0Pricing
PostgreSQL Performance & Query Optimization · レッスン

ロックとデッドロックを理解する

PostgreSQLにおけるさまざまなロックの種類と、デッドロックを特定・防止する方法を学びます。

「ロックとデッドロックを理解する」はCoddyKit上の無料PostgreSQL Performance & Query Optimizationレッスンです。 これはレッスン1/4です。 下記で完全なレッスンを無料で読むことができます。その後、ブラウザ内の組み込みコードエディタと24時間対応のAIチューターでハンズオン演習できます。 これはPostgreSQL Performance & Query Optimization学習パスの一部であり、ウェブとCoddyKitアプリ全体で進捗が同期されます。 PostgreSQL Performance & Query Optimizationコースには全4レッスンが含まれています。

このレッスンの一部はまだ翻訳されておらず、英語で表示されています。

Welcome to Concurrency

When many users or applications access a database at the same time, it's called concurrency. PostgreSQL, like other databases, needs to manage these concurrent operations carefully.

Without proper management, multiple operations could try to modify the same data simultaneously, leading to inconsistencies or errors. This is where locks come in!

What are Database Locks?

A database lock is a mechanism that controls access to data by multiple transactions. It ensures that data remains consistent and prevents conflicts.

  • Data Integrity: Guarantees that data is accurate and reliable.
  • Consistency: Ensures that transactions see a consistent view of the database.
  • Conflict Prevention: Stops different operations from corrupting data by trying to write to the same place at the same time.

PostgreSQL Lock Modes

PostgreSQL uses various lock modes to define the level of access transactions have to a particular resource. These modes determine compatibility: some allow shared access, while others are exclusive.

  • ACCESS SHARE: Acquired by simple SELECT statements. Allows other transactions to also acquire ACCESS SHARE, ROW SHARE, etc.
  • ROW EXCLUSIVE: Acquired by INSERT, UPDATE, DELETE. Allows concurrent reads but prevents other transactions from acquiring ROW EXCLUSIVE on the same row.
  • ACCESS EXCLUSIVE: The most restrictive lock. Acquired by DROP TABLE or TRUNCATE. Prevents all other access to the table.

Implicit Locks in Action

Most of the time, PostgreSQL automatically acquires the necessary locks for you. These are called implicit locks.

For example:

  • When you run a SELECT query, an ACCESS SHARE lock is acquired on the table.
  • When you run an UPDATE, INSERT, or DELETE query, a ROW EXCLUSIVE lock is acquired on the affected rows and a corresponding table-level lock.

This automatic locking ensures data consistency without you needing to explicitly manage it.

Explicit Table Locks

While implicit locks handle most cases, you can also acquire locks explicitly using the LOCK TABLE command. This is useful for specific scenarios where you need to control access more precisely.

You can specify the lock mode, like ACCESS EXCLUSIVE to block all other operations, or SHARE for concurrent index creation.

Demo: Locking a Table

Try running this example. It creates a simple table and then explicitly locks it in ACCESS EXCLUSIVE mode. While this lock is held (for the duration of the transaction), no other transaction can read or write to this table.

CREATE TABLE IF NOT EXISTS inventory (
    item_id SERIAL PRIMARY KEY,
    item_name VARCHAR(100),
    quantity INT
);
TRUNCATE TABLE inventory;
INSERT INTO inventory (item_name, quantity) VALUES ('Widget A', 50);

-- This command acquires an ACCESS EXCLUSIVE lock on the 'inventory' table.
-- In a real scenario, this would block other operations until committed.
LOCK TABLE inventory IN ACCESS EXCLUSIVE MODE;

SELECT 'Table locked successfully!' AS status;

-- The lock is released when this script finishes (transaction commits).

Explicit Row Locks: SELECT FOR UPDATE

For fine-grained control, you can lock specific rows using SELECT FOR UPDATE or SELECT FOR SHARE. This is crucial for preventing race conditions in application logic.

  • SELECT ... FOR UPDATE: Acquires a ROW EXCLUSIVE lock on selected rows. Other transactions can read but cannot update or lock these rows for update until your transaction commits.
  • SELECT ... FOR SHARE: Acquires a ROW SHARE lock. Other transactions can also acquire ROW SHARE locks, but not ROW EXCLUSIVE.

Spotting Active Locks with pg_locks

To see what locks are currently active in your database, you can query the pg_locks system view. This view provides detailed information about each lock.

Key columns to look for:

  • pid: The process ID holding or waiting for the lock.
  • locktype: Type of resource being locked (e.g., relation, transactionid).
  • mode: The lock mode (e.g., ACCESS SHARE, ROW EXCLUSIVE).
  • granted: t if the lock is held, f if waiting.

You can query it like this:

SELECT * FROM pg_locks WHERE NOT granted;

Understanding Deadlocks

A deadlock occurs when two or more transactions are waiting for each other to release a resource, resulting in a standstill. Neither transaction can proceed.

PostgreSQL automatically detects deadlocks and aborts one of the transactions (the 'deadlock victim') to allow the other to complete. This usually results in an error message for the aborted transaction.

A Classic Deadlock Scenario

Imagine two transactions, T1 and T2, trying to update two rows, Row A and Row B:

  • T1: Locks Row A, then tries to lock Row B.
  • T2: Locks Row B, then tries to lock Row A.

At this point, T1 holds A and waits for B, while T2 holds B and waits for A. Neither can progress. PostgreSQL detects this cycle and terminates one transaction.

Lock Mode Check

Which lock mode is typically acquired by a simple SELECT statement?

Recap: Locks & Deadlocks

We've covered the essentials of database locks and deadlocks in PostgreSQL. Locks ensure data consistency and integrity in concurrent environments, operating through various lock modes.

Remember:

  • PostgreSQL uses implicit and explicit locks.
  • pg_locks helps monitor active locks.
  • Deadlocks occur when transactions wait for each other, and PostgreSQL detects and resolves them by aborting one transaction.

Understanding these concepts is key to building robust and performant applications!

よくある質問

「ロックとデッドロックを理解する」レッスンは無料ですか？

はい。「ロックとデッドロックを理解する」の完全なテキストはこのウェブで無料で読めます。インタラクティブに演習し（組み込みコードエディタと24時間対応のAIチューター）、PostgreSQL Performance & Query Optimizationコースの残りをアンロックするには、CoddyKit PROにアップグレードしてください。 PostgreSQL Performance & Query Optimizationコースには全4レッスンが含まれています。

「ロックとデッドロックを理解する」で何を学びますか？

PostgreSQLにおけるさまざまなロックの種類と、デッドロックを特定・防止する方法を学びます。 ブラウザで直接実行するハンズオンコードでPostgreSQL Performance & Query Optimizationを演習し、24時間対応のAIチューターがレッスンを進める中での質問に答えます。

PostgreSQL Performance & Query Optimizationを始めるのに経験は必要ですか？

事前経験は必要ありません。CoddyKitのPostgreSQL Performance & Query Optimizationは初級者から上級者向けに構成されているため、ここから始めるか最初から始めて、自分のペースで進むことができます。 これはレッスン1/4です。

「ロックとデッドロックを理解する」レッスンにはどのくらい時間がかかりますか？

ほとんどのCoddyKitレッスンは約5～10分かかります。各レッスンはコンパクトでインタラクティブなので、着実に進歩し、ウェブとアプリ全体で正確に前回の場所から再開できます。

このPostgreSQL Performance & Query Optimizationレッスンでコードを書いて実行できますか？

はい。すべてのPostgreSQL Performance & Query Optimizationレッスンに組み込みコードエディタが含まれているため、ブラウザでリアルコードを書いて実行し、即座のAIフィードバックを取得できます。ローカル設定は不要です。

このコースのすべてのレッスン

  1. ロックとデッドロックを理解する
  2. ロック競合の特定と解消
  3. 行レベルロック戦略
  4. アプリケーション連携のためのアドバイザリロック
← PostgreSQL Performance & Query Optimizationに戻る