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From: Andrey Gura <agura@apache.org>
Date: Mon, 3 Apr 2017 20:40:22 +0300
Message-ID: <CAK1mX7H9CqsC1MKpb-o4Sj_yQTC8My9f9fhxQU14Bjd-c8UjOA@mail.gmail.com>
Subject: Re: Client near cache with Apache Flink
To: user@ignite.apache.org
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archived-at: Mon, 03 Apr 2017 17:40:26 -0000

What is the source of your data in case *without* Ignite cache? I'm
trying to understand your design without Ignite. What does your code
instead of nearCache.get(key)?

Also the code snippet that creates code still should fail because it
try to create near cache for original cache that doesn't exist yet.

On Mon, Apr 3, 2017 at 7:03 PM, nragon
<nuno.goncalves@wedotechnologies.com> wrote:
> Hi,
>
> The code is not all there but i think it's the important one.
> Cache access: this.nearCache.get(key); (Mentioned above)
> Cache name comes from table.getName() which, for instance, can be
> "LK_SUBS_UPP_INST".
> Data in ignite cache: String key and Object[] value. For now I only have one
> record for each cache (3 total)
> +======================================================================================================================+
> |    Key Class     | Key |    Value Class     |
> Value                                  |
> +======================================================================================================================+
> | java.lang.String | 1   | java.lang.Object[] | size=10, values=[1, 1, null,
> null, null, null, null, null, null, null] |
> +----------------------------------------------------------------------------------------------------------------------+
>
> The cache is loaded with datastreamer from oracle database. Again, loading
> is not the problem.
> I'm trying to understand if this (this.nearCache.get(key)) is the best way
> to access for fast lookups.
>
> Thanks
>
>
>
>
> --
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