ate previously computed spark results.
>
> Regards,
> Yohann
>
>
> --
> *De :* Rick Moritz
> *Envoyé :* jeudi 16 mars 2017 10:37
> *À :* user
> *Objet :* Re: RE: Fast write datastore...
>
> If you have enough RAM/SSDs available, maybe ti
/aggregate previously computed spark results.
>
> Regards,
> Yohann
>
> De : Rick Moritz
> Envoyé : jeudi 16 mars 2017 10:37
> À : user
> Objet : Re: RE: Fast write datastore...
>
> If you have enough RAM/SSDs available, maybe tiered HDFS storage and Parquet
> might al
Objet : Re: RE: Fast write datastore...
If you have enough RAM/SSDs available, maybe tiered HDFS storage and Parquet
might also be an option. Of course, management-wise it has much more overhead
than using ES, since you need to manually define partitions and buckets, which
is suboptimal. On the
;
>>
>> *From:* Vova Shelgunov [mailto:vvs...@gmail.com]
>> *Sent:* Wednesday, March 15, 2017 11:51 PM
>> *To:* Muthu Jayakumar
>> *Cc:* vincent gromakowski ; Richard
>> Siebeling ; user ; Shiva
>> Ramagopal
>> *Subject:* Re: Fast write datastore...
>&
wrote:
>
> Hi,
>
>
>
> Will MongoDB not fit this solution?
>
>
>
>
>
>
>
> *From:* Vova Shelgunov [mailto:vvs...@gmail.com]
> *Sent:* Wednesday, March 15, 2017 11:51 PM
> *To:* Muthu Jayakumar
> *Cc:* vincent gromakowski ; Richard
> Siebeling ; user ; Shiva
&g
agopal
Subject: Re: Fast write datastore...
Hi Muthu,.
I did not catch from your message, what performance do you expect from subsequent queries?
Regards,
Uladzimir
On Mar 15, 2017 9:03 PM, "Muthu Jayakumar" <bablo...@gmail.com> wrote:
H
Hi,
Will MongoDB not fit this solution?
From: Vova Shelgunov [mailto:vvs...@gmail.com]
Sent: Wednesday, March 15, 2017 11:51 PM
To: Muthu Jayakumar
Cc: vincent gromakowski ; Richard Siebeling
; user ; Shiva Ramagopal
Subject: Re: Fast write datastore...
Hi Muthu,.
I did not catch from
7:04 AM, "muthu" a écrit :
>>>>>>
>>>>>> Hello there,
>>>>>>
>>>>>> I have one or more parquet files to read and perform some aggregate
>>>>>> queries
>>>>>> using S
>>>>> allows me to write the results for subsequent (simpler queries).
>>>>> I did attempt to use ElasticSearch to write the query results using
>>>>> ElasticSearch Hadoop connector. But I am running into con
sing ElasticSearch and for more complex aggregate,
> Spark Dataframe can come back to the rescue :).
> Please advice on other possible data-stores I could use?
>
> Thanks,
> Muthu
>
>
>
> --
> View this message in context: http://apache-spark-user-list.
> 1001560.n3.n
>>>>> using Spark Dataframe. I would like to find a reasonable fast
>>>>> datastore that
>>>>> allows me to write the results for subsequent (simpler queries).
>>>>> I did attempt to use ElasticSearch to write the query results using
>&
mpt to use ElasticSearch to write the query results using
>>>> ElasticSearch Hadoop connector. But I am running into connector write
>>>> issues
>>>> if the number of Spark executors are too many for ElasticSearch to
>>>> handle.
>>>> But in the
a great fit as ElasticSearch has
>>> smartz
>>> in place to discover the schema. Also in the query sense, I can perform
>>> simple filters and sort using ElasticSearch and for more complex
>>> aggregate,
>>> Spark Datafr
the schema. Also in the query sense, I can perform
>> simple filters and sort using ElasticSearch and for more complex
>> aggregate,
>> Spark Dataframe can come back to the rescue :).
>> Please advice on other possible data-stores I could use?
>>
>> Thanks,
>>
uthu
>
>
>
> --
> View this message in context: http://apache-spark-user-list.
> 1001560.n3.nabble.com/Fast-write-datastore-tp28497.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
> -
> To unsubscribe e-mail: user-unsubscr...@spark.apache.org
>
>
>
sible data-stores I could use?
Thanks,
Muthu
--
View this message in context: http://apache-spark-user-list.
1001560.n3.nabble.com/Fast-write-datastore-tp28497.html
Sent from the Apache Spark User List mailing list archive at
perform
simple filters and sort using ElasticSearch and for more complex aggregate,
Spark Dataframe can come back to the rescue :).
Please advice on other possible data-stores I could use?
Thanks,
Muthu
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Fast-write
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