spark-blur-connector | Apache Blur Connector to Index Kafka Messages

 by   dibbhatt Java Version: Current License: No License

kandi X-RAY | spark-blur-connector Summary

kandi X-RAY | spark-blur-connector Summary

spark-blur-connector is a Java library. spark-blur-connector has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This Spark Blur connector index Kafka Messages to Apache Blur using following Kafka Consumer. This Fault Tolerant Kafka Consumer uses Low Level Kafka API to pull messages from Kafka Topic Partition using Spark Custom Receiver. For more details please refer to : Spark Blur Connector use this Kafka Consumer to index Kafka Messages using Spark Hadoop APIs. This Project used Custom Blur Outputformat, RecordWriter and OutputComitter which has some minor modification from existing Blur Hadoop1 codebase. The Kafka DStream is repartitioned into number of partitions which is same as number of Shards of Target Blur Table. This connector uses a Custom Spark Partitioner to map keys to correct RDD partition which intern maps to same Blur Shard.
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            kandi-support Support

              spark-blur-connector has a low active ecosystem.
              It has 0 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spark-blur-connector is current.

            kandi-Quality Quality

              spark-blur-connector has 0 bugs and 0 code smells.

            kandi-Security Security

              spark-blur-connector has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              spark-blur-connector code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              spark-blur-connector does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              spark-blur-connector 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed spark-blur-connector and discovered the below as its top functions. This is intended to give you an instant insight into spark-blur-connector implemented functionality, and help decide if they suit your requirements.
            • Run Spark .
            • Initializes the Options object .
            • Overridden to return the partition value .
            • Start the Kafka .
            • Main entry point .
            Get all kandi verified functions for this library.

            spark-blur-connector Key Features

            No Key Features are available at this moment for spark-blur-connector.

            spark-blur-connector Examples and Code Snippets

            No Code Snippets are available at this moment for spark-blur-connector.

            Community Discussions

            No Community Discussions are available at this moment for spark-blur-connector.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install spark-blur-connector

            You can download it from GitHub.
            You can use spark-blur-connector 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 spark-blur-connector 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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