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# 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
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# KIND, either express or implied. See the License for the
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# under the License.
"""Task Flink."""
from typing import Optional
from pydolphinscheduler.constants import TaskType
from pydolphinscheduler.core.engine import Engine, ProgramType
[docs]
class FlinkVersion(str):
"""Flink version, for now it just contain `HIGHT` and `LOW`."""
LOW_VERSION = "<1.10"
HIGHT_VERSION = ">=1.10"
[docs]
class DeployMode(str):
"""Flink deploy mode, for now it just contain `LOCAL` and `CLUSTER`."""
LOCAL = "local"
CLUSTER = "cluster"
[docs]
class Flink(Engine):
"""Task flink object, declare behavior for flink task to dolphinscheduler."""
_task_custom_attr = {
"deploy_mode",
"flink_version",
"slot",
"task_manager",
"job_manager_memory",
"task_manager_memory",
"app_name",
"parallelism",
"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,
flink_version: Optional[FlinkVersion] = FlinkVersion.LOW_VERSION,
app_name: Optional[str] = None,
job_manager_memory: Optional[str] = "1G",
task_manager_memory: Optional[str] = "2G",
slot: Optional[int] = 1,
task_manager: Optional[int] = 2,
parallelism: Optional[int] = 1,
main_args: Optional[str] = None,
others: Optional[str] = None,
*args,
**kwargs
):
super().__init__(
name,
TaskType.FLINK,
main_class,
main_package,
program_type,
*args,
**kwargs
)
self.deploy_mode = deploy_mode
self.flink_version = flink_version
self.app_name = app_name
self.job_manager_memory = job_manager_memory
self.task_manager_memory = task_manager_memory
self.slot = slot
self.task_manager = task_manager
self.parallelism = parallelism
self.main_args = main_args
self.others = others