zeppelin/scripts/docker/zeppelin-interpreter/env_python_3_with_R.yml
Cheng Pan 597f50c29e
[ZEPPELIN-6119] Bump default Spark version to 3.5.3
### What is this PR for?

Currently, Zeppelin supports Spark 3.3, 3.4(default), and 3.5. This PR bumps the default Spark version to 3.5.3, corresponding Scala deps are upgraded too.

### What type of PR is it?

Improvement

### Todos

### What is the Jira issue?

ZEPPELIN-6119

### How should this be tested?

Pass GHA.

### Screenshots (if appropriate)

### Questions:
* Does the license files need to update? No.
* Is there breaking changes for older versions? No.
* Does this needs documentation? No.


Closes #4862 from pan3793/ZEPPELIN-6119.

Signed-off-by: Cheng Pan <chengpan@apache.org>
2024-10-05 20:11:02 +08:00

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YAML

name: python_3_with_R
channels:
- conda-forge
- defaults
dependencies:
- python >=3.9,<3.10
- pyspark=3.5.3
- pycodestyle
- scipy
- numpy
- grpcio
- protobuf
- pandasql
- ipython
- ipykernel
- jupyter_client
- hvplot
- plotnine
- seaborn
- intake
- intake-parquet
- intake-xarray
- altair
- vega_datasets
- plotly
- pip
- pip:
# works for regular pip packages
- bkzep==0.6.1
- r-base=3
- r-data.table
- r-evaluate
- r-base64enc
- r-knitr
- r-ggplot2
- r-irkernel
- r-shiny
- r-googlevis