Key Features of Workload Experience Manager Lists the key features of Workload Experience Manager. Default Time RangeWorkload XM enables you to choose a time period in which your workload results are displayed for analysis and troubleshooting. Understanding the Clusters PageDescribes 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 PageDescribes 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 WidgetDescribes the Tables chart, which lists the data table names in your data warehouse and how often they are queried.File Size ReportingThe 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 MetricDescribes the Baseline metric feature of the Data Engineering Jobs page. Spark RDD Health CheckThe 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 ViewsDescribes 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 AnalysisDescribes how to access the Workload XM workload view feature where you define your workload views.Comparing a Job with the Previous RunDescribes how to access the Job Comparison feature, which compares two different runs of the same job.Repair Table Statistic IssuesWhen 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 DataThe 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 PublisherYou 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 ImprovementsLists the Workload XM usability improvements.
