Flume Source官网剖析(博主推荐）

　　

 　　不多说，直接上干货！

　　一切来源于flume官网

http://flume.apache.org/FlumeUserGuide.html

Flume Sources

• Avro Source
• Thrift Source
• Exec Source
• JMS Source
  • Converter
• Spooling Directory Source
  • Event Deserializers
    • LINE
    • AVRO
    • BlobDeserializer
• Taildir Source
• Twitter 1% firehose Source (experimental)
• Kafka Source
• NetCat Source
• Sequence Generator Source
• Syslog Sources
  • Syslog TCP Source
  • Multiport Syslog TCP Source
  • Syslog UDP Source
• HTTP Source
  • JSONHandler
  • BlobHandler
• Stress Source
• Legacy Sources
  • Avro Legacy Source
  • Thrift Legacy Source
• Custom Source
• Scribe Source

 　　

Avro Source

 　　官网给的例子是

a1.sources = r1
a1.channels = c1
a1.sources.r1.type = avro
a1.sources.r1.channels = c1
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 4141

　而我们常用的一般是，

agent1.sources = avro-source1
agent1.channels = ch1



#Define and configure an Spool directory source
agent1.sources.avro-source1.channels=ch1
agent1.sources.avro-source1.type=avro
agent1.sources.avro-source1.bind=0.0.0.0
agent1.sources.avro-source1.port=4141

a1.sources.r1.interceptors = i1
a1.sources.r1.interceptors.i1.type = com.djt.flume.interceptor.BehaviorIterceptor$BehaviorIterceptorBuilder

 　　

Thrift Source

　　

Exec Source

JMS Source

Spooling Directory Source（常用）

　　官网上给的参考例子是

a1.channels = ch-1
a1.sources = src-1

a1.sources.src-1.type = spooldir
a1.sources.src-1.channels = ch-1
a1.sources.src-1.spoolDir = /var/log/apache/flumeSpool
a1.sources.src-1.fileHeader = true

　　而我们常用的一般是，

agent1.sources = spool-source1
agent1.channels = ch1



#Define and configure an Spool directory source
agent1.sources.spool-source1.channels=ch1
agent1.sources.spool-source1.type=spooldir
agent1.sources.spool-source1.spoolDir=/home/hadoop/data/flume/sqooldir
agent1.sources.spool-source1.ignorePattern=event(_d{4}-d{2}-d{2}\_d{2}\_d{2})?.log(.COMPLETED)?
agent1.sources.spool-source1.deserializer.maxLineLength=10240

Taildir Source

Twitter 1% firehose Source

Kafka Source（常用）

 　　官网给的例子是

Example for topic subscription by comma-separated topic list.

tier1.sources.source1.type = org.apache.flume.source.kafka.KafkaSource
tier1.sources.source1.channels = channel1
tier1.sources.source1.batchSize = 5000
tier1.sources.source1.batchDurationMillis = 2000
tier1.sources.source1.kafka.bootstrap.servers = localhost:9092
tier1.sources.source1.kafka.topics = test1, test2
tier1.sources.source1.kafka.consumer.group.id = custom.g.id

 Example for topic subscription by regex

tier1.sources.source1.type = org.apache.flume.source.kafka.KafkaSource
tier1.sources.source1.channels = channel1
tier1.sources.source1.kafka.bootstrap.servers = localhost:9092
tier1.sources.source1.kafka.topics.regex = ^topic[0-9]$
# the default kafka.consumer.group.id=flume is used

　　具体官网里，还给了Security and Kafka Source、TLS and Kafka Source、Kerberos and Kafka Source。自行去看吧

NetCat Source

Sequence Generator Source

Syslog Sources

Syslog TCP Source

Multiport Syslog TCP Source

Syslog UDP Source

HTTP Source

 　　官网还提供了JSONHandler、BlobHandler。这里不多说，自行去看吧

Stress Source

Legacy Sources

Avro Legacy Source

Thrift Legacy Source

Custom Source

Scribe Source

 　　

 大家自己去看，罗列出来，是让大家，不要局限于博客本身，眼光要放宽和多看官网，一切来源于官网。

  对于大数据无论是各种开源项目，看官网是学习的最好办法，再加上他人的中文博客。不要觉得英文恐惧，专业英语也就那样！变成高手和大牛，加油吧，zhouls!