Elastic MapReduce
- Release Notes and Announcements
- Announcements
- Security Announcements
- Product Introduction
- Product release
- Purchase Guide
- EMR on CVM Billing Instructions
- EMR on TKE Billing Instructions
- EMR Serverless HBase Billing Instructions
- Getting Started
- EMR on CVM Operation Guide
- Planning Cluster
- Cross-AZ Cluster
- Configuring Cluster
- Administrative rights
- Managing Cluster
- Auto Scaling
- Disk Management
- Managing Service
- Configuration Management
- YARN Resource Scheduling
- Monitoring and Alarms
- Application Analysis
- Monitoring Metrics
- EMR on TKE Operation Guide
- Configuring Cluster
- Permission Management
- Cluster Management
- Service Management
- Configuration Management
- Monitoring and Ops
- Application Analysis
- EMR Serverless HBase Operation Guide
- Planning an Instance
- Managing an Instance
- Monitoring and Alarms
- Development Guide
- EMR Development Guide
- Hadoop Development Guide
- Spark Development Guide
- Hbase Development Guide
- Phoenix on Hbase Development Guide
- Hive Development Guide
- Basic Hive Operations
- Advanced Usage
- Presto Development Guide
- Sqoop Development Guide
- Hue 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
- Ranger User Guide
- Kafka Development Guide
- StarRocks Development Guide
- Flink Development Guide
- Practical Tutorial
- Practice of EMR on CVM Ops
- Data Migration
- Practical Tutorial on Custom Scaling
- Practical Tutorial on Setting Scaling Rules
- API Documentation
- Making API Requests
- Cluster Resource Management APIs
- Cluster Services APIs
- FAQs
- EMR on CVM
Spark Environment Info
Last updated: 2025-01-03 14:50:16
EMR supports Spark 3.x and 2.x. The software environment information is as follows:
By default, Spark is installed on a master node.
After logging in, run the
su hadoop command to switch to the hadoop user.The Spark software path is
/usr/local/service/spark.The relevant logs are stored in
/data/emr.The above is mainly about how to access COS by using Spark. For more information, see the community documentation.
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