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Doc: fix spark-submit command for yarn client and cluster mode. (#6595)

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* fix: fix yarn client and cluster spark submit command.

* fix: add properties to cluster mode spark submit command and related description.
This commit is contained in:
Cengguang Zhang 2022-11-14 20:41:03 +08:00 committed by GitHub
parent c80bb4b876
commit 4169d8cb05
1 changed files with 5 additions and 5 deletions
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10
docs/readthedocs/source/doc/Orca/Tutorial/yarn.md
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@ -330,11 +330,10 @@ ${SPARK_HOME}/bin/spark-submit \
--num-executors 2 \
--archives /path/to/environment.tar.gz#environment \
--properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
--py-files ${BIGDL_HOME}/python/bigdl-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,model.py \
--conf spark.pyspark.driver.python=/path/to/python \
--conf spark.pyspark.python=environment/bin/python \
--conf spark.driver.extraClassPath=${BIGDL_HOME}/jars/* \
--conf spark.executor.extraClassPath=${BIGDL_HOME}/jars/* \
--py-files ${BIGDL_HOME}/python/bigdl-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,model.py \
--jars ${BIGDL_HOME}/jars/bigdl-assembly-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
train.py --cluster_mode spark-submit --remote_dir hdfs://path/to/remote/data
```
In the `spark-submit` script:
@ -343,8 +342,7 @@ In the `spark-submit` script:
* `--properties-file`: the BigDL configuration properties to be uploaded to YARN.
* `--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.python`: set the Python location in conda archive as each executor's Python environment.
* `--conf spark.driver.extraClassPath`: upload and register the BigDL jars to the driver's classpath.
* `--conf spark.executor.extraClassPath`: upload and register the BigDL jars to the executor's classpath.
* `--jars`: upload and register BigDL jars to YARN.
#### 5.3.2 Yarn Cluster
@ -358,6 +356,7 @@ ${SPARK_HOME}/bin/spark-submit \
--executor-cores 4 \
--num-executors 2 \
--archives /path/to/environment.tar.gz#environment \
--properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
--conf spark.yarn.appMasterEnv.PYSPARK_PYTHON=environment/bin/python \
--conf spark.executorEnv.PYSPARK_PYTHON=environment/bin/python \
--py-files ${BIGDL_HOME}/python/bigdl-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,model.py \
@ -367,6 +366,7 @@ ${SPARK_HOME}/bin/spark-submit \
In the `spark-submit` script:
* `--master`: the spark master, set it to "yarn".
* `--deploy-mode`: set it to "cluster" when running programs on yarn-cluster mode.
* `--properties-file`: the BigDL configuration properties to be uploaded to YARN.
* `--conf spark.yarn.appMasterEnv.PYSPARK_PYTHON`: set the Python location in conda archive as the Python environment of the Application Master.
* `--conf spark.executorEnv.PYSPARK_PYTHON`: also set the Python location in conda archive as each executor's Python environment. The Application Master and the executors will all use the archive for the Python environment.
* `--jars`: upload and register BigDL jars to YARN.