事务与数据操作
在 Mnesia 表上执行原子事务，确保分布式节点之间的数据一致性。
事务与数据操作 是 CoddyKit 上的免费 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课时。 这是第 2 节课，共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课程共包含 4 节课。
本课时的部分内容尚未翻译，以英文显示。
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/1to group Mnesia operations. - We covered
mnesia:write/1for adding/updating,mnesia:read/1for fetching, andmnesia:delete/1for removing records. - We briefly touched upon
mnesia:sync_transaction/1for strong distributed consistency.
Next, we'll dive into configuring Mnesia for distributed operation, including data replication and fault-tolerant storage across a cluster.
常见问题解答
「事务与数据操作」课时是免费的吗？
是的 — 「事务与数据操作」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课程的其余内容，请升级到 CoddyKit PRO。 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课程共包含 4 节课。
「事务与数据操作」这节课中我会学到什么？
在 Mnesia 表上执行原子事务，确保分布式节点之间的数据一致性。 你通过在浏览器中直接运行的动手代码来练习 Erlang OTP: Distributed & Fault-Tolerant Systems Programming，全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 需要有经验吗？
无需任何先前经验。CoddyKit 上的 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课程适合初学者到高级学习者，你可以从这里开始或从头开始，按照自己的节奏学习。 这是第 2 节课，共 4 节。
「事务与数据操作」课时需要多长时间？
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。
我能在这节 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课中编写并运行代码吗？
能。每节 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 课都包含内置代码编辑器，你可以在浏览器中直接编写并运行真实代码，并获得即时 AI 反馈 — 无需本地设置。