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Updated documentation for EMR to use python3.11 #1720

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4d48003
updated documentation for emr to use python3.11
Oct 22, 2025
3003ada
updated config for gpu
Oct 24, 2025
ed7cf40
removed gpu setup for now
Nov 2, 2025
aefb845
removed unnecessary files
Nov 2, 2025
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94 changes: 94 additions & 0 deletions platforms/emr-airgapped/README.md
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Expand Up @@ -164,6 +164,100 @@ Define the necessary Spark configuration parameters under the **Software Setting
}
]
```

**Config for python3.11**
```
[
{
"Classification": "spark",
"Properties": {
"maximizeResourceAllocation": "true"
}
},
{
"Classification": "spark-env",
"Configurations": [
{
"Classification": "export",
"Properties": {
"JSL_EMR": "1",
"PYSPARK_DRIVER_PYTHON": "/usr/bin/python3.11",
"PYSPARK_PYTHON": "/usr/bin/python3.11",
"SPARK_NLP_LICENSE": ""
}
}
],
"Properties": {}
},
{
"Classification": "yarn-env",
"Configurations": [
{
"Classification": "export",
"Properties": {
"JSL_EMR": "1",
"SPARK_NLP_LICENSE": ""
}
}
],
"Properties": {}
},
{
"Classification": "livy-env",
"Configurations": [
{
"Classification": "export",
"Properties": {
"PYSPARK_DRIVER_PYTHON": "/usr/bin/python3.11",
"PYSPARK_PYTHON": "/usr/bin/python3.11"
}
}
],
"Properties": {}
},
{
"Classification": "livy-conf",
"Properties": {
"livy.server.session.conf.spark.executorEnv.PYSPARK_PYTHON": "/usr/bin/python3.11",
"livy.server.session.conf.spark.pyspark.driver.python": "/usr/bin/python3.11",
"livy.server.session.conf.spark.pyspark.python": "/usr/bin/python3.11",
"livy.server.session.conf.spark.pyspark.virtualenv.enabled": "false",
"livy.server.session.conf.spark.yarn.appMasterEnv.PYSPARK_PYTHON": "/usr/bin/python3.11"
}
},
{
"Classification": "spark-defaults",
"Properties": {
"spark.driver.maxResultSize": "0",
"spark.dynamicAllocation.enabled": "true",
"spark.executorEnv.SPARK_NLP_LICENSE": "",
"spark.jsl.settings.aws.credentials.access_key_id": "",
"spark.jsl.settings.aws.credentials.secret_access_key": "",
"spark.jsl.settings.aws.region": "us-east-1",
"spark.jsl.settings.pretrained.credentials.access_key_id": "",
"spark.jsl.settings.pretrained.credentials.secret_access_key": "",
"spark.jsl.settings.storage.cluster_tmp_dir": "hdfs:///tmp",
"spark.kryoserializer.buffer.max": "2000M",
"spark.pyspark.driver.python": "/usr/bin/python3.11",
"spark.pyspark.python": "/usr/bin/python3.11",
"spark.rpc.message.maxSize": "1024",
"spark.serializer": "org.apache.spark.serializer.KryoSerializer",
"spark.yarn.appMasterEnv.SPARK_NLP_LICENSE": "",
"spark.yarn.preserve.staging.files": "true",
"spark.yarn.stagingDir": "hdfs:///tmp"
}
}
]
```

**For python 3.11**
To use python 3.11, you should specify the given block of config in your notebook's first shell.
```
%%configure -f
{ "conf": { "spark.yarn.appMasterEnv.PYSPARK_PYTHON": "/usr/bin/python3.11",
"spark.executorEnv.PYSPARK_PYTHON": "/usr/bin/python3.11" } }
```

**__Important__**
Make sure to replace all placeholder values (marked as `XYXYXYXYXY`) with the actual credentials provided with your license.
If your EMR cluster is truly **air-gapped**, you do **not** need to specify `access_key_id` or `secret_access_key` in the configuration — since the `pretrained()` function cannot be used to download models in an offline environment.
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