jsonb search
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@yahoo.com"}}
2 | {"Home Email": {"EmailAddress": "2@yahoo.com"}}
3 | {"Home Email": {"EmailAddress": "3@yahoo.com"}}
JSQuqery is super
SELECT * FROM test1 WHERE col2 @@ '*.EmailAddress = "1@yahoo.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@yahoo.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@yahoo.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@yahoo.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@yahoo.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@yahoo.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
Armand
On Tue, Jun 28, 2016 at 5:15 PM, Armand Pirvu (home)
<armand.pirvu@gmail.com> wrote:
Hi
In my quest of JSONB querying and searching without having to actually cast
into a text, I found JSQueryI 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 betterI compiled and installed the extension
1 - Exact matching without knowing the hierarchy, just the key and element,
I built a set likecol1 | col2
------+--------------------------------------------------
1 | {"Home Email": {"EmailAddress": "1@yahoo.com"}}
2 | {"Home Email": {"EmailAddress": "2@yahoo.com"}}
3 | {"Home Email": {"EmailAddress": "3@yahoo.com"}}JSQuqery is super
SELECT * FROM test1 WHERE col2 @@ '*.EmailAddress = "1@yahoo.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@yahoo.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@yahoo.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@yahoo.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@yahoo.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@yahoo.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 existWhat am I missing ?
2 - Is there anyway I can accomplish a pattern and/or case insensitive
search using JSQuery similar toselect * 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
Armand
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On Tue, Jun 28, 2016 at 5:09 PM, Oleg Bartunov <obartunov@gmail.com> wrote:
On Tue, Jun 28, 2016 at 5:15 PM, Armand Pirvu (home)
<armand.pirvu@gmail.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 betterI 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@yahoo.com"}}
2 | {"Home Email": {"EmailAddress": "2@yahoo.com"}}
3 | {"Home Email": {"EmailAddress": "3@yahoo.com"}}JSQuqery is super
SELECT * FROM test1 WHERE col2 @@ '*.EmailAddress = "1@yahoo.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@yahoo.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@yahoo.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@yahoo.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@yahoo.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@yahoo.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 existWhat am I missing ?
2 - Is there anyway I can accomplish a pattern and/or case insensitive
search using JSQuery similar toselect * 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 helpsArmand
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Could you share your future plans for it (or it's reincarnation), if any?
Even in the limited form, vodka is very impressive.
--
Arthur Silva