minicluster | Miniclusters wraps some of the hadoop-minicluster
kandi X-RAY | minicluster Summary
kandi X-RAY | minicluster Summary
An application to run a minicluster of HDFS, Hive or Hive2 for testing purposes.
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Top functions reviewed by kandi - BETA
- Main method
- Start a Hive server
- Start Hdfs server
minicluster Key Features
minicluster Examples and Code Snippets
Community Discussions
Trending Discussions on minicluster
QUESTION
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 15:18You 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/
QUESTION
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 19:38Since 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.
QUESTION
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 13:08Turns 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.
QUESTION
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 03:22Maybe 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");
QUESTION
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 13:51The 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:
QUESTION
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?
ANSWER
Answered 2021-Jun-22 at 17:57Once 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.
QUESTION
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/
EnvironmentMy environment is on Windows 10. java -version
gives:
ANSWER
Answered 2021-Jun-18 at 18:54Ok, 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:
QUESTION
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 13:31Just 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:
QUESTION
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 inml_udf
works finepython 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 closedIt prints 88 expected rows first, then throws exceptions complaining java.lang.IllegalStateException: call already closed
.
ANSWER
Answered 2021-Apr-16 at 09:32Credits 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.
QUESTION
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 03:05Credits 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:
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Install minicluster
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 .
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