avro-scala-macro-annotations | Compile-time tools for working with Avros in Scala | Computer Vision library

 by   julianpeeters Scala Version: Current License: Apache-2.0

kandi X-RAY | avro-scala-macro-annotations Summary

kandi X-RAY | avro-scala-macro-annotations Summary

avro-scala-macro-annotations is a Scala library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. avro-scala-macro-annotations has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Compile-time tools for working with Avros in Scala
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            kandi-support Support

              avro-scala-macro-annotations has a low active ecosystem.
              It has 57 star(s) with 16 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 7 open issues and 25 have been closed. On average issues are closed in 66 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of avro-scala-macro-annotations is current.

            kandi-Quality Quality

              avro-scala-macro-annotations has no bugs reported.

            kandi-Security Security

              avro-scala-macro-annotations has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              avro-scala-macro-annotations 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.

            kandi-Reuse Reuse

              avro-scala-macro-annotations releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            avro-scala-macro-annotations Key Features

            No Key Features are available at this moment for avro-scala-macro-annotations.

            avro-scala-macro-annotations Examples and Code Snippets

            1) Avro-Type-Provider
            Scaladot img1Lines of Code : 17dot img1License : Permissive (Apache-2.0)
            copy iconCopy
                    {"type":"record","name":"MyRecord","namespace":"tutorial","doc":"Auto-generated schema","fields":[{"name":"x","type":{"type":"record","name":"Rec","doc":"Auto-generated schema","fields":[{"name":"i","type":"int","doc":"Auto-Generated Field"}]  
            2) Avro-Record:
            Scaladot img2Lines of Code : 16dot img2License : Permissive (Apache-2.0)
            copy iconCopy
                    package sample
            
                    @AvroRecord
                    case class A(var i: Int)
            
                    @AvroRecord
                    case class B(var a: Option[A] = None)
            
                    {"type":"record","name":"B","namespace":"sample","doc":"Auto-generated schema","fields":[{"name":  
            Herein lie assorted macro annotations for working with Avro in Scala:
            Scaladot img3Lines of Code : 9dot img3License : Permissive (Apache-2.0)
            copy iconCopy
                libraryDependencies += "com.julianpeeters" % "avro-scala-macro-annotations_2.11" % "0.11.1"
            
                addCompilerPlugin("org.scalamacros" % "paradise" % "2.1.0" cross CrossVersion.full)
            
                    package sample
            
                    import com.julianpeeters.avro.an  

            Community Discussions

            QUESTION

            How to ensure constant Avro schema generation and avoid the 'Too many schema objects created for x' exception?
            Asked 2019-Jan-27 at 11:50

            I am experiencing a reproducible error while producing Avro messages with reactive kafka and avro4s. Once the identityMapCapacity of the client (CachedSchemaRegistryClient) is reached, serialization fails with

            ...

            ANSWER

            Answered 2017-Nov-20 at 07:35

            edit 2017.11.20

            The issue in my case was that each instance of GenericRecord carrying my message has been serialized by a different instance of RecordFormat, containing a different instance of the Schema. The implicit resolution here generated a new instance each time.

            def toAvro[A](a: A)(implicit recordFormat: RecordFormat[A]): GenericRecord = recordFormat.to(a)

            The solution was to pin the RecordFormat instance to a val and reuse it explicitly. Many thanks to https://github.com/heliocentrist for explaining the details.

            original response:

            After waiting for a while (also no answer for the github issue) I had to implement my own SchemaRegistryClient. Over 90% is copied from the original CachedSchemaRegistryClient, just translated into scala. Using a scala mutable.Map fixed the memory leak. I have not performed any comprehensive tests, so use at your own risk.

            Source https://stackoverflow.com/questions/45963959

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

            Vulnerabilities

            No vulnerabilities reported

            Install avro-scala-macro-annotations

            You can download it from GitHub.

            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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            git@github.com:julianpeeters/avro-scala-macro-annotations.git

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