![]() Ĭreate exact copies of an existing table, within the same database or in another one. International character support in editors, database tree, log panel. Visually create and edit tables, without hiding the CREATE/ALTER TABLE query.Ĭreate and modify VIEWs on newer MariaDB/MySQL servers.Ĭreate and edit stored procedures and functions.Ĭreate and modify TRIGGERs on newer MariaDB/MySQL servers.Ĭreate and modify scheduled scripts (EVENTs). Used to rename, delete, empty and modify tables.Ĭreate, modify databases and assign a character set + collation. ![]() Graphical statistics on the amount of all different SQL commands.ĭetails about tables and views. Used to analyze executed SQL and to kill bad processes. Filterable.Įditable server variables, either for session or global scope. Most of them are editable by doubleclick. A pulldown showing assigned database objects reveals everything. The list of wanted databases can be limited and sorted alphabetically.Įstablishing connections to MariaDB/MySQL servers through an SSH tunnel, using plink.exe.Īdminister MariaDB/MySQL accounts as easily as a toy. The very first dialog which asks for hostname and credentials. Launch a parallel mysql.exe command line window using your current connection settings Optimize and repair tables in a batch manner Write queries with customizable syntax-highlighting and code-completionįind specific text in all tables of all databases of one server Generate nice SQL-exports, compress these afterwards, or put them on the clipboard.Įxport from one server/database directly to another server/databaseĮxport table rows as CSV, HTML, XML, SQL, LaTeX, Wiki Markup and PHP Arrayīrowse and edit table-data using a comfortable gridīulk edit tables (move to db, change engine, collation etc.)īatch-insert ascii or binary files into tables Invented in 2002 by Ansgar, with a development peak between 20, HeidiSQL belongs to the most popular tools for MariaDB and MySQL worldwide.Ĭonnect to multiple servers in one windowĬonnect via SSH tunnel, or pass SSL settingsĬreate and edit tables, views, stored routines, triggers and scheduled events. "Heidi" lets you see and edit data and structures from computers running one of the database systems MariaDB, MySQL, Microsoft SQL, PostgreSQL and SQLite. We don't believe in fake/misleading download buttons and tricks. It’s key to note here that since MySQL 5.7, the DML (Select, Update, Delete, Insert, and Replace) commands are allowed in EXPLAIN-Thus, we will not just mention SELECT in our explanations.Always scroll to the bottom of the page for the download link. The EXPLAIN tool in MySQL describes how the DML will be executed and that includes the table structure as well. Similarly, in the MySQL explain plan realm, the EXPLAIN tool helps to fetch the running cost of a query before it’s actually executed. In our daily life, we generally tend to inquire about the cost of goods before we actually purchase them. The Right Way to Interpret the EXPLAIN results So, let’s get into how we can interpret the results the EXPLAIN statement gives us. Since you are it’s it’s a sign that you want to make your queries faster. However, we have seen DBAs and developers rarely use it. They offer explanations and insights as to why your queries are slow or performing poorly. ![]() The EXPLAIN keyword is an extremely powerful tool to understand and optimize MySQL queries. When execution finishes, EXPLAIN ANALYZE will print the plan and the measurements instead of the query result. It will plan the query, instrument it and execute it while counting rows and measuring time spent at various points in the execution plan. What Is MySQL Explain plan ?ĮXPLAIN ANALYZE is a profiling tool for your queries that will show you where MySQL spends time on your query and why. The MySQL explain plan allows you to view the plan by using the EXPLAIN keyword as a prefix to your request. Its job is to design an optimal MySQL query execution plan for every single query that is executed. MySQL query optimizer is an in-built function of the database which automatically runs when you execute a query. 5.2 Tags The Purpose of MySQL query execution plan
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