Databricks workspace setup guide

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Databricks workspace setup guide

This section provides instructions to connect a Databricks cluster to Unravel SaaS.

Create a Workspace token in Databricks.
1. Go to Workspace > Admin Console > Access Control and enable Personal Access Tokens. For more details, refer to Manage personal access tokens.
2. Go to Workspace > User Settings > Access Tokens and click Generate New Token. For more details, refer to Authentication using Databricks personal access tokens.

Connect Databricks cluster to Unravel.

Run the following steps to connect the Databricks cluster to Unravel.

Click Add Workspace and enter the following details.

Field	Description
Workspace Id	Databricks workspace ID, which can be found in the Databricks URL. The random numbers shown after o= in the Databricks URL become the workspace ID. For example, in this URL:https://<databricks-instance>/?o=987654321123456, the Databricks workspace ID is the random number after o=, which is 987654321123456.
Workspace Name	Databricks workspace name. A human-readable name for the workspace. For example, `ACME-Workspace`
Instance (Region) URL	Regional URL where the Databricks workspace is deployed. Specify the complete URL. For example, https://dbc-1dbx661f-a33e.cloud.databricks.com
Tier	Select a subscription option: Standard or Premium. For Databricks Azure, you can get the pricing information from the Azure portal. For Databricks AWS, you can get detailed information about pricing tiers from Databricks AWS pricing.
Token	Use the personal access token to secure authentication to the Databricks REST APIs instead of passwords. You can generate the token from the workspace URL (Go to Settings > User Settings > Access Token > Generate New Token) See Authentication using Databricks personal access tokens to create personal access tokens. Note Users with admin or non-admin roles can create personal access tokens.

Note

After you click Add, it takes around 2-3 minutes to register the Databricks Workspace with Unravel.

Add Unravel configuration to Databricks clusters using any of the following options:

Global init script

Global init script applies the Unravel configurations to all clusters in a workspace. Do the following to set up Unravel configuration as Global init scripts:

If upgrading from a previous version of Unravel, you must remove all the existing scripts such as unravel_cluster_init.sh, unravel_spark_init.sh, etc.
On Databricks, go to Workspace > Settings > Admin Console > Global init scripts.

Click +Add and set the following:

Item	Settings
Name	Enter the name as unravel_init
Script	Copy and paste the following content in the Script box: #!/bin/bash # # Runs Unravel Init scripts COUNTER=1 while [ ! -d "/dbfs" ] && [ $COUNTER -le 20 ]; do echo "$(date) Waiting for dbfs mount: RetryCount = ${COUNTER} ....." ((COUNTER++)) sleep 0.1 done UD_ROOT=/dbfs/databricks/unravel CLUSTER_INIT=${UD_ROOT}/unravel-db-sensor-archive/dbin/unravel_cluster_init.sh SPARK_INIT=${UD_ROOT}/unravel-db-sensor-archive/dbin/unravel_spark_init.sh if [ ! -f "${CLUSTER_INIT}" ]; then echo "Unravel Cluster Init ${CLUSTER_INIT} doesn't exist!" exit 0 else cp ${CLUSTER_INIT} /tmp/ chmod a+x /tmp/unravel_cluster_init.sh /tmp/unravel_cluster_init.sh fi if [ ! -f "${SPARK_INIT}" ]; then echo "Unravel Spark Init ${SPARK_INIT} doesn't exist!" exit 0 else cp ${SPARK_INIT} /tmp/ chmod a+x /tmp/unravel_spark_init.sh /tmp/unravel_spark_init.sh fi Note Unravel supports Databricks version 11.3 and below. Newer versions can be included by setting the environment variable `DATABRICKS_RUNTIME_VERSION` at the top of this script
Enabled	Turn on the Enable toggle.

Item

Settings

Name

Enter the name as unravel_init

Script

Copy and paste the following content in the Script box:

#!/bin/bash
#
# Runs Unravel Init scripts

COUNTER=1
while [ ! -d "/dbfs" ] && [ $COUNTER -le 20 ]; do
 echo "$(date) Waiting for dbfs mount: RetryCount = ${COUNTER} ....."
 ((COUNTER++))
 sleep 0.1
done

UD_ROOT=/dbfs/databricks/unravel
CLUSTER_INIT=${UD_ROOT}/unravel-db-sensor-archive/dbin/unravel_cluster_init.sh
SPARK_INIT=${UD_ROOT}/unravel-db-sensor-archive/dbin/unravel_spark_init.sh

if [ ! -f "${CLUSTER_INIT}" ]; then
 echo "Unravel Cluster Init ${CLUSTER_INIT} doesn't exist!"
 exit 0
else
 cp ${CLUSTER_INIT} /tmp/
 chmod a+x /tmp/unravel_cluster_init.sh
 /tmp/unravel_cluster_init.sh
fi

if [ ! -f "${SPARK_INIT}" ]; then
 echo "Unravel Spark Init ${SPARK_INIT} doesn't exist!"
 exit 0
else
 cp ${SPARK_INIT} /tmp/
 chmod a+x /tmp/unravel_spark_init.sh
 /tmp/unravel_spark_init.sh
fi

Note

Unravel supports Databricks version 11.3 and below. Newer versions can be included by setting the environment variable DATABRICKS_RUNTIME_VERSION at the top of this script

Enabled

Turn on the Enable toggle.

Click Add to save the settings.

Note

Cluster logging should be enabled at the cluster level. See Logging in for instructions.

For reference, you can also watch the following video:

Important

When you upgrade from an Unravel version below v4.7.5.0, you must disable or remove all the previously set up global init scripts (unravel_cluster_init, unravel_spark_init).

Cluster init script
Unravel versions 4.7.8.5 HF and later
The Cluster init script applies the Unravel configurations at the cluster level. To setup cluster init scripts from the cluster UI, do the following:
Go to Unravel UI, and click Manage > Workspaces.
Choose the desired workspace as the source.
Set the path as: /unravel/install-unravel.sh.
Note
Prior to configuring the new cluster-level init script, ensure you remove any existing cluster-level init script configurations that are pointing to the DBFS location. For cluster-level init script setup, make sure to configure it using the workspace file path: /unravel/install-unravel.sh.
Note
To add Unravel configurations to job clusters via API, refer How to setup cluster init scripts via cluster API.
Unravel versions 4.7.8.4 HF and earlier
The Cluster init script applies the Unravel configurations at the cluster level. To setup cluster init scripts from the cluster UI, do the following:
Go to Unravel UI, and click Manage > Workspaces > Cluster configuration to get the configuration details.
Follow the instructions and update each cluster (Automated /Interactive) that you want to monitor with Unravel.
Add Unravel configuration to Databricks clusters. Go to Unravel UI, and from the upper right, click Manage > Workspaces > Cluster configuration to get the configuration details. Follow the instructions and update every cluster (Automated /Interactive) in your workspace.
Tip
By default, the Ganglia metrics are enabled with Dcom.unraveldata.agent.metrics.ganglia_enabled property set to true.
Note
To add Unravel configurations to job clusters via API, refer How to setup cluster init scripts via cluster API.