Doc: update hadoop document. (#5623)
* doc: update hadoop document. * fix: fix wording. * fix: fix wording. * fix: fix wording.
This commit is contained in:
		
							parent
							
								
									0f1cfd82ff
								
							
						
					
					
						commit
						f8f717a684
					
				
					 1 changed files with 2 additions and 2 deletions
				
			
		| 
						 | 
					@ -119,7 +119,7 @@ Follow the steps below if you need to run BigDL with [spark-submit](https://spar
 | 
				
			||||||
      --archives environment.tar.gz#environment \
 | 
					      --archives environment.tar.gz#environment \
 | 
				
			||||||
      script.py
 | 
					      script.py
 | 
				
			||||||
  ```
 | 
					  ```
 | 
				
			||||||
  Note: For `yarn-client`, the Spark driver is running on local and it will use the Python interpreter in the current active conda environment while the executors will use the Python interpreter in `environment.tar.gz`.
 | 
					  Note: For `yarn-cluster`, the Spark driver is running in a YARN container as well and thus both the driver and executors will use the Python interpreter in `environment.tar.gz`. If you want to operate HDFS as some certain user, you can add `spark.yarn.appMasterEnv.HADOOP_USER_NAME=username` to SparkConf.
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					
 | 
				
			||||||
  For `yarn-client` mode:
 | 
					  For `yarn-client` mode:
 | 
				
			||||||
| 
						 | 
					@ -134,4 +134,4 @@ Follow the steps below if you need to run BigDL with [spark-submit](https://spar
 | 
				
			||||||
      --archives environment.tar.gz#environment \
 | 
					      --archives environment.tar.gz#environment \
 | 
				
			||||||
      script.py
 | 
					      script.py
 | 
				
			||||||
  ```
 | 
					  ```
 | 
				
			||||||
  Note: For `yarn-cluster`, the Spark driver is running in a YARN container as well and thus both the driver and executors will use the Python interpreter in `environment.tar.gz`.
 | 
					  Note: For `yarn-client`, the Spark driver is running on local and it will use the Python interpreter in the current active conda environment while the executors will use the Python interpreter in `environment.tar.gz`.
 | 
				
			||||||
| 
						 | 
					
 | 
				
			||||||
		Loading…
	
		Reference in a new issue