How to install and configure MS SQL (beta) on CentOS 7
In this article, we will learn how to install and configure MS SQL on CentOS 7. Microsoft recently announced their plans to release MS SQL for Linux. Specifically, beta versions are available for Red Hat Enterprise Linux, CentOS, and Ubuntu, but only for 64-bit versions.
Prerequisites
- A machine with at least 4GB RAM and 30GB hard drive space.
- A machine with CentOS 7 installed.
- User with root permissions or root user.
Installing MS SQL Server on CentOS
Since no MS SQL is available in the default CentOS repository, we need to add the details of the MS SQL repository to the local yum repository.
In order to install MS SQL Server using the command line, we need to add the repository to the local yum repository.
# curl https://packages.microsoft.com/config/rhel/7/mssql-server.repo > /etc/yum.repos.d/mssql-server.repo % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 220 100 220 0 0 257 0 --:--:-- --:--:-- --:--:-- 257
After updating the repository, we will run the following command to install the MS-SQL server
# yum update # yum install -y mssql-server … … Resolving Dependencies --> Running transaction check ---> Package mssql-server.x86_64 0:14.0.1.246-6 will be installed --> Processing Dependency: bzip2 for package: mssql-server-14.0.1.246-6.x86_64 --> Processing Dependency: gdb for package: mssql-server-14.0.1.246-6.x86_64 --> Running transaction check ---> Package bzip2.x86_64 0:1.0.6-13.el7 will be installed ---> Package gdb.x86_64 0:7.6.1-80.el7 will be installed --> Finished Dependency Resolution Dependencies Resolved ================================================================================ Package Arch Version Repository Size ================================================================================ Installing: mssql-server x86_64 14.0.1.246-6 packages-microsoft-com-mssql-server 138 M Installing for dependencies: bzip2 x86_64 1.0.6-13.el7 base 52 k gdb x86_64 7.6.1-80.el7 base 2.4 M Transaction Summary ================================================================================ Install 1 Package (+2 Dependent packages) … … +-------------------------------------------------------------------+ | Please run /opt/mssql/bin/sqlservr-setup to complete the setup of | | Microsoft(R) SQL Server(R). | +-------------------------------------------------------------------+ Verifying : mssql-server-14.0.1.246-6.x86_64 1/3 Verifying : gdb-7.6.1-80.el7.x86_64 2/3 Verifying : bzip2-1.0.6-13.el7.x86_64 3/3 Installed: mssql-server.x86_64 0:14.0.1.246-6 Dependency Installed: bzip2.x86_64 0:1.0.6-13.el7 gdb.x86_64 0:7.6.1-80.el7 Complete!
Configure MS SQL SA account
Once the installation is complete, we will run sqlservr- setup script to set the SA password; we need to provide a strong password for the SA account (at least 8 characters, lowercase and uppercase letters and numbers from 1 to 10 or any non-alphanumeric characters)
# sudo /opt/mssql/bin/sqlservr-setup Microsoft(R) SQL Server(R) Setup You can abort setup at any time by pressing Ctrl-C. Start this program with the --help option for information about running it in unattended mode. Please enter a password for the system administrator (SA) account: Please confirm the password for the system administrator (SA) account: Setting a password for the system administrator (SA) account Do you wish to start the SQL Server service now? [y/n]: Y Do you wish to enable SQL Server to start on boot? [y/n]: y Created symlink from /etc/systemd/system/multi-user.target.wants/mssql-server.service to /usr/lib/systemd/system/mssql-server.service. Created symlink from /etc/systemd/system/multi-user.target.wants/mssql-server-telemetry.service to /usr/lib/systemd/system/mssql-server-telemetry.service. Setup completed successfully.
After configuration is complete , we will restart the MS SQL service and use the following command to view the status of the service:
Restart the service
# systemctl start mssql-server
View the status of the service
# systemctl status mssql-server mssql-server.service - Microsoft(R) SQL Server(R) Database EngineLoaded: loaded (/usr/lib/systemd/system/mssql-server.service; enabled; vendor preset: disabled) Active: active (running) since Fri 2016-12-02 15:52:33 IST; 5min ago Main PID: 2299 (sqlservr) CGroup: /system.slice/mssql-server.service ├─2299 /opt/mssql/bin/sqlservr └─2307 /opt/mssql/bin/sqlservr Dec 02 15:52:37 localhost.localdomain sqlservr[2299]: 2016-12-02 10:22:37.31 spid17s.... Dec 02 15:52:37 localhost.localdomain systemd[1]: [/usr/lib/systemd/system/mssql-ser...' Dec 02 15:52:37 localhost.localdomain sqlservr[2299]: 2016-12-02 10:22:37.53 spid6s .... .. .. Dec 02 15:57:40 localhost.localdomain sqlservr[2299]: 2016-12-02 10:27:40.21 spid51 ...' Dec 02 15:57:43 localhost.localdomain systemd[1]: Started Microsoft(R) SQL Server(R)....Hint: Some lines were eclipsed, use -l to show in full.
Open the MS SQL firewall
We need to open the firewall settings so that MS SQL can be accessed. The following is the command to open the firewall
# sudo firewall-cmd --zone=public --add-port=1433/tcp --permanent # sudo firewall-cmd –reload
Install MS SQL tools
We need to download the Microsoft warehouse.
# curl https://packages.microsoft.com/config/rhel/7/prod.repo > /etc/yum.repos.d/msprod.repo % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0 100 193 100 193 0 0 213 0 --:--:-- --:--:-- --:--:-- 213
Once the repository is installed on the local machine, we can install MS SQL tools using the following command:
# yum install mssql-tools Loaded plugins: fastestmirror packages-microsoft-com-prod | 2.9 kB 00:00:00 packages-microsoft-com-prod/primary_db | 4.6 kB 00:00:00 Loading mirror speeds from cached hostfile * base: mirrors.digipower.vn * extras: mirror.digistar.vn * updates: mirror.digistar.vn Resolving Dependencies ======================================================================================== Package Arch Version Repository Size ======================================================================================== Installing: mssql-tools x86_64 14.0.1.246-1 packages-microsoft-com-prod 249 k Installing for dependencies: libtool-ltdl x86_64 2.4.2-21.el7_2 updates 49 k msodbcsql x86_64 13.0.1.0-1 packages-microsoft-com-prod 3.8 M unixODBC-utf16 x86_64 2.3.1-1 packages-microsoft-com-prod 329 k Transaction Summary ======================================================================================== Install 1 Package (+3 Dependent packages) Total download size: 4.5 M Installed size: 4.5 M Is this ok [y/d/N]: ^CN Exiting on user command Your transaction was saved, rerun it with: yum load-transaction /tmp/yum_save_tx.2016-12-02.17-18.RpEVqg.yumtx Do you accept the license terms? (Enter YES or NO)YES Installing : msodbcsql-13.0.1.0-1.x86_64 3/4 The license terms for this product can be downloaded from http://go.microsoft.com/fwlink/?LinkId=746949 and found in /usr/share/doc/mssql-tools/LICENSE.txt . By entering 'YES,' you indicate that you accept the license terms. Do you accept the license terms? (Enter YES or NO)YES Dependency Installed: libtool-ltdl.x86_64 0:2.4.2-21.el7_2 msodbcsql.x86_64 0:13.0.1.0-1 unixODBC-utf16.x86_64 0:2.3.1-1 Complete!
Connect to SQL Server on Linux
on the computer After installing the tool, we will test the following commands and general syntax to connect to MS SQL Server.
Syntax
# sqlcmd –S IP-ADDRESS –U SA –P ‘<YOUR SYSTEM PASSWORD’ # sqlcmd sqlcmd -S localhost -U SA -P Test@1234 1>CREATE DATABASE TEST1; 2>GO; 3>quit
In the above article, we learned – How to install MS SQL Server, MS SQL command line tool to connect to the server. We also learned – How to change or set SA account password for MS SQL.
The above is the detailed content of How to install and configure MS SQL (beta) on CentOS 7. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

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

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











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.

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.

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.

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.

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.

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.

LaravelEloquent Model Retrieval: Easily obtaining database data EloquentORM provides a concise and easy-to-understand way to operate the database. This article will introduce various Eloquent model search techniques in detail to help you obtain data from the database efficiently. 1. Get all records. Use the all() method to get all records in the database table: useApp\Models\Post;$posts=Post::all(); This will return a collection. You can access data using foreach loop or other collection methods: foreach($postsas$post){echo$post->

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.
