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https://issues.apache.org/jira/browse/IGNITE-8117?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rick Lin updated IGNITE-8117:
-----------------------------
Priority: Major (was: Minor)
> Slow Ignite Cache with multi-nodes
> ----------------------------------
>
> Key: IGNITE-8117
> URL: https://issues.apache.org/jira/browse/IGNITE-8117
> Project: Ignite
> Issue Type: Improvement
> Components: cache, jdbc
> Environment: OS: Ubuntn 14.04.3 LTS
> JAVA: JDK 1.7
> Ignite: 2.4
>
>
>
> Reporter: Rick Lin
> Priority: Major
> Fix For: 2.4
>
> Attachments: WriteKV.java
>
>
> Dear sir,
> I am running Ignite in my project about with three nodes:
> {color:#14892c}Three nodes: "ubuntu7","ubuntu8","ubuntu9"{color}
> {color:#14892c}cacheConf.setIndexedTypes(String.class, String.class){color}
> {color:#14892c}cacheConf.setCacheMode(CacheMode.PARTITIONED);{color}
> {color:#14892c}cacheConf.setAtomicityMode(CacheAtomicityMode.ATOMIC);{color}
> When using above setting for
> * Put,
> * putAll,
> * SqlFieldsQuery,
> * IgniteJdbcThinDriver,
> * IgniteDataStreamer add
> * IgniteDataStreamer addAll
> , there are a situation about data latency, and the experiment results are in
> the following.
> One node(ubuntu7)
> |*milliseconds*|*1,000*|*10,000*|*100,000*|*500,000*|*1,000,000*|
> |*Put*|401|1,108|3,874|12,636|23,561|
> |*putAll*|146|428|2,092|8,940|17,854|
> |*SqlFieldsQuery*|282|943|4,522|20,821|41,223|
> |*IgniteJdbcThinDriver*|491|1,581|8,938|41,429|80,599|
> |*IgniteDataStreamer*
> *Add*|152|439|2,161|7,374|12,296|
> |*IgniteDataStreamer*
> *addAll*|101|234|2,028|5,037|9,181|
>
> Two nodes(ubuntu7 write and ubuntu8)
> |*milliseconds*|*1,000*|*10,000*|*100,000*|*500,000*|*1,000,000*|
> |*Put*|1,185|5,481|26,142|-|-|
> |*putAll*|107|292|1,785|-|-|
> |*SqlFieldsQuery*|786|3,195|30,528|-|-|
> |*IgniteJdbcThinDriver*|859|3,569|34,080|-|-|
> |*IgniteDataStreamer*
> *add*|169|410|1389|-|-|
> |*IgniteDataStreamer*
> *addAll*|99|206|988|-|-|
>
> Three nodes(ubuntu7 write, ubuntu8, and ubuntu9)
> |*milliseconds*|*1,000*|*10,000*|*100,000*|*500,000*|*1,000,000*|
> |*Put*|1,664|7,794|41,116|-|-|
> |*putAll*|101|294|1,911|-|-|
> |*SqlFieldsQuery*|1,086|5,718|41,997|-|-|
> |*IgniteJdbcThinDriver*|1,247|4,899|48,566|-|-|
> |*IgniteDataStreamer*
> *add*|168|385|1,364|-|-|
> |*IgniteDataStreamer*
> *addAll*|86|249|905|-|-|
> From above results, these tables show that the three ways: put,
> SqlFieldsQuery, IgniteJdbcThinDriver have gradually bad performance on data
> latency with increasing ignite server nodes, and the other ways: putAll,
> IgniteDataStreameradd, and IgniteDataStreameraddAll have better performances.
> I don't know if the testing via my java codes are suitable and correct to
> show these results or not.
> Here, i provide my codes to reproduce my experimental situation.
> {color:#14892c}*Attached is my codes for your reference.*{color}
> if any further information is needed, I am glad to be informed and will
> provide to you as soon as possible.
> If you have any idea about this issue, I am looking forward to hearing from
> you.
> Yours sincerely,
> Rick
>
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