Hi,

I see in logs that node lives 10 seconds and you have configured only
system caches. Did you run you test on this setup?

On Sat, Apr 15, 2017 at 2:42 AM, waterg <[email protected]>
wrote:

> Hi, please see the log attached.
>
> On Fri, Apr 14, 2017 at 9:07 AM, Nikolai Tikhonov-2 [via Apache Ignite
> Users] <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=11987&i=0>> wrote:
>
>> Yes, Ignite.log.
>>
>> On Fri, Apr 14, 2017 at 6:54 PM, waterg <[hidden email]
>> <http:///user/SendEmail.jtp?type=node&node=11984&i=0>> wrote:
>>
>>> Hi Nikolai, No topology changes. We have 2 server nodes and a client
>>> node.
>>>
>>> What kind of log you refer to? Ignite log?
>>>
>>> Jessie
>>>
>>> On Fri, Apr 14, 2017 at 6:52 AM, Nikolai Tikhonov-2 [via Apache Ignite
>>> Users] <[hidden email]
>>> <http:///user/SendEmail.jtp?type=node&node=11983&i=0>> wrote:
>>>
>>>> Hello!
>>>>
>>>> Was topology stable? Could you share full logs for this case?
>>>>
>>>> On Thu, Apr 13, 2017 at 8:36 PM, waterg <[hidden email]
>>>> <http:///user/SendEmail.jtp?type=node&node=11979&i=0>> wrote:
>>>>
>>>>> Hello Nikolai,
>>>>>
>>>>> Thank you for your reply.
>>>>> I'm working a simplified maven project, to reproduce.
>>>>> Btw, with this configuration below, we did observed batch updatein
>>>>> persistent store.
>>>>>
>>>>> <property name="readThrough" value="true"/>
>>>>> <property name="writeThrough" value="true"/>
>>>>> <property name="writeBehindEnabled" value="true"/>
>>>>> <property name="writeBehindFlushSize" value="499"/>
>>>>> <property name="WriteBehindFlushFrequency" value="0"/>
>>>>> <property name="writeBehindFlushThreadCount" value="1"/>
>>>>> <property name="writeBehindBatchSize" value="500"/>
>>>>>
>>>>> However as soon as we add the cache.remove() in,
>>>>> we start to see the behavior changed to a lot of batch operations with
>>>>> a few records.
>>>>> Is there any reasons for this? Does cache.remove trigger flushing out
>>>>> to persistent layer?
>>>>> Thank you for your help!
>>>>>
>>>>> [1492104394638]-----------Datebase BATCH upsert:1 entries successful
>>>>> ----------------
>>>>> [1492104394772]-----------Datebase BATCH upsert:3 entries successful
>>>>> ----------------
>>>>> [1492104395042]-----------Datebase BATCH upsert:1 entries successful
>>>>> ----------------
>>>>> [1492104395170]-----------Datebase BATCH DELETE:1 entries successful
>>>>> ----------------
>>>>> [1492104395452]-----------Datebase BATCH upsert:1 entries successful
>>>>> ----------------
>>>>> [1492104395587]-----------Datebase BATCH upsert:1 entries successful
>>>>> ----------------
>>>>>
>>>>>
>>>>> On Tue, Apr 11, 2017 at 4:39 AM, Nikolai Tikhonov-2 [via Apache Ignite
>>>>> Users] <[hidden email]
>>>>> <http:///user/SendEmail.jtp?type=node&node=11960&i=0>> wrote:
>>>>>
>>>>>> > If I disable writeThrough, would a put operation on the cache
>>>>>> still succeed?
>>>>>> Yes, sure. If write Through enabled than entries will be propagated
>>>>>> to underlying store too.
>>>>>>
>>>>>> > If so, the get operation would return the same result as if the
>>>>>> writeThrough were enabled, correct?
>>>>>> You're right. But if you configure expire or eviction policy then a
>>>>>> get operations might be miss.
>>>>>>
>>>>>> Could you share simple maven project which can reproduce the
>>>>>> behaviour?
>>>>>>
>>>>>> On Mon, Apr 10, 2017 at 9:59 PM, waterg <[hidden email]
>>>>>> <http:///user/SendEmail.jtp?type=node&node=11878&i=0>> wrote:
>>>>>>
>>>>>>> Thank you for reply Nikolai. I have a more complex nested if-else
>>>>>>> logic than the condition 1 and condition 2 here. They are based on the
>>>>>>> results of SQLQueries from cache only. We don't use any conditions 
>>>>>>> based on
>>>>>>> querying persistent store. These two are examples of different put and
>>>>>>> other operations may happen based on what conditions are met.
>>>>>>>
>>>>>>> If I disable writeThrough, would a put operation on the cache still
>>>>>>> succeed? If so, the get operation would return the same result as if the
>>>>>>> writeThrough were enabled, correct?
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Mon, Apr 10, 2017 at 9:53 AM, Nikolai Tikhonov-2 [via Apache
>>>>>>> Ignite Users] <[hidden email]
>>>>>>> <http:///user/SendEmail.jtp?type=node&node=11862&i=0>> wrote:
>>>>>>>
>>>>>>>> What did you mean behind condition1 and condition2? Might be you
>>>>>>>> have case when you have more "miss" in access to entries? For example 
>>>>>>>> you
>>>>>>>> disable writeThrought and after it an get operations return null in the
>>>>>>>> most cases and you make more complex logic.
>>>>>>>>
>>>>>>>> On Fri, Apr 7, 2017 at 7:43 PM, waterg <[hidden email]
>>>>>>>> <http:///user/SendEmail.jtp?type=node&node=11858&i=0>> wrote:
>>>>>>>>
>>>>>>>>>
>>>>>>>>> The entry point looks like this
>>>>>>>>>
>>>>>>>>>    try(Ignite ignite = Ignition.start(getConfigFile())) {
>>>>>>>>>
>>>>>>>>>             IgniteTransactions txs = ignite.transactions();
>>>>>>>>>             IgniteCache<String, StagingRec> stagingCache = 
>>>>>>>>> ignite.getOrCreateCache("stagingCache");
>>>>>>>>>             IgniteCache<String, TargeRec> targetCache = 
>>>>>>>>> ignite.getOrCreateCache("targetCache");
>>>>>>>>>             //Sequence number for guid
>>>>>>>>>             IgniteAtomicSequence guidSeq = getGuidSeq(ignite, 
>>>>>>>>> targetCache);
>>>>>>>>>             applicationService service  = new 
>>>>>>>>> applicationService(targetCache, guidSeq);
>>>>>>>>>             //load staging
>>>>>>>>>             loadStaging(stagingCache);
>>>>>>>>>
>>>>>>>>>             //process staging data
>>>>>>>>>             SqlQuery<String,stagingRec> sqlStg = new 
>>>>>>>>> SqlQuery<>(StagingRec.class, getStagingSql());
>>>>>>>>>             try (QueryCursor<Cache.Entry<String, StagingRec>> cursor 
>>>>>>>>> = stagingCache.query(sqlStg)) {
>>>>>>>>>
>>>>>>>>>                 for (Cache.Entry<String, StagingRec> e : cursor) {
>>>>>>>>>                     Transaction tx = 
>>>>>>>>> txs.txStart(TransactionConcurrency.PESSIMISTIC, 
>>>>>>>>> TransactionIsolation.REPEATABLE_READ);
>>>>>>>>>                     service.processStaging(e);
>>>>>>>>> //                    stagingCache.remove(e.getKey()); //remove entry 
>>>>>>>>> from staging
>>>>>>>>>                     tx.commit();
>>>>>>>>>                 }
>>>>>>>>>             }
>>>>>>>>>         }catch (Exception e) {
>>>>>>>>>             e.printStackTrace();
>>>>>>>>>         }
>>>>>>>>>
>>>>>>>>> In service.processStaging, the logic looks like this:
>>>>>>>>>
>>>>>>>>> if (condition1) {
>>>>>>>>>       targetCache.put(key, value);
>>>>>>>>> } else if (condition2) {
>>>>>>>>>       targetCache.remove(key, value);
>>>>>>>>>       targetCache.put(key2, value2);
>>>>>>>>> }
>>>>>>>>>
>>>>>>>>> Do you see anything that might be causing the issue?
>>>>>>>>>
>>>>>>>>> On Fri, Apr 7, 2017 at 2:26 AM, Nikolai Tikhonov-2 [via Apache
>>>>>>>>> Ignite Users] <[hidden email]
>>>>>>>>> <http:///user/SendEmail.jtp?type=node&node=11827&i=0>> wrote:
>>>>>>>>>
>>>>>>>>>> Could you share code snippet which your benchmarked?
>>>>>>>>>>
>>>>>>>>>> On Fri, Apr 7, 2017 at 6:03 AM, waterg <[hidden email]
>>>>>>>>>> <http:///user/SendEmail.jtp?type=node&node=11799&i=0>> wrote:
>>>>>>>>>>
>>>>>>>>>>> I have two caches. The application takes the first cache as
>>>>>>>>>>> input and output value to the second cache.
>>>>>>>>>>>
>>>>>>>>>>> The first cache has readThrough only.
>>>>>>>>>>>
>>>>>>>>>>> Part of the configurations for second caches are below:
>>>>>>>>>>>
>>>>>>>>>>> <!-- Enable readThrough-->
>>>>>>>>>>> <property name="readThrough" value="true"/>
>>>>>>>>>>> <property name="writeThrough" value="true"/>
>>>>>>>>>>> <property name="writeBehindEnabled" value="true"/>
>>>>>>>>>>> <property name="writeBehindFlushSize" value="499"/>
>>>>>>>>>>> <property name="WriteBehindFlushFrequency" value="0"/>
>>>>>>>>>>> <property name="writeBehindFlushThreadCount" value="1"/>
>>>>>>>>>>> <property name="writeBehindBatchSize" value="500"/>
>>>>>>>>>>>
>>>>>>>>>>> There are also two indexes on this cache.
>>>>>>>>>>>
>>>>>>>>>>> The other case is to set writeThrough and writeBehindEnabled to
>>>>>>>>>>> false. I didn't change other settings.
>>>>>>>>>>> Is there anything else that might be relevant to this case?
>>>>>>>>>>>
>>>>>>>>>>> Best,
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> On Thu, Apr 6, 2017 at 10:33 AM, Nikolai Tikhonov-2 [via Apache
>>>>>>>>>>> Ignite Users] <[hidden email]
>>>>>>>>>>> <http:///user/SendEmail.jtp?type=node&node=11792&i=0>> wrote:
>>>>>>>>>>>
>>>>>>>>>>>> It's strange. Could you share your configuration for both case?
>>>>>>>>>>>> Also could you describe more your case?
>>>>>>>>>>>>
>>>>>>>>>>>> On Wed, Apr 5, 2017 at 8:45 PM, waterg <[hidden email]
>>>>>>>>>>>> <http:///user/SendEmail.jtp?type=node&node=11789&i=0>> wrote:
>>>>>>>>>>>>
>>>>>>>>>>>>> Thank you for the reply.
>>>>>>>>>>>>> Yes, I disabled both write through and write behind.
>>>>>>>>>>>>> We're trying evaluate the application's performance on ignite
>>>>>>>>>>>>> and by taking
>>>>>>>>>>>>> the persistent store out of equation, we thought the
>>>>>>>>>>>>> performance shall
>>>>>>>>>>>>> improve, but on the contrary we saw performance dropped over
>>>>>>>>>>>>> 30%. What would
>>>>>>>>>>>>> explain this kind of behavior?
>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>> --
>>>>>>>>>>>>> View this message in context: http://apache-ignite-users.705
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>>>>>>>>>>>>> Sent from the Apache Ignite Users mailing list archive at
>>>>>>>>>>>>> Nabble.com.
>>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
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>>>>>>>>>>
>>>>>>>>>>
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