1. The program counter is the line number indicator of the bytecode executed by the current thread. 2. The Java virtual machine stack thread is private and has the same life cycle as the thread. Used to store information such as local variable tables, operand stacks, dynamic linked lists, method exits, etc. Local variable table storage content: basic data types (boolean, byte, char, short, int, float, long, double) object reference (different from symbol reference, symbol reference is stored in the constant pool) returnAddress type (points to a bytecode instruction The address of long and double type data with a length of 64 bits occupies 2 local variable spaces (slots), and the rest occupies 1 slot. Two exceptions: StackOverflowError: The stack depth requested by the thread > the depth allowed by the virtual machine OutOfMemoryError: Unable to apply for enough memory during dynamic expansion 3. The native method stack (Native Method Stack) is similar to the virtual machine stack, the difference is the Native Method Stack service For the Native method, the virtual machine stack service
1. Recommended articles about mysql returning the current thread
Introduction: 1. The program counter is the line number indicator of the bytecode executed by the current thread. 2. The Java virtual machine stack thread is private and has the same life cycle as the thread. Used to store information such as local variable tables, operand stacks, dynamic linked lists, method exits, etc. Local variable table storage content: basic data types (boolean, byte, char, short, int, float, long, double) object reference (different from symbol reference, symbol reference is stored in the constant pool) returnAddress type (points to a bytecode instruction Address) 64...
2. Detailed introduction to the data area
Introduction: 1. Program Counter Line number indicator of the bytecode executed by the current thread. 2. The Java virtual machine stack thread is private and has the same life cycle as the thread. Used to store information such as local variable tables, operand stacks, dynamic linked lists, method exits, etc. Local variable table storage content: basic data types (boolean, byte, char, short, int, float, long, double) object reference (different from symbol reference, symbol reference is stored in the constant pool) returnAddress type (points to a bytecode instruction Address) 64...
3. JVM Learning Java Runtime Data Area
Introduction: Program counter Line number indicator of the bytecode executed by the current thread. 2. Java virtual machine stack is thread private and has the same life cycle as the thread. Used to store information such as local variable tables, operand stacks, dynamic linked lists, method exits, etc.
4. Java Example - Get the current thread name
##Introduction: The following example demonstrates how to obtain the current thread name by inheriting the Thread class and using the getName() method:
5. atitit.springhibernate's transaction mechanism Spring cannot save the object solution
Introduction: When using Hibernate in Spring, if we configure TransactionManager, then we should not call OpenSession() of SessionFactory to obtain Sessioin. Because the Session obtained in this way is not transaction managed. The session created using getCurrentSession() will be bound to the current thread, while the session created using openSession()
6. 7.24 LOCK TABLES/UNLOCK TABLES syntax MySQL does not support transaction environment I Fuck!
##Introduction: LOCK TABLES tbl_name [AS alias] {READ | [LOW_PRIORITY] WRITE} [, tbl_name {READ | [LOW_PRIORITY] WRITE} ...]. ..UNLOCK TABLES LOCK TABLES locks tables for the current thread. UNLOCK TABLES releases any locks held by the current thread. When the thread issues another LOCK TABLES, or when the server#java - Why my @Async not working ?
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Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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