Hello!

Was topology stable? Could you share full logs for this case?

On Thu, Apr 13, 2017 at 8:36 PM, waterg <[email protected]>
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?
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> --
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>>>>>>>>> Nabble.com.
>>>>>>>>>
>>>>>>>>
>>>>>>>>
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