MySQL is an open source relational database management system, mainly used to store, organize and retrieve data. Its main application scenarios include: 1. Web applications, such as blog systems, CMS and e-commerce platforms; 2. Data analysis and report generation; 3. Enterprise-level applications, such as CRM and ERP systems; 4. Embedded systems and Internet of Things devices.

To develop a complete Python Web application, follow these steps: 1. Choose the appropriate framework, such as Django or Flask. 2. Integrate databases and use ORMs such as SQLAlchemy. 3. Design the front-end and use Vue or React. 4. Perform the test, use pytest or unittest. 5. Deploy applications, use Docker and platforms such as Heroku or AWS. Through these steps, powerful and efficient web applications can be built.

Avoiding SQL injection in PHP can be done by: 1. Use parameterized queries (PreparedStatements), as shown in the PDO example. 2. Use ORM libraries, such as Doctrine or Eloquent, to automatically handle SQL injection. 3. Verify and filter user input to prevent other attack types.

Java middleware is a software that connects operating systems and application software, providing general services to help developers focus on business logic. Typical applications include: 1. Web server (such as Tomcat and Jetty), which handles HTTP requests; 2. Message queue (such as Kafka and RabbitMQ), which handles asynchronous communication; 3. Transaction management (such as SpringTransaction), which ensures data consistency; 4. ORM framework (such as Hibernate and MyBatis), which simplifies database operations.

Navicat improves database workflow through core functions such as data modeling, SQL development, data transmission and synchronization. 1) Data modeling tools allow the design of database structures by dragging and dropping. 2) SQL development tools provide syntax highlighting and automatic completion to improve the SQL writing experience. 3) The data transmission function automatically handles data type conversion and consistency checks to ensure smooth data migration. 4) The data synchronization function ensures data consistency in development and production environments.

Lock waiting issues can be solved by optimizing SQL statements, using appropriate transaction isolation levels, and monitoring database performance. 1. Optimize SQL statements to reduce lock holding time, such as improving query efficiency through indexing and partitioning. 2. Choose the appropriate transaction isolation level to avoid unnecessary lock waiting. 3. Monitor database performance and promptly discover and deal with lock waiting problems.

There are three ways to verify the correctness of SQL files: 1. Use DBMS's own tools, such as mysql command line tools; 2. Use special SQL syntax checking tools, such as SQLLint; 3. Use IDEs such as IntelliJIDEA or VisualStudioCode; 4. Write automated scripts for checking.

To handle "memory overflow" errors in Navicat, you can use the following steps: 1. Make sure that the Navicat version is up-to-date; 2. Check and may upgrade system memory; 3. Adjust Navicat settings, such as limiting the size of the query result set and processing data in batches; 4. Optimizing SQL statements and using indexes; 5. Optimizing queries with query analyzer; 6. Exporting data in batches; 7. Monitoring and managing log files. Through these methods, the risk of memory overflow can be effectively reduced and the efficiency and stability of database operations can be improved.