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Demo for the In Memory Computing conference. Many thanks to Dinesh Pillai for his work
This feature must adopt Cucumber integration testing with well defined feature files defining each step and must be tested as part of the maven integration testing before release is packaged
Install NussNacker to monitor to stack and make informed decisions
Create
Make them implement the HZ Portable Interface and include a method to convert the object to JSON
Create microservices for the Trade and PositionAccount caches to stream updates in JSON format to the UI
Create one of more Jet components that look up the 'key' values for the for the following dimension objects in the trade message and substitute the objects for the keys to create a Domain Trade object ready to be inserted into the cache.
Create a Jet component to write the Price objects into the trade cache
Is there any client of Hazelcast Jet for the Node Js.
Create a MapListener (EntryAdded) directly on the backing map on the Trade Cache to fire off the position average pricing calc
Create the following Kafka topics
Use a docker hub image to create the Kafka cluster DockerHub
Hi,
I have installed and started services for the below-mentioned component.
a. Hazelcast
b. Zookeeper
c. Kafka
After that, I have installed Hadoop but not able to start the service.
Can someone help me to resolve the following error?
This is an error which I got after rebuild-
**2018-04-24 18:26:39 DEBUG ClientCnxn:818 - Reading reply sessionid:0x1000006a9e60001, packet:: clientPath:null serverPath:null finished:false header:: 90,4 replyHeader:: 90,51,-101 request:: '/hbase/meta-region-server,F response::
2018-04-24 18:26:39 DEBUG ZKUtil:628 - hconnection-0x3eee3e2b-0x1000006a9e60001, quorum=localhost:2181, baseZNode=/hbase Unable to get data of znode /hbase/meta-region-server because node does not exist (not an error)**
Create a Jet component(s) that will aggregate trade sizes grouped by position account and instrument and continuously update the cache. For each update to the position update the PositionAccount in the cache
Create a Java Class to create the HBase schema in line with the Domain model. 1 table per class
Create a microservice for each cache so that the UI can query the caches. Return the results as JSON.
For each Domain object create a MapStore class to allow Hz to write to and read from the database
Create a Jet component to read price messages (JSON), from the Kafka price topic
Create the database and run the schema generation
Create configuration XML files for the Hazelcast cluster and clients.
The client config should create near caches.
Create a DockerFile and docker-compose.yml to create the Hz cluster
Create a Jet component to write the Trade objects with static data look ups done and keys substituted into the trade cache
Create a MapListener (EntryAdded) directly on the backing map on the Price Cache to fire off the pnl calc
Write the DockerFile and docker-compose.yml to create the Jet cluster
Dear ,
I want to run the application in my local system can you guide me in this case.Please tell me the
prerequisites application for it and what are step to follow .And please specify windows or linux system is required .
Create a Jet component to read the trade messages (JSON) from kafka trade topic
Create a Cache Factory to support the Portable Objects
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