rebalance | Rebalance & backtest your cryptocurrency portfolio | Cryptography library
kandi X-RAY | rebalance Summary
kandi X-RAY | rebalance Summary
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QUESTION
I am referring this answer:
Can we add manual immediate acknowledgement like below:
...ANSWER
Answered 2021-Jun-14 at 17:04Yes, you can use manual immediate here - you can also use AckMode.RECORD
and the container will automatically commit each offset after the record has been processed.
https://docs.spring.io/spring-kafka/docs/current/reference/html/#committing-offsets
QUESTION
I have a cluster of Artemis in Kubernetes with 3 group of master/slave:
...ANSWER
Answered 2021-Jun-02 at 01:56I've taken your simplified configured with just 2 nodes using a non-wildcard queue with redistribution-delay
of 0
, and I reproduced the behavior you're seeing on my local machine (i.e. without Kubernetes). I believe I see why the behavior is such, but in order to understand the current behavior you first must understand how redistribution works in the first place.
In a cluster every time a consumer is created the node on which the consumer is created notifies every other node in the cluster about the consumer. If other nodes in the cluster have messages in their corresponding queue but don't have any consumers then those other nodes redistribute their messages to the node with the consumer (assuming the message-load-balancing
is ON_DEMAND
and the redistribution-delay
is >= 0
).
In your case however, the node with the messages is actually down when the consumer is created on the other node so it never actually receives the notification about the consumer. Therefore, once that node restarts it doesn't know about the other consumer and does not redistribute its messages.
I see you've opened ARTEMIS-3321 to enhance the broker to deal with this situation. However, that will take time to develop and release (assuming the change is approved). My recommendation to you in the mean-time would be to configure your client reconnection which is discussed in the documentation, e.g.:
QUESTION
I need to read words from a text file and store their frequency of occurrence, their location in the document and the name of the document they appeared in. This needs to be stored in an AVL tree with the word as the key. I have some of it working but we are required to store the location and name of document as a pair. This is the part I am having issues with. I spent a few hours trying different things and I can't figure out why its doing what it is. Basically it seems to work kinda for the first few words in the text file but every new word it reads it adds the previous words location and document pairs onto the new word. Sorry for my messy code and poor explanation I am still new. Here is a screenshot of what my output is.
https://i.imgur.com/Be1EBKM.png
main.cpp code
...ANSWER
Answered 2021-May-19 at 13:12It took me some time to understand your problem and identify what was correct (the AVL part) and what was untested (in fact main
code).
The problem is that newItem
is declared outside of the while
loop, so it keeps its values between iterations, specificaly the index
member. So for a trivial fix, just declare it inside the loop:
QUESTION
I'm using spring-kafka '2.2.7.RELEASE' to create a batch consumer and I'm trying to understand how the consumer rebalancing works when my record processing time exceeds max.poll.interval.ms.
Here is my configurations.
...ANSWER
Answered 2021-May-13 at 21:27It behaves as expected for me:
QUESTION
First of all I'm sorry I'm a very beginner in JS. The following code stucks at the third line. In the background_mine method. I don't have access to this method, so how can I reset the code after 2 minutes stucking in this method
...ANSWER
Answered 2021-May-06 at 22:02In order to implement a timeout, you can use Promise.race
like this:
QUESTION
I am facing java.lang.NullPointerException
, while updating Akka version from 2.6.9 to 2.6.10.
Here's the sample code in which I am facing this error:-
- akka-sharding/src/main/resources/application.conf
ANSWER
Answered 2021-May-05 at 15:42You can use StartableAllocationStrategy
for your custom MyShardAllocationStrategy
. Also, you need to change the type of shardAllocationStrategy
variable to LeastShardAllocationStrategy
.
Full code for reference:
QUESTION
In order to manage a long-running task with Spring Cloud Stream 3.1.1 with Kafka binder, we need to use a Pollable Consumer to manage the consumption manually in a separate thread so Kafka does not trigger the rebalance. To do that, we have defined a new annotation to manage Pollable Consumer. The issue with this approach is because the work needs to be managed in a separate thread any exception that is thrown won't end up in errorChannel
and DLQ eventually.
ANSWER
Answered 2021-May-04 at 15:22Your observation is correct; the error handling is bound to the thread.
You could use a DeadLetterPublishingRecoverer
directly in your code to make publishing the DLQ a litter easier (instead of an output channel). That way, you'll get the enhanced headers with exception information etc.
https://docs.spring.io/spring-kafka/docs/current/reference/html/#dead-letters
EDIT
Here is an example; I am pausing the binding to prevent any new deliveries while the "job" is being run rather than requeuing the delivery, as you are doing.
QUESTION
What would happen to commitSync()
or it's variants when a rebalance has happened due to failure of not the current consumer but because of failure of some other consumer in the same group.
Say, consumer-1 (c1) was assigned partitions 1 & 2 (p1 and p2) out of say a total of 10 partitions. c1 has done a poll() and fetched 200 records from p1 (offset 400 to 500) and p2(offset 1300 to 1400), then processed them and is about to commit. But between c1's poll() and commit some other consumer has failed and a re-balance has happened. And C1 got assigned to partitions p4 and p6. Now will c1 be still able to commit the offsets to p1 and p2 (which he was assigned to earlier) or will it lead to an exception like CommitFailedException
?
ANSWER
Answered 2021-Apr-25 at 02:25From java doc
public void commitSync()
Commit offsets returned on the last poll() for all the subscribed list of topics and partitions.
This is a synchronous commits and will block until either the commit succeeds or an unrecoverable error is encountered (in which case it is thrown to the caller).
For commitSync, if a rebalance occurs before the commitSync is called, the commit will fail with an exception.
Hence in your case, the messages will be read again by the new consumer that gets assigned to partitions P1 and P2
One way to get more control over rebalances is to implement ConsumerRebalanceListener which has methods for
a. onPartitionsRevoked
b. onPartitionsAssigned
QUESTION
Kafka Producer written in Spring boot with defined properties as
When I start the producer it is always trying to connect localhost:9092 rather than the configured remote node IP.
NOTE: I had already defined advertised.listeners in the server.properties of the remote node.
Also please PFB the remote node kafka broker server properties
...ANSWER
Answered 2021-Apr-20 at 13:50Advertised hostname+port are deprecated properties, you only need advertised.listeners
For listeners
, it should be a socket bind address, such as 0.0.0.0:9094
for all connections on port 9094
When I start the producer it is always trying to connect localhost:9092
Probably because there's a space in your property file before the equals sign (in general, I'd suggest using a yaml config file instead of properties). You can also simply use spring.kafka.bootstrap-servers
QUESTION
I'm seeing some strange behavior. I wrote up some Flink processors using Flink 1.12, and tried to get them working on Amazon EMR. However Amazon EMR only supports Flink 1.11.2 at the moment. When I went to downgrade, I found, inexplicably, that watermarks were no longer propagating.
There is only one partition on the topic, and parallelism is set to 1. Is there something I'm missing here? I feel like I'm going a bit crazy.
Here's the output for Flink 1.12:
...ANSWER
Answered 2021-Apr-15 at 15:36Turns out that Flink 1.12 defaults the TimeCharacteristic to EventTime and deprecates the whole TimeCharacteristic flow. So to downgrade to Flink 1.11, you must add the following statement to configure the StreamExecutionEnvironment.
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