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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""Task Spark."""
from typing import Optional
from pydolphinscheduler.constants import TaskType
from pydolphinscheduler.core.engine import Engine, ProgramType
[docs]
class DeployMode(str):
"""SPARK deploy mode, for now it just contain `LOCAL`, `CLIENT` and `CLUSTER`."""
LOCAL = "local"
CLIENT = "client"
CLUSTER = "cluster"
[docs]
class Spark(Engine):
"""Task spark object, declare behavior for spark task to dolphinscheduler."""
_task_custom_attr = {
"deploy_mode",
"driver_cores",
"driver_memory",
"num_executors",
"executor_memory",
"executor_cores",
"app_name",
"main_args",
"others",
}
def __init__(
self,
name: str,
main_class: str,
main_package: str,
program_type: Optional[ProgramType] = ProgramType.SCALA,
deploy_mode: Optional[DeployMode] = DeployMode.CLUSTER,
app_name: Optional[str] = None,
driver_cores: Optional[int] = 1,
driver_memory: Optional[str] = "512M",
num_executors: Optional[int] = 2,
executor_memory: Optional[str] = "2G",
executor_cores: Optional[int] = 2,
main_args: Optional[str] = None,
others: Optional[str] = None,
*args,
**kwargs
):
super().__init__(
name,
TaskType.SPARK,
main_class,
main_package,
program_type,
*args,
**kwargs
)
self.deploy_mode = deploy_mode
self.app_name = app_name
self.driver_cores = driver_cores
self.driver_memory = driver_memory
self.num_executors = num_executors
self.executor_memory = executor_memory
self.executor_cores = executor_cores
self.main_args = main_args
self.others = others