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raydp-spark-remote.py
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| import os | |
| import ray | |
| import raydp | |
| HEAD_SERVICE_IP_ENV = "EXAMPLE_CLUSTER_RAY_HEAD_SERVICE_HOST" | |
| HEAD_SERVICE_CLIENT_PORT_ENV = "EXAMPLE_CLUSTER_RAY_HEAD_SERVICE_PORT_CLIENT" | |
| head_service_ip = os.environ[HEAD_SERVICE_IP_ENV] | |
| client_port = os.environ[HEAD_SERVICE_CLIENT_PORT_ENV] | |
| ray.util.connect(f"{head_service_ip}:{client_port}") | |
| @ray.remote | |
| class SparkCluster: | |
| def __init__(self): | |
| self.spark = None | |
| def start(self): | |
| self.spark = raydp.init_spark('word_count', | |
| num_executors=2, | |
| executor_cores=1, | |
| executor_memory='1G') | |
| def run(self): | |
| df = self.spark.createDataFrame([('look',), ('spark',), ('tutorial',), ('spark',), ('look', ), ('python', )], ['word']) | |
| df.show() | |
| word_count = df.groupBy('word').count() | |
| word_count.show() | |
| def stop(self): | |
| raydp.stop_spark() | |
| spark = SparkCluster.remote() | |
| ray.get(spark.start.remote()) | |
| ray.get(spark.run.remote()) | |
| ray.get(spark.stop.remote()) |
if I stick to this code, I get errors
(base) ray@example-cluster-ray-head-xnk64:~$ python3 ray-spark-remote.py
(pid=None, ip=192.168.13.23) Setting default log level to "WARN".
(pid=None, ip=192.168.13.23) To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Traceback (most recent call last):
File "ray-spark-remote.py", line 34, in <module>
ray.get(spark.start.remote())
File "/home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 47, in wrapper
return getattr(ray, func.__name__)(*args, **kwargs)
File "/home/ray/anaconda3/lib/python3.7/site-packages/ray/util/client/api.py", line 35, in get
return self.worker.get(vals, timeout=timeout)
File "/home/ray/anaconda3/lib/python3.7/site-packages/ray/util/client/worker.py", line 198, in get
res = self._get(obj_ref, op_timeout)
File "/home/ray/anaconda3/lib/python3.7/site-packages/ray/util/client/worker.py", line 221, in _get
raise err
types.RayTaskError(Py4JError): ray::SparkCluster.start() (pid=350, ip=192.168.13.23)
File "python/ray/_raylet.pyx", line 505, in ray._raylet.execute_task
File "python/ray/_raylet.pyx", line 449, in ray._raylet.execute_task.function_executor
File "/home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/function_manager.py", line 566, in actor_method_executor
return method(__ray_actor, *args, **kwargs)
File "ray-spark-remote.py", line 21, in start
File "/home/ray/anaconda3/lib/python3.7/site-packages/raydp/context.py", line 122, in init_spark
return _global_spark_context.get_or_create_session()
File "/home/ray/anaconda3/lib/python3.7/site-packages/raydp/context.py", line 68, in get_or_create_session
spark_cluster = self._get_or_create_spark_cluster()
File "/home/ray/anaconda3/lib/python3.7/site-packages/raydp/context.py", line 62, in _get_or_create_spark_cluster
self._spark_cluster = SparkCluster()
File "/home/ray/anaconda3/lib/python3.7/site-packages/raydp/spark/ray_cluster.py", line 32, in __init__
self._set_up_master(None, None)
File "/home/ray/anaconda3/lib/python3.7/site-packages/raydp/spark/ray_cluster.py", line 38, in _set_up_master
self._app_master_bridge.start_up()
File "/home/ray/anaconda3/lib/python3.7/site-packages/raydp/spark/ray_cluster_master.py", line 57, in start_up
self._create_app_master(extra_classpath)
File "/home/ray/anaconda3/lib/python3.7/site-packages/raydp/spark/ray_cluster_master.py", line 166, in _create_app_master
self._app_master_java_bridge.startUpAppMaster(extra_classpath)
File "/home/ray/anaconda3/lib/python3.7/site-packages/py4j/java_gateway.py", line 1305, in __call__
answer, self.gateway_client, self.target_id, self.name)
File "/home/ray/anaconda3/lib/python3.7/site-packages/py4j/protocol.py", line 336, in get_return_value
format(target_id, ".", name))
py4j.protocol.Py4JError: An error occurred while calling o0.startUpAppMaster
In conclusion, I should ray.util.connect(f"{head_service_ip}:{client_port}") with @ray.remote and use ray.init(address="auto") with original codes.
Does XGBoost side need any changes?
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ray.util.connect(f"{head_service_ip}:{client_port}")ray.init(address="auto")and I get follow errors, it also shows above errors as well. not consistent.