rebalance | Rebalance & backtest your cryptocurrency portfolio | Cryptography library

 by   carlfarterson JavaScript Version: Current License: MIT

kandi X-RAY | rebalance Summary

kandi X-RAY | rebalance Summary

rebalance is a JavaScript library typically used in Security, Cryptography, Bitcoin, React applications. rebalance has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

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              rebalance has a low active ecosystem.
              It has 10 star(s) with 3 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 5 have been closed. On average issues are closed in 34 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of rebalance is current.

            kandi-Quality Quality

              rebalance has no bugs reported.

            kandi-Security Security

              rebalance has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              rebalance is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              rebalance releases are not available. You will need to build from source code and install.

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            rebalance Key Features

            No Key Features are available at this moment for rebalance.

            rebalance Examples and Code Snippets

            No Code Snippets are available at this moment for rebalance.

            Community Discussions

            QUESTION

            Spring Kafka Manual Immediate Acknowledgement along with SeekToCurrentErrorHandler
            Asked 2021-Jun-14 at 17:04

            ANSWER

            Answered 2021-Jun-14 at 17:04

            Yes, 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

            Source https://stackoverflow.com/questions/67973150

            QUESTION

            ActiveMQ Artemis cluster does not redistribute messages after one instance crash
            Asked 2021-Jun-02 at 01:56

            I have a cluster of Artemis in Kubernetes with 3 group of master/slave:

            ...

            ANSWER

            Answered 2021-Jun-02 at 01:56

            I'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.:

            Source https://stackoverflow.com/questions/67644488

            QUESTION

            Adding data (pushing pair to list of pairs) to nodes in AVL tree is not working as I expect it to
            Asked 2021-May-19 at 13:12

            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 13:12

            It 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:

            Source https://stackoverflow.com/questions/67602936

            QUESTION

            How does a kafka batch consumer handles long running/processing records?
            Asked 2021-May-13 at 21:27

            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 21:27

            It behaves as expected for me:

            Source https://stackoverflow.com/questions/67520619

            QUESTION

            Leave async timer
            Asked 2021-May-06 at 22:02

            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 22:02

            In order to implement a timeout, you can use Promise.race like this:

            Source https://stackoverflow.com/questions/67426305

            QUESTION

            NullPointerException in ShardCoordinator$LeastShardAllocationStrategy when updated to Akka 2.6.10 from Akka-2.6.9
            Asked 2021-May-05 at 15:42

            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:-

            1. akka-sharding/src/main/resources/application.conf
            ...

            ANSWER

            Answered 2021-May-05 at 15:42

            You can use StartableAllocationStrategy for your custom MyShardAllocationStrategy. Also, you need to change the type of shardAllocationStrategy variable to LeastShardAllocationStrategy.

            Full code for reference:

            Source https://stackoverflow.com/questions/67382925

            QUESTION

            Spring Cloud Stream pollable consumer dlq and errorChannel don't work if a different thread is being used
            Asked 2021-May-04 at 23:42

            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 15:22

            Your 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.

            Source https://stackoverflow.com/questions/67296258

            QUESTION

            Kafka Consumer behaviour when trying to commit after a rebalance has happened due to some other consumer failure?
            Asked 2021-Apr-25 at 03:03

            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 02:25

            From 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

            Source https://stackoverflow.com/questions/67247157

            QUESTION

            Unable to connect Kafka producer written in Java to remote cluster node
            Asked 2021-Apr-20 at 13:50

            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 13:50

            Advertised 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

            Source https://stackoverflow.com/questions/67162810

            QUESTION

            Flink 1.11 FlinkKafkaConsumer fails to propagate watermarks while Flink 1.12 succeeds
            Asked 2021-Apr-16 at 00:00

            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 15:36

            Turns 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.

            Source https://stackoverflow.com/questions/67094114

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install rebalance

            You can download it from GitHub.

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