log_analysis | Apache Log Streaming components from Flume to HBase

by DataDanSandler Java Version: Current License: No License

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

kandi X-RAY | log_analysis Summary

log_analysis is a Java library typically used in Big Data, Kafka, Spark, Hadoop applications. log_analysis has no bugs, it has no vulnerabilities and it has low support. However log_analysis build file is not available. You can download it from GitHub.

How To setup Hadoop To Stream Apache Logs to HBase Via Flume.

Support

Quality

Security

License

Reuse

Support

log_analysis has a low active ecosystem.

It has 14 star(s) with 12 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

log_analysis has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of log_analysis is current.

Quality

log_analysis has 0 bugs and 0 code smells.

Security

log_analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

log_analysis code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

log_analysis 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

log_analysis releases are not available. You will need to build from source code and install.

log_analysis has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

log_analysis saves you 30 person hours of effort in developing the same functionality from scratch.

It has 82 lines of code, 7 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Returns the actions for the event body
Configures the column names
Sets the event for the event
Gets the AtomicIncrementRequest that will be used to increment events

Get all kandi verified functions for this library.

log_analysis Key Features

No Key Features are available at this moment for log_analysis.

log_analysis Examples and Code Snippets

No Code Snippets are available at this moment for log_analysis.

Community Discussions

Trending Discussions on log_analysis

python flask render_template and another return value

QUESTION

python flask render_template and another return value

Asked 2020-Dec-16 at 15:24

I use Python flask for my web application. the application provide a CSV file to download. CSV file is the response in below code block. Also I need to send a variable to html template. How can I have two return value?

...

ANSWER

Answered 2020-Dec-16 at 15:24

After reading your question, I think what you are looking for is something like flash messages. The variable content you are passing in, is just text and used to display a message.

Flash messages

You'll need to set this up in your base.html or whatever template you are rendering.

Template

Source https://stackoverflow.com/questions/65314582

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

Vulnerabilities

No vulnerabilities reported

Install log_analysis

You can download it from GitHub.
You can use log_analysis 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 log_analysis 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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