這是歷史版本頁面 — 看 PostgreSQL (64-bit) 最新版本

PostgreSQL 是什麼,跟 MySQL 有什麼差別

PostgreSQL (64-bit) 軟體圖示 PostgreSQL (64-bit) 11.4 (64-bit) 資料更新 2019-06-21 閱讀約 7 分鐘

你正在開發一個新專案,資料量才幾萬筆,但查詢速度已經開始變慢;或者你想把分散在 Excel 和 CSV 裡的資料整理成能多人同時讀寫的格式。你打開搜尋引擎,看到一堆資料庫軟體的名字,卻不確定哪一個才適合自己——你需要的是一個能長期存放資料、支援複雜查詢、而且不會因為流量變大就垮掉的方案。

很多人第一個想到的是把資料繼續放在 Excel 或輕量型資料庫裡,但當資料量成長、需要多人同時寫入、或要做跨表格關聯查詢時,這些方案會開始卡住。這類工具的切入點是:用結構化的表格儲存資料,透過標準的 SQL 語法來查詢與管理,並提供交易保護機制,確保資料在寫入過程中不會因為意外中斷而損壞。PostgreSQL 就是這個領域裡歷史悠久、且持續在更新的開源選擇之一。

01PostgreSQL 跟 MySQL 差在哪裡?

兩者都是開源的關聯式資料庫,但 PostgreSQL 在功能上支援更多進階特性,例如自訂資料型別、部分索引、JSON/JSONB 文件儲存,以及更完整的交易隔離層級。MySQL 則以簡單易用和廣泛部署聞名。如果你的專案需要複雜查詢、地理空間資料或嚴格的資料完整性,PostgreSQL 的內建功能會更直接;若只是簡單的讀寫且團隊已熟悉 MySQL,沿用 MySQL 也能勝任。

02這套軟體能處理多大的資料量?

官方文件指出單一資料表可達 32 TB,並支援表格分割(partitioning)來分散大型資料集的儲存與查詢負擔。實際能跑多順,取決於硬體記憶體、磁碟型態和查詢語法的撰寫方式。建議先以你的真實資料量做壓力測試,確認索引和查詢計畫的執行效率,再決定是否要導入。

03它支援哪些資料型別?

涵蓋常見的整數、數值、字串、布林值、日期時間,也包含陣列、範圍、UUID、JSON/JSONB、XML、key-value(Hstore)以及幾何資料型別如點、線、圓、多邊形。此外可以自訂複合型別。這代表你不需要為了存 JSON 或座標資料另外找工具,同一套資料庫就能處理。

04要怎麼保證資料不會因為突然斷電或當機而損壞?

它實作 Write-ahead Logging(WAL),在資料真正寫入資料表前,會先把變更記錄到日誌中。若系統崩潰,重啟時會依據 WAL 進行復原,確保交易要嘛完整執行、要嘛完全沒發生。也支援同步與非同步複製,可以建立備援節點,並提供 point-in-time-recovery(PITR)把資料回復到過去某個時間點。

05多人同時讀寫同一筆資料會不會鎖住整張表?

它採用 Multi-Version Concurrency Control(MVCC),讓讀取和寫入不會互相阻擋。每個交易看到的是自己開始時的資料快照,寫入時只鎖定必要的列,而不是整張表。因此同時間大量使用者查詢、偶爾有更新時,系統仍能維持順暢。若需要更嚴格的控管,也提供明確鎖定(explicit locks)與建議鎖定(advisory locks)。

06這套軟體適合什麼樣的人用?

適合需要處理結構化資料、且查詢邏輯較複雜的開發者或資料分析師。例如要做多表關聯、子查詢、視窗函數,或需要存放 JSON 文件與地理資訊的應用。它也適合重視資料完整性與交易安全性的場景,像是金流紀錄、訂單系統。若你只是要存簡單的鍵值對,用 SQLite 或 key-value store 會更輕量。

07我完全不會寫 SQL,能用這套軟體嗎?

可以,但門檻較高。它內建的 pgAdmin 提供圖形介面,能建立資料庫、執行查詢、備份還原,不過日常操作仍需要理解基本的 SQL 語法,例如 SELECT、INSERT、UPDATE、DELETE。官方文件完整,但介面是英文。若完全不想碰 SQL,可以考慮用現成的資料庫管理工具(如 DBeaver)搭配視覺化查詢功能,但底層邏輯還是繞不開 SQL。

08什麼情況不該選 PostgreSQL?

如果你的需求只是單機應用程式暫存資料、且不想管理伺服器,SQLite 會更簡單——它不需要安裝、設定或維護,直接以檔案形式運作。若你只需要一個快速的全文字搜尋引擎,Everything Search Engine 那類工具更合適。另外,若團隊完全沒有資料庫管理經驗,且預算無法負擔專人維護,PostgreSQL 的效能調校和升級都需要手動處理,可能超出你的負荷。

09它需要多少硬體資源?

官方建議最低 2GB RAM、4GB 以上較佳,安裝本身需 100MB 以上空間,實際資料量另計。處理器需為 Intel 或 AMD 64 位元。記憶體越大,快取和排序效能越好;若同時連線數高,CPU 和記憶體需求會明顯上升。它沒有內建圖形管理介面,需額外安裝 pgAdmin 或使用命令列工具,這點在評估資源時也要算進去。

10它的授權方式會不會有商業使用的限制?

它是 Open Source 授權,可以免費使用、修改和散布,包含商業用途。沒有授權費或使用者數限制。不過要注意,它採用 PostgreSQL License,這是一種寬鬆的開源授權,允許你將它整合進商業產品中,但若你修改了原始碼並散布,需保留版權聲明。詳細條款建議閱讀官方授權文件確認。

11這套軟體多久更新一次?

根據收錄紀錄,近 12 個月更新 10 次,近 24 個月 20 次,屬於持續活躍開發的專案。官方會定期釋出主要版本和安全性修補,但升級主要版本時可能需要手動調整設定或檢查相容性。建議追蹤官方發布公告,並在測試環境先驗證再升級正式環境。

12它跟 MySQL Workbench 有什麼不同?

MySQL Workbench 是 MySQL 的圖形化管理工具,本身不是資料庫伺服器。PostgreSQL 是資料庫伺服器,官方提供的 pgAdmin 才是它的管理介面。若你習慣用 MySQL Workbench 的視覺化設計和備份功能,PostgreSQL 的 pgAdmin 也有類似功能,但介面和操作邏輯不同。兩者無法直接互換,需重新熟悉工具。

下載與官方連結

前往官方網站 下載 PostgreSQL (64-bit)

postgresql-11.4-1-windows-x64.exe · 173 MB · 連結指向軟體原廠

版本紀錄

再看 5 筆

看完整版本清單

這一版改了什麼

What's new in this version:

- Fix buffer-overflow hazards in SCRAM verifier parsing.
- Any authenticated user could cause a stack-based buffer overflow by changing their own password to a purpose-crafted value. In addition to the ability to crash the PostgreSQL server, this could suffice for executing arbitrary code as the PostgreSQL operating system account.
- A similar overflow hazard existed in libpq, which could allow a rogue server to crash a client or perhaps execute arbitrary code as the client's operating system account.
- The PostgreSQL Project thanks Alexander Lakhin for reporting this problem.
- Fix assorted errors in run-time partition pruning logic.
- These mistakes could lead to wrong answers in queries on partitioned tables, if the comparison value used for pruning is dynamically determined, or if multiple range-partitioned columns are involved in pruning decisions, or if stable (not immutable) comparison operators are involved.
- Fix possible crash while trying to copy trigger definitions to a new partition.
- Fix failure of ALTER TABLE ... ALTER COLUMN TYPE when the table has a partial exclusion constraint.
- Fix failure of COMMENT command for comments on domain constraints
- Prevent possible memory clobber when there are duplicate columns in a hash aggregate's hash key list.
- Fix incorrect argument null-ness checking during partial aggregation of aggregates with zero or multiple arguments.
- Fix faulty generation of merge-append plans.
- This mistake could lead to “could not find pathkey item to sort” errors.
- Fix incorrect printing of queries with duplicate join names.
- This oversight caused a dump/restore failure for views containing such queries.
- Fix conversion of JSON string literals to JSON-type output columns in json_to_record() and json_populate_record().
- Such cases should produce the literal as a standalone JSON value, but the code misbehaved if the literal contained any characters requiring escaping.
- Fix misoptimization of {1,1} quantifiers in regular expressions.
- Such quantifiers were treated as no-ops and optimized away; but the documentation specifies that they impose greediness, or non-greediness in the case of the non-greedy variant {1,1}?, on the subexpression they're attached to, and this did not happen. The misbehavior occurred only if the subexpression contained capturing parentheses or a back-reference.
- Avoid writing an invalid empty btree index page in the unlikely case that a failure occurs while processing INCLUDEd columns during a page split.
- The invalid page would not affect normal index operations, but it might cause failures in subsequent VACUUMs. If that has happened to one of your indexes, recover by reindexing the index.
- Avoid possible failures while initializing a new process's pg_stat_activity data.
- Certain operations that could fail, such as converting strings extracted from an SSL certificate into the database encoding, were being performed inside a critical section. Failure there would result in database-wide lockup due to violating the access protocol for shared pg_stat_activity data.
- Fix race condition in check to see whether a pre-existing shared memory segment is still in use by a conflicting postmaster.
- Fix unsafe coding in walreceiver's signal handler.
- This avoids rare problems in which the walreceiver process would crash or deadlock when commanded to shut down.
- Avoid attempting to do database accesses for parameter checking in processes that are not connected to a specific database.
- This error could result in failures like “cannot read pg_class without having selected a database”.
- Avoid possible hang in libpq if using SSL and OpenSSL's pending-data buffer contains an exact multiple of 256 bytes.
- Improve initdb's handling of multiple equivalent names for the system time zone.
- Make initdb examine the /etc/localtime symbolic link, if that exists, to break ties between equivalent names for the system time zone. This makes initdb more likely to select the time zone name that the user would expect when multiple identical time zones exist. It will not change the behavior if /etc/localtime is not a symlink to a zone data file, nor if the time zone is determined from the TZ environment variable.
- Separately, prefer UTC over other spellings of that time zone, when neither TZ nor /etc/localtime provide a hint. This fixes an annoyance introduced by tzdata 2019a's change to make the UCT and UTC zone names equivalent: initdb was then preferring UCT, which almost nobody wants.
- Fix ordering of GRANT commands emitted by pg_dump and pg_dumpall for databases and tablespaces.
- If cascading grants had been issued, restore might fail due to the GRANT commands being given in an order that didn't respect their interdependencies.
- Make pg_dump recreate table partitions using CREATE TABLE then ATTACH PARTITION, rather than including PARTITION OF in the creation command.
- This avoids problems with the partition's column order possibly being changed to match the parent's. Also, a partition is now restorable from the dump (as a standalone table) even if its parent table isn't restored; the ATTACH will fail, but that can just be ignored.
- Fix misleading error reports from reindexdb.
- Ensure that vacuumdb returns correct status if an error occurs while using parallel jobs.
- Fix contrib/auto_explain to not cause problems in parallel queries.
- Previously, a parallel worker might try to log its query even if the parent query were not being logged by auto_explain. This would work sometimes, but it's confusing, and in some cases it resulted in failures like “could not find key N in shm TOC”.
- Also, fix an off-by-one error that resulted in not necessarily logging every query even when the sampling rate is set to 1.0.
- In contrib/postgres_fdw, account for possible data modifications by local BEFORE ROW UPDATE triggers.
- If a trigger modified a column that was otherwise not changed by the UPDATE, the new value was not transmitted to the remote server.
- On Windows, avoid failure when the database encoding is set to SQL_ASCII and we attempt to log a non-ASCII string.
- The code had been assuming that such strings must be in UTF-8, and would throw an error if they didn't appear to be validly encoded. Now, just transmit the untranslated bytes to the log.
- Make PL/pgSQL's header files C++-safe.