Monitoring the state of Spark applications

To assess the performance of Spark applications in a Yandex Data Processing cluster, you can check the following:

• Application list
• Application logs
• Application queue
• Application details
• Resources allocated to the application
• Persisted RDDs
• List of SQL queries and their plans

Checking the application listChecking the application list

1. Open the folder dashboard.
2. Navigate to Yandex Data Processing.
3. Click the cluster name.
4. Under UI Proxy, select YARN Resource Manager Web UI.

It shows information about all running and completed applications.

Checking application logsChecking application logs

1. Open the folder dashboard.

2. Navigate to Yandex Data Processing.

3. Click the cluster name.

4. Under UI Proxy, select YARN Resource Manager Web UI.

5. Find the application you need and click its ID in the ID column.

   This will open a window with info on the application performance and a table listing its run attempts.

6. Click the link next to the attempt in question in the Logs column.

Checking the application queueChecking the application queue

1. Open the folder dashboard.
2. Navigate to Yandex Data Processing.
3. Click the cluster name.
4. Under UI Proxy, select YARN Resource Manager Web UI.
5. In the left-hand menu, navigate to Scheduler.

The Application Queues section shows the queue of applications and the resources they use.

Checking application detailsChecking application details

This will open the Spark History Server Web UI window with details of the application you selected:

• Event Timeline: History of job runs with info on added and removed executors.
• Active Jobs: List of running or pending jobs.
• Completed Jobs: List of completed jobs.

For each job, the table specifies:

• Submitted time
• Duration
• Stages: Succeeded/Total
• Tasks: Succeeded/Total

Checking resources allocated to the applicationChecking resources allocated to the application

1. Open the folder dashboard.
2. Navigate to Yandex Data Processing.
3. Click the cluster name.
4. Under UI Proxy, select Spark History Server Web UI.
5. In the top menu, navigate to Executors.

The UI displays two tables:

• Summary: High-level information, such as the number and status of executors and resources in use.
• Executors: Information about each executor.

The tables specify the following:

• Amount of resources available per executor.
• Number of running and completed tasks.
• Task duration (Task Time), including the time spent on garbage collection (GC Time).

Checking persisted RDDsChecking persisted RDDs

1. Open the folder dashboard.
2. Navigate to Yandex Data Processing.
3. Click the cluster name.
4. Under UI Proxy, select Spark History Server Web UI.
5. In the top menu, navigate to Storage.

The UI displays the list of persisted resilient distributed datasets (RDDs). For each RDD, it shows memory consumption, disk usage, and caching progress.

To view details, click the RDD name.

Checking the list of SQL queries and their plansChecking the list of SQL queries and their plans

1. Open the folder dashboard.
2. Navigate to Yandex Data Processing.
3. Click the cluster name.
4. Under UI Proxy, select Spark History Server Web UI.
5. In the top menu, navigate to SQL.

The table lists executed SQL queries, including their start time and duration.

To see the query plan, click the query text in the Description column. The query plan is displayed as a flowchart. To view it as text, click Details at the bottom of the figure.

The query plan contains stats for each operator along with the number of completed tasks and their duration. If the query is still running, the current stats will be shown.