I believe each query in a UNION needs to have the same result tuple format, 
which would work in this toy example, but in the general case each view would 
have a different schema. We could make the result tuples conform with each 
other by selecting NULL literals for every column except those in a view. It 
would get quite verbose though. Assuming f1,f2,f3 all have incompatible types, 
were you suggesting something like this?

Select f1, null, null from v1 where PK=?
Union all
Select null, f2, null from v2 where PK=?
Union all
Select null, null, f3 from v3 where PK=?

We might just run separate parallel queries against each view and merge the 
results client side. I would guess this should perform well since the block 
cache can be leveraged for queries after the first.

We could also use the HBase API to run a point row get. We'd have to 
reimplement decoding for Phoenix's column values, which is not ideal but quite 
doable.

Sent from my iPhone

> On Feb 21, 2018, at 9:09 PM, James Taylor <jamestay...@apache.org> wrote:
> 
> Have you tried a UNION ALL query on (f1, f2, f3) instead? It seems you’re on 
> a good track with multiple views over a single (or handful) of physical 
> table(s).
> 
>> On Wed, Feb 21, 2018 at 6:45 PM Miles Spielberg <mi...@box.com> wrote:
>> I've done some experimentation with views, with a schema resembling this:
>> 
>>>> create table t1(
>>>>     pk bigint not null primary key
>>>> );
>>>> 
>>>> create view v1(
>>>>     f1 varchar
>>>> ) AS SELECT * FROM t1;
>>>> create INDEX v1_f1 ON v1(f1);
>>>> 
>>>> create view v2(
>>>>     f2 varchar
>>>> ) AS SELECT * FROM t1;
>>>> create INDEX v2_f2 ON v2(f2);
>>>> 
>>>> create view v3(
>>>>     f3 varchar
>>>> ) AS SELECT * FROM t1;
>>>> create INDEX v3_f3 ON v3(f3);
>> 
>> Most of the time we'll be accessing data via the indexed views, but we'd 
>> also like to be able to query all columns (f1, f2, f3) for a given pk. At 
>> the HBase level, this should be doable as a point get on t1. The SQL-y way 
>> to express this would probably be with JOINs, but the EXPLAIN plan is not 
>> encouraging.
>> 
>>> > explain SELECT * from t1 left join v1 on v1.pk=t1.pk left join v2 on 
>>> > v2.pk=t1.pk left  join v3 on v3.pk=t1.pk where t1.pk=12345;
>>> | CLIENT 1-CHUNK 1 ROWS 281 BYTES PARALLEL 1-WAY ROUND ROBIN POINT LOOKUP 
>>> ON 1 KEY OVER T1
>>> |     PARALLEL LEFT-JOIN TABLE 0
>>> |         CLIENT 1-CHUNK PARALLEL 1-WAY ROUND ROBIN FULL SCAN OVER T1
>>> |     PARALLEL LEFT-JOIN TABLE 1
>>> |         CLIENT 1-CHUNK PARALLEL 1-WAY ROUND ROBIN FULL SCAN OVER T1
>>> |     PARALLEL LEFT-JOIN TABLE 2
>>> |         CLIENT 1-CHUNK PARALLEL 1-WAY ROUND ROBIN FULL SCAN OVER T1
>> 
>> This is pushing me back towards a design of having a single table, except 
>> for the issue of proliferating physical HBase tables for the indexes. Would 
>> you advise having a single table + a single view on it containing all 
>> columns, to coerce Phoenix to consolidate the indexes into a single physical 
>> table? Are there other alternatives we should be considering?
>> 
>> Miles Spielberg
>> Staff Software Engineer
>> 
>> O. 650.485.1102
>> 900 Jefferson Ave
>> Redwood City, CA 94063
>> 
>> 
>>> On Fri, Feb 16, 2018 at 3:27 PM, James Taylor <jamestay...@apache.org> 
>>> wrote:
>>> All indexes on views are stored in a single physical table, so you'll be ok 
>>> in that regard.
>>> 
>>> If you could file bugs for any local index issues, we'd really appreciate 
>>> it. We've been steadily improving local indexes (see PHOENIX-3941 for some 
>>> recent perf improvements - applicable for multi-tenant tables in particular 
>>> - these will appear in our 4.14 release). Handling non covered columns is 
>>> pretty isolated, so we should be able to fix bugs you find. Plus, there's a 
>>> workaround - you can cover your indexes until any issues are fixed.
>>> 
>>> Global, mutable indexes have had many improvements over the last several 
>>> releases too, but there's more operational overhead if/when a data table 
>>> gets out of sync with it's index table (plus some amount of configurable 
>>> eventual consistency or index disablement). With local indexes (and HBase 
>>> 1.3), this isn't possible.
>>> 
>>> Thanks,
>>> James
>>> 
>>>> On Fri, Feb 16, 2018 at 3:10 PM, Miles Spielberg <mi...@box.com> wrote:
>>>> Hi James,
>>>> 
>>>> Thanks for the tips around reducing the number of physical tables while 
>>>> still maintaining the appearance of multiple tables via view definitions. 
>>>> In our use case we don't anticipate having much if any immutable data, so 
>>>> unfortunately I don't expect to be able to take advantage of Phoenix's 
>>>> optimizations there.
>>>> 
>>>> We're expecting many indexes, mostly likely with several per logical 
>>>> per-tenant table. Given that global indexes are implemented as physical 
>>>> HBase tables, will the view-oriented optimizations help very much? We've 
>>>> done some experiments with local indexes on 4.13.2 and found bugs, 
>>>> particularly with the rewrite optimization to read non-covered columns 
>>>> from the main table, so we're not confident in using local indexes to 
>>>> optimize queries. (I've looked through the 5.0-alpha release notes and 
>>>> couldn't find anything related to this issue, so if desired I'll collect 
>>>> info for a separate bug report.)
>>>> 
>>>> Miles Spielberg
>>>> Staff Software Engineer
>>>> 
>>>> O. 650.485.1102
>>>> 900 Jefferson Ave
>>>> Redwood City, CA 94063
>>>> 
>>>> 
>>>>> On Fri, Feb 16, 2018 at 2:49 PM, James Taylor <jamestay...@apache.org> 
>>>>> wrote:
>>>>> Hi Miles,
>>>>> You'll be fine if you use views [1] and multi-tenancy [2] to limit the 
>>>>> number of physical HBase tables. Make sure you read about the limitations 
>>>>> of views too [3].
>>>>> 
>>>>> Here's the way I've seen this modeled successfully:
>>>>> - create one schema per use case. This will let you leverage some nice 
>>>>> features in HBase for quotas and throttling. If you'll have a single use 
>>>>> case, you don't have to worry about it. Read about namespaces here [4] 
>>>>> and make sure to enable them before you start creating tables.
>>>>> - define an immutable, multi-tenant base table that has TENANT_ID + 
>>>>> TYPE_ID primary key. There are optimizations Phoenix does over immutable 
>>>>> tables that you'll want to leverage (assuming you have use cases that fit 
>>>>> into this category). This Phoenix table will be backed by a physical 
>>>>> HBase table, but you won't execute Phoenix DML against it. Think of it as 
>>>>> a kind of "abstract" type. Instead, you'll create updatable views over it.
>>>>> - define a regular/mutable, multi-tenant base table that has TENANT_ID + 
>>>>> TYPE_ID primary key. Same deal as above, but this would be the base table 
>>>>> for any tables in which the rows change in place.
>>>>> - define global views per "logical" table (against either your immutable 
>>>>> base table or mutable base table depending on the functionality needed) 
>>>>> with each view having a WHERE TYPE_ID='your type identifier' clause which 
>>>>> adds specific columns to the primary key. This view will be updatable 
>>>>> (i.e. you can execute DML against it). The columns you add to your PK 
>>>>> will depend on your most common query patterns. 
>>>>> - optionally define indexes on these global views.
>>>>> - each tenant can further extend or just use the global views.
>>>>> 
>>>>> FYI, lots of good performance/tuning tips can be found here[5].
>>>>> 
>>>>> Thanks,
>>>>> James
>>>>> 
>>>>> 
>>>>> [1] https://phoenix.apache.org/views.html
>>>>> [2] https://phoenix.apache.org/multi-tenancy.html
>>>>> [3] https://phoenix.apache.org/views.html#Limitations
>>>>> [4] https://phoenix.apache.org/namspace_mapping.html
>>>>> [5] https://phoenix.apache.org/tuning_guide.html
>>>>> 
>>>>>> On Fri, Feb 16, 2018 at 11:47 AM, Miles Spielberg <mi...@box.com> wrote:
>>>>>> We're looking at employing Phoenix in a multi-tenant use case where 
>>>>>> tenants can create their own tables and indexes, running into totals of 
>>>>>> tens-of-thousands of each. Is this a supported scenario, or are we 
>>>>>> headed for trouble?

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