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Update recipes.md

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Ayaz Salikhov
2023-02-09 14:44:03 +04:00
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parent a47822e11a
commit dc56a27435
1 changed files with 12 additions and 12 deletions
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@@ -49,7 +49,7 @@ Next, create a new Dockerfile like the one shown below.
```dockerfile
# Start from a core stack version
FROM jupyter/datascience-notebook:85f615d5cafa
# Install from requirements.txt file
# Install from the requirements.txt file
COPY --chown=${NB_UID}:${NB_GID} requirements.txt /tmp/
RUN pip install --quiet --no-cache-dir --requirement /tmp/requirements.txt && \
fix-permissions "${CONDA_DIR}" && \
@@ -61,7 +61,7 @@ For conda, the Dockerfile is similar:
```dockerfile
# Start from a core stack version
FROM jupyter/datascience-notebook:85f615d5cafa
# Install from requirements.txt file
# Install from the requirements.txt file
COPY --chown=${NB_UID}:${NB_GID} requirements.txt /tmp/
RUN mamba install --yes --file /tmp/requirements.txt && \
mamba clean --all -f -y && \
@@ -74,7 +74,7 @@ Ref: [docker-stacks/commit/79169618d571506304934a7b29039085e77db78c](https://git
## Add a custom conda environment and Jupyter kernel
The default version of Python that ships with the image may not be the version you want.
The instructions below permit to add a conda environment with a different Python version and make it accessible to Jupyter.
The instructions below permit adding a conda environment with a different Python version and making it accessible to Jupyter.
```dockerfile
# Choose your desired base image
@@ -187,16 +187,16 @@ pip install --quiet --no-cache-dir xgboost && \
# run "import xgboost" in python
```
## Running behind a nginx proxy
## Running behind an nginx proxy
Sometimes it is helpful to run the Jupyter instance behind a nginx proxy, for example:
Sometimes it is helpful to run the Jupyter instance behind an nginx proxy, for example:
- you would prefer to access the notebook at a server URL with a path
(`https://example.com/jupyter`) rather than a port (`https://example.com:8888`)
- you may have many services in addition to Jupyter running on the same server, and want
nginx to help improve server performance in managing the connections
Here is a [quick example NGINX configuration](https://gist.github.com/cboettig/8643341bd3c93b62b5c2) to get started.
Here is a [quick example of NGINX configuration](https://gist.github.com/cboettig/8643341bd3c93b62b5c2) to get started.
You'll need a server, a `.crt` and `.key` file for your server, and `docker` & `docker-compose` installed.
Then download the files at that gist and run `docker-compose up -d` to test it out.
Customize the `nginx.conf` file to set the desired paths and add other services.
@@ -299,12 +299,12 @@ A few suggestions have been made regarding using Docker Stacks with spark.
### Using PySpark with AWS S3
Using Spark session for hadoop 2.7.3
Using Spark session for Hadoop 2.7.3
```python
import os
# !ls /usr/local/spark/jars/hadoop* # to figure out what version of hadoop
# !ls /usr/local/spark/jars/hadoop* # to figure out what version of Hadoop
os.environ[
"PYSPARK_SUBMIT_ARGS"
] = '--packages "org.apache.hadoop:hadoop-aws:2.7.3" pyspark-shell'
@@ -324,7 +324,7 @@ spark = (
df = spark.read.parquet("s3://myBucket/myKey")
```
Using Spark context for hadoop 2.6.0
Using Spark context for Hadoop 2.6.0
```python
import os
@@ -404,7 +404,7 @@ RUN echo 'deb https://cdn-fastly.deb.debian.org/debian jessie-backports main' >
apt-get install --yes --no-install-recommends -t jessie-backports openjdk-8-jdk && \
rm /etc/apt/sources.list.d/jessie-backports.list && \
apt-get clean && rm -rf /var/lib/apt/lists/* && \
# Add hadoop binaries
# Add Hadoop binaries
wget https://mirrors.ukfast.co.uk/sites/ftp.apache.org/hadoop/common/hadoop-2.7.3/hadoop-2.7.3.tar.gz && \
tar -xvf hadoop-2.7.3.tar.gz -C /usr/local && \
chown -R "${NB_USER}:users" /usr/local/hadoop-2.7.3 && \
@@ -415,7 +415,7 @@ RUN echo 'deb https://cdn-fastly.deb.debian.org/debian jessie-backports main' >
apt-get clean && rm -rf /var/lib/apt/lists/* && \
# Remove the example hadoop configs and replace
# with those for our cluster.
# Alternatively this could be mounted as a volume
# Alternatively, this could be mounted as a volume
rm -f /usr/local/hadoop-2.7.3/etc/hadoop/*
# Download this from ambari / cloudera manager and copy here
@@ -574,7 +574,7 @@ docker run -it --rm \
The example below is a Dockerfile to install the [ijavascript kernel](https://github.com/n-riesco/ijavascript).
```dockerfile
# use one of the jupyter docker stacks images
# use one of the Jupyter Docker Stacks images
FROM jupyter/scipy-notebook:85f615d5cafa
# install ijavascript