Merge pull request #1158 from romainx/spark_3_0_1

Spark 3.0.1 -> fixes #1156

base-notebook/test/test_container_options.py

@@ -11,11 +11,13 @@ LOGGER = logging.getLogger(__name__)
 def test_cli_args(container, http_client):
     """Container should respect notebook server command line args
     (e.g., disabling token security)"""
-    container.run(
-        command=['start-notebook.sh', '--NotebookApp.token=""']
+    c = container.run(
+        command=["start-notebook.sh", "--NotebookApp.token=''"]
     )
     resp = http_client.get('http://localhost:8888')
     resp.raise_for_status()
+    logs = c.logs(stdout=True).decode('utf-8')
+    LOGGER.debug(logs)
     assert 'login_submit' not in resp.text
 
 

docs/using/specifics.md

@@ -12,7 +12,7 @@ This page provides details about features specific to one or more images.
 
 You can build a `pyspark-notebook` image (and also the downstream `all-spark-notebook` image) with a different version of Spark by overriding the default value of the following arguments at build time.
 
-* Spark distribution is defined by the combination of the Spark and the Hadoop version and verified by the package checksum, see [Download Apache Spark](https://spark.apache.org/downloads.html) for more information.
+* Spark distribution is defined by the combination of the Spark and the Hadoop version and verified by the package checksum, see [Download Apache Spark](https://spark.apache.org/downloads.html) for more information. At this time the build will only work with the set of versions available on the Apache Spark download page, so it will not work with the archived versions.
   * `spark_version`: The Spark version to install (`3.0.0`).
   * `hadoop_version`: The Hadoop version (`3.2`).
   * `spark_checksum`: The package checksum (`BFE4540...`).
@@ -59,8 +59,6 @@ docker run -it --rm jupyter/pyspark-notebook:spark-2.4.6 pyspark --version
  * get the version (`ls /usr/local/spark/python/lib/`),
  * set the version `--build-arg py4j_version=0.10.7`.
 
-*Note: At the time of writing there is an issue preventing to use Spark `2.4.6` with Python `3.8`, see [this answer on SO](https://stackoverflow.com/a/62173969/4413446) for more information.*
-
 ```bash
 docker run -it --rm jupyter/pyspark-notebook:spark-2.4.6 ls /usr/local/spark/python/lib/ 
 # py4j-0.10.7-src.zip  PY4J_LICENSE.txt  pyspark.zip
@@ -68,6 +66,8 @@ docker run -it --rm jupyter/pyspark-notebook:spark-2.4.6 ls /usr/local/spark/pyt
 # --build-arg py4j_version=
 ```
 
+*Note: At the time of writing there is an issue preventing to use Spark `2.4.6` with Python `3.8`, see [this answer on SO](https://stackoverflow.com/a/62173969/4413446) for more information.*
+
 ### Usage Examples
 
 The `jupyter/pyspark-notebook` and `jupyter/all-spark-notebook` images support the use of [Apache Spark](https://spark.apache.org/) in Python, R, and Scala notebooks. The following sections provide some examples of how to get started using them.

pyspark-notebook/Dockerfile

@@ -13,9 +13,9 @@ 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="3.0.0"
+ARG spark_version="3.0.1"
 ARG hadoop_version="3.2"
-ARG spark_checksum="BFE45406C67CC4AE00411AD18CC438F51E7D4B6F14EB61E7BF6B5450897C2E8D3AB020152657C0239F253735C263512FFABF538AC5B9FFFA38B8295736A9C387"
+ARG spark_checksum="E8B47C5B658E0FBC1E57EEA06262649D8418AE2B2765E44DA53AAF50094877D17297CC5F0B9B35DF2CEEF830F19AA31D7E56EAD950BBE7F8830D6874F88CFC3C"
 ARG py4j_version="0.10.9"
 ARG openjdk_version="11"