Home Database Mysql Tutorial mysql导入数据方法(txt,csv)

mysql导入数据方法(txt,csv)

Jun 07, 2016 pm 05:51 PM
Import Data

本文章介绍了利用 mysqlimport命令来实现数据导入方法,包括txt,csv,.sql的文件的操作,有需要了解的同学可参考一下。

 

mysqlimport
示例
mysqlimport -uroot -p123456 test /tmp/mytbl.txt;
约定:文件名的最后一部分为表名,以上语句导入到表mytbl
mysqlimport必须指定,以上语句数据库为test
 

 导入csv

mysqlimport -uroot -p --local --lines-terminated-by="rn" --fields-terminated-by="," --fields-enclosed-by=""" test /tmp/mytbl.csv
 

load data
示例
mysql> load data  infile '/tmp/mytbl.txt' into table mytbl
load data可以不指定数据库
以上语句中,mysql必须有/tmp/的读权限
导入csv
mysql> load data  infile '/tmp/mytbl.csv' into table mytbl fields terminated by ',' enclosed by '"' lines terminated by 'rn'
 

处理重复主键
替换已有值
mysql> load data infile '/tmp/mytbl.txt' replace into table mytbl fields terminated by 't' lines terminated by 'n'
表中已有则不导入
mysql> load data infile '/tmp/mytbl.csv' ignore into table mytbl fields terminated by ',' enclosed by '"' lines terminated by 'rn'
跳过文件行
以下示例为跳过第一行
mysql> load data infile '/tmp/mytbl.txt' into table mytbl ignore 1 lines;
预处理
文件data.txt内容:
Date Time Name Weight State
2006-09-01 12:00:00 Bill Wills 200 Nevada
2006-09-02 09:00:00 Jeff Deft 150 Oklahoma
2006-09-04 03:00:00 Bob Hobbs 225 Utah
2006-09-07 08:00:00 Hank Banks 175 Texas
文件必须被加载入如下的表
create table tbl
(
dt datetime,
last_name char(10),
first_name char(10),
weight_kg float,
st_abbrev char(2)
)
create table states
(
name varchar(20),
shortname char(2)
)
states 表中内容:
name shortname
Nevada NV
Oklahoma OK
Utah UT
Texas TX
insert into states
values('Nevada','NV')
,('Oklahoma','OK')
,('Utah', 'UT')
,('Texas', 'TX')
导入:
load data infile '/tmp/data.txt' into table tbl
ignore 1 lines
(@date,@time,@name,@weight_lb,@state)
set dt=concat(@date,' ',@time),
     first_name=substring_index(@name,' ',1),
     last_name=substring_index(@name,' ',-1),
     weight_kg=@weight_lb * .454,
     st_abbrev = (select shortname from states where name=@state);
 
结果:
mysql> select * from tbl;                                                                                                                                               +---------------------+-----------+------------+-----------+-----------+
| dt                  | last_name | first_name | weight_kg | st_abbrev |
+---------------------+-----------+------------+-----------+-----------+
| 2006-09-01 12:00:00 | Wills     | Bill       |      90.8 | NV        |
| 2006-09-02 09:00:00 | Deft      | Jeff       |      68.1 | OK        |
| 2006-09-04 03:00:00 | Hobbs     | Bob        |    102.15 | UT        |
| 2006-09-07 08:00:00 | Banks     | Hank       |     79.45 | TX        |
+---------------------+-----------+------------+-----------+-----------+
将windows本地文件导入到下的mysql数据库,加local
load data local infile 'C:/mytbl.txt' into table mytbl fields terminated by 't' lines terminated by 'rn'

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

Explain InnoDB Full-Text Search capabilities. Explain InnoDB Full-Text Search capabilities. Apr 02, 2025 pm 06:09 PM

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Difference between clustered index and non-clustered index (secondary index) in InnoDB. Difference between clustered index and non-clustered index (secondary index) in InnoDB. Apr 02, 2025 pm 06:25 PM

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values ​​and pointers to data rows, and is suitable for non-primary key column queries.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

RDS MySQL integration with Redshift zero ETL RDS MySQL integration with Redshift zero ETL Apr 08, 2025 pm 07:06 PM

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

See all articles