pureapp | small library | Functional Programming library

 by   battermann Scala Version: Current License: MIT

kandi X-RAY | pureapp Summary

kandi X-RAY | pureapp Summary

pureapp is a Scala library typically used in Programming Style, Functional Programming applications. pureapp has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The architecture for PureApp applications is mainly inspired by the Elm Architecture. An Idiomatic PureApp program is completely pure and referentially transparent. It can be either implemented as the main application or it can be composed of other PureApp programs (see below).
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            kandi-support Support

              pureapp has a low active ecosystem.
              It has 39 star(s) with 2 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              pureapp has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pureapp is current.

            kandi-Quality Quality

              pureapp has no bugs reported.

            kandi-Security Security

              pureapp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              pureapp 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

              pureapp 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.

            Top functions reviewed by kandi - BETA

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of pureapp
            Get all kandi verified functions for this library.

            pureapp Key Features

            No Key Features are available at this moment for pureapp.

            pureapp Examples and Code Snippets

            PureApp,composability
            Scaladot img1Lines of Code : 56dot img1License : Permissive (MIT)
            copy iconCopy
            import cats.implicits._
            // import cats.implicits._
            
            val p1 = Program.simple(
            	  "Hello PureApp 1!",
            	  (_: Unit, model: String) => model,
            	  (_: String) => IO.unit,
            	  (_: Unit) => true
              ).map(List(_)).build()
            // p1: cats.effect.IO[List[Str  
            PureApp,example
            Scaladot img2Lines of Code : 52dot img2License : Permissive (MIT)
            copy iconCopy
            import com.github.battermann.pureapp._
            // import com.github.battermann.pureapp._
            
            import com.github.battermann.pureapp.interpreters.Terminal._
            // import com.github.battermann.pureapp.interpreters.Terminal._
            
            import cats.effect.IO
            // import cats.effec  
            PureApp,minimal working skeleton
            Scaladot img3Lines of Code : 27dot img3License : Permissive (MIT)
            copy iconCopy
            object Main extends StandardPureApp[IO] {
            
              // MODEL
            
              type Model = String
            
              type Msg = Unit
            
              type Cmd = Unit
            
              def init: (Model, Cmd) = ("Hello PureApp!", ())
            
              def quit(msg: Msg): Boolean = true
            
              // UPDATE
            
              def update(msg: Msg, model: Mo  

            Community Discussions

            QUESTION

            Accessing TableRow columns in BigQuery Apache Beam
            Asked 2018-Apr-18 at 09:20

            I am trying to

            1.Read JSON events from Cloud Pub/Sub

            2.Load the events from Cloud Pub/Sub to BigQuery every 15 minutes using file loads to save cost on streaming inserts.

            3.The destination will differ based on "user_id" and "campaign_id" field in the JSON event, "user_id" will be dataset name and "campaign_id" will be the table name. The partition name comes from the event timestamp.

            4.The schema for all tables stays same.

            I am new to Java and Beam. I think my code mostly does what I am trying to do and I just a need little help here.

            But I unable to access "campaign_id" and "user_id" field in the JSON message. So, my events are not routing to the correct table.

            ...

            ANSWER

            Answered 2018-Apr-18 at 00:58

            How about: String tableName = element.getValue().get("campaign_id").toString() and likewise for the dataset.

            Besides, for inserting into time-partitioned tables, I strongly recommend using BigQuery's Column-Based Partitioning, instead of using a partition decorator in the table name. Please see "Loading historical data into time-partitioned BigQuery tables" in the javadoc - you'll need a timestamp column. (note that the javadoc has a typo: "time" vs "timestamp")

            Source https://stackoverflow.com/questions/49883503

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

            Vulnerabilities

            No vulnerabilities reported

            Install pureapp

            You can download it from GitHub.

            Support

            I'm happy for any kind of contributions whatsoever, be it comments, issues, or pull requests.
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            CLONE
          • HTTPS

            https://github.com/battermann/pureapp.git

          • CLI

            gh repo clone battermann/pureapp

          • sshUrl

            git@github.com:battermann/pureapp.git

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