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log_analysis | Apache Log Streaming components from Flume to HBase

 by   DataDanSandler Java Version: Current License: No License

 by   DataDanSandler Java Version: Current License: No License

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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
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support 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 12 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.
log_analysis Support
Best in #Java
Average in #Java
log_analysis Support
Best in #Java
Average in #Java

quality kandi Quality

  • log_analysis has 0 bugs and 0 code smells.
log_analysis Quality
Best in #Java
Average in #Java
log_analysis Quality
Best in #Java
Average in #Java

securitySecurity

  • 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.
log_analysis Security
Best in #Java
Average in #Java
log_analysis Security
Best in #Java
Average in #Java

license 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.
log_analysis License
Best in #Java
Average in #Java
log_analysis License
Best in #Java
Average in #Java

buildReuse

  • 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.
log_analysis Reuse
Best in #Java
Average in #Java
log_analysis Reuse
Best in #Java
Average in #Java
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log_analysis Key Features

Add : /usr/local/lib

Save

Then run "ldconfig"

default

copy iconCopydownload iconDownload
1) **Confirm hbase-site.xml configuration**
	1) vi /etc/hbase/conf/hbase-site.xml

	2) Confirm rootdir has proper hostname

	3) Repeat for

		a. Core-site.xml

		b. Hive-site.xml

2) **Make sure HBase services started**

   a) service hbase-master stop/start

   b) service hbase-regionserver stop/start

3) **Create HBase table**

   a) sudo -u hdfs hbase shell

         For help "help<enter>"

	 Ex: help 'create'

   b) create 'apache_access_log', {NAME => 'common'}, {NAME => 'http'}, {NAME => 'misc'}, {NAME => 'geoip_common'}, {NAME => 'geoip_country'}, {NAME => 'geoip_city'}

Step 1a: Download Geo IP MaxMind Libraries For Apache

python flask render_template and another return value

copy iconCopydownload iconDownload
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="utf-8">
    <link href="{{ url_for('static', filename='css/main.css')}}" rel="stylesheet">
</head>

<body>

<main>
{% with messages = get_flashed_messages(with_categories=true) %}
    {% if messages %}
        {% for category, message in messages %}
        <div class="alert alert-{{ category }}">
            {{ message }}
        </div>
        {% endfor %}
    {% endif %}
{% endwith %}

{% block content %}{% endblock %}

</main>
</body>

</html>

from flask import render_template, url_for, flash, redirect

@application.route("/log_analysis", methods=['POST'])
def get_response():
    output=f'The result of your query :  {i-1} . The full report is downloaded automatically.'
    cw.writerows(csv_rows)
    response = make_response(si.getvalue())
    response.headers["Content-Disposition"] = f"attachment; filename={return_file_name}"
    response.headers["Content-type"] = "text/csv"
    flash(output,'success')
    
    return response, 200
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="utf-8">
    <link href="{{ url_for('static', filename='css/main.css')}}" rel="stylesheet">
</head>

<body>

<main>
{% with messages = get_flashed_messages(with_categories=true) %}
    {% if messages %}
        {% for category, message in messages %}
        <div class="alert alert-{{ category }}">
            {{ message }}
        </div>
        {% endfor %}
    {% endif %}
{% endwith %}

{% block content %}{% endblock %}

</main>
</body>

</html>

from flask import render_template, url_for, flash, redirect

@application.route("/log_analysis", methods=['POST'])
def get_response():
    output=f'The result of your query :  {i-1} . The full report is downloaded automatically.'
    cw.writerows(csv_rows)
    response = make_response(si.getvalue())
    response.headers["Content-Disposition"] = f"attachment; filename={return_file_name}"
    response.headers["Content-type"] = "text/csv"
    flash(output,'success')
    
    return response, 200

Community Discussions

Trending Discussions on log_analysis
  • python flask render_template and another return value
Trending Discussions on log_analysis

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?

@application.route("/log_analysis", methods=['POST'])
def get_response():
    output='The result of your query :  '+str(i-1)+' . The full report is downloaded automatically.'
    cw.writerows(csv_rows)
    response = make_response(si.getvalue())
    response.headers["Content-Disposition"] = f"attachment; filename={return_file_name}"
    response.headers["Content-type"] = "text/csv"
    
    return render_template('base.html',output=output)
    return response, 200

The output will be shown in the html but the response in the second return doesn't work.

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
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="utf-8">
    <link href="{{ url_for('static', filename='css/main.css')}}" rel="stylesheet">
</head>

<body>

<main>
{% with messages = get_flashed_messages(with_categories=true) %}
    {% if messages %}
        {% for category, message in messages %}
        <div class="alert alert-{{ category }}">
            {{ message }}
        </div>
        {% endfor %}
    {% endif %}
{% endwith %}

{% block content %}{% endblock %}

</main>
</body>

</html>


from flask import render_template, url_for, flash, redirect

@application.route("/log_analysis", methods=['POST'])
def get_response():
    output=f'The result of your query :  {i-1} . The full report is downloaded automatically.'
    cw.writerows(csv_rows)
    response = make_response(si.getvalue())
    response.headers["Content-Disposition"] = f"attachment; filename={return_file_name}"
    response.headers["Content-type"] = "text/csv"
    flash(output,'success')
    
    return response, 200

You can also try and do something like alerts in html 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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