PostgreSQL

資料庫

查詢和管理 SQL 資料庫 - Neotask 透過 Neotask 為您自動化 PostgreSQL。

執行 SQL 查詢和複雜聯接
建立表格、索引和檢視
監控查詢效能和鎖定

您可以做什麼

用純語言查詢資料

描述您需要的資料，Neotask 撰寫並執行針對 PostgreSQL 資料庫的 SQL 查詢。無論是簡單查找、多表關聯還是帶有窗口函數的彙總，您無需自己撰寫 SQL 即可取得結果。

分析查詢效能

貼上慢查詢或描述效能問題，請 Neotask 執行 EXPLAIN ANALYZE、解讀查詢計畫、識別瓶頸，並建議可以修復的特定索引或查詢重寫。

監控資料庫健康

要求健康檢查：當前連線數與連線限制、死元組數量多的資料表、長時間執行的交易和 autovacuum 狀態。Neotask 查詢 pg_stat_* 視圖並將數字轉譯為可操作的發現。

管理結構描述和物件

透過自然語言建立資料表、添加欄位、修改約束、建立索引和管理角色。Neotask 生成正確的 DDL 並在執行結構描述修改操作前確認。

疑難排解鎖定與阻塞

請 Neotask 識別阻塞查詢、顯示哪些會話正在等待鎖定，並安全地終止特定連線--在任何 pg_terminate_backend 呼叫前需要確認。

試試這樣問

"顯示過去 7 天按客戶國家分組的所有訂單"
"為什麼這個查詢很慢？"（貼上您的查詢）
"哪些資料表的死元組最多，需要 VACUUM？"
"在 users 資料表的 email 欄位上建立索引"
"哪些查詢目前執行超過 30 秒？"
"顯示所有具有超級使用者角色的使用者"
"此伺服器上每個資料庫的大小是多少？"
"在 sessions 資料表的 created_at 欄位上添加 NOT NULL 約束"

進階技巧

在對生產環境執行前始終請 Neotask 解釋其 SQL--確認關聯和 WHERE 子句符合您的意圖。
對探索性查詢使用 "唯讀" 框架："只顯示資料，不要更改任何東西"，這樣 Neotask 在探索請求時避免 DML。
對回傳時間不到 1 秒的查詢也請求 EXPLAIN ANALYZE--有時計畫看起來不錯但有估算錯誤會在規模上造成問題。
建立索引時，詢問部分索引或覆蓋索引是否比全表索引更適合您的存取模式。
結合 PostgreSQL 查詢與下游工具："查詢本週註冊的使用者並將他們添加到我們的 Mailchimp 受眾。"

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