Update yarn doc (#7566)

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Kai Huang 2023-02-16 09:44:33 +08:00 committed by GitHub
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@ -47,7 +47,7 @@ Please see more details in [Launching Spark on YARN](https://spark.apache.org/do
For **yarn-client** mode, you can directly find the driver logs in the console. For **yarn-client** mode, you can directly find the driver logs in the console.
For **yarn-cluster** mode, an `application_time_id` will be returned (`application_1668477395550_1045` in the following log) when the application master process is completed. For **yarn-cluster** mode, an `application_time_id` will be returned (`application_1668477395550_1045` in the following log) when the application master process completes.
```bash ```bash
23/02/15 15:30:26 INFO yarn.Client: Application report for application_1668477395550_1045 (state: FINISHED) 23/02/15 15:30:26 INFO yarn.Client: Application report for application_1668477395550_1045 (state: FINISHED)
@ -281,7 +281,7 @@ bigdl-submit \
``` ```
In the `bigdl-submit` script: In the `bigdl-submit` script:
* `--deploy-mode`: set it to `client` when running programs on yarn-client mode. * `--deploy-mode`: set it to `client` when running programs on yarn-client mode.
* `--conf spark.pyspark.driver.python`: set the activate Python location on __Client Node__ as the driver's Python environment. You can find it by running `which python`. * `--conf spark.pyspark.driver.python`: set the activate Python location on __Client Node__ as the driver's Python environment.
* `--conf spark.pyspark.python`: set the Python location in conda archive as each executor's Python environment. * `--conf spark.pyspark.python`: set the Python location in conda archive as each executor's Python environment.
@ -373,7 +373,7 @@ ${SPARK_HOME}/bin/spark-submit \
``` ```
In the `spark-submit` script: In the `spark-submit` script:
* `--deploy-mode`: set it to `client` when running programs on yarn-client mode. * `--deploy-mode`: set it to `client` when running programs on yarn-client mode.
* `--conf spark.pyspark.driver.python`: set the activate Python location on __Client Node__ as the driver's Python environment. You can find the location by running `which python`. * `--conf spark.pyspark.driver.python`: set the activate Python location on __Client Node__ as the driver's Python environment.
* `--conf spark.pyspark.python`: set the Python location in conda archive as each executor's Python environment. * `--conf spark.pyspark.python`: set the Python location in conda archive as each executor's Python environment.
#### 5.3.2 Yarn Cluster #### 5.3.2 Yarn Cluster