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jackson-datatypes-collections | Jackson project that contains various collection | JSON Processing library

 by   FasterXML Java Version: 2.14.1 License: Apache-2.0

 by   FasterXML Java Version: 2.14.1 License: Apache-2.0

kandi X-RAY | jackson-datatypes-collections Summary

jackson-datatypes-collections is a Java library typically used in Utilities, JSON Processing, JPA applications. jackson-datatypes-collections has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.
This is a multi-module umbrella project for various Jackson Datatype modules to support 3rd party Collection libraries.
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Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • jackson-datatypes-collections has a low active ecosystem.
  • It has 65 star(s) with 46 fork(s). There are 11 watchers for this library.
  • There were 6 major release(s) in the last 6 months.
  • There are 14 open issues and 46 have been closed. On average issues are closed in 208 days. There are 1 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of jackson-datatypes-collections is 2.14.1
This Library - Support
Best in #JSON Processing
Average in #JSON Processing
This Library - Support
Best in #JSON Processing
Average in #JSON Processing

quality kandi Quality

  • jackson-datatypes-collections has 0 bugs and 0 code smells.
This Library - Quality
Best in #JSON Processing
Average in #JSON Processing
This Library - Quality
Best in #JSON Processing
Average in #JSON Processing

securitySecurity

  • jackson-datatypes-collections has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • jackson-datatypes-collections code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
This Library - Security
Best in #JSON Processing
Average in #JSON Processing
This Library - Security
Best in #JSON Processing
Average in #JSON Processing

license License

  • jackson-datatypes-collections 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.
This Library - License
Best in #JSON Processing
Average in #JSON Processing
This Library - License
Best in #JSON Processing
Average in #JSON Processing

buildReuse

  • jackson-datatypes-collections releases are not available. You will need to build from source code and install.
  • 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.
  • jackson-datatypes-collections saves you 875126 person hours of effort in developing the same functionality from scratch.
  • It has 528262 lines of code, 1109 functions and 2614 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
This Library - Reuse
Best in #JSON Processing
Average in #JSON Processing
This Library - Reuse
Best in #JSON Processing
Average in #JSON Processing
Top functions reviewed by kandi - BETA

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

  • Find the appropriate ValueInstantiator for the given bean type
    • Creates an instance of the primitive type factory
    • Create a ValueInstantiator for the given type using the given factory
  • Serializes the CharIterable with the given type
    • Writes the contents of the CharIterable as an array
  • Serializes the map iterable with the type suffix
    • Serialize the fields
  • Starts the maven wrapper
    • Downloads a file from an URL
  • Deserialize a JSON value
    • Add the context
      • Finds the serializer for the given type
        • Serialize the value
          • Returns the actual serializer for this bean
            • Overrides default implementation
              • Creates a pure primitive instance factory for the given pair class
                • Serializes the CharIterable
                  • Serialize the contents of the wrapped object
                    • Gets the contextual value
                      • Serialize the given ByteIterable with the type suffix
                        • Serialize the array with the given type suffix
                          • Returns the contextual serializer for the bean
                            • Creates the contextual value handler

                              Get all kandi verified functions for this library.

                              Get all kandi verified functions for this library.

                              jackson-datatypes-collections Key Features

                              Eclipse Collections datatype (for Eclipse Collections): jackson-datatype-eclipse-collections (since 2.10)

                              Guava datatype (for Guava library): jackson-datatype-guava

                              HPPC datatype (for High-Performance Primitive Collections): jackson-datatype-hppc

                              PCollections datatype (for Persistent Java Collections): jackson-datatype-pcollections

                              jackson-datatypes-collections Examples and Code Snippets

                              See all related Code Snippets

                              Community Discussions

                              Trending Discussions on JSON Processing
                              • st_read path for shinyapp in R
                              • How to write jsonb inside WHERE without JSON Processing Functions
                              • Renumerating indexed JSON
                              • How to get values from array of JSON in C#
                              • SSIS Script Task Fails with NewtonSoft.Json
                              • Is there an automated way to split a JSON(B) column into multiple columns in PostgreSQL?
                              • Register Java Class in Flink Cluster
                              • A simple way to parse XML with repeated element using Jackson
                              • Shiny.io cannot deploy the application
                              • How to deploy shiny app to shinyapps.io from drake plan
                              Trending Discussions on JSON Processing

                              QUESTION

                              st_read path for shinyapp in R

                              Asked 2021-Oct-03 at 00:33

                              Usually when st_read is used you put path in dsn, but in case of shiny if you put a full path inside dsn it will give an error as that file path does not exist on the server. So, now I put the shapefile in the www folder, but I don't know what path to put in dsn so that the app picks up the shapefile.

                              How can I fix this?

                              Current function code in the app:

                              rocks_utm_sf = st_read(dsn = "D:/Sedimentary_Data_Analysis/www",layer = "Sed_UTM")
                              

                              Below error in the log breaks the app

                                  021-10-02T19:05:08.733697+00:00 shinyapps[4783188]: Server version: 1.8.6.1
                              2021-10-02T19:05:08.733707+00:00 shinyapps[4783188]: R version: 4.0.2
                              2021-10-02T19:05:08.733705+00:00 shinyapps[4783188]: LANG: en_US.UTF-8
                              2021-10-02T19:05:08.725767+00:00 shinyapps[4783188]: Running on host: 52b53ce9aed0
                              2021-10-02T19:05:08.733716+00:00 shinyapps[4783188]: shiny version: 1.6.0
                              2021-10-02T19:05:08.733732+00:00 shinyapps[4783188]: httpuv version: 1.6.1
                              2021-10-02T19:05:08.931183+00:00 shinyapps[4783188]: Using jsonlite for JSON processing
                              2021-10-02T19:05:08.934357+00:00 shinyapps[4783188]: 
                              2021-10-02T19:05:08.733977+00:00 shinyapps[4783188]: Using pandoc: /opt/connect/ext/pandoc/2.11
                              2021-10-02T19:05:08.733739+00:00 shinyapps[4783188]: rmarkdown version: 2.9
                              2021-10-02T19:05:08.733790+00:00 shinyapps[4783188]: jsonlite version: 1.7.2
                              2021-10-02T19:05:08.934357+00:00 shinyapps[4783188]: Starting R with process ID: '26'
                              2021-10-02T19:05:08.733779+00:00 shinyapps[4783188]: knitr version: 1.33
                              2021-10-02T19:05:08.963216+00:00 shinyapps[4783188]: 
                              2021-10-02T19:05:08.733791+00:00 shinyapps[4783188]: RJSONIO version: (none)
                              2021-10-02T19:05:08.733797+00:00 shinyapps[4783188]: htmltools version: 0.5.1.1
                              2021-10-02T19:05:08.963841+00:00 shinyapps[4783188]:     box
                              2021-10-02T19:05:08.963217+00:00 shinyapps[4783188]: 
                              2021-10-02T19:05:08.963840+00:00 shinyapps[4783188]: The following object is masked from ‘package:graphics’:
                              2021-10-02T19:05:08.963840+00:00 shinyapps[4783188]: 
                              2021-10-02T19:05:08.963217+00:00 shinyapps[4783188]: Attaching package: ‘shinydashboard’
                              2021-10-02T19:05:08.963841+00:00 shinyapps[4783188]: 
                              2021-10-02T19:05:10.008023+00:00 shinyapps[4783188]: ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
                              2021-10-02T19:05:10.013142+00:00 shinyapps[4783188]: ✔ ggplot2 3.3.5     ✔ purrr   0.3.4
                              2021-10-02T19:05:10.013143+00:00 shinyapps[4783188]: ✔ tibble  3.1.3     ✔ dplyr   1.0.7
                              2021-10-02T19:05:10.013144+00:00 shinyapps[4783188]: ✔ tidyr   1.1.3     ✔ stringr 1.4.0
                              2021-10-02T19:05:10.194146+00:00 shinyapps[4783188]: ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
                              2021-10-02T19:05:10.194148+00:00 shinyapps[4783188]: ✖ dplyr::lag()    masks stats::lag()
                              2021-10-02T19:05:10.013144+00:00 shinyapps[4783188]: ✔ readr   2.0.0     ✔ forcats 0.5.1
                              2021-10-02T19:05:10.194148+00:00 shinyapps[4783188]: ✖ dplyr::filter() masks stats::filter()
                              2021-10-02T19:05:10.415161+00:00 shinyapps[4783188]: Linking to GEOS 3.8.0, GDAL 3.0.4, PROJ 6.3.1
                              2021-10-02T19:05:10.464817+00:00 shinyapps[4783188]: Listening on http://127.0.0.1:44842
                              2021-10-02T19:05:10.464815+00:00 shinyapps[4783188]: 
                              2021-10-02T19:05:16.625537+00:00 shinyapps[4783188]: Warning: Error in : Cannot open "D:/Sedimentary_Data_Analysis/www"; The file doesn't seem to exist.
                              2021-10-02T19:05:16.630916+00:00 shinyapps[4783188]:   113: <Anonymous>
                              

                              ANSWER

                              Answered 2021-Oct-03 at 00:33

                              Thanks to Guillaumme for his comment, so I was able to fix the problem by first moving the shiny app to a R project. Then in the app code write st_read as follows, and the app is able to pick up the shapefile when its published on shinyapps.io.

                               sf_object = st_read(dsn = "www", layer = "Name") 
                              

                              Source https://stackoverflow.com/questions/69415642

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

                              Vulnerabilities

                              No vulnerabilities reported

                              Install jackson-datatypes-collections

                              You can download it from GitHub, Maven.
                              You can use jackson-datatypes-collections like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the jackson-datatypes-collections component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

                              Support

                              For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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                              Install
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                              • https://github.com/FasterXML/jackson-datatypes-collections.git

                              • gh repo clone FasterXML/jackson-datatypes-collections

                              • git@github.com:FasterXML/jackson-datatypes-collections.git

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