MATLAB Interface for Apache Avro
Apache Avro™ is a data serialization system. Avro provides a compact, fast, binary data format and simple integration with dynamic languages. Avro relies heavily on schemas. When data is stored in a file, the schema is stored with it, so that files may be processed later by any program.
The MATLAB interface for Apache Avro provides for reading and writing of Apache Avro files from within MATLAB. Functionality includes:
* Read and write of local Avro files
* Access to metadata of an Avro file
Cite As
Viswanath (2021). MATLAB Interface for Apache Avro (https://github.com/mathworks-ref-arch/matlab-avro), GitHub. Retrieved .
Comments and Ratings (1)
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Software/MATLAB
Software/MATLAB/app/system/+matlabavro
Software/MATLAB/app/system/+matlabavro/@AvroDeSerializer
Software/MATLAB/app/system/+matlabavro/@AvroHelper
Software/MATLAB/app/system/+matlabavro/@AvroSerializer
Software/MATLAB/app/system/+matlabavro/@CompressionType
Software/MATLAB/app/system/+matlabavro/@DataFileReader
Software/MATLAB/app/system/+matlabavro/@DataFileWriter
Software/MATLAB/app/system/+matlabavro/@Field
Software/MATLAB/app/system/+matlabavro/@GenericData
Software/MATLAB/app/system/+matlabavro/@GenericType
Software/MATLAB/app/system/+matlabavro/@Schema
Software/MATLAB/app/system/+matlabavro/@SchemaType
Software/MATLAB/test/unit
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
Select web siteYou can also select a web site from the following list:
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Hi,
I am trying to get this to work on R2018b. I've gone through all the steps and placed the correct matlab-avro-sdk-0.2.jar full path into the javaclasspath.txt.
However when running the example
> data = randn(1e2,5); avrowrite('tmp.avro', data);
I get the following error message:
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/MATLAB/R2018b/java/jarext/slf4j/slf4j-log4j12.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/mnt/Work/main/toolbox/AVRO/Software/MATLAB/lib/jar/matlab-avro-sdk-0.2.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
It appears the two bindings cannot work together. I tried to remove the slf4j-log4j12.jar but this resulted in other problems.
Is there a way to get around this?
Thanks
Simo