# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# 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
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""Task Spark."""
from __future__ import annotations
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: ProgramType | None = ProgramType.SCALA,
deploy_mode: DeployMode | None = DeployMode.CLUSTER,
app_name: str | None = None,
driver_cores: int | None = 1,
driver_memory: str | None = "512M",
num_executors: int | None = 2,
executor_memory: str | None = "2G",
executor_cores: int | None = 2,
main_args: str | None = None,
others: str | None = 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