fective window, if the memory is not enough,
>>>> BlockManager will discard the blocks at LRU policy, so something unexpected
>>>> will be occurred.
>>>>
>>>> Thanks
>>>> Jerry
>>>>
>>>> -Original Message-
&
gt;> Thanks
>>> Jerry
>>>
>>> -Original Message-
>>> From: avilevi3 [mailto:avile...@gmail.com]
>>> Sent: Monday, February 23, 2015 12:57 AM
>>> To: user@spark.apache.org
>>> Subject: spark streaming window operations on a large
t enough,
>> BlockManager will discard the blocks at LRU policy, so something unexpected
>> will be occurred.
>>
>> Thanks
>> Jerry
>>
>> -Original Message-
>> From: avilevi3 [mailto:avile...@gmail.com]
>> Sent: Monday, February 23, 2
2015 12:57 AM
> To: user@spark.apache.org
> Subject: spark streaming window operations on a large window size
>
> Hi guys,
>
> does spark streaming supports window operations on a sliding window that
> is data is larger than the available memory?
> we would like to
> curre
thing unexpected
will be occurred.
Thanks
Jerry
-Original Message-
From: avilevi3 [mailto:avile...@gmail.com]
Sent: Monday, February 23, 2015 12:57 AM
To: user@spark.apache.org
Subject: spark streaming window operations on a large window size
Hi guys,
does spark streaming supports window opera
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