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joss | Java library for OpenStack Storage , aka Swift | Storage library

 by   javaswift Java Version: v0.10.2 License: No License

 by   javaswift Java Version: v0.10.2 License: No License

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kandi X-RAY | joss Summary

joss is a Java library typically used in Storage applications. joss has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Java OpenStack Storage (JOSS) [![Build Status](https://buildhive.cloudbees.com/job/javaswift/job/joss/badge/icon)](https://buildhive.cloudbees.com/job/javaswift/job/joss/).
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • joss has a low active ecosystem.
  • It has 115 star(s) with 101 fork(s). There are 16 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 47 open issues and 75 have been closed. On average issues are closed in 260 days. There are 21 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of joss is v0.10.2
joss Support
Best in #Storage
Average in #Storage
joss Support
Best in #Storage
Average in #Storage

quality kandi Quality

  • joss has 0 bugs and 0 code smells.
joss Quality
Best in #Storage
Average in #Storage
joss Quality
Best in #Storage
Average in #Storage

securitySecurity

  • joss has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • joss code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
joss Security
Best in #Storage
Average in #Storage
joss Security
Best in #Storage
Average in #Storage

license License

  • joss does not have a standard license declared.
  • Check the repository for any license declaration and review the terms closely.
  • Without a license, all rights are reserved, and you cannot use the library in your applications.
joss License
Best in #Storage
Average in #Storage
joss License
Best in #Storage
Average in #Storage

buildReuse

  • joss 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.
  • joss saves you 7222 person hours of effort in developing the same functionality from scratch.
  • It has 14937 lines of code, 2087 functions and 425 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
joss Reuse
Best in #Storage
Average in #Storage
joss Reuse
Best in #Storage
Average in #Storage
Top functions reviewed by kandi - BETA

kandi has reviewed joss and discovered the below as its top functions. This is intended to give you an instant insight into joss implemented functionality, and help decide if they suit your requirements.

  • Lists all items in the container .
    • Extracts the endpoints from the JSON response .
      • Convert a collection of objects to directories .
        • Create Swift containers .
          • Saves the object metadata .
            • Initialize HttpClient .
              • Create a page of children from a collection of children .
                • Format a list of tenants .
                  • Uploads all of the given objects to the Storage .
                    • Runs the OJB .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      joss Key Features

                      Java library for OpenStack Storage, aka Swift

                      default

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                              <dependency>
                                  <groupId>org.javaswift</groupId>
                                  <artifactId>joss</artifactId>
                                  <version>0.10.2</version>
                              </dependency>

                      groupby and select max id from object in react native

                      copy iconCopydownload iconDownload
                      const
                          data = [{ name: "alex", subject: "english", student_id: "1" }, { name: "hales", subject: "science", student_id: "2" }, { name: "joss", subject: "english", student_id: "3" }, { name: "alexandra", subject: "science", student_id: "4" }, { name: "mark", subject: "math", student_id: "5" }],
                          result = Object.values(data.reduce((r, o) => {
                              if (!r[o.subject] || +r[o.subject].student_id < +o.student_id) {
                                  r[o.subject] = o;
                              }
                              return r;
                          }, Object.create(null)));
                      
                      console.log(result);
                      .as-console-wrapper { max-height: 100% !important; top: 0; }
                      const
                          data = [{ name: "alex", subject: "english", student_id: "1" }, { name: "hales", subject: "science", student_id: "2" }, { name: "joss", subject: "english", student_id: "3" }, { name: "alexandra", subject: "science", student_id: "4" }, { name: "mark", subject: "math", student_id: "5" }],
                          result = Object.values(data.reduce((r, o) => {
                              if (!r[o.subject] || +r[o.subject].student_id < +o.student_id) {
                                  r[o.subject] = o;
                              }
                              return r;
                          }, Object.create(null)));
                      
                      console.log(result);
                      .as-console-wrapper { max-height: 100% !important; top: 0; }
                      const data = [{ name: "alex", subject: "english", student_id: "1" }, { name: "hales", subject: "science", student_id: "2" }, { name: "joss", subject: "english", student_id: "3" }, { name: "alexandra", subject: "science", student_id: "4" }, { name: "mark", subject: "math", student_id: "5" }];
                      
                      const result = _.chain(data)
                        .groupBy('subject')
                        .values()
                        .map((group) => _.maxBy(group, 'student_id'))
                        .value();
                        
                      console.log(result);
                      .as-console-wrapper { max-height: 100% !important; top: 0; }
                      <script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js" integrity="sha512-WFN04846sdKMIP5LKNphMaWzU7YpMyCU245etK3g/2ARYbPK9Ub18eG+ljU96qKRCWh+quCY7yefSmlkQw1ANQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
                      const data = [{ name: "alex", subject: "english", student_id: "1" }, { name: "hales", subject: "science", student_id: "2" }, { name: "joss", subject: "english", student_id: "3" }, { name: "alexandra", subject: "science", student_id: "4" }, { name: "mark", subject: "math", student_id: "5" }];
                      
                      const result = _.chain(data)
                        .groupBy('subject')
                        .values()
                        .map((group) => _.maxBy(group, 'student_id'))
                        .value();
                        
                      console.log(result);
                      .as-console-wrapper { max-height: 100% !important; top: 0; }
                      <script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js" integrity="sha512-WFN04846sdKMIP5LKNphMaWzU7YpMyCU245etK3g/2ARYbPK9Ub18eG+ljU96qKRCWh+quCY7yefSmlkQw1ANQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
                      const data = [{ name: "alex", subject: "english", student_id: "1" }, { name: "hales", subject: "science", student_id: "2" }, { name: "joss", subject: "english", student_id: "3" }, { name: "alexandra", subject: "science", student_id: "4" }, { name: "mark", subject: "math", student_id: "5" }];
                      
                      const result = _.chain(data)
                        .groupBy('subject')
                        .values()
                        .map((group) => _.maxBy(group, 'student_id'))
                        .value();
                        
                      console.log(result);
                      .as-console-wrapper { max-height: 100% !important; top: 0; }
                      <script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js" integrity="sha512-WFN04846sdKMIP5LKNphMaWzU7YpMyCU245etK3g/2ARYbPK9Ub18eG+ljU96qKRCWh+quCY7yefSmlkQw1ANQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>

                      Gmail API with Go and gmail.NewService invalid memory address or nil pointer dereference

                      copy iconCopydownload iconDownload
                      client := getClient(config)
                      srv, err := gmail.New(client)
                      
                      client := getClient(config)
                      ctx := context.Background()
                      srv, err := gmail.NewService(
                          ctx,
                          option.WithHTTPClient(client),
                      )
                      
                      func sendGMail(m models.MailData) error {
                          credentials := "../gmail_credentials.json"
                          b, err := ioutil.ReadFile(credentials)
                          if err != nil {
                              return errors.New(fmt.Sprint("unable to read credentials file:", err))
                          }
                      
                          config, err := google.ConfigFromJSON(b, gmail.GmailSendScope)
                          if err != nil {
                              return errors.New(fmt.Sprint("unable to parse credentials file config:", err))
                          }
                      
                          client := getClient(config)
                          ctx := context.Background()
                          srv, err := gmail.NewService(
                              ctx,
                              option.WithHTTPClient(client),
                              option.WithScopes("https://www.googleapis.com/auth/gmail.send"),
                          )
                          if err != nil {
                              return fmt.Errorf("unable to retrieve gmail client: %s", err)
                          }
                      
                          // Create message
                          gMessage := ComposeMessage(m)
                      
                          if err := doSend(gMessage, srv); err != nil {
                              return fmt.Errorf("could not send mail: %s", err)
                          }
                          fmt.Println("Email sent")
                      
                          return nil
                      }
                      
                      client := getClient(config)
                      srv, err := gmail.New(client)
                      
                      client := getClient(config)
                      ctx := context.Background()
                      srv, err := gmail.NewService(
                          ctx,
                          option.WithHTTPClient(client),
                      )
                      
                      func sendGMail(m models.MailData) error {
                          credentials := "../gmail_credentials.json"
                          b, err := ioutil.ReadFile(credentials)
                          if err != nil {
                              return errors.New(fmt.Sprint("unable to read credentials file:", err))
                          }
                      
                          config, err := google.ConfigFromJSON(b, gmail.GmailSendScope)
                          if err != nil {
                              return errors.New(fmt.Sprint("unable to parse credentials file config:", err))
                          }
                      
                          client := getClient(config)
                          ctx := context.Background()
                          srv, err := gmail.NewService(
                              ctx,
                              option.WithHTTPClient(client),
                              option.WithScopes("https://www.googleapis.com/auth/gmail.send"),
                          )
                          if err != nil {
                              return fmt.Errorf("unable to retrieve gmail client: %s", err)
                          }
                      
                          // Create message
                          gMessage := ComposeMessage(m)
                      
                          if err := doSend(gMessage, srv); err != nil {
                              return fmt.Errorf("could not send mail: %s", err)
                          }
                          fmt.Println("Email sent")
                      
                          return nil
                      }
                      
                      client := getClient(config)
                      srv, err := gmail.New(client)
                      
                      client := getClient(config)
                      ctx := context.Background()
                      srv, err := gmail.NewService(
                          ctx,
                          option.WithHTTPClient(client),
                      )
                      
                      func sendGMail(m models.MailData) error {
                          credentials := "../gmail_credentials.json"
                          b, err := ioutil.ReadFile(credentials)
                          if err != nil {
                              return errors.New(fmt.Sprint("unable to read credentials file:", err))
                          }
                      
                          config, err := google.ConfigFromJSON(b, gmail.GmailSendScope)
                          if err != nil {
                              return errors.New(fmt.Sprint("unable to parse credentials file config:", err))
                          }
                      
                          client := getClient(config)
                          ctx := context.Background()
                          srv, err := gmail.NewService(
                              ctx,
                              option.WithHTTPClient(client),
                              option.WithScopes("https://www.googleapis.com/auth/gmail.send"),
                          )
                          if err != nil {
                              return fmt.Errorf("unable to retrieve gmail client: %s", err)
                          }
                      
                          // Create message
                          gMessage := ComposeMessage(m)
                      
                          if err := doSend(gMessage, srv); err != nil {
                              return fmt.Errorf("could not send mail: %s", err)
                          }
                          fmt.Println("Email sent")
                      
                          return nil
                      }
                      

                      JSON format leads to .map is not a function

                      copy iconCopydownload iconDownload
                      export default function Home({ posts }) {
                        return (
                          <div>
                            {posts &&
                              posts["data"].map((post) => (
                                <div key={post.id}>
                                  <h2>{post.attributes.title}</h2>
                                </div>
                              ))}
                          </div>
                        );
                      }
                      

                      How do I find the highest float from a list?

                      copy iconCopydownload iconDownload
                      >>> l = [1, 2, 4, 3]
                      >>> max(l)
                      4
                      
                      ratings = [x[2] for x in movieDirectorRatingList]
                      
                      max(ratings)
                      
                      max(movieDirectorRatingList, key=lambda x: x[2])
                      
                      >>> l = [1, 2, 4, 3]
                      >>> max(l)
                      4
                      
                      ratings = [x[2] for x in movieDirectorRatingList]
                      
                      max(ratings)
                      
                      max(movieDirectorRatingList, key=lambda x: x[2])
                      
                      >>> l = [1, 2, 4, 3]
                      >>> max(l)
                      4
                      
                      ratings = [x[2] for x in movieDirectorRatingList]
                      
                      max(ratings)
                      
                      max(movieDirectorRatingList, key=lambda x: x[2])
                      
                      >>> l = [1, 2, 4, 3]
                      >>> max(l)
                      4
                      
                      ratings = [x[2] for x in movieDirectorRatingList]
                      
                      max(ratings)
                      
                      max(movieDirectorRatingList, key=lambda x: x[2])
                      

                      How do I check if there is a variable inside a 2d list?

                      copy iconCopydownload iconDownload
                      for movie in movieDirectorRatingList:
                          title, director, rating = movie # let's unpack these here
                          if movieSelection in movie:
                              print(f"{movieSelection} directed by {director} {rating}" )
                              break # found the movie
                      else:
                          print("Movie selection not found")
                          
                      
                      mdrl = [
                          ["Munich: The Edge of War", "Christian Schwochow", "4.1"],
                          ["Avengers:Endgame", "Anthony Russo, Joe Russo and Joss Whedon", "4.8"],
                          ["Tombstone", "Cosmatos and Kevin Jarre", "4.1"],
                          ["Waterloo", "George P. and Sergei Bondarchuk", "4.0"],
                          ["Iron Man", "Jon Favreau", "4.9"]
                      ]
                      
                      movieChoice = input("Which movie would you like to get data from?: ")
                      
                      for i in range(len(mdrl)):
                          if mdrl[i][0] == movieChoice:
                              print(mdrl[i][0], "Was directed by", mdrl[i][1], "and had a rating of ", mdrl[i][2])
                      

                      append PySpark dataframes (vertically) as in pandas.append()

                      copy iconCopydownload iconDownload
                      director_name_df = df.select(['id', 'director_name']).('director_name', 'key')
                      movie_title_df = df.select(['id', 'movie_title']).withColumnRenamed('movie_title', 'key')
                      df = director_name_df .union(movie_title_df)
                      
                      from pyspark.sql.functions import col
                      movie_info = spark.createDataFrame(
                          [
                           [1, 'James Cameron', 'Avatar'],
                           [2, 'James Cameron', 'Titanic'],
                           [3, "director_man", 'movie_2']
                          ]
                      ).toDF(*['id', 'director', 'movie'])
                      
                      df = (
                          movie_info
                          .selectExpr('id', 'explode(array(director, movie))')
                          .withColumnRenamed('col', 'key')
                      )
                      
                      df.show()
                      
                      from pyspark.sql.functions import col
                      
                      # Create data
                      movie_info = spark.createDataFrame(
                          [
                           [1, 'James Cameron', 'Avatar'],
                           [2, 'James Cameron', 'Titanic'],
                           [3, "director_man", 'movie_2']
                          ]
                      ).toDF(*['id', 'director', 'movie'])
                      
                      # Only select id and director and change col to key
                      directors = (
                          movie_info
                          .select(
                               'id',
                               col('director').alias('key')
                          )
                      )
                      
                      # Only select id and movie and switch name to key
                      movies = (
                          movie_info
                          .select(
                              'id',
                              col('movie').alias('key')
                          )
                      )
                      
                      
                      # Union together
                      unpivot = (
                          directors
                          .unionAll(movies)
                      )
                      
                      unpivot.show()
                      
                      +---+-------------+
                      | id|          key|
                      +---+-------------+
                      |  1|James Cameron|
                      |  2|James Cameron|
                      |  3| director_man|
                      |  1|       Avatar|
                      |  2|      Titanic|
                      |  3|      movie_2|
                      +---+-------------+
                      
                      from pyspark.sql.functions import col
                      movie_info = spark.createDataFrame(
                          [
                           [1, 'James Cameron', 'Avatar'],
                           [2, 'James Cameron', 'Titanic'],
                           [3, "director_man", 'movie_2']
                          ]
                      ).toDF(*['id', 'director', 'movie'])
                      
                      df = (
                          movie_info
                          .selectExpr('id', 'explode(array(director, movie))')
                          .withColumnRenamed('col', 'key')
                      )
                      
                      df.show()
                      
                      from pyspark.sql.functions import col
                      
                      # Create data
                      movie_info = spark.createDataFrame(
                          [
                           [1, 'James Cameron', 'Avatar'],
                           [2, 'James Cameron', 'Titanic'],
                           [3, "director_man", 'movie_2']
                          ]
                      ).toDF(*['id', 'director', 'movie'])
                      
                      # Only select id and director and change col to key
                      directors = (
                          movie_info
                          .select(
                               'id',
                               col('director').alias('key')
                          )
                      )
                      
                      # Only select id and movie and switch name to key
                      movies = (
                          movie_info
                          .select(
                              'id',
                              col('movie').alias('key')
                          )
                      )
                      
                      
                      # Union together
                      unpivot = (
                          directors
                          .unionAll(movies)
                      )
                      
                      unpivot.show()
                      
                      +---+-------------+
                      | id|          key|
                      +---+-------------+
                      |  1|James Cameron|
                      |  2|James Cameron|
                      |  3| director_man|
                      |  1|       Avatar|
                      |  2|      Titanic|
                      |  3|      movie_2|
                      +---+-------------+
                      
                      from pyspark.sql.functions import col
                      movie_info = spark.createDataFrame(
                          [
                           [1, 'James Cameron', 'Avatar'],
                           [2, 'James Cameron', 'Titanic'],
                           [3, "director_man", 'movie_2']
                          ]
                      ).toDF(*['id', 'director', 'movie'])
                      
                      df = (
                          movie_info
                          .selectExpr('id', 'explode(array(director, movie))')
                          .withColumnRenamed('col', 'key')
                      )
                      
                      df.show()
                      
                      from pyspark.sql.functions import col
                      
                      # Create data
                      movie_info = spark.createDataFrame(
                          [
                           [1, 'James Cameron', 'Avatar'],
                           [2, 'James Cameron', 'Titanic'],
                           [3, "director_man", 'movie_2']
                          ]
                      ).toDF(*['id', 'director', 'movie'])
                      
                      # Only select id and director and change col to key
                      directors = (
                          movie_info
                          .select(
                               'id',
                               col('director').alias('key')
                          )
                      )
                      
                      # Only select id and movie and switch name to key
                      movies = (
                          movie_info
                          .select(
                              'id',
                              col('movie').alias('key')
                          )
                      )
                      
                      
                      # Union together
                      unpivot = (
                          directors
                          .unionAll(movies)
                      )
                      
                      unpivot.show()
                      
                      +---+-------------+
                      | id|          key|
                      +---+-------------+
                      |  1|James Cameron|
                      |  2|James Cameron|
                      |  3| director_man|
                      |  1|       Avatar|
                      |  2|      Titanic|
                      |  3|      movie_2|
                      +---+-------------+
                      
                      df.show()
                      #+---+----+----+
                      #| id|name|dept|
                      #+---+----+----+
                      #|  1|   a|   b|
                      #|  2|   c|   d|
                      #+---+----+----+
                      
                      df.selectExpr("stack(2,string(id),name,string(id),dept)as (id,key)").show()
                      #+---+---+
                      #| id|key|
                      #+---+---+
                      #|  1|  a|
                      #|  1|  b|
                      #|  2|  c|
                      #|  2|  d|
                      #+---+---+
                      

                      How apply function to all columns with specifis data types

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                      col=df.columns[df.dtypes=='object']
                      
                      df[col]=df[col].applymap(strip_accents)
                      
                          Name    City    Age
                      0   Tom     Ciz     34
                      1   Nick    Joss    65
                      2   Juli    Almo    24
                      
                      col=df.columns[df.dtypes=='object']
                      
                      df[col]=df[col].applymap(strip_accents)
                      
                          Name    City    Age
                      0   Tom     Ciz     34
                      1   Nick    Joss    65
                      2   Juli    Almo    24
                      
                      col=df.columns[df.dtypes=='object']
                      
                      df[col]=df[col].applymap(strip_accents)
                      
                          Name    City    Age
                      0   Tom     Ciz     34
                      1   Nick    Joss    65
                      2   Juli    Almo    24
                      

                      Unable to use forEach in Flutter Dart for array with just Strings

                      copy iconCopydownload iconDownload
                          try {
                            final response = await http.get(url);
                            final extractedData = json.decode(response.body) as List;
                            if(extractedData == null){
                              return;
                            }
                            final List<Pelicula> loadedPeliculas = [];
                            extractedData.forEach((data) {
                              loadedPeliculas.add(Pelicula(
                                imdbID: data['imdbID'],
                                imdbRating: data['imdbRating'],
                                metaScore: data['Metascore'],
                                plot: data['Plot'],
                                poster: data['Poster'],
                                title: data['Title'],
                                type: data['Type'],
                                year: data['Year'],
                              ));
                            });     
                      
                      try {
                            final response = await http.get(url);
                            final extractedData = json.decode(response.body);
                            if (extractedData == null) {
                              return;
                            }
                            final List<Pelicula> loadedPeliculas = [];
                            final size = extractedData.length;
                            for (var i = 0; i < size; i++) {
                              loadedPeliculas.add(Pelicula(
                                imdbID: extractedData['Search'][i]['imdbID'],
                                poster: extractedData['Search'][i]['Poster'],
                                title: extractedData['Search'][i]['Title'],
                                type: extractedData['Search'][i]['Type'],
                                year: extractedData['Search'][i]['Year'],
                              ));
                            }
                      

                      Sbt failed to run on visual studio code

                      copy iconCopydownload iconDownload
                      sbt.librarymanagement.ResolveException: Error downloading com.lowagie:itext:2.1.7.js6
                      
                      resolvers += "itext" at "https://mvnrepository.com/artifact/com.lowagie/itext"
                      
                      sbt.librarymanagement.ResolveException: Error downloading com.lowagie:itext:2.1.7.js6
                      
                      resolvers += "itext" at "https://mvnrepository.com/artifact/com.lowagie/itext"
                      

                      Getting wrong answer when trying to output a an actors roles

                      copy iconCopydownload iconDownload
                      SELECT m.name,
                             r.played_as,
                             r.job
                      FROM movie m
                      JOIN (
                        SELECT movie_id, person_id, played_as, NULL as job
                        FROM casts
                        UNION ALL 
                        SELECT movie_id, person_id, NULL, job
                        FROM crew
                      ) r ON r.movie_id = m.id
                      JOIN person p ON p.id = r.person_id
                      LEFT JOIN famous_level f ON f.movie_id = m.id AND f.person_id = p.id
                      WHERE p.id = 1
                      ORDER BY COALESCE(f.level, 99)
                      
                      name                played_as       job
                      Harry Potter movie  (null)          Director
                      Harry Potter movie  (null)          Writer
                      Harry Potter movie  Harry Potter    (null)
                      The Avengers        (null)          Writer
                      
                      SELECT m.name,
                             r.played_as,
                             r.job
                      FROM movie m
                      JOIN (
                        SELECT movie_id, person_id, played_as, NULL as job
                        FROM casts
                        UNION ALL 
                        SELECT movie_id, person_id, NULL, job
                        FROM crew
                      ) r ON r.movie_id = m.id
                      JOIN person p ON p.id = r.person_id
                      LEFT JOIN famous_level f ON f.movie_id = m.id AND f.person_id = p.id
                      WHERE p.id = 1
                      ORDER BY COALESCE(f.level, 99)
                      
                      name                played_as       job
                      Harry Potter movie  (null)          Director
                      Harry Potter movie  (null)          Writer
                      Harry Potter movie  Harry Potter    (null)
                      The Avengers        (null)          Writer
                      

                      Community Discussions

                      Trending Discussions on joss
                      • groupby and select max id from object in react native
                      • Advantages of using AES Encryption to encrypt and decrypt password vs storing password in JBOSS vault
                      • Gmail API with Go and gmail.NewService invalid memory address or nil pointer dereference
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                      Trending Discussions on joss

                      QUESTION

                      groupby and select max id from object in react native

                      Asked 2022-Apr-02 at 07:44

                      How to groupby and select max id from object in react native. that was just a dummy data to explain you that how my object look like

                      [
                       {"name": "alex", "subject": "english" "student_id": "1"},
                       {"name": "hales", "subject": "science" "student_id": "2"},
                       {"name": "joss", "subject": "english" "student_id": "3"},
                       {"name": "alexandra", "subject": "science" "student_id": "4"},
                       {"name": "mark", "subject": "math" "student_id": "5"},
                      ]
                      

                      First of all I want to group by subject and then select the student with max id so my output should look like that

                      [
                       {"name": "joss", "subject": "english" "student_id": "3"},
                       {"name": "alexandra", "subject": "science" "student_id": "4"},
                       {"name": "mark", "subject": "math" "student_id": "5"},
                      ]
                      

                      What I have tried So far is that

                      const result = myobject.reduce(function (r, a) {
                            r[a.case_id] = r[a.case_id] || [];
                            r[a.case_id].push(a);
                            return r;
                          }, Object.create(null));
                      

                      with above code I can group by but not able to get the max id so how could I achieve that?

                      ANSWER

                      Answered 2022-Mar-31 at 18:52

                      You could group by subject and replace the value if student_id is greater.

                      As result take the values from the object.

                      const
                          data = [{ name: "alex", subject: "english", student_id: "1" }, { name: "hales", subject: "science", student_id: "2" }, { name: "joss", subject: "english", student_id: "3" }, { name: "alexandra", subject: "science", student_id: "4" }, { name: "mark", subject: "math", student_id: "5" }],
                          result = Object.values(data.reduce((r, o) => {
                              if (!r[o.subject] || +r[o.subject].student_id < +o.student_id) {
                                  r[o.subject] = o;
                              }
                              return r;
                          }, Object.create(null)));
                      
                      console.log(result);
                      .as-console-wrapper { max-height: 100% !important; top: 0; }

                      Source https://stackoverflow.com/questions/71697614

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