Cdh6.3.2 集群规划
CDH6.3.2 集群规划
基础
硬件信息
| 内存 | 硬盘 | 核数 | |
|---|---|---|---|
| bjuc49.optaim.com | 128G | 10T | 32 |
| bjuc50.optaim.com | 128G | 10T | 32 |
| bjuc51.optaim.com | 128G | 10T | 32 |
| bjuc52.optaim.com | 128G | 10T | 32 |
| bjuc53.optaim.com | 128G | 10T | 32 |
| bjuc54.optaim.com | 128G | 10T | 32 |
| bjuc55.optaim.com | 128G | 10T | 32 |
环境
系统:
ubuntu18.04
jdk:
oracle-j2sdk1.8-1.8.0+update181-1.x86_64.rpm
mysql:
Mariadb-10.1.45
username=root
password=Qwaszx@zxc
49和50上的hive库互为主从
Cloudera Manager:
Cloudera Express 6.3.1
CDH:
CDH6.3.2
systemctl restart cloudera-scm-serverCDH包含框架
| Component | Version |
|---|---|
| Apache Avro | 1.8.2 |
| Apache Flume | 1.9.0 |
| Apache Hadoop | 3.0.0 |
| Apache HBase | 2.1.4 |
| HBase Indexer | 1.5 |
| Apache Hive | 2.1.1 |
| Hue | 4.3.0 |
| Apache Impala | 3.2.0 |
| Apache Kafka | 2.2.1 |
| Kite SDK | 1.0.0 |
| Apache Kudu | 1.10.0 |
| Apache Solr | 7.4.0 |
| Apache Oozie | 5.1.0 |
| Apache Parquet | 1.9.0 |
| Parquet-format | 2.4.0 |
| Apache Pig | 0.17.0 |
| Apache Sentry | 2.1.0 |
| Apache Spark | 2.4.0 |
| Apache Sqoop | 1.4.7 |
| Apache ZooKeeper | 3.4.5 |
集群规划
| 49 | 50 | 51 | 52 | 53 | 54 | 55 |
|---|---|---|---|---|---|---|
| mariadb | mariadb | |||||
| cm_server | ||||||
| cm_agent | cm_agent | cm_agent | cm_agent | cm_agent | cm_agent | cm_agent |
| namenode | namenode | |||||
| datanode | datanode | datanode | datanode | datanode | datanode | datanode |
| RM | RM | |||||
| NM | NM | NM | NM | NM | NM | NM |
| zookeeper | zookeeper | zookeeper | ||||
| kafka | kafka | kafka | ||||
| hive | hive | |||||
| spark | spark | spark_history | ||||
| flink | flink | |||||
| sqoop | sqoop | |||||
| kudu | kudu | |||||
| impala | ||||||
| flume | ||||||
| hue | ||||||
| Oozie | ||||||
| sentry |
数据迁移
HDFS数据迁移:
hadoop distcp -skipcrccheck -update hdfs://10.11.90.12:8020/zyz/ifansb/ hdfs://10.11.20.52:8020/zyz/ifansb/
hadoop distcp -skipcrccheck -update hdfs://10.11.90.12:8020/user/hive/warehouse/ifansb.db hdfs://10.11.20.52:8020/user/hive/warehouse/ifansb.dbhive 元数据迁移:
第一步先把旧集群得元数据导出来
然后导入新集群的mysql对应的库里
查询升级所需的脚本
./schematool -dbType mysql -upgradeSchemaFrom 1.10 -dryRun -passWord scm -userName scm
再mysql中依次执行所需的脚本,最后补全缺少的table
在CDH中更新hive metaStore namenodehive分区补全
msck repair table table_name;权限刷新
hdfs dfsadmin -refreshUserToGroupsMappingsHive server2 HA
<property>
<name>hive.server2.support.dynamic.service.discovery</name>
<value>true</value>
</property>JDBC
#hive session
hive.spark.client.future.timeout=60s
hive.spark.client.connect.timeout=600s
hive.spark.client.server.connect.timeout=600s
!connect jdbc:hive2://bjuc55.optaim.com:2181,bjuc54.optaim.com:2181,bjuc53.optaim.com:2181/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=hiveserver2
beeline --hiveconf hive.server2.logging.operation.level=NONE -u "jdbc:hive2://10.11.20.55:2181,10.11.20.54:2181,10.11.20.53:2181/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=hiveserver2" -n hive