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目錄
Using MySQL Command Line
Using PostgreSQL with COPY
Using SQLite
Using Python (Universal Method)
首頁(yè) 資料庫(kù) SQL 如何將 SQL 查詢結(jié)果導(dǎo)出到 CSV 文件

如何將 SQL 查詢結(jié)果導(dǎo)出到 CSV 文件

Oct 13, 2025 am 04:47 AM

答案:導(dǎo)出SQL查詢結(jié)果為CSV文件的方法因數(shù)據(jù)庫(kù)系統(tǒng)而異。 MySQL使用SELECT...INTO OUTFILE,PostgreSQL用COPY或\copy命令,SQLite通過CLI的.mode和.output設(shè)置,Python則利用sqlite3、csv等模塊實(shí)現(xiàn)跨數(shù)據(jù)庫(kù)自動(dòng)化導(dǎo)出,適合複雜場(chǎng)景。

How to export SQL query results to a CSV file

Exporting SQL query results to a CSV file is a common task for data analysis, reporting, or sharing data. The method you use depends on your database system and tools available. Below are practical approaches for popular databases.

Using MySQL Command Line

If you're working with MySQL, you can directly export query results using the SELECT ... INTO OUTFILE statement.

Example:

SELECT * FROM employees WHERE department = 'Sales'
INTO OUTFILE '/tmp/sales_employees.csv'
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n';

Make sure the MySQL user has write permissions to the target directory. The file will be saved on the server.

Using PostgreSQL with COPY

PostgreSQL provides the COPY command to export query results to a CSV file.

Example:

COPY (SELECT * FROM employees WHERE department = 'Sales')
TO '/tmp/sales_employees.csv'
WITH CSV HEADER;

This saves the output on the database server. For exporting to a local machine, use \copy in psql :

\copy (SELECT * FROM employees WHERE department = 'Sales') TO 'sales_employees.csv' WITH CSV HEADER

Using SQLite

In SQLite, use the .mode csv and .output commands in the CLI.

Steps:
  • .mode csv
  • .output sales_employees.csv
  • SELECT * FROM employees WHERE department = 'Sales';
  • .output stdout (to reset output back to console)

Using Python (Universal Method)

Python works with any database and gives full control over the export process.

Example using sqlite3 and csv:

import sqlite3
import csv

conn = sqlite3.connect('your_database.db')
cursor = conn.cursor()
cursor.execute("SELECT * FROM employees WHERE department = 'Sales'")

with open('sales_employees.csv', 'w', newline='') as f:
writer = csv.writer(f)
writer.writerow([i[0] for i in cursor.description]) # header
writer.writerows(cursor)

conn.close()

You can adapt this with psycopg2 for PostgreSQL or PyMySQL for MySQL.

Basically it comes down to your environment. Database-specific commands are quick for simple exports. Python offers flexibility, especially when automation or client-side exports are needed.

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