spark CommandLineUtils 源码
spark CommandLineUtils 代码
文件路径:/core/src/main/scala/org/apache/spark/util/CommandLineUtils.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.util
import java.io.PrintStream
/**
* Contains basic command line parsing functionality and methods to parse some common Spark CLI
* options.
*/
private[spark] trait CommandLineUtils extends CommandLineLoggingUtils {
def main(args: Array[String]): Unit
}
private[spark] trait CommandLineLoggingUtils {
// Exposed for testing
private[spark] var exitFn: Int => Unit = (exitCode: Int) => System.exit(exitCode)
private[spark] var printStream: PrintStream = System.err
// scalastyle:off println
private[spark] def printMessage(str: String): Unit = printStream.println(str)
// scalastyle:on println
private[spark] def printErrorAndExit(str: String): Unit = {
printMessage("Error: " + str)
printMessage("Run with --help for usage help or --verbose for debug output")
exitFn(1)
}
}
相关信息
相关文章
spark ByteBufferInputStream 源码
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
-
8、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦