kandi X-RAY | phive Summary
kandi X-RAY | phive Summary
A generic document validation engine originally developed for Peppol but now also supporting many other document types. The original name was "ph-bdve" but because it was so difficult to pronounce, it was decided to change the name to "phive" which is an abbreviation of "Philip Helger Integrative Validation Engine" and is pronounced exactly like the digit 5: [ˈfaɪv]. The old name of the repository was "ph-bdve". This project only contains the validation engine - all the preconfigured rules are available at This project is licensed under the Apache 2 license. A live version of this engine can be found on Peppol Practical and at ecosio.
Top functions reviewed by kandi - BETA
- Convert the passed VOM to VOM
- Create the executor for the provided VOM atom
- Validate the provided namespaces
- Validate the passed schematron
- Performs a Schematron validation on the given source document
- Create a Schematron resource
- Apply the passed validation
- Get the validation source as a transform source object
- Adds a single global error to the response
- Get the JSON error level for the passed error level
- Compare the vesID with this VESID
- Ensure item is in cache
- Get all errors
- Unregister a validation executor set
- Compares this set for equality
- Perform a fast validation
- Compares this object with another object
- Compares this object for equality
- Create validation executors
- Get the JSON error location for the passed location
- Register an existing validation executor set
- Get the validation executor set from the provided registry
- Create a derived VES from a VES
- Execute the passed validation on the source
- Builds the response object
- Adds the results of a full validation to a JSON object
phive Key Features
phive Examples and Code Snippets
final ValidationExecutorSetRegistry aVESRegistry = new ValidationExecutorSetRegistry<> (); PeppolValidation.initStandard (aVESRegistry); return aVESRegistry; // Resolve the VES ID final IValidationExecutorSet aVES = aVESRe
com.helger.phive phive-engine x.y.z ```xml If you are interested in the JSON binding you may also include this artefact. ```xml com.helger.phive phive-json x.y.z com.helger.phive phive-parent-pom x.y.z pom import
Trending Discussions on phive
While running the Pimcore6.9 along with the symfony4.4 I had spotted some warnings:
The MimetypeGuesser is depricated since symfony4.3 use MimeTypes instead.
ANSWERAnswered 2021-May-21 at 16:23
composer.json already lists
symfony/symfony as a required package. This contains
symfony/mime - as long as you are using Symfony v4.3 or later. The MIME component did not exist before that.
ANSWERAnswered 2020-Sep-20 at 10:28
Git is tracking your
vendor directory. Try to remove that from from index.
To stop tracking you need to remove the folder from index.
git rm -r --cached vendor
This will not delete anything that is saved in the working directory.
I read answer from How to debug Spark application locally?, here is my situation:
win10 + spark 2.3.2(compile using
mvn -Pyarn -Phadoop-2.7 -Dhadoop.version=2.7.3 -Phive -Phive-thriftserver -DskipTests clean package) , a hadoop cluster from docker, I execute command in spark's bin directory using cmd:
ANSWERAnswered 2020-Mar-25 at 15:36
The answer I mentioned is not complete:"--conf spark.driver.extraJavaOptions=-agentlib:jdwp.." only for client mode(at least in spark 2.3.2).
If you look carefully at my question: the --conf parameter passed to spark-submit also appear as --conf parameter in java command. It needs to append
directly to java command. Here is my solution,put below in spark-env.cmd(windows):
I've been trying to build a custom Spark build with a custom built Hadoop (I need to apply a patch to Hadoop 2.9.1 that allows me to use S3Guard on paths that start with
Here is how I build spark, after cloning it and being on Spark 2.3.1 on my
ANSWERAnswered 2019-Jan-16 at 11:05
For custom hadoop versions, you need to get your own artifacts onto the local machines, and into the spark tar file which is distributed round the cluster (usually in HDFS), and downloaded when the workers are deployed (in YARN; no idea about k8s)
The best way to do this reliably is to locally build a hadoop release with a new version number, and build spark against that.
No vulnerabilities reported
You can use phive 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 phive 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 .
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