Hi all, I have a following scenario to cater to. I have a typical client-server application. I have 5 different physical boxes and every box hosts 2 JVMs of "server" M1-> JVM1,JVM2 M2-> JVM3,JVM4 M3-> JVM5,JVM6 M4-> JVM7,JVM8 M5-> JVM9,JVM10
Whenever a request comes on any machine (via loadbalancer) say M1 and say JVM1 caters to the request, it generates a time series data and sends it back to the client. The computation is quite time consuming. In order to serve fast to the clients, I have decided to use Ignite Data Grid and once the response is generated, I will store the response in a data grid. For the same (keeping in mind RAM available on the boxes), I have decided to introduce Ignite Data Grids on M1,M2 and M3 running with an Xmx of 2 GB but with Persistent Store enabled. Hence the configuration will look like M1-> JVM1,JVM2,DataGrid1 M2-> JVM3,JVM4,DataGrid2 M3-> JVM5,JVM6,DataGrid3 M4-> JVM7,JVM8 M5-> JVM9,JVM10 Every client is going to create its own cache (based on the id of the dataset in question) on these data grids, irrespective of whether the request comes from M1 (having a data grid) or M5 (Not having a data grid). If the request comes again for the same dataset id in question, it will look for the cache and get the data already present in ignite and will skip lengthy computation of hours which it had to do earlier. Following is the protocol i have to follow 1) Bulk insert data into cache by JVM1 (data around 5GB) 2) Bulk retrieve data by JVM5 from cache (data around 5GB) If inserts throw an exception for any reason on this earth, drop the cache for that id and try one more time. If any exception happens, fallback and do not try again. If retrieve throw an exception, recompute. QUESTIONS: QUESTION 1 Based on the documentation https://apacheignite.readme.io/v2.1/docs/transactions#atomicity-mode, I will go for CacheAtomicityMode as ATOMIC. But If there is a PartialUpdateException, then what is desirable putAll or just iterate over the keys which have failed and put them in the cache and how do we understand the actual cause of Partial Failure because it is likely to happen again if I re-do a putAll even with a list of failed keys ? QUESTION2 I have read with the Metrics interfaces Ignite has provided but If I have to check what's the size of data of a particular cache in persistent store and what percentage of that data is also available on RAM , how can I do that ? QUESTION 3 Keeping in mind the above scenario wherein bulk inserts and retrievals are required, is it better to have a replicated mode rather than partitioned modes with back ups enabled since the data loss is not acceptable, it should be binary 0 or 1. So if M1 AND M2 go down or DataGrid1 AND DataGrid2 processes crash during or before the retrieval, at least we can depend upon M3 and DataGrid3. QUESTION4 Keeping in mind, if I go for REPLICATION, which property do we set to ensure that data was replicated properly while bulk inserts and JVM1 WAITS for replication to be successful and then do any move ahead. QUESTION5 The api available with Ignite class is getOrCreateCache, how do we just check whether a cache with name "X" has been created or not ? Thank you for the patience to read through. -- View this message in context: http://apache-ignite-users.70518.x6.nabble.com/CacheAtomicityMode-and-CacheMode-tp16313.html Sent from the Apache Ignite Users mailing list archive at Nabble.com.
