minicluster | Miniclusters wraps some of the hadoop-minicluster

 by   bolkedebruin Java Version: 1.1 License: No License

kandi X-RAY | minicluster Summary

kandi X-RAY | minicluster Summary

minicluster is a Java library typically used in Big Data applications. minicluster has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

An application to run a minicluster of HDFS, Hive or Hive2 for testing purposes.
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            kandi-support Support

              minicluster has a low active ecosystem.
              It has 1 star(s) with 4 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of minicluster is 1.1

            kandi-Quality Quality

              minicluster has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              minicluster does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              minicluster releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 158 lines of code, 3 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed minicluster and discovered the below as its top functions. This is intended to give you an instant insight into minicluster implemented functionality, and help decide if they suit your requirements.
            • Main method
            • Start a Hive server
            • Start Hdfs server
            Get all kandi verified functions for this library.

            minicluster Key Features

            No Key Features are available at this moment for minicluster.

            minicluster Examples and Code Snippets

            No Code Snippets are available at this moment for minicluster.

            Community Discussions

            QUESTION

            Apache Flink batch mode fails after a few minutes and prints the results
            Asked 2021-Dec-21 at 15:18

            I'm reading CSV file using Apache Flink and then transform records into a table from which I execute SQL query and print the results to stdout.

            Code (simplified):

            ...

            ANSWER

            Answered 2021-Dec-21 at 15:18

            You should use the FileSource rather than readFile in order to have this work correctly in batch execution mode: https://nightlies.apache.org/flink/flink-docs-stable/api/java/org/apache/flink/connector/file/src/FileSource.html

            Or, even better, you can directly use SQL to define a table acting as a source to ingest the input files, as described here: https://nightlies.apache.org/flink/flink-docs-stable/docs/connectors/table/filesystem/

            Source https://stackoverflow.com/questions/70415211

            QUESTION

            Apache Flink fails with KryoException when serializing POJO class
            Asked 2021-Nov-21 at 19:38

            I started "playing" with Apache Flink recently. I've put together a small application to start testing the framework and so on. I'm currently running into a problem when trying to serialize a usual POJO class:

            ...

            ANSWER

            Answered 2021-Nov-21 at 19:38

            Since the issue is with Kryo serialization, you can register your own custom Kryo serializers. But in my experience this hasn't worked all that well for reasons I don't completely understand (not always used). Plus Kryo serialization is going to be much slower than creating a POJO that Flink can serialize using built-in support. So add setters for every field, verify nothing gets logged about class Species missing something that qualifies it for fast serialization, and you should be all set.

            Source https://stackoverflow.com/questions/70048053

            QUESTION

            Issues with IoT Simulator (Maven Build)
            Asked 2021-Oct-25 at 13:08

            I'm trying to get this IoT simulator running: https://github.com/TrivadisPF/various-bigdata-prototypes/tree/master/streaming-sources/iot-truck-simulator/impl

            Specifically I want to be able to edit to suit my needs, change route locations, add different iot devices etc..

            I've downloaded the zip, setup my intelliJ environment and tried to build and run but I keep getting various errors the most predominant being:

            Exception in thread "main" java.lang.RuntimeException: Error running truck stream generator at com.hortonworks.labutils.SensorEventsGenerator.generateTruckEventsStream(SensorEventsGenerator.java:43) at com.hortonworks.solution.Lab.main(Lab.java:277) Caused by: java.lang.NullPointerException at java.base/java.util.Arrays.sort(Arrays.java:1249) at com.hortonworks.simulator.impl.domain.transport.route.TruckRoutesParser.parseAllRoutes(TruckRoutesParser.java:77) at com.hortonworks.simulator.impl.domain.transport.TruckConfiguration.parseRoutes(TruckConfiguration.java:62) at com.hortonworks.simulator.impl.domain.transport.TruckConfiguration.initialize(TruckConfiguration.java:38) at com.hortonworks.labutils.SensorEventsGenerator.generateTruckEventsStream(SensorEventsGenerator.java:25) ... 1 more

            This leads me to the "getResource" and "getPath" stuff in lab.java:

            ...

            ANSWER

            Answered 2021-Oct-25 at 13:08

            Turns out it was an issue with java versioning. Found a wonderful page here.

            That let me setup on the fly switching which lead to the commands in the git working absolutely fine.

            Source https://stackoverflow.com/questions/69662904

            QUESTION

            Flink Python Datastream API Kafka Producer Sink Serializaion
            Asked 2021-Sep-15 at 11:36

            Hi i'm trying to read data from one kafka topic and writing to another after making some processing. I'm able to read data and process it when i try to write it to another topic. it gives the error

            If i try to write the data as it is without doing any processing over it. Kafka producer SimpleStringSchema acccepts it. But i want to convert String to Json. play with Json and then write it to another topic in String format.

            My Code :

            ...

            ANSWER

            Answered 2021-Sep-13 at 03:22

            Maybe you can set ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG and ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG in producer_config in FlinkKafkaProducer

            props.put("key.serializer", "org.apache.kafka.common.serialization.ByteArraySerializer"); props.put("value.serializer", "org.apache.kafka.common.serialization.ByteArraySerializer");

            Source https://stackoverflow.com/questions/69156114

            QUESTION

            Apache Flink FileSink in BATCH execution mode: in-progress files are not transitioned to finished state
            Asked 2021-Jul-13 at 13:51

            What we are trying to do: we are evaluating Flink to perform batch processing using DataStream API in BATCH mode.

            Minimal application to reproduce the issue:

            ...

            ANSWER

            Answered 2021-Jul-13 at 13:51

            The source interfaces where reworked in FLIP-27 to provide support for BATCH execution mode in the DataStream API. In order to get the FileSink to properly transition PENDING files to FINISHED when running in BATCH mode, you need to use a source that implements FLIP-27, such as the FileSource (instead of readTextFile): https://ci.apache.org/projects/flink/flink-docs-release-1.13/api/java/org/apache/flink/connector/file/src/FileSource.html.

            As you discovered, that looks like this:

            Source https://stackoverflow.com/questions/68359384

            QUESTION

            Function executes succesfully in production but not in test in Flink
            Asked 2021-Jun-22 at 17:57

            I have written an integration test in Flink 1.12.3, which tests the execute method in StreamingJob class. Surprisingly, this method outputs records to sink succesfully in production environment, but it doesn't output anything in local tests. How can I solve this and enable testing?

            This may be related

            ...

            ANSWER

            Answered 2021-Jun-22 at 17:57

            Once the testStream source is exhausted, the job will terminate. So if you have any time-based windowing happening, you'll have pending results that never get emitted.

            I use a MockSource that doesn't terminate until the cancel() method is called, e.g.

            Source https://stackoverflow.com/questions/68014044

            QUESTION

            What's wrong with my Pyflink setup that Python UDFs throw py4j exceptions?
            Asked 2021-Jun-18 at 18:54

            I'm playing with the flink python datastream tutorial from the documentation: https://ci.apache.org/projects/flink/flink-docs-master/docs/dev/python/datastream_tutorial/

            Environment

            My environment is on Windows 10. java -version gives:

            ...

            ANSWER

            Answered 2021-Jun-18 at 18:54

            Ok, now after hours of troubleshooting I found out that the issue is not with my python or java setup or with pyflink.

            The issue is my company proxy. I didn't think of networking, but py4j needs networking under the hood. Should have spent more attention to this line in the stacktrace:

            Source https://stackoverflow.com/questions/68015759

            QUESTION

            Apache flink Confluent org.apache.avro.generic.GenericData$Record cannot be cast to java.lang.String
            Asked 2021-May-04 at 13:31

            I have a Apache Flink Application, where I want to filter the data by Country which gets read from topic v01 and write the filtered data into the topic v02. For testing purposes I tried to write everything in uppercase.

            My Code:

            ...

            ANSWER

            Answered 2021-May-04 at 13:31

            Just to extend the comment that has been added. So, basically if You use ConfluentRegistryAvroDeserializationSchema.forGeneric the data produced my the consumer isn't really String but rather GenericRecord. So, the moment You will try to use it in Your map that expects String it will fail, because your DataStream is not DataStream but rather DataStream.

            Now, it works if You remove the map only because You havent specified the type when defining FlinkKafkaConsumer and your FlinkKafkaProducer, so Java will just try to cast every object to required type. Your FlinkKafkaProducer is actually FlinkKafkaProducer so there will be no problem there and thus it will work as it should.

            In this particular case You don't seem to be needing Avro at all, since the data is just raw CSV.

            UPDATE: Seems that You are actually processing Avro, in this case You need to change the type of Your DataStream to DataStream and all the functions You gonna write are going to work using GenericRecord not String.

            So, You need something like:

            Source https://stackoverflow.com/questions/67382809

            QUESTION

            PyFlink: called already closed and NullPointerException
            Asked 2021-Apr-16 at 09:32

            I run into an issue where a PyFlink job may end up with 3 very different outcomes, given very slight difference in input, and luck :(

            The PyFlink job is simple. It first reads from a csv file, then process the data a bit with a Python UDF that leverages sklearn.preprocessing.LabelEncoder. I have included all necessary files for reproduction in the GitHub repo.

            To reproduce:

            • conda env create -f environment.yaml
            • conda activate pyflink-issue-call-already-closed-env
            • pytest to verify the udf defined in ml_udf works fine
            • python main.py a few times, and you will see multiple outcomes

            There are 3 possible outcomes.

            Outcome 1: success!

            It prints 90 expected rows, in a different order from outcome 2 (see below).

            Outcome 2: call already closed

            It prints 88 expected rows first, then throws exceptions complaining java.lang.IllegalStateException: call already closed.

            ...

            ANSWER

            Answered 2021-Apr-16 at 09:32

            Credits to Dian Fu from Flink community.

            Regarding outcome 2, it is because the input date (see below) has double quotes. Handling the double quotes properly will fix the issue.

            Source https://stackoverflow.com/questions/67118743

            QUESTION

            PyFlink Vectorized UDF throws NullPointerException
            Asked 2021-Apr-15 at 03:05

            I have a ML model that takes two numpy.ndarray - users and items - and returns an numpy.ndarray predictions. In normal Python code, I would do:

            ...

            ANSWER

            Answered 2021-Apr-15 at 03:05

            Credits to Dian Fu from Apache Flink community. See thread.

            For Pandas UDF, the input type for each input argument is Pandas.Series and the result type should also be a Pandas.Series. Besides, the length of the result should be the same as the inputs. Could you check if this is the case for your Pandas UDF implementation?

            Then I decide to add a pytest unit test for my UDF to verify the input and output type. Here is how:

            Source https://stackoverflow.com/questions/67092978

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

            Vulnerabilities

            No vulnerabilities reported

            Install minicluster

            You can download it from GitHub.
            You can use minicluster 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 minicluster 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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            https://github.com/bolkedebruin/minicluster.git

          • CLI

            gh repo clone bolkedebruin/minicluster

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            git@github.com:bolkedebruin/minicluster.git

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