jnr-ffi | Java Abstracted Foreign Function Layer | Wrapper library

by jnr Java Version: jnr-ffi-2.2.14 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | jnr-ffi Summary

jnr-ffi is a Java library typically used in Utilities, Wrapper applications. jnr-ffi has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However jnr-ffi has a Non-SPDX License. You can download it from GitHub, Maven.

JNR-FFI is a Java library for loading native libraries without writing JNI code by hand, or using tools such as SWIG.

Support

Quality

Security

License

Reuse

Support

jnr-ffi has a medium active ecosystem.

It has 1121 star(s) with 145 fork(s). There are 47 watchers for this library.

It had no major release in the last 6 months.

There are 72 open issues and 87 have been closed. On average issues are closed in 369 days. There are 21 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of jnr-ffi is jnr-ffi-2.2.14

Quality

jnr-ffi has 0 bugs and 0 code smells.

Security

jnr-ffi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

jnr-ffi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jnr-ffi has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

jnr-ffi releases are not available. You will need to build from source code and install.

Deployable package is available in Maven.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

jnr-ffi saves you 12376 person hours of effort in developing the same functionality from scratch.

It has 29681 lines of code, 4092 functions and 341 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed jnr-ffi and discovered the below as its top functions. This is intended to give you an instant insight into jnr-ffi implemented functionality, and help decide if they suit your requirements.

Builds map of native type aliases
Builds map of type aliases
Creates a map with native type aliases
Builds a map with native type aliases
Builds a native type map
Builds a map of native type aliases
Builds map with native type aliases
Build map of native type aliases
Build a map of native type aliases
Build a map of type aliases
Returns an array of specified length
Encodes the given string into a native Java buffer
Determine the CPU
Compile an ASM from a function
Writes the value as native
Returns a human readable string representation of this object
Constructs a string from a native object
Determines if the return value can be compiled
Replies if the current platform is supported
Determines if the given result types can be compiled
Reads values from a native Java native memory
Compile a function
Compile a JS function
Generate AsmBuilder
Attaches all the stubs in the class area
Attaches the assembler stubs
Builds a native type aliases
Creates a new variable accessor
Compares the given object to this annotation

Get all kandi verified functions for this library.

jnr-ffi Key Features

No Key Features are available at this moment for jnr-ffi.

jnr-ffi Examples and Code Snippets

No Code Snippets are available at this moment for jnr-ffi.

Community Discussions

Trending Discussions on jnr-ffi

Error while fetching data from cassandra using pyspark

QUESTION

Error while fetching data from cassandra using pyspark

Asked 2021-Dec-27 at 11:08

I am very new to apache spark and I just have to fetch a table from cassandra database, Below I have appended the data to debug the situation, Please help and thanks in advance. Cassandra Node:192.168.56.10 Spark Node: 192.168.56.10

Cassandra Table to be fetched: dev.device {keyspace.table_name}

Access pyspark with connection to cassandra:

...

ANSWER

Answered 2021-Dec-27 at 11:08

You can't use connector compiled for Scala 2.11 with Spark 3.2.0 that is compiled with Scala 2.12. You need to use appropriate version - right now it's 3.1.0 with coordinates com.datastax.spark:spark-cassandra-connector_2.12:3.1.0

P.S. Please note that although basic functionality will work, more advanced functionality won't work until the SPARKC-670 is fixed (see this PR)

Source https://stackoverflow.com/questions/70493376

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install jnr-ffi

You can download it from GitHub, Maven.
You can use jnr-ffi 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 jnr-ffi 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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