HikariCP-benchmark | JHM benchmarks for JDBC Connection Pools
kandi X-RAY | HikariCP-benchmark Summary
kandi X-RAY | HikariCP-benchmark Summary
HikariCP-benchmark is a Java library. HikariCP-benchmark has no vulnerabilities, it has build file available and it has low support. However HikariCP-benchmark has 5 bugs. You can download it from GitHub.
connectioncycle measures cycles of datasource.getconnection()/connection.close(). statementcycle measures cycles of connection.preparestatement(), statement.execute(), statement.close(). this set of microbenchmaks was developed to refine the hikaricp jdbc connection pool implementation, but it actually runs the same benchmarks across multiple pools. we have come to understand that benchmarking on the jvm, which employs dead code elimination (dce), lock-coalescing, inlining, loop-unrolling, on-stack replacement (osr) and a myriad of other tricks, renders most attempts at benchmarking completely invalid -- including our own original benchmarks. read all the things that [even smart] people get wrong about benchmarking on the jvm. the oracle jvm performance team, primarily aleksey shipilёv, developed a microbenchmarking framework called jmh. it provides the infrastructure (if used properly) for accurate comparative measurement of jvm-based execution. if you are interested in microbenchmarking at all, or just curious about all the wonderful things the jvm does, i highly recommend reading this slideshare. the benchmark.sh script is a wrapper around jmh execution. a full run of the benchmark will take about 45 minutes for all pools. there are several more
connectioncycle measures cycles of datasource.getconnection()/connection.close(). statementcycle measures cycles of connection.preparestatement(), statement.execute(), statement.close(). this set of microbenchmaks was developed to refine the hikaricp jdbc connection pool implementation, but it actually runs the same benchmarks across multiple pools. we have come to understand that benchmarking on the jvm, which employs dead code elimination (dce), lock-coalescing, inlining, loop-unrolling, on-stack replacement (osr) and a myriad of other tricks, renders most attempts at benchmarking completely invalid -- including our own original benchmarks. read all the things that [even smart] people get wrong about benchmarking on the jvm. the oracle jvm performance team, primarily aleksey shipilёv, developed a microbenchmarking framework called jmh. it provides the infrastructure (if used properly) for accurate comparative measurement of jvm-based execution. if you are interested in microbenchmarking at all, or just curious about all the wonderful things the jvm does, i highly recommend reading this slideshare. the benchmark.sh script is a wrapper around jmh execution. a full run of the benchmark will take about 45 minutes for all pools. there are several more
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HikariCP-benchmark has a low active ecosystem.
It has 145 star(s) with 51 fork(s). There are 11 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 5 have been closed. On average issues are closed in 3 days. There are 18 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of HikariCP-benchmark is current.
Quality
HikariCP-benchmark has 5 bugs (1 blocker, 1 critical, 3 major, 0 minor) and 262 code smells.
Security
HikariCP-benchmark has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
HikariCP-benchmark code analysis shows 0 unresolved vulnerabilities.
There are 4 security hotspots that need review.
License
HikariCP-benchmark does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
HikariCP-benchmark releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
HikariCP-benchmark saves you 1389 person hours of effort in developing the same functionality from scratch.
It has 3109 lines of code, 474 functions and 17 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed HikariCP-benchmark and discovered the below as its top functions. This is intended to give you an instant insight into HikariCP-benchmark implemented functionality, and help decide if they suit your requirements.
- Sets up benchmark
- Sets up vactor
- Setup data source
- Create a DruidDataSource
- Setup c3p p3p0 setup
- Sets up Hikari configuration
- Setup statuses
- Setup stat merge filter
- Sets up the UI
- Sets up Tomcat pool configuration
- Executes an SQL statement
- Executes the given SQL statement at the given column indexes
- Execute an SQL statement
- Executes the given SQL statement
- Returns true if the statement is valid
- Unwrap the wrapped connection
- Cycle over a connection
- Executes a SQL query
- Establishes a connection to a given URL
- Creates an INSERT statement
Get all kandi verified functions for this library.
HikariCP-benchmark Key Features
No Key Features are available at this moment for HikariCP-benchmark.
HikariCP-benchmark Examples and Code Snippets
No Code Snippets are available at this moment for HikariCP-benchmark.
Community Discussions
No Community Discussions are available at this moment for HikariCP-benchmark.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install HikariCP-benchmark
You can download it from GitHub.
You can use HikariCP-benchmark like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the HikariCP-benchmark component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use HikariCP-benchmark like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the HikariCP-benchmark component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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