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dubbo | Apache Dubbo is a highperformance, java based | Messaging library

 by   apache Java Version: dubbo-3.0.7 License: Apache-2.0

 by   apache Java Version: dubbo-3.0.7 License: Apache-2.0

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kandi X-RAY | dubbo Summary

dubbo is a Java library typically used in Messaging applications. dubbo has no bugs, it has build file available, it has a Permissive License and it has medium support. However dubbo has 11 vulnerabilities. You can download it from GitHub, Maven.
Apache Dubbo is a high-performance, Java-based open-source RPC framework. Please visit the official site for the quick start guide and documentation, as well as the wiki for news, FAQ, and release notes. We are now collecting Dubbo user info to help us to improve Dubbo further. Kindly support us by providing your usage information on issue#9436: Wanted: who's using dubbo, thanks :).
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Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • dubbo has a medium active ecosystem.
  • It has 37142 star(s) with 24908 fork(s). There are 3128 watchers for this library.
  • There were 2 major release(s) in the last 6 months.
  • There are 353 open issues and 4765 have been closed. On average issues are closed in 59 days. There are 18 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of dubbo is dubbo-3.0.7
dubbo Support
Best in #Messaging
Average in #Messaging
dubbo Support
Best in #Messaging
Average in #Messaging

quality kandi Quality

  • dubbo has 0 bugs and 0 code smells.
dubbo Quality
Best in #Messaging
Average in #Messaging
dubbo Quality
Best in #Messaging
Average in #Messaging

securitySecurity

  • dubbo has 11 vulnerability issues reported (10 critical, 1 high, 0 medium, 0 low).
  • dubbo code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
dubbo Security
Best in #Messaging
Average in #Messaging
dubbo Security
Best in #Messaging
Average in #Messaging

license License

  • dubbo is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
dubbo License
Best in #Messaging
Average in #Messaging
dubbo License
Best in #Messaging
Average in #Messaging

buildReuse

  • dubbo releases are available to install and integrate.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
  • dubbo saves you 180287 person hours of effort in developing the same functionality from scratch.
  • It has 208440 lines of code, 19968 functions and 2952 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
dubbo Reuse
Best in #Messaging
Average in #Messaging
dubbo Reuse
Best in #Messaging
Average in #Messaging
Top functions reviewed by kandi - BETA

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

  • Convert a value to a primitive type .
  • Creates a wrapper for a class
  • Register a reference bean with the given member .
  • Checks if the method needs to be wrapped .
  • Creates a mixin from the given interfaces .
  • Handles a POST request .
  • Add parameters .
  • Encode response .
  • Converts header to table
  • Deserialize all items .

dubbo Key Features

Transparent interface based RPC

Intelligent load balancing

Automatic service registration and discovery

High extensibility

Runtime traffic routing

Visualized service governance

Getting started

copy iconCopydownload iconDownload
# git clone https://github.com/apache/dubbo-samples.git
# cd dubbo-samples/dubbo-samples-api

Maven dependency

copy iconCopydownload iconDownload
<properties>
    <dubbo.version>3.0.5</dubbo.version>
</properties>

<dependencies>
    <dependency>
        <groupId>org.apache.dubbo</groupId>
        <artifactId>dubbo</artifactId>
        <version>${dubbo.version}</version>
    </dependency>
    <dependency>
        <groupId>org.apache.dubbo</groupId>
        <artifactId>dubbo-dependencies-zookeeper</artifactId>
        <version>${dubbo.version}</version>
        <type>pom</type>
    </dependency>
</dependencies>

Define service interfaces

copy iconCopydownload iconDownload
package org.apache.dubbo.samples.api;

public interface GreetingsService {
    String sayHi(String name);
}

Implement service interface for the provider

copy iconCopydownload iconDownload
package org.apache.dubbo.samples.provider;

import org.apache.dubbo.samples.api.GreetingsService;

public class GreetingsServiceImpl implements GreetingsService {
    @Override
    public String sayHi(String name) {
        return "hi, " + name;
    }
}

Start service provider

copy iconCopydownload iconDownload
package org.apache.dubbo.samples.provider;


import org.apache.dubbo.config.ApplicationConfig;
import org.apache.dubbo.config.RegistryConfig;
import org.apache.dubbo.config.ServiceConfig;
import org.apache.dubbo.samples.api.GreetingsService;

import java.util.concurrent.CountDownLatch;

public class Application {
    private static String zookeeperHost = System.getProperty("zookeeper.address", "127.0.0.1");

    public static void main(String[] args) throws Exception {
        ServiceConfig<GreetingsService> service = new ServiceConfig<>();
        service.setApplication(new ApplicationConfig("first-dubbo-provider"));
        service.setRegistry(new RegistryConfig("zookeeper://" + zookeeperHost + ":2181"));
        service.setInterface(GreetingsService.class);
        service.setRef(new GreetingsServiceImpl());
        service.export();

        System.out.println("dubbo service started");
        new CountDownLatch(1).await();
    }
}

Build and run the provider

copy iconCopydownload iconDownload
# mvn clean package
# mvn -Djava.net.preferIPv4Stack=true -Dexec.mainClass=org.apache.dubbo.samples.provider.Application exec:java

Call remote service in the consumer

copy iconCopydownload iconDownload
package org.apache.dubbo.samples.client;


import org.apache.dubbo.config.ApplicationConfig;
import org.apache.dubbo.config.ReferenceConfig;
import org.apache.dubbo.config.RegistryConfig;
import org.apache.dubbo.samples.api.GreetingsService;

public class Application {
    private static String zookeeperHost = System.getProperty("zookeeper.address", "127.0.0.1");

    public static void main(String[] args) {
        ReferenceConfig<GreetingsService> reference = new ReferenceConfig<>();
        reference.setApplication(new ApplicationConfig("first-dubbo-consumer"));
        reference.setRegistry(new RegistryConfig("zookeeper://" + zookeeperHost + ":2181"));
        reference.setInterface(GreetingsService.class);
        GreetingsService service = reference.get();
        String message = service.sayHi("dubbo");
        System.out.println(message);
    }
}

Build and run the consumer

copy iconCopydownload iconDownload
# mvn clean package
# mvn -Djava.net.preferIPv4Stack=true -Dexec.mainClass=org.apache.dubbo.samples.client.Application exec:java

Building

copy iconCopydownload iconDownload
  mvn clean install

JQ move(or copy) key value pairs to another object if a key/value pair meets condition in that object

copy iconCopydownload iconDownload
jq '
  [
    JOIN(
      INDEX(.[].cells; .[] | select(.columnId == 7408953102493572).displayValue);
      input[];
      .cells[] | select(.columnId == 5460306864433028).displayValue;
      (.[0].cells[] | select(.columnId == 5206337428711300)) += try
        (.[1][] | select(.columnId == 5822630258337668) | del(.Column, .columnId))
    )[0]
  ]
' from.json to.json
[
  {
    "id": 977325251291012,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300,
        "value": "Dd Kk",
        "displayValue": "Dd Kk link",
        "hyperlink": {
          "url": "https://app.test.com/fvffvs/dfesfrfr"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 6836472364722052,
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        }
      },
      {
        "columnId": 5460306864433028,
        "value": "Dd Kk",
        "displayValue": "Dd Kk"
      }
    ]
  },
  {
    "id": 5480924878661508,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300,
        "displayValue": "Macquarie Education Programs Building - J-10005",
        "hyperlink": {
          "url": "https://app.test.com/jnjnnlkm/fvfbsfbfgvdsfe"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 4795289157298052,
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        },
        "value": "Macquarie Education Programs - J-10005"
      },
      {
        "columnId": 5460306864433028,
        "value": "Macquarie Education Programs",
        "displayValue": "Macquarie Education Programs"
      }
    ]
  }
]
-----------------------
jq '
  [
    JOIN(
      INDEX(.[].cells; .[] | select(.columnId == 7408953102493572).displayValue);
      input[];
      .cells[] | select(.columnId == 5460306864433028).displayValue;
      (.[0].cells[] | select(.columnId == 5206337428711300)) += try
        (.[1][] | select(.columnId == 5822630258337668) | del(.Column, .columnId))
    )[0]
  ]
' from.json to.json
[
  {
    "id": 977325251291012,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300,
        "value": "Dd Kk",
        "displayValue": "Dd Kk link",
        "hyperlink": {
          "url": "https://app.test.com/fvffvs/dfesfrfr"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 6836472364722052,
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        }
      },
      {
        "columnId": 5460306864433028,
        "value": "Dd Kk",
        "displayValue": "Dd Kk"
      }
    ]
  },
  {
    "id": 5480924878661508,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300,
        "displayValue": "Macquarie Education Programs Building - J-10005",
        "hyperlink": {
          "url": "https://app.test.com/jnjnnlkm/fvfbsfbfgvdsfe"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 4795289157298052,
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        },
        "value": "Macquarie Education Programs - J-10005"
      },
      {
        "columnId": 5460306864433028,
        "value": "Macquarie Education Programs",
        "displayValue": "Macquarie Education Programs"
      }
    ]
  }
]

How to restructure an array from the array itself?

copy iconCopydownload iconDownload
const data = [{
  "Id": 1891,
  "AirportCode": "DUB",
  "AirportName": "Dublin Airport",
  "AirportCity": "Dublin",
  "Priority": 1,
  "SubPriority": 0
}, {
  "Id": 1921,
  "AirportCode": "DXB",
  "AirportName": "Dubai International Airport",
  "AirportCity": "Dubai",
  "Priority": 1,
  "SubPriority": 0
}, {
  "Id": 1680,
  "AirportCode": "DBN",
  "AirportName": "Dublin Municipal Airport",
  "AirportCity": "Dublin",
  "Priority": 2,
  "SubPriority": 1
}, {
  "Id": 8973,
  "AirportCode": "XNB",
  "AirportName": "United Arab Emirates - Bus Station",
  "AirportCity": "Dubai",
  "Priority": 2,
  "SubPriority": 1
}, {
  "Id": 6062,
  "AirportCode": "PSK",
  "AirportName": "New River Valley Airport",
  "AirportCity": "Dublin",
  "Priority": 3,
  "SubPriority": 1
}, {
  "Id": 1681,
  "AirportCode": "DBO",
  "AirportName": "Dubbo Airport",
  "AirportCity": "Dubbo",
  "Priority": 99,
  "SubPriority": 0 // null - Inconsistent !!!
}];
const grouped = group(data);

window.result.innerHTML = JSON.stringify(grouped, null, 2);

function group(data){
  const [main, subs] = data.reduce(([main, subs], item) => {
    if (item.SubPriority === 0) {
      return [main.concat(item), subs];
    }
    const subList = subs.get(item.AirportCity) || [];
    subs.set(item.AirportCity, subList.concat(item));

    return [main, subs];
  }, [[], new Map()]);

  return main.map((item) => Object.assign(item, {SubAirport: subs.get(item.AirportCity) || []}));
}
<pre id="result"/>
-----------------------
const data = [{
  "Id": 1891,
  "AirportCode": "DUB",
  "AirportName": "Dublin Airport",
  "AirportCity": "Dublin",
  "Priority": 1,
  "SubPriority": 0
}, {
  "Id": 1921,
  "AirportCode": "DXB",
  "AirportName": "Dubai International Airport",
  "AirportCity": "Dubai",
  "Priority": 1,
  "SubPriority": 0
}, {
  "Id": 1680,
  "AirportCode": "DBN",
  "AirportName": "Dublin Municipal Airport",
  "AirportCity": "Dublin",
  "Priority": 2,
  "SubPriority": 1
}, {
  "Id": 8973,
  "AirportCode": "XNB",
  "AirportName": "United Arab Emirates - Bus Station",
  "AirportCity": "Dubai",
  "Priority": 2,
  "SubPriority": 1
}, {
  "Id": 6062,
  "AirportCode": "PSK",
  "AirportName": "New River Valley Airport",
  "AirportCity": "Dublin",
  "Priority": 3,
  "SubPriority": 1
}, {
  "Id": 1681,
  "AirportCode": "DBO",
  "AirportName": "Dubbo Airport",
  "AirportCity": "Dubbo",
  "Priority": 99,
  "SubPriority": 0 // null - Inconsistent !!!
}];
const grouped = group(data);

window.result.innerHTML = JSON.stringify(grouped, null, 2);

function group(data){
  const [main, subs] = data.reduce(([main, subs], item) => {
    if (item.SubPriority === 0) {
      return [main.concat(item), subs];
    }
    const subList = subs.get(item.AirportCity) || [];
    subs.set(item.AirportCity, subList.concat(item));

    return [main, subs];
  }, [[], new Map()]);

  return main.map((item) => Object.assign(item, {SubAirport: subs.get(item.AirportCity) || []}));
}
<pre id="result"/>
-----------------------
this.airports.sort((a,b)=>a.Priority-b.Priority) //sort by priority
    this.airports.forEach((x,index)=>{
      const airport=this.airports.find( //try find one more on top
          (a,index2)=>a.AirportCity==x.AirportCity && index>index2)
      if (airport) //if exist
      {
        if (!airport.SubAirport) //if has not SubAirport
            airport.SubAirport=[{...x}]  //create an array with one element
        else
          airport.SubAirport.push({...x}) //add to array

        x.remove=true; //mark as "removable"
      }

    })
    this.airports=this.airports.filter(x=>!x.remove) //<--remove the removable

Community Discussions

Trending Discussions on dubbo
  • JQ move(or copy) key value pairs to another object if a key/value pair meets condition in that object
  • Cannot resolve org.springframework.boot:spring-boot-autoconfigure:2.6.1 springboot | dubbo
  • How to restructure an array from the array itself?
Trending Discussions on dubbo

QUESTION

JQ move(or copy) key value pairs to another object if a key/value pair meets condition in that object

Asked 2022-Mar-30 at 10:03

I have two files, they are very large so I will give a snippet of relevant data:

from_file:

  [
    {
      "id": 7212486534162308,
      "rowNumber": 283,
      "cells": [
        {
          "Column": "SS name",
          "columnId": 7408953102493572,
          "displayValue": "Dd Kk",
          "linkInFromCell": {
            "status": "OK",
            "sheetId": 4409864198875012,
            "rowId": 5483738575202180,
            "columnId": 6482434207311748,
            "sheetName": "INFORMATION - J-1000579"
          },
          "value": "Dd Kk"
        },
        {
          "Column": "link",
          "columnId": 5822630258337668,
          "displayValue": "Dd Kk link",
          "hyperlink": {
            "url": "https://app.test.com/fvffvs/dfesfrfr"
          },
          "linkInFromCell": {
            "status": "OK",
            "sheetId": 316850291664772,
            "rowId": 6836472364722052,
            "columnId": 6189414452881284,
            "sheetName": "PROJECT INTAKE SHEET"
          },
          "value": "Dd Kk"
        }
      ]
    },
    {
      "id": 7046413570598788,
      "rowNumber": 284,
      "cells": [
        {
          "Column": "SS name",
          "columnId": 7408953102493572,
          "displayValue": "Macquarie Education Programs",
          "linkInFromCell": {
            "status": "OK",
            "sheetId": 8275059887368068,
            "rowId": 8307181892986756,
            "columnId": 687741640959876,
            "sheetName": "INFORMATION - J-1000532.01"
          },
          "value": "Macquarie Education Programs"
        },
        {
          "Column": "link",
          "columnId": 5822630258337668,
          "displayValue": "Macquarie Education Programs Building - J-10005",
          "hyperlink": {
            "url": "https://app.test.com/jnjnnlkm/fvfbsfbfgvdsfe"
          },
          "linkInFromCell": {
            "status": "OK",
            "sheetId": 316850291664772,
            "rowId": 4795289157298052,
            "columnId": 6189414452881284,
            "sheetName": "PROJECT INTAKE SHEET"
          },
          "value": "Macquarie Education Programs - J-10005"
        }
      ]
    }
  ]

to_file:

[
  {
    "id": 977325251291012,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300,
        "value": ""
      },
      {
        "columnId": 5460306864433028,
        "value": "Dd Kk",
        "displayValue": "Dd Kk"
      }
    ]
  },
  {
    "id": 5480924878661508,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300
      },
      {
        "columnId": 5460306864433028,
        "value": "Macquarie Education Programs",
        "displayValue": "Macquarie Education Programs"
      }
    ]
  }
]

in the to_file, inside each object that contains "columnId": 5206337428711300 I need to add all the key value pairs (except for "Column" and "columnId") from the from_file "columnId": 5822630258337668 containing object where that array of cell's "columnId": 7408953102493572 containing object has the same "displayValue" value as the to_file's "columnId": 5460306864433028 containing objects "displayValue" value.

desired outcome below:

[
  {
    "id": 977325251291012,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300,
        "displayValue": "Dd Kk link",
        "hyperlink": {
          "url": "https://app.test.com/fvffvs/dfesfrfr"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 6836472364722052, 
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        },
        "value": "Dd Kk"

      },
      {
        "columnId": 5460306864433028,
        "value": "Dd Kk",
        "displayValue": "Dd Kk"
      }
    ]
  },
  {
    "id": 5480924878661508,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300,
        "displayValue": "Macquarie Education Programs Building - J-10005",
        "hyperlink": {
          "url": "https://app.test.com/jnjnnlkm/fvfbsfbfgvdsfe"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 4795289157298052,
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        },
        "value": "Macquarie Education Programs - J-10005"
      },
      {
        "columnId": 5460306864433028,
        "value": "Macquarie Education Programs",
        "displayValue": "Macquarie Education Programs"
      }
    ]
  }
]

Thanks

@PMF answer below works but will fail if there is an item in the to_file that can't be found in the from file.

this works Demo

[
    {
    "id": 7660296628791172,
    "rowNumber": 484,
    "cells": [
      {
        "Column": "SS name",
        "columnId": 7408953102493572,
        "displayValue": "CSNSW",
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 3495076589528964,
          "rowId": 4453675823982468,
          "columnId": 6210919910926212,
          "sheetName": "INFORMATION - J-1000739.01"
        },
        "value": "CSNSW"
      },
      {
        "Column": "link",
        "columnId": 5822630258337668,
        "displayValue": "CSNSW - J-1000739.01",
        "hyperlink": {
          "url": "https://app.test.com/beffvfdcwe/ergrsvsrfv"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 3495076589528964,
          "rowId": 4655985963493252,
          "columnId": 6210919910926212,
          "sheetName": "INFORMATION - J-1000739.01"
        },
        "value": "CSNSW - J-1000739.01"
      }
    ]
  },
  {
    "id": 7212486534162308,
    "rowNumber": 283,
    "cells": [
      {
        "Column": "SS name",
        "columnId": 7408953102493572,
        "displayValue": "Dd Kk",
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 4409864198875012,
          "rowId": 5483738575202180,
          "columnId": 6482434207311748,
          "sheetName": "INFORMATION - J-1000579"
        },
        "value": "Dd Kk"
      },
      {
        "Column": "link",
        "columnId": 5822630258337668,
        "displayValue": "Dd Kk link",
        "hyperlink": {
          "url": "https://app.test.com/fvffvs/dfesfrfr"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 6836472364722052,
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        },
        "value": "Dd Kk"
      }
    ]
  },
  {
    "id": 7046413570598788,
    "rowNumber": 284,
    "cells": [
      {
        "Column": "SS name",
        "columnId": 7408953102493572,
        "displayValue": "Macquarie Education Programs",
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 8275059887368068,
          "rowId": 8307181892986756,
          "columnId": 687741640959876,
          "sheetName": "INFORMATION - J-1000532.01"
        },
        "value": "Macquarie Education Programs"
      },
      {
        "Column": "link",
        "columnId": 5822630258337668,
        "displayValue": "Macquarie Education Programs Building - J-10005",
        "hyperlink": {
          "url": "https://app.test.com/jnjnnlkm/fvfbsfbfgvdsfe"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 4795289157298052,
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        },
        "value": "Macquarie Education Programs - J-10005"
      }
    ]
  }
]
[
  {
    "id": 977325251291012,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300,
        "value": ""
      },
      {
        "columnId": 5460306864433028,
        "value": "Dd Kk",
        "displayValue": "Dd Kk"
      }
    ]
  },
  {
    "id": 5480924878661508,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300
      },
      {
        "columnId": 5460306864433028,
        "value": "Macquarie Education Programs",
        "displayValue": "Macquarie Education Programs"
      }
    ]
  }
]

this doesn't work Demo

[
    {
    "id": 7660296628791172,
    "rowNumber": 484,
    "cells": [
      {
        "Column": "SS name",
        "columnId": 7408953102493572,
        "displayValue": "CSNSW",
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 3495076589528964,
          "rowId": 4453675823982468,
          "columnId": 6210919910926212,
          "sheetName": "INFORMATION - J-1000739.01"
        },
        "value": "CSNSW"
      },
      {
        "Column": "link",
        "columnId": 5822630258337668,
        "displayValue": "CSNSW - J-1000739.01",
        "hyperlink": {
          "url": "https://app.test.com/beffvfdcwe/ergrsvsrfv"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 3495076589528964,
          "rowId": 4655985963493252,
          "columnId": 6210919910926212,
          "sheetName": "INFORMATION - J-1000739.01"
        },
        "value": "CSNSW - J-1000739.01"
      }
    ]
  },
  {
    "id": 7212486534162308,
    "rowNumber": 283,
    "cells": [
      {
        "Column": "SS name",
        "columnId": 7408953102493572,
        "displayValue": "Dd Kk",
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 4409864198875012,
          "rowId": 5483738575202180,
          "columnId": 6482434207311748,
          "sheetName": "INFORMATION - J-1000579"
        },
        "value": "Dd Kk"
      },
      {
        "Column": "link",
        "columnId": 5822630258337668,
        "displayValue": "Dd Kk link",
        "hyperlink": {
          "url": "https://app.test.com/fvffvs/dfesfrfr"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 6836472364722052,
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        },
        "value": "Dd Kk"
      }
    ]
  },
  {
    "id": 7046413570598788,
    "rowNumber": 284,
    "cells": [
      {
        "Column": "SS name",
        "columnId": 7408953102493572,
        "displayValue": "Macquarie Education Programs",
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 8275059887368068,
          "rowId": 8307181892986756,
          "columnId": 687741640959876,
          "sheetName": "INFORMATION - J-1000532.01"
        },
        "value": "Macquarie Education Programs"
      },
      {
        "Column": "link",
        "columnId": 5822630258337668,
        "displayValue": "Macquarie Education Programs Building - J-10005",
        "hyperlink": {
          "url": "https://app.test.com/jnjnnlkm/fvfbsfbfgvdsfe"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 4795289157298052,
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        },
        "value": "Macquarie Education Programs - J-10005"
      }
    ]
  }
]
[
  {
    "id": 977325251291012,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300,
        "value": ""
      },
      {
        "columnId": 5460306864433028,
        "value": "Dd Kk",
        "displayValue": "Dd Kk"
      }
    ]
  },
  {
    "id": 5480924878661508,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300
      },
      {
        "columnId": 5460306864433028,
        "value": "Macquarie Education Programs",
        "displayValue": "Macquarie Education Programs"
      }
    ]
  },
  {
    "id": 7276986526263172,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300
      },
      {
        "columnId": 5460306864433028,
        "value": "Dubbo",
        "displayValue": "Dubbo"
      }      
    ]
  }
]

Thanks!!

ANSWER

Answered 2022-Mar-30 at 10:03

You could build an INDEX on a matching displayValue, and then JOIN the arrays by updating += the right object in to.json with the corresponding object in from.json:

FIXED: Using try in the join update prevents from failing if the matching is not complete.

jq '
  [
    JOIN(
      INDEX(.[].cells; .[] | select(.columnId == 7408953102493572).displayValue);
      input[];
      .cells[] | select(.columnId == 5460306864433028).displayValue;
      (.[0].cells[] | select(.columnId == 5206337428711300)) += try
        (.[1][] | select(.columnId == 5822630258337668) | del(.Column, .columnId))
    )[0]
  ]
' from.json to.json
[
  {
    "id": 977325251291012,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300,
        "value": "Dd Kk",
        "displayValue": "Dd Kk link",
        "hyperlink": {
          "url": "https://app.test.com/fvffvs/dfesfrfr"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 6836472364722052,
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        }
      },
      {
        "columnId": 5460306864433028,
        "value": "Dd Kk",
        "displayValue": "Dd Kk"
      }
    ]
  },
  {
    "id": 5480924878661508,
    "cells": [
      {
        "columnId": 2040705442965380,
        "value": true
      },
      {
        "columnId": 5206337428711300,
        "displayValue": "Macquarie Education Programs Building - J-10005",
        "hyperlink": {
          "url": "https://app.test.com/jnjnnlkm/fvfbsfbfgvdsfe"
        },
        "linkInFromCell": {
          "status": "OK",
          "sheetId": 316850291664772,
          "rowId": 4795289157298052,
          "columnId": 6189414452881284,
          "sheetName": "PROJECT INTAKE SHEET"
        },
        "value": "Macquarie Education Programs - J-10005"
      },
      {
        "columnId": 5460306864433028,
        "value": "Macquarie Education Programs",
        "displayValue": "Macquarie Education Programs"
      }
    ]
  }
]

Source https://stackoverflow.com/questions/71670051

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

Vulnerabilities

No vulnerabilities reported

Install dubbo

The following code snippet comes from Dubbo Samples. You may clone the sample project and step into the dubbo-samples-api subdirectory before proceeding.
The consumer will print out hi, dubbo on the screen.

Support

Mailing list: dev list: for dev/user discussion. subscribe, unsubscribe, archive, guideBugs: IssuesGitter: Gitter channelTwitter: @ApacheDubbo

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