tell the transaction to be "read-only" which in turn the JDBC driver can consider optimizing the query (but does not have to, so nobody will prevent you from issuing an INSERT nevertheless). E.g. the Oracle driver will completely avoid table locks on queries in a transaction marked read-only, which gains a lot of performance on heavily read-driven applications.

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  • 2020-12-02 11:40

    Do you need to block others from reading the same data? Why use a transaction?

    @Joel - My question would be better phrased as "Why use a transaction on a read query?"

    @Stefan - If you are going to use AdHoc SQL and not a stored proc, then just add the WITH (NOLOCK) after the tables in the query. This way you dont incur the overhead (albeit minimal) in the application and the database for a transaction.

    SELECT * FROM SomeTable WITH (NOLOCK)
    

    EDIT @ Comment 3: Since you had "sqlserver" in the question tags, I had assumed MSSQLServer was the target product. Now that that point has been clarified, I have edited the tags to remove the specific product reference.

    I am still not sure of why you want to make a transaction on a read op in the first place.

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  • 2020-12-02 11:43

    Given that a READ does not change state, I would do nothing. Performing a commit will do nothing, except waste a cycle to send the request to the database. You haven't performed an operation that has changed state. Likewise for the rollback.

    You should however, be sure to clean up your objects and close your connections to the database. Not closing your connections can lead to issues if this code gets called repeatedly.

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  • 2020-12-02 11:45

    You commit. Period. There's no other sensible alternative. If you started a transaction, you should close it. Committing releases any locks you may have had, and is equally sensible with ReadUncommitted or Serializable isolation levels. Relying on implicit rollback - while perhaps technically equivalent - is just poor form.

    If that hasn't convinced you, just imagine the next guy who inserts an update statement in the middle of your code, and has to track down the implicit rollback that occurs and removes his data.

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