v4.7.9.3 Release notes
Software version
Release date: January 25, 2024
See v4.7.9.3 for download information.
See also Unity App release notes
Software upgrade support
The following upgrade paths are supported:
4.7.9.2 → 4.7.9.3
4.7.8.0 Hotfix → 4.7.9.3
4.7.8.0 → 4.7.9.3
4.7.x (Databricks) → 4.7.9.3
For instructions to upgrade to Unravel v 4.7.9.3, see Upgrade to Unravel 4793
For fresh installations, see Deploy Unravel
Announcements
End of Support Announcement for RHEL 6
Red Hat Enterprise Linux 6 (RHEL 6) is no longer supported with Unravel. If you are currently using RHEL 6, Unravel recommends that you plan an upgrade to a supported operating system to continue receiving updates and support. Contact support for any further assistance.
CPU Speed host metrics collection is not supported
Starting from the 4793 release, we have deprecated the collection of CPU Speed host metrics.
Certified platforms
The following platforms are tested and certified in this release:
Databricks (Azure, AWS)
Review your platform's compatibility matrix before you install Unravel.
Updates to Unravel's configuration properties
See 4.7.9.3 - Updates to Unravel properties.
Updates to upgrading Unravel to v4.7.9.3
Go to {unravel_install_dir}/versions/{unravel_version}/core/etc/dbx/cost
Copy the following files:
prices_workload_tier_aws.tsv
prices_workload_tier_azure.tsv
Paste the copied files and replace the existing files in this location:
{unravel_install_dir}/data/conf/cost
The insight_upgrade.sh script be run after the upgrade. This script performs the following tasks:
Deletes older RealTimeLightProcessorEvent entries from the database and elasticsearch index.
Regenerates new NodeRightSizing events for certain clusters.
Go to {unravel_install_dir}/unravel/services/insights_worker_1_1
Run the insights_upgrade.sh script.
New features
A new Healthcheck ROI report is launched and is available as an App Store app. The app provides a comprehensive view of the Databricks environment, focusing on performance, costs, and potential savings. With this app, you can get insights into daily costs, hierarchical cost distribution, user, workspace, cluster, and job metrics. You can identify opportunities for workload optimization, worker resource classification, and migration savings through detailed analytics and recommendations. You can also have a holistic view of cluster metrics, including session costs, wastage analysis, and potential migration savings.
Support for Databricks 13.x and above
Databricks Runtime 13.x and above is supported from this release.
Note
Databricks does not provide Ganglia metrics for Databricks Runtime 13 and above. Unravel now gathers all host-level metrics in real time from the /proc filesystem. There might be variations in the metrics collection approach of Unravel and Databricks itself.
Observability on Databricks SaaS is available with Standard (Free) tier
Unravel has introduced observability on Databricks SaaS for free. You can now access essential observability features at no cost, allowing you to monitor your Databricks environment without incurring additional charges.
Improvements and enhancements
Improved On-demand Insights
The on-demand Insights feature is now significantly faster, providing users with access to the most recent and relevant insights within 10 seconds, and enabling an intuitive comparison of resources that facilitates quick decision making. This update improves the user experience by streamlining the process of obtaining valuable insights.
Python upgrade
In this release, Python is upgraded to version 3.8.12.
Backend updates to improve performance
This release includes significant backend improvements aimed at enhancing overall system performance. These updates contribute to a more responsive and efficient system, ensuring a smoother experience.
The following table contains key issues addressed in the 4.7.9.3 release.
ID | Description |
|---|---|
App Store | |
IMP-1089 | Incorrect duration values are noted for the Interesting Apps data in specific applications. |
Compute | |
IMP-1239 | Modify the parsing logic for driver host metrics in the Spark Details page of Compute. |
Insights | |
DT-1519 | The Nodedownsizing event recommends a $0 cost saving for a successful job. |
IMP-1217 | Streaming applications are incorrectly generating RealtimeLightProcessor insights. |
IMP-1272 | An exception occurs while fetching feature data from the feature store. |
Jobs | |
PIPELINE-1982 | In a Spark application, there is a discrepancy in the displayed name on the Jobs page. |
Kafka | |
CPLANE-2649 | The Refresh Kafka command failed to start Zookeeper before initiating Kafka, resulting in an incomplete initialization. |
Security | |
CUSTOMER-2584 | Bind password is exposed in plain text within the AutoAction (AA) logs. |
Sensor | |
CPLANE-3427 | In the Unravel sensor logs, there is an occurrence of java.lang.NumberFormatException. |
Workflows | |
CUSTOMER-2544 | The sort functionality in the cost filter under the Workflow tab is not functioning as expected. |
PIPELINE-2021 | The cost filter under the Workflow tab is not functioning as expected. |
The upcoming releases will include the following key fixes to enhance user experience. It is important to note that while these issues exist, there is no immediate critical impact on using the product, and users can continue to utilize its functionality with confidence.
ID | Description |
|---|---|
Cost | |
DT-1879, DT-1871, DT-1853 | The following issues are observed in the Budget page.
|
UIX-6305 | The Others category is displayed twice in legends when the number of clusters exceeds 1000 in the Chargeback page. |
Compute | |
DT-2094 | The cluster ID is displayed instead of the Cluster name for certain clusters. |
DT-2079 | The cluster cost displayed does not match the Azure billing report in some scenarios. |
DT-2083 | The Total Allocated Key Performance Indicators (KPIs) for Vcore and memory are not visible in the Compute > Trends page. |
UIX-6321 | All jobs in the running status are displayed in the Finished tab under Job Runs instead of showing only the finished jobs. |
Insights | |
DT-2006 | Recommendations are provided for a failed pipeline when users utilize multiple tasks with shared job clusters, and one of the tasks fails. |
DT-2125 | The UI shows a cost discrepancy for the Executor Idle time detected insight in the Databricks version 14.2 with Photon enabled. |
Reports | |
DT-1841 | The TopX Report displays an incorrect count of events. |
Spark | |
DT-1742 | The timezone for the NodeRightSizing insight event is inconsistent in the Spark details page. |
DT-2012 | Incorrect details are displayed on the AppSummary > Job Run page when a user repairs a previously failed job. The displayed information may not accurately reflect the repaired job's details. |
/DT-2029 | Applications in a success state may inaccurately display an associated job in a running state instead of transitioning to a failed state. |
DT-2141 | Clicking the line number in the Program tab does not highlight the actual line of code in the Spark details App Summary page |
UIX-6523 | The Sort by Write feature is currently not functioning as expected in the Spark details page. |
SaaS (Free) | |
DT-2037 | In the Databricks Standard (free) environment, there is an issue where the User Flow badge obstructs pagination. |
Workflows | |
DT-2104 | Sorting is incorrect when the list contains both strings starting with capital and small case letters, |
Compute
Jobs by status graphs in the Trends tab display spark application details and not the job details. Our development is actively looking into this design limitation and efforts are underway to address this in future updates to enhance the product's capabilities. (DT-2008)
Workflows
The current implementation has a limitation where the wrong run count is displayed for the job ID when sorting by run count in the Workflows > Jobs section. This discrepancy is currently under investigation by our development team, and active efforts are being taken to resolve this issue. (UIX-6526)
Our development team is actively investigating the following Known issues and are working towards resolving them. It's important to note that while these issues exist, there is no immediate critical impact on using the product, and users can continue to utilize its functionality with confidence.
Bug ID | Description | Workaround |
|---|---|---|
App Store | ||
APP-614 | App Store tasks fail to start with SSL enabled on the MySQL database. | |
Compute | ||
PIPELINE-1636 | Inconsistent data is displayed for the cluster Duration and Start Time on the Compute page. | NA |
Cost | ||
UIX-5624 | Data is not displayed when you click the Optimize button corresponding to OTHERS for the Cost > Chargeback results shown in the table. | NA |
DT-1094 | The No data available message is displayed on the Compute page after navigating from the Trends and Chargeback pages with Tag filters. | NA |
UIX-6310 | On the Chargeback page, when no tag is provided for any application, NULL is displayed. Upon redirection from the Optimize link for the NULL tag, the Compute page shows all applications for the selected duration instead of specifically displaying applications with no tags. | NA |
Datapage | ||
DATAPAGE-502 | If tables are created with the same name, accessed, deleted, and re-created, and if those tables are re-accessed, then their query and app count do not match. | NA |
DATAPAGE-740 | The query to fetch tableDailyKPIs is getting timed out when dealing with a huge table partition of 27 million records. From a threshold perspective, it has been verified that the API functions without issues for partition sizes up to 18 million. | NA |
DATAPAGE-473 | For Hive metastore 3.1.0 or earlier versions, the creation time of partitions is not captured if a partition is created dynamically. Therefore, the Last Day KPI for the partition section is not shown in Unravel. | NA |
Insights | ||
DT-1987 | There is a mismatch in the computation of costs for fleet and spot instances in Databricks clusters. This issue arises due to the unavailability of the exact node type in the cluster info response. | NA |
UIX-5127, INSIGHTS-324,UIX-4176 | Link re-direction issues, such as incorrect data filters for viewing Top Groups by Cost and Top Clusters by Cost, as well as missing re-direction links in the App Acceleration section. | NA |
Performance | ||
PIPELINE-1926 | The Insight Worker daemon is experiencing performance lag, causing delays in processing insights and data analytics tasks. | NA |
ASI-933 | In the Lag setup, the Duration is not updated for running applications. The Duration should be updated every 15 minutes. | NA |
ASI-936 | In the Lag setup, the App Time data is missing in the Timing tab of many applications. | NA |
Spark | ||
DT-1404 | Jobs created for the PySpark application using User-Defined Functions on a job cluster fail after applying the recommendations for node downsizing. | |
PIPELINE-1616 | If the Spark job is not running for Databricks, the values for the Duration and End time fields are not updated on the Databricks Run Details page. | NA |
PLATFORM-2764 | You can see a lag for SQL Streaming applications. | NA |
UX-632 | The timeline histogram needs to be generated correctly on the Spark application details page. | NA |
PIPELINE-626 | For PySpark applications, the | NA |
UI | ||
UIX-5581 | The job run count displayed on the Chargeback page differs from the job count shown on the Workflow page. | NA |
PIPELINE-1935 | In the Pipeline details page, when you select the data for a specific date, all instances are displayed instead of displaying only the instances within a selected date. | NA |
UIX-6281 | The cost comparison for all the instances is not displayed on the Pipeline detail page. | NA |
PIPELINE-1934 | On the Pipeline details page, the arrows must point only to the latest run instead of all the runs. | NA |
UIX-6321 | In the Workflow section, instead of displaying only jobs completed within the selected time frame, it currently displays jobs running within the selected duration. | NA |
UIX-6263 | The | NA |
UIX-3536 | In the App summary page for Impala, the Query> Operator view is visible after scrolling down. | NA |
Workflows | ||
DT-1461, PIPELINE-1939, PIPELINE-1940, DT-1093, UIX-6274, PIPELINE-1924 | The UI and data exhibit inconsistencies, including problems with job run details, issues related to multiple workflow runs and UTC timestamps , empty content in workflow job pages and issues with filter values and duration display. | NA |
PIPELINE-1626, PIPELINE-1946 | The Unravel UI has the issue of missing some Azure Databricks jobs and duplicate entries in Databricks workflow in certain scenarios. | NA |
App Store tasks fail to start with SSL enabled on the MySQL database. (APP-614)
Stop Unravel.
<Unravel installation directory>/unravel/manager stop
Use an editor to open
<Installation_directory>/unravel/data/conf/unravel.yamlfile.In the
unravel.yamlfile, under the database > advanced > python_flags block, enter the path to the trusted certificates. For example, if Unravel is installed at /opt/unravel, you must edit theunravel.yamlfile as follows:unravel: ...snip... database: ...snip... advanced: python_flags: ssl_ca: /opt/unravel/data/certificates/trusted_certs.pem
Use the manager utility to upload the certificates.
<Unravel installation director>/manager config tls trust add --pem /path/to/certificate
For example: /opt/unravel/manager config tls trust add --pem /path/to/certificate
Enable the Truststore.
<Unravel installation directory>/manager config tls trust enable
Apply the changes and restart Unravel.
<Unravel installation directory>/unravel/manager config apply --restart
Jobs created for the PySpark application using User-Defined Functions on a job cluster fail after applying the recommendations for node downsizing. (DT-1404)
In your Databricks workspace, go to Configure Cluster > Advanced Options > Spark config .
Add and set the following property to true for spark.driver.extraJavaOptions and spark.executor.extraJavaOptions spark configurations:
Dcom.unraveldata.metrics.proctree.enable=true
For example:
spark.executor.extraJavaOptions -Dcom.unraveldata.metrics.proctree.enable=true -javaagent:/dbfs/databricks/unravel/unravel-agent-pack-bin/btrace-agent.jar=config=executor,libs=spark-3.0 spark.driver.extraJavaOptions -Dcom.unraveldata.metrics.proctree.enable=true -javaagent:/dbfs/databricks/unravel/unravel-agent-pack-bin/btrace-agent.jar=config=driver,script=StreamingProbe.btclass,libs=spark-3.0