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