hadoop-connectors | related open-source software

 by   GoogleCloudDataproc Java Version: v2.2.14 License: Apache-2.0

kandi X-RAY | hadoop-connectors Summary

kandi X-RAY | hadoop-connectors Summary

hadoop-connectors is a Java library typically used in Big Data, Hadoop applications. hadoop-connectors has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.

Libraries and tools for interoperability between Apache Hadoop related open-source software and Google Cloud Platform.
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            kandi-support Support

              hadoop-connectors has a low active ecosystem.
              It has 267 star(s) with 232 fork(s). There are 100 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 28 open issues and 165 have been closed. On average issues are closed in 657 days. There are 22 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of hadoop-connectors is v2.2.14

            kandi-Quality Quality

              hadoop-connectors has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              hadoop-connectors 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.

            kandi-Reuse Reuse

              hadoop-connectors releases are available to install and integrate.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hadoop-connectors and discovered the below as its top functions. This is intended to give you an instant insight into hadoop-connectors implemented functionality, and help decide if they suit your requirements.
            • Reads from the given channel
            • Opens an input stream
            • Initializes the metadata
            • Cache the footer
            • Renames a file
            • Copies items from given map to destination items map
            • Get destination URI
            • Renames a directory
            • Lists information about a given path
            • Parse the input stream
            • Exports a BigQuery results into GCS
            • Initialize the HttpRequest
            • Closes the output stream
            • Export the table
            • Gets the input splits
            • Initialize the dynamic file list reader
            • Deletes the specified path
            • Log the request and remove it from the tracker
            • Creates an Hadoop Hadoop job
            • Entry point to the dataset
            • Updates the items
            • Gets item infos
            • Runs the example
            • Reads a request from a given ByteBuffer
            • Start the downloader
            • Initialize this instance with the given path and configuration
            Get all kandi verified functions for this library.

            hadoop-connectors Key Features

            No Key Features are available at this moment for hadoop-connectors.

            hadoop-connectors Examples and Code Snippets

            No Code Snippets are available at this moment for hadoop-connectors.

            Community Discussions

            QUESTION

            GCS Hadoop connector error: ClassNotFoundException: com.google.api.client.http.HttpRequestInitializer ls: No FileSystem for scheme gs
            Asked 2020-Aug-22 at 10:30

            I am trying to setup hadoop-connectors on my local Ubuntu 20.04 and running the test command hadoop fs -ls gs://my-bucket but I keep getting errors like the following:

            ...

            ANSWER

            Answered 2020-Aug-22 at 10:30

            It seems that rebooting helped to solve the issue. After a reboot the command hadoop fs -ls gs://my-bucket works and lists the content of the bucket as expected.

            Thanks to @IgorDvorzhak providing the command: hadoop classpath --glob to check if the gcs-connector-hadoop3-latest.jar can be found. I used:

            Source https://stackoverflow.com/questions/63531806

            QUESTION

            GCS Connector in a non cloud environment
            Asked 2020-Aug-18 at 06:59

            I have installed GCS connector of hadoop 3 version and added the below config to core-site.xml as described in Install.md . The intention is to migrate data from hdfs in local cluster to cloud storage.

            core-site.xml

            ...

            ANSWER

            Answered 2020-Aug-17 at 22:42

            The stack trace about Delegation Tokens are not configured is actually a red herring. If you read the GCS connector code here, you will see the connector will always try to configure delegation token support, but if you do not specify the binding through fs.gs.delegation.token.binding the configuration will fail, but the exception you see in the trace gets swallowed.

            Now as to why your command fails, I wonder if you have a typo in your configuration file:

            Source https://stackoverflow.com/questions/63452600

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

            Vulnerabilities

            No vulnerabilities reported

            Install hadoop-connectors

            You can download it from GitHub, Maven.
            You can use hadoop-connectors 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 hadoop-connectors 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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            CLONE
          • HTTPS

            https://github.com/GoogleCloudDataproc/hadoop-connectors.git

          • CLI

            gh repo clone GoogleCloudDataproc/hadoop-connectors

          • sshUrl

            git@github.com:GoogleCloudDataproc/hadoop-connectors.git

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