二进制all包多为spark2 scala2.11的所以源码编译本地相关版本兼容的包的及其它hadoop hive yarn 版本，源码git下载编译排错见前边文章，下为编译合适版本后的安装过程：

1.zeppelin081/conf/zeppelin-env.sh:

export MASTER=local[2]
#yarn-client
#export SCALA_HOME=/usr/share/scala
export SCALA_HOME=/opt/soft/scala-2.10.5
export HIVE_HOME=/opt/cloudera/parcels/CDH/lib/hive
#export SPARK_HOME=/opt/cloudera/parcels/SPARK2/lib/spark2
export SPARK_HOME=/opt/cloudera/parcels/CDH/lib/spark
export HADOOP_HOME=/opt/cloudera/parcels/CDH/lib/hadoop
if [ -n "$HADOOP_HOME" ]; thenexport LD_LIBRARY_PATH=$LD_LIBRARY_PATH:${HADOOP_HOME}/lib/native
fi#export SPARK_CONF_DIR=/etc/spark2/conf
export SPARK_CONF_DIR=/etc/spark/conf
export HIVE_CONF_DIR=/etc/hive/conf
export HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-/etc/hadoop/conf}
HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-$SPARK_CONF_DIR/yarn-conf}
HIVE_CONF_DIR=${HIVE_CONF_DIR:-/etc/hive/conf}
if [ -d "$HIVE_CONF_DIR" ]; thenHADOOP_CONF_DIR="$HADOOP_CONF_DIR:$HIVE_CONF_DIR"
fi
export HADOOP_CONF_DIRexport ZEPPELIN_INTP_CLASSPATH_OVERRIDES=/etc/hive/conf#export ZEPPELIN_INTP_CLASSPATH_OVERRIDES=:/etc/hive/conf:/usr/share/java/mysql-connector-java.jar:/opt/cloudera/parcels/CDH/lib/spark/lib/spark-assembly-1.6.0-cdh5.15.0-hadoop2.6.0-cdh5.15.0.jar:/opt/cloudera/parcels/CDH/jars/*:/opt/cloudera/parcels/CDH/lib/hive/lib/*:/opt/soft/zeppelin081/interpreter/spark/spark-interpreter-0.8.1.jar

2.ln -s /etc/hive/conf/hive-site.xml conf/

3.修改conf/zeppelin-site.xml 的启动端口号

4.bin/zeppelin-daemon.sh restart 启动 ，自动生成相关log run 和webapp目录

5.看日志报错：

vi logs/zeppelin-root-master.log：

Exception in thread "main" java.lang.NoClassDefFoundError: com/google/common
/collect/Queues

Caused by: java.lang.ClassNotFoundException: com.google.common.collect.Queues
解决：替换相关guava包  对应CDH lib目录相关版本

cp /opt/cloudera/parcels/CDH/lib/hive/lib/guava-14.0.1.jar lib/

还报错要guava-21

vi logs/zeppelin-root-master.out：

MultiException[java.lang.NoClassDefFoundError: com/fasterxml/jackson/core/Ve
rsioned, java.lang.NoClassDefFoundError: org/glassfish/jersey/jackson/intern
al/jackson/jaxrs/json/JacksonJaxbJsonProvider]
解决：替换相关jackson 包对应CDH lib目录相关版本

ls lib/|grep jackson
google-http-client-jackson-1.23.0.jar
google-http-client-jackson2-1.23.0.jar
jackson-annotations-2.8.0.jar.bak
jackson-core-2.8.10.jar.bak
jackson-core-asl-1.9.13.jar
jackson-databind-2.8.11.1.jar.bak
jackson-jaxrs-1.8.8.jar
jackson-mapper-asl-1.9.13.jar
jackson-module-jaxb-annotations-2.8.10.jar.bak
jackson-xc-1.8.8.jar
jersey-media-json-jackson-2.27.jar
[root@master zeppelin081]# cp /opt/cloudera/parcels/CDH/jars/jackson-annotations-2.1.0.jar lib/
[root@master zeppelin081]# cp /opt/cloudera/parcels/CDH/jars/jackson-core-2.1.0.jar lib/
[root@master zeppelin081]# cp /opt/cloudera/parcels/CDH/jars/jackson-databind-2.1.0.jar lib/
[root@master zeppelin081]# cp /opt/cloudera/parcels/CDH/jars/jackson-module-jaxb-annotations-2.1.0.jar lib/
试多版本都不行后查要scala版：

cp /opt/cloudera/parcels/CDH/jars/jackson*2.2.3*.jar lib/
[root@master zeppelin081]# ls lib/jackson-
jackson-annotations-2.1.0.jar.bak
jackson-annotations-2.2.2.jar.bak
jackson-annotations-2.2.3.jar
jackson-annotations-2.3.1.jar.bak
jackson-annotations-2.8.0.jar.bak
jackson-core-2.1.0.jar.bak
jackson-core-2.2.2.jar.bak
jackson-core-2.2.3.jar
jackson-core-2.8.10.jar.bak
jackson-core-asl-1.9.13.jar
jackson-databind-2.1.0.jar.bak
jackson-databind-2.2.2.jar.bak
jackson-databind-2.2.3.jar
jackson-databind-2.8.11.1.jar.bak
jackson-jaxrs-1.8.8.jar
jackson-mapper-asl-1.9.13.jar
jackson-module-jaxb-annotations-2.1.0.jar.bak
jackson-module-jaxb-annotations-2.8.10.jar.bak
jackson-module-scala_2.10-2.2.3.jar
jackson-xc-1.8.8.jar
终于搞定！！！

======然后开始打通测试各插件=======

spark interpreter:

master yarn-client

Dependencies

sc.getConf.toDebugString.split("\n").foreach(println)
sqlContext.sql("show tables").show

%sql
select area,count(cid) from default.dimcity
group by area

presto interpreter:(new jdbc)

default.driver    com.facebook.presto.jdbc.PrestoDriver

default.url   jdbc:presto://master:19000/hive/

default.user   root

Dependencies

%presto
-- SHOW SCHEMAS
select area,count(cid) from default.dimcity
group by area

phoenix interpreter:(new jdbc)

default.driver    org.apache.phoenix.jdbc.PhoenixDriver

default.url    jdbc:phoenix:master:2181:/hbase
default.user    hdfs

Dependencies

%phoenix
-- !tables -- 不支持
-- SHOW SCHEMAS -- 不支持
select * from SYSTEM.CATALOG --dim_channels --tc_district //HBASE 表名 必须大写才支持

hbase interpreter:

Dependencies (因zepplin自动编译为hbase1.0,要不指定版本重编，要不加载下边包覆盖)

%hbase
desc 'car_brand'
list 

elasticsearch interpreter:   参http://cwiki.apachecn.org/pages/viewpage.action?pageId=10030782 默认transport 9300

elasticsearch.client.type    http
elasticsearch.cluster.name    tuanchees
elasticsearch.host    172.16.60.182
elasticsearch.port    9200

%elasticsearch
search / 

file interpreter:

hdfs.maxlength    1000
hdfs.url    http://master:50070/webhdfs/v1/
hdfs.user    
Dependencies
artifact    exclude
/opt/cloudera/parcels/CDH/jars/jersey-client-1.9.jar    
/opt/cloudera/parcels/CDH/jars/jersey-core-1.9.jar    
/opt/cloudera/parcels/CDH/jars/jersey-guice-1.9.jar    
/opt/cloudera/parcels/CDH/jars/jersey-server-1.9.jar    
/opt/cloudera/parcels/CDH/jars/jersey-json-1.9.jar

%file
ls /

flink interpreter:

host    localhost
port    6123

%flink
val text = benv.fromElements("In the time of chimpanzees, I was a monkey",   // some lines of text to analyze
"Butane in my veins and I'm out to cut the junkie",
"With the plastic eyeballs, spray paint the vegetables",
"Dog food stalls with the beefcake pantyhose",
"Kill the headlights and put it in neutral",
"Stock car flamin' with a loser in the cruise control",
"Baby's in Reno with the Vitamin D",
"Got a couple of couches, sleep on the love seat",
"Someone came in sayin' I'm insane to complain",
"About a shotgun wedding and a stain on my shirt",
"Don't believe everything that you breathe",
"You get a parking violation and a maggot on your sleeve",
"So shave your face with some mace in the dark",
"Savin' all your food stamps and burnin' down the trailer park",
"Yo, cut it")
val counts = text.flatMap{ _.toLowerCase.split("\\W+") }.map { (_,1) }.groupBy(0).sum(1)counts.collect().foreach(println(_))// // Streaming Example
// case class WordWithCount(word: String, count: Long)// val text = env.socketTextStream(host, port, '\n')// val windowCounts = text.flatMap { w => w.split("\\s") }
//   .map { w => WordWithCount(w, 1) }
//   .keyBy("word")
//   .timeWindow(Time.seconds(5))
//   .sum("count")// windowCounts.print()
// // Batch Example
// case class WordWithCount(word: String, count: Long)// val text = env.readTextFile(path)// val counts = text.flatMap { w => w.split("\\s") }
//   .map { w => WordWithCount(w, 1) }
//   .groupBy("word")
//   .sum("count")// counts.writeAsCsv(outputPath)

=========spark-notebook============

spark-notebook相对简单下载解压Scala [2.10.5] Spark [1.6.0] Hadoop [2.6.0] {Hive ✓} {Parquet ✓}

一样连接 hive-site.xml:  ln -s /etc/hive/conf/hive-site.xml conf/

改端口：vi conf/application.ini

然后可以完全不动直接启后在改配置，但方便重启，写了个脚本

bin/start.sh
#!/bin/bash
export MASTER=local[2]
#yarn-client
#export SCALA_HOME=/usr/share/scala
export SCALA_HOME=/opt/soft/scala-2.10.5
export HIVE_HOME=/opt/cloudera/parcels/CDH/lib/hive
export SPARK_HOME=/opt/cloudera/parcels/CDH/lib/spark
export HADOOP_HOME=/opt/cloudera/parcels/CDH/lib/hadoop
if [ -n "$HADOOP_HOME" ]; thenexport LD_LIBRARY_PATH=$LD_LIBRARY_PATH:${HADOOP_HOME}/lib/native
fiexport SPARK_CONF_DIR=/etc/spark/conf
export HIVE_CONF_DIR=/etc/hive/conf
export HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-/etc/hadoop/conf}
HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-$SPARK_CONF_DIR/yarn-conf}
HIVE_CONF_DIR=${HIVE_CONF_DIR:-/etc/hive/conf}
if [ -d "$HIVE_CONF_DIR" ]; thenHADOOP_CONF_DIR="$HADOOP_CONF_DIR:$HIVE_CONF_DIR"
fi
export HADOOP_CONF_DIRworkdir=/opt/soft/spark-notebook
kill -9 `cat ${workdir}/RUNNING_PID`
rm -rf ${workdir}/derby.log ${workdir}/metastore_db ${workdir}/RUNNING_PID
${workdir}/bin/spark-notebook > snb.log 2>&1 &

开始一直连不上HIVE ，后来配置notebook metadata如下：(notebook metadata的配置参考http://master151:9002/assets/docs/clusters_clouds.html)

{"name": "test","user_save_timestamp": "1970-01-01T08:00:00.000Z","auto_save_timestamp": "1970-01-01T08:00:00.000Z","language_info": {"name": "scala","file_extension": "scala","codemirror_mode": "text/x-scala"},"trusted": true,"customLocalRepo": null,"customRepos": null,"customDeps": null,"customImports": ["import scala.util._","import org.apache.spark.SparkContext._"],"customArgs": null,"customSparkConf": {"spark.master": "local[2]","hive.metastore.warehouse.dir": "/user/hive/warehouse","hive.metastore.uris": "thrift://master:9083","spark.sql.hive.metastore.version": "1.1.0","spark.sql.hive.metastore.jars": "/opt/cloudera/parcels/CDH/lib/hadoop/../hive/lib/*","hive.metastore.schema.verification": "false","spark.jars": "/usr/share/java/mysql-connector-java.jar,/opt/cloudera/parcels/CDH/lib/spark/lib/spark-assembly-1.6.0-cdh5.15.0-hadoop2.6.0-cdh5.15.0.jar","spark.driver.extraClassPath": "/etc/spark/conf:/etc/spark/conf/yarn-conf:/etc/hadoop/conf:/etc/hive/conf:/opt/cloudera/parcels/CDH/lib/hadoop/*:/opt/cloudera/parcels/CDH/lib/hadoop/../hadoop-hdfs/*:/opt/cloudera/parcels/CDH/lib/hadoop/../hadoop-mapreduce/*:/opt/cloudera/parcels/CDH/lib/hadoop/../hadoop-yarn/*:/opt/cloudera/parcels/CDH/lib/hadoop/../hive/lib/*:/opt/cloudera/parcels/CDH/jars/*:/opt/soft/spark-notebook/lib/*","spark.executor.extraClassPath": "/etc/spark/conf:/etc/spark/conf/yarn-conf:/etc/hadoop/conf:/etc/hive/conf:/opt/cloudera/parcels/CDH/lib/hadoop/*:/opt/cloudera/parcels/CDH/lib/hadoop/../hadoop-hdfs/*:/opt/cloudera/parcels/CDH/lib/hadoop/../hadoop-mapreduce/*:/opt/cloudera/parcels/CDH/lib/hadoop/../hadoop-yarn/*:/opt/cloudera/parcels/CDH/lib/hadoop/../hive/lib/*:/opt/cloudera/parcels/CDH/jars/*:/opt/soft/spark-notebook/lib/*"},"kernelspec": {"name": "spark","display_name": "Scala [2.10.5] Spark [1.6.0] Hadoop [2.6.0]  {Hive ✓}  {Parquet ✓}"}
}

报错：

java.lang.NoClassDefFoundError: org/apache/hadoop/hive/metastore/api/AlreadyExistsException

经查原来spark-notebook编绎时自动使用HIVE1.2 metastore，cdh使用的1.1,版本不兼容