spark-kafka-source | Kafka stream for Spark with storage of the offsets

 by   ippontech Scala Version: Current License: MIT

kandi X-RAY | spark-kafka-source Summary

kandi X-RAY | spark-kafka-source Summary

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

Kafka stream for Spark with storage of the offsets in ZooKeeper
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              spark-kafka-source has a low active ecosystem.
              It has 58 star(s) with 33 fork(s). There are 18 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 3 have been closed. On average issues are closed in 3 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spark-kafka-source is current.

            kandi-Quality Quality

              spark-kafka-source has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              spark-kafka-source is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              spark-kafka-source releases are not available. You will need to build from source code and install.
              It has 259 lines of code, 7 functions and 6 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            spark-kafka-source Key Features

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            spark-kafka-source Examples and Code Snippets

            No Code Snippets are available at this moment for spark-kafka-source.

            Community Discussions

            QUESTION

            How can I set a maximum allowed execution time per task on Spark-YARN?
            Asked 2021-Aug-24 at 08:26

            I have a long-running PySpark Structured Streaming job, which reads a Kafka topic, does some processing and writes the result back to another Kafka topic. Our Kafka server runs on another cluster.

            It's running fine but every few hours it freezes, even though in the web UI the YARN application still has status "running". After inspecting the logs, it seems due to some transient connectivity problem with the Kafka source. Indeed, all tasks of the problematic micro-batch have completed correctly, except one which shows:

            ...

            ANSWER

            Answered 2021-Aug-24 at 08:26

            I haven't found a solution to do it with YARN, but a workaround using a monitoring loop in the Pyspark driver. The loop will check status regularly and fail the streaming app if status hasn't been updated for 10 minutes

            Source https://stackoverflow.com/questions/68762078

            QUESTION

            Infinite loop of Resetting offset and seeking for LATEST offset
            Asked 2021-Feb-25 at 08:15

            I am trying to execute a simple spark structured streaming application which for now does not do much expect for pulling from a local Kafka cluster and writing to local file system. The code looks as follows:

            ...

            ANSWER

            Answered 2021-Feb-25 at 08:15

            As it turns out, this behaviour of seeking and resetting is perfectly desirable in case that one does not read to the topic from beginning, but from latest offset. The pipeline then only reads new data that gets sent to the Kafka topic whilst it is running and since no new data was sent, the infinite loop of seeking (new data) and resetting (to latest offset).

            Bottom line, just read from beginning or send new data and the problem is solved.

            Source https://stackoverflow.com/questions/65813055

            QUESTION

            spark structured streaming accessing the Kafka with SSL raised error
            Asked 2021-Feb-06 at 01:14

            I plan to extract the data from Kafka(self-signed certificate).

            My consumer is the following

            ...

            ANSWER

            Answered 2021-Feb-06 at 01:14

            I append another option to tell the Kafka broker communication by SSL.

            Source https://stackoverflow.com/questions/66043025

            QUESTION

            kafka-consumer-groups command doesnt show LAG and CURRENT-OFFSET for spark structured streaming applications(consumers)
            Asked 2021-Jan-22 at 19:18

            I have a spark structured streaming application consuming from kafka, for this application I would like to monitor the consumer lag. I 'm using below command to check consumer lag. However I don't get the CURRENT-OFFSET and hence LAG is blank too. Is this expected ? It works for other python based consumers.

            Command

            ...

            ANSWER

            Answered 2021-Jan-22 at 19:18

            "However I don't get the CURRENT-OFFSET and hence LAG is blank too. Is this expected?"

            Yes, this is the expected behavior as Spark Structured Streaming applications are not committing any offsets back to Kafka. Therefore, the current offset and the lag of this consumer group will not be stored in Kafka and you will see exactly the result of the consumer-groups tool what you have shown.

            I have written a more comprehensive answer on Consumer Group and how Spark Structured Streaming applications manage Kafka offsets here.

            Source https://stackoverflow.com/questions/65847816

            QUESTION

            Reading from the beginning of a Kafka Topic using Structured Streaming when query started
            Asked 2020-Jul-11 at 21:34

            im using structured streaming to read from the kafka topic, using spark 2.4 and scala 2.12

            im using a checkpoint to make my query fault-tolerant.

            however everytime i start the query it jumps to the current offset without reading the exisitng data before it connected onto the topic.

            is there a config for the kafka stream im missing?

            READ:

            ...

            ANSWER

            Answered 2020-Jul-11 at 15:22

            So annonying... i mis-spelled the option startingOffset

            the correct way to spell it is:

            Source https://stackoverflow.com/questions/62850747

            QUESTION

            unable to read kafka topic data using spark
            Asked 2020-Jun-01 at 15:15

            I have data like below in one of the topics which I created named "sampleTopic"

            ...

            ANSWER

            Answered 2020-May-30 at 17:03

            spark-sql-kafka jar is missing, which is having the implementation of 'kafka' datasource.

            you can add the jar using config option or build fat jar which includes spark-sql-kafka jar. Please use relevant version of jar

            Source https://stackoverflow.com/questions/62105605

            QUESTION

            kafka kafka-consumer-groups.sh --describe returns no output for a consumer group
            Asked 2020-Apr-14 at 14:28

            kafka version 1.1

            --list can get the consumers group

            ...

            ANSWER

            Answered 2020-Apr-14 at 14:28
            kafka-consumer-groups \
              --bootstrap-server localhost:9092 \
              --describe \
              --group your_consumer_group_name
            

            Source https://stackoverflow.com/questions/61204939

            QUESTION

            Kafka Spark Structured Streaming with SASL_SSL authentication
            Asked 2020-Mar-24 at 06:29

            I have been trying to use Spark Structured Streaming API to connect to Kafka cluster with SASL_SSL. I have passed the jaas.conf file to the executors. It seems I couldn't set the values of keystore and truststore authentications.

            I tried passing the values as mentioned in thisspark link

            Also, tried passing it through the code as in this link

            Still no luck.

            Here is the log

            ...

            ANSWER

            Answered 2020-Mar-24 at 06:29

            I suspect the values for SSL is not getting picked up. As you can notice in your log the values are shown as null.

            Source https://stackoverflow.com/questions/60450182

            QUESTION

            Add additional kafka consumer settings with sparklyr
            Asked 2020-Jan-27 at 07:19

            I am trying to connect to a secured Kafka server with sparklyr. However to access it you need to specify the correct security settings (protocol, password etc). But when specified within the read_options, they aren't passed to the consumer config. Here the R-Code:

            ...

            ANSWER

            Answered 2020-Jan-26 at 23:45

            As clearly explained in the official documentation

            Kafka’s own configurations can be set via DataStreamReader.option with kafka. prefix, e.g, stream.option("kafka.bootstrap.servers", "host:port").

            You options are missing the prefix.

            Source https://stackoverflow.com/questions/59917647

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

            Vulnerabilities

            No vulnerabilities reported

            Install spark-kafka-source

            You can download it from GitHub.

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            https://github.com/ippontech/spark-kafka-source.git

          • CLI

            gh repo clone ippontech/spark-kafka-source

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            git@github.com:ippontech/spark-kafka-source.git

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