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Upgrade Spark to 2.2.0

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This commit is contained in:
uodna
2017-07-18 23:31:44 +09:00
parent c1b0cf6bf4
commit c740fbb1ca
3 changed files with 13 additions and 13 deletions
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4
pyspark-notebook/Dockerfile
View File

@@ -7,7 +7,7 @@ MAINTAINER Jupyter Project <jupyter@googlegroups.com>
USER root
# Spark dependencies
ENV APACHE_SPARK_VERSION 2.1.1
ENV APACHE_SPARK_VERSION 2.2.0
ENV HADOOP_VERSION 2.7
# Temporarily add jessie backports to get openjdk 8, but then remove that source
@@ -19,7 +19,7 @@ RUN echo 'deb http://cdn-fastly.deb.debian.org/debian jessie-backports main' > /
rm -rf /var/lib/apt/lists/*
RUN cd /tmp && \
wget -q http://d3kbcqa49mib13.cloudfront.net/spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz && \
echo "4b6427ca6dc6f888b21bff9f9a354260af4a0699a1f43caabf58ae6030951ee5fa8b976497aa33de7e4ae55609d47a80bfe66dfc48c79ea28e3e5b03bdaaba11 *spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz" | sha512sum -c - && \
echo "7a186a2a007b2dfd880571f7214a7d329c972510a460a8bdbef9f7f2a891019343c020f74b496a61e5aa42bc9e9a79cc99defe5cb3bf8b6f49c07e01b259bc6b *spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz" | sha512sum -c - && \
tar xzf spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz -C /usr/local && \
rm spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz
RUN cd /usr/local && ln -s spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION} spark

8
pyspark-notebook/README.md
View File

@@ -7,7 +7,7 @@
* Jupyter Notebook 5.0.x
* Conda Python 3.x and Python 2.7.x environments
* pyspark, pandas, matplotlib, scipy, seaborn, scikit-learn pre-installed
* Spark 2.1.1 with Hadoop 2.7 for use in local mode or to connect to a cluster of Spark workers
* Spark 2.2.0 with Hadoop 2.7 for use in local mode or to connect to a cluster of Spark workers
* Mesos client 1.2 binary that can communicate with a Mesos master
* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
* [tini](https://github.com/krallin/tini) as the container entrypoint and [start-notebook.sh](../base-notebook/start-notebook.sh) as the default command
@@ -70,8 +70,8 @@ conf = pyspark.SparkConf()
# point to mesos master or zookeeper entry (e.g., zk://10.10.10.10:2181/mesos)
conf.setMaster("mesos://10.10.10.10:5050")
# point to spark binary package in HDFS or on local filesystem on all slave
# nodes (e.g., file:///opt/spark/spark-2.1.1-bin-hadoop2.7.tgz)
conf.set("spark.executor.uri", "hdfs://10.122.193.209/spark/spark-2.1.1-bin-hadoop2.7.tgz")
# nodes (e.g., file:///opt/spark/spark-2.2.0-bin-hadoop2.7.tgz)
conf.set("spark.executor.uri", "hdfs://10.122.193.209/spark/spark-2.2.0-bin-hadoop2.7.tgz")
# set other options as desired
conf.set("spark.executor.memory", "8g")
conf.set("spark.core.connection.ack.wait.timeout", "1200")
@@ -202,7 +202,7 @@ c.DockerSpawner.container_image = 'jupyter/pyspark-notebook'
# Have the Spawner override the Docker run command
c.DockerSpawner.extra_create_kwargs.update({
'command': '/usr/local/bin/start-singleuser.sh'
'command': '/usr/local/bin/start-singleuser.sh'
})
```