参考官网：
一、下载kafka
官网下载地址
截至2019年7月8日 最新版本为 2.3.0 2.12为编译的scala版本 2.3.0为kafka版本
二、启动服务
要先启动zookeeper kafka内置了一个 也可以不用
> bin/zookeeper-server-start.sh config/zookeeper.properties [2013-04-22 15:01:37,495] info reading configuration from: config/zookeeper.properties (org.apache.zookeeper.server.quorum.quorumpeerconfig) ... > bin/kafka-server-start.sh config/server.properties [2013-04-22 15:01:47,028] info verifying properties (kafka.utils.verifiableproperties) [2013-04-22 15:01:47,051] info property socket.send.buffer.bytes is overridden to 1048576 (kafka.utils.verifiableproperties) ...
三、创建topic
replication-factor为1 partitions为1 > bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 1 --partitions 1 --topic test 查看topic > bin/kafka-topics.sh --list --bootstrap-server localhost:9092 test
也可以不创建topic 设置自动创建 当publish的时候
四、发送消息
用command line client 进行测试 一行就是一条消息
> bin/kafka-console-producer.sh --broker-list localhost:9092 --topic test this is a message this is another message
五、消费者
command line consumer 可以接收消息
> bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic test --from-beginning this is a message this is another message
六、设置多broker集群
单broker没有意思 我们可以设置三个broker
首先为每个broker 复制配置文件
> cp config/server.properties config/server-1.properties > cp config/server.properties config/server-2.properties
然后编辑
我要评论config/server-1.properties:
broker.id=1
listeners=plaintext://:9093
log.dirs=/tmp/kafka-logs-1
config/server-2.properties:
broker.id=2
listeners=plaintext://:9094
log.dirs=/tmp/kafka-logs-2
broker.id是唯一的 cluster中每一个node的名字 我们在same machine上 所有要设置listeners和log.dirs 以防冲突
建一个topic 一个partitions 三个replication-factor
> bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 3 --partitions 1 --topic my-replicated-topic
用describe看看都是什么情况
> bin/kafka-topics.sh --describe --bootstrap-server localhost:9092 --topic my-replicated-topic
topic:my-replicated-topic partitioncount:1 replicationfactor:3 configs:
topic: my-replicated-topic partition: 0 leader: 1 replicas: 1,2,0 isr: 1,2,0
"isr" is the set of "in-sync" replicas. this is the subset of the replicas list that is currently alive and caught-up to the leader.
刚才那个topic
bin/kafka-topics.sh --describe --bootstrap-server localhost:9092 --topic test
topic:test partitioncount:1 replicationfactor:1 configs:
topic: test partition: 0 leader: 0 replicas: 0 isr: 0
发送 接收
> bin/kafka-console-producer.sh --broker-list localhost:9092 --topic my-replicated-topic ... my test message 1 my test message 2 ^c > bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --from-beginning --topic my-replicated-topic ... my test message 1 my test message 2 ^c
试一下容错 fault-tolerance
> ps aux | grep server-1.properties
7564 ttys002 0:15.91 /system/library/frameworks/javavm.framework/versions/1.8/home/bin/java...
> kill -9 7564
看一下变化：leader换了一个 因为1被干掉了
> bin/kafka-topics.sh --describe --bootstrap-server localhost:9092 --topic my-replicated-topic
topic:my-replicated-topic partitioncount:1 replicationfactor:3 configs:
topic: my-replicated-topic partition: 0 leader: 2 replicas: 1,2,0 isr: 2,0
还是收到了消息
> bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --from-beginning --topic my-replicated-topic
...
my test message 1
my test message 2
^c
七、使用kafka import/export data
刚才都是console 的数据，其他的sources other systems呢 用kafka connect
弄一个数据
> echo -e "foo\nbar" > test.txt
启动 指定配置文件
> bin/connect-standalone.sh config/connect-standalone.properties config/connect-file-source.properties config/connect-file-sink.properties
验证一下
> more test.sink.txt
foo
bar
消费者端
> bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic connect-test --from-beginning
{"schema":{"type":"string","optional":false},"payload":"foo"}
{"schema":{"type":"string","optional":false},"payload":"bar"}
...
可以继续写入
> echo another line>> test.txt
八、使用kafka streams
wordcountdemo
代码片段
// serializers/deserializers (serde) for string and long types
final serde<string> stringserde = serdes.string();
final serde<long> longserde = serdes.long();
// construct a `kstream` from the input topic "streams-plaintext-input", where message values
// represent lines of text (for the sake of this example, we ignore whatever may be stored
// in the message keys).
kstream<string, string> textlines = builder.stream("streams-plaintext-input",
consumed.with(stringserde, stringserde);
ktable<string, long> wordcounts = textlines
// split each text line, by whitespace, into words.
.flatmapvalues(value -> arrays.aslist(value.tolowercase().split("\\w+")))
// group the text words as message keys
.groupby((key, value) -> value)
// count the occurrences of each word (message key).
.count()
// store the running counts as a changelog stream to the output topic.
wordcounts.tostream().to("streams-wordcount-output", produced.with(serdes.string(), serdes.long()));
建一个 kafka producer 指定input topic output topic
> bin/kafka-topics.sh --create \
--bootstrap-server localhost:9092 \
--replication-factor 1 \
--partitions 1 \
--topic streams-wordcount-output \
--config cleanup.policy=compact
created topic "streams-wordcount-output".
启动wordcount demo application
bin/kafka-run-class.sh org.apache.kafka.streams.examples.wordcount.wordcountdemo
启动一个生产者写数据
> bin/kafka-console-producer.sh --broker-list localhost:9092 --topic streams-plaintext-input all streams lead to kafka hello kafka streams
启动一个消费者接数据
> bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 \
--topic streams-wordcount-output \
--from-beginning \
--formatter kafka.tools.defaultmessageformatter \
--property print.key=true \
--property print.value=true \
--property key.deserializer=org.apache.kafka.common.serialization.stringdeserializer \
--property value.deserializer=org.apache.kafka.common.serialization.longdeserializer
all 1
streams 1
lead 1
to 1
kafka 1
hello 1
kafka 2
streams 2
kafka 1
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