tsvector

问题 I have a bunch of text rows in a PostgreSQL table and I am trying to find common strings. For example, let's say I have a basic table like: CREATE TABLE a (id serial, value text); INSERT INTO a (value) VALUES ('I go to the movie theater'), ('New movie theater releases'), ('Coming out this week at your local movie theater'), ('New exposition about learning disabilities at the children museum'), ('The genius found in learning disabilities') ; I am trying to locate popular strings like movie

问题 I have a bunch of text rows in a PostgreSQL table and I am trying to find common strings. For example, let's say I have a basic table like: CREATE TABLE a (id serial, value text); INSERT INTO a (value) VALUES ('I go to the movie theater'), ('New movie theater releases'), ('Coming out this week at your local movie theater'), ('New exposition about learning disabilities at the children museum'), ('The genius found in learning disabilities') ; I am trying to locate popular strings like movie

问题 I'm trying to create a fuzzy search using Postgres and have been using django-watson as a base search engine to work off of. I have a field called search_tsv that its a tsvector containing all the field values of the model that I want to search on. I was wanting to use the Levenshtein function, which does exactly what I want on a text field. However, I dont really know how to run it on each individual element of the tsvector. Is there a way to do this? 回答1: I would consider using the

问题 I'm looking for a way to emulate something like SELECT * FROM table WHERE attr LIKE '%text%' using a tsvector in PostgreSQL. I've created a tsvector attribute without using a dictionary. Now, a query like ... SELECT title FROM table WHERE title_tsv @@ plainto_tsquery('ph:*'); ... would return all titles like 'Physics', 'PHP', etc. But how can I create a query that returns all records where the title start with 'Zend Fram' (which should return for instance 'Zend Framework')? Of course, I could

问题 overflowers, I have a JSON array items like this (PostgreSQL 9.4): [{name: "foo"}, {name: "bar"}, {name: "baz"}] What I want is to concatenate all item's name into a tsvector -typed column so that I can create index on that column. And if I run: SELECT to_tsvector(array_to_string(array(SELECT jsonb_array_elements(items)->>'name' FROM store), ',')) I can get an expected result: 'foo': 1 'bar': 2 'baz': 3 But I got stuck at something like this: CREATE OR REPLACE FUNCTION update_tsv() RETURNS

问题 Here's my schema Column | Type --------------------------+---------------------------- id | integer title | character varying(255) summary | character varying(255) readable_content | text created_at | timestamp without time zone updated_at | timestamp without time zone textsearchable_index_col | tsvector Indexes: "site_articles_pkey" PRIMARY KEY, btree (id) "index_site_articles_on_textsearchable_index_col" gin (textsearchable_index_col) Triggers: site_articles_before_insert_update_row_tr

问题 so my problem is that i added a column of type tsvector in a table without adding it in the entity class and now when i want to run doctrine:schema:update --force it gives me this error Unknown database type tsvector requested, Doctrine\DBAL\Platforms\PostgreSqlPlatform may not support it. what should i do now, do i have to create a tsvector type in doctrine or delete the tsvector column update the schema with the commande line and then add the tsvector column back ? 回答1: you should always

问题 I have some SQL statements that cause this to happen: NOTICE: word is too long to be indexed DETAIL: Words longer than 2047 characters are ignored. What's the easiest way to not have these notices be generated in the first place? (It's a long story why I'd want to do it that way.) An example of such a statement is this: update rev set html = regexp_replace(html, '***=<a href="' || old.url || '">', '<a href="' || new.url || '">', 'gi') where id in ( select id from rev where to_tsvector('tags

问题 I've been looking for a way to use tsvector in sqlalchemy (simply like other ones such as INTEGER, etc), but so far it's not clear to me how to do this. I've read that tsvector can be implemented as a type using UserDefinedType. After some attempts I'm getting nowhere, someone has a simple way to do this? thanks 回答1: If you want SQLAlchemy to be able to create schemas with the tsvector type and just retrieve the serialized value in queries, this is what you need: from sqlalchemy import types

问题 I'm considering adding a tsvector column to an existing table that will hold possible search terms for multiple columns in that same table (e.g. the tsvector column will equal to_tsvector(header || ' ' || body || ' ' || footer) ). Before I decide to do so, one of my requirements is that I am able to find the most popular keywords amongst all records in the table. Is there anything similar to tsquery that will find my the most popular keywords over all records? 回答1: Most probably the ts_stat