Correct.

Which is not to say never do it. But the bigger and more complicated your 
application, the more likely you’re going to have problems with embedding.

Regards,
Stephen

> On 13 Jun 2019, at 16:45, Loredana Radulescu Ivanoff <[email protected]> 
> wrote:
> 
> Would it be correct to extrapolate this statement and say that Ignite should 
> be started as a standalone application as opposed to being embedded inside an 
> application server that has its own lifecycle and additional responsibilities?
> 
> 
> 
> On Thu, Jun 13, 2019 at 7:48 AM Stephen Darlington 
> <[email protected] <mailto:[email protected]>> 
> wrote:
> The documentation recommends against using embedded mode for what’s likely to 
> be a related reason.
> 
> Embedded mode implies starting Ignite server nodes within Spark executors 
> which can cause unexpected rebalancing or even data loss. Therefore this mode 
> is currently deprecated and will be eventually discontinued. Consider 
> starting a separate Ignite cluster and using standalone mode to avoid data 
> consistency and performance issues.
> 
> https://apacheignite-fs.readme.io/docs/installation-deployment#embedded-deployment
>  
> <https://apacheignite-fs.readme.io/docs/installation-deployment#embedded-deployment>
> 
> Regards,
> Stephen
> 
>> On 13 Jun 2019, at 12:57, vinod.jv <[email protected] 
>> <mailto:[email protected]>> wrote:
>> 
>> Hi,
>> 
>> We are using Apache Ignite in embedded mode to store data in key value pairs
>> and query the data.
>> Sometimes, the spark jobs run for really long time than expected and in
>> those scenarios we have noticed that Ignite nodes are not responding in the
>> heart beat interval time and hence the re-balancing of data is happening and
>> followed by query cancellation.
>> 
>> When the job is running in the expected time we don't see any exceptions in
>> the log.
>> 
>> Here are the exceptions we get. 
>> 
>> org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10
>> seconds]. This timeout is controlled by spark.executor.heartbeatInterval
>> 
>> Caused by: java.util.concurrent.TimeoutException: Futures timed out after
>> [10 seconds]
>> 
>> 19/06/13 02:14:08 ERROR twostep.GridMapQueryExecutor: Failed to execute
>> local query.
>> class org.apache.ignite.cache.query.QueryCancelledException: The query was
>> cancelled while executing.
>>      at
>> org.apache.ignite.internal.processors.query.h2.twostep.GridMapQueryExecutor.onQueryRequest0(GridMapQueryExecutor.java:558)
>>      at
>> org.apache.ignite.internal.processors.query.h2.twostep.GridMapQueryExecutor.onQueryRequest(GridMapQueryExecutor.java:449)
>>      at
>> org.apache.ignite.internal.processors.query.h2.twostep.GridMapQueryExecutor.onMessage(GridMapQueryExecutor.java:203)
>>      at
>> org.apache.ignite.internal.processors.query.h2.twostep.GridMapQueryExecutor$2.onMessage(GridMapQueryExecutor.java:178)
>>      at
>> org.apache.ignite.internal.managers.communication.GridIoManager$ArrayListener.onMessage(GridIoManager.java:1915)
>>      at
>> org.apache.ignite.internal.managers.communication.GridIoManager.invokeListener(GridIoManager.java:1082)
>>      at
>> org.apache.ignite.internal.managers.communication.GridIoManager.processRegularMessage0(GridIoManager.java:710)
>>      at
>> org.apache.ignite.internal.managers.communication.GridIoManager.access$1700(GridIoManager.java:102)
>>      at
>> org.apache.ignite.internal.managers.communication.GridIoManager$5.run(GridIoManager.java:673)
>>      at
>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>>      at
>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>>      at java.lang.Thread.run(Thread.java:745)
>> 19/06/13 02:14:08 ERROR twostep.GridMapQueryExecutor: Failed to execute
>> local query.
>> class org.apache.ignite.cache.query.QueryCancelledException: The query was
>> cancelled while executing.
>>      at
>> org.apache.ignite.internal.processors.query.h2.twostep.GridMapQueryExecutor.onQueryRequest0(GridMapQueryExecutor.java:595)
>>      at
>> org.apache.ignite.internal.processors.query.h2.twostep.GridMapQueryExecutor.onQueryRequest(GridMapQueryExecutor.java:449)
>>      at
>> org.apache.ignite.internal.processors.query.h2.twostep.GridMapQueryExecutor.onMessage(GridMapQueryExecutor.java:203)
>>      at
>> org.apache.ignite.internal.processors.query.h2.twostep.GridMapQueryExecutor$2.onMessage(GridMapQueryExecutor.java:178)
>>      at
>> org.apache.ignite.internal.managers.communication.GridIoManager$ArrayListener.onMessage(GridIoManager.java:1915)
>>      at
>> org.apache.ignite.internal.managers.communication.GridIoManager.invokeListener(GridIoManager.java:1082)
>>      at
>> org.apache.ignite.internal.managers.communication.GridIoManager.processRegularMessage0(GridIoManager.java:710)
>>      at
>> org.apache.ignite.internal.managers.communication.GridIoManager.access$1700(GridIoManager.java:102)
>>      at
>> org.apache.ignite.internal.managers.communication.GridIoManager$5.run(GridIoManager.java:673)
>>      at
>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>>      at
>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>>      at java.lang.Thread.run(Thread.java:745)
>> 
>> 
>> 
>> --
>> Sent from: http://apache-ignite-users.70518.x6.nabble.com/ 
>> <http://apache-ignite-users.70518.x6.nabble.com/>
> 
> 


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