Go to Qiita Advent Calendar 2024 Top
LoginSignup
0
4

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?

More than 3 years have passed since last update.

@lin_shubin

WSL anaconda jupyter でSpark遊び (1)

Last updated at Posted at 2019-11-12

１、Windows 10のWSL設定

Windows Subsystem for Linuxをインストールしてみよう！
開発環境について、anaconda利用の場合、conda create のほうが個人的いいと思います。

２、WSL Anaconda インストール

##２－１、Anaconda Downlowd
Linux 3.7 64bit X86 をWindowsにダウンロードする。
ana1.PNG
##２－２、Anaconda Install
ダウンロード先にcdして、インストーラを実行する。

(base) xxxx:~$ cd /mnt/c/Users/myname/Downloads/
(base) xxxx:/mnt/c/Users/myname/Downloads$ ./Anaconda3-2019.10-Linux-x86_64.sh

Welcome to Anaconda3 2019.10

In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue

詳細はインストールの記事を参照してください。
$conda コマンドを実行して、インストール結果を確認する。下記の結果になればOKです。

(base) xxxx:~$ conda
usage: conda [-h] [-V] command ...

conda is a tool for managing and deploying applications, environments and packages.

Options:

positional arguments:
  command
    clean        Remove unused packages and caches.
    config       Modify configuration values in .condarc. This is modeled

pipなどコマンドも有効になっているので、開発環境の設定はここに参照

３、Spark インストール

超簡単Windows10共存Local検証版の設定法を紹介します。
以前ここの記事を参考して、WindowsのSpark環境を構築済みです。

C:\soft\spark>dir
 ドライブ C のボリューム ラベルは Windows  です
 ボリューム シリアル番号は E6E4-3579 です

 C:\soft\spark のディレクトリ

2019/08/28  06:30    <DIR>          .
2019/08/28  06:30    <DIR>          ..
2019/11/12  17:01    <DIR>          bin
2019/11/12  17:03    <DIR>          conf
2019/08/28  06:30    <DIR>          data
2019/08/28  06:30    <DIR>          examples
2019/08/28  06:30    <DIR>          jars
2019/08/28  06:30    <DIR>          kubernetes
2019/08/28  06:30            21,316 LICENSE
2019/08/28  06:30    <DIR>          licenses
2019/08/28  06:30            42,919 NOTICE
2019/08/28  06:30    <DIR>          python
2019/08/28  06:30    <DIR>          R
2019/08/28  06:30             3,952 README.md
2019/08/28  06:30               164 RELEASE
2019/08/28  06:30    <DIR>          sbin
2019/08/28  06:30    <DIR>          yarn
               4 個のファイル              68,351 バイト
              13 個のディレクトリ  422,510,718,976 バイトの空き領域

C:\soft\spark>pyspark
Python 2.7.7 (default, Jun  1 2014, 14:21:57) [MSC v.1500 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
19/11/13 16:32:02 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /__ / .__/\_,_/_/ /_/\_\   version 2.4.4
      /_/

Using Python version 2.7.7 (default, Jun  1 2014 14:21:57)
SparkSession available as 'spark'.
>>>

SparkマルチOS対応ファイルを持ってますので、そのまま利用します。

シンボルリンクをはります。

(base) xxxx:~$ ln -s /mnt/c/soft/spark /opt/spark
(base) xxxx:~$ ll /opt
合計 0
drwxr-xr-x 1 root root 512 10月 30 16:54 ./
drwxr-xr-x 1 root root 512 10月 30 12:53 ../
drwxr-xr-x 1 root root 512 10月 30 13:20 anaconda3/
lrwxrwxrwx 1 root root  17 10月 30 16:54 spark -> /mnt/c/soft/spark/

.profileファイルにSPARK_HOME,HADOOP_HOME,PATHを設定します。(.bashrcファイルでも問題ありません)

# set JAVA_HOME                                                                                                         JAVA_HOME="/usr/lib/jvm/java-11-openjdk-amd64"
# set SPARK_HOME
SPARK_HOME="/opt/spark"
# set HADOOP_HOME
HADOOP_HOME="/opt/spark"
PATH="$SPARK_HOME/bin:$PATH"

spark-shellを実行して、結果を確認してください。

(base) okada@OGNikkei11:~$ spark-shell
19/11/13 16:46:53 WARN Utils: Your hostname, OGNikkei11 resolves to a loopback address: 127.0.1.1; using 192.168.100.17 instead (on interface eth0)
19/11/13 16:46:53 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/mnt/c/soft/spark/jars/spark-unsafe_2.11-2.4.4.jar) to method java.nio.Bits.unaligned()
WARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
19/11/13 16:46:53 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Spark context Web UI available at http://192.168.100.17:4040
Spark context available as 'sc' (master = local[*], app id = local-1573631219567).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.4.4
      /_/

Using Scala version 2.11.12 (OpenJDK 64-Bit Server VM, Java 11.0.4)
Type in expressions to have them evaluated.
Type :help for more information.

pysparkも問題ないはずです。

４、Jupyter設定

$ cd /opt/spark/conf/
$ cp spark-env.sh.template spark-env.sh
$ vi spark-env.sh
下記2行追加
export PYSPARK_DRIVER_PYTHON=/opt/anaconda3/bin/jupyter
export PYSPARK_DRIVER_PYTHON_OPTS="notebook"

pysparkコマンド実行します。

(base) xxxx:~$ pyspark
[I 16:49:06.490 NotebookApp] JupyterLab extension loaded from /opt/anaconda3/lib/python3.7/site-packages/jupyterlab
[I 16:49:06.490 NotebookApp] JupyterLab application directory is /opt/anaconda3/share/jupyter/lab
[I 16:49:06.492 NotebookApp] Serving notebooks from local directory: /home/okada
[I 16:49:06.492 NotebookApp] The Jupyter Notebook is running at:
[I 16:49:06.493 NotebookApp] http://localhost:8888/?token=80b6d4029a0f52ba90c902df49d1156c976fdb0ebb8fc8e0
[I 16:49:06.493 NotebookApp]  or http://127.0.0.1:8888/?token=80b6d4029a0f52ba90c902df49d1156c976fdb0ebb8fc8e0
[I 16:49:06.493 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[W 16:49:06.515 NotebookApp] No web browser found: could not locate runnable browser.
[C 16:49:06.516 NotebookApp]

    To access the notebook, open this file in a browser:
        file:///home/okada/.local/share/jupyter/runtime/nbserver-258-open.html
    Or copy and paste one of these URLs:
        http://localhost:8888/?token=80b6d4029a0f52ba90c902df49d1156c976fdb0ebb8fc8e0
     or http://127.0.0.1:8888/?token=80b6d4029a0f52ba90c902df49d1156c976fdb0ebb8fc8e0

http://localhost:8888/?token=80b6d4029a0f52ba90c902df49d1156c976fdb0ebb8fc8e0をコピーして、Chromeにペスト
image.png

jupyter－Sparkの世界へようこそ

追記 Spark Streaming + Kafkaの環境では、Pythonがサポートされてないため、Scala環境を配置します。
##Apache Toree (Spark kernel) のインストール

$ pip install --pre toree
$ jupyter toree install --spark_home=$SPARK_HOME

jupyter notebookを起動して、[Apache Toree - Scala] が追加されます。

0
4
0

Register as a new user and use Qiita more conveniently

  1. You get articles that match your needs
  2. You can efficiently read back useful information
  3. You can use dark theme
What you can do with signing up
Sign upLogin
0
4

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?