Maryann,

Thanks for the fix.  Which versions are these available in?

Ralph

__________________________________________________
Ralph Perko
Pacific Northwest National Laboratory
(509) 375-2272
[email protected]

From: Maryann Xue <[email protected]<mailto:[email protected]>>
Reply-To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Date: Tuesday, April 7, 2015 at 10:43 AM
To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Subject: Re: indexed query question

Hi Ralph,

Now that we have implemented (on master) 
https://issues.apache.org/jira/browse/PHOENIX-1580 and 
https://issues.apache.org/jira/browse/PHOENIX-1807, I think you should be able 
to enable your multiple index use case, which actually looks great to us. And 
please let us know if there are other problems.

For the AND logic, you still need to use multiple subqueries connected by AND, 
like I mentioned before:

SELECT * FROM t WHERE pk IN (SELECT pk from t where q1 = ?) AND pk IN (SELECT 
pk from t where q2 = ?);

And for the OR logic, you can now use UNION ALL in your subquery connecting 
those "or" conditions. For example:

SELECT * FROM t WHERE pk IN (SELECT pk from t where q1 = ? UNION ALL SELECT pk 
from t where q2 = ?);





Thanks,
Maryann

On Mon, Jan 19, 2015 at 2:34 PM, Maryann Xue 
<[email protected]<mailto:[email protected]>> wrote:
Hi Ralph,

I think in your case this is indeed a nice approach. Given that INTERSECT is 
not yet supported in Phoenix, you can instead use AND to connect your 
conditions, which would work almost as efficiently as applying INTERSECT on 
your inner queries:

SELECT * FROM t WHERE pk IN (SELECT pk from t where q1 = ?) AND pk IN (SELECT 
pk from t where q2 = ?);

If your query is of OR logic, unfortunately there is currently no optimal way 
to do this until we have UNION 
(https://issues.apache.org/jira/browse/PHOENIX-671) implemented. That is 
because with OR subqueries, we do a left join instead of a semi join, and left 
joins do not use PK skip scan according to its semantics. A query similar to 
the above example with OR logic would only run slower than one simply doing a 
full-scan on the main data table (without using the index table at all).



Thanks,
Maryann


On Mon, Jan 19, 2015 at 1:25 PM, Perko, Ralph J 
<[email protected]<mailto:[email protected]>> wrote:
Hi

I have a question about the most efficient way to query many indexed columns.  
Here is the scenario:

Say I have a table with 100 fields

Table {f1,f2,f3,f4,…f100}

The first 10 fields are core fields and the client wishes to query them in any 
combination.

This is too many fields to create a secondary index for every combination so I 
create just 10, one for each core field.

Then when a query is submitted, I create a single query for each secondary 
index and return just the PK, thus taking advantage to the index:

Example – for each indexed field included in the query:

SELECT PK FROM Table WHERE <indexed field> = <some value>’;

Then once I have a list of all PK values from all the index queries I will 
either get the combination or intersection of all PKs, depending on the query 
logic (and/or)and then run a final select:

SELECT * FROM Table WHERE pk IN(…);

Does this sound like a reasonable approach?

Thanks,
Ralph



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