oracle数据接入clickhouse oracle数据接入包括两个方面：一是CDC，基于日志做数据变化的捕捉，包括增删改；二是增量数据的准实时导入，依赖于自增id或时间字段，相对于CDC而言部署较为简单，适用场景也仅适用于增量数据。在此仅介绍增量数据的接入。
一、clickhouse单机安装

1. 升级OpenSSL
   
   • rpm -Uvh openssl-1.0.2k-12.el7.x86_64.rpm
2. 安装Unixodbc
   
   • rpm -ivh unixODBC-2.3.1-11.el7.x86_64.rpm
3. 安装clickhouse
   
   • http://repo.yandex.ru/clickhouse/rpm/stable/x86_64/
     
   • rpm -ivh clickhouse*
     

二、oracle–>flume–>kafka 尝试使用kafka connect 中的jdbc source 连接oracle，一直连接失败。但是连接mysql是可以的，暂时未找到问题所在。

1. flume安装
   
   • （略）使用hdp中 Flume 1.5.2
2. kafka安装
   
   • （略）使用hdp中kafka 0.10.1
3. flume-ng-sql-source
   
   • 下载地址：https://github.com/keedio/flume-ng-sql-source.git，http://repo.red-soft.biz/repos/clickhouse/stable/el7/
   • 编译：
     
     • 为clickhouse写入方便，将默认分隔符由‘，’改为‘\t’；
     • 以后可考虑增加json格式。
   • 把flume-ng-sql-source-1.4.3.jar放到flume的lib目录下
4. oracle
   
   • 建表
     
     • 
create table flume_ng_sql_source (
id varchar2(32) primary key,
msg varchar2(32),
createTime date not null
);

   • 插入数据
     
     • 
insert into flume_ng_sql_source(id,msg,createTime) values('1','Test increment Data',to_date('2017-08-01 07:06:20','yyyy-mm-dd hh24:mi:ss'));
insert into flume_ng_sql_source(id,msg,createTime) values('2','Test increment Data',to_date('2017-08-02 07:06:20','yyyy-mm-dd hh24:mi:ss'));
insert into flume_ng_sql_source(id,msg,createTime) values('3','Test increment Data',to_date('2017-08-03 07:06:20','yyyy-mm-dd hh24:mi:ss'));
insert into flume_ng_sql_source(id,msg,createTime) values('4','Test increment Data',to_date('2017-08-04 07:06:20','yyyy-mm-dd hh24:mi:ss'));
insert into flume_ng_sql_source(id,msg,createTime) values('5','Test increment Data',to_date('2017-08-05 07:06:20','yyyy-mm-dd hh24:mi:ss'));
insert into flume_ng_sql_source(id,msg,createTime) values('6','Test increment Data',to_date('2017-08-06 07:06:20','yyyy-mm-dd hh24:mi:ss'));
commit;

   • 把ojdbc6.jar放到flume的lib目录下
     
5. 新建flume-sql.conf
   
   • 在/usr/local/flume目录新建flume-sql.conf
     

     agentTest.channels = channelTest agentTest.sources = sourceTest agentTest.sinks = sinkTest###########sql source################## For each Test of the sources, the type is definedagentTest.sources.sourceTest.type = org.keedio.flume.source.SQLSource agentTest.sources.sourceTest.hibernate.connection.url = jdbc:oracle:thin:@10.8.7.96:1521/ora11g# Hibernate Database connection propertiesagentTest.sources.sourceTest.hibernate.connection.user = taizhou agentTest.sources.sourceTest.hibernate.connection.password = 123456 agentTest.sources.sourceTest.hibernate.connection.autocommit = true agentTest.sources.sourceTest.hibernate.dialect = org.hibernate.dialect.Oracle10gDialect agentTest.sources.sourceTest.hibernate.connection.driver_class = oracle.jdbc.driver.OracleDriver agentTest.sources.sourceTest.run.query.delay=10000 agentTest.sources.sourceTest.enclose.by.quotes = falseagentTest.sources.sourceTest.status.file.path = /usr/local/flume agentTest.sources.sourceTest.status.file.name = agentTest.sqlSource.status# Custom queryagentTest.sources.sourceTest.start.from = 2017-07-31 07:06:20 agentTest.sources.sourceTest.custom.query = SELECT TO_CHAR(CREATETIME,'YYYY-MM-DD HH24:MI:SS'),ID,MSG FROM FLUME_NG_SQL_SOURCE WHERE CREATETIME > TO_DATE('$@$','YYYY-MM-DD HH24:MI:SS') ORDER BY CREATETIME ASCagentTest.sources.sourceTest.batch.size = 1000 agentTest.sources.sourceTest.max.rows = 1000 agentTest.sources.sourceTest.hibernate.connection.provider_class = org.hibernate.connection.C3P0ConnectionProvider agentTest.sources.sourceTest.hibernate.c3p0.min_size=1 agentTest.sources.sourceTest.hibernate.c3p0.max_size=10##############################agentTest.channels.channelTest.type = memory agentTest.channels.channelTest.capacity = 1000 agentTest.channels.channelTest.transactionCapacity = 1000 agentTest.channels.channelTest.byteCapacityBufferPercentage = 20 agentTest.channels.channelTest.byteCapacity = 1600000agentTest.sinks.sinkTest.type = org.apache.flume.sink.kafka.KafkaSink agentTest.sinks.sinkTest.topic = test13 agentTest.sinks.sinkTest.brokerList = 10.8.7.85:6667 agentTest.sinks.sinkTest.requiredAcks = 1 agentTest.sinks.sinkTest.batchSize = 20 agentTest.sinks.sinkTest.channel = channelTestagentTest.sinks.sinkTest.channel = channelTest agentTest.sources.sourceTest.channels=channelTest

     
     
   • 注意时间字段为第一个；
     
   • $@$带引号，start.from值不需要引号，因其值填充$@$之后会有引号。
     
6. 启动flume
   
   • flume/bin目录下
     
     • flume-ng agent –conf conf –conf-file /usr/local/flume/flume-sql.conf –name agentTest -Dflume.root.logger=INFO,console
   • 查看是否有数据写入kafka
     
     • kafka-console-consumer.sh –zookeeper localhost:2181 –topic TestTopic
     • 数据为制表符分割，无引号
7. 查看状态文件
   
   • /usr/local/flume/agentTest.sqlSource.status
     
     • 其中LastIndex 值即为最后导入的最大时间字段
     • 若想从头重新导入，需把此文件删除

三、oracle–>flume–>clickhouse flume的source及channel同接入kafka相同，仅需修改sink即可。

1. flume-clickhouse-sink
   
   • https://reviews.apache.org/r/50692/diff/1#2
   • 编译
   • flume-clickhouse-sink-1.5.2.jar放到flume的lib目录下
2. clickhouse建表
   
   • 开放远程访问
     
     • /etc/clickhouse-server/config.xml

   • ::1 本机ip

     
     clickhouse-client -m
     

     • CREATE TABLE flume_ng_sql_source ( createtime DateTime, id UInt32, msg String )engine = MergeTree PARTITION BY toYYYYMMDD(createtime) order by id SETTINGS index_granularity = 8192;

       
       
     • 注意字段顺序同custom.query中相同
       
     • DateTime与Date区别
       
3. 新建ch.conf
   
   • 在/usr/local/flume目录新建ch.conf
     

   • agentTest.channels = channelTest agentTest.sources = sourceTest agentTest.sinks = sinkTest###########sql source################## For each Test of the sources, the type is definedagentTest.sources.sourceTest.type = org.keedio.flume.source.SQLSource agentTest.sources.sourceTest.hibernate.connection.url = jdbc:oracle:thin:@10.8.7.96:1521/ora11g# Hibernate Database connection propertiesagentTest.sources.sourceTest.hibernate.connection.user = taizhou agentTest.sources.sourceTest.hibernate.connection.password = 123456 agentTest.sources.sourceTest.hibernate.connection.autocommit = true agentTest.sources.sourceTest.hibernate.dialect = org.hibernate.dialect.Oracle10gDialect agentTest.sources.sourceTest.hibernate.connection.driver_class = oracle.jdbc.driver.OracleDriver agentTest.sources.sourceTest.run.query.delay=10000 agentTest.sources.sourceTest.enclose.by.quotes = falseagentTest.sources.sourceTest.status.file.path = /usr/local/flume agentTest.sources.sourceTest.status.file.name = agentTest.sqlSource.status# Custom queryagentTest.sources.sourceTest.start.from = 2017-07-31 07:06:20 agentTest.sources.sourceTest.custom.query = SELECT TO_CHAR(CREATETIME,'YYYY-MM-DD HH24:MI:SS'),ID,MSG FROM FLUME_NG_SQL_SOURCE WHERE CREATETIME > TO_DATE('$@$','YYYY-MM-DD HH24:MI:SS') ORDER BY CREATETIME ASCagentTest.sources.sourceTest.batch.size = 1000 agentTest.sources.sourceTest.max.rows = 1000 agentTest.sources.sourceTest.hibernate.connection.provider_class = org.hibernate.connection.C3P0ConnectionProvider agentTest.sources.sourceTest.hibernate.c3p0.min_size=1 agentTest.sources.sourceTest.hibernate.c3p0.max_size=10##############################agentTest.channels.channelTest.type = memory agentTest.channels.channelTest.capacity = 1000 agentTest.channels.channelTest.transactionCapacity = 1000 agentTest.channels.channelTest.byteCapacityBufferPercentage = 20 agentTest.channels.channelTest.byteCapacity = 1600000agentTest.sinks.sinkTest.type = org.apache.flume.sink.clickhouse.ClickHouseSink agentTest.sinks.sinkTest.host = http://10.8.7.96 agentTest.sinks.sinkTest.port = 8123 agentTest.sinks.sinkTest.database = default agentTest.sinks.sinkTest.table = flume_ng_sql_source agentTest.sinks.sinkTest.batchSize = 3000 agentTest.sinks.sinkTest.format = TabSeparatedagentTest.sinks.sinkTest.channel = channelTest agentTest.sources.sourceTest.channels=channelTest

     
     
4. 启动flume
   
   • flume/bin目录下
     
     • flume-ng agent –conf conf –conf-file /usr/local/flume/ch.conf –name agentTest -Dflume.root.logger=INFO,console
5. 查看clickhouse数据
   
   • 查询数据：
     
     • select * from flume_ng_sql_source order by id;
   • 查看数据目录：
     
     • /var/lib/clickhouse/data/default/flume_ng_sql_source/
     • 每个分区一个目录
6. 问题
   
   • 当数据从oracle读取成功，而写入clickhouse失败时，状态文件中的lastindex值也会改变。
   • 此流程是否应改为oracle–>flume–>kafka–>flume–>clickhouse
   参考：https://www.cnblogs.com/yangcx666/p/8723849.html
   【oracle数据接入clickhouse】?
   

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