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update Scala doc (#4055)

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* Update develop.md

* update scala/pom.xml
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Xin Qiu 2022-02-18 10:38:24 +08:00 committed by GitHub
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docs/readthedocs/source/doc/UserGuide/develop.md
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@ -96,7 +96,7 @@ The above environment variables should be available when running or debugging co
#### **2.1 Build** #### **2.1 Build**
Maven 3 is needed to build Analytics Zoo, you can download it from the [maven website](https://maven.apache.org/download.cgi). Maven 3 is needed to build BigDL, you can download it from the [maven website](https://maven.apache.org/download.cgi).
After installing Maven 3, please set the environment variable MAVEN_OPTS as follows: After installing Maven 3, please set the environment variable MAVEN_OPTS as follows:
```bash ```bash
@ -105,18 +105,19 @@ $ export MAVEN_OPTS="-Xmx2g -XX:ReservedCodeCacheSize=512m"
**Build using `make-dist.sh`** **Build using `make-dist.sh`**
It is highly recommended that you build Analytics Zoo using the [make-dist.sh script](https://github.com/intel-analytics/analytics-zoo/blob/master/make-dist.sh) with **Java 8**. It is highly recommended that you build BigDL using the [make-dist.sh script](https://github.com/intel-analytics/BigDL/blob/branch-2.0/scala/make-dist.sh) with **Java 8**.
You can build Analytics Zoo with the following commands: You can build BigDL with the following commands:
```bash ```bash
$ cd scala
$ bash make-dist.sh $ bash make-dist.sh
``` ```
After that, you can find a `dist` folder, which contains all the needed files to run a Analytics Zoo program. The files in `dist` include: After that, you can find a `dist` folder, which contains all the needed files to run a BigDL program. The files in `dist` include:
* **dist/lib/analytics-zoo-VERSION-jar-with-dependencies.jar**: This jar package contains all dependencies except Spark classes. * **dist/lib/bigdl-VERSION-jar-with-dependencies.jar**: This jar package contains all dependencies except Spark classes.
* **dist/lib/analytics-zoo-VERSION-python-api.zip**: This zip package contains all Python files of Analytics Zoo. * **dist/lib/bigdl-VERSION-python-api.zip**: This zip package contains all Python files of BigDL.
The instructions above will build Analytics Zoo with Spark 2.4.3. To build with other spark versions, for example building analytics-zoo with spark 2.2.0, you can use `bash make-dist.sh -Dspark.version=2.2.0 -Dbigdl.artifactId=bigdl_SPARK_2.2`. The instructions above will build BigDL with Spark 2.4.6. To build with other spark versions, for example building analytics-zoo with spark 2.2.0, you can use `bash make-dist.sh -Dspark.version=2.2.0`.
**Build with JDK 11** **Build with JDK 11**
@ -132,9 +133,9 @@ $ bash make-dist.sh -P spark_3.x -Djava.version=11 -Djavac.version=11
#### **2.2 IDE Setup** #### **2.2 IDE Setup**
Analytics Zoo uses maven to organize project. You should choose an IDE that supports Maven project and scala language. IntelliJ IDEA works fine for us. BigDL uses maven to organize project. You should choose an IDE that supports Maven project and scala language. IntelliJ IDEA works fine for us.
In IntelliJ, you can open Analytics Zoo project root directly, and the IDE will import the project automatically. In IntelliJ, you can open BigDL project root directly, and the IDE will import the project automatically. If not imported automatically, right click `scala/pom.xml` and choose `Add as Maven Project`.
We set the scopes of spark related libraries to `provided` in the maven pom.xml, which, however, will cause a problem in IDE (throwing `NoClassDefFoundError` when you run applications). You can easily change the scopes using the `all-in-one` profile. We set the scopes of spark related libraries to `provided` in the maven pom.xml, which, however, will cause a problem in IDE (throwing `NoClassDefFoundError` when you run applications). You can easily change the scopes using the `all-in-one` profile.