flume简单测试hdfssink && hivesink

quich start

vi example.conf

# example.conf: A single-node Flume configuration
# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1
# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44444
# Describe the sink
a1.sinks.k1.type = logger
# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

启动agent

bin/flume-ng agent --conf conf --conf-file conf/example.conf --name a1 -Dflume.root.logger=INFO,console

telnet port 44444 to send message

telnet localhost 44444
Trying ::1...
telnet: connect to address ::1: Connection refused
Trying 127.0.0.1...
Connected to localhost.
Escape character is '^]'.
aaaaaaaaaaaaaaaaaaaa
OK
dddddddddddddddddddd
OK

agent 收到数据并打印

2017-08-23 22:17:27,110 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - org.apache.flume.sink.LoggerSink.process(LoggerSink.java:95)] Event: { headers:{} body: 61 61 61 61 61 61 61
61 61 61 61 61 61 61 61 61 aaaaaaaaaaaaaaaa }
2017-08-23 22:17:31,113 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - org.apache.flume.sink.LoggerSink.process(LoggerSink.java:95)] Event: { headers:{} body: 64 64 64 64 64 64 64
64 64 64 64 64 64 64 64 64 dddddddddddddddd }

kafka source && log sink

vi kafkalog.conf

# Name the components on this agent
a1.sources = source1
a1.sinks = k1
a1.channels = c1
a1.sources.source1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.source1.channels = c1
a1.sources.source1.batchSize = 10
a1.sources.source1.batchDurationMillis = 2000
a1.sources.source1.kafka.bootstrap.servers = localhost:9092
a1.sources.source1.kafka.topics = test
a1.sources.source1.kafka.consumer.group.id = custom.g.id
# Describe the sink
a1.sinks.k1.type = logger
# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

注意：a1.channels.c1.transactionCapacity>=a1.sources.source1.batchSize

启动

bin/flume-ng agent --conf conf --conf-file conf/kafkalog.conf --name a1 -Dflume.root.logger=INFO,console

kafka source && hdfs sink

vi kafkahdfs.conf

# Name the components on this agent
a1.sources = source1
a1.sinks = k1
a1.channels = c1
a1.sources.source1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.source1.channels = c1
a1.sources.source1.batchSize = 10
a1.sources.source1.batchDurationMillis = 2000
a1.sources.source1.kafka.bootstrap.servers = localhost:9092
a1.sources.source1.kafka.topics = test
a1.sources.source1.kafka.consumer.group.id = custom.g.id
# Describe the sink
a1.sinks.k1.type = hdfs
# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1
a1.sinks.k1.hdfs.path = hdfs://work:9000/flume/test/%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

启动agent

bin/flume-ng agent --conf conf --conf-file conf/kafkahdfs.conf --name a1 -Dflume.root.logger=INFO,console

生成的文件

hadoop fs -ls /flume/test/17-08-23/2330/00
Found 13 items
-rw-r--r--
1 work supergroup
325 2017-08-23 23:31 /flume/test/17-08-23/2330/00/events-.1503502266033
-rw-r--r--
1 work supergroup
325 2017-08-23 23:31 /flume/test/17-08-23/2330/00/events-.1503502266034
-rw-r--r--
1 work supergroup
262 2017-08-23 23:31 /flume/test/17-08-23/2330/00/events-.1503502266035
-rw-r--r--
1 work supergroup
337 2017-08-23 23:33 /flume/test/17-08-23/2330/00/events-.1503502426378
-rw-r--r--
1 work supergroup
325 2017-08-23 23:33 /flume/test/17-08-23/2330/00/events-.1503502426379
-rw-r--r--
1 work supergroup
325 2017-08-23 23:33 /flume/test/17-08-23/2330/00/events-.1503502426380
-rw-r--r--
1 work supergroup
345 2017-08-23 23:34 /flume/test/17-08-23/2330/00/events-.1503502426381
-rw-r--r--
1 work supergroup
322 2017-08-23 23:34 /flume/test/17-08-23/2330/00/events-.1503502426382
-rw-r--r--
1 work supergroup
324 2017-08-23 23:34 /flume/test/17-08-23/2330/00/events-.1503502426383
-rw-r--r--
1 work supergroup
324 2017-08-23 23:34 /flume/test/17-08-23/2330/00/events-.1503502426384
-rw-r--r--
1 work supergroup
324 2017-08-23 23:34 /flume/test/17-08-23/2330/00/events-.1503502426385
-rw-r--r--
1 work supergroup
324 2017-08-23 23:34 /flume/test/17-08-23/2330/00/events-.1503502426386
-rw-r--r--
1 work supergroup
261 2017-08-23 23:34 /flume/test/17-08-23/2330/00/events-.1503502426387

kafka source hive sink

# Name the components on this agent
a1.sources = source1
a1.sinks = k1
a1.channels = c1
a1.sources.source1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.source1.channels = c1
a1.sources.source1.batchSize = 10
a1.sources.source1.batchDurationMillis = 2000
a1.sources.source1.kafka.bootstrap.servers = localhost:9092
a1.sources.source1.kafka.topics = test
a1.sources.source1.kafka.consumer.group.id = custom.g.id
# Describe the sink
a1.sinks.k1.type = hdfs
# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks = k1
a1.sinks.k1.type = hive
a1.sinks.k1.hive.metastore = thrift://192.168.1.115:9083
a1.sinks.k1.hive.database = default
a1.sinks.k1.hive.table = kafkauser
a1.sinks.k1.hive.partition = %y%m%d
a1.sinks.k1.useLocalTimeStamp = false
a1.sinks.k1.round = true
a1.sinks.k1.roundValue = 10
a1.sinks.k1.roundUnit = minute
a1.sinks.k1.serializer = DELIMITED
a1.sinks.k1.serializer.delimiter = "t"
a1.sinks.k1.serializer.serdeSeparator = 't'
a1.sinks.k1.serializer.fieldnames =name,age

建表

create table kafkauser(name string,age int)
partitioned by(day string)
clustered by (name) into 5 buckets
stored as orc;

注意:hive表必须是orc格式,分桶

配置hive

vi hive-site.xml:
<property>
<name>hive.support.concurrency</name>
<value>true</value>
</property>
<property>
<name>hive.exec.dynamic.partition.mode</name>
<value>nonstrict</value>
</property>
<property>
<name>hive.txn.manager</name>
<value>org.apache.hadoop.hive.ql.lockmgr.DbTxnManager</value>
</property>
<property>
<name>hive.compactor.initiator.on</name>
<value>true</value>
</property>
<property>
<name>hive.compactor.worker.threads</name>
<value>1</value>
</property>

启动hivemetastore

hive --service metastore &

启动agent

bin/flume-ng agent --conf conf --conf-file conf/kafkahive.conf --name a1 -Dflume.root.logger=INFO,console --classpath "/home/work/soft/apache-hive-0.14.0-bin/hcatalog/share/hcatalog/*":"/home/work/soft/apache-hive-0.14.0-bin/lib/*"
-Dflume.monitoring.type=http -Dflume.monitoring.port=34545

常见问题1

Failed to start agent because dependencies were not found in classpath. Error follows.
java.lang.NoClassDefFoundError: org/apache/hive/hcatalog/streaming/RecordWriter

解决办法一:

将hive中相关的jar复制到$FLUME_HOME/lib下

cp /home/xiaobin/soft/apache-hive-0.14.0-bin/hcatalog/share/hcatalog/*.jar
$FLUME_HOME/lib/
cp /home/xiaobin/soft/apache-hive-0.14.0-bin/hive-*.jar $FLUME_HOME/lib/
cp antlr-2.7.7.jar ~/soft/apache-flume-1.7.0-bin/lib/
cp antlr-runtime-3.4.jar ~/soft/apache-flume-1.7.0-bin/lib/

解决办法二:

指定classpath

 --classpath "/home/work/soft/apache-hive-0.14.0-bin/hcatalog/share/hcatalog/*":"/home/work/soft/apache-hive-0.14.0-bin/lib/*"

常见问题二:内存溢出

Exception in thread "PollableSourceRunner-KafkaSource-source1" java.lang.OutOfMemoryError: Java heap space
vi flume-ng
JAVA_OPTS="-Xmx500m"

常见问题三

Caused by: org.apache.flume.sink.hive.HiveWriter$ConnectException: Failed connecting to EndPoint {metaStoreUri='thrift://192.168.1.115:9083', database='default', table='kafkauser', partitionVals=[20170826] }
at org.apache.flume.sink.hive.HiveWriter.<init>(HiveWriter.java:99)
at org.apache.flume.sink.hive.HiveSink.getOrCreateWriter(HiveSink.java:343)
at org.apache.flume.sink.hive.HiveSink.drainOneBatch(HiveSink.java:295)
at org.apache.flume.sink.hive.HiveSink.process(HiveSink.java:253)
... 3 more
Caused by: org.apache.flume.sink.hive.HiveWriter$ConnectException: Failed connecting to EndPoint {metaStoreUri='thrift://192.168.1.115:9083', database='default', table='kafkauser', partitionVals=[20170826] }
at org.apache.flume.sink.hive.HiveWriter.newConnection(HiveWriter.java:383)
at org.apache.flume.sink.hive.HiveWriter.<init>(HiveWriter.java:86)
... 6 more
Caused by: java.util.concurrent.TimeoutException
at java.util.concurrent.FutureTask.get(FutureTask.java:205)
at org.apache.flume.sink.hive.HiveWriter.timedCall(HiveWriter.java:434)
at org.apache.flume.sink.hive.HiveWriter.newConnection(HiveWriter.java:376)
... 7 more

这个问题是目录权限问题,解决办法如下

hadoop dfs -chmod 777 /tmp/hive
chmod 777 /tmp/hive

常见问题四:

NullPointerException Non-local session path expected to be non-null

配置文件错误（仔细检查）

相关连接

http://henning.kropponline.de/2015/05/19/hivesink-for-flume/
https://my.oschina.net/wangjiankui/blog/711942
https://cwiki.apache.org/confluence/display/Hive/Streaming+Data+Ingest#StreamingDataIngest-StreamingRequirements

最后

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