On 11/14/2017 11:30 PM, hmidi slim wrote:
> I'm trying to use the function to_jsonb and create the name:
> to_jsonb ('{"key1":" ' || 'text1' || '","key2":" ' || 'text2' || '"}');
This query converts a string into a JSON object that consist of that
string. I guess what you intend to accomplish is r
Hi,
On 2017-11-06 09:17, hmidi slim wrote:
> Hi,
> I want to know if I can combine multiple text search configurations when
> I tried to use FTS.
> Is there any options like this:
> *to_tsvector(['english', 'french'], document)*
> *
> *
> Trying to create a new text configuration:
> *Create text
On 2017-11-07 08:27, hmidi slim wrote:
> Hi,
> Thank for your proposition but when to use this query :
> (to_tsvector('english', document) || to_tsvector('french', document)) @@
> (to_tsquery('english', query) || to_tsquery('french', query))
> I think that the performance decrease and not a good
On 2017-11-07 08:27, hmidi slim wrote:
> Hi,
> Thank for your proposition but when to use this query :
> (to_tsvector('english', document) || to_tsvector('french', document)) @@
> (to_tsquery('english', query) || to_tsquery('french', query))
> I think that the performance decrease and not a good
Hi,
On 2017-11-06 09:17, hmidi slim wrote:
> Hi,
> I want to know if I can combine multiple text search configurations when
> I tried to use FTS.
> Is there any options like this:
> *to_tsvector(['english', 'french'], document)*
> *
> *
> Trying to create a new text configuration:
> *Create text
Hi eveyone,
I've been trying to understand the text search parser's behaviour.
Looking at the source code [1] it seems as if there was a
sophisticated FSM mapping the input string to a list of tuples of
category (as defined in [1], lines 32-56, or [2]) and a substring from
the original one order b
