If you would like to load these notebooks in your current zeppelin cluster you can use the load-notebooks.py script. It takes several optional parameters:
- -z: The Zeppelin URL ie http://localhost:8080. It defaults to localhost:8080
- -n: The directory containing the notebook folders. It defaults to the directory where this script is located.
- -d: Flag to indicate you want to delete existing notebooks whose id and/or name matches
- -u: If your zeppelin expects credentials, then this should be the user id
- -p: If your zeppelin expects credentials, then this should be the password
Copy the "json" link URL from the table below and paste it into Zeppelin's import from URL tool.
You can add notebooks by making Github pull request, but we request you also update the table below by adding a record for your notebook.
| Id | Description | Interpreter / Component | Code | Comments |
|---|---|---|---|---|
| 2CTV7H6FU | 1. Getting Started - README | Markup | json | |
| 2CTKW7A6U | 2.1 Notebook Basics Tutorial | Splicemachine | json | |
| 2E5JAQWJH | 2.2 Copying to S3 Tutorial | Splicemachine | json | |
| 2CSKWGZ8P | 2.3 Importing Data Tutorial | Splicemachine | json | |
| 2CU1SNACA | 2.4 Running Queries Tutorial | Splicemachine | json | |
| 2CS27TE2A | 2.5 Tuning for Performance Tutorial | Splicemachine | json | |
| 2CVPHXRZN | 2.6 Using the Database Console UI Tutorial | Splicemachine / SparkUI | json | |
| 2CU4BJJDS | 2.7 Explaining and Hinting Tutorial | Splicemachine | json | |
| 2CFY9Q6NS | 2.8 TPCH-1 Tutorial | Splicemachine | json | |
| 2CFMYDAYJ | 2.9 Common Utilities | Splicemachine | json | |
| 2D76NPKV6 | 3. Splice Deep Dive / 1. Introduction | Splicemachine | json | |
| 2D6ZFHE9U | 3. Splice Deep Dive / 2. The Life of a Query | Splicemachine | json | |
| 2D93Y56QJ | 3. Splice Deep Dive / 3. Monitoring Queries | Splicemachine / SparkUI | json | |
| 2D9M6ZUAW | 3. Splice Deep Dive / 4. Visualizing Results with Zeppelin | Splicemachine | json | |
| 2D89MQA89 | 3. Splice Deep Dive / 5. Transactions with Spark & JDBC | Splicemachine | json | |
| 2D8PMSAPJ | 3. Splice Deep Dive / 6. Creating Applications | Splicemachine Interpreter | json | |
| 2D96GBY2P | 3. Splice Deep Dive / 7. Using our Spark Adapter | Splicemachine / Spark Python | json | |
| 2E3671BBN | 3. Splice Deep Dive / 8. Python MLlib example | Splicemachine / Spark Python | json | |
| 2D7P8BMMS | 3. Splice Deep Dive / 9. Scala MLlib example | Splicemachine / Scala / Spark | json | |
| 2CKKJKSK8 | 4. Reference Applications / 1. Supply Chain - Predicting Shortages | Splicemachine / Spark | json | |
| 2CH931JT4 | 4. Reference Applications / 2. IoT / 1. Overview | json | ||
| 2CHVYSK7B | 4. Reference Applications / 2. IoT / 2. Database Setup | json | ||
| 2CG53XQM7 | 4. Reference Applications / 2. IoT / 3. Kafka | json | ||
| 2CGVRH6SF | 4. Reference Applications / 2. IoT / 4.SparkStream | json | ||
| 2CG6KVZJ2 | 4. Reference Applications / 2. IoT / 5. Splice Query | json | ||
| 2D2RM85JF | 5. Advanced Tutorials / 1. Creating Custom Stored Procedures | json | ||
| 2CSGDX1CW | 6. Benchmarks / 1. TPCH-100 | json | ||
| 2E6E4ECVX | ML Manager Demo | json |
- Create a directory such as /tmp/splicemachine on each server to store 1 jar files needed by this setup.
- Get the Splice Machine Native Spark Datasource for HDP for the version you are using ie (splicemachine-hdp2.6.3-2.2.0.2.6.3.0-235_2.11-2.7.0.1828.jar) for your cluster and place it in the /tmp/splicemachine directory on each server
- Copy the configure-spark-interpreter.py from the zeppelin-notebook repo to a server that is running hortonworks and run the following command where: ** The z parameter is the zeppelin server url - update the server and port to match your environment. ** The a parameter is HDP ** The s parameter is the directory from the step above ** The v parameter is the version of zeppelin ** The u parameter is the user if your zeppelin expects credentials ** The p parameter is the password if your zeppelin expects credentials ** The i parameter is the name of the Native Spark Datasource jar
- Run a command like the following to configure your HDP Zeppelin
python configure-spark-interpreter.py -z "http://localhost:9995" -a "HDP" -s "/tmp/zeppelin" -v "0.7.3" -u admin -p admin -i splicemachine-hdp2.6.3-2.2.0.2.6.3.0-235_2.11-2.7.0.1828.jar