update

Dockerfile

@@ -10,8 +10,8 @@ RUN apt-get update && \
 # Install Spark and update env variables.
 ENV SCALA_VERSION 2.12.17
 ENV SPARK_VERSION "3.4.1"
-ENV SPARK_BUILD "spark-${SPARK_VERSION}-bin-hadoop3.2"
-ENV SPARK_BUILD_URL "https://dist.apache.org/repos/dist/release/spark/spark-${SPARK_VERSION}/${SPARK_BUILD}.tgz"
+ENV SPARK_BUILD "spark-${SPARK_VERSION}-bin-hadoop3"
+ENV SPARK_BUILD_URL "https://dlcdn.apache.org/spark/spark-${SPARK_VERSION}/${SPARK_BUILD}.tgz"
 RUN wget --quiet "$SPARK_BUILD_URL" -O /tmp/spark.tgz && \
     tar -C /opt -xf /tmp/spark.tgz && \
     mv /opt/$SPARK_BUILD /opt/spark && \
@@ -26,3 +26,4 @@ VOLUME /mnt/graphframes
 WORKDIR /mnt/graphframes
 
 ENTRYPOINT /bin/bash
+

build.sbt

@@ -3,8 +3,6 @@
 
 import ReleaseTransformations._
 
-resolvers += "Spark snapshot repository" at "https://repository.apache.org/snapshots/"
-
 val sparkVer = sys.props.getOrElse("spark.version", "3.4.1")
 val sparkBranch = sparkVer.substring(0, 3)
 val defaultScalaVer = sparkBranch match {

docs/Dockerfile

@@ -6,8 +6,10 @@ RUN apt-get update && \
 
 RUN pip install sphinx==1.8 numpy
 RUN gem install jekyll bundler jekyll-redirect-from
+RUN pip install jinja2==2.11.3 markupsafe==2.0
 
 WORKDIR /mnt/graphframes
 
 # redefine the entrypoint to empty so that we can run the shell command with `docker run`.
 ENTRYPOINT []
+

python/requirements.txt

@@ -1,3 +1,5 @@
 # This file should list any python package dependencies.
 nose==1.3.7
 numpy>=1.7
+jinjia2==2.11.3
+