aws-big-data-blog | repository host code samples from the AWS Big Data Blog | AWS library

by amazon-archives Java Version: Current License: Apache-2.0

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

kandi X-RAY | aws-big-data-blog Summary

aws-big-data-blog is a Java library typically used in Cloud, AWS applications. aws-big-data-blog has no vulnerabilities, it has a Permissive License and it has medium support. However aws-big-data-blog has 63 bugs and it build file is not available. You can download it from GitHub.

aws-big-data-blog

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Quality

Security

License

Reuse

Support

aws-big-data-blog has a medium active ecosystem.

It has 854 star(s) with 617 fork(s). There are 106 watchers for this library.

It had no major release in the last 6 months.

There are 15 open issues and 4 have been closed. On average issues are closed in 131 days. There are 22 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of aws-big-data-blog is current.

Quality

aws-big-data-blog has 63 bugs (13 blocker, 0 critical, 39 major, 11 minor) and 530 code smells.

Security

aws-big-data-blog has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

aws-big-data-blog code analysis shows 0 unresolved vulnerabilities.

There are 46 security hotspots that need review.

License

aws-big-data-blog is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

aws-big-data-blog releases are not available. You will need to build from source code and install.

aws-big-data-blog has no build file. You will be need to create the build yourself to build the component from source.

aws-big-data-blog saves you 6726 person hours of effort in developing the same functionality from scratch.

It has 13958 lines of code, 475 functions and 189 files.

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

Top functions reviewed by kandi - BETA

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

Checks the status of EMR job
Generate an EMR job
Checks if an additional criteria is passed in
Gets the list of active clusters
Load the triples from a Titan graph
Gets a vertex based on its key and value
Main method for testing
Configure the topology
Generate a batch of put records
Insert records into the HBase table
Entry point to upload
Demonstrates how to process a DICOM file
Command entry point
Insert a record in the HBase table
Audit a file validation event
Demonstrates how to delete all objects in a given bucket
This method runs a single user record
Convert message to model
Validates input data
Performs a DICOM
Creates a 16 - bit integer representation of this instance
Compares this message model with the given object
Performs a DynamoDB insert into DynamoDB table
Monitor EMR step
The entry point for processing
Inserts a JSON object into DynamoDB table

Get all kandi verified functions for this library.

aws-big-data-blog Key Features

No Key Features are available at this moment for aws-big-data-blog.

aws-big-data-blog Examples and Code Snippets

No Code Snippets are available at this moment for aws-big-data-blog.

Community Discussions

Trending Discussions on aws-big-data-blog

Building 3 node working Ignite cluster on AWS

QUESTION

Building 3 node working Ignite cluster on AWS

Asked 2019-Oct-16 at 17:26

did anyone successfully launch a three-node ignite cluster on AWS without any issues? if so can some one help with step by step process how to workaround.

Ignite documentation doesn't make sense and its way to little information with no screenshots, the documentation just explains docker instance running on one Ec2 but I need at least three-node ignite cluster on AWS or EMR.

I did try this blog (https://aws.amazon.com/blogs/big-data/real-time-in-memory-oltp-and-analytics-with-apache-ignite-on-aws/) and with the cloud formation json (https://github.com/aws-samples/aws-big-data-blog/blob/master/aws-blog-real-time-in-memory-oltp-and-analytics-with-apache-ignite/cloudformation/configignite.json), below is the configureIgnite.sh script which cloud formation template refers but ignite setup is failing with property syntax error in default-config.xml file

...

ANSWER

Answered 2019-Sep-30 at 16:39

Can you please shared what you have tried to make the cluster formation work? And which version of Ignite are you on?

Basically you must create Ignite configurations with matching IP Finders in Discovery SPI, check out this documentation:

https://apacheignite-mix.readme.io/docs/amazon-aws

You can also go with simple static IP Finder that contains public IP adresses of EC2 instances:

https://apacheignite.readme.io/docs/tcpip-discovery#section-static-ip-finder

To do this, open your EC2 instances listed, check for "IPv4 Public IP" field.

Another thing you should consider is Security Group:

https://docs.aws.amazon.com/en_us/vpc/latest/userguide/VPC_SecurityGroups.html#CreatingSecurityGroups

Make sure the following TCP ports are open bidirectionally (I've included defaults):

Discovery: 47500-47600 (port range from static IP finder)

Communication: 47100-47200

Thin client connection port: 10800

REST (optional): 8080

Make sure that these connections are also available via Outbound, you must be available to receive messages from other EC2 instances.

Source https://stackoverflow.com/questions/58138537

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

Vulnerabilities

No vulnerabilities reported

Install aws-big-data-blog

You can download it from GitHub.
You can use aws-big-data-blog 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 aws-big-data-blog 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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