Spark 2.4.0 集成Hive 1.2.1

時間 2019-11-13

標籤 spark 2.4.0 集成 hive 1.2.1 欄目 Spark 简体版

原文原文鏈接

Spark 2.4.0 集成Hive 1.2.1

官網文檔

https://spark.apache.org/docs/2.4.0/spark-standalone.html

技能標籤

spark-2.4.0-bin-hadoop2.7.tgz 集成Hive 1.2.1
學會安裝Spark 2.4.0 standalone模式環境安裝
Spark 集羣環境maste，worker,history server 啓動中止命令
Spark master,worker,history server 配置和管理界面查看
Spark shell 終端執行交互式命令，Spark shell 做業監控
WorldCount案例運行，界面查看
Spark master,worker,history,executor 日誌查看
官網: http://spark.apache.org/docs/latest/spark-standalone.html

前置條件

已安裝好java(選用的是java 1.8.0_191)
已安裝好scala(選用的是scala 2.11.121)
已安裝好hadoop(選用的是Hadoop-2.9.2)
hadoop,hive 版本選擇，根據spark默認捆綁hive1.2.1版本，不支持hadoop 3.0 以上的版本，因此選的 Hadoop 是3.0如下的版本，這樣不須要從新編譯Spark,固然，能夠手動編譯Spark,這樣就能夠對Hive,Hadoop,自行選擇

安裝

下載安裝包 : spark-2.4.0-bin-hadoop2.7.tgz
安裝包下載地址: https://archive.apache.org/dist/spark/spark-2.4.0/spark-2.4.0-bin-hadoop2.7.tgz
將安裝包上傳到服務器上進行安裝
解壓壓縮包

tar -zxvf spark-2.4.0-bin-hadoop2.7.tgz -C /opt/module/bigdata/

配置環境變量(配的是~/.bashrc)

export JAVA_HOME=/opt/module/jdk/jdk1.8.0_191
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar

export SCALA_HOME=/opt/module/scala/scala-2.11.12
export HADOOP_HOME=/opt/module/bigdata/hadoop-2.9.2
export SPARK_HOME=/opt/module/bigdata/spark-2.4.0-bin-hadoop2.7
export PATH=$JAVA_HOME/bin:$SCALA_HOME/bin:$SPARK_HOME/bin:$SPARK_HOME/sbin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH

配置

配置hadoop的classpath

下載不帶hadoop依賴jar的spark版本
須要在spark配置中指定hadoop的classpath
配置文件spark-env.sh

### in conf/spark-env.sh ###

# If 'hadoop' binary is on your PATH
export SPARK_DIST_CLASSPATH=$(hadoop classpath)

# With explicit path to 'hadoop' binary
export SPARK_DIST_CLASSPATH=$(/path/to/hadoop/bin/hadoop classpath)

# Passing a Hadoop configuration directory
export SPARK_DIST_CLASSPATH=$(hadoop --config /path/to/configs classpath)

spark-env.sh配置

#!/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.
#

# 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, 2g)
# - 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

# 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

# Passing a Hadoop configuration directory
export SPARK_DIST_CLASSPATH=$(hadoop classpath)

#master setting
SPARK_MASTER_HOST=standalone.com #綁定master的主機域名
SPARK_MASTER_PORT=7077 # master 通訊端口,worker和master通訊端口
SPARK_MASTER_WEBUI_PORT=8080 # master SParkUI用的端口

# worker setting

SPARK_WORKER_MEMORY=1g #配置worker的內存大小

slaves配置

配置路徑$SPARK_HOME/conf/slaves

standalone.com

history server 配置

配置 $SPARK_HOME/conf/spark-defaults.conf
注意spark.eventLog.dir 和spark.history.fs.logDirectory 要相同路徑

#
# 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.
#

# Default system properties included when running spark-submit.
# This is useful for setting default environmental settings.

# Example:
# spark.master                     spark://master:7077
# spark.eventLog.enabled           true
# spark.eventLog.dir               hdfs://namenode:8021/directory
# spark.serializer                 org.apache.spark.serializer.KryoSerializer
# spark.driver.memory              5g
# spark.executor.extraJavaOptions  -XX:+PrintGCDetails -Dkey=value -Dnumbers="one two three"



# history 
spark.master=spark://standalone.com:7077
spark.eventLog.enabled=true
spark.eventLog.dir=hdfs://standalone.com:9000/spark/log/historyEventLog
spark.serializer=org.apache.spark.serializer.KryoSerializer
spark.driver.memory=1g
spark.history.fs.logDirectory=hdfs://standalone.com:9000/spark/log/historyEventLog

spark.history.ui.port=18080
spark.history.fs.update.interval=10s
#	The number of application UIs to retain. If this cap is exceeded, then the oldest applications will be removed.
spark.history.retainedApplications=50
spark.history.fs.cleaner.enabled=false
spark.history.fs.cleaner.interval=1d
spark.history.fs.cleaner.maxAge=7d
spark.history.ui.acls.enable=false

spark 集成Hive 配置

把Hive配置文件 hive-site.xml 得制到 $SPARK_HOME/conf/目錄下
hive-site.xml

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>
  <property>
    <name>hive.metastore.warehouse.dir</name>
    <value>/user/hive/warehouse</value>
  </property>

  <property>
    <name>hive.exec.scratchdir</name>
    <value>/tmp/hive</value>
  </property>

  <property>
    <name>javax.jdo.option.ConnectionURL</name>
    <value>jdbc:mysql://macbookmysql.com:3306/hive?createDatabaseIfNotExist=true</value>
    <description>JDBC connect string for a JDBC metastore</description>
  </property>
  <property>
    <name>javax.jdo.option.ConnectionDriverName</name>
    <value>com.mysql.cj.jdbc.Driver</value>
    <description>Driver class name for a JDBC metastore</description>
  </property>
  <property>
    <name>javax.jdo.option.ConnectionUserName</name>
    <value>admin</value>
    <description>username to use against metastore database</description>
  </property>
  <property>
    <name>javax.jdo.option.ConnectionPassword</name>
    <value>000000</value>
    <description>password to use against metastore database</description>
  </property>

  <property>
    <name>hive.metastore.schema.verification</name>
    <value>false</value>
  </property>

  <property>
    <name>hive.metastore.uris</name>
    <value>thrift://standalone.com:9083</value>
    <description>Thrift URI for remote metastore.Used by metastore client to connect to                 remote metastore</description>
  </property>


</configuration>

配置mysql 驅動

mysql驅動以mysql數據庫安裝的版本選用

cp mysql-connector-java-8.0.13.jar  $SPARK_HOME/jars/

master

master啓動命令

默認master日誌路徑 $SPARK_HOME/logs/--org.apache.spark.deploy.master.Master--.out

start-master.sh

master中止命令

stop-master.sh

worker

master啓動命令

默認worker日誌路徑 $SPARK_HOME/logs/--org.apache.spark.deploy.master.Worker--.out

start-slave.sh spark://standalone.com:7077

worker中止命令

stop-slave.sh

啓動全部worker命令

配置 $SPARK_HOME/conf/slaves 全部worker配置

start-slaves.sh spark://standalone.com:7077

中止全部worker命令

stop-slaves.sh

啓動spark-shell命令

啓動spark-shell後能夠在界面管理: http://standalone:4040

spark-shell

WorldCount 示例

val rdd = sc.textFile("/home/liuwen/data/a.txt").flatMap(_.split(" ")).map((_,1)).reduceByKey(_+_)
rdd.saveAsTextFile("hdfs://standalone.com:9000/opt/temp/output_b_4")