HiI'm using Apache Spark 1.1.0 and I'm currently having issue with broadcast
method. So when I call broadcast function on a small dataset to a 5 nodes
cluster, I experiencing the "Error sending message as driverActor is null"
after broadcast the variables several times (apps running under jboss)
Yep, sorry, had a rough day..
On Thursday, January 22, 2015 2:25 PM, Guozhang Wang
wrote:
Hi Zijing,
Sounds like you sent to the wrong mailing list :P
Guozhang
On Thu, Jan 22, 2015 at 11:12 AM, Zijing Guo
wrote:
> HiI'm using Apache Spark 1.1.0 and I'm currently
Hi,I have some question regarding how kafka consumers achieve parallel
consuming for one topic. Say I have 2 partitions for topic1 and I have a
consumer Group A, now:1: If no consumer under consumer Group A subscribe
topic1, then no message will be delivery to this consumer group.2: If there is
lient (org.apache.kafka.clients.consumer.KafkaConsumer)
that is going to be out in the next release, each consumer instance is
single-threaded, i.e. it will only have one thread for fetching data.
On Wed, Feb 4, 2015 at 3:43 AM, Zijing Guo wrote:
Hi,I have some question regarding how kafka consumers achieve par
Hi,I have a 2 nodes kafka cluster with 2 instances of brokers and zookeepers.
And then I create a topic kafka-test with 2 partitions and replication-factor
=2. My producer config is: {"partitioner.class"
"kafka.producer.DefaultPartitioner" "metadata.brok
rokers and zookeepers. And then I create a
topic kafka-test with 2 partitions and replication-factor =2. My prod... |
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On Sunday, February 8, 2015 4:18 AM, Zijing Guo
wrote:
Hi,I have a 2 nodes kafka cluster with 2 in
The kafka's port can be configured through server.properties, and if you use
kafka's zk, then you can modify the zookeeper.properties file, for clientPort.
On Tuesday, February 10, 2015 2:11 PM, Su She
wrote:
I was looking at the documentation and I see that the
broker/server/consum
Partition key is on producer level, that if you have multiple partitions for a
single topic, then you can pass in a key for the KeyedMessage object, and base
on different partition.class, it will return a partition number for the
producer, and producer will find the leader for that partition.I d
Hi community,I have a 2 nodes test cluster with 2 zk instance and 2 broker
instance running and I'm experimenting kafka producer in a cluster environment.
So I create a topic "foo" with 2 partitions and replication 1.I create a async
Producer without defining partition.class (so the partitioner
And I'm using kafka version 0.8.2.0
On Thursday, March 5, 2015 11:51 AM, Zijing Guo
wrote:
Hi community,I have a 2 nodes test cluster with 2 zk instance and 2 broker
instance running and I'm experimenting kafka producer in a cluster environment.
So I create a topic &q
sage), so in your case key is "test message" + e.
Thanks,
Mayuresh
On Thu, Mar 5, 2015 at 9:25 AM, Zijing Guo
wrote:
> And I'm using kafka version 0.8.2.0
>
> On Thursday, March 5, 2015 11:51 AM, Zijing Guo
> wrote:
>
>
> Hi community,I have a 2 nodes
Hi Guozhang,I'm using kafka 0.8.2.0
Thanks
On Thursday, March 5, 2015 12:57 PM, Guozhang Wang
wrote:
Zijing,
Which version of Kafka client are you using?
On Thu, Mar 5, 2015 at 8:50 AM, Zijing Guo
wrote:
> Hi community,I have a 2 nodes test cluster with 2 zk instan
etBytes, "test message".getBytes)).
When I convert the data and key to bytes, the data is not going to the proper
partitions.
Thanks
On Thursday, March 5, 2015 12:59 PM, Zijing Guo
wrote:
Hi Guozhang,I'm using kafka 0.8.2.0
Thanks
On Thursday, March 5, 2015
erializer.class.
This StringEncoder
takes string as input and as you know string always returns same hash code
if the value is the same.
On Fri, Mar 6, 2015 at 2:23 AM, Zijing Guo
wrote:
> And also there something that I think worth mentioning,when I
> call prod.send(KeyedMessage("foo&qu
Hi all,The document is very beautiful and the Kafka release version for this
will be? and what is the timeline?
ThanksEdwin
On Friday, March 20, 2015 4:20 PM, Rajiv Kurian
wrote:
Awesome - can't wait for this version to be out!
On Fri, Mar 20, 2015 at 12:22 PM, Jay Kreps wrote:
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