hadoop-lzo | Refactored version

 by   twitter Shell Version: Current License: GPL-3.0

kandi X-RAY | hadoop-lzo Summary

kandi X-RAY | hadoop-lzo Summary

hadoop-lzo is a Shell library typically used in Big Data, Hadoop applications. hadoop-lzo has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Refactored version of code.google.com/hadoop-gpl-compression for hadoop 0.20
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            kandi-support Support

              hadoop-lzo has a low active ecosystem.
              It has 533 star(s) with 320 fork(s). There are 146 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 23 open issues and 48 have been closed. On average issues are closed in 337 days. There are 17 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of hadoop-lzo is current.

            kandi-Quality Quality

              hadoop-lzo has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              hadoop-lzo is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              hadoop-lzo releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            hadoop-lzo Key Features

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

            hadoop-lzo Examples and Code Snippets

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

            Community Discussions

            QUESTION

            shell script having ssh command inside docker container fails with - ssh: not found
            Asked 2020-Aug-12 at 13:24

            I have a spring boot java application running on a docker container, and it tries to run a shell script. The shell script has a ssh command and I get the following error while running it

            ...

            ANSWER

            Answered 2020-Aug-12 at 13:20

            SSH might not be installed.

            My example here assumes an Ubuntu/Linux image derived from since you did not specify the Dockfile contents at the time.

            If your container can launch successfully (ignore the fact that your app is failing), you can just simply run ssh on the command-line to see (it will give you something similar to command not found)

            To run commands inside Docker container: Since an Ubuntu image has bash installed, you can run like this:

            docker exec -ti containername bash

            Inside Docker container: (One of my containers where there is no SSH installed)

            Source https://stackoverflow.com/questions/63375385

            QUESTION

            Spark History Server very slow when driver running on master node
            Asked 2020-Jul-06 at 21:21

            I'm using Spark 2.4.5 running on AWS EMR 5.30.0 with r5.4xlarge instances (16 vCore, 128 GiB memory, EBS only storage, EBS Storage:256 GiB) : 1 master, 1 core and 30 task.

            I launched Spark Thrift Server on the master node and it's the only job that is running on the cluster

            ...

            ANSWER

            Answered 2020-Jul-06 at 21:21

            The problem was having only 1 core instance as the logs were saved in HDFS so this instance became a bottleneck. I added another core instance and it's going much better now.

            Another solution could be to save the logs to S3/S3A instead of HDFS, changing those parameters in spark-defaults.conf (make sure they are changed in the UI config too) but it might require adding some JAR files to work.

            Source https://stackoverflow.com/questions/62521705

            QUESTION

            java.lang.ClassNotFoundException: com.mysql.jdbc.Driver in Jupyter Notebook on Amazon EMR
            Asked 2020-Apr-23 at 14:16

            While trying to connect to MySql database in RDS from EMR Jupyter Notebook, I have found the following error :

            Code Used:

            ...

            ANSWER

            Answered 2020-Apr-23 at 14:16

            As it's unable to find driver class when you are running it from Jupyter Notebook, to avoid that you can try by copying mysql-connector-java-5.1.47.jar to the $SPARK_HOME/jars folder. It will resolve your driver issue as per my personal experience.

            Source https://stackoverflow.com/questions/61387861

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

            Vulnerabilities

            No vulnerabilities reported

            Install hadoop-lzo

            You can download it from GitHub.

            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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          • HTTPS

            https://github.com/twitter/hadoop-lzo.git

          • CLI

            gh repo clone twitter/hadoop-lzo

          • sshUrl

            git@github.com:twitter/hadoop-lzo.git

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