spark-hive-streaming-sink | save Spark Structured Streaming DataFrame

 by   hortonworks-spark Scala Version: Current License: No License

kandi X-RAY | spark-hive-streaming-sink Summary

kandi X-RAY | spark-hive-streaming-sink Summary

spark-hive-streaming-sink is a Scala library typically used in Big Data, Spark applications. spark-hive-streaming-sink has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Spark Hive Streaming Sink ===. A sink to save Spark Structured Streaming DataFrame into Hive table. The details of Hive Streaming could be referred [here] Please be aware a valid hive-site.xml and keytab should be accessible from executor side, which means user should pass it via --files.
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              spark-hive-streaming-sink has a low active ecosystem.
              It has 21 star(s) with 8 fork(s). There are 2 watchers for this library.
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              It had no major release in the last 6 months.
              There are 4 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-hive-streaming-sink is current.

            kandi-Quality Quality

              spark-hive-streaming-sink has no bugs reported.

            kandi-Security Security

              spark-hive-streaming-sink has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              spark-hive-streaming-sink 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.

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              spark-hive-streaming-sink 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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            spark-hive-streaming-sink Key Features

            No Key Features are available at this moment for spark-hive-streaming-sink.

            spark-hive-streaming-sink Examples and Code Snippets

            No Code Snippets are available at this moment for spark-hive-streaming-sink.

            Community Discussions

            QUESTION

            Offsets committed out of order with Spark DataSource API V2 Hive Streaming Sink
            Asked 2018-Aug-14 at 09:51

            I am using sink to save Spark(2.3) Structured Streaming DataFrame into Hive table with a custom sink implementation.

            The code is as follows.

            ...

            ANSWER

            Answered 2018-Aug-14 at 09:51

            There are two ways to solve your problem:

            1. Delete/clear your checkpoint: /checkpoints/employee/checkpoint on your machine

            2. Using the other source that maintains offset, like Kafka

            The reason you meet this issue is that the socket doesn't maintain offset information.

            When you restart your job which receives input data from socket 9999, the first thing that your job does is trying to recover the state from /checkpoints/employee/checkpoint, and it finds that your current offset that has been recorded is 1. Then you input other messages to socket 9999, your job finds that the offset from socket 9999 is 0. So it throws this exception.

            Source https://stackoverflow.com/questions/50493552

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

            Vulnerabilities

            No vulnerabilities reported

            Install spark-hive-streaming-sink

            You can download it from GitHub.

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            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://github.com/hortonworks-spark/spark-hive-streaming-sink.git

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            gh repo clone hortonworks-spark/spark-hive-streaming-sink

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            git@github.com:hortonworks-spark/spark-hive-streaming-sink.git

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