### Resume
When users use spark load, they have to upload the dependent jars to hdfs every time.
This cl will add a self-generated repository under working_dir folder in hdfs for saving dependecies of spark dpp programe and spark platform.
Note that, the dependcies we upload to repository include:
1、`spark-dpp.jar`
2、`spark2x.zip`
1 is the dpp library which built with spark-dpp submodule. See details about spark-dpp submodule in pr #4146 .
2 is the spark2.x.x platform library which contains all jars in $SPARK_HOME/jars
**The repository structure** will be like this:
```
__spark_repository__/
|-__archive_1_0_0/
| |-__lib_990325d2c0d1d5e45bf675e54e44fb16_spark-dpp.jar
| |-__lib_7670c29daf535efe3c9b923f778f61fc_spark-2x.zip
|-__archive_2_2_0/
| |-__lib_64d5696f99c379af2bee28c1c84271d5_spark-dpp.jar
| |-__lib_1bbb74bb6b264a270bc7fca3e964160f_spark-2x.zip
|-__archive_3_2_0/
| |-...
```
The followinng conditions will force fe to upload dependencies:
1、When fe find its dppVersion is absent in repository.
2、The MD5 value of remote file does not match the local file.
Before Fe uploads the dependencies, it will create an archive directory with name `__archive_{dppVersion}` under the repository.
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