쉐도잉 연습: PostgreSQL Architecture Explained: Deep Dive for Beginners - YouTube로 영어 말하기 배우기

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Let's explore the architecture of PostgreSQL.
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Let's explore the architecture of PostgreSQL.
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In this case study, we will delve into its internal structure and key features,
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offering you a comprehensive understanding of this powerful database management system.
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PostgreSQL is an open-source relational database management system,
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known for its reliability and robustness.
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Core features include being an open-source relational database,
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its asset compliance and strong support for transactions,
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advanced SQL support, and extensible architecture that allows users to add custom functions and data types and multi-version concurrency control,
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which ensures that readers do not block writers and vice versa.
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As a result, PostgreSQL is an enterprise-grade database system with a robust architecture designed for high performance and reliability.
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The PostgreSQL architecture consists of several key components that work together to provide database services.
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The main components include the Postmaster process, which handles client connections.
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Back-end processes, which execute queries and manage transactions.
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Shared memory, which is used for caching and communication between processes.
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The storage engine which manages the physical storage of data and write-ahead log,
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or WAL, which ensures data durability.
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PostgreSQL uses a multi-process architecture,
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with one process per connection and shared memory for communication.
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The Postmaster process is the main process that manages the PostgreSQL server.
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Its key responsibilities include server startup and initialization.
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It handles client connection by listening for incoming requests and authenticating clients.
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It spawns back-end processes to handle individual client connections.
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It also manages system recovery in case of a crash and allocates shared memory for inter-process communication.
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When the server starts up,
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the Postmaster initializes shared memory,
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starts background processes, and listens for connections.
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When a client connects, the listen function accepts the connection,
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then the server forks a new back-end process to handle the connection.
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Back-end processes handle client requests in PostgreSQL.
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Different process types include query processing,
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which involves parsing, planning, and executing SQL queries.
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Transaction management, which ensures atomicity,
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consistency, isolation and durability, or ACID properties of transactions Buffer management,
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which manages the shared buffer pool in memory Lock management,
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which handles concurrency control and prevents data corruption And memory context handling,
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which allocates and deallocates memory for queries The process lifecycle involves a connection request,
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followed by forking a new backend process.
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Then authentication occurs, followed by query execution and finally, the connection is closed.
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Shared memory is a critical component of PostgreSQL architecture,
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enabling efficient communication and data sharing between processes.
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Key components include the shared buffer pool,
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which caches frequently accessed data pages.
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WAL buffers, which store write-ahead log records before they are written to disk.
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Lock Tables, which manage locks for concurrency control.
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Process Information, which contains information about running processes,
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and the Statistics Collector, which gathers statistics about database activity.
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The memory layout includes shared buffers,
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with a default size of 128 megabytes.
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WAL buffers with a default size of 16 megabytes.
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Lock space in process array and space for statistics and maintenance.
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The storage engine manages how data is stored on disk in PostgreSQL.
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Storage components include heap files, which store table data.
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Index files such as btree and hash indexes,
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which provide fast access to data.
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The Oversized Attribute Storage Technique or TOAST,
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used for storing large objects.
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Free Space Map, which tracks available space in data files.
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And the Visibility Map, which tracks which pages contain tuples visible to all transactions.
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The heap file structure consists of 8 kilobyte pages by default.
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Each page contains a header,
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item pointers, and tuple data with multi-version concurrency control versioning.
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Right-ahead logging, or WAL, is a crucial feature of PostgreSQL that ensures data durability and reliability.
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WAL features include crash recovery,
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which allows the database to recover to a consistent state after a crash.
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Point-in-time recovery, which allows you to restore the database to a specific point in time.
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Streaming replication, which enables replicating data to other servers in real time.
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Asset compliance, which ensures the reliability of database transactions and durability guarantee,
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which ensures that committed transactions are permanently stored.
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In a transaction flow, you begin by modifying the data and logging changes to WAL.
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On commit, you synchronize WAL to disk and return success success.
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For recovery, you read the WAL and replay the changes.
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Multi-version concurrency control or MVCC is a key feature of PostgreSQL
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that allows multiple transactions to occur concurrently without interfering with each other.
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MVCC benefits include that readers do not block writers and writers do not block readers.
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It provides snapshot isolation.
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No read locks are needed, resulting in high concurrency.
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Isolation levels include read committed,
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which is the default, repeatable read and serializable.
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In summary, POSCA SQL's architecture strengths include multi-process stability,
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MVCC concurrency, WAL durability, and an extensible design.
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Performance features include shared memory efficiency,
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advanced indexing, query optimization, and parallel processing.
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As a result, PostgreSQL's robust architecture delivers enterprise-grade reliability with modern performance capabilities.

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