Upgrade Apache Spark to 3.5.0 (#1995)

* 1.

* add note for pandas version

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update images/pyspark-notebook/Dockerfile

Co-authored-by: Ayaz Salikhov <[email protected]>

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Ayaz Salikhov <[email protected]>

Author: 3 people

images/pyspark-notebook/Dockerfile

@@ -15,10 +15,10 @@ USER root
 # Spark dependencies
 # Default values can be overridden at build time
 # (ARGS are in lower case to distinguish them from ENV)
-ARG spark_version="3.4.1"
+ARG spark_version="3.5.0"
 ARG hadoop_version="3"
 ARG scala_version
-ARG spark_checksum="5a21295b4c3d1d3f8fc85375c711c7c23e3eeb3ec9ea91778f149d8d321e3905e2f44cf19c69a28df693cffd536f7316706c78932e7e148d224424150f18b2c5"
+ARG spark_checksum="8883c67e0a138069e597f3e7d4edbbd5c3a565d50b28644aad02856a1ec1da7cb92b8f80454ca427118f69459ea326eaa073cf7b1a860c3b796f4b07c2101319"
 ARG openjdk_version="17"
 
 ENV APACHE_SPARK_VERSION="${spark_version}" \
@@ -66,9 +66,14 @@ RUN fix-permissions "/etc/ipython/"
 USER ${NB_UID}
 
 # Install pyarrow
-# Temporarily pin pandas to version 1.5.3, see: https://github.com/jupyter/docker-stacks/issues/1924
+# NOTE: It's important to ensure compatibility between Pandas versions.
+# The pandas version in this Dockerfile should match the version
+# on which the Pandas API for Spark is built.
+# To find the right version:
+# 1. Check out the Spark branch you are on.
+# 2. Find the pandas version in the file spark/dev/infra/Dockerfile.
 RUN mamba install --yes \
-    'pandas>=1.5.3,<2.0.0' \
+    'pandas=2.0.3' \
     'pyarrow' && \
     mamba clean --all -f -y && \
     fix-permissions "${CONDA_DIR}" && \

tests/pyspark-notebook/units/unit_pandas_version.py

@@ -2,4 +2,4 @@
 # Distributed under the terms of the Modified BSD License.
 import pandas
 
-assert pandas.__version__ == "1.5.3"
+assert pandas.__version__ == "2.0.3"