spark-kafka-streaming | Custom Spark Kafka consumer based on Kafka SimpleConsumer

by wgnet Scala Version: Current License: Apache-2.0

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kandi X-RAY | spark-kafka-streaming Summary

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

Custom Spark Kafka consumer based on Kafka SimpleConsumer API. Features - discover kafka metadata from zookeeper (more reliable than from brokers, does not depend on broker list changes) - reding from multiple topics - reliably handles leader election and topic reassignment - saves offsets and stream metadata in hbase (more robust than zookeeper) - supports metrics via spark metrics mechanism (jmx, graphite, etc.). Todo - abstract offset storage - time controlled offsets commit - refactor kafka message to rdd elements transformation (flatmapper method). Usage example in ./examples.

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spark-kafka-streaming has a low active ecosystem.

It has 21 star(s) with 19 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

spark-kafka-streaming has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of spark-kafka-streaming is current.

Quality

spark-kafka-streaming has 0 bugs and 7 code smells.

Security

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

spark-kafka-streaming code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spark-kafka-streaming 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.

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spark-kafka-streaming releases are not available. You will need to build from source code and install.

It has 1197 lines of code, 43 functions and 9 files.

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

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spark-kafka-streaming Key Features

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spark-kafka-streaming Examples and Code Snippets

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Community Discussions

Trending Discussions on spark-kafka-streaming

NoClassDefFoundError: org/apache/spark/sql/internal/connector/SimpleTableProvider when running in Dataproc

QUESTION

NoClassDefFoundError: org/apache/spark/sql/internal/connector/SimpleTableProvider when running in Dataproc

Asked 2020-Jul-18 at 20:32

I am able to run my program in standalone mode. But when I am trying to run in Dataproc in cluster mode, getting following error. PLs help. My build.sbt

...

ANSWER

Answered 2020-Jul-17 at 20:21

Caused by: java.lang.ClassNotFoundException: org.apache.spark.sql.internal.connector.SimpleTableProvider

org.apache.spark.sql.internal.connector.SimpleTableProvider was added in v3.0.0-rc1 so you're using spark-submit from Spark 3.0.0 (I guess).

I only now noticed that you use --master yarn and the exception is thrown at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:686).

I know nothing about Dataproc, but you should review the configuration of YARN / Dataproc and make sure they don't use Spark 3 perhaps.

Source https://stackoverflow.com/questions/62921366

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

Vulnerabilities

No vulnerabilities reported

Install spark-kafka-streaming

You can download it from GitHub.

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