Navicat for MySQL與MySQL GUI Tools比較_MySQL
Jun 01, 2016 pm 02:02 PMNavicatmysqlGUI
??? 前言
??? MySQL GUI工具很多,本文就常用的Navicat for MySQL與MySQL GUI Tools的特色功能做一個詳細(xì)介紹與比較。
??? (一)MySQL GUI Tools
??? MySQL官方提供的一個可視化界面的MySQL數(shù)據(jù)庫管理控制臺,提供了四個圖形化應(yīng)用程序,這些圖形化管理工具可以大大提高數(shù)據(jù)庫管理、備份、遷移和查詢效率。它們分別是:
??? ● MySQL Migration Toolkit
??? ● MySQL Administrator
??? ● MySQL Query Browser
??? ● MySQL Workbench
??? 1.MySQL Query Browser
??? MySQL查詢?yōu)g覽器是為MySQL數(shù)據(jù)庫服務(wù)器創(chuàng)造,執(zhí)行和優(yōu)化SQL查詢的最簡單的可視化工具。MySQL Query Browser主要特色功能:
??? ●查詢工具欄導(dǎo)航按鈕,讓您瀏覽查詢歷史,可以回顧及重新執(zhí)行以前的查詢??梢员4娌樵?,打開查詢文件 *.qbquery。
??? ●使用結(jié)果窗口輕松管理多個查詢
??? 比較多個查詢通過查看制表符分隔,或是縱向或是橫向聯(lián)合的顯示在結(jié)果窗口。此外,解釋按鈕,可以用來獲得解釋,輸出為當(dāng)前查詢。比較按鈕允許您快速比較兩個查詢的結(jié)果,讓您確定在何處行已插入,更新或刪除。
??? ●腳本編輯與調(diào)試
??? 腳本區(qū)域的特點是編號和語法突出。另外,腳本調(diào)試按鈕,使您可以設(shè)置斷點和控制執(zhí)行該語句和腳本。
??? ●內(nèi)置幫助
??? 即時幫助你獲得搜選的對象,參數(shù),和職能,可以查看mysql syntax語句句法,函數(shù),參數(shù)。
??? 2.MySQL Administrator
??? Mysql Administrator讓使用者更容易管理和監(jiān)測你的MySQL環(huán)境,并對數(shù)據(jù)庫取得更好的能見度。
??? MySQL Administrator主要特色功能:
??? ● 啟動/停止mysql服務(wù)
??? ● 健康狀況查看:連接健康實時曲線圖查看(連接使用率,流量,sql查詢數(shù)), 內(nèi)存健康查看(Query Cache Hitrate,Key Efficiency), 狀態(tài)變量查看(普通,性能,網(wǎng)絡(luò),執(zhí)行的命令,混合,新變量) , 系統(tǒng)變量查看(普通,連接,SQL,內(nèi)存,表類型,新變量)
??? 3.Migration Toolkit
??? ●可以從MS SQL,Oracle等數(shù)據(jù)庫移植復(fù)制數(shù)據(jù)庫到Mysql。
??? 4.MySQL Workbench
??? ●添加EER 圖表(Extended Entity-Relationship的縮寫)
??? ●使用默認(rèn)Schema,創(chuàng)建新表,新的視圖等對象
??? ●可以導(dǎo)入SQL腳本
??? 缺點:
??? ●Mysql Query Browser總是做了幾個查詢之后就使用內(nèi)存太多。
??? ●手動安裝 MySQL GUI Tools 5.0時,將目錄名稱取名為中文,或是將它放置在桌面上執(zhí)行 MySQL Query Browser,在中文系統(tǒng)會產(chǎn)生此問題:..... MySQL GUI Tools 5.0\XML\mysqlqb_functions.xml (error
??? ●中文介紹及中文資料不多。
??? ●導(dǎo)入導(dǎo)出支持格式太少。?

Hot AI Tools

Undress AI Tool
Undress images for free

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

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

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

mysqldump is a common tool for performing logical backups of MySQL databases. It generates SQL files containing CREATE and INSERT statements to rebuild the database. 1. It does not back up the original file, but converts the database structure and content into portable SQL commands; 2. It is suitable for small databases or selective recovery, and is not suitable for fast recovery of TB-level data; 3. Common options include --single-transaction, --databases, --all-databases, --routines, etc.; 4. Use mysql command to import during recovery, and can turn off foreign key checks to improve speed; 5. It is recommended to test backup regularly, use compression, and automatic adjustment.

When handling NULL values ??in MySQL, please note: 1. When designing the table, the key fields are set to NOTNULL, and optional fields are allowed NULL; 2. ISNULL or ISNOTNULL must be used with = or !=; 3. IFNULL or COALESCE functions can be used to replace the display default values; 4. Be cautious when using NULL values ??directly when inserting or updating, and pay attention to the data source and ORM framework processing methods. NULL represents an unknown value and does not equal any value, including itself. Therefore, be careful when querying, counting, and connecting tables to avoid missing data or logical errors. Rational use of functions and constraints can effectively reduce interference caused by NULL.

GROUPBY is used to group data by field and perform aggregation operations, and HAVING is used to filter the results after grouping. For example, using GROUPBYcustomer_id can calculate the total consumption amount of each customer; using HAVING can filter out customers with a total consumption of more than 1,000. The non-aggregated fields after SELECT must appear in GROUPBY, and HAVING can be conditionally filtered using an alias or original expressions. Common techniques include counting the number of each group, grouping multiple fields, and filtering with multiple conditions.

MySQL paging is commonly implemented using LIMIT and OFFSET, but its performance is poor under large data volume. 1. LIMIT controls the number of each page, OFFSET controls the starting position, and the syntax is LIMITNOFFSETM; 2. Performance problems are caused by excessive records and discarding OFFSET scans, resulting in low efficiency; 3. Optimization suggestions include using cursor paging, index acceleration, and lazy loading; 4. Cursor paging locates the starting point of the next page through the unique value of the last record of the previous page, avoiding OFFSET, which is suitable for "next page" operation, and is not suitable for random jumps.

To view the size of the MySQL database and table, you can query the information_schema directly or use the command line tool. 1. Check the entire database size: Execute the SQL statement SELECTtable_schemaAS'Database',SUM(data_length index_length)/1024/1024AS'Size(MB)'FROMinformation_schema.tablesGROUPBYtable_schema; you can get the total size of all databases, or add WHERE conditions to limit the specific database; 2. Check the single table size: use SELECTta

To set up asynchronous master-slave replication for MySQL, follow these steps: 1. Prepare the master server, enable binary logs and set a unique server-id, create a replication user and record the current log location; 2. Use mysqldump to back up the master library data and import it to the slave server; 3. Configure the server-id and relay-log of the slave server, use the CHANGEMASTER command to connect to the master library and start the replication thread; 4. Check for common problems, such as network, permissions, data consistency and self-increase conflicts, and monitor replication delays. Follow the steps above to ensure that the configuration is completed correctly.

MySQL supports transaction processing, and uses the InnoDB storage engine to ensure data consistency and integrity. 1. Transactions are a set of SQL operations, either all succeed or all fail to roll back; 2. ACID attributes include atomicity, consistency, isolation and persistence; 3. The statements that manually control transactions are STARTTRANSACTION, COMMIT and ROLLBACK; 4. The four isolation levels include read not committed, read submitted, repeatable read and serialization; 5. Use transactions correctly to avoid long-term operation, turn off automatic commits, and reasonably handle locks and exceptions. Through these mechanisms, MySQL can achieve high reliability and concurrent control.

Character set and sorting rules issues are common when cross-platform migration or multi-person development, resulting in garbled code or inconsistent query. There are three core solutions: First, check and unify the character set of database, table, and fields to utf8mb4, view through SHOWCREATEDATABASE/TABLE, and modify it with ALTER statement; second, specify the utf8mb4 character set when the client connects, and set it in connection parameters or execute SETNAMES; third, select the sorting rules reasonably, and recommend using utf8mb4_unicode_ci to ensure the accuracy of comparison and sorting, and specify or modify it through ALTER when building the library and table.
