Re: jsonb search

From: Oleg Bartunov <obartunov(at)gmail(dot)com>
To: "Armand Pirvu (home)" <armand(dot)pirvu(at)gmail(dot)com>
Cc: Postgres General <pgsql-general(at)postgresql(dot)org>
Subject: Re: jsonb search
Date: 2016-06-28 15:09:41
Message-ID: CAF4Au4zQ=+Z=HSj2C=vgDSa-7SBNbNhq6BPT7GNznm=gmZDpoA@mail.gmail.com
Views: Raw Message | Whole Thread | Download mbox | Resend email
Thread:
Lists: pgsql-general

On Tue, Jun 28, 2016 at 5:15 PM, Armand Pirvu (home)
<armand(dot)pirvu(at)gmail(dot)com> wrote:
> Hi
>
> In my quest of JSONB querying and searching without having to actually cast
> into a text, I found JSQuery
>
> I do admit my JSONB knowledge shortcoming and I am not a developer but a
> DBA. As such some examples would be greatly appreciated since I tend to
> understand better
>
> I compiled and installed the extension
>
> 1 - Exact matching without knowing the hierarchy, just the key and element,
> I built a set like
>
> col1 | col2
> ------+--------------------------------------------------
> 1 | {"Home Email": {"EmailAddress": "1(at)yahoo(dot)com"}}
> 2 | {"Home Email": {"EmailAddress": "2(at)yahoo(dot)com"}}
> 3 | {"Home Email": {"EmailAddress": "3(at)yahoo(dot)com"}}
>
>
> JSQuqery is super
>
> SELECT * FROM test1 WHERE col2 @@ '*.EmailAddress = "1(at)yahoo(dot)com"';
>
> Now I can do a performance boost using
>
> CREATE INDEX idx1 ON test1 USING GIN (col2 jsonb_value_path_ops);
>
> I see this yield
>
> from
>
> testdb=# explain analyze^JSELECT * FROM test1 WHERE col2 @@ '*.EmailAddress
> = "10(at)yahoo(dot)com"';
> Seq Scan on test1 (cost=0.00..12423.00 rows=500 width=68) (actual
> time=0.016..160.777 rows=1 loops=1)
> Filter: (col2 @@ '*."EmailAddress" = "10(at)yahoo(dot)com"'::jsquery)
> Rows Removed by Filter: 499999
> Planning time: 0.042 ms
> Execution time: 160.799 ms
> (5 rows)
>
>
> to
>
> testdb-# SELECT * FROM test1 WHERE col2 @@ '*.EmailAddress =
> "10(at)yahoo(dot)com"';
> Bitmap Heap Scan on test1 (cost=31.88..1559.32 rows=500 width=68) (actual
> time=0.018..0.019 rows=1 loops=1)
> Recheck Cond: (col2 @@ '*."EmailAddress" = "10(at)yahoo(dot)com"'::jsquery)
> Heap Blocks: exact=1
> -> Bitmap Index Scan on idx1 (cost=0.00..31.75 rows=500 width=0) (actual
> time=0.011..0.011 rows=1 loops=1)
> Index Cond: (col2 @@ '*."EmailAddress" = "10(at)yahoo(dot)com"'::jsquery)
> Planning time: 0.039 ms
> Execution time: 0.038 ms
> (7 rows)
>
> A whooping 4000 times improvement
>
>
>
>
> But I also noticed a vodka index
>
>
> testdb=# CREATE INDEX idx2 ON
> testdb-# test1 USING vodka (col2);
> ERROR: access method "vodka" does not exist
>
> What am I missing ?
>
> 2 - Is there anyway I can accomplish a pattern and/or case insensitive
> search using JSQuery similar to
>
>
> select * from test2 where upper((col2 -> 'Home Email') ->> 'EmailAddress')
> ilike '%3%YAH%';
>
> select * from test2 where (col2 -> 'Home Email') ->> 'EmailAddress' like
> '%3%yah%';
>
>
> If so what indexing strategy can be used to have similar gains as above ?
>
>
> Many thanks for any help

Vodka is our experimental prototype of access method of next
generation and it doesn't exists in production-ready form. You can
check our presentation
http://www.sai.msu.su/~megera/postgres/talks/highload-2014-vodka.pdf
to understand jsquery limitation and why we stop its development.
Also, 2 years ago I wrote (in russian)
http://obartunov.livejournal.com/179422.html about jsonb query
language and our plans. Google translate might helps

https://translate.google.com/translate?sl=auto&tl=en&js=y&prev=_t&hl=en&ie=UTF-8&u=http%3A%2F%2Fobartunov.livejournal.com%2F179422.html&edit-text=&act=url

>
>
> Armand
>

In response to

  • jsonb search at 2016-06-28 14:15:12 from Armand Pirvu (home)

Responses

Browse pgsql-general by date

  From Date Subject
Next Message Riccardo Vianello 2016-06-28 15:25:27 Re: questions about how to implement a gist index
Previous Message Armand Pirvu (home) 2016-06-28 14:15:12 jsonb search