spark Python 源码
spark Python 代码
文件路径：/core/src/main/scala/org/apache/spark/internal/config/Python.scala
/*
* 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.
*/
package org.apache.spark.internal.config
import java.util.concurrent.TimeUnit
import org.apache.spark.network.util.ByteUnit
private[spark] object Python {
val PYTHON_WORKER_REUSE = ConfigBuilder("spark.python.worker.reuse")
.version("1.2.0")
.booleanConf
.createWithDefault(true)
val PYTHON_TASK_KILL_TIMEOUT = ConfigBuilder("spark.python.task.killTimeout")
.version("2.2.2")
.timeConf(TimeUnit.MILLISECONDS)
.createWithDefaultString("2s")
val PYTHON_USE_DAEMON = ConfigBuilder("spark.python.use.daemon")
.version("2.3.0")
.booleanConf
.createWithDefault(true)
val PYTHON_DAEMON_MODULE = ConfigBuilder("spark.python.daemon.module")
.version("2.4.0")
.stringConf
.createOptional
val PYTHON_WORKER_MODULE = ConfigBuilder("spark.python.worker.module")
.version("2.4.0")
.stringConf
.createOptional
val PYSPARK_EXECUTOR_MEMORY = ConfigBuilder("spark.executor.pyspark.memory")
.version("2.4.0")
.bytesConf(ByteUnit.MiB)
.createOptional
val PYTHON_AUTH_SOCKET_TIMEOUT = ConfigBuilder("spark.python.authenticate.socketTimeout")
.internal()
.version("3.1.0")
.timeConf(TimeUnit.SECONDS)
.createWithDefaultString("15s")
val PYTHON_WORKER_FAULTHANLDER_ENABLED = ConfigBuilder("spark.python.worker.faulthandler.enabled")
.doc("When true, Python workers set up the faulthandler for the case when the Python worker " +
"exits unexpectedly (crashes), and shows the stack trace of the moment the Python worker " +
"crashes in the error message if captured successfully.")
.version("3.2.0")
.booleanConf
.createWithDefault(false)
}
相关信息
相关文章
0
赞
- 所属分类： 前端技术
- 本文标签：
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
6、 golang
-
7、 openharmony