A connection pool is a technique used in database management to optimize the use of database connections in applications. It maintains a pool (or cache) of database connections that are reused, rather than creating and closing connections repeatedly. This improves application performance by reducing the overhead associated with opening and closing database connections.
At application startup, the connection pool creates a number of database connections (based on the configuration).
These connections remain open and idle(when it is not being used by any program), ready to be used.
When an application needs to interact with the database, it requests a connection from the pool.
If a connection is available, it is provided to the application immediately.
If no connection is available, the pool might wait for one to be returned or create a new connection (depending on the configuration).
After the application finishes its database operations, it returns the connection to the pool.
The pool keeps the connection alive for future requests.
Idle connections that are not used for a certain period may be closed to free resources (based on the pool's idle timeout configuration).
The minimum number of connections that remain in the pool, even if they are idle.
The maximum number of connections the pool can create.
The amount of time a connection can remain idle before being closed.
Regular checks to ensure connections in the pool are still valid (not stale or broken).
Mechanisms to detect and log connections that are checked out but not returned properly.
The default timeout for TCP listeners is 300 seconds, and for HTTP listeners it's 60 seconds. The maximum timeout value is 7,200 seconds.
The default session timeout for Oracle APEX is 5 minutes (300 seconds). You can change this value by entering a positive integer or setting it to 0 to disable session timeout warnings
The default keep-alive timeout is 30 seconds, and the maximum is 300 seconds (5 minutes). This timeout determines how long the server will keep HTTP keep-alive connections open
The default timeout is 60 seconds. You can increase this value if you're executing SQL operations that might take longer.
The default timeout for authorized web users is 15 minutes, and for authorized command-line users it's 12 hours
The default timeout is 20 minutes
Copy this this 'compile "com.zaxxer:HikariCP:2.7.7' and past in the build.gradle file and run the project
Add the following properties in application.yml file
dataSource:
pooled: true
poolName: HikariPCPool
jmxExport: true
#logSql: true
#formatSql: true
driverClassName: oracle.jdbc.OracleDriver
dialect: org.hibernate.dialect.Oracle10gDialect
username: *******
password: *******
dbCreate: update
hikari:
maximumPoolSize: 20
minimumIdle: 20
#idleTimeout: 10000
#connectionTimeout: 30000
maxLifetime: 3600000
connectionTestQuery: SELECT 1
validationTimeout: 5000
leakDetectionThreshold: 1200000
jmxEnabled: true
testOnBorrow: false
testOnReturn: false
testWhileIdle: false
validationQuery: SELECT 1
validationQueryTimeout: -1
timeBetweenEvictionRunsMillis: 60000
#minEvictableIdleTimeMillis: 900000
#validationInterval: 3000
#jdbcInterceptors: ConnectionState
When using Tomcat with a connection pool in a load balancing environment, a "hang" or slow response could be due to various factors. Here are some common causes and potential solutions:
If the connection pool is exhausted and no available connections are left,it can cause threads to wait indefinitely, leading to a "hang."
Solution:Increase the maximum number of connections in the connection pool. Monitor and optimize database queries to ensure they are efficient and don't hold connections unnecessarily. Ensure that connections are properly closed and returned to the pool after use.
In application.yml of tomcat server , you can set the pool properties like:
maximumPoolSize: 50 minimumIdle: 50
Or In context.xml of tomcat server , you can set the pool properties like:
Resource name="jdbc/yourDataSource"
auth="Container"
type="javax.sql.DataSource"
driverClassName="com.mysql.cj.jdbc.Driver"
url="jdbc:mysql://localhost:3306/yourdb"
username="yourusername"
password="yourpassword"
maxTotal="100"
maxIdle="30"
minIdle="10"
maxWaitMillis="10000"/>
If the threads that handle incoming requests are blocked, either by database connections or other resources, it can lead to a situation where no threads are available to process new requests, causing a hang.
Solution:Increase the number of available worker threads in Tomcat by adjusting the maxThreads attribute
In application.yml of tomcat server , you can set the pool properties like:
maximumPoolSize: 50 minimumIdle: 50
Or Go to in the server.xml of tomcat server configuration file:
Connector port="8080" protocol="HTTP/1.1"
maxThreads="200" minSpareThreads="25"
connectionTimeout="20000" redirectPort="8443" />
Check for any deadlock situations or blocking operations in your code or database queries.
If you're using a load balancer in front of multiple Tomcat instances, incorrect load balancing configuration or session stickiness issues could result in uneven distribution of traffic, causing some instances to become overloaded while others are underutilized.
Solution:Ensure sticky sessions (also known as session affinity) are correctly configured if needed, so requests from the same client go to the same server.
Configure the load balancer to distribute traffic evenly across all Tomcat instances.
Sometimes misconfigured connection pool settings can lead to inefficient connection management, like improper timeouts or maximum wait times, causing delays in obtaining a connection and eventually leading to a hang.
Solution:Set appropriate values for maxWaitMillis (maximum time a connection can be borrowed before timing out) and validationQuery (query to check if the connection is valid before borrowing it).
In application.yml of tomcat server , you can set the pool properties like:
connectionTimeout: 30000 #30 seconds idleTimeout: 60000*10 #10 min maxLifetime: 3600000 #1 hours
Or In context.xml of tomcat server , you can set the pool properties like:
Resource name="jdbc/yourDataSource"
auth="Container"
type="javax.sql.DataSource"
driverClassName="com.mysql.cj.jdbc.Driver"
url="jdbc:mysql://localhost:3306/yourdb"
username="yourusername"
password="yourpassword"
maxTotal="50"
maxIdle="20"
minIdle="5"
maxWaitMillis="5000"
validationQuery="SELECT 1" />
If connections or resources aren't being cleaned up properly (e.g., connections not closed properly, or thread leaks), it can eventually cause the system to hang as resources become exhausted.
Solution:In application.yml of tomcat server , you can set the pool properties like:
connectionTimeout: 30000 #30 seconds leakDetectionThreshold: 1200000 // 12 min
Or In context.xml of tomcat server , you can set the pool properties like:
Resource name="jdbc/yourDataSource"
logAbandoned="true"
removeAbandoned="true"
removeAbandonedTimeout="60" />
A misconfigured JVM or garbage collection (GC) behavior can cause performance degradation and potential hangs, especially under heavy load.
Solution:Monitor the JVM and GC logs to check for any long GC pauses or other issues that might be causing delays. Adjust JVM settings for optimal garbage collection tuning, such as adjusting heap sizes or choosing a different GC strategy like G1GC for better performance in high-load situations.
Ensure there are no network-related issues between Tomcat and the database server. Connection timeouts or network partitioning could cause hangs if connections are not established correctly.
Solution:Ensure your database server is reachable and has sufficient resources (e.g., CPU, memory). Set appropriate timeouts and retry logic for the database connection.
Sometimes, issues in your application code, like deadlocks, infinite loops, or other blocking operations, can cause the application to hang.
Solution:Profile the application using a tool like VisualVM or JProfiler to track down slow or blocking operations. Review your application code to ensure that you are handling resources efficiently and that you don't have blocking or deadlocking code patterns. By addressing these potential issues, you can improve the performance and reliability of your Tomcat-based load-balanced environment and reduce the chances of experiencing hangs or slowdowns.
Total : 34402
Today :26
Today Visit Country :