learning-spark-examples | Examples for learning spark

by holdenk Java Version: Current License: MIT

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

kandi X-RAY | learning-spark-examples Summary

learning-spark-examples is a Java library typically used in Big Data, Spark applications. learning-spark-examples has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However learning-spark-examples has 2 bugs. You can download it from GitHub.

[buildstatus] Examples for Learning Spark.

Support

Quality

Security

License

Reuse

Support

learning-spark-examples has a low active ecosystem.

It has 328 star(s) with 271 fork(s). There are 39 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 27 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of learning-spark-examples is current.

Quality

learning-spark-examples has 2 bugs (2 blocker, 0 critical, 0 major, 0 minor) and 342 code smells.

Security

learning-spark-examples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

learning-spark-examples code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

learning-spark-examples is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

learning-spark-examples 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.

learning-spark-examples saves you 1759 person hours of effort in developing the same functionality from scratch.

It has 3891 lines of code, 230 functions and 108 files.

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

Top functions reviewed by kandi - BETA

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

An AccumulatorExample
Creates a request for a specified sign
Reads the exchange call log
Load the call sign table
Starts the analysis
Redirects a Stream of AccessLogs
Sets the statistics from the command line arguments
Calculates the total RDDs of the given access logs
Simple basic loading
Simple flatMap
Load json with sparkline
Starts a JavaDoubleDD
The main method
Basic load sequence file
Create the options
Demonstrates how to load a table
Main entry point for basic loading
Entry point for streaming logs
Main method to start a streaming context
Basic save sequence file
Main launcher for Spark
Main method for testing
Main launcher for testing
Starts Spark as a spark
Main method
Main entry point

Get all kandi verified functions for this library.

learning-spark-examples Key Features

No Key Features are available at this moment for learning-spark-examples.

learning-spark-examples Examples and Code Snippets

No Code Snippets are available at this moment for learning-spark-examples.

Community Discussions

Trending Discussions on learning-spark-examples

mapPartitions compile error: missing parameter type

QUESTION

mapPartitions compile error: missing parameter type

Asked 2019-Jun-05 at 18:12

I'm trying to read a stream from a Kafka source containing JSON records using a pattern from the book Learning Spark:

...

ANSWER

Answered 2019-Jun-05 at 18:12

The method mapPartitions only takes a function:

Source https://stackoverflow.com/questions/48341046

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

Vulnerabilities

No vulnerabilities reported

Install learning-spark-examples

You can download it from GitHub.
You can use learning-spark-examples 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 learning-spark-examples 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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