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
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 other hand, for querying, you can
probably
