Dealing with MySQL connection death after 8 hours Hardly anything is more frustrating than coming back the day after to find your beautifully configured Pentaho installation handing up obscure error messages and seeming to hobble about as y
Dealing with MySQL connection death after 8 hoursHardly anything is more frustrating than coming back the day after to find your beautifully configured Pentaho installation handing up obscure error messages and seeming to hobble about as you log in and try to execute reports.
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MySQL connections timeout by default every 8 hours.? If Pentaho sits idle for more than 8 hours, its connection to the repository silently drops dead without Pentaho's knowledge.? When something stirs Pentaho after an 8 hour or greater time lapse, Pentaho assumes that its connection is still alive and currently there is no default mechanism in place that handles bringing a connection back to life.? Enter c3p0 (JDBC Connection Pooling software).
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The solution turns out to be fairly easy.? What is required is a piece of software to manage the database connection pool and keep the connections alive.? The recommended method is to use c3p0.
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More information about c3p0 can be found on the project's site:
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http://sourceforge.net/projects/c3p0http://www.mchange.com/projects/c3p0/index.html
To use c3p0 to solve this problem, first download the c3p0-0.9.1.2.bin.zip, stop your Java application server, take the jar files c3p0-0.9.2.jar and mchange-commons-java-0.2.3.3.jar inside the downloaded archive and copy them to your WEB-INF/lib directory on your java application server. I use Tomcat 6 on Ubuntu 8.10, so my installation path happens to be:
/var/lib/tomcat6/webapps/pentaho/WEB-INF/lib
Next, we'll need to modify the hibernate settings for MySQL.? The file we will modify is called mysql5.hibernate.cfg.xml and is located in the pentaho-solutions/system/hibernate folder by default.
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You will insert the following text just after the
<!-- hibernate c3p0 settings --> <property name="connection.provider_class">org.hibernate.connection.C3P0ConnectionProvider</property> <property name="hibernate.c3p0.acquire_increment">3</property> <property name="hibernate.c3p0.idle_test_period">10</property> <property name="hibernate.c3p0.min_size">5</property> <property name="hibernate.c3p0.max_size">75</property> <property name="hibernate.c3p0.max_statements">0</property> <property name="hibernate.c3p0.timeout">25200</property> <property name="hibernate.c3p0.preferredTestQuery">select 1</property> <property name="hibernate.c3p0.testConnectionOnCheckout">true</property> <!-- hibernate cache settings --> <!-- End of patch added Friday April 3, 2009 to address issues of the database connection going dead --> <property name="cache.provider_class">org.hibernate.cache.EhCacheProvider</property> <property name="hibernate.generate_statistics">true</property> <property name="hibernate.cache.use_query_cache">true</property>
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That's all there is to it.? Save the file and restart your application server and the dead connection problem should go away.

The main difference between MySQL and SQLite is the design concept and usage scenarios: 1. MySQL is suitable for large applications and enterprise-level solutions, supporting high performance and high concurrency; 2. SQLite is suitable for mobile applications and desktop software, lightweight and easy to embed.

Indexes in MySQL are an ordered structure of one or more columns in a database table, used to speed up data retrieval. 1) Indexes improve query speed by reducing the amount of scanned data. 2) B-Tree index uses a balanced tree structure, which is suitable for range query and sorting. 3) Use CREATEINDEX statements to create indexes, such as CREATEINDEXidx_customer_idONorders(customer_id). 4) Composite indexes can optimize multi-column queries, such as CREATEINDEXidx_customer_orderONorders(customer_id,order_date). 5) Use EXPLAIN to analyze query plans and avoid

Using transactions in MySQL ensures data consistency. 1) Start the transaction through STARTTRANSACTION, and then execute SQL operations and submit it with COMMIT or ROLLBACK. 2) Use SAVEPOINT to set a save point to allow partial rollback. 3) Performance optimization suggestions include shortening transaction time, avoiding large-scale queries and using isolation levels reasonably.

Scenarios where PostgreSQL is chosen instead of MySQL include: 1) complex queries and advanced SQL functions, 2) strict data integrity and ACID compliance, 3) advanced spatial functions are required, and 4) high performance is required when processing large data sets. PostgreSQL performs well in these aspects and is suitable for projects that require complex data processing and high data integrity.

The security of MySQL database can be achieved through the following measures: 1. User permission management: Strictly control access rights through CREATEUSER and GRANT commands. 2. Encrypted transmission: Configure SSL/TLS to ensure data transmission security. 3. Database backup and recovery: Use mysqldump or mysqlpump to regularly backup data. 4. Advanced security policy: Use a firewall to restrict access and enable audit logging operations. 5. Performance optimization and best practices: Take into account both safety and performance through indexing and query optimization and regular maintenance.

How to effectively monitor MySQL performance? Use tools such as mysqladmin, SHOWGLOBALSTATUS, PerconaMonitoring and Management (PMM), and MySQL EnterpriseMonitor. 1. Use mysqladmin to view the number of connections. 2. Use SHOWGLOBALSTATUS to view the query number. 3.PMM provides detailed performance data and graphical interface. 4.MySQLEnterpriseMonitor provides rich monitoring functions and alarm mechanisms.

The difference between MySQL and SQLServer is: 1) MySQL is open source and suitable for web and embedded systems, 2) SQLServer is a commercial product of Microsoft and is suitable for enterprise-level applications. There are significant differences between the two in storage engine, performance optimization and application scenarios. When choosing, you need to consider project size and future scalability.

In enterprise-level application scenarios that require high availability, advanced security and good integration, SQLServer should be chosen instead of MySQL. 1) SQLServer provides enterprise-level features such as high availability and advanced security. 2) It is closely integrated with Microsoft ecosystems such as VisualStudio and PowerBI. 3) SQLServer performs excellent in performance optimization and supports memory-optimized tables and column storage indexes.


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