Homepage/Workload XM2.1.3

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1. Cloudera Manager
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Workload XM On-Prem

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Workload XM On-Prem
▶︎Release Notes
▼Overview
▶︎Installing
▶︎Cluster Optimization
▶︎Reference

Activating the Workload XM Parcel
Adding a Proxy Server
Adding the Phoenix Query Server Role
Analyze Workloads from Auto-Generated Workload Views
Architecture
Associating a Workload Cluster with Telemetry Publisher
Classifying Workloads for Analysis with Workload Views
Cluster Optimization
Collecting Workload XM Diagnostic Metrics
Comparing a Job with the Previous Run
Configure Performance Improvements
Configure the Java Heap Requirements
Configuring Kerberos
Configuring Telemetry Publisher
Configuring TLS
Configuring your Firewall
Confirm Installation of Main Components
Data Engineering Health Checks
Data Warehouse Health Checks
Data Warehouse Query Status
Data Warehouse Statement Types
Default Time Range
Defining Workload Views Manually
Deploying the Installation Files
Deploying Workload XM
Determining the Cause of Slow and Failed Queries
Diagnostic Metrics Collection Details
Disabling Redaction for Testing
Displaying File Size Metadata
Displaying the Metadata of a Table
Downloading the Installation Files
Enabling File Size Reports
Enabling Key Trustee Keys
Enabling Phoenix Operations in HBase
Enabling the Telemetry Publisher Service
Failure Creating a Phoenix Schema
File Size Reporting
Granting Local Authentication
Granting User Access
Hardware Requirements
Identifying File Size Storage Issues
Incorrect Installation Parcel Placement
Installation Prerequisites
Installing
Key Features of Workload Experience Manager
Known Issues
Laying Out Components
LDAP Authentication Properties
Logging in to the Workload XM Web User Interface
Metric Sources Sent to Workload XM
Network Port Requirements
On-Premises Installation Overview
Overview
Potential SQL Issues
Proxy Server Support for Telemetry Publisher
Redacting Data
Redacting Log and Query Data
Redacting MapReduce Data
Redacting Spark Data
Redaction Capabilities for Diagnostic Data
Reference
Release Notes
Release Overview
Repair Table Statistic Issues
Securing the Workload XM Service Data
Spark RDD Health Check
Specifying a time range
Supported Cloudera Versions
Supported File Systems
Supported Operating Systems
Suppress Sensitive Data
System Requirements
Telemetry Publisher Pre-tasks
Troubleshooting Abnormal Job Durations
Troubleshooting Failed Jobs
Troubleshooting Installation Issues
Troubleshooting with the Job Comparison Feature
Understanding the Baseline Metric
Understanding the Clusters Page
Understanding the Data Warehouse Summary Page
Understanding the Tables Widget
Understanding Workload XM
Upgrading version 2.0.0 to 2.1.3 of Workload XM
Upgrading version 2.1.0 to 2.1.3 of Workload XM
Upgrading Workload XM
Usability Improvements
What's New in Workload XM
Working with Auto Generated Workload Views
Working with Workload XM
Workload Classification for Deep-dive Analysis
Workload XM On-Prem
Workload XM Reference Overview

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Key Features of Workload Experience Manager

Understanding Workload XM
▶︎Collecting Workload XM Diagnostic Metrics
▼Key Features of Workload Experience Manager

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Key Features of Workload Experience Manager

Lists the key features of Workload Experience Manager.

Default Time Range
Workload XM enables you to choose a time period in which your workload results are displayed for analysis and troubleshooting.
Understanding the Clusters Page
Describes the features in the Clusters page, which lists your clusters, the services that use them, the last time they were updated, and whether you enabled the daily cluster report.
Understanding the Data Warehouse Summary Page
Describes the features of the Data Warehouse Summary page, which displays the current state of the jobs and queries that were run on your cluster.
Understanding the Tables Widget
Describes the Tables chart, which lists the data table names in your data warehouse and how often they are queried.
File Size Reporting
The file size reporting feature in Workload XM enables you to identify databases and tables where the data is stored inefficiently, such as in small files or partitions, that can cause performance issues.
Understanding the Baseline Metric
Describes the Baseline metric feature of the Data Engineering Jobs page.
Spark RDD Health Check
The Spark RDD health check informs you when you have redundant Resilient Distributed Datasets (RDD) cache. Workload XM displays the location of the cache so that you can remove it and save executor memory.
Analyze Workloads from Auto-Generated Workload Views
Describes how to access the auto-generated predefined Workload XM workload views, which enable you to immediately start analyzing jobs on your cluster without having to perform an initial analysis that determines which criteria to use when creating a new workload view.
Workload Classification for Deep-dive Analysis
Describes how to access the Workload XM workload view feature where you define your workload views.
Comparing a Job with the Previous Run
Describes how to access the Job Comparison feature, which compares two different runs of the same job.
Repair Table Statistic Issues
When your queries trigger either the Corrupt Table Statistics or the Missing Table Statistics health checks, Workload XM generates SQL code for you to copy and run on your cluster to address these issues.
Suppress Sensitive Data
The suppression of sensitive data is controlled by setting the log and query redaction configuration in Cloudera Manager for the Telemetry Publisher service. By default, this configuration is enabled.
Proxy Server Support for Telemetry Publisher
You can configure the Telemetry Publisher service to send metrics as well as configuration and log files to Workload XM by way of a proxy server for database and Altus metrics uploads. This intermediary gateway also adds extra security when sending your workload data to Workload XM.
Usability Improvements
Lists the Workload XM usability improvements.

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