"What scatter/gather? "

http://www.slideshare.net/doanduyhai/sasi-cassandra-on-the-full-text-search-ride-voxxed-daybelgrade-2016/23

"If you partition your data by user_id then you query only 1 shard to get
sorted by time visitors for a user"

Exact, but in this case, you're using a 2nd index only for sorting right ?
For SASI it's not even possible. Maybe it can work with Statrio Lucene impl

On Tue, Oct 4, 2016 at 2:15 PM, Dorian Hoxha <dorian.ho...@gmail.com> wrote:

> @DuyHai
>
> What scatter/gather? If you partition your data by user_id then you query
> only 1 shard to get sorted by time visitors for a user.
>
> On Tue, Oct 4, 2016 at 2:09 PM, DuyHai Doan <doanduy...@gmail.com> wrote:
>
>> MV is right now your best choice for this kind of sorting behavior.
>>
>> Secondary index (whatever the impl, SASI or Lucene) has a cost of
>> scatter-gather if your cluster scale out. With MV you're at least
>> guaranteed to hit a single node everytime
>>
>> On Tue, Oct 4, 2016 at 1:56 PM, Dorian Hoxha <dorian.ho...@gmail.com>
>> wrote:
>>
>>> Can you use the lucene index https://github.com/Stratio/cas
>>> sandra-lucene-index ?
>>>
>>> On Tue, Oct 4, 2016 at 1:27 PM, Benjamin Roth <benjamin.r...@jaumo.com>
>>> wrote:
>>>
>>>> Hi!
>>>>
>>>> I have a frequently used pattern which seems to be quite costly in CS.
>>>> The pattern is always the same: I have a unique key and a sorting by a
>>>> different field.
>>>>
>>>> To give an example, here a real life example from our model:
>>>> CREATE TABLE visits.visits_in (
>>>>     user_id int,
>>>>     user_id_visitor int,
>>>>     created timestamp,
>>>>     PRIMARY KEY (user_id, user_id_visitor)
>>>> ) WITH CLUSTERING ORDER BY (user_id_visitor ASC)
>>>>
>>>> CREATE MATERIALIZED VIEW visits.visits_in_sorted_mv AS
>>>>     SELECT user_id, created, user_id_visitor
>>>>     FROM visits.visits_in
>>>>     WHERE user_id IS NOT NULL AND created IS NOT NULL AND
>>>> user_id_visitor IS NOT NULL
>>>>     PRIMARY KEY (user_id, created, user_id_visitor)
>>>>     WITH CLUSTERING ORDER BY (created DESC, user_id_visitor DESC)
>>>>
>>>> This simply represents people, that visited my profile sorted by date
>>>> desc but only one entry per visitor.
>>>> Other examples with the same pattern could be a whats-app-like inbox
>>>> where the last message of each sender is shown by date desc. There are lots
>>>> of examples for that pattern.
>>>>
>>>> E.g. in redis I'd just use a sorted set, where the key could be like
>>>> "visits_${user_id}", set key would be user_id_visitor and score
>>>> the created timestamp.
>>>> In MySQL I'd create the table with PK on user_id + user_id_visitor and
>>>> create an index on user_id + created
>>>> In C* i use an MV.
>>>>
>>>> Is this the most efficient approach?
>>>> I also could have done this without an MV but then the situation in our
>>>> app would be far more complex.
>>>> I know that denormalization is a common pattern in C* and I don't
>>>> hesitate to use it but in this case, it is not as simple as it's not an
>>>> append-only case but updates have to be handled correctly.
>>>> If it is the first visit of a user, it's that simple, just 2 inserts in
>>>> base table + denormalized table. But on a 2nd or 3rd visit, the 1st or 2nd
>>>> visit has to be deleted from the denormalized table before. Otherwise the
>>>> visit would not be unique any more.
>>>> Handling this case without an MV requires a lot more effort, I guess
>>>> even more effort than just using an MV.
>>>> 1. You need kind of app-side locking to deal with race conditions
>>>> 2. Read before write is required to determine if an old record has to
>>>> be deleted
>>>> 3. At least CL_QUORUM is required to make sure that read before write
>>>> is always consistent
>>>> 4. Old record has to be deleted on update
>>>>
>>>> I guess, using an MV here is more efficient as there is less roundtrip
>>>> between C* and the app to do all that and the MV does not require strong
>>>> consistency as MV updates are always local and are eventual consistent when
>>>> the base table is. So there is also no need for distributed locks.
>>>>
>>>> I ask all this as we now use CS 3.x and have been advised that 3.x is
>>>> still not considered really production ready.
>>>>
>>>> I guess in a perfect world, this wouldn't even require an MV if SASI
>>>> indexes could be created over more than 1 column. E.g. in MySQL this case
>>>> is nothing else than a BTree. AFAIK SASI indices are also BTrees, filtering
>>>> by Partition Key (which should to be done anyway) and sorting by a field
>>>> would perfectly do the trick. But from the docs, this is not possible right
>>>> now.
>>>>
>>>> Does anyone see a better solution or are all my assumptions correct?
>>>>
>>>> --
>>>> Benjamin Roth
>>>> Prokurist
>>>>
>>>> Jaumo GmbH · www.jaumo.com
>>>> Wehrstraße 46 · 73035 Göppingen · Germany
>>>> Phone +49 7161 304880-6 · Fax +49 7161 304880-1
>>>> AG Ulm · HRB 731058 · Managing Director: Jens Kammerer
>>>>
>>>
>>>
>>
>

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