CDH中flume集成hive常见异常

java.lang.NoClassDefFoundError: org/apache/hive/hcatalog/streaming/RecordWriter

1、 没有导入依赖

2、 有可能maven没有下载完整

3、 包冲突的问题

没有依赖包----flume中缺少某个包

1、 根据异常信息,确定缺少什么包

根据网上的搜索信息,确定缺少某一个包: 

find / -name 'hive-hcatalog-core*'

根据link文件过滤、版本对比、猜测等,优先选择了一个jar

/opt/cloudera/parcels/CDH-5.11.1-1.cdh5.11.1.p0.4/jars/hive-hcatalog-core-1.1.0-cdh5.11.1.jar

2、 如果找到的包正好是自己要的包的话,将包放在什么地方?

通过flume-ng启动时产生的日志信息

/opt/cloudera/parcels/CDH-5.11.1-1.cdh5.11.1.p0.4/lib/flume-ng/lib/*

3、 问题解决

cp /opt/cloudera/parcels/CDH-5.11.1-1.cdh5.11.1.p0.4/jars/hive-hcatalog-streaming-1.1.0-cdh5.11.1.jar /opt/cloudera/parcels/CDH-5.11.1-1.cdh5.11.1.p0.4/lib/flume-ng/lib/

可以采用链接的方式来解决:

ln -s /opt/cloudera/parcels/CDH-5.11.1-1.cdh5.11.1.p0.4/jars/hive-hcatalog-streaming-1.1.0-cdh5.11.1.jar hive-hcatalog-streaming-1.1.0-cdh5.11.1.jar

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

解决办法:

ln -s /opt/cloudera/parcels/CDH-5.11.1-1.cdh5.11.1.p0.4/jars/hive-metastore-1.1.0-cdh5.11.1.jar hive-metastore-1.1.0-cdh5.11.1.jar

异常:java.lang.ClassNotFoundException: org.apache.hadoop.hive.ql.session.SessionState

解决办法:

ln -s /opt/cloudera/parcels/CDH-5.11.1-1.cdh5.11.1.p0.4/jars/hive-exec-1.1.0-cdh5.11.1.jar hive-exec-1.1.0-cdh5.11.1.jar

异常:java.lang.ClassNotFoundException: org.apache.hadoop.hive.cli.CliSessionState

ln -s /opt/cloudera/parcels/CDH-5.11.1-1.cdh5.11.1.p0.4/jars/hive-cli-1.1.0-cdh5.11.1.jar /opt/cloudera/parcels/CDH-5.11.1-1.cdh5.11.1.p0.4/lib/flume-ng/lib/hive-cli-1.1.0-cdh5.11.1.jar

异常:org.apache.commons.cli.MissingOptionException: Missing required option: n

在执行的时候忘记输入-name

异常:java.lang.ClassNotFoundException: com.facebook.fb303.FacebookService$Iface

ln -s /opt/cloudera/parcels/CDH-5.11.1-1.cdh5.11.1.p0.4/jars/libfb303-0.9.3.jar /opt/cloudera/parcels/CDH-5.11.1-1.cdh5.11.1.p0.4/lib/flume-ng/lib/libfb303-0.9.3.jar

异常:Cannot stream to table that has not been bucketed : {metaStoreUri='thrift://master:9083', database='default', table='t_pages', partitionVals=[] }

Hive对接的时候需要将表设置成桶表

create table t_pages(

date string,

user_id string,

session_id string,

page_id string,

action_time string,

search_keyword string,

click_category_id string,

click_product_id string,

order_category_ids string,

order_product_ids string,

pay_category_ids string,

pay_product_ids string,

city_id string

)

CLUSTERED BY (city_id)  INTO 20 BUCKETS

ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t';

异常:org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat cannot be cast to org.apache.hadoop.hive.ql.io.AcidOutputFormat

AcidOutputFormat的类只有OrcOutputFormat, Hive表需要stored as orc

create table t_pages(

date string,

user_id string,

session_id string,

page_id string,

action_time string,

search_keyword string,

click_category_id string,

click_product_id string,

order_category_ids string,

order_product_ids string,

pay_category_ids string,

pay_product_ids string,

city_id string

)

CLUSTERED BY (city_id)  INTO 20 BUCKETS

ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'

STORED AS ORC;

测试,在hive当中去看是否有当前数据

4、 修改sources

capacity 100 full, consider committing more frequently, increasing capacity, or increasing thread count

5、 最好将channel的存储转为文件

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转载自blog.csdn.net/lp284558195/article/details/80301493
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