The Java Team has released Morphia, version 0.101. Rumors of Morphia’s demise have been greatly exaggerated. This release formalizes the 0.99-SNAPSHOT code that many have been using for years. Apart from some formatting and minor style ch
The Java Team has released Morphia, version 0.101. Rumors of Morphia’s demise have been greatly exaggerated.
This release formalizes the 0.99-SNAPSHOT code that many have been using for years. Apart from some formatting and minor style changes, there is no functional change from what’s been on Google Code for the past few years.
We’re currently doing a follow-up release to incorporate the enhancements made in James Green’s fork. At that point, we can start working through the backlog of issues logged against Morphia and begin evolving the project.
As part of the mission to revive the project, we’ve migrated the Morphia code (and wiki, and issues) from Google Code to GitHub. This should make it much easier to contribute to Morphia via pull requests. Feel free to submit pull requests for the bugs or irritating documentation fixes that you want. The Google Code site will notify users that Github is now the place to be. You can find the Github repo here
We released 0.101 into Maven Central, so you’ll be able to get your updated version and future versions easily through Maven or Gradle. You can find the release notes here Github.
Further down the line, Morphia will run on the new Java driver that we’ve been working on all year.
We’re aware that the community has been somewhat split between the snapshot release and James’s fork, and we’ve spoken to James Green, who has maintained Morphia for awhile, about our plans. We want to make sure that we’re all moving in the same direction and that we involve the community in our efforts. We’d like to thank James for the work he’s done so far keeping Morphia alive, and look forward to working with him and the whole Morphia community more closely in the future.
The Java Team: Jeff Yemin, Justin Lee & Trisha Gee
原文地址:Morphia Version 0.101 Released, 感谢原作者分享。

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


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

Atom editor mac version download
The most popular open source editor

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 English version
Recommended: Win version, supports code prompts!
