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、[b]TLS and Kafka Sink、[b]Kerberos and Kafka Sink，自行去看官网吧！[/b][/b]

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!