I am doing experimenting with kafka. I already start the
kafka-console-producer and
kafka-console-consumer.
I send messages with kafka-producer and successfully receive at the kafka-console-consumer.
Now I want to produce and consume around 5000 messages at once. I look into documentation and get to know that there are two commands.
kafka-verifiable-producer.sh
kafka-verifiable-consumer.sh
I tried to use these commands .
kafka-verifiable-producer.sh --broker-list localhost:9092 --max-messages 5000 --topic data-sending
kafka-verifiable-consumer.sh --group-instance-id 1 --group-id data-world --topic data-sending --broker-list localhost:9092
The result is as follow
"timestamp":1581268289761,"name":"producer_send_success","key":null,"value":"4996","offset":44630,"topic":"try_1","partition":0}
{"timestamp":1581268289761,"name":"producer_send_success","key":null,"value":"4997","offset":44631,"topic":"try_1","partition":0}
{"timestamp":1581268289761,"name":"producer_send_success","key":null,"value":"4998","offset":44632,"topic":"try_1","partition":0}
{"timestamp":1581268289761,"name":"producer_send_success","key":null,"value":"4999","offset":44633,"topic":"try_1","partition":0}
{"timestamp":1581268289769,"name":"shutdown_complete"}
{"timestamp":1581268289771,"name":"tool_data","sent":5000,"acked":5000,"target_throughput":-1,"avg_throughput":5285.412262156448}
On the consumer console the result is as follow
{"timestamp":1581268089357,"name":"records_consumed","count":352,"partitions":[{"topic":"try_1","partition":0,"count":352,"minOffset":32777,"maxOffset":33128}]}
{"timestamp":1581268089359,"name":"offsets_committed","offsets":[{"topic":"try_1","partition":0,"offset":33129}],"success":true}
{"timestamp":1581268089384,"name":"records_consumed","count":500,"partitions":[{"topic":"try_1","partition":0,"count":500,"minOffset":33129,"maxOffset":33628}]}
{"timestamp":1581268089391,"name":"offsets_committed","offsets":[{"topic":"try_1","partition":0,"offset":33629}],"success":true}
{"timestamp":1581268089392,"name":"records_consumed","count":270,"partitions":[{"topic":"try_1","partition":0,"count":270,"minOffset":33629,"maxOffset":33898}]}
{"timestamp":1581268089394,"name":"offsets_committed","offsets":[{"topic":"try_1","partition":0,"offset":33899}],"success":true}
{"timestamp":1581268089415,"name":"records_consumed","count":500,"partitions":[{"topic":"try_1","partition":0,"count":500,"minOffset":33899,"maxOffset":34398}]}
{"timestamp":1581268089416,"name":"offsets_committed","offsets":[{"topic":"try_1","partition":0,"offset":34399}],"success":true}
{"timestamp":1581268089417,"name":"records_consumed","count":235,"partitions":[{"topic":"try_1","partition":0,"count":235,"minOffset":34399,"maxOffset":34633}]}
{"timestamp":1581268089419,"name":"offsets_committed","offsets":[{"topic":"try_1","partition":0,"offset":34634}],"success":true}
In above results, the key is null.
How i can send a bulk of messages with this command ?
I tried to look into one example how to use them but didn't found any. It produces integer number like values but where i can insert the messages?.
Is there any way i can use this command to produce messages in bulk? Also is it possible to implement such commands in windows or it is just for linux?
Any link to the examples would be greatly appreciated.
The script kafka-verifiable-producer.sh executes the classorg.apache.kafka.tools.VerifiableProducer.
(https://github.com/apache/kafka/blob/trunk/tools/src/main/java/org/apache/kafka/tools/VerifiableProducer.java)
Its program arguments --throughput, --repeating-keys and --value-prefix may fulfil your needs.
For example, the following produces messages with prefix value, 111 and with an incremental key which rotates for every 5 messages. You can also configure the throughput of the messages with the --throughput option. Int this example, it produces an average of 5 messages per second.
./kafka-verifiable-producer.sh --broker-list localhost:9092 --max-messages 10 --repeating-keys 5 --value-prefix 100 --throughput 5 --topic test
{"timestamp":1581271492652,"name":"startup_complete"}
{"timestamp":1581271492860,"name":"producer_send_success","key":"0","value":"100.0","offset":45,"topic":"test","partition":0}
{"timestamp":1581271492862,"name":"producer_send_success","key":"1","value":"100.1","offset":46,"topic":"test","partition":0}
{"timestamp":1581271493048,"name":"producer_send_success","key":"2","value":"100.2","offset":47,"topic":"test","partition":0}
{"timestamp":1581271493254,"name":"producer_send_success","key":"3","value":"100.3","offset":48,"topic":"test","partition":0}
{"timestamp":1581271493256,"name":"producer_send_success","key":"4","value":"100.4","offset":49,"topic":"test","partition":0}
{"timestamp":1581271493457,"name":"producer_send_success","key":"0","value":"100.5","offset":50,"topic":"test","partition":0}
{"timestamp":1581271493659,"name":"producer_send_success","key":"1","value":"100.6","offset":51,"topic":"test","partition":0}
{"timestamp":1581271493860,"name":"producer_send_success","key":"2","value":"100.7","offset":52,"topic":"test","partition":0}
{"timestamp":1581271494063,"name":"producer_send_success","key":"3","value":"100.8","offset":53,"topic":"test","partition":0}
{"timestamp":1581271494268,"name":"producer_send_success","key":"4","value":"100.9","offset":54,"topic":"test","partition":0}
{"timestamp":1581271494483,"name":"shutdown_complete"}
{"timestamp":1581271494484,"name":"tool_data","sent":10,"acked":10,"target_throughput":5,"avg_throughput":5.452562704471101}
The easiest is to modify/extend the above class If you are looking for more customized message keys and values.
Related
Do we have any option like fetching recent 10/20/ etc., messages from Kafka topic. I can see --from-beginning option to fetch all messages from the topic but if I want to fetch only few messages first, last, middle or latest 10. do we have some options?
First N messages
You can use --max-messages N in order to fetch the first N messages of a topic.
For example, to get the first 10 messages, run
bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic test --from-beginning --max-messages 10
Next N messages
bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic test --max-messages 10
Last N messages
To get the last N messages, you need to define a specific partition and the offset:
bin/kafka-simple-consumer-shell.sh --bootstrap-server localhost:9092 --topic test--partition testPartition --offset yourOffset
M to N messages
Again, for this case you'd have to define both the partition and the offset.
For example, you can run the following in order to get N messages starting from an offset of your choice:
bin/kafka-simple-consumer-shell.sh --bootstrap-server localhost:9092 --topic test--partition testPartition --offset yourOffset --max-messages 10
If you don't want to stick to the binaries, I would suggest you to use kt which is a Kafka command line tool with more options and functionality.
For more details refer to the article How to fetch specific messages in Apache Kafka
Without specifying an offset and partition, you'll only be able to consume next N or first N. To consume in the "middle" of the unbounded stream, you need to give the offset
Other than console consumer, there's kafkacat
First twenty
kafkacat -C -b -t topic -o earliest -c 20
And from previous twenty (from partition zero)
kafkacat -C -b -t topic -P 0 -o -20
I ran into this data issue today and to solve it I have to recalculate everything from the last 3 months. But, in Kafka when I run this command :
./kafka-console-consumer.sh --bootstrap-server 10.8.95.21:9092 --topic backoffice --from-beginning
it encounters an error : The requested offset is not within the range of offsets maintained by the server
The --from-beginning is trying to get data from Offsets whose data has been purged by kafka.
Can I list offsets alongwith the time it was created? So, that I can estimate from where I can start consuming data. Otherwise, if I can identify the oldest Kafka Offset that has data, I can start reading from that offset.
Have you tried out kt (fgeller/kt). This is an amazing tool as an alternative to Kafka console tools. This is written in go, so amazingly fast also. And one other advantage is you can get offset of each message by default there.
So you can simply write something like :
kt consume -brokers <broker-name> -topic <topic-name> oldest
and the output will be something like this :
{
"partition": 0,
"offset": <oldest-offset>,
"key": "<your-key>",
"value": "<value of the message>"
}
Edit: If you want some UI for this, Kafdrop is just what you are looking for. Setting it up is pretty easy and you can get all offset related information quite easily. You can even watch a message corresponding to an offset which is pretty amazing.
The following cmd worked for me:
./bin/kafka-run-class.sh kafka.tools.GetOffsetShell --broker-list <broker-name> --topic <topic-name> --time -2
i'm trying to start a consumer using Apache Kafka, it used to work well, but i had to format my pc and reinstall everything again, and now when trying to run this:
bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic test --from-beginning
this is what i'm getting:
Missing required argument "[zookeeper]"
Option Description
------ -----------
--blacklist <blacklist> Blacklist of topics to exclude from
consumption.
--bootstrap-server <server to connect
to>
--consumer.config <config file> Consumer config properties file.
--csv-reporter-enabled If set, the CSV metrics reporter will
be enabled
--delete-consumer-offsets If specified, the consumer path in
zookeeper is deleted when starting up
--formatter <class> The name of a class to use for
formatting kafka messages for
display. (default: kafka.tools.
DefaultMessageFormatter)
--from-beginning If the consumer does not already have
an established offset to consume
from, start with the earliest
message present in the log rather
than the latest message.
--key-deserializer <deserializer for
key>
--max-messages <Integer: num_messages> The maximum number of messages to
consume before exiting. If not set,
consumption is continual.
--metrics-dir <metrics directory> If csv-reporter-enable is set, and
this parameter isset, the csv
metrics will be outputed here
--new-consumer Use the new consumer implementation.
--property <prop>
--skip-message-on-error If there is an error when processing a
message, skip it instead of halt.
--timeout-ms <Integer: timeout_ms> If specified, exit if no message is
available for consumption for the
specified interval.
--topic <topic> The topic id to consume on.
--value-deserializer <deserializer for
values>
--whitelist <whitelist> Whitelist of topics to include for
consumption.
--zookeeper <urls> REQUIRED: The connection string for
the zookeeper connection in the form
host:port. Multiple URLS can be
given to allow fail-over.
my guess is that there's some kind of problem with the zookeeper connection port, because it's telling me to specify the port which zookeeper has to use to get connected to kafka. I'm not sure of this though, and don't know how to figure out the port to specify if this was the problem. Any suggestions??
Thanks in advance for the help
It looks like you are using an old version of the Kafka tools that requires to set --new-consumer if you want to directly connect to the brokers.
I'd recommend picking a recent version of Kafka so you only need to specify --bootstrap-server like in your example: http://kafka.apache.org/downloads
I'm trying to send a file to a topic using:
cat myfile | kafka-console-producer.sh --broker-list $BROKER_URL --topic mytopic
When I check the count of messages on the topic I see few hundred messages less than actual.
During the write I see a message:
[2017-11-15 14:05:26,864] WARN Error while fetching metadata with correlation id 0 : {abc123=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)
I have correctly set the advertised hostname and listeners.
What confuses me is that if leader is not available how does it manage to put any messages into the topic? Furthermore, the message appears randomly, sometimes it doesn't.
How can I debug this?
As pointed out by vahid in comments this is a know issue.
The workaround is to specify --request-required-acks 1 to the console producer.
The random occurence of LEADER_NOT_AVAILABLE happens when I write to a new topic without explicitly creating it first. (Thanks to amethystic)
I am testing kafka performance through the shell script they already provided in the kafka package. I have created a topic with 10 partitions and pumping data as shown below:
./bin/kafka-producer-perf-test.sh --topic test-topic --num-records 9000000 --record-size 300 --throughput 250000 --producer-props bootstrap.servers=110.17.14.302:9092 acks=1 max.in.flight.requests.per.connection=1 batch.size=5000
Now I want to consume the data which I am pumping as shown above from multiple consumers not just from single consumer. So I started using kafka-consumer-perf-test.sh. This is what I was doing:
./bin/kafka-consumer-perf-test.sh --zookeeper localhost:2181 --topic test-topic --group test1
Is there any way by which we can run multiple kafka consumers in a single consumer group through command line and each of those consumers working on different partitions using kafka-consumer-perf-test.sh? I am working with Kafka version 0.10.1.0
I saw this so post but it doesn't say where to configure how many consumers we want to run and what partition they will work on?
Update:
This is the error I saw:
./bin/kafka-consumer-perf-test.sh --zookeeper 110.27.14.10:2181 --messages 50 --topic test-topic --threads 1
[2017-01-11 22:34:09,785] WARN [ConsumerFetcherThread-perf-consumer-14195_kafka-cluster-3098529006-zeidk-1484174043509-46a51434-2-0], Error in fetch kafka.consumer.ConsumerFetcherThread$FetchRequest#54fb48b6 (kafka.consumer.ConsumerFetcherThread)
java.lang.OutOfMemoryError: Java heap space
at java.nio.HeapByteBuffer.<init>(HeapByteBuffer.java:57)
at java.nio.ByteBuffer.allocate(ByteBuffer.java:335)
at org.apache.kafka.common.network.NetworkReceive.readFromReadableChannel(NetworkReceive.java:93)
at kafka.network.BlockingChannel.readCompletely(BlockingChannel.scala:129)
at kafka.network.BlockingChannel.receive(BlockingChannel.scala:120)
at kafka.consumer.SimpleConsumer.liftedTree1$1(SimpleConsumer.scala:99)
at kafka.consumer.SimpleConsumer.kafka$consumer$SimpleConsumer$$sendRequest(SimpleConsumer.scala:83)
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SimpleConsumer.scala:132)
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:132)
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:132)
at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply$mcV$sp(SimpleConsumer.scala:131)
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:131)
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:131)
at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:130)
at kafka.consumer.ConsumerFetcherThread.fetch(ConsumerFetcherThread.scala:109)
at kafka.consumer.ConsumerFetcherThread.fetch(ConsumerFetcherThread.scala:29)
at kafka.server.AbstractFetcherThread.processFetchRequest(AbstractFetcherThread.scala:118)
at kafka.server.AbstractFetcherThread.doWork(AbstractFetcherThread.scala:103)
at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:63)
Just run the same command (i.e., ./bin/kafka-consumer-perf-test.sh) multiple times in different consoles.
About partition assignment: Kafka will so this automatically for you. If you use consumer groups.
If you want to do manual partition assignment, you cannot use consumer groups. For this, you cannot use kafka-consumer-perf-test.sh but need to write your own.
Read JavaDoc here: https://kafka.apache.org/0101/javadoc/index.html?org/apache/kafka/clients/consumer/KafkaConsumer.html