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] <[email protected]> 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?
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
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>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
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