Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Doc: update hadoop document. #5623

Merged
merged 4 commits into from
Sep 2, 2022
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions docs/readthedocs/source/doc/UserGuide/hadoop.md
Original file line number Diff line number Diff line change
Expand Up @@ -119,7 +119,7 @@ Follow the steps below if you need to run BigDL with [spark-submit](https://spar
--archives environment.tar.gz#environment \
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:
Expand All @@ -134,4 +134,4 @@ Follow the steps below if you need to run BigDL with [spark-submit](https://spar
--archives environment.tar.gz#environment \
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`.