I have to insert the data at a time in 3 tables into PostgreSQL database.
I have to insert data into first and Second table is directly.
But The third table which i received data as array and inserted into 3rd table as same.
Is data inserting as array into PostgreSQL available or possible?
If it possible how can I insert can some correct me
How can i do the same mechanism with Wso2 DSS 3.0.1.
My query is
with first_insert as (insert into sample(name,age)
values(?,?)
RETURNING id
),
second_insert as (insert into sample1(empid,desig)
values((select id from first_insert),?)
RETURNING userid
)
insert into sample2(offid,details)
values((select userid from second_insert),?)
Not sure I understood your question exactly, but at least you could use insert into ... select:
with cte_first_insert as
(
insert into sample1(name, age)
values('John', 25)
returning id
), cte_second_insert as (
insert into sample2(empid, desig)
select id, 1 from cte_first_insert
returning userid
)
insert into sample3(offid, details)
select userid, 'test'
from cte_second_insert;
sql fiddle demo
Related
I have a scenario where I have thousands of Ids (1-1000), I need to insert each of these Ids once into a table with another record.
For example, UserCars - has columns CarId and UserId
I want to INSERT each user in my Id WHERE clause against CarId 1.
INSERT INTO [dbo].[UserCars]
([CarId]
,[UserId])
VALUES
(
1,
**My list of Ids**
)
I'm just not sure of the syntax for running this kind of insert or if it is at all possible.
As you write in the comments that my list of Ids is coming from another table, you can simply use select into with a select clause
See this for more information
insert into UserCars (CarID, UserID)
select CarID, UserID
from othertable
In the select part you can use joins and whatever you need, complex queries are allowed as long as the columns in the result match the columns (CarID, UserID)
or even this to keep up with your example
insert into UserCars (CarID, UserID)
select 1, UserID
from dbo.User
if your data exists on a file, you can use BULK INSERT command, for example:
BULK INSERT UserCars
FROM '\\path\to\your\folder\users-cars.csv';
Just make sure to have the same columns structure both in the file and in the table (e.g. CarId,UserId).
Otherwise, follow #GuidoG comment to insert your data from another table:
insert into UserCars (CarID, UserID) select CarID, UserID from othertable
Given postgres database with 3 tables:
users(user_id: uuid, ...)
urls(slug_id:int8 pkey, slug:text unique not null, long_url:text not null)
userlinks(user_id:fkey users.user_id, slug_id:fkey urls.slug_id)
pkey(user_id, slug_id)
The userlinks table exists as a cross reference to associate url slugs to one or more users.
When a new slug is created by a user I'd like to INSERT into the urls table, take the slug_id that was created there, INSERT into userlinks with current users ID and slug_id
Then if possible return both results as a table of records.
Current users id is accessible with auth.uid()
I'm doing this with a stored procedure in supabase
I've gotten this far but I'm stuck:
WITH urls_row as (
INSERT INTO urls(slug, long_url)
VALUES ('testslug2', 'testlong_url2')
RETURNING slug_id
)
INSERT INTO userlinks(user_id, slug_id)
VALUES (auth.uid(), urls_row.slug_id)
--RETURNING *
--RETURNING (urls_record, userlinks_record)
Try this :
WITH urls_row as (
INSERT INTO urls(slug, long_url)
VALUES ('testslug2', 'testlong_url2')
RETURNING slug_id
), userlink_row AS (
INSERT INTO userlinks(user_id, slug_id)
SELECT auth.uid(), urls_row.slug_id
FROM urls_row
RETURNING *
)
SELECT *
FROM urls_row AS ur
INNER JOIN userlink_row AS us
ON ur.slug_id = us.slug_id
I have to insert data in provonance of several table which itself comes from csv (COPY).
Before I used a LOOP in a function to enter the data. I want to simplify the thing for the sake of maintainability and speed.
I need to insert data into a description table, which serves as both the title and description (and multi language).
Previously my code was as follows (extract from the loop):
insert into description (label, lang_id, poi_id,date_dernier_update, date_enregistrementbdd, date_derniere_lecture) values (label, lang_id, poi_id, now(), now(), now()) RETURNING id INTO _retour_id_titre;
insert into poi_titre_poi (poi_id, titre_poi_id, titre_poi_key) values (poi_id, _retour_id_titre, label_lang);
But now I can't:
with rows as (
insert into description (label, lang_id, poi_id)
select rdfslabelfrs, '1', (select id from poi where uri_id = csv_poi_rdf_fr.poi) as toto from csv_poi_rdf_fr RETURNING id
)
insert into poi_titre_poi (poi_id, titre_poi_id, titre_poi_key)
select description.poi_id, id , 'fr'
FROM description;
In fact, I cannot insert the 'poi_id' in the 'poi_titre_poi' table which corresponds to the one which was inserted in the description table.
I get this error message:
ERROR: more than one row returned by a subquery used as an expression
État SQL : 21000
Can I make this work, or do I need to loop?
Filling in missing bits with assumptions, it could work like this:
WITH description_insert AS (
INSERT INTO description
(label , lang_id, poi_id)
SELECT c.rdfslabelfrs, 1 , p.id
FROM csv_poi_rdf_fr c
JOIN poi p ON p.uri_id = c.poi
RETURNING poi_id, id
)
INSERT INTO poi_titre_poi (poi_id, titre_poi_id, titre_poi_key)
SELECT d.poi_id, d.id , 'fr'
FROM description_insert d;
Related:
PostgreSQL multi INSERT...RETURNING with multiple columns
Insert data in 3 tables at a time using Postgres
Get Id from a conditional INSERT
I need find rows in table users by joining column in table queries.
I wrote some sql but it takes 0.200s to run, when SELECT * FROM ... takes 0.80s.
How can I improve performance?
db-fiddle example
The tables are :
CREATE TABLE users (
id INT,
browser varchar
);
CREATE TABLE queries (
id INT,
settings jsonb
);
INSERT INTO users (id,browser) VALUES (1, 'yandex');
INSERT INTO users (id, browser) VALUES (2, 'google');
INSERT INTO users (id, browser) VALUES (3, 'google');
INSERT INTO queries (id, settings) VALUES (1, '{"browser":["Yandex", "TestBrowser"]}');
and the query :
select x2.id as user_id, x1.id as query_id
FROM (
SELECT id, json_array_elements_text((settings->>'browser')::JSON) browser
FROM queries) x1
JOIN users x2 ON lower(x1.browser::varchar) = lower(x2.browser::varchar)
group by 1,2;
json_array_elements_text((settings->>'browser')::JSON)
'->>' converts the result to text. Then you cast it back to JSON. Doing that on one row (if you only have one) is not really going to be a problem, but it is rather pointless.
You could instead do:
jsonb_array_elements_text(settings->'browser')
ON lower(x1.browser::varchar) = lower(x2.browser::varchar)
You can create an index that can be used for this:
create index on users (lower(browser));
It won't do much good on a table with 3 rows. But presumably you don't really have 3 rows.
I would need to insert the non existing values to a Table.
Table name BarcodeSubgroup (single column table)
Column (nvarchar)
Sample data in the table
ProductSubGroupID
-----------------
F11WD
F77AH
G36CN
G37HJ
H11AA
H11AD
Now I need to insert the non existing values in the table.
Values want to be checked and inserted.
H11AA
H11AD
G78DE
G76DK
G41JA
B45JC
Query written
insert into BarcodeSubgroup
select
productsubgroupid
where
not exists ('G78DE', 'G76DK', 'G41JA',
'B45JC', 'H11AA', 'H11AD')
Now it should insert only the 4 non existing values.
You can do this with select . . . not exists:
insert into BarcodeSubgroup(productsubgroupid)
select productsubgroupid
from (values ('G78DE'), ('G76DK'), ('G41JA'), ('B45JC'), ('H11AA'), ('H11AD') ) v(productsubgroupid)
where not exists (select 1
from BarcodeSubgroup bs
where bs.productsubgroupid = v.productsubgroupid
);