分布式调度框架。
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# 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.
"""Test Task Spark."""
from unittest.mock import patch
from pydolphinscheduler.tasks.spark import DeployMode, ProgramType, Spark
@patch(
"pydolphinscheduler.core.engine.Engine.get_resource_info",
return_value=({"id": 1, "name": "test"}),
)
def test_spark_get_define(mock_resource):
"""Test task spark function get_define."""
code = 123
version = 1
name = "test_spark_get_define"
main_class = "org.apache.spark.test_main_class"
main_package = "test_main_package"
program_type = ProgramType.JAVA
deploy_mode = DeployMode.LOCAL
expect = {
"code": code,
"name": name,
"version": 1,
"description": None,
"delayTime": 0,
"taskType": "SPARK",
"taskParams": {
"mainClass": main_class,
"mainJar": {
"id": 1,
},
"programType": program_type,
"deployMode": deploy_mode,
"driverCores": 1,
"driverMemory": "512M",
"numExecutors": 2,
"executorMemory": "2G",
"executorCores": 2,
"appName": None,
"mainArgs": None,
"others": None,
"localParams": [],
"resourceList": [],
"dependence": {},
"conditionResult": {"successNode": [""], "failedNode": [""]},
"waitStartTimeout": {},
},
"flag": "YES",
"taskPriority": "MEDIUM",
"workerGroup": "default",
"environmentCode": None,
"failRetryTimes": 0,
"failRetryInterval": 1,
"timeoutFlag": "CLOSE",
"timeoutNotifyStrategy": None,
"timeout": 0,
}
with patch(
"pydolphinscheduler.core.task.Task.gen_code_and_version",
return_value=(code, version),
):
task = Spark(name, main_class, main_package, program_type, deploy_mode)
assert task.get_define() == expect