Problem Background
The company is engaged in e-commerce systems, and the entire system is built on Huawei Cloud. When designing the system, considering that the number of subsequent users and orders is relatively large, some large database components need to be used. For the relational database, considering the rapid growth of subsequent data volume, instead of directly writing to MySQL, Huawei Cloud's distributed database middleware DDM was used. After using DDM, you can directly increase the number of MySQL read instances without the business being aware of it, linearly improving the read performance. It also supports sub-databases and tables at the middleware level, providing operations for massive relational databases. It is simply customized for e-commerce systems.
DDM itself provides services in the form of a cluster, and multiple connection IP addresses are open to the business. A layer of load balancing is required. If you use the traditional method of adding LB for load balancing, there will be an extra layer of transit, which will cause performance losses. Therefore, the client load balancing capability provided by MySQL-JDBC is directly used.
The logical structure is shown in the figure below:
▲The business can access multiple DDM nodes through the Loadbalance of MySQL-JDBC. MySQL-JDBC provides load balancing capabilities.
Problem Description
The client load balancing capability of MySQL JDBC driver has been running well and the performance is amazing. But a while ago, the business request failed for no reason. I am responsible for the e-commerce order module, which involves real Money. This problem scared me into a cold sweat...
So I quickly checked the background log and found that there was an exception when accessing DDM. Without saying anything, I directly Submitted a work order to Huawei Cloud DDM Service.
I have to say that Huawei Cloud's service is still very good. Within half an hour, a dedicated staff member contacted me and worked with me to troubleshoot the problem.
Took down the logs of our business and analyzed them with DDM support staff, and found that the error was reported as follows: The root cause turned out to be a bug in the MySQL driver, which caused the local stack overflow of StackOverflow. ……It turned out to be a murder caused by a bug. I misunderstood the DDM service. I’m really sorry.
It can be seen from the stack , an exception triggered a bug in MySQL-JDBC, causing loop calls until the stack overflowed. At the suggestion of Huawei DDM support staff, the driver code was decompiled. From the decompilation, we can see that there is indeed the possibility of loop nesting.
Loadbalance polling connection -> Synchronize the status of new and old connections -> Send sql to the server -> Loadbalance polling connection.
The relevant code is as follows:
Modification plan
loadBalanceAutoCommitStatementThreshold was modified to 5, but the problem introduced is that if the business contains some time-consuming SQL, it may cause DDM load imbalance . However, judging from the current situation, the performance of DDM is still relatively strong~Related articles:BUGs and strategies for PHP driver MongoDB integer issues
Configuring JDBC driver for MySql database under WebLogic
Related videos:Boolean Education Yan Shiba mysql introductory video tutorial
The above is the detailed content of Description of bugs caused by MySQL-JDBC driver. For more information, please follow other related articles on the PHP Chinese website!

MySQL'sBLOBissuitableforstoringbinarydatawithinarelationaldatabase,whileNoSQLoptionslikeMongoDB,Redis,andCassandraofferflexible,scalablesolutionsforunstructureddata.BLOBissimplerbutcanslowdownperformancewithlargedata;NoSQLprovidesbetterscalabilityand

ToaddauserinMySQL,use:CREATEUSER'username'@'host'IDENTIFIEDBY'password';Here'showtodoitsecurely:1)Choosethehostcarefullytocontrolaccess.2)SetresourcelimitswithoptionslikeMAX_QUERIES_PER_HOUR.3)Usestrong,uniquepasswords.4)EnforceSSL/TLSconnectionswith

ToavoidcommonmistakeswithstringdatatypesinMySQL,understandstringtypenuances,choosetherighttype,andmanageencodingandcollationsettingseffectively.1)UseCHARforfixed-lengthstrings,VARCHARforvariable-length,andTEXT/BLOBforlargerdata.2)Setcorrectcharacters

MySQloffersechar, Varchar, text, Anddenumforstringdata.usecharforfixed-Lengthstrings, VarcharerForvariable-Length, text forlarger text, AndenumforenforcingdataAntegritywithaetofvalues.

Optimizing MySQLBLOB requests can be done through the following strategies: 1. Reduce the frequency of BLOB query, use independent requests or delay loading; 2. Select the appropriate BLOB type (such as TINYBLOB); 3. Separate the BLOB data into separate tables; 4. Compress the BLOB data at the application layer; 5. Index the BLOB metadata. These methods can effectively improve performance by combining monitoring, caching and data sharding in actual applications.

Mastering the method of adding MySQL users is crucial for database administrators and developers because it ensures the security and access control of the database. 1) Create a new user using the CREATEUSER command, 2) Assign permissions through the GRANT command, 3) Use FLUSHPRIVILEGES to ensure permissions take effect, 4) Regularly audit and clean user accounts to maintain performance and security.

ChooseCHARforfixed-lengthdata,VARCHARforvariable-lengthdata,andTEXTforlargetextfields.1)CHARisefficientforconsistent-lengthdatalikecodes.2)VARCHARsuitsvariable-lengthdatalikenames,balancingflexibilityandperformance.3)TEXTisidealforlargetextslikeartic

Best practices for handling string data types and indexes in MySQL include: 1) Selecting the appropriate string type, such as CHAR for fixed length, VARCHAR for variable length, and TEXT for large text; 2) Be cautious in indexing, avoid over-indexing, and create indexes for common queries; 3) Use prefix indexes and full-text indexes to optimize long string searches; 4) Regularly monitor and optimize indexes to keep indexes small and efficient. Through these methods, we can balance read and write performance and improve database efficiency.


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

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

WebStorm Mac version
Useful JavaScript development tools

SublimeText3 Chinese version
Chinese version, very easy to use

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.
