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.

The method of using Navicat to restore .bak files is as follows: 1. Open Navicat and connect to the SQLServer instance. 2. Create a new database or select an existing database. 3. Enter and execute the RESTOREDATABASESQL statement in the query editor to ensure that the path and name are correct. 4. Pay attention to the use of database name, file path, WITHREPLACE and MOVE options to ensure successful recovery.

The steps to connect to an Oracle database connection pool using JDBC include: 1) Configure the connection pool, 2) Get the connection from the connection pool, 3) Perform SQL operations, and 4) Close the resources. Use OracleUCP to effectively manage connections and improve performance.

Optimizing MySQL query performance and correct use of indexes must start from four aspects: reasonable index creation, avoiding full table scanning, optimizing SQL writing, and regular table maintenance. 1. Create index reasonably, the primary key will automatically have an index. Fields commonly used for query conditions such as user ID and order number are recommended to add indexes. When combined queries are often used, joint indexes can be used and the leftmost matching principle is adhered to; 2. Avoid full table scanning, check whether to use indexes through EXPLAIN, and avoid index failure due to function operations, fuzzy query start with wildcards, type conversion, and OR connections; 3. Optimize SQL writing, avoid SELECT*, reduce data transmission, and use JOIN instead of multi-layer subqueries, and use index-based cursors when paging big data; 4. Regularly analyze and maintain tables, use

Common SQL statements include: 1. CREATETABLE creates tables, such as CREATETABLEemployees(idINTPRIMARYKEY, nameVARCHAR(100), salaryDECIMAL(10,2)); 2. CREATEINDEX creates indexes, such as CREATEINDEXidx_nameONemployees(name); 3. INSERTINTO inserts data, such as INSERTINTO employeees(id, name, salary)VALUES(1,'JohnDoe',75000.00); 4. SELECT check

Extracting table structure information from SQL files can be achieved through the following steps: 1. Use regular expressions or SQL parsing library to parse CREATETABLE statements; 2. Extract table names, column names, data types and constraints; 3. Consider syntax differences and complex constraints of different DBMSs; 4. Consider performance and error handling when handling large files. This method facilitates database design and maintenance.