Erlang OTP: Distributed & Fault-Tolerant Systems Programming · Aula

Transações e manipulação de dados

Execute transações atômicas em tabelas Mnesia, garantindo a consistência dos dados entre nós distribuídos.

Aula 2 de 410 etapas

Transações e manipulação de dados é uma aula grátis de Erlang OTP: Distributed & Fault-Tolerant Systems Programming no CoddyKit. Esta é a aula 2 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de Erlang OTP: Distributed & Fault-Tolerant Systems Programming, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de Erlang OTP: Distributed & Fault-Tolerant Systems Programming inclui 4 aulas no total.

Partes desta aula ainda não foram traduzidas e aparecem em inglês.

Why Mnesia Needs Transactions

Imagine managing important data like bank transfers. You wouldn't want money to leave one account without arriving in another, right?

This "all or nothing" principle is crucial for data consistency, and it's where transactions come in. Mnesia uses transactions to group multiple database operations into a single, atomic unit.

An atomic transaction either fully completes all its operations, or if any part fails, all changes are rolled back. This ensures your data remains consistent and reliable.

The Core: `mnesia:transaction`

In Mnesia, you perform transactional operations using the mnesia:transaction/1 function. It takes an anonymous function (a fun) as its argument.

All Mnesia read and write operations that need to be atomic must be placed inside this fun. If the fun executes successfully, the changes are committed. If an error occurs or mnesia:abort/1 is called, all changes are rolled back.

Let's see its basic structure:

-module(example_transaction).
-export([main/0]).

main() ->
    mnesia:start(),
    {atomic, _Result} = mnesia:transaction(fun() ->
        % Mnesia operations go here
        io:format("Inside the transaction!~n"),
        ok
    end),
    io:format("Transaction completed.~n"),
    mnesia:stop().

Preparing Data for Transactions

Before we can manipulate data, we need a Mnesia table. Let's define a simple person record and create a table for it. This setup will be used in our transaction examples.

Remember, mnesia:create_table/2 is usually called once when your application starts up for the first time.

-module(mnesia_table_setup).
-export([main/0]).
-record(person, {id, name, age}).

main() ->
    % Ensure Mnesia is started on this node
    mnesia:create_schema([node()]),
    mnesia:start(),
    % Create table if it doesn't exist
    case mnesia:create_table(person, [{attributes, record_info(fields, person)}]) of
        {atomic, ok} -> io:format("Table 'person' created successfully.~n");
        {aborted, {already_exists, person}} -> io:format("Table 'person' already exists.~n");
        Error -> io:format("Error creating table: ~p~n", [Error])
    end,
    mnesia:stop().

Adding & Updating Records

Inside a transaction, you use mnesia:write/1 to store or update records. If a record with the same primary key (the first field in our person record, id) already exists, it will be updated. Otherwise, a new record is inserted.

Let's add a new person to our table. Remember to start Mnesia first!

-module(write_example).
-export([main/0]).
-record(person, {id, name, age}).

main() ->
    % Ensure Mnesia is started and table exists (simplified setup)
    mnesia:create_schema([node()]),
    mnesia:start(),
    mnesia:create_table(person, [{attributes, record_info(fields, person)}]),
    mnesia:wait_for_tables([person], 5000),

    % Write a new person record
    Person1 = #person{id = 1, name = "Alice", age = 30},
    {atomic, ok} = mnesia:transaction(fun() ->
        mnesia:write(Person1)
    end),
    io:format("Wrote: ~p~n", [Person1]),

    mnesia:stop().

Fetching Records Transactionally

To retrieve data inside a transaction, use mnesia:read/1. It takes a record or a record key (like {person, 1}) and returns a list of matching records. If no record is found, it returns [] (an empty list).

Let's read the person we just added. We'll combine writing and reading in a single transaction for a fuller example.

-module(read_example).
-export([main/0]).
-record(person, {id, name, age}).

main() ->
    mnesia:create_schema([node()]),
    mnesia:start(),
    mnesia:create_table(person, [{attributes, record_info(fields, person)}]),
    mnesia:wait_for_tables([person], 5000),

    Person1 = #person{id = 1, name = "Alice", age = 30},
    Person2 = #person{id = 2, name = "Bob", age = 25},

    {atomic, Result} = mnesia:transaction(fun() ->
        % Write two records
        mnesia:write(Person1),
        mnesia:write(Person2),
        % Read one of them
        mnesia:read({person, 1})
    end),
    io:format("Transaction result (read data): ~p~n", [Result]),

    mnesia:stop().

Modifying Data with Transactions

mnesia:write/1 handles both inserting new records and updating existing ones. To remove a record entirely, you use mnesia:delete/1, providing the full record or just its key.

Let's update Alice's age and then delete Bob from our Mnesia table, all within a single, consistent transaction.

-module(update_delete_example).
-export([main/0]).
-record(person, {id, name, age}).

main() ->
    mnesia:create_schema([node()]),
    mnesia:start(),
    mnesia:create_table(person, [{attributes, record_info(fields, person)}]),
    mnesia:wait_for_tables([person], 5000),

    % Ensure initial data for update/delete
    mnesia:transaction(fun() ->
        mnesia:write(#person{id = 1, name = "Alice", age = 30}),
        mnesia:write(#person{id = 2, name = "Bob", age = 25})
    end),

    io:format("--- Before transaction ---~n"),
    io:format("Alice: ~p~n", [mnesia:dirty_read({person, 1})]),
    io:format("Bob: ~p~n", [mnesia:dirty_read({person, 2})]),

    {atomic, _} = mnesia:transaction(fun() ->
        % Update Alice's age
        UpdatedAlice = #person{id = 1, name = "Alice", age = 31},
        mnesia:write(UpdatedAlice),
        % Delete Bob
        mnesia:delete({person, 2})
    end),

    io:format("--- After transaction ---~n"),
    io:format("Alice: ~p~n", [mnesia:dirty_read({person, 1})]),
    io:format("Bob: ~p~n", [mnesia:dirty_read({person, 2})]), % Should be []

    mnesia:stop().

Transaction Rollbacks in Action

The power of transactions lies in their atomicity. If any operation within the fun fails or you explicitly call mnesia:abort/1, Mnesia will roll back all changes made during that transaction.

This means your database state will revert to how it was before the transaction started, preventing partial updates and maintaining consistency.

-module(rollback_example).
-export([main/0]).
-record(person, {id, name, age}).

main() ->
    mnesia:create_schema([node()]),
    mnesia:start(),
    mnesia:create_table(person, [{attributes, record_info(fields, person)}]),
    mnesia:wait_for_tables([person], 5000),

    % Ensure Alice exists initially
    mnesia:transaction(fun() ->
        mnesia:write(#person{id = 1, name = "Alice", age = 30})
    end),
    io:format("Initial Alice: ~p~n", [mnesia:dirty_read({person, 1})]),

    % Attempt a transaction that will abort
    Result = mnesia:transaction(fun() ->
        mnesia:write(#person{id = 1, name = "Alice", age = 35}), % Update
        mnesia:write(#person{id = 3, name = "Charlie", age = 22}), % New record
        mnesia:abort("Something went wrong!") % Abort the transaction
    end),
    io:format("Transaction result: ~p~n", [Result]),

    io:format("Alice after aborted transaction: ~p~n", [mnesia:dirty_read({person, 1})]),
    io:format("Charlie after aborted transaction: ~p~n", [mnesia:dirty_read({person, 3})]),

    mnesia:stop().

`mnesia:sync_transaction/1` for Global Commit

While mnesia:transaction/1 ensures local atomicity, its return doesn't guarantee the transaction has committed on all Mnesia replicas in a distributed setup. For that, you use mnesia:sync_transaction/1.

mnesia:sync_transaction/1 blocks the caller until the transaction has been successfully committed on all nodes where the affected tables are resident. This is crucial for strong consistency guarantees in distributed systems.

Use it when you absolutely need to know that data is consistent across your entire cluster before proceeding.

-module(sync_transaction_example).
-export([main/0]).
-record(item, {id, name}).

main() ->
    % This example assumes a distributed Mnesia setup.
    % For a single node, it behaves like mnesia:transaction/1.
    mnesia:create_schema([node()]),
    mnesia:start(),
    mnesia:create_table(item, [{attributes, record_info(fields, item)}]),
    mnesia:wait_for_tables([item], 5000),

    Item = #item{id = 101, name = "Widget A"},

    io:format("Attempting sync_transaction...~n"),
    {atomic, ok} = mnesia:sync_transaction(fun() ->
        mnesia:write(Item)
    end),
    io:format("Item written and committed across all replicas: ~p~n", [Item]),

    mnesia:stop().

Transaction Knowledge Check

You've learned about Mnesia transactions and how to manipulate data atomically. Let's test your understanding!

Transactions: Your Data's Safety Net

In this lesson, you mastered Mnesia transactions, a cornerstone for building robust and reliable applications.

  • We learned that transactions provide atomicity, ensuring "all or nothing" data operations.
  • You practiced using mnesia:transaction/1 to group Mnesia operations.
  • We covered mnesia:write/1 for adding/updating, mnesia:read/1 for fetching, and mnesia:delete/1 for removing records.
  • We briefly touched upon mnesia:sync_transaction/1 for strong distributed consistency.

Next, we'll dive into configuring Mnesia for distributed operation, including data replication and fault-tolerant storage across a cluster.

Grátis para começar

Aprenda Erlang com um tutor de IA — grátis

Escreva e execute código real no seu navegador, obtenha ajuda instantânea de um tutor de IA 24/7 e continue de onde parou na web ou no app.

Cursos
12
Aulas
48

Perguntas Frequentes

A aula “Transações e manipulação de dados” é grátis?

Sim — o texto completo de “Transações e manipulação de dados” é grátis para ler aqui na web. Para praticá-la interativamente (um editor de código integrado e um tutor de IA 24/7) e desbloquear o restante do curso de Erlang OTP: Distributed & Fault-Tolerant Systems Programming, atualize para CoddyKit PRO. O curso de Erlang OTP: Distributed & Fault-Tolerant Systems Programming inclui 4 aulas no total.

O que vou aprender em “Transações e manipulação de dados”?

Execute transações atômicas em tabelas Mnesia, garantindo a consistência dos dados entre nós distribuídos. Você pratica Erlang OTP: Distributed & Fault-Tolerant Systems Programming com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.

Preciso ter experiência prévia para começar Erlang OTP: Distributed & Fault-Tolerant Systems Programming?

Nenhuma experiência prévia é necessária. Erlang OTP: Distributed & Fault-Tolerant Systems Programming no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 2 de 4.

Quanto tempo leva a aula “Transações e manipulação de dados”?

A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.

Posso escrever e executar código nesta aula de Erlang OTP: Distributed & Fault-Tolerant Systems Programming?

Sim. Cada aula de Erlang OTP: Distributed & Fault-Tolerant Systems Programming inclui um editor de código integrado, então você escreve e executa código real direto no navegador e recebe feedback de IA instantaneamente — nenhuma configuração local necessária.

Todas as aulas deste curso

  1. Fundamentos e esquema do Mnesia
  2. Transações e manipulação de dados
  3. Mnesia distribuído e replicação
  4. Indexação do Mnesia e Otimização de Consultas
← Voltar para Erlang OTP: Distributed & Fault-Tolerant Systems Programming