bdcd6e4c68
## What changes were proposed in this pull request? Ensure that `HADOOP_CONF_DIR` or `YARN_CONF_DIR` points to the directory which contains the (client side) configuration files for the Hadoop cluster. These configs are used to write to HDFS and connect to the YARN ResourceManager. The configuration contained in this directory will be distributed to the YARN cluster so that all containers used by the application use the same configuration. Sometimes, `HADOOP_CONF_DIR` is set to the hdfs configuration file path. So, YARN_CONF_DIR should be set to the yarn configuration file path. My project configuration item of 'spark-env.sh ' is as follows:  'HADOOP_CONF_DIR' configuration file path. List the relevant documents below:  'YARN_CONF_DIR' configuration file path. List the relevant documents below:  So, 'Spark-env.sh.template' should add 'YARN_CONF_DIR' configuration instructions. ## How was this patch tested? manual tests Please review http://spark.apache.org/contributing.html before opening a pull request. Author: guoxiaolong <guo.xiaolong1@zte.com.cn> Author: 郭小龙 10207633 <guo.xiaolong1@zte.com.cn> Author: guoxiaolongzte <guo.xiaolong1@zte.com.cn> Closes #18212 from guoxiaolongzte/SPARK-20995.
64 lines
3.7 KiB
Bash
Executable file
64 lines
3.7 KiB
Bash
Executable file
#!/usr/bin/env bash
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# This file is sourced when running various Spark programs.
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# Copy it as spark-env.sh and edit that to configure Spark for your site.
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# Options read when launching programs locally with
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# ./bin/run-example or ./bin/spark-submit
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# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
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# - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
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# - SPARK_PUBLIC_DNS, to set the public dns name of the driver program
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# Options read by executors and drivers running inside the cluster
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# - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
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# - SPARK_PUBLIC_DNS, to set the public DNS name of the driver program
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# - SPARK_LOCAL_DIRS, storage directories to use on this node for shuffle and RDD data
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# - MESOS_NATIVE_JAVA_LIBRARY, to point to your libmesos.so if you use Mesos
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# Options read in YARN client mode
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# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
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# - YARN_CONF_DIR, to point Spark towards YARN configuration files when you use YARN
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# - SPARK_EXECUTOR_CORES, Number of cores for the executors (Default: 1).
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# - SPARK_EXECUTOR_MEMORY, Memory per Executor (e.g. 1000M, 2G) (Default: 1G)
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# - SPARK_DRIVER_MEMORY, Memory for Driver (e.g. 1000M, 2G) (Default: 1G)
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# Options for the daemons used in the standalone deploy mode
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# - SPARK_MASTER_HOST, to bind the master to a different IP address or hostname
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# - SPARK_MASTER_PORT / SPARK_MASTER_WEBUI_PORT, to use non-default ports for the master
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# - SPARK_MASTER_OPTS, to set config properties only for the master (e.g. "-Dx=y")
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# - SPARK_WORKER_CORES, to set the number of cores to use on this machine
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# - SPARK_WORKER_MEMORY, to set how much total memory workers have to give executors (e.g. 1000m, 2g)
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# - SPARK_WORKER_PORT / SPARK_WORKER_WEBUI_PORT, to use non-default ports for the worker
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# - SPARK_WORKER_DIR, to set the working directory of worker processes
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# - SPARK_WORKER_OPTS, to set config properties only for the worker (e.g. "-Dx=y")
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# - SPARK_DAEMON_MEMORY, to allocate to the master, worker and history server themselves (default: 1g).
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# - SPARK_HISTORY_OPTS, to set config properties only for the history server (e.g. "-Dx=y")
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# - SPARK_SHUFFLE_OPTS, to set config properties only for the external shuffle service (e.g. "-Dx=y")
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# - SPARK_DAEMON_JAVA_OPTS, to set config properties for all daemons (e.g. "-Dx=y")
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# - SPARK_PUBLIC_DNS, to set the public dns name of the master or workers
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# Generic options for the daemons used in the standalone deploy mode
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# - SPARK_CONF_DIR Alternate conf dir. (Default: ${SPARK_HOME}/conf)
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# - SPARK_LOG_DIR Where log files are stored. (Default: ${SPARK_HOME}/logs)
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# - SPARK_PID_DIR Where the pid file is stored. (Default: /tmp)
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# - SPARK_IDENT_STRING A string representing this instance of spark. (Default: $USER)
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# - SPARK_NICENESS The scheduling priority for daemons. (Default: 0)
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# - SPARK_NO_DAEMONIZE Run the proposed command in the foreground. It will not output a PID file.
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