Databases: Making a Log of actions, how to handle various references?

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离开以前 2021-02-06 11:44

hope you all had a happy new year.

So, my question is, what\'s the best way to make a log of actions. Let me explain it with a example, suppose we have these entities:

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  • 2021-02-06 12:18

    My answer to Whats a better strategy for storing log data in a database?:

    It depends on the purpose of logging. For debugging and general monitoring purpose, a single log table with dynamic log level would be helpful so you can chronologically look at what the system is going through.

    On the other hand, for audit trail purpose, there's nothing like having duplicate table for all tables with every CRUD action. This way, every information captured in the payment table or whatever would be captured in your audit table.

    So, the answer is both.

    Edit: To implement it cleanly with referential integrity and have all the flexibility, I suggest having duplicate audit trail table for all CRUDs for each table even if it's "heavy." The business rules are more volatile compared to data structures anyway, so by keeping log logic in code/query you retain the flexibility. For example, suppose you decided not to track when the users left a group. Later day, the clients asked that it's very important to track the information. All you have to do now is change the query so deletion of user_group record is part of the result.

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  • 2021-02-06 12:23

    The following is how I would do it. I have some more comments at the bottom after you have seen the schema.

    Log

    LogID - unique log ID

    Time - date/time of event

    LogType - String or ID

    (side comment, I would go with an id here so you can use a message table shown below, but if you want quick n dirty you can just just a unique string for each log time (eg "Game Started", "Message Sent", etc)

    LogActor

    LogID - external key

    LogActorType - String or ID (as above, if ID you will need a lookup table)

    LogActorID - This is a unique id to the table for the type eg User, Group, Game

    Sequence - this is an ordering of the actors.

    LogMessage

    LogType - exernal key

    Message - long string (varchar(max)?)

    Language - string(5) so you can key off different language eg "US-en"

    Example Data (using your 3 examples)

    Log

    ID  Time   LogType 
    1   1/1/10 1
    2   1/1/10 2
    3   1/1/10 3
    

    LogActor

    LogID LogActorType LogActorID Sequence
    1     User         1          1
    1     User         2          2
    2     User         1          1
    2     User         2          2
    2     User         2          3
    2     Game         1          4
    3     User         3          1
    3     Group        1          2
    

    LogMessage

    LogType Message 
    1       {0} Made a new friend {1}
    2       {0}, {1}, {2} played a game ({3})
    3       {0} joined a group ({1})
    

    User

    ID Name
    1  User A
    2  User B
    3  User C
    

    Game

    ID Name
    1  Name of game
    

    Group

    ID Name
    1  Name of group
    

    So here are the nice things about this design.

    • It is very easy to extend

    • It handles multi-language issues independent of the actors

    • It is self documenting, the LogMessage table explains exactly what the data you are storing should say.

    Some bad things about it.

    • You have to do some complicated processing to read the messages.

    • You can't just look at the DB and see what has happened.

    In my experience the good parts of this kind of a design outweigh the bad bits. What I have done to allow me to do a quick n dirty look at the log is make a view (which I don't use for the application code) that I can look at when I need to see what is going on via the back end.

    Let me know if you have questions.

    Update - Some example queries

    All of my examples are in sqlserver 2005+, let me know if there is a different version you want me to target.

    View the LogActor table (There are a number of ways to do this, the best depends on many things including data distribution, use cases, etc) Here are two:

    a)

    SELECT 
      LogId,
      COLLESCE(U.Name,Ga.Name,Go.Name) AS Name,
      Sequence
    FROM LogActor A
    LEFT JOIN User U ON A.LogActorID = U.[ID] AND LogActorType = "User"
    LEFT JOIN Game Ga ON A.LogActorID = Ga.[ID] AND LogActorType = "Game"
    LEFT JOIN Group Go ON A.LogActorID = Go.[ID] AND LogActorType = "Group"
    ORDER BY LogID, Sequence
    

    b)

    SELECT 
      LogId,
      U.Name AS Name,
      Sequence
    FROM LogActor A
    INNER JOIN User U ON A.LogActorID = U.[ID] AND LogActorType = "User"
    UNION ALL
    SELECT 
      LogId,
      Ga.Name AS Name,
      Sequence
    FROM LogActor A
    INNER JOIN Game Ga ON A.LogActorID = Ga.[ID] AND LogActorType = "Game"
    UNION ALL
    SELECT 
      LogId,
      Go.Name AS Name,
      Sequence
    FROM LogActor A
    INNER JOIN Group Go ON A.LogActorID = Go.[ID] AND LogActorType = "Group"
    ORDER BY LogID, Sequence
    

    In general I think a) is better than b) For example if you are missing an actor type a) will include it (with a null name). However b) is easier to maintain (because the UNION ALL statements make it more modular.) There are other ways to do this (eg CTE, views, etc). I'm inclined to doing it like b) and from what I've seen that seems to be at least standard practice if not best practice.

    So, the last 10 items in the log would looks something like this:

    SELECT 
      LogId,
      M.Message,
      COLLESCE(U.Name,Ga.Name,Go.Name) AS Name,
      Time,
      A.Sequence
    FROM Log
    LEFT JOIN LogActor A ON Log.LogID = A.LogID
    LEFT JOIN User U ON A.LogActorID = U.[ID] AND LogActorType = "User"
    LEFT JOIN Game Ga ON A.LogActorID = Ga.[ID] AND LogActorType = "Game"
    LEFT JOIN Group Go ON A.LogActorID = Go.[ID] AND LogActorType = "Group"
    LEFT JOIN LogMessage M ON Log.LogType = M.LogMessage
    WHERE LogID IN (SELECT Top 10 LogID FROM Log ORDER BY Date DESC)
    ORDER BY Date, LogID, A.Sequence
    

    NB - As you can see, it is easier to select all log items from a date than the last X, because we need a (probably very fast) sub-query for this.

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  • 2021-02-06 12:31
    1. Keep it simple and extendible
    2. Don't let translation overhead affect performance, translation only needs to be done for output purposes.

    Suggestion:

     LogId       DateTime   Action   Role  Entity
    
     e.g.
    
     30303     1/1/10    43        Sender   John
     30303     1/1/10    43        Receiver Sam
     30304     1/1/10    44        Game      game43
     30304     1/1/10    44        Player    Sue
     30304     1/1/10    44        Player    Mike
    

    (In the above table, "Message", ,"Sender", "John", "game43" etc. would not be text but would be foreign keys in either the action, role, or entity table. I've written the keys for "Action" but not for "Role" or "Entity" but they would be keys as well.

    Now, instead of text action, Role, Entity you might have keys in there, and store them in a separate table. This can be used for output, e.g.

     Action Table
    
     Id    ActionKey   Text      Language
     1     43          JoinGame  English
     2     43          Jeu       French
     3     44          Message   English
     ...
     ...
    
     Role Table
     Id   RoleKey  Text  Language
     1    1        Sender   English
     2    1        Sendeur  French        (I don't know french :)
     ....
    
     Entity Table
     EntityKey   Text
     1           Sam
     2           game43
     3           Sam
    

    Note that in the entity table, 2 or more entries might have the same text representation, as there could be more than 1 user named Sam. If you want to represent different, orthogonal information about each entity, then you can include the EntityKey in the correspondig table, e.g.

    Person Table
    Id    EntityKey   FirstName  LastName ....
    1      1          Sam         Johnson
    
    Game Instance Table
    Id    EntityKey   GameType  
    1     2           444
    
    Game Table
    Id   Name   MaxPlayers ...
    444  Quake    10
    

    Basically we are mapping a predicate (in the first-order predicate logic sense, a set of tuples) to binary relation form (by creating an artificial entity, the action key). Thus, the Entity table basically contains various columns/arguments of the relation, and so it can be practically anything which could be an argument of the relation. The advantage of this representation is it is infinitely extendible to new relations that you may wish to log without changing the schema. Everything in the ActionTable should be a key or foreign key, I just haven't put that in there because it may be harder to read.

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  • 2021-02-06 12:36

    Do you need this for logging/tracking purposes, or for display to users and admin? If your use for logging/tracking (i.e. computer readable), you should probably separate your logging into multiple tables like you specified.

    However, if you want this for your users or display on screen, why not just store it in basic html? This way you can easily display it on screen and view.

    For example, "User A (link to user), B (link to user) and C (link to user) played a game (link to game)" would be

    <a href="/users/showuser.php?id=2341">User A</a>
    , <a href="/users/showuser.php?id=311">User B</a>
    , and <a href="/users/showuser.php?id=89">User C</a>
    played a game of <a href="/games/gameoverview.php?id=3">Chess</a>.
    
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