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

분산 Mnesia 및 복제

데이터 복제와 클러스터 전반의 내결함성 저장소를 포함하도록 Mnesia를 분산 작업에 맞게 구성합니다.

분산 Mnesia 및 복제은(는) CoddyKit의 무료 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 강의입니다. 이것은 4개 중 3번째 강의입니다. 아래에서 전체 강의를 무료로 읽을 수 있으며, 내장 코드 에디터와 24/7 AI 튜터와 함께 브라우저에서 직접 실습할 수 있습니다. 이 강의는 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 학습 경로의 일부이며, 진행 상황이 웹과 CoddyKit 앱에 동기화됩니다. Erlang OTP: Distributed & Fault-Tolerant Systems Programming 강의에는 총 4개의 강의가 포함되어 있습니다.

이 강의의 일부는 아직 번역되지 않았으며 영어로 표시됩니다.

Intro to Distributed Mnesia

Welcome to the final lesson on Mnesia! So far, we've explored Mnesia's fundamentals and how to manage data with transactions. Now, let's unlock its true power: distributed operation.

Distributed Mnesia allows your database to span multiple Erlang nodes, offering incredible benefits for fault tolerance and scalability. Imagine your data staying available even if some servers go down!

Core Concept: Node List

For Mnesia to operate across multiple nodes, it needs to know which nodes are part of its cluster. This is managed through an explicit node list.

  • Each Mnesia instance on a node is aware of the other nodes.
  • It uses Erlang's built-in distribution mechanism to communicate.
  • Data can be replicated to or stored on specific nodes in this list.

Without this configuration, Mnesia would only run locally on a single node.

Initializing a Distributed Database

Setting up a distributed Mnesia cluster involves a few key steps:

  1. Start Erlang Nodes: Launch each Erlang VM with a unique name (e.g., erl -sname node1@host -setcookie mysecret).
  2. Connect Nodes: Ensure all nodes can communicate using net_adm:ping/1.
  3. Create Schema: Use mnesia:create_schema/1 on all participating nodes, passing a list of all node names.
  4. Start Mnesia: Call mnesia:start/0 on each node.

This establishes the foundation for your distributed database.

Code: Basic Mnesia Start

This example shows the basic steps to initialize and start Mnesia. In a real distributed setup, you'd run these on each connected node after creating the schema.

-module(mnesia_starter).
-export([start/0, stop/0, create_schema/0]).

% To run this in a shell:
% erl -sname mynode@localhost -setcookie mysecret
% c(mnesia_starter).
% mnesia_starter:create_schema().
% mnesia_starter:start().

create_schema() ->
    io:format("Creating Mnesia schema on ~p...\n", [node()]),
    % For a multi-node setup, list all node names here:
    % mnesia:create_schema(['node1@host', 'node2@host']).
    mnesia:create_schema([node()]).

start() ->
    io:format("Starting Mnesia on ~p...\n", [node()]),
    mnesia:start().

stop() ->
    io:format("Stopping Mnesia on ~p...\n", [node()]),
    mnesia:stop().

Creating Distributed Tables

Once your Mnesia cluster is set up, you define tables. The key difference for distributed tables is specifying the node_list when creating them.

  • The node_list attribute determines which nodes will store copies of the table.
  • You can specify different types of copies (disc_copies, ram_copies, disc_only_copies) for each node.
  • This allows fine-grained control over data placement and replication.

Mnesia ensures that the table schema is consistent across all nodes in the node_list.

Code: Distributed Table Definition

This example shows how to define a table, specifying that it should have disk copies on specific nodes. In a real scenario, 'node1@host' and 'node2@host' would be actual Erlang node names.

-module(distributed_table_def).
-export([create_user_table/0, start_mnesia/0, stop_mnesia/0]).

create_user_table() ->
    io:format("Attempting to create 'user_info' table...\n"),
    % In a distributed system, this list would contain
    % actual node names, e.g., ['node1@host', 'node2@host'].
    % For this runnable demo, we'll use the current node.
    NodeList = [node()], 

    mnesia:create_table(user_info, [
        {attributes, [id, name, email]},
        {disc_copies, NodeList} % Data stored on these nodes
    ]),
    io:format("Table 'user_info' created (or already exists) \n    with disc_copies on ~p.\n", [NodeList]).

start_mnesia() ->
    mnesia:start().

stop_mnesia() ->
    mnesia:stop().

% To run this:
% 1. Start Erlang shell: erl -sname mynode@localhost -setcookie mysecret
% 2. Compile: c(distributed_table_def).
% 3. Run: distributed_table_def:start_mnesia().
% 4. Run: distributed_table_def:create_user_table().

Replication Types: Disc vs. RAM

Mnesia offers different replication strategies for your table copies:

  • disc_copies: Data is stored on disk and loaded into RAM on startup. Provides persistence and fault tolerance.
  • ram_copies: Data is only stored in RAM. Fastest access but data is lost if the node crashes (unless replicated elsewhere).
  • disc_only_copies: Data is only stored on disk and not loaded into RAM. Slowest access, but uses minimal RAM.

Choosing the right type depends on your persistence, performance, and memory requirements.

Distributed Data Consistency

When you write data to a distributed Mnesia table, Mnesia ensures atomicity across all nodes involved in the transaction. This means:

  • A transaction either commits successfully on all relevant nodes, or it rolls back on all of them.
  • Mnesia handles the complexities of two-phase commit protocols behind the scenes.

This guarantees that your data remains consistent, even when spread across a cluster.

Managing Cluster Membership

Erlang's dynamic nature extends to Mnesia clusters. You can add or remove nodes from a running system without downtime.

  • Use mnesia:change_table_copy_type/3 or mnesia:add_table_copy/2 to add new copies of a table to a node.
  • Use mnesia:delete_table_copy/2 to remove a copy from a node.

These operations allow you to scale your Mnesia cluster horizontally or perform maintenance.

Fault Tolerance through Replication

This is where distributed Mnesia truly shines! By replicating data across multiple nodes, your system becomes highly fault-tolerant.

  • If a node with a disc_copies table fails, other nodes with copies can continue serving requests.
  • Mnesia automatically synchronizes data when a failed node recovers and rejoins the cluster.
  • You can design your system to withstand multiple node failures based on your replication strategy.

This 'always-on' capability is crucial for critical applications.

Check Your Understanding

Which Mnesia table copy type offers the fastest read/write access but loses data if the node crashes and no other copies exist?

Recap: Distributed Mnesia

Congratulations! You've now learned about configuring and managing distributed Mnesia.

  • We covered how to set up Mnesia across multiple Erlang nodes.
  • You saw how to define tables with node_list for distribution.
  • We explored different replication types: disc_copies, ram_copies, and disc_only_copies.
  • Finally, you understand how Mnesia ensures consistency and provides fault tolerance through replication.

Mnesia is a powerful tool for building robust, scalable, and fault-tolerant distributed applications in Erlang.

자주 묻는 질문

“분산 Mnesia 및 복제” 강의는 무료인가요?

네 — “분산 Mnesia 및 복제” 전체 내용을 이 웹사이트에서 무료로 읽을 수 있습니다. 인터랙티브하게 실습하려면(내장 코드 에디터와 24/7 AI 튜터), CoddyKit PRO로 업그레이드하면 Erlang OTP: Distributed & Fault-Tolerant Systems Programming 강의 전체를 잠금 해제할 수 있습니다. Erlang OTP: Distributed & Fault-Tolerant Systems Programming 강의에는 총 4개의 강의가 포함되어 있습니다.

“분산 Mnesia 및 복제”에서 뭘 배우나요?

데이터 복제와 클러스터 전반의 내결함성 저장소를 포함하도록 Mnesia를 분산 작업에 맞게 구성합니다. 브라우저에서 직접 실행하는 실습 코드로 Erlang OTP: Distributed & Fault-Tolerant Systems Programming을(를) 배우며, 24/7 AI 튜터가 강의를 진행하면서 질문에 답변해줍니다.

Erlang OTP: Distributed & Fault-Tolerant Systems Programming을(를) 시작하는 데 경험이 필요한가요?

사전 경험은 필요하지 않습니다. CoddyKit의 Erlang OTP: Distributed & Fault-Tolerant Systems Programming은(는) 초급자부터 고급 학습자까지를 위해 구성되어 있으므로, 여기서 시작하거나 처음부터 시작할 수 있으며 자신의 속도대로 진행할 수 있습니다. 이것은 4개 중 3번째 강의입니다.

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이 강의의 모든 강의

  1. Mnesia 기초 및 스키마
  2. 트랜잭션 및 데이터 조작
  3. 분산 Mnesia 및 복제
  4. Mnesia 인덱싱과 쿼리 최적화
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