diff --git a/README.md b/README.md
index 84514d05d..d00a68094 100644
--- a/README.md
+++ b/README.md
@@ -1,9 +1,9 @@
[](https://joinup.ec.europa.eu/collection/eupl/eupl-text-eupl-12)
-
+
[](https://www.codacy.com/manual/valentino.pinna/VTL?utm_source=github.com&utm_medium=referral&utm_content=vpinna80/VTL&utm_campaign=Badge_Grade)
+[](https://app.codacy.com/gh/vpinna80/VTL/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_coverage)
-
# VTL E&E
@@ -47,9 +47,14 @@ Each artifact will be generated inside the `target` folder of each module.
The optional maven profiles allow you to build any of the provided VTL bundles for
the different front-ends capable of communicating with the VTL engine.
+### Spark support
+
If you want to build with support for the Spark evironment, activate the
-`with-spark` maven profile. Each bundle created with this build will contain the
-Spark environment.
+`with-spark` maven profile. Each bundle listed below created while this profile is
+active will contain the Spark environment (Note that the Spark libraries are not
+included in the bundle and must be made available at runtime in your CLASSPATH).
+
+### SDMX REST support
If you want to build with support for SDMX web services, activate the
`with-sdmx` maven profile. Each bundle created with this build will contain the support
@@ -58,32 +63,48 @@ for interacting with a SDMX registry. Note that this requires that the
in the local repository, because the artifacts are distributed only in source form
by the Bank of International Settlements.
+### Jupyter notebook kernel
+
+If you want to build the Jupyter notebook kernel along with the engine, also activate the
+`with-jupyter` maven profile. The java-native jupyter kernel will be packaged as an
+executable jar that can be installed into your jupyter with the command
+`java -jar vtl-jupyter-x.x.x-complete.jar`. Please make sure that your Python environment
+is able to launch java, and that java version requirement is satisfied.
+
+### RVTL and VTL Studio
+
If you want to build the editor and the R package along with the engine, activate the
-`with-r` maven profile. You may need to configure your internet connection in
-Maven settings; you also need to install the REngine.jar artifact into your local repository.
-It can be done with the following command:
+`with-r` maven profile. Before you do that, make sure to install `rJava` package in your
+R installation. Then you may need to configure your internet connection in Maven settings
+in order to download Node.js and npm packages. You will also need to install `REngine.jar`
+into your local maven repository. It can be done with the following command:
```
+Un*x:
mvn install:install-file -DgroupId=org.rosuda.JRI -DartifactId=Rengine -Dversion=$R_VERSION file=$R_LIBRARY/java/jri/REngine.jar
+
+Windows
+mvn install:install-file -DgroupId=org.rosuda.JRI -DartifactId=Rengine -Dversion=%R_VERSION% file=%R_LIBRARY%/java/jri/REngine.jar
```
+Please set the environment variables `R_VERSION` and `R_LIBRARY` accordingly
+to your environment settings, or directly replace them in the command above.
The R package, ready for installation in R (with install.packages),
-will be located there. Moreover, each artifact you build will have support for the R
-environment.
+will be located there. Moreover, each bundle created while this profile is
+active will contain support for the R environment.
+
+### Web API for VTL Engine
If you want to build the RESTful web services for VTL along with the engine, activate the
`with-rest` maven profile. A WAR file ready to be deployed in your application server
will be packaged during the `package` maven lifecycle phase in your build.
+### Command-line interface for VTL Engine
+
If you want to build the command line interface to VTL along with the engine, activate the
`with-cli` maven profile. An executable JAR file ready to be deployed in your platform
will be packaged during the `package` maven lifecycle phase in your build.
-If you want to build the Jupyter notebook kernel along with the engine, also activate the
-`with-jupyter` maven profile. The java-native jupyter kernel will be packaged as an
-executable jar that can be installed into your jupyter with the command
-`java -jar vtl-jupyter-x.x.x-complete.jar`.
-
## Project Status
The Project is an ongoing development effort at Bank of Italy, with the
@@ -144,41 +165,3 @@ The following table shows the current implementation status:
| timeagg | ✘ | ✘ | ✘ |
| current_date | ✔ | | ✔ |
| union | | ✔ | |
-| intersect | | ✔ | |
-| setdiff | | ✔ | |
-| symdiff | | ✔ | |
-| hierarchy | | ✔ | |
-| count | | ✔ | ✔ |
-| min | | ✔ | ✔ |
-| max | | ✔ | ✔ |
-| median | | ✔ | ✔ |
-| sum | | ✔ | ✔ |
-| avg | | ✔ | ✔ |
-| stddev_pop | | ✔ | ✔ |
-| stddev_samp | | ✔ | ✔ |
-| var_pop | | ✔ | ✔ |
-| var_samp | | ✔ | ✔ |
-| first_value | | ✔ | ✔ |
-| last_value | | ✔ | ✔ |
-| lag | | ✔ | ✔ |
-| lead | | ✔ | ✔ |
-| rank | | ✔ | ✔ |
-| ratio_to_report | | ✔ | ✔ |
-| check_datapoint | | ✘ | |
-| check_hierarchy | | ✘ | |
-| check | | ✔ | |
-| if-then-else | ✘ | ✔ | ✔ |
-| nvl | ✘ | | ✔ |
-| filter | | | ✔ |
-| calc | | | ✔ |
-| aggr | | | ✔ |
-| keep/drop | | | ✔ |
-| rename | | | ✔ |
-| pivot | | | ✔ |
-| unpivot | | | ✔ |
-| sub | | | ✔ |
-## Copyright notice
-
-This software is a copyright of Bank of Italy, inc. 2019.
-The software is distributed under the European Public Licence v1.2.
-This software is optimized using [JProfiler](https://www.ej-technologies.com/products/jprofiler/overview.html).