Kylin使用Spark构建Cube

Apache Kylin™是一个开源的分布式分析引擎，提供Hadoop/Spark之上的SQL查询接口及多维分析（OLAP）能力以支持超大规模数据，最初由eBay Inc. 开发并贡献至开源社区。它能在亚秒内查询巨大的Hive表。
下面是单机安装采坑记，直接上配置和问题解决。
找一台干净的机器，把hadoop hive hbase从原有节点分别拷贝一份，主要目的是配置文件，可以不在kylin所在机器启动相关进程。
开源版本搭建，非整合HDP和CDH。
个别问题解决参考其他博客。
官网http://kylin.apache.org/cn/docs/
MapReduce构建Cube的问题也已解决，所以使用MapReduce构建Cube也是正常的。

版本

java-1.8.0-openjdk-1.8.0.191.b12-1.el7_6.x86_64
hadoop-2.8.5【官网下载】
hbase-1.4.10【官网下载】
hive-2.3.5【官网下载】
apache-kylin-2.6.3-bin-hbase1x【官网下载】
spark-2.3.2【$KYLIN_HOME/spark 通过$KYLIN_HOME/bin/download-spark.sh下载】
spark-2.3.2-yarn-shuffle.jar【https://github.com/apache/spark/releases/tag/v2.3.2下载Source code自行编译（Oracle JDK1.8.0_181 hadoop2.7.3）】

环境变量

JAVA_HOME等。

export HADOOP_HOME=/home/admin/hadoop-2.8.5
export PATH="$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH"
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoopexport HBASE_HOME=/home/admin/hbase-1.4.10
export PATH="$HBASE_HOME/bin:$HBASE_HOME/sbin:$PATH"export HIVE_HOME=/home/admin/hive-2.3.5
export PATH="$HIVE_HOME/bin:$HIVE_HOME/sbin:$PATH"
export HCAT_HOME=$HIVE_HOME/hcatalogexport KYLIN_HOME=/home/admin/kylin-2.6.3
export KYLIN_CONF_HOME=$KYLIN_HOME/conf
export CATALINA_HOME=$KYLIN_HOME/tomcatexport PATH=:$PATH:$KYLIN_HOME/bin:$CATALINE_HOME/bin
export tomcat_root=$KYLIN_HOME/tomcat
export hive_dependency=$HIVE_HOME/conf:$HIVE_HOME/lib/*:$HCAT_HOME/share/hcatalog/hive-hcatalog-core-2.3.5.jar

下载spark和上传spark的依赖包

从v2.6.1开始， Kylin不再包含Spark二进制包；需要另外下载Spark，然后设置SPARK_HOME系统变量到Spark安装目录（可以不设置，详见$KYLIN_HOME/bin/find-spark-dependency.sh）

使用脚本下载Spark[下载后的目录位于$KYLIN_HOME/spark]：

`1`	`$ $KYLIN_HOME/bin/download-spark.sh`

把Spark依赖的jars打包成一个jar上传到HDFS上面，这里参照官网，另外打包成zip也是可以的：

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$ jar cv0f spark-libs.jar -C $KYLIN_HOME/spark/jars/ .
$ hadoop fs -mkdir -p /kylin/spark/
$ hadoop fs -put spark-libs.jar /kylin/spark/

并在$KYLIN_HOME/conf/kylin.properties里面或者$KYLIN_HOME/spark/conf/spark-defaults.conf里面进行配置：

分别是kylin.engine.spark-conf.spark.yarn.archive和
spark.yarn.archive，配置其一即可。

主要配置

$KYLIN_HOME/conf/kylin.properties

有些虽然解除了注释#，但并非必须的，默认值也可以；
另外在环境变量都设置好的情况下，比如HADOOP_CONF_DIR，不需要再配置kylin.env.hadoop-conf-dir。

说明：
SPARK ENGINE CONFIGS下面kylin.engine.spark-conf.xxxx
后面xxxx这种配置，完全可以在$KYLIN_HOME/spark/conf下的spark-defaults.conf里面进行配置。

#
#### METADATA | ENV ###
#
## The metadata store in hbase
kylin.metadata.url=kylin_metadata@hbase
#
## metadata cache sync retry times
kylin.metadata.sync-retries=3
#
## Working folder in HDFS, better be qualified absolute path, make sure user has the right permission to this directory
kylin.env.hdfs-working-dir=/kylin
#
## DEV|QA|PROD. DEV will turn on some dev features, QA and PROD has no difference in terms of functions.
kylin.env=QA
#
## kylin zk base path
kylin.env.zookeeper-base-path=/kylin
#
#### SERVER | WEB | RESTCLIENT ###
#
## Kylin server mode, valid value [all, query, job]
kylin.server.mode=all
#
## List of web servers in use, this enables one web server instance to sync up with other servers.
kylin.server.cluster-servers=192.168.100.2:7070
#
## Display timezone on UI,format like[GMT+N or GMT-N]
kylin.web.timezone=GMT+8
#
## Timeout value for the queries submitted through the Web UI, in milliseconds
kylin.web.query-timeout=300000
#
kylin.web.cross-domain-enabled=true
#
##allow user to export query result
kylin.web.export-allow-admin=true
kylin.web.export-allow-other=true
#
## Hide measures in measure list of cube designer, separate by comma
kylin.web.hide-measures=RAW
#
##max connections of one route
#kylin.restclient.connection.default-max-per-route=20
#
##max connections of one rest-client
#kylin.restclient.connection.max-total=200
#
#### PUBLIC CONFIG ###
#kylin.engine.default=2
#kylin.storage.default=2
#kylin.web.hive-limit=20
#kylin.web.help.length=4
#kylin.web.help.0=start|Getting Started|http://kylin.apache.org/docs/tutorial/kylin_sample.html
#kylin.web.help.1=odbc|ODBC Driver|http://kylin.apache.org/docs/tutorial/odbc.html
#kylin.web.help.2=tableau|Tableau Guide|http://kylin.apache.org/docs/tutorial/tableau_91.html
#kylin.web.help.3=onboard|Cube Design Tutorial|http://kylin.apache.org/docs/howto/howto_optimize_cubes.html
#kylin.web.link-streaming-guide=http://kylin.apache.org/
#kylin.htrace.show-gui-trace-toggle=false
#kylin.web.link-hadoop=
#kylin.web.link-diagnostic=
#kylin.web.contact-mail=
#kylin.server.external-acl-provider=
#
#### SOURCE ###
#
## Hive client, valid value [cli, beeline]
#kylin.source.hive.client=cli
#
## Absolute path to beeline shell, can be set to spark beeline instead of the default hive beeline on PATH
#kylin.source.hive.beeline-shell=beeline
#
## Parameters for beeline client, only necessary if hive client is beeline
##kylin.source.hive.beeline-params=-n root --hiveconf hive.security.authorization.sqlstd.confwhitelist.append='mapreduce.job.*|dfs.*' -u jdbc:hive2://localhost:10000
#
## While hive client uses above settings to read hive table metadata,
## table operations can go through a separate SparkSQL command line, given SparkSQL connects to the same Hive metastore.
#kylin.source.hive.enable-sparksql-for-table-ops=false
##kylin.source.hive.sparksql-beeline-shell=/path/to/spark-client/bin/beeline
##kylin.source.hive.sparksql-beeline-params=-n root --hiveconf hive.security.authorization.sqlstd.confwhitelist.append='mapreduce.job.*|dfs.*' -u jdbc:hive2://localhost:10000
#
#kylin.source.hive.keep-flat-table=false
#
## Hive database name for putting the intermediate flat tables
kylin.source.hive.database-for-flat-table=kylin_flat_db
#
## Whether redistribute the intermediate flat table before building
#kylin.source.hive.redistribute-flat-table=true
#
#
#### STORAGE ###
#
## The storage for final cube file in hbase
kylin.storage.url=hbase
#
## The prefix of hbase table
kylin.storage.hbase.table-name-prefix=KYLIN_
#
## The namespace for hbase storage
kylin.storage.hbase.namespace=default
#
## Compression codec for htable, valid value [none, snappy, lzo, gzip, lz4]
kylin.storage.hbase.compression-codec=none
#
## HBase Cluster FileSystem, which serving hbase, format as hdfs://hbase-cluster:8020
## Leave empty if hbase running on same cluster with hive and mapreduce
##kylin.storage.hbase.cluster-fs=
#
## The cut size for hbase region, in GB.
kylin.storage.hbase.region-cut-gb=5
#
## The hfile size of GB, smaller hfile leading to the converting hfile MR has more reducers and be faster.
## Set 0 to disable this optimization.
kylin.storage.hbase.hfile-size-gb=2
#
#kylin.storage.hbase.min-region-count=1
#kylin.storage.hbase.max-region-count=500
#
## Optional information for the owner of kylin platform, it can be your team's email
## Currently it will be attached to each kylin's htable attribute
#kylin.storage.hbase.owner-tag=whoami@kylin.apache.org
#
#kylin.storage.hbase.coprocessor-mem-gb=3
#
## By default kylin can spill query's intermediate results to disks when it's consuming too much memory.
## Set it to false if you want query to abort immediately in such condition.
#kylin.storage.partition.aggr-spill-enabled=true
#
## The maximum number of bytes each coprocessor is allowed to scan.
## To allow arbitrary large scan, you can set it to 0.
#kylin.storage.partition.max-scan-bytes=3221225472
#
## The default coprocessor timeout is (hbase.rpc.timeout * 0.9) / 1000 seconds,
## You can set it to a smaller value. 0 means use default.
## kylin.storage.hbase.coprocessor-timeout-seconds=0
#
## clean real storage after delete operation
## if you want to delete the real storage like htable of deleting segment, you can set it to true
#kylin.storage.clean-after-delete-operation=false
#
#### JOB ###
#
## Max job retry on error, default 0: no retry
kylin.job.retry=0
#
## Max count of concurrent jobs running
kylin.job.max-concurrent-jobs=10
#
## The percentage of the sampling, default 100%
#kylin.job.sampling-percentage=100
#
## If true, will send email notification on job complete
##kylin.job.notification-enabled=true
##kylin.job.notification-mail-enable-starttls=true
##kylin.job.notification-mail-host=smtp.office365.com
##kylin.job.notification-mail-port=587
##kylin.job.notification-mail-username=kylin@example.com
##kylin.job.notification-mail-password=mypassword
##kylin.job.notification-mail-sender=kylin@example.com
#
#
#### ENGINE ###
#
## Time interval to check hadoop job status
kylin.engine.mr.yarn-check-interval-seconds=10
#
#kylin.engine.mr.reduce-input-mb=500
#
#kylin.engine.mr.max-reducer-number=500
#
#kylin.engine.mr.mapper-input-rows=1000000
#
## Enable dictionary building in MR reducer
#kylin.engine.mr.build-dict-in-reducer=true
#
## Number of reducers for fetching UHC column distinct values
#kylin.engine.mr.uhc-reducer-count=3
#
## Whether using an additional step to build UHC dictionary
#kylin.engine.mr.build-uhc-dict-in-additional-step=false
#
#
#### CUBE | DICTIONARY ###
#
#kylin.cube.cuboid-scheduler=org.apache.kylin.cube.cuboid.DefaultCuboidScheduler
#kylin.cube.segment-advisor=org.apache.kylin.cube.CubeSegmentAdvisor
#
## 'auto', 'inmem', 'layer' or 'random' for testing
#kylin.cube.algorithm=layer
#
## A smaller threshold prefers layer, a larger threshold prefers in-mem
#kylin.cube.algorithm.layer-or-inmem-threshold=7
#
## auto use inmem algorithm:
## 1, cube planner optimize job
## 2, no source record
#kylin.cube.algorithm.inmem-auto-optimize=true
#
#kylin.cube.aggrgroup.max-combination=32768
#
#kylin.snapshot.max-mb=300
#
#kylin.cube.cubeplanner.enabled=true
#kylin.cube.cubeplanner.enabled-for-existing-cube=true
#kylin.cube.cubeplanner.expansion-threshold=15.0
#kylin.cube.cubeplanner.recommend-cache-max-size=200
#kylin.cube.cubeplanner.mandatory-rollup-threshold=1000
#kylin.cube.cubeplanner.algorithm-threshold-greedy=8
#kylin.cube.cubeplanner.algorithm-threshold-genetic=23
#
#
#### QUERY ###
#
## Controls the maximum number of bytes a query is allowed to scan storage.
## The default value 0 means no limit.
## The counterpart kylin.storage.partition.max-scan-bytes sets the maximum per coprocessor.
#kylin.query.max-scan-bytes=0
#
#kylin.query.cache-enabled=true
#
## Controls extras properties for Calcite jdbc driver
## all extras properties should undder prefix "kylin.query.calcite.extras-props."
## case sensitive, default: true, to enable case insensitive set it to false
## @see org.apache.calcite.config.CalciteConnectionProperty.CASE_SENSITIVE
#kylin.query.calcite.extras-props.caseSensitive=true
## how to handle unquoted identity, defualt: TO_UPPER, available options: UNCHANGED, TO_UPPER, TO_LOWER
## @see org.apache.calcite.config.CalciteConnectionProperty.UNQUOTED_CASING
#kylin.query.calcite.extras-props.unquotedCasing=TO_UPPER
## quoting method, default: DOUBLE_QUOTE, available options: DOUBLE_QUOTE, BACK_TICK, BRACKET
## @see org.apache.calcite.config.CalciteConnectionProperty.QUOTING
#kylin.query.calcite.extras-props.quoting=DOUBLE_QUOTE
## change SqlConformance from DEFAULT to LENIENT to enable group by ordinal
## @see org.apache.calcite.sql.validate.SqlConformance.SqlConformanceEnum
#kylin.query.calcite.extras-props.conformance=LENIENT
#
## TABLE ACL
#kylin.query.security.table-acl-enabled=true
#
## Usually should not modify this
#kylin.query.interceptors=org.apache.kylin.rest.security.TableInterceptor
#
#kylin.query.escape-default-keyword=false
#
## Usually should not modify this
#kylin.query.transformers=org.apache.kylin.query.util.DefaultQueryTransformer,org.apache.kylin.query.util.KeywordDefaultDirtyHack
#
#### SECURITY ###
#
## Spring security profile, options: testing, ldap, saml
## with "testing" profile, user can use pre-defined name/pwd like KYLIN/ADMIN to login
#kylin.security.profile=testing
#
## Admin roles in LDAP, for ldap and saml
#kylin.security.acl.admin-role=admin
#
## LDAP authentication configuration
#kylin.security.ldap.connection-server=ldap://ldap_server:389
#kylin.security.ldap.connection-username=
#kylin.security.ldap.connection-password=
#
## LDAP user account directory;
#kylin.security.ldap.user-search-base=
#kylin.security.ldap.user-search-pattern=
#kylin.security.ldap.user-group-search-base=
#kylin.security.ldap.user-group-search-filter=(|(member={0})(memberUid={1}))
#
## LDAP service account directory
#kylin.security.ldap.service-search-base=
#kylin.security.ldap.service-search-pattern=
#kylin.security.ldap.service-group-search-base=
#
### SAML configurations for SSO
## SAML IDP metadata file location
#kylin.security.saml.metadata-file=classpath:sso_metadata.xml
#kylin.security.saml.metadata-entity-base-url=https://hostname/kylin
#kylin.security.saml.keystore-file=classpath:samlKeystore.jks
#kylin.security.saml.context-scheme=https
#kylin.security.saml.context-server-name=hostname
#kylin.security.saml.context-server-port=443
#kylin.security.saml.context-path=/kylin
#
#### SPARK ENGINE CONFIGS ###
#
## Hadoop conf folder, will export this as "HADOOP_CONF_DIR" to run spark-submit
## This must contain site xmls of core, yarn, hive, and hbase in one folder
# kylin.env.hadoop-conf-dir=/home/admin/hadoop-2.8.5/etc/hadoop
#
## Estimate the RDD partition numbers
kylin.engine.spark.rdd-partition-cut-mb=100
#
## Minimal partition numbers of rdd
#kylin.engine.spark.min-partition=1
#
## Max partition numbers of rdd
#kylin.engine.spark.max-partition=5000
#
## Spark conf (default is in spark/conf/spark-defaults.conf)
kylin.engine.spark-conf.spark.master=yarn
kylin.engine.spark-conf.spark.submit.deployMode=cluster
kylin.engine.spark-conf.spark.yarn.queue=default
kylin.engine.spark-conf.spark.driver.memory=2G
kylin.engine.spark-conf.spark.executor.memory=1G
kylin.engine.spark-conf.spark.executor.instances=40
kylin.engine.spark-conf.spark.yarn.executor.memoryOverhead=1024
kylin.engine.spark-conf.spark.shuffle.service.enabled=true
kylin.engine.spark-conf.spark.eventLog.enabled=true
kylin.engine.spark-conf.spark.eventLog.dir=hdfs\:///kylin/spark-history
kylin.engine.spark-conf.spark.history.fs.logDirectory=hdfs\:///kylin/spark-history
kylin.engine.spark-conf.spark.hadoop.yarn.timeline-service.enabled=false
#
#### Spark conf for specific job
kylin.engine.spark-conf-mergedict.spark.executor.memory=2G
kylin.engine.spark-conf-mergedict.spark.memory.fraction=0.2
#
## manually upload spark-assembly jar to HDFS and then set this property will avoid repeatedly uploading jar at runtime
kylin.engine.spark-conf.spark.yarn.archive=hdfs://master:9000/kylin/spark/spark-libs.jar
##kylin.engine.spark-conf.spark.io.compression.codec=org.apache.spark.io.SnappyCompressionCodec
#
## uncomment for HDP
##kylin.engine.spark-conf.spark.driver.extraJavaOptions=-Dhdp.version=current
##kylin.engine.spark-conf.spark.yarn.am.extraJavaOptions=-Dhdp.version=current
##kylin.engine.spark-conf.spark.executor.extraJavaOptions=-Dhdp.version=current
#
#
#### QUERY PUSH DOWN ###
#
##kylin.query.pushdown.runner-class-name=org.apache.kylin.query.adhoc.PushDownRunnerJdbcImpl
#
##kylin.query.pushdown.update-enabled=false
##kylin.query.pushdown.jdbc.url=jdbc:hive2://sandbox:10000/default
##kylin.query.pushdown.jdbc.driver=org.apache.hive.jdbc.HiveDriver
##kylin.query.pushdown.jdbc.username=hive
##kylin.query.pushdown.jdbc.password=
#
##kylin.query.pushdown.jdbc.pool-max-total=8
##kylin.query.pushdown.jdbc.pool-max-idle=8
##kylin.query.pushdown.jdbc.pool-min-idle=0
#
#### JDBC Data Source
##kylin.source.jdbc.connection-url=
##kylin.source.jdbc.driver=
##kylin.source.jdbc.dialect=
##kylin.source.jdbc.user=
##kylin.source.jdbc.pass=
##kylin.source.jdbc.sqoop-home=
##kylin.source.jdbc.filed-delimiter=|kylin.job.jar=$KYLIN_HOME/lib/kylin-job-2.6.3.jar
kylin.coprocessor.local.jar=$KYLIN_HOME/lib/kylin-coprocessor-2.6.3.jar

检查运行环境

`1`	`$ $KYLIN_HOME/bin/check-env.sh`

trouble shooting

日志目录：$KYLIN_HOME/logs下面有kylin.log、kylin.out 还有gc日志

问题0：默认使用hbase配置里的ZK-UnknownHostException

检查运行环境就会报。

`1`	`Caused by: java.net.UnknownHostException: 192.168.100.5:12181: invalid IPv6 address`

说明hbase里zk的配置是host:port；kylin读取zk配置的方式是单独读取host和port，修改为host和port分开配置。

修改hbase的配置文件，kylin所在机器的配置文件修改一下就行，为了保持一致，全部修改下再重启hbase。

$HBASE_HOME/conf/hbase-site.xml

<property><name>hbase.zookeeper.property.clientPort</name><value>12181</value>
</property>
<property><name>hbase.zookeeper.quorum</name><value>192.168.100.5,192.168.100.6,192.168.100.7</value>
</property>

环境正常后，加载示例数据并启动kylin server

$ $KYLIN_HOME/bin/sample.sh
$ $KYLIN_HOME/bin/kylin.sh start
...
A new Kylin instance is started by admin. To stop it, run 'kylin.sh stop'
Check the log at /home/admin/kylin-2.6.3/logs/kylin.log
Web UI is at http://slave1:7070/kylin

问题1：访问http://192.168.100.2:7070/kylin 404

SEVERE: Failed to load keystore type JKS with path conf/.keystore due to /home/admin/kylin-2.6.3/tomcat/conf/.keystore (No such file or directory)
java.io.FileNotFoundException: /home/admin/kylin-2.6.3/tomcat/conf/.keystore (No such file or directory)SEVERE: Context [/kylin] startup failed due to previous errors
Invalid character found in method name. HTTP method names must be tokens

https CA证书问题，注释掉$KYLIN_HOME/tomcat/conf/server.xml里https的部分。

<!--
<Connector port="7443" protocol="org.apache.coyote.http11.Http11Protocol"maxThreads="150" SSLEnabled="true" scheme="https" secure="true"keystoreFile="conf/.keystore" keystorePass="changeit"clientAuth="false" sslProtocol="TLS" />
-->

停止kylin server然后再启动，处理其他问题类似。

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$ $KYLIN_HOME/bin/kylin.sh stop
$ $KYLIN_HOME/bin/kylin.sh start

问题2：jackson jar包冲突

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2019-08-13T15:44:18,486 ERROR [localhost-startStop-1] org.springframework.web.context.ContextLoader - Context initialization failed
org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerAdapter': Instantiation of bean failed; nested exception is org.springframework.beans.BeanInstantiationException: Failed to instantiate [org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerAdapter]: Constructor threw exception; nested exception is java.lang.ClassCastException: com.fasterxml.jackson.datatype.joda.JodaModule cannot be cast to com.fasterxml.jackson.databind.Module

hive的依赖版本：

/home/admin/hive-2.3.5/lib/jackson-datatype-joda-2.4.6.jar

kylin的依赖版本：

/home/admin/kylin-2.6.3/tomcat/webapps/kylin/WEB-INF/lib/jackson-databind-2.9.5.jar

将hive的删除[重命名]。

`1`	`mv $HIVE_HOME/lib/jackson-datatype-joda-2.4.6.jar $HIVE_HOME/lib/jackson-datatype-joda-2.4.6.jarback`

使用默认ADMIN/KYLIN[全大写]进行登录

用户名密码见$KYLIN_HOME/tomcat/webapps/kylin/WEB-INF/classes/kylinSecurity.xml。

<bean class="org.springframework.security.core.userdetails.User" id="adminUser"><constructor-arg value="ADMIN"/><constructor-argvalue="$2a$10$o3ktIWsGYxXNuUWQiYlZXOW5hWcqyNAFQsSSCSEWoC/BRVMAUjL32"/><constructor-arg ref="adminAuthorities"/>
</bean>
<bean class="org.springframework.security.core.userdetails.User" id="modelerUser"><constructor-arg value="MODELER"/><constructor-argvalue="$2a$10$Le5ernTeGNIARwMJsY0WaOLioNQdb0QD11DwjeyNqqNRp5NaDo2FG"/><constructor-arg ref="modelerAuthorities"/>
</bean>
<bean class="org.springframework.security.core.userdetails.User" id="analystUser"><constructor-arg value="ANALYST"/><constructor-argvalue="$2a$10$s4INO3XHjPP5Vm2xH027Ce9QeXWdrfq5pvzuGr9z/lQmHqi0rsbNi"/><constructor-arg ref="analystAuthorities"/>
</bean>

问题3：使用MapReduce构建示例Cube报 10020 failed

org.apache.kylin.engine.mr.exception.MapReduceException: Exception: java.net.ConnectException: Call From slave1/192.168.100.2 to 0.0.0.0:10020 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
java.net.ConnectException: Call From slave1/192.168.100.2 to 0.0.0.0:10020 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefusedat org.apache.kylin.engine.mr.common.MapReduceExecutable.doWork(MapReduceExecutable.java:173)at org.apache.kylin.job.execution.AbstractExecutable.execute(AbstractExecutable.java:167)at org.apache.kylin.job.execution.DefaultChainedExecutable.doWork(DefaultChainedExecutable.java:71)at org.apache.kylin.job.execution.AbstractExecutable.execute(AbstractExecutable.java:167)at org.apache.kylin.job.impl.threadpool.DefaultScheduler$JobRunner.run(DefaultScheduler.java:114)at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)at java.lang.Thread.run(Thread.java:748)

10020端口，需要启动MapReduce JobHistory Server。

查看hadoop的mapred-site.xml有无以下配置：

<configuration><property><name>mapreduce.framework.name</name><value>yarn</value></property><property><name>mapreduce.jobhistory.address</name><value>master:10020</value><description>MapReduce JobHistory Server IPC host:port</description></property><property><name>mapreduce.jobhistory.webapp.address</name><value>master:19888</value><description>MapReduceJobHistory Server Web UI host:port</description></property>
</configuration>

master节点：

`1`	`$ mr-jobhistory-daemon.sh start historyserver`

问题4：spark构建cube点击build后报错

Caused by: java.lang.NoClassDefFoundError: org/apache/spark/api/java/function/Functionat org.apache.kylin.engine.spark.SparkBatchCubingJobBuilder2.<init>(SparkBatchCubingJobBuilder2.java:53) ~[kylin-engine-spark-2.6.3.jar:2.6.3]at org.apache.kylin.engine.spark.SparkBatchCubingEngine2.createBatchCubingJob(SparkBatchCubingEngine2.java:44) ~[kylin-engine-spark-2.6.3.jar:2.6.3]at org.apache.kylin.engine.EngineFactory.createBatchCubingJob(EngineFactory.java:60) ~[kylin-core-job-2.6.3.jar:2.6.3]at org.apache.kylin.rest.service.JobService.submitJobInternal(JobService.java:234) ~[kylin-server-base-2.6.3.jar:2.6.3]at org.apache.kylin.rest.service.JobService.submitJob(JobService.java:202) ~[kylin-server-base-2.6.3.jar:2.6.3]at org.apache.kylin.rest.controller.CubeController.buildInternal(CubeController.java:395) ~[kylin-server-base-2.6.3.jar:2.6.3]... 77 more
Caused by: java.lang.ClassNotFoundException: org.apache.spark.api.java.function.Functionat org.apache.catalina.loader.WebappClassLoaderBase.loadClass(WebappClassLoaderBase.java:1928) ~[catalina.jar:7.0.91]at org.apache.catalina.loader.WebappClassLoaderBase.loadClass(WebappClassLoaderBase.java:1771) ~[catalina.jar:7.0.91]at org.apache.kylin.engine.spark.SparkBatchCubingJobBuilder2.<init>(SparkBatchCubingJobBuilder2.java:53) ~[kylin-engine-spark-2.6.3.jar:2.6.3]at org.apache.kylin.engine.spark.SparkBatchCubingEngine2.createBatchCubingJob(SparkBatchCubingEngine2.java:44) ~[kylin-engine-spark-2.6.3.jar:2.6.3]at org.apache.kylin.engine.EngineFactory.createBatchCubingJob(EngineFactory.java:60) ~[kylin-core-job-2.6.3.jar:2.6.3]at org.apache.kylin.rest.service.JobService.submitJobInternal(JobService.java:234) ~[kylin-server-base-2.6.3.jar:2.6.3]at org.apache.kylin.rest.service.JobService.submitJob(JobService.java:202) ~[kylin-server-base-2.6.3.jar:2.6.3]at org.apache.kylin.rest.controller.CubeController.buildInternal(CubeController.java:395) ~[kylin-server-base-2.6.3.jar:2.6.3]

kylin源码的engine-spark模块，pom.xml中有一些provided的依赖，但是在kylin server启动后并没有在CLASSPATH中找到，所以，简单的方法是把找不到的依赖jar包直接拷贝到$KYLIN_HOME/tomcat/lib下面。

kylin-2.5.2/tomcat/lib/spark-core_2.11-2.1.2.jar（Caused by: java.lang.ClassNotFoundException: org.apache.spark.api.java.function.Function）
kylin-2.5.2/tomcat/lib/scala-library-2.11.8.jar（Caused by: java.lang.ClassNotFoundException: scala.Serializable）

1
2

$ cp $KYLIN_HOME/spark/jars/spark-core_2.11-2.1.2.jar $KYLIN_HOME/tomcat/lib
$ cp $KYLIN_HOME/spark/jars/scala-library-2.11.8.jar $KYLIN_HOME/tomcat/lib

重启kylin server生效。

问题5：spark构建cube第二步，找不到HiveConf

在$KYLIN_HOME/bin/kylin.sh中配置HBASE_CLASSPATH_PREFIX。

org.apache.kylin.job.exception.ExecuteException: org.apache.kylin.job.exception.ExecuteException: java.lang.NoClassDefFoundError: org/apache/hadoop/hive/conf/HiveConf
Caused by: org.apache.kylin.job.exception.ExecuteException: java.lang.NoClassDefFoundError: org/apache/hadoop/hive/conf/HiveConf
Caused by: java.lang.NoClassDefFoundError: org/apache/hadoop/hive/conf/HiveConf
Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.hive.conf.HiveConf

配置HBASE_CLASSPATH_PREFIX，用到了环境变量里的tomcat_root和$hive_dependency。

`1`	`export HBASE_CLASSPATH_PREFIX=${tomcat_root}/bin/bootstrap.jar:${tomcat_root}/bin/tomcat-juli.jar:${tomcat_root}/lib/*:$hive_dependency:$HBASE_CLASSPATH_PREFIX`

问题6：spark构建cube第三步，The auxService:spark_shuffle does not exist

日志位置：

/home/admin/hadoop-2.8.5/logs/userlogs/application_1565839225073_0008/container_1565839225073_0008_01_000001

19/08/15 16:52:06 ERROR yarn.YarnAllocator: Failed to launch executor 87 on container container_1565839225073_0008_01_000088
org.apache.spark.SparkException: Exception while starting container container_1565839225073_0008_01_000088 on host slave2at org.apache.spark.deploy.yarn.ExecutorRunnable.startContainer(ExecutorRunnable.scala:126)at org.apache.spark.deploy.yarn.ExecutorRunnable.run(ExecutorRunnable.scala:66)at org.apache.spark.deploy.yarn.YarnAllocator$$anonfun$runAllocatedContainers$1$$anon$1.run(YarnAllocator.scala:520)at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.hadoop.yarn.exceptions.InvalidAuxServiceException: The auxService:spark_shuffle does not existat sun.reflect.GeneratedConstructorAccessor24.newInstance(Unknown Source)at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)at java.lang.reflect.Constructor.newInstance(Constructor.java:423)at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.instantiateException(SerializedExceptionPBImpl.java:168)at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.deSerialize(SerializedExceptionPBImpl.java:106)at org.apache.hadoop.yarn.client.api.impl.NMClientImpl.startContainer(NMClientImpl.java:205)at org.apache.spark.deploy.yarn.ExecutorRunnable.startContainer(ExecutorRunnable.scala:123)... 5 more
19/08/15 16:52:07 WARN cluster.YarnClusterScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
19/08/15 16:52:09 INFO yarn.ApplicationMaster: Final app status: FAILED, exitCode: 11, (reason: Max number of executor failures (80) reached)
19/08/15 16:52:09 ERROR yarn.ApplicationMaster: User class threw exception: java.lang.RuntimeException: error execute org.apache.kylin.engine.spark.SparkFactDistinct. Root cause: null
java.lang.RuntimeException: error execute org.apache.kylin.engine.spark.SparkFactDistinct. Root cause: nullat org.apache.kylin.common.util.AbstractApplication.execute(AbstractApplication.java:42)at org.apache.kylin.common.util.SparkEntry.main(SparkEntry.java:44)at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)at java.lang.reflect.Method.invoke(Method.java:498)at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:636)
Caused by: java.lang.InterruptedExceptionat java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:998)at java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1304)at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:202)at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:153)at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:619)at org.apache.spark.SparkContext.runJob(SparkContext.scala:1928)

修改hadoop的yarn-site.xml

<property><name>yarn.nodemanager.aux-services</name><value>spark_shuffle,mapreduce_shuffle</value>
</property>
<property><name>yarn.nodemanager.aux-services.spark_shuffle.class</name><value>org.apache.spark.network.yarn.YarnShuffleService</value>
</property>

需要引入YarnShuffleService所在的jar包，否则Class org.apache.spark.network.yarn.YarnShuffleService not found。

下载spark源码，编译一下。

$ wget https://github.com/apache/spark/archive/v2.3.2.tar.gz
$ tar zxvf v2.3.2.tar.gz
$ cd spark-2.3.2/
$ ./build/mvn -Pyarn -Phadoop-2.7 -Dhadoop.version=2.7.3 -DskipTests clean package

需要用到的jar包位置在spark-2.3.2/common/network-yarn/target/scala-2.11目录下，spark-2.3.2-yarn-shuffle.jar。

分发到/home/admin/hadoop-2.8.5/share/hadoop/yarn/lib，重启yarn集群。

以上参考Spark官方文档http://spark.apache.org/docs/2.3.2/running-on-yarn.html

Configuring the External Shuffle Service
To start the Spark Shuffle Service on each NodeManager in your YARN cluster, follow these instructions:1. Build Spark with the YARN profile. Skip this step if you are using a pre-packaged distribution.
2. Locate the spark-<version>-yarn-shuffle.jar. This should be under $SPARK_HOME/common/network-yarn/target/scala-<version> if you are building Spark yourself, and under yarn if you are using a distribution.
3. Add this jar to the classpath of all NodeManagers in your cluster.
4. In the yarn-site.xml on each node, add spark_shuffle to yarn.nodemanager.aux-services, then set yarn.nodemanager.aux-services.spark_shuffle.class to org.apache.spark.network.yarn.YarnShuffleService.
5. Increase NodeManager's heap size by setting YARN_HEAPSIZE (1000 by default) in etc/hadoop/yarn-env.sh to avoid garbage collection issues during shuffle.
6. Restart all NodeManagers in your cluster.

运行截图【spark2.1.2是kylin2.5.2自带的spark版本，上述遇到的问题kylin2.3.6和kylin2.5.2是一致的】

本文作者：知了小巷https://blog.icocoro.me/2019/08/16/1908-kylin-cube-build/

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