lal | 🔥 Golang audio/video live streaming library | Video Utils library

 by   q191201771 Go Version: v0.33.0 License: MIT

kandi X-RAY | lal Summary

lal is a Go library typically used in Video, Video Utils applications. lal has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.
LAL is an audio/video live streaming broadcast server written in Go. It's sort of like nginx-rtmp-module, but easier to use and with more features, e.g RTMP, RTSP(RTP/RTCP), HLS, HTTP[S]/WebSocket[s]-FLV/TS, H264/H265/AAC, relay, cluster, record, HTTP API/Notify, GOP cache. And more than a server, act as package and client.
    Support
      Quality
        Security
          License
            Reuse
            Support
              Quality
                Security
                  License
                    Reuse

                      kandi-support Support

                        summary
                        lal has a medium active ecosystem.
                        summary
                        It has 1974 star(s) with 332 fork(s). There are 59 watchers for this library.
                        summary
                        There were 3 major release(s) in the last 6 months.
                        summary
                        There are 26 open issues and 147 have been closed. On average issues are closed in 151 days. There are no pull requests.
                        summary
                        It has a neutral sentiment in the developer community.
                        summary
                        The latest version of lal is v0.33.0
                        lal Support
                          Best in #Video Utils
                            Average in #Video Utils
                            lal Support
                              Best in #Video Utils
                                Average in #Video Utils

                                  kandi-Quality Quality

                                    summary
                                    lal has 0 bugs and 0 code smells.
                                    lal Quality
                                      Best in #Video Utils
                                        Average in #Video Utils
                                        lal Quality
                                          Best in #Video Utils
                                            Average in #Video Utils

                                              kandi-Security Security

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

                                                          kandi-License License

                                                            summary
                                                            lal is licensed under the MIT License. This license is Permissive.
                                                            summary
                                                            Permissive licenses have the least restrictions, and you can use them in most projects.
                                                            lal License
                                                              Best in #Video Utils
                                                                Average in #Video Utils
                                                                lal License
                                                                  Best in #Video Utils
                                                                    Average in #Video Utils

                                                                      kandi-Reuse Reuse

                                                                        summary
                                                                        lal releases are available to install and integrate.
                                                                        summary
                                                                        Installation instructions, examples and code snippets are available.
                                                                        lal Reuse
                                                                          Best in #Video Utils
                                                                            Average in #Video Utils
                                                                            lal Reuse
                                                                              Best in #Video Utils
                                                                                Average in #Video Utils
                                                                                  Top functions reviewed by kandi - BETA
                                                                                  kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
                                                                                  Currently covering the most popular Java, JavaScript and Python libraries. See a Sample Here
                                                                                  Get all kandi verified functions for this library.
                                                                                  Get all kandi verified functions for this library.

                                                                                  lal Key Features

                                                                                  🔥 Golang audio/video live streaming library/client/server. support RTMP, RTSP(RTP/RTCP), HLS, HTTP[S]/WebSocket-FLV/TS, GB28181, H264/H265/AAC, relay, cluster, record, HTTP API/Notify. 直播

                                                                                  lal Examples and Code Snippets

                                                                                  No Code Snippets are available at this moment for lal.
                                                                                  Community Discussions

                                                                                  Trending Discussions on lal

                                                                                  How to populate a df with rolling head to head between teams?
                                                                                  chevron right
                                                                                  ASP.NET C# Web API: JsonConvert.SerializeObject Weirdly 'Escapes' Array
                                                                                  chevron right
                                                                                  Best way to replicate SQL "update case when..." with Pandas?
                                                                                  chevron right
                                                                                  Some data of Firebase databse is not displayed in recyclerview
                                                                                  chevron right
                                                                                  bash: make array from table
                                                                                  chevron right
                                                                                  How to find word in python?
                                                                                  chevron right
                                                                                  How to sum the length of particular array field present in all objects inside an array in mongodb document
                                                                                  chevron right
                                                                                  How to sum a particular number field present in all objects inside an array in mongodb document
                                                                                  chevron right
                                                                                  Unable to see the lines in chart.js
                                                                                  chevron right
                                                                                  How to create a game_id variable for team / opponent data in SQL
                                                                                  chevron right

                                                                                  QUESTION

                                                                                  How to populate a df with rolling head to head between teams?
                                                                                  Asked 2022-Feb-26 at 01:43

                                                                                  I have a df with data about matches between teams and I want to make a new column that has the h2h record between teams prior to a match.

                                                                                  For example:

                                                                                  df = pd.DataFrame(data = [['LAC','LAL', 1, '15/02/2022'], ['LAC','LAL', 1, '16/02/2022'], ['LAL','LAC', 1, '17/02/2022'],
                                                                                                             ['LAL','LAC', 1, '18/02/2022'], ['LAL','LAC', 1, '19/02/2022'], ['LAC','LAL', 1, '20/02/2022'],
                                                                                                             ['LAL','LAC', 1, '21/02/2022'], ['LAC','LAL', 1, '22/02/2022']],
                                                                                                     columns = ['winner', 'loser', 'won', 'date'])
                                                                                  

                                                                                  In this example the head to head prior to each match should be: 0-0, 1-0, 2-0, 1-2, 2-2, 3-3, 3-4

                                                                                  I want to calculate h2h % wins, but I guess getting the number of wins of one team vs the other is the first step. I can calculate the final h2h with a groupby but I'm not sure how to approach calculating per match given that a team might either be in one of the two columns. To note, the format of this df follows a winner/loser format so 'won' is always 1. Alternatively, I can change the df to a long version (one match = two rows) but not sure if that helps. I have other columns as well but I'm not sure if they are relevant for this question (more stats, ids' etc).

                                                                                  Based on @quasi-human reply, I can do the following:

                                                                                  df['winner_wins'] = df.groupby(['winner', 'loser'])['won'].cumsum()
                                                                                  df['winner_wins'] = df.groupby(['winner', 'loser'])['winner_wins'].shift(1)
                                                                                  

                                                                                  to get an accurate record of number of wins of the 'winner' team prior to a match. But I don't know how should I approach getting the same for the 'loser' team

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-26 at 01:43

                                                                                  If I understand your question correctly, cumsum and expanding methods might be useful for you.

                                                                                  Code:
                                                                                  import pandas as pd
                                                                                  
                                                                                  # Create a sample dataframe
                                                                                  df = pd.DataFrame(data = [['LAC','LAL', 1, '15/02/2022'], ['LAC','LAL', 1, '16/02/2022'], ['LAL','LAC', 1, '17/02/2022'], ['LAL','LAC', 1, '18/02/2022'], ['LAL','LAC', 1, '19/02/2022'], ['LAC','LAL', 1, '20/02/2022'], ['LAL','LAC', 1, '21/02/2022'], ['LAC','LAL', 1, '22/02/2022']], columns = ['winner', 'loser', 'won', 'date'])
                                                                                  
                                                                                  # Calculate h2h records
                                                                                  df = df.sort_values('date').assign(
                                                                                      LAC_h2h_wins=(df.winner=='LAC').cumsum(),
                                                                                      LAL_h2h_wins=(df.winner=='LAL').cumsum(),
                                                                                      LAC_h2h_wins_pct=(df.winner=='LAC').expanding().agg(lambda s: 100 * s.sum() / len(s)),
                                                                                      LAL_h2h_wins_pct=(df.winner=='LAL').expanding().agg(lambda s: 100 * s.sum() / len(s)),
                                                                                  )
                                                                                  
                                                                                  print(df)
                                                                                  
                                                                                  Output: winner loser won date LAC_h2h_wins LAL_h2h_wins LAC_h2h_wins_pct LAL_h2h_wins_pct 0 LAC LAL 1 15/02/2022 1 0 100 0 1 LAC LAL 1 16/02/2022 2 0 100 0 2 LAL LAC 1 17/02/2022 2 1 66.6667 33.3333 3 LAL LAC 1 18/02/2022 2 2 50 50 4 LAL LAC 1 19/02/2022 2 3 40 60 5 LAC LAL 1 20/02/2022 3 3 50 50 6 LAL LAC 1 21/02/2022 3 4 42.8571 57.1429 7 LAC LAL 1 22/02/2022 4 4 50 50 [EDIT]

                                                                                  Answer to the OP's comment.

                                                                                  Code:
                                                                                  import pandas as pd
                                                                                  
                                                                                  # Create a sample dataframe with more data points
                                                                                  df = pd.DataFrame(data = [['LAC','LAL', 1, '15/02/2022'], ['LAC','LAL', 1, '16/02/2022'], ['LAL','LAC', 1, '17/02/2022'], ['LAL','LAC', 1, '18/02/2022'], ['LAL','LAC', 1, '19/02/2022'], ['LAC','LAL', 1, '20/02/2022'], ['LAL','LAC', 1, '21/02/2022'], ['LAC','LAL', 1, '22/02/2022'], ['ABC','LAL', 1, '15/02/2022'], ['ABC','LAL', 1, '16/02/2022'], ['LAL','ABC', 1, '17/02/2022'], ['LAL','ABC', 1, '18/02/2022'], ['LAL','ABC', 1, '19/02/2022'], ['ABC','LAL', 1, '20/02/2022'], ['LAL','ABC', 1, '21/02/2022'], ['ABC','LAL', 1, '22/02/2022'], ['ABC','XYZ', 1, '15/02/2022'], ['ABC','XYZ', 1, '16/02/2022'], ['XYZ','ABC', 1, '17/02/2022'], ['XYZ','ABC', 1, '18/02/2022'], ['XYZ','ABC', 1, '19/02/2022'], ['ABC','XYZ', 1, '20/02/2022'], ['XYZ','ABC', 1, '21/02/2022'], ['ABC','XYZ', 1, '22/02/2022'], ['LAC','XYZ', 1, '15/02/2022'], ['LAC','XYZ', 1, '16/02/2022'], ['XYZ','LAC', 1, '17/02/2022'], ['XYZ','LAC', 1, '18/02/2022'], ['XYZ','LAC', 1, '19/02/2022'], ['LAC','XYZ', 1, '20/02/2022'], ['XYZ','LAC', 1, '21/02/2022'], ['LAC','XYZ', 1, '22/02/2022']], columns = ['winner', 'loser', 'won', 'date'])
                                                                                  
                                                                                  # In order to group by games, make sorted game titles like "LAC-LAL"
                                                                                  df['game'] = df.apply(lambda r: '-'.join(sorted([r.winner, r.loser])), axis=1)
                                                                                  
                                                                                  # Ensure that df is sorted game and date (date must align in the ascending order)
                                                                                  df = df.sort_values(['game', 'date'], ignore_index=True)
                                                                                  
                                                                                  # Assign 1 if the left team in the game title, otherwise 0. For example, "LAC" is the left team in the game title "LAC-LAL"
                                                                                  df['left_win'] = df.apply(lambda r: f'{r.winner}-{r.loser}'==r.game, axis=1)
                                                                                  
                                                                                  # Do the same thing on the right team.
                                                                                  df['right_win'] = ~df.left_win
                                                                                  
                                                                                  # Calculate the cumulative sumation.
                                                                                  df[['left_win_cumsum', 'right_win_cumsum']] = df.groupby('game')[['left_win', 'right_win']].cumsum()
                                                                                  
                                                                                  # Shift and fill the first games as 0
                                                                                  df[['h2h_winner', 'h2h_loser']] = df.groupby('game')[['left_win_cumsum', 'right_win_cumsum']].shift().fillna(0).astype(int)
                                                                                  
                                                                                  # Check the order in a pair of winner and loser columns. If the order is different from the game title, reverse the cumsum values
                                                                                  f = lambda r: [r.h2h_winner, r.h2h_loser] if f'{r.winner}-{r.loser}'==r.game else [r.h2h_loser, r.h2h_winner]
                                                                                  df[['h2h_winner', 'h2h_loser']] = df.apply(f, axis=1).apply(pd.Series)
                                                                                  
                                                                                  # Drop all the temporary columns
                                                                                  df = df.drop(['game', 'left_win', 'right_win', 'left_win_cumsum', 'right_win_cumsum'], axis=1)
                                                                                  
                                                                                  print(df.to_markdown(stralign='center', numalign='center'))
                                                                                  
                                                                                  Output (extracted only LAC - LAL games): winner loser won date h2h_winner h2h_loser 16 LAC LAL 1 15/02/2022 0 0 17 LAC LAL 1 16/02/2022 1 0 18 LAL LAC 1 17/02/2022 0 2 19 LAL LAC 1 18/02/2022 1 2 20 LAL LAC 1 19/02/2022 2 2 21 LAC LAL 1 20/02/2022 2 3 22 LAL LAC 1 21/02/2022 3 3 23 LAC LAL 1 22/02/2022 3 4

                                                                                  Source https://stackoverflow.com/questions/71228801

                                                                                  QUESTION

                                                                                  ASP.NET C# Web API: JsonConvert.SerializeObject Weirdly 'Escapes' Array
                                                                                  Asked 2022-Feb-03 at 21:17

                                                                                  I am trying to build a simple GET API that will fetch data from an API and enable me to fetch it from my frontend (Javascript) however the problem that I am facing is when returning JsonConvert.SerializeObject it weirdly escapes an array that's stored in the database and is becoming a nightmare to parse in the frontend:

                                                                                  Code:

                                                                                          public string Get()
                                                                                          {
                                                                                              sqlQuery =
                                                                                                  "SELECT TOP 60 * FROM tb_HandoverDetails ORDER BY SubmittedDateTimeUTC DESC";
                                                                                  
                                                                                              SqlDataAdapter da = new SqlDataAdapter(sqlQuery, conn);
                                                                                  
                                                                                              DataTable dt = new DataTable();
                                                                                              da.Fill (dt);
                                                                                              if (dt.Rows.Count > 0)
                                                                                              {
                                                                                                  return JsonConvert.SerializeObject(dt);
                                                                                              }
                                                                                              else
                                                                                              {
                                                                                                  Response.StatusCode = 400;
                                                                                                  return "no data found";
                                                                                              }
                                                                                          }
                                                                                  

                                                                                  Result:

                                                                                  [
                                                                                    {
                                                                                      "ID": 8,
                                                                                      "Submitter": "auth.user",
                                                                                      "SubmittedDateTimeUTC": "2021-10-05T20:29:13",
                                                                                      "ExcelTableOne": "\"[{\\\"caseID\\\":[\\\"123\\\",\\\"1234\\\",\\\"12345\\\",\\\"123456\\\",\\\"1234567\\\",\\\"12345678\\\",\\\"123456789\\\"]},{\\\"owner\\\":[]},{\\\"assignee\\\":[]},{\\\"comments\\\":[]}]\""
                                                                                    },
                                                                                  ]
                                                                                  

                                                                                  ExcelTableOne is the array that's weirdly escaped.

                                                                                  ExcelTableOne data inside Database:

                                                                                  "[{\"caseID\":[\"123\",\"1234\",\"12345\",\"123456\",\"1234567\",\"12345678\",\"123456789\"]},{\"owner\":[\"Ayush Lal\"]},{\"assignee\":[]},{\"comments\":[]}]"
                                                                                  

                                                                                  Any ideas?

                                                                                  TIA

                                                                                  ANSWER

                                                                                  Answered 2021-Oct-05 at 14:08

                                                                                  You serialized again ExcelTableOne that was serialized already

                                                                                  To fix, try this

                                                                                       var resultStr= Get();
                                                                                  
                                                                                     var resultPrev= JsonConvert.DeserializeObject>(resultStr);
                                                                                  
                                                                                  var result = resultPrev.Select(p => new Submiter {Id=p.Id, Submitter=p.Submitter, SubmittedDateTimeUtc=p.SubmittedDateTimeUtc}).ToList();
                                                                                  
                                                                                       for (int i = 0; i < result.Count; i++)
                                                                                      {
                                                                                          var excelTableStr = JsonConvert.DeserializeObject(resultPrev[i].ExcelTableOneStr);
                                                                                      
                                                                                          result[i].ExcelTableOne= JsonConvert.DeserializeObject>(excelTableStr);
                                                                                      
                                                                                      }
                                                                                  

                                                                                  classes

                                                                                  public partial class SubmiterStr
                                                                                      {
                                                                                      [JsonProperty("ID")]
                                                                                      public long Id { get; set; }
                                                                                  
                                                                                      [JsonProperty("Submitter")]
                                                                                      public string Submitter { get; set; }
                                                                                  
                                                                                      [JsonProperty("SubmittedDateTimeUTC")]
                                                                                      public DateTimeOffset SubmittedDateTimeUtc { get; set; }
                                                                                  
                                                                                      [JsonProperty("ExcelTableOne")]
                                                                                      public string ExcelTableOneStr { get; set; }
                                                                                      
                                                                                  }
                                                                                  public partial class Submiter
                                                                                  {
                                                                                      [JsonProperty("ID")]
                                                                                      public long Id { get; set; }
                                                                                  
                                                                                      [JsonProperty("Submitter")]
                                                                                      public string Submitter { get; set; }
                                                                                  
                                                                                      [JsonProperty("SubmittedDateTimeUTC")]
                                                                                      public DateTimeOffset SubmittedDateTimeUtc { get; set; }
                                                                                  
                                                                                      [JsonProperty("ExcelTableOne")]
                                                                                      public List ExcelTableOne { get; set; }
                                                                                  }
                                                                                  
                                                                                  public partial class ExcelTableOne
                                                                                  {
                                                                                      [JsonProperty("caseID", NullValueHandling = NullValueHandling.Ignore)]
                                                                                      //[JsonConverter(typeof(DecodeArrayConverter))]
                                                                                      public long[] CaseId { get; set; }
                                                                                  
                                                                                      [JsonProperty("owner", NullValueHandling = NullValueHandling.Ignore)]
                                                                                      public object[] Owner { get; set; }
                                                                                  
                                                                                      [JsonProperty("assignee", NullValueHandling = NullValueHandling.Ignore)]
                                                                                      public object[] Assignee { get; set; }
                                                                                  
                                                                                      [JsonProperty("comments", NullValueHandling = NullValueHandling.Ignore)]
                                                                                      public object[] Comments { get; set; }
                                                                                  }
                                                                                  

                                                                                  result

                                                                                  [
                                                                                    {
                                                                                      "ID": 8,
                                                                                      "Submitter": "auth.user",
                                                                                      "SubmittedDateTimeUTC": "2021-10-05T20:29:13-02:30",
                                                                                      "ExcelTableOne": [
                                                                                        {
                                                                                          "caseID": [
                                                                                            123,
                                                                                            134,
                                                                                            12345,
                                                                                            123456,
                                                                                            1234567,
                                                                                            12345678,
                                                                                            123456789
                                                                                          ]
                                                                                        },
                                                                                        {
                                                                                          "owner": []
                                                                                        },
                                                                                        {
                                                                                          "assignee": []
                                                                                        },
                                                                                        {
                                                                                          "comments": []
                                                                                        }
                                                                                      ]
                                                                                    }
                                                                                  ]
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/69450447

                                                                                  QUESTION

                                                                                  Best way to replicate SQL "update case when..." with Pandas?
                                                                                  Asked 2022-Jan-29 at 13:57

                                                                                  I have this sample data set

                                                                                  City LAL NYK Dallas Detroit SF Chicago Denver Phoenix Toronto

                                                                                  And what I want to do is update certain values with specific values, and the rest of it I would leave as it is.

                                                                                  So, with SQL I would do something like this:

                                                                                  update table1
                                                                                  set city = case 
                                                                                  when city='LAL' then 'Los Angeles'
                                                                                  when city='NYK' then 'New York'
                                                                                  Else city
                                                                                  end
                                                                                  

                                                                                  What would be the best way to do this in Pandas?

                                                                                  ANSWER

                                                                                  Answered 2022-Jan-29 at 13:48

                                                                                  You can directly replace the values like this:

                                                                                  replacement_dict = {"LAL": "Los Angeles", "NYK": "New York"}
                                                                                  for key, value in replacement_dict.items():
                                                                                      df['City'][df['City'] == key] = value
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/70906013

                                                                                  QUESTION

                                                                                  Some data of Firebase databse is not displayed in recyclerview
                                                                                  Asked 2022-Jan-20 at 11:49

                                                                                  I have created an app and stored some data in firebase database. I want to show the data in recyclerview but all the data is not populated i.e. Data of 4 fields is displaying but data of two fields (bloodgroup and phone no) is not displayed by the recyclerview. Below is my code. Thanks in advance

                                                                                  My Adapter RcvAdapter

                                                                                  public class RcvAdapter extends FirebaseRecyclerAdapter {
                                                                                  
                                                                                      public RcvAdapter(@NonNull @NotNull FirebaseRecyclerOptions options) {
                                                                                          super(options);
                                                                                      }
                                                                                  
                                                                                      @Override
                                                                                      protected void onBindViewHolder(@NonNull @NotNull MyViewHolder holder, int position, @NonNull @NotNull ModelClass model) {
                                                                                  
                                                                                          holder.uAddress.setText(model.getAddress());
                                                                                          holder.uBGroup.setText(model.getBloodGroup());
                                                                                          holder.uCity.setText(model.getCity());
                                                                                          holder.uDistrict.setText(model.getDistrict());
                                                                                          holder.uName.setText(model.getName());
                                                                                          holder.uPhone.setText(model.getPhoneNumber());
                                                                                          holder.uContact.setText(model.getContact());
                                                                                      }
                                                                                  
                                                                                      @NonNull
                                                                                      @NotNull
                                                                                      @Override
                                                                                      public MyViewHolder onCreateViewHolder(@NonNull @NotNull ViewGroup parent, int viewType) {
                                                                                          View view = LayoutInflater.from(parent.getContext()).inflate(R.layout.dashboard_rcv_layout, parent, false);
                                                                                          return new MyViewHolder(view);
                                                                                      }
                                                                                  
                                                                                      class MyViewHolder extends RecyclerView.ViewHolder{
                                                                                  
                                                                                          TextView uAddress;
                                                                                          TextView uBGroup;
                                                                                          TextView uCity;
                                                                                          TextView uDistrict;
                                                                                          TextView uName;
                                                                                          TextView uPhone;
                                                                                          TextView uContact;
                                                                                  
                                                                                          public MyViewHolder(@NonNull @NotNull View itemView) {
                                                                                              super(itemView);
                                                                                  
                                                                                              uAddress = (TextView) itemView.findViewById(R.id.rcv_address);
                                                                                              uBGroup =(TextView)  itemView.findViewById(R.id.rcv_bloodGroup);
                                                                                              uCity =(TextView)  itemView.findViewById(R.id.rcv_city);
                                                                                              uDistrict =(TextView)  itemView.findViewById(R.id.rcv_district);
                                                                                              uName =(TextView)  itemView.findViewById(R.id.rcv_name);
                                                                                              uPhone = (TextView) itemView.findViewById(R.id.rcv_phoneNumber);
                                                                                              uContact =(TextView)  itemView.findViewById(R.id.rcv_contact);
                                                                                          }
                                                                                      }
                                                                                  

                                                                                  Recyclerview single row layout

                                                                                  
                                                                                  
                                                                                  
                                                                                      
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                          
                                                                                  
                                                                                      
                                                                                  
                                                                                  

                                                                                  My MainActivity

                                                                                  public class DashboardActivity extends AppCompatActivity {
                                                                                      RecyclerView recyclerView;
                                                                                      RcvAdapter adapter;
                                                                                     
                                                                                  
                                                                                      @Override
                                                                                      protected void onCreate(Bundle savedInstanceState) {
                                                                                          super.onCreate(savedInstanceState);
                                                                                          setContentView(R.layout.activity_dashboard);
                                                                                  
                                                                                  
                                                                                  
                                                                                  
                                                                                          recyclerView = findViewById(R.id.recyclerView);
                                                                                         
                                                                                          recyclerView.setLayoutManager(new LinearLayoutManager(this));
                                                                                    //      database = FirebaseDatabase.getInstance().getReference().child("Users");
                                                                                  
                                                                                  // Retrive firebase data into recyclerview
                                                                                          FirebaseRecyclerOptions options =
                                                                                                  new FirebaseRecyclerOptions.Builder()
                                                                                                          .setQuery(FirebaseDatabase.getInstance().getReference().child("Users"), ModelClass.class)
                                                                                                          .build();
                                                                                  
                                                                                          adapter = new RcvAdapter(options);
                                                                                          recyclerView.setAdapter(adapter);
                                                                                      }
                                                                                      @Override
                                                                                      protected void onStart() {
                                                                                          super.onStart();
                                                                                          adapter.startListening();
                                                                                      }
                                                                                  
                                                                                      @Override
                                                                                      protected void onStop() {
                                                                                          super.onStop();
                                                                                  
                                                                                              adapter.stopListening();
                                                                                  
                                                                                      }
                                                                                  

                                                                                  ModelClass

                                                                                  public class ModelClass {
                                                                                  
                                                                                      String address;
                                                                                      String bloodGroup;
                                                                                      String city;
                                                                                      String district;
                                                                                      String name;
                                                                                      String phoneNumber;
                                                                                      String contact;
                                                                                  
                                                                                      public ModelClass() {
                                                                                  
                                                                                      }
                                                                                  
                                                                                      public ModelClass(String address, String bloodGroup, String city, String district, String name, String phoneNumber, String contact) {
                                                                                          this.address = address;
                                                                                          this.bloodGroup = bloodGroup;
                                                                                          this.city = city;
                                                                                          this.district = district;
                                                                                          this.name = name;
                                                                                          this.phoneNumber = phoneNumber;
                                                                                          this.contact = contact;
                                                                                      }
                                                                                  
                                                                                      public String getAddress() {
                                                                                          return address;
                                                                                      }
                                                                                  
                                                                                      public void setAddress(String address) {
                                                                                          this.address = address;
                                                                                      }
                                                                                  
                                                                                      public String getBloodGroup() {
                                                                                          return bloodGroup;
                                                                                      }
                                                                                  
                                                                                      public void setBloodGroup(String bloodGroup) {
                                                                                          this.bloodGroup = bloodGroup;
                                                                                      }
                                                                                  
                                                                                      public String getCity() {
                                                                                          return city;
                                                                                      }
                                                                                  
                                                                                      public void setCity(String city) {
                                                                                          this.city = city;
                                                                                      }
                                                                                  
                                                                                      public String getDistrict() {
                                                                                          return district;
                                                                                      }
                                                                                  
                                                                                      public void setDistrict(String district) {
                                                                                          this.district = district;
                                                                                      }
                                                                                  
                                                                                      public String getName() {
                                                                                          return name;
                                                                                      }
                                                                                  
                                                                                      public void setName(String name) {
                                                                                          this.name = name;
                                                                                      }
                                                                                  
                                                                                      public String getPhoneNumber() {
                                                                                          return phoneNumber;
                                                                                      }
                                                                                  
                                                                                      public void setPhoneNumber(String phoneNumber) {
                                                                                          this.phoneNumber = phoneNumber;
                                                                                      }
                                                                                  
                                                                                      public String getContact() {
                                                                                          return contact;
                                                                                      }
                                                                                  
                                                                                      public void setContact(String contact) {
                                                                                          this.contact = contact;
                                                                                      }
                                                                                      
                                                                                  }
                                                                                  

                                                                                  data of blood group and Phone No is no populating.

                                                                                  DashboardActivity Layout

                                                                                  
                                                                                  
                                                                                      
                                                                                  
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2022-Jan-20 at 11:49

                                                                                  Since you're using the default encoder/decoder with the FirebaseRecycler class, you should make sure to match the key names in the database with the key names in your model.

                                                                                  For example, Try changing "phoneNumber" in ModelClass to "phone" (same as database).

                                                                                  Source https://stackoverflow.com/questions/70488598

                                                                                  QUESTION

                                                                                  bash: make array from table
                                                                                  Asked 2021-Dec-15 at 18:56

                                                                                  I am operating with the multiple column data: ID,num,score

                                                                                  7LMQ,Y6G,1.99
                                                                                  7LAA,Y65,2.95
                                                                                  7LZZ,Y55,8.106
                                                                                  7LDD,YAA,9.063
                                                                                  7N66,0HG,6.042
                                                                                  7444,HOP,5.02
                                                                                  7LJF,HEI,5.14
                                                                                  7LFD,LAL,4.128
                                                                                  7KCV,Cho,4.31
                                                                                  7GHJ,Ro,9.045
                                                                                  

                                                                                  using some simple script I need to create two bash arrays from this data:

                                                                                  1. a simple array containing elemements from the second column:

                                                                                    sdf_lists=("Y6G" "Y65" "Y55" "YAA" "0HG" "HOP" "HEI" "LAL" "Cho" "Ro")

                                                                                  2. an associative array made from the elements of the 2nd and the 1st columns:

                                                                                    dataset=( [Y6G]=7LMQ [Y65]=7LAA [Y55]=7LZZ [YAA]=7LDD [0HG]=7N66 [HOP]=7444 [HEI]=7LJF [LAL]=7LFD [Cho]=7KCV [Ro]=7GHj ).

                                                                                  Do I need something complex like AWK to achive it or simple GREP solution will work as well?

                                                                                  ANSWER

                                                                                  Answered 2021-Dec-15 at 18:56

                                                                                  bash by itself is all you need

                                                                                  declare -a sdf_lists=()
                                                                                  declare -A dataset=()
                                                                                  
                                                                                  while IFS=, read -r id sdf value; do
                                                                                    sdf_lists+=("$sdf")
                                                                                    dataset[$id]="$sdf"
                                                                                  done < file.csv
                                                                                  
                                                                                  declare -p sdf_lists dataset
                                                                                  

                                                                                  result

                                                                                  declare -a sdf_lists=([0]="Y6G" [1]="Y65" [2]="Y55" [3]="YAA" [4]="0HG" [5]="HOP" [6]="HEI" [7]="LAL" [8]="Cho" [9]="Ro")
                                                                                  declare -A dataset=([7LMQ]="Y6G" [7LJF]="HEI" [7444]="HOP" [7GHJ]="Ro" [7KCV]="Cho" [7N66]="0HG" [7LFD]="LAL" [7LZZ]="Y55" [7LDD]="YAA" [7LAA]="Y65" )
                                                                                  

                                                                                  To address Andre Wildberg's appropriate concern about CSV data, with bash 5.1, we can do

                                                                                  enable -f /usr/local/lib/bash/csv csv     # your location may be different
                                                                                  
                                                                                  while IFS= read -r line; do
                                                                                    csv -a fields "$line"
                                                                                    sdf_lists+=("${fields[1]}")
                                                                                    dataset[${fields[0]}]="${fields[1]}"
                                                                                  done < file.csv
                                                                                  

                                                                                  Or, use a tool like python or ruby that ship with CSV modules in their standard library.

                                                                                  Source https://stackoverflow.com/questions/70363372

                                                                                  QUESTION

                                                                                  How to find word in python?
                                                                                  Asked 2021-Dec-12 at 07:55

                                                                                  I have list of strings and have to find specific text from string. example

                                                                                  L1=["Address:S/O: Puran Mal Saini, xxxxxxxxxx,Pxxxxxxxx, Palam Vilxxxxxxiage,Palam",
                                                                                      "Address:S/O Radheyshyam Sharma, E SECOND",
                                                                                      "Address:S/O: Saroj Shahi, gram-shyampur",
                                                                                      "Address:S/O Birjraj Singh, Cccxxxx, NEW Azzzzzzz,",
                                                                                      "Address:208027 S/O: Naresh Chandra Mishra",
                                                                                      "Address: C/O: Mayenk Jain. 260/18, Axxxxxxxr, Opp. Haxxxx xxxxxr, Gxxxxxa",
                                                                                      "Address:208027S/O: Naresh Chandra Mishra,Wxxx, 127/406",
                                                                                      "Address: C/O Sachin Vasant Shivaji Vidhyalay, Sissssss",
                                                                                      "Address S/OGanesh Lal Dev, LOT NO-227, NXXXXXXXXX",
                                                                                      "Address S/O,Ganesh Lal Dev, LOT NO-227, XXXCCCVVVVVVV"]
                                                                                  

                                                                                  My desire output from above list

                                                                                   Puran Mal Saini,
                                                                                   Radheyshyam Sharma
                                                                                   Saroj Shahi
                                                                                   Birjraj Singh
                                                                                   Naresh Chandra Mishra
                                                                                   Mayenk Jain
                                                                                   Naresh Chandra Mishra
                                                                                   Sachin Vasant Shivaji Vidhyalay
                                                                                   Ganesh Lal Dev
                                                                                   Ganesh Lal Dev
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2021-Dec-12 at 07:55
                                                                                  import re
                                                                                  
                                                                                  pattern = re.compile(".+?(?:[CS]\/O).*?([\w ]+).*", re.IGNORECASE)
                                                                                  
                                                                                  print([pattern.findall(x)[0].strip() for x in L1])
                                                                                  

                                                                                  OUTPUT

                                                                                  ['Puran Mal Saini', 'Radheyshyam Sharma', 'Saroj Shahi', 'Birjraj Singh', 'Naresh Chandra Mishra', 'Mayenk Jain', 'Naresh Chandra Mishra', 'Sachin Vasant Shivaji Vidhyalay', 'Ganesh Lal Dev', 'Ganesh Lal Dev']
                                                                                  

                                                                                  You can avoid the strip in your list comprehension if you use:

                                                                                  pattern = re.compile(".+?(?:[CS]\/O).*?(\w[\w ]+).*", re.IGNORECASE)
                                                                                  

                                                                                  Anyway - I do agree with one of the comments: your data source looks extremely messed up, and I am not sure if this pattern will work for other lines I have not seen.

                                                                                  Source https://stackoverflow.com/questions/70321447

                                                                                  QUESTION

                                                                                  How to sum the length of particular array field present in all objects inside an array in mongodb document
                                                                                  Asked 2021-Nov-05 at 00:10

                                                                                  This is the sample of my mongodb document( try to use jsonformatter.com to analyse it):

                                                                                  {"_id":"6278686","playerName":"Rohit Lal","tournamentId":"197831","score":[{"_id":"1611380","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":["Mohit Mishra"],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1602732","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1536514","runsScored":1,"ballFaced":3,"fours":0,"sixes":0,"strikeRate":33.33,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"run out Sameer Baveja","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1536474","runsScored":2,"ballFaced":7,"fours":0,"sixes":0,"strikeRate":28.57,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"c Rajesh b Prasad Naik","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1536467","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1500825","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1461428","runsScored":18,"ballFaced":6,"fours":1,"sixes":2,"strikeRate":300,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"not out","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1461408","runsScored":0,"ballFaced":1,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"c Sudhir b Vinay Kasat *vk*","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1451175","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1451146","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1392796","runsScored":0,"ballFaced":1,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"c †Vinay Kedia b Lalit","catches":[],"stumping":[],"runout":[],"participatedRunout":[]}],"__v":0}
                                                                                  

                                                                                  I want to sum the length of catches array field of all objects inside score array. I know, I can achieve it using aggregation framework, but I am begineer in mongodb and does not have knowledge of many aggregation operators. Here is the aggregation pipeline I have tried but it returns the number of existence of this field, not the sum of length of this array:

                                                                                  [
                                                                                      "totalCatches": {
                                                                                          $size: "$score.catches"
                                                                                       }
                                                                                  ]
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2021-Nov-05 at 00:10
                                                                                  1. $unwind - Descontruct score array field to multiple documents.
                                                                                  2. $group - Group by null (for all objects), next $sum for the $size of score.catches.
                                                                                  db.collection.aggregate([
                                                                                    {
                                                                                      $unwind: "$score"
                                                                                    },
                                                                                    {
                                                                                      $group: {
                                                                                        _id: null,
                                                                                        "totalCatches": {
                                                                                          $sum: {
                                                                                            $size: "$score.catches"
                                                                                          }
                                                                                        }
                                                                                      }
                                                                                    }
                                                                                  ])
                                                                                  

                                                                                  Sample Mongo Playground

                                                                                  Note: If you want the result to be based on each document (not combine all documents), then you need to change the $group's _id as:

                                                                                  {
                                                                                      $group: {
                                                                                        _id: "$_id",
                                                                                        ...
                                                                                     }   
                                                                                  }
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/69842776

                                                                                  QUESTION

                                                                                  How to sum a particular number field present in all objects inside an array in mongodb document
                                                                                  Asked 2021-Nov-04 at 15:30

                                                                                  This is the sample of my mongodb document( try to use jsonformatter.com to analyse it):

                                                                                  {"_id":"6278686","playerName":"Rohit Lal","tournamentId":"197831","score":[{"_id":"1611380","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":["Mohit Mishra"],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1602732","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1536514","runsScored":1,"ballFaced":3,"fours":0,"sixes":0,"strikeRate":33.33,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"run out Sameer Baveja","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1536474","runsScored":2,"ballFaced":7,"fours":0,"sixes":0,"strikeRate":28.57,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"c Rajesh b Prasad Naik","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1536467","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1500825","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1461428","runsScored":18,"ballFaced":6,"fours":1,"sixes":2,"strikeRate":300,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"not out","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1461408","runsScored":0,"ballFaced":1,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"c Sudhir b Vinay Kasat *vk*","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1451175","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1451146","runsScored":0,"ballFaced":0,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"-","catches":[],"stumping":[],"runout":[],"participatedRunout":[]},{"_id":"1392796","runsScored":0,"ballFaced":1,"fours":0,"sixes":0,"strikeRate":0,"oversBowled":0,"runsConceded":0,"economyRate":0,"wickets":0,"maiden":0,"howToOut":"c †Vinay Kedia b Lalit","catches":[],"stumping":[],"runout":[],"participatedRunout":[]}],"__v":0}
                                                                                  

                                                                                  I want to sum the runsScored field of all objects inside score array. I know, I can achieve it using aggregation framework, but I am begineer in mongodb and does not have knowledge of many aggregation operators.

                                                                                  ANSWER

                                                                                  Answered 2021-Nov-04 at 15:30

                                                                                  To avoid $unwind if you want to get the total for each document, you can use this aggregation stage:

                                                                                  db.collection.aggregate([
                                                                                    {
                                                                                      "$project": {
                                                                                        "sum": {
                                                                                          "$sum": "$score.runsScored"
                                                                                        }
                                                                                      }
                                                                                    }
                                                                                  ])
                                                                                  

                                                                                  The trick here is using $score.runsScored it generates an array with all values, then you only have to $sum these values.

                                                                                  Example here

                                                                                  The other way is using $unwind and $group like this. Note that in this example _id is null to sum all values in the collection, to get the total for each document you have to use _id: $_id like this example

                                                                                  Source https://stackoverflow.com/questions/69841391

                                                                                  QUESTION

                                                                                  Unable to see the lines in chart.js
                                                                                  Asked 2021-Oct-22 at 17:05

                                                                                  I am trying to make a django website which will display a chart that is updated every 1sec. I dont know why but except for the lines everything else is getting update a snapshot of the graph with the console log. the code below is my jquery in the html page

                                                                                  {% block jquery %}
                                                                                  

                                                                                  and this is my apiview

                                                                                  class ChartData(APIView):
                                                                                  authentication_classes = []
                                                                                  permission_classes = []
                                                                                  
                                                                                  def get(self, request, format=None):
                                                                                  
                                                                                      g_dic = GetGoldRates()
                                                                                      now = datetime.datetime.now()
                                                                                      current_time = now.strftime("%H:%M:%S")
                                                                                  
                                                                                  
                                                                                      tg = {
                                                                                          'time': current_time,
                                                                                          'b1': float(g_dic['karat24']),
                                                                                          's24K': float(g_dic['fixkarat24']),
                                                                                  
                                                                                      }
                                                                                  
                                                                                      return Response(tg)
                                                                                  

                                                                                  g_dic will usually get a dic like this {'api_rate': '1796.03', 'karat24': '17.501', 'karat22': '16.031', 'karat21': '15.313', 'karat18': '13.126', 'fixkarat24': '17.950', 'fixkarat22': '17.050', 'fixkarat21': '16.300', 'fixkarat18': '14.000'}

                                                                                  Could someone please help and point out my mistake

                                                                                  ANSWER

                                                                                  Answered 2021-Oct-22 at 17:05

                                                                                  You are telling chart.js which custom key it needs to look for for the y axis but not for the x axis. So chart.js is looking for the x key in the object.

                                                                                  Changing your parsing config to include the xAxisKey: 'time' will fix your issue.

                                                                                  
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/69680408

                                                                                  QUESTION

                                                                                  How to create a game_id variable for team / opponent data in SQL
                                                                                  Asked 2021-Oct-07 at 00:31

                                                                                  looking for some help on how to create a game_id variable in SQL. I'm working on an nba project and I can manipulate the data into team, date, opponent format where every team has a row for each game they play. A game_id variable would make my life easier for other work in the project but I don't know how to create it.

                                                                                  The variable itself can start from 1 or 100000, doesn't matter. I just need it to uniquely identify every game that is being played.

                                                                                  Below is an example table + data you can create to see my dilemma. Ideally the LAL and GSW rows would both have the same game_id, and the BKN and MIL rows would have the same game_id.

                                                                                  CREATE TABLE basketball_data (
                                                                                      team text,
                                                                                      dategame date,
                                                                                      opponent text
                                                                                  );
                                                                                  
                                                                                  INSERT INTO basketball_data (team, dategame, opponent)
                                                                                  VALUES ('GSW', '2021-10-19', 'LAL');
                                                                                  
                                                                                  INSERT INTO basketball_data (team, dategame, opponent)
                                                                                  VALUES ('LAL', '2021-10-19', 'GSW');
                                                                                  
                                                                                  INSERT INTO basketball_data (team, dategame, opponent)
                                                                                  VALUES ('BKN', '2021-10-19', 'MIL');
                                                                                  
                                                                                  INSERT INTO basketball_data (team, dategame, opponent)
                                                                                  VALUES ('MIL', '2021-10-19', 'BKN');
                                                                                  
                                                                                  

                                                                                  Anyone have an idea of what would be a way of creating a variable like this? If it makes a difference, I'm working in PostgreSQL. Thanks!

                                                                                  ANSWER

                                                                                  Answered 2021-Oct-07 at 00:31

                                                                                  You may try the following using DENSE_RANK as a window function:

                                                                                  Retrieving a game id during queries

                                                                                  SELECT
                                                                                       DENSE_RANK() OVER (
                                                                                           ORDER BY 
                                                                                                dategame,(
                                                                                                  CASE
                                                                                                      WHEN team < opponent THEN CONCAT(team,opponent)
                                                                                                      ELSE CONCAT(opponent,team)
                                                                                                  END
                                                                                                )
                                                                                       ) as game_id,     
                                                                                       team,
                                                                                       dategame,
                                                                                       opponent
                                                                                  FROM 
                                                                                       basketball_data;
                                                                                  
                                                                                  game_id team dategame opponent 1 BKN 2021-10-19T00:00:00.000Z MIL 1 MIL 2021-10-19T00:00:00.000Z BKN 2 GSW 2021-10-19T00:00:00.000Z LAL 2 LAL 2021-10-19T00:00:00.000Z GSW

                                                                                  Creating a new table with the same data and game id

                                                                                  CREATE TABLE basketball_data_with_game_id AS 
                                                                                  SELECT
                                                                                       DENSE_RANK() OVER (
                                                                                           ORDER BY 
                                                                                                dategame,(
                                                                                                  CASE
                                                                                                      WHEN team < opponent THEN CONCAT(team,opponent)
                                                                                                      ELSE CONCAT(opponent,team)
                                                                                                  END
                                                                                                )
                                                                                       ) as game_id,     
                                                                                       team,
                                                                                       dategame,
                                                                                       opponent
                                                                                  FROM 
                                                                                       basketball_data;
                                                                                  

                                                                                  There are no results to be displayed.

                                                                                  SELECT * FROM basketball_data_with_game_id;
                                                                                  
                                                                                  game_id team dategame opponent 1 BKN 2021-10-19T00:00:00.000Z MIL 1 MIL 2021-10-19T00:00:00.000Z BKN 2 GSW 2021-10-19T00:00:00.000Z LAL 2 LAL 2021-10-19T00:00:00.000Z GSW

                                                                                  Updating the existing table to have the game id

                                                                                  ALTER TABLE basketball_data
                                                                                  ADD game_id INT DEFAULT 0;
                                                                                  

                                                                                  There are no results to be displayed.

                                                                                  UPDATE basketball_data
                                                                                  SET game_id = n.game_id
                                                                                  FROM (
                                                                                  SELECT
                                                                                       DENSE_RANK() OVER (
                                                                                           ORDER BY 
                                                                                                dategame,(
                                                                                                  CASE
                                                                                                      WHEN team < opponent THEN CONCAT(team,opponent)
                                                                                                      ELSE CONCAT(opponent,team)
                                                                                                  END
                                                                                                )
                                                                                       ) as game_id,     
                                                                                       team,
                                                                                       dategame,
                                                                                       opponent
                                                                                  FROM 
                                                                                       basketball_data
                                                                                  ) n
                                                                                  WHERE basketball_data.game_id=0 AND
                                                                                        basketball_data.team=n.team AND
                                                                                        basketball_data.dategame=n.dategame AND
                                                                                        basketball_data.opponent=n.opponent;
                                                                                  

                                                                                  There are no results to be displayed.

                                                                                  SELECT * FROM basketball_data;
                                                                                  
                                                                                  team dategame opponent game_id BKN 2021-10-19T00:00:00.000Z MIL 1 MIL 2021-10-19T00:00:00.000Z BKN 1 GSW 2021-10-19T00:00:00.000Z LAL 2 LAL 2021-10-19T00:00:00.000Z GSW 2

                                                                                  View on DB Fiddle

                                                                                  Let me know if this works for you.

                                                                                  Source https://stackoverflow.com/questions/69473959

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

                                                                                  Vulnerabilities

                                                                                  No vulnerabilities reported

                                                                                  Install lal

                                                                                  There are 3 ways of installing lal:.
                                                                                  Prebuilt binaries for Linux, macOS(Darwin), Windows are available in the lal github releases page. Naturally, using the latest release binary is the recommended way. The naming format is lal_<version>_<platform>.zip, e.g. lal_v0.20.0_linux.zip. LAL could also be built from the source wherever the Go compiler toolchain can run, e.g. for other architectures including arm32 and mipsle which have been tested by the community.

                                                                                  Support

                                                                                  Bugs, questions, suggestions, anything related or not, feel free to contact me with lal github issues.
                                                                                  Find more information at:
                                                                                  Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
                                                                                  Find more libraries
                                                                                  Explore Kits - Develop, implement, customize Projects, Custom Functions and Applications with kandi kits​
                                                                                  Save this library and start creating your kit
                                                                                  CLONE
                                                                                • HTTPS

                                                                                  https://github.com/q191201771/lal.git

                                                                                • CLI

                                                                                  gh repo clone q191201771/lal

                                                                                • sshUrl

                                                                                  git@github.com:q191201771/lal.git

                                                                                • Share this Page

                                                                                  share link

                                                                                  Explore Related Topics

                                                                                  Consider Popular Video Utils Libraries

                                                                                  obs-studio

                                                                                  by obsproject

                                                                                  video.js

                                                                                  by videojs

                                                                                  ijkplayer

                                                                                  by bilibili

                                                                                  FFmpeg

                                                                                  by FFmpeg

                                                                                  iina

                                                                                  by iina

                                                                                  Try Top Libraries by q191201771

                                                                                  naza

                                                                                  by q191201771Go

                                                                                  libchef

                                                                                  by q191201771C++

                                                                                  nazaext

                                                                                  by q191201771Go

                                                                                  pprofplus

                                                                                  by q191201771Go

                                                                                  yet

                                                                                  by q191201771C++

                                                                                  Compare Video Utils Libraries with Highest Support

                                                                                  obs-studio

                                                                                  by obsproject

                                                                                  video.js

                                                                                  by videojs

                                                                                  bigbluebutton

                                                                                  by bigbluebutton

                                                                                  mpv

                                                                                  by mpv-player

                                                                                  jitsi-meet

                                                                                  by jitsi

                                                                                  Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
                                                                                  Find more libraries
                                                                                  Explore Kits - Develop, implement, customize Projects, Custom Functions and Applications with kandi kits​
                                                                                  Save this library and start creating your kit