Flume Sinks官网剖析（博主推荐）

不多说，直接上干货！

Flume Sources官网剖析(博主推荐）

Flume Channels官网剖析(博主推荐）

Flume Channel Selectors官网剖析(博主推荐）

一切来源于flume官网

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

Flume Sinks

• HDFS Sink
• Hive Sink
• Logger Sink
• Avro Sink
• Thrift Sink
• IRC Sink
• File Roll Sink
• Null Sink
• HBaseSinks
  • HBaseSink
  • AsyncHBaseSink
• MorphlineSolrSink
• ElasticSearchSink
• Kite Dataset Sink
• Kafka Sink
• Custom Sink

HDFS Sink

官网给我们的参考例子是

a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = hdfs
a1.sinks.k1.channel = c1
a1.sinks.k1.hdfs.path = /flume/events/%y-%m-%d/%H%M/%S
a1.sinks.k1.hdfs.filePrefix = events-
a1.sinks.k1.hdfs.round = true
a1.sinks.k1.hdfs.roundValue = 10
a1.sinks.k1.hdfs.roundUnit = minute

我们一般是

agent1.sinks = hdfs-sink1




# Define and configure a hdfs sink
agent1.sinks.hdfs-sink1.channel = ch1
agent1.sinks.hdfs-sink1.type = hdfs
agent1.sinks.hdfs-sink1.hdfs.path = hdfs://master:8030/flume/%Y%m%d
agent1.sinks.hdfs-sink1.hdfs.filePrefix = flume
agent1.sinks.hdfs-sink1.hdfs.fileSuffix = .log
agent1.sinks.hdfs-sink1.hdfs.useLocalTimeStamp = true
agent1.sinks.hdfs-sink1.hdfs.rollInterval = 30
agent1.sinks.hdfs-sink1.hdfs.rollSize = 67108864
agent1.sinks.hdfs-sink1.hdfs.rollCount = 0
agent1.sinks.hdfs-sink1.hdfs.codeC = snappy（当然这行，你得自行去安装snappy才可用）

Hive Sink

Logger Sink

Avro Sink

Thrift Sink

IRC Sink

File Roll Sink

Null Sink

HBaseSinks（这里包含HBaseSink  和  AsyncHBaseSink）

 　　自行去官网看吧！

MorphlineSolrSink

ElasticSearchSink

官网提供给我们的参考案例是

a1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = elasticsearch
a1.sinks.k1.hostNames = 127.0.0.1:9200,127.0.0.2:9300
a1.sinks.k1.indexName = foo_index
a1.sinks.k1.indexType = bar_type
a1.sinks.k1.clusterName = foobar_cluster
a1.sinks.k1.batchSize = 500
a1.sinks.k1.ttl = 5d
a1.sinks.k1.serializer = org.apache.flume.sink.elasticsearch.ElasticSearchDynamicSerializer
a1.sinks.k1.channel = c1

Kite Dataset Sink

Kafka Sink

　　

　　这里，官网还提供了Security and Kafka Sink、TLS and Kafka Sink、Kerberos and Kafka Sink，自行去看官网吧！

Custom Sink

 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!