Hadoop-HA-Hive-on-Spark 4台虚拟机安装配置文件
版本号步骤hadoopcore-site.xmlhdfs-site.xmlmapred-site.xmlslavesworkersyarn-site.xml
hivehive-site.xmlspark-defaults.conf
sparkhdfs-site.xmlhive-site.xmlslavesyarn-site.xmlspark-env.sh
版本号
apache-hive-3.1.3-bin.tar spark-3.0.0-bin-hadoop3.2.tgz hadoop-3.1.3.tar.gz
步骤
在hdfs上新建 spark-history（设置权限777），spark-jars文件夹 上传jar到hdfs
hdfs dfs -D dfs.replication=1 -put ./* /spark-jars
hadoop
core-site.xml
hdfs-site.xml
mapred-site.xml
slaves
node15
node16
node17
node18
workers
node15
node16
node17
node18
yarn-site.xml
hive
hive-site.xml
spark-defaults.conf
spark.master yarn
spark.eventLog.enabled true
spark.eventLog.dir hdfs://node15:9000/spark-history
spark.executor.memory 600m
spark.driver.memory 600m
spark
hdfs-site.xml
链接hadoop中的文件 ln -s 源文件名 新文件名
hive-site.xml
链接hive中的文件 ln -s 源文件名 新文件名
slaves
node15
node16
node17
node18
yarn-site.xml
链接hadoop中的文件 ln -s 源文件名 新文件名
spark-env.sh
#!/usr/bin/env bash
#
# 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.
#
export SCALA_HOME=/usr/share/scala
export JAVA_HOME=/usr/java/jdk1.8.0_241-amd64
export SPARK_HOME=/opt/spark-3.0.0-bin-hadoop3.2
export SPARK_MASTER_IP=192.168.206.215
export SPARK_MASTER_PORT=7077
export SPARK_MASTER_WEBUI_PORT=7080 #spark的web访问端口默认是8080，防止可能存在端口冲突，可以修
改端口号为其他的export SPARK_WORKER_CORES=1
export SPARK_WORKER_INSTANCES=1
export SPARK_EXECUTOR_MEMORY=512M
export SPARK_WORKER_MEMORY=1G
export SPARK_DIST_CLASSPATH=$(/opt/hadoop-3.1.3/bin/hadoop classpath)
export HADOOP_CONF_DIR=/opt/hadoop-3.1.3/etc/hadoop
# This file is sourced when running various Spark programs.
# Copy it as spark-env.sh and edit that to configure Spark for your site.
# Options read when launching programs locally with
# ./bin/run-example or ./bin/spark-submit
# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
# - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
# - SPARK_PUBLIC_DNS, to set the public dns name of the driver program
# Options read by executors and drivers running inside the cluster
# - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
# - SPARK_PUBLIC_DNS, to set the public DNS name of the driver program
# - SPARK_LOCAL_DIRS, storage directories to use on this node for shuffle and RDD data
# - MESOS_NATIVE_JAVA_LIBRARY, to point to your libmesos.so if you use Mesos
# Options read in YARN client/cluster mode
# - SPARK_CONF_DIR, Alternate conf dir. (Default: ${SPARK_HOME}/conf)
# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
# - YARN_CONF_DIR, to point Spark towards YARN configuration files when you use YARN
# - SPARK_EXECUTOR_CORES, Number of cores for the executors (Default: 1).
# - SPARK_EXECUTOR_MEMORY, Memory per Executor (e.g. 1000M, 2G) (Default: 1G)
# - SPARK_DRIVER_MEMORY, Memory for Driver (e.g. 1000M, 2G) (Default: 1G)
# Options for the daemons used in the standalone deploy mode
# - SPARK_MASTER_HOST, to bind the master to a different IP address or hostname
# - SPARK_MASTER_PORT / SPARK_MASTER_WEBUI_PORT, to use non-default ports for the master
# - SPARK_MASTER_OPTS, to set config properties only for the master (e.g. "-Dx=y")
# - SPARK_WORKER_CORES, to set the number of cores to use on this machine
# - SPARK_WORKER_MEMORY, to set how much total memory workers have to give executors (e.g. 1000m, 2
g)# - SPARK_WORKER_PORT / SPARK_WORKER_WEBUI_PORT, to use non-default ports for the worker
# - SPARK_WORKER_DIR, to set the working directory of worker processes
# - SPARK_WORKER_OPTS, to set config properties only for the worker (e.g. "-Dx=y")
# - SPARK_DAEMON_MEMORY, to allocate to the master, worker and history server themselves (default:
1g).# - SPARK_HISTORY_OPTS, to set config properties only for the history server (e.g. "-Dx=y")
# - SPARK_SHUFFLE_OPTS, to set config properties only for the external shuffle service (e.g. "-Dx=y
")# - SPARK_DAEMON_JAVA_OPTS, to set config properties for all daemons (e.g. "-Dx=y")
# - SPARK_DAEMON_CLASSPATH, to set the classpath for all daemons
# - SPARK_PUBLIC_DNS, to set the public dns name of the master or workers
# Options for launcher
# - SPARK_LAUNCHER_OPTS, to set config properties and Java options for the launcher (e.g. "-Dx=y")
# Generic options for the daemons used in the standalone deploy mode
# - SPARK_CONF_DIR Alternate conf dir. (Default: ${SPARK_HOME}/conf)
# - SPARK_LOG_DIR Where log files are stored. (Default: ${SPARK_HOME}/logs)
# - SPARK_PID_DIR Where the pid file is stored. (Default: /tmp)
# - SPARK_IDENT_STRING A string representing this instance of spark. (Default: $USER)
# - SPARK_NICENESS The scheduling priority for daemons. (Default: 0)
# - SPARK_NO_DAEMONIZE Run the proposed command in the foreground. It will not output a PID file.
# Options for native BLAS, like Intel MKL, OpenBLAS, and so on.
# You might get better performance to enable these options if using native BLAS (see SPARK-21305).
# - MKL_NUM_THREADS=1 Disable multi-threading of Intel MKL
# - OPENBLAS_NUM_THREADS=1 Disable multi-threading of OpenBLAS
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