-
Extract the contents of the Zeppelin 0.8.2 binary package. Then
cd
into the extractedzeppelin-0.8.2-bin-netinst
directory.
Note that while these instructions work with any version of Zeppelin, the demo notebooks installed later have been created and tested only on Zeppelin 0.8.2 and may not work correctly on other versions. -
Install a couple of additional interpreters (angular is used by display panels of the sample notebooks installed later):
ZEPPELIN_INTERPRETER_DEP_MVNREPO=https://repo1.maven.org/maven2 ./bin/install-interpreter.sh --name angular,jdbc
If you are using the
all
binary package from zeppelin instead of thenetinst
package linked in the previous step, then you can skip this step. -
Copy the SnappyData JDBC client jar inside the
interpreter/jdbc
directory. -
Download the predefined SnappyData notebooks with configuration notebooks_embedded_zeppelin.tar.gz.
Extract the contents of the compressed tar file (tar xzf) in the Zeppelin installation on your local machine. -
Start the Zeppelin daemon using the command:
./bin/zeppelin-daemon.sh start
-
To ensure that the installation is successful, log into the Zeppelin UI (http://localhost:8080 or <AWS-AMI_PublicIP>:8080) from your web browser.
Refer here for instructions to configure Apache Zeppelin for securely accessing SnappyData Cluster.
-
Log on to Zeppelin from your web browser and select Interpreter from the Settings option. This will require a user having administrator privileges, which is set to
admin
by default. See zeppelin-dir/conf/shiro.ini file for the default admin password and other users and update the file to use your preferred authentication scheme as required. -
Click on edit in the
jdbc
interpreter section. -
Configure the interpreter properties.
The table below lists the properties required for SnappyData.Property Value Description default.driver io.snappydata.jdbc.ClientDriver Specify the JDBC driver for SnappyData default.url jdbc:snappydata://localhost:1527 Specify the JDBC URL for SnappyData cluster in the format jdbc:snappydata://<locator_hostname>:1527
default.user SQL user name or app
If security is enabled in the SnappyData cluster, then the configured user name else app
default.password SQL user password or app
If security is enabled in the SnappyData cluster, then the password of the user else can be anything default.splitQueries true Each query in a paragraph is executed apart and returns the result zeppelin.jdbc.concurrent.use true Specify the Zeppelin scheduler to be used.
Select True for Fair and False for FIFOzeppelin.jdbc.interpolation true If interpolation of ZeppelinContext
objects into the paragraph text is allowed -
If required, edit other properties, and then click Save to apply your changes.
-
I am on the homepage, what should I do next?
- If you are using SnappyData for the first time, you can start with the QuickStart notebooks to start exploring the capabilities of the product.
- If you have used SnappyData earlier and just want to explore the new interface, you can download data from external sources using the notebooks in the External Data Sources section.
-
I get an error when I run a paragraph?
- By design, the anonymous user is not allowed to execute notebooks.
- You may clone the notebook and proceed in the cloned notebook.
-
Do I need to change any setting in Zeppelin to work with the multi-node cluster?
- Yes, but this requires Zeppelin’s admin user access. By default, you access the Zeppelin notebooks as an anonymous user. For admin user access, click the Interpreter tab and enter your credentials in the Login box. You can find the admin credentials in the zeppelin-dir/conf/shiro.ini file.
- Update the appropriate IP of a server node in the jdbc URL (highlighted in the following image).
-
Do these notebooks depend on specific Zeppelin version? Yes, these notebooks were developed on Zeppelin version 0.8.2.
-
Are there any configuration files of Zeppelin that I need to be aware of? For advanced multi-user settings, refer to the zeppelin-site.xml and shiro.ini. For more details and options, refer to the Apache Zeppelin documentation.
-
Is Zeppelin the only interface to interact with SnappyData? No, if you prefer a command-line interface, then the product provides two command-line interfaces. The SQL interface, which can be accessed using ./bin/snappy and the experimental scala interpreter can be invoked using ./bin/snappy-scala. You can also use standard JDBC tools like SQuirreL SQL, DbVisualizer, DBeaver etc. See the respective tool documentation to configure SnappyData JDBC driver (snappydata-jdbc_2.11-1.3.1.jar). For BI tools, refer to TIBCO Spotfire® and Tableau.
-
How to configure Apache Zeppelin to securely and concurrently access the SnappyData Cluster? Refer to How to Configure Apache Zeppelin to Securely and Concurrently access the SnappyData Cluster.