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- EMR on TKE Operation Guide
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- Practical Tutorial
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- Contact Us
- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- EMR on CVM Operation Guide
- Planning Cluster
- Configuring Cluster
- Managing Cluster
- Instance Information
- Node Specification Management
- Checking and Updating Public IP
- Logging in to Clusters
- Cluster Scale-Out
- Cluster Scale-in
- Releasing Now
- Auto Scaling
- Graceful Scale-In
- Changing Configurations
- Automatic Replacement
- Exporting Software Configuration
- Cluster Scripts
- Cluster Termination
- Operation Logs
- Task Center
- Disk Management
- Managing Service
- Monitoring and Alarms
- Cluster Overview
- Node Status
- Service Status
- Cluster Event
- Log
- Application Analysis
- Cluster Inspection
- Java Analysis
- Monitoring Metrics
- Node Monitoring Metrics
- HDFS Monitoring Metrics
- YARN Monitoring Metrics
- ZooKeeper Monitoring Metrics
- HBase Monitoring Metrics
- Hive Monitoring Metrics
- Spark Monitoring Metrics
- Presto Monitoring Metrics
- Trino Monitoring Metrics
- ClickHouse Monitoring Metrics
- Druid Monitoring Metrics
- Kudu Monitoring Metrics
- Alluxio Monitoring Metrics
- PrestoSQL Monitoring Metrics
- Impala Monitoring Metrics
- Ranger Monitoring Metrics
- COSRanger Monitoring Metrics
- Doris Monitoring Metrics
- Kylin Monitoring Metrics
- Zeppelin Monitoring Metrics
- Oozie Monitoring Metrics
- Storm Monitoring Metrics
- Livy Monitoring Metrics
- Kyuubi Monitoring Metrics
- StarRocks Monitoring Metrics
- Kafka Monitoring Metrics
- Alarm Configurations
- Alarm Records
- EMR on TKE Operation Guide
- EMR Serverless HBase Operation Guide
- EMR Development Guide
- Hadoop Development Guide
- HDFS Common Operations
- HDFS Federation Management Development Guide
- HDFS Federation Management
- Submitting MapReduce Tasks
- Automatically Adding Task Nodes Without Assigning ApplicationMasters
- YARN Task Queue Management
- Practices on YARN Label Scheduling
- Hadoop Practical Tutorial
- Using API to Analyze Data in HDFS and COS
- Dumping YARN Job Logs to COS
- Spark Development Guide
- Hbase Development Guide
- Phoenix on Hbase Development Guide
- Hive Development Guide
- Presto Development Guide
- Sqoop Development Guide
- Hue Development Guide
- Oozie Development Guide
- Flume Development Guide
- Kerberos Development Guide
- Knox Development Guide
- Alluxio Development Guide
- Kylin Development Guide
- Livy Development Guide
- Kyuubi Development Guide
- Zeppelin Development Guide
- Hudi Development Guide
- Superset Development Guide
- Impala Development Guide
- Druid Development Guide
- TensorFlow Development Guide
- Kudu Development Guide
- Ranger Development Guide
- Kafka Development Guide
- Iceberg Development Guide
- StarRocks Development Guide
- Flink Development Guide
- Hadoop Development Guide
- Practical Tutorial
- API Documentation
- FAQs
- Service Level Agreement
- Contact Us
Feature Introduction
Provides multi-dimensional metrics and detailed displays for StarRocks queries. The query list allows quick viewing of the query statement, query start time, query status, query duration, user, number of rows retrieved, total CPU time, total memory consumed, and other detailed metrics. You can also view related SQL, query plan, profile, and execution topology.
Directions
1. Log in to the EMR Console, and click the corresponding StarRocks Cluster ID/Name in the cluster list to enter the cluster details page.
2. On the cluster details page, click Cluster Services, then select Operations > Query Management in the top-right corner of the StarRocks component to view the related query list. Some column headers support filtering or sorting, and multi-dimensional composite filtering is available. You can also customize the query duration to filter for slow queries.
3. Click Operation Operation Column > Details in the far-right column of the query list to view the query statement, query plan, profile, execution DAG, and operator order.
Note:
StarRocks Query Management currently supports only StarRocks V1.4.0 and later. For StarRocks V1.4.0 clusters purchased after September 12, 2023, the query management feature will be enabled by default, and an emr_admin user will be created for system query information collection. For StarRocks V1.4.0 clusters created before September 12, 2023, Submit a Ticket to contact support for assessment and activation of StarRocks Query Management.
Before a query is executed, enter set enable_profile=true in the command to print the profile of the current session’s SQL query. Additionally, the collection service will automatically gather the profile of the submitted SQL in that session.
The visualization feature for execution DAG and operator order in StarRocks Query Management is currently supported only in StarRocks V3.1.8 and later versions. This feature requires Profile collection to be enabled.
To ensure stable operation of cluster services, queries with an execution time of less than 200 ms will be downgraded and ignored. Parameters related to the query collection downgrade policy can be modified by Submitting a Ticket.
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