table description
# \d invites;
Table "public.invites"
Column | Type | Modifiers
-----------------------+-----------------------------+---------------------
id | integer | not null default
email | character varying |
key | character varying |
sender_user_id | integer | not null
receiver_user_id | integer |
Indexes:
"invites_pkey" PRIMARY KEY, btree (id)
Foreign-key constraints:
"fk_invites_receiver_user_id"
FOREIGN KEY (receiver_user_id) REFERENCES users(id)
"fk_invites_sender_user_id"
FOREIGN KEY (sender_user_id) REFERENCES users(id)
you can see Foreighn Key "fk_invites_receiver_user_id" FOREIGN KEY (receiver_user_id) REFERENCES users(id).
But the records for user with pk is absent in the parent table, where in the reference table fk is exists.
# select id from users where id = 958;
id
----
(0 rows)
select count(*) from invites where receiver_user_id = 958;
count
-------
1
(1 row)
the question is how it can be, simple way to fix the conflicts is delete wrong records, but want to exclude such situation in the future, and when i try to restore the data there is an error:
DETAIL: Key (receiver_user_id)=(958) is not present in table "users".
Command was: ALTER TABLE ONLY invites
ADD CONSTRAINT fk_invites_receiver_user_id
FOREIGN KEY (receiver_user_id) REFERENCES users(id);
P.S.
database=# select version();
version
------------------------------------------------------------------------
PostgreSQL 9.4.14 on x86_64-unknown-linux-gnu,
compiled by gcc (Ubuntu 4.8.4-2ubuntu1~14.04.3) 4.8.4, 64-bit
Create fail
-- tmp schema
-- \i tmp.sql
-- tables
CREATE TABLE users
(id serial NOT NULL PRIMARY KEY
, name text
);
CREATE TABLE refs
( user_from INTEGER NOT NULL
, user_to INTEGER NOT NULL
, msg text
);
-- data
INSERT INTO users(name) VALUES ('Alice'), ('Bob');
INSERT INTO refs VALUES (1,2), (1,3);
-- FK constraints
ALTER TABLE refs
ADD CONSTRAINT bad_user_from
FOREIGN KEY (user_from) references users(id);
ALTER TABLE refs
ADD CONSTRAINT bad_user_to
FOREIGN KEY (user_to) references users(id)
NOT VALID ; -- <<--HERE
-- This should fail; user=3 does not exist
INSERT INTO refs VALUES (3,2), (2,3);
Repair
-- "repair" the broken refs (by introducing a dummy row)
INSERT INTO users(id,name) VALUES (0, 'NoName');
-- Make the bad FKs point to the dummy row
UPDATE refs r
SET user_to =0
WHERE NOT EXISTS(
SELECT *
FROM users u
WHERE u.id= r.user_to
);
UPDATE refs r
SET user_from =0
WHERE NOT EXISTS(
SELECT *
FROM users u
WHERE u.id= r.user_from
);
SELECT * FROM refs r
JOIN users u0 ON u0.id= r.user_from
JOIN users u1 ON u1.id= r.user_to
;
INSERT INTO users(name) VALUES ('NewName');
-- see what we'v got
SELECT * FROM users;
SELECT* FROM refs r
JOIN users u0 ON u0.id= r.user_from
JOIN users u1 ON u1.id= r.user_to;
Validate constraint
\d refs
\d users
-- enforce the constraint
ALTER TABLE refs
VALIDATE CONSTRAINT bad_user_to; -- <<-- HERE
-- check if valid
\d refs
\d users
-- This should not fail; user=3 does exist now
INSERT INTO refs VALUES (3,2), (2,3);
The answer is unfortunately “data corruption”.
You should delete the offending row, dump the database with pg_dumpall and restore it into a fresh cluster created with initdb.
You should also try to find out what caused the data corruption. Did you have any crashes recently? Could it be that you have unreliable storage or hardware problems? Anything weird in the database log?
To exclude such problems as much as possible, always use the latest fixpack for your PostgreSQL version and use reliable hardware.
Related
I am trying to create a 2-way relationship table in PostgreSQL for my 3 objects. This idea has stemmed from the following question https://dba.stackexchange.com/questions/48568/how-to-relate-two-rows-in-the-same-table where I also want to store the relationship and its reverse between rows.
For context on my database: Object 1 which contains (aka relates to many) object2s. In turn, these object2s also relate to many object3s. A 1-to-many relationship (object 1 to object 2) and many-to-many relationship (object 2 to object 3)
Each of the objects have been assigned a UUID in other tables which contain info regarding them. Based on their UUID's I want to be able to query them and get the associated objects UUID as well. This in turn will show me the associations and direct me as to which object I should be looking at for location, info, etc just by knowing the UUID.
PLEASE NOTE - THAT ONE BOX MAY HAVE A RELTIONSHIP OF 10 SLOTS. THEREFORE THAT ONE UUID ASSIGNED FOR THE BOX WILL APPEAR IN MY UUID1 COLUMN 10 TIMES!! THIS IS A MUST!
My next step was to try and create a directionless relationship using this query:
CREATE TABLE bridge_x
(uuid1 UUID NOT NULL REFERENCES temp (uuid1), uuid2 UUID NOT NULL REFERENCES temp (uuid2),
PRIMARY KEY(uuid1, uuid2),
CONSTRAINT temp_temp_directionless
FOREIGN KEY (uuid2, uuid1)
REFERENCES bridge_x (uuid1, uuid2)
);
Is there any other way I can store ALL the information mentioned and be able to query the UUID in order to see the relationship between the objects?
You'll need a composite primary key in the bridge table. An example, using polygameous marriages:
CREATE TABLE person
(person_id INTEGER NOT NULL PRIMARY KEY
, name varchar NOT NULL
);
CREATE TABLE marriage
( person1 INTEGER NOT NULL
, person2 INTEGER NOT NULL
, comment varchar
, CONSTRAINT marriage_1 FOREIGN KEY (person1) REFERENCES person(person_id)
, CONSTRAINT marriage_2 FOREIGN KEY (person2) REFERENCES person(person_id)
, CONSTRAINT order_in_court CHECK (person1 < person2)
, CONSTRAINT polygamy_allowed UNIQUE (person1,person2)
);
INSERT INTO person(person_id,name) values (1,'Bob'),(2,'Alice'),(3,'Charles');
INSERT INTO marriage(person1,person2, comment) VALUES(1,2, 'Crypto marriage!') ; -- Ok
INSERT INTO marriage(person1,person2, comment) VALUES(2,1, 'Not twice!' ) ; -- Should fail
INSERT INTO marriage(person1,person2, comment) VALUES(3,3, 'No you dont...' ) ; -- Should fail
INSERT INTO marriage(person1,person2, comment) VALUES(2,3, 'OMG she did it again.' ) ; -- Should fail (does not)
INSERT INTO marriage(person1,person2, comment) VALUES(3,4, 'Non existant persons are not allowed to marry !' ) ; -- Should fail
SELECT p1.name, p2.name, m.comment
FROM marriage m
JOIN person p1 ON m.person1 = p1.person_id
JOIN person p2 ON m.person2 = p2.person_id
;
Result:
CREATE TABLE
CREATE TABLE
INSERT 0 3
INSERT 0 1
ERROR: new row for relation "marriage" violates check constraint "order_in_court"
DETAIL: Failing row contains (2, 1, Not twice!).
ERROR: new row for relation "marriage" violates check constraint "order_in_court"
DETAIL: Failing row contains (3, 3, No you dont...).
INSERT 0 1
ERROR: insert or update on table "marriage" violates foreign key constraint "marriage_2"
DETAIL: Key (person2)=(4) is not present in table "person".
name | name | comment
-------+---------+-----------------------
Bob | Alice | Crypto marriage!
Alice | Charles | OMG she did it again.
(2 rows)
I'm on Postgresql 13.
I want a table(rooms) that assume the default value of "1" if I delete from building which is the "parent table"
This is my sql code
DROP TABLE rooms;
DROP TABLE buildings;
CREATE TABLE buildings (
building_no INT default 1 primary key,
building_name VARCHAR(255),
address VARCHAR(255));
CREATE TABLE rooms (
room_no INT GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,
room_name VARCHAR(255),
building_no INT default 1,
FOREIGN KEY (building_no) REFERENCES buildings (building_no) ON DELETE SET default );
I insert the values into the tables
insert into buildings values (1,'Building1','Street 33');
insert into buildings values (2,'Build-B','Street 34');
insert into rooms values (1,'Room 1',1);
insert into rooms values (2,'Room 2',2);
Then I delete from buildings
delete from buildings;
When I delete from buildings instead of make the default value of 1 as I ask it set the value NULL.
test=> select * from rooms;
room_no | room_name | building_no
---------+-----------+-------------
1 | Room 1 |
2 | Room 2 |
What's wrong in my sql code?
By deleting all of the records in buildings, the default value of 1 in the rooms table violates the FK constraint. Therefore, it's going to set it to NULL. If you were to delete all buildings EXCEPT building 1, you will not encounter the behavior you are describing.
I need help in database design.
I have following tables.
Pseudo code:
Table order_status {
id int[pk, increment]
name varchar
}
Table order_status_update {
id int[pk, increment]
order_id int[ref: > order.id]
order_status_id int[ref: > order_status.id]
updated_at datetime
}
Table order_category {
id int[pk, increment]
name varchar
}
Table file {
id int[pk, increment]
order_id int[ref: > order.id]
key varchar
name varchar
path varchar
}
Table order {
id int [pk] // primary key
order_status_id int [ref: > order_status.id]
order_category_id int [ref: > order_category.id]
notes varchar
attributes json // no of attributes is not fixed, hence needed a json column
}
Everything was okay, but now I need an auto-increment id for each type of order_category_id column.
For example, if I have 2 categories electronics and toys , then I would need electronics-1, toy-1, toy-2, electronics-2, electronics-3, toy-3, toy-4, toy-5 values associated with rows of order table. But it's not possible as auto-increment increments based on each new row, not column type.
In other words, for table order instead of
id order_category_id
---------------------
1 1
2 1
3 1
4 2
5 1
6 2
7 1
I need following,
id order_category_id pretty_ids
----------------------------
1 1 toy-1
2 1 toy-2
3 1 toy-3
4 2 electronics-1
5 1 toy-4
6 2 electronics-2
7 1 toy-5
What I tried:
I created separate table for each order category (not an ideal solution but currently I have 6 order categories, so it works for now )
Now, I have table for electronics_order and toys_order. Columns are repetitive, but it works. But now I have another problem, my every relationship with other tables got ruined. Since, both electronics_order and toys_orders can have same id, I cannot use id column to reference order_status_update, order_status, file tables.
I can create another column order_category in each of these tables, but will it be the right way? I am not experienced in database design, so I would like to know how others do it.
I also have a side question.
Do I need tables for order_category and order_status just to store names? Because these values will not change much and I can store them in code and save in columns of order table.
I know separate tables are good for flexibility, but I had to query database 2 times to fetch order_status and order_category by name before inserting new row to order table. And later it will be multiple join for querying order table.
--
If it helps, I am using flask-sqlalchemy in backend and postgresql as database server.
In order to track the increment id which is based on the order_category, we can keep track of this value on another table. Let us call this table: order_category_sequence. To show my solution, I just created simplified version of order table with order_category.
CREATE TABLE order_category (
id SERIAL PRIMARY KEY,
name VARCHAR(100) NULL
);
CREATE TABLE order_category_sequence (
id SERIAL PRIMARY KEY,
order_category_id int NOT NULL,
current_key int not null
);
Alter Table order_category_sequence Add Constraint "fk_order_category_id" FOREIGN KEY (order_category_id) REFERENCES order_category (id);
Alter Table order_category_sequence Add Constraint "uc_order_category_id" UNIQUE (order_category_id);
CREATE TABLE "order" (
id SERIAL PRIMARY KEY,
order_category_id int NOT NULL,
pretty_id VARCHAR(100) null
);
Alter Table "order" Add Constraint "fk_order_category_id" FOREIGN KEY (order_category_id) REFERENCES order_category (id);
The order_category_id column in order_category_sequence table refers the order_category. The current_key column holds the last value in order.
When a new order row is added, we can use a trigger to read the last value from order_category_sequence and update pretty_id. The following trigger definition can be used to achieve this.
--function called everytime a new order is added
CREATE OR REPLACE FUNCTION on_order_created()
RETURNS trigger AS
$BODY$
DECLARE
current_pretty_id varchar(100);
BEGIN
-- increment last value of the corresponding order_category_id in the sequence table
Update order_category_sequence
set current_key = (current_key + 1)
where order_category_id = NEW.order_category_id;
--prepare the pretty_id
Select
oc.name || '-' || s.current_key AS current_pretty_id
FROM order_category_sequence AS s
JOIN order_category AS oc on s.order_category_id = oc.id
WHERE s.order_category_id = NEW.order_category_id
INTO current_pretty_id;
--update order table
Update "order"
set pretty_id = current_pretty_id
where id = NEW.id;
RETURN NEW;
END;
$BODY$ LANGUAGE plpgsql;
CREATE TRIGGER order_created
AFTER INSERT
ON "order"
FOR EACH ROW
EXECUTE PROCEDURE on_order_created();
If we want to synchronize the two table, order_category and order_category_sequence, we can use another trigger to have a row in the latter table every time a new order category is added.
//function called everytime a new order_category is added
CREATE OR REPLACE FUNCTION on_order_category_created()
RETURNS trigger AS
$BODY$
BEGIN
--insert a new row for the newly inserted order_category
Insert into order_category_sequence(order_category_id, current_key)
values (NEW.id, 0);
RETURN NEW;
END;
$BODY$ LANGUAGE plpgsql;
CREATE TRIGGER order_category_created
AFTER INSERT
ON order_category
FOR EACH ROW
EXECUTE PROCEDURE on_order_category_created();
Testing query and result:
Insert into order_category(name)
values ('electronics'),('toys');
Insert into "order"(order_category_id)
values (1),(2),(2);
select * from "order";
Regarding your side question, I prefer to store the lookup values like order_status and order_category in separate tables. Doing this allows to have the above flexibility and it is easy when we have changes.
To answer your side question: yes, you should keep tables with names in them, for a number of reasons. First of all, such tables are small and generally kept in memory by the database, so there is negligible performance benefit to not using the tables. Second, you want to be able to use external tools to query the database and generate reports, and you want these kind of labels available to those tools. Third, you want to minimize the coupling of your software to the actual data so that they can evolve independently. Adding a new category should not require modifying your software.
Now, to the main question, there is no built-in facility for the kind of auto-increment you want. You have to build it yourself.
I suggest you keep the sequence number for each category as a column in the category table. Then you can update it and use the updated sequence number in the order table, like this (which is specific to PostgreSQL):
-- set up the tables
create table orders (
id SERIAL PRIMARY KEY,
order_category_id int,
pretty_id VARCHAR
);
create unique index order_category_pretty_id_idx
on orders (pretty_id);
create table order_category (
id SERIAL PRIMARY KEY,
name varchar NOT NULL,
seq int NOT NULL default 0
);
-- create the categories
insert into order_category
(name) VALUES
('toy'), ('electronics');
-- create orders, specifying the category ID and generating the pretty ID
WITH
new_category_id (id) AS (VALUES (1)), -- 1 here is the category ID for the new order
pretty AS (
UPDATE order_category
SET seq = seq + 1
WHERE id = (SELECT id FROM new_category_id)
RETURNING *
)
INSERT into orders (order_category_id, pretty_id)
SELECT new_category_id.id, concat(pretty.name, '-', pretty.seq)
FROM new_category_id, pretty;
You just plug in your category ID where I have 1 in the example and it will create the new pretty_id for that category. The first category will be toy-1, the next toy-2, etc.
| id | order_category_id | pretty_id |
| --- | ----------------- | ------------- |
| 1 | 1 | toy-1 |
| 2 | 1 | toy-2 |
| 3 | 2 | electronics-1 |
| 4 | 1 | toy-3 |
| 5 | 2 | electronics-2 |
In order to do toys-1 toys-2 toys-3 you should repeat the logic of order_status update, There is no difference between track some status by time or by count.
Just in the order_status update it is simpler you just put now() into updated_at for lets say order_category_track you would take last value + 1 or have different sequences respectively category (would not recommend to do like this because it binds database objects with data in the DB).
I would change a schema to:
In this schema might be in inconsistent state. But in my opinion in your application there are three different entities "order","order_status","order category track" which live their own lives.
And still it is almost impossible to achieve consistent state for this task with out locks for example. This task is complicated by condition that next rows depends on previous what contradicts with SQL.
I would suggest to split category into 2-level hierarchy: category (toy, electronic) and subcategory (toy-1, toy-2, electronic-1, etc.):
So you can use column order_subcategory.full_name contain compiled "toy-1" value, or you can create view to make this field on the fly:
select oc.name || "-" || os.number
from order_category as oc
join order_subcategory as os on oc.id = os.category_id
https://dbdiagram.io/d/5dd6a132edf08a25543e34f8
Regarding your questions "Do I need tables for order_category and order_status just to store names?":
It is best practice to store this kind of data as a separate dictionary table. It gives you consistency and reliability. Querying those tables is very fast and easy for RDBMS, so feel free to use it.
I'll focus on only 3 tables you showed: order, order_status and order_category.
Creating a new table for a new record is not the right way. As your explanation, I think you trying to use order and order_category tables as many to many relationship. If it's so, the thing you need is a pivot table like this:
I currently add order_status column in order table,
you can add this column one of these tables as your need.
side question:
for order_status, if order status is fixed,( like only ACTIVE,INACTIVE and it won't be more values in the future) it would be better to use a column with ENUM type.
The easy answer would be to answer directly to your question. But I do not think it is a good thing in this case. So I will do otherwise.
I think that maybe the whole conception is wrong.
First things first : clarification of your business needs and assertions.
One order can have multiple categories
One category can concern multiple orders
One order can only have one status at a time but multiple through time
One status can be used by multiple orders
One order correspond to a file (probably a billing proof)
One file concerns only one order
Second : Advices
There is a little amount of reserved key words that you must not use in production environment. (https://www.postgresql.org/docs/current/sql-keywords-appendix.html). So for example I replace the word 'order' by 'command'.
Remaining questions that mandatory needs an answer before production : why the attributes attribute in your 'order' table? There is a risk of non respect of normal forms here. (https://www.geeksforgeeks.org/normal-forms-in-dbms/)
Third : conception solution
This normally is enough to give you a good start. But I wanna have fun a little more :) So...
Fourth : interrogation on needed performance
estimation of load per day/month in order (ten million rows per month?)
Fifth : physical solution proposition
Archiving in another tablespace (trigger when cancel or terminated => archived)
Indexes in another tablespace (your dba will thank you for that)
Possible partitionning of order table (https://pgxn.org/dist/pg_partman/doc/pg_partman.html, https://www.postgresql.org/docs/current/ddl-partitioning.html)
Hardware and option choosings (high availibility? disaster management? if it is: the elaboration needs further study but few)
Data transposition (is it really needed? if it is: the elaboration needs further study but few)
The finaaaaaal code-down ! (with the good music)
-- as a postgres user
CREATE DATABASE command_system;
CREATE SCHEMA in_prgoress_command;
CREATE SCHEMA archived_command;
--DROP SCHEMA public;
-- create tablespaces on other location than below
CREATE TABLESPACE command_indexes_tbs location 'c:/Data/indexes';
CREATE TABLESPACE archived_command_tbs location 'c:/Data/archive';
CREATE TABLESPACE in_progress_command_tbs location 'c:/Data/command';
CREATE TABLE in_prgoress_command.command
(
id bigint /*or bigserial if you use a INSERT RETURNING clause*/ primary key
, notes varchar(500)
, fileULink varchar (500)
)
TABLESPACE in_progress_command_tbs;
CREATE TABLE archived_command.command
(
id bigint /*or bigserial if you use a INSERT RETURNING clause*/ primary key
, notes varchar(500)
, fileULink varchar (500)
)
TABLESPACE archived_command_tbs;
CREATE TABLE in_prgoress_command.category
(
id int primary key
, designation varchar(45) NOT NULL
)
TABLESPACE in_progress_command_tbs;
INSERT INTO in_prgoress_command.category
VALUES (1,'Toy'), (2,'Electronic'), (3,'Leather'); --non-exaustive list
CREATE TABLE in_prgoress_command.status
(
id int primary key
, designation varchar (45) NOT NULL
)
TABLESPACE in_progress_command_tbs;
INSERT INTO in_prgoress_command.status
VALUES (1,'Shipping'), (2,'Cancel'), (3,'Terminated'), (4,'Payed'), (5,'Initialised'); --non-exaustive list
CREATE TABLE in_prgoress_command.command_category
(
id bigserial primary key
, idCategory int
, idCommand bigint
)
TABLESPACE in_progress_command_tbs;
ALTER TABLE in_prgoress_command.command_category
ADD CONSTRAINT fk_command_category_category FOREIGN KEY (idCategory) REFERENCES in_prgoress_command.category(id);
ALTER TABLE in_prgoress_command.command_category
ADD CONSTRAINT fk_command_category_command FOREIGN KEY (idCommand) REFERENCES in_prgoress_command.command(id);
CREATE INDEX idx_command_category_category ON in_prgoress_command.command_category USING BTREE (idCategory) TABLESPACE command_indexes_tbs;
CREATE INDEX idx_command_category_command ON in_prgoress_command.command_category USING BTREE (idCommand) TABLESPACE command_indexes_tbs;
CREATE TABLE archived_command.command_category
(
id bigserial primary key
, idCategory int
, idCommand bigint
)
TABLESPACE archived_command_tbs;
ALTER TABLE archived_command.command_category
ADD CONSTRAINT fk_command_category_category FOREIGN KEY (idCategory) REFERENCES in_prgoress_command.category(id);
ALTER TABLE archived_command.command_category
ADD CONSTRAINT fk_command_category_command FOREIGN KEY (idCommand) REFERENCES archived_command.command(id);
CREATE INDEX idx_command_category_category ON archived_command.command_category USING BTREE (idCategory) TABLESPACE command_indexes_tbs;
CREATE INDEX idx_command_category_command ON archived_command.command_category USING BTREE (idCommand) TABLESPACE command_indexes_tbs;
CREATE TABLE in_prgoress_command.command_status
(
id bigserial primary key
, idStatus int
, idCommand bigint
, change_timestamp timestamp --anticipate if you can the time-zone problematic
)
TABLESPACE in_progress_command_tbs;
ALTER TABLE in_prgoress_command.command_status
ADD CONSTRAINT fk_command_status_status FOREIGN KEY (idStatus) REFERENCES in_prgoress_command.status(id);
ALTER TABLE in_prgoress_command.command_status
ADD CONSTRAINT fk_command_status_command FOREIGN KEY (idCommand) REFERENCES in_prgoress_command.command(id);
CREATE INDEX idx_command_status_status ON in_prgoress_command.command_status USING BTREE (idStatus) TABLESPACE command_indexes_tbs;
CREATE INDEX idx_command_status_command ON in_prgoress_command.command_status USING BTREE (idCommand) TABLESPACE command_indexes_tbs;
CREATE UNIQUE INDEX idxu_command_state ON in_prgoress_command.command_status USING BTREE (change_timestamp, idStatus, idCommand) TABLESPACE command_indexes_tbs;
CREATE OR REPLACE FUNCTION sp_trg_archiving_command ()
RETURNS TRIGGER
language plpgsql
as $function$
DECLARE
BEGIN
-- Copy the data
INSERT INTO archived_command.command
SELECT *
FROM in_prgoress_command.command
WHERE new.idCommand = idCommand;
INSERT INTO archived_command.command_status (idStatus, idCommand, change_timestamp)
SELECT idStatus, idCommand, change_timestamp
FROM in_prgoress_command.command_status
WHERE idCommand = new.idCommand;
INSERT INTO archived_command.command_category (idCategory, idCommand)
SELECT idCategory, idCommand
FROM in_prgoress_command.command_category
WHERE idCommand = new.idCommand;
-- Delete the data
DELETE FROM in_prgoress_command.command_status
WHERE idCommand = new.idCommand;
DELETE FROM in_prgoress_command.command_category
WHERE idCommand = new.idCommand;
DELETE FROM in_prgoress_command.command
WHERE idCommand = new.idCommand;
END;
$function$;
DROP TRIGGER IF EXISTS t_trg_archiving_command ON in_prgoress_command.command_status;
CREATE TRIGGER t_trg_archiving_command
AFTER INSERT
ON in_prgoress_command.command_status
FOR EACH ROW
WHEN (new.idstatus = 2 or new.idStatus = 3)
EXECUTE PROCEDURE sp_trg_archiving_command();
CREATE TABLE archived_command.command_status
(
id bigserial primary key
, idStatus int
, idCommand bigint
, change_timestamp timestamp --anticipate if you can the time-zone problematic
)
TABLESPACE archived_command_tbs;
ALTER TABLE archived_command.command_status
ADD CONSTRAINT fk_command_command_status FOREIGN KEY (idStatus) REFERENCES in_prgoress_command.category(id);
ALTER TABLE archived_command.command_status
ADD CONSTRAINT fk_command_command_status FOREIGN KEY (idCommand) REFERENCES archived_command.command(id);
CREATE INDEX idx_command_status_status ON archived_command.command_status USING BTREE (idStatus) TABLESPACE command_indexes_tbs;
CREATE INDEX idx_command_status_command ON archived_command.command_status USING BTREE (idCommand) TABLESPACE command_indexes_tbs;
CREATE UNIQUE INDEX idxu_command_state ON archived_command.command_status USING BTREE (change_timestamp, idStatus, idCommand) TABLESPACE command_indexes_tbs;
Conclusion:
In many cases, when you are worried by the disposition of your keys it is because they are not in the good place. Same goes for cars ones! :D
Do not take any solution as prophetic solution : benchmark it.
I am trying to remove a UNIQUE constraint on a column for sqlite but I do not have the name to remove the constraint. How can I find the name of the UNIQUE constraint name to remove it.
Below is the schema I see for the table I want to remove the constraint
UNIQUE (datasource_name)
sqlite> .schema datasources
CREATE TABLE "datasources" (
created_on DATETIME NOT NULL,
changed_on DATETIME NOT NULL,
id INTEGER NOT NULL,
datasource_name VARCHAR(255),
is_featured BOOLEAN,
is_hidden BOOLEAN,
description TEXT,
default_endpoint TEXT,
user_id INTEGER,
cluster_name VARCHAR(250),
created_by_fk INTEGER,
changed_by_fk INTEGER,
"offset" INTEGER,
cache_timeout INTEGER, perm VARCHAR(1000), filter_select_enabled BOOLEAN, params VARCHAR(1000),
PRIMARY KEY (id),
CHECK (is_featured IN (0, 1)),
CHECK (is_hidden IN (0, 1)),
FOREIGN KEY(created_by_fk) REFERENCES ab_user (id),
FOREIGN KEY(changed_by_fk) REFERENCES ab_user (id),
FOREIGN KEY(cluster_name) REFERENCES clusters (cluster_name),
UNIQUE (datasource_name),
FOREIGN KEY(user_id) REFERENCES ab_user (id)
);
SQLite only supports limited ALTER TABLE, so you can't remove the constaint using ALTER TABLE. What you can do to "drop" the column is to rename the table, create a new table with the same schema except for the UNIQUE constraint, and then insert all data into the new table. This procedure is documented in the Making Other Kinds Of Table Schema Changes section of ALTER TABLE documentation.
I just ran into this myself. An easy solution was using DB Browser for SQLite
It let me remove a unique constraint with just a checkbox in a gui.
PRAGMA foreign_keys=off;
BEGIN TRANSACTION;
ALTER TABLE table_name RENAME TO old_table;
CREATE TABLE table_name
(
column1 datatype [ NULL | NOT NULL ],
column2 datatype [ NULL | NOT NULL ],
...
);
INSERT INTO table_name SELECT * FROM old_table;
COMMIT;
PRAGMA foreign_keys=on;
Source: https://www.techonthenet.com/sqlite/unique.php
I was just working through this issue on a small database and found it easier to dump the data as SQL statements, it prints out your tables exactly as they are and also adds the INSERT INTO statements to rebuild the DB.
The .help terminal command shows:
.dump ?OBJECTS? Render database content as SQL
and prints the SQL to the terminal, you can update it in a TXT file. For once off changes and tidying this seems like a reasonable solution albeit a little inelegant
Example:
I have:
Table A:
int id
int table_b_id
Table B:
int id
text type
I want to add a constraint check on column table_b_id that will verify that it points only to rows in table B which their type value is 'X'.
I can't change table structure.
I've understood it can be done with 'CHECK' and a postgres functions which will do the specific query but I've saw people recommending to avoid it.
Any inputs on what is the best approach to implement it will be helpful.
What you are referring to is not a FOREIGN KEY, which, in PostgreSQL, refers to a (number of) column(s) in an other table where there is a unique index on that/those column(s), and which may have associated automatic actions when the value(s) of that/those column(s) change (ON UPDATE, ON DELETE).
You are trying to enforce a specific kind of referential integrity, similar to what a FOREIGN KEY does. You can do this with a CHECK clause and a function (because the CHECK clause does not allow sub-queries), you can also do it with table inheritance and range partitioning (refer to a child table which holds only rows where type = 'X'), but it is probably the easiest to do this with a trigger:
CREATE FUNCTION trf_test_type_x() RETURNS trigger AS $$
BEGIN
PERFORM * FROM tableB WHERE id = NEW.table_b_id AND type = 'X';
IF NOT FOUND THEN
-- RAISE NOTICE 'Foreign key violation...';
RETURN NULL;
END IF;
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
CREATE tr_test_type_x
BEFORE INSERT OR UPDATE ON tableA
FOR EACH ROW EXECUTE PROCEDURE trf_test_type_x();
You can create a partial index on tableB to speed things up:
CREATE UNIQUE INDEX idx_type_X ON tableB(id) WHERE type = 'X';
The most elegant solution, in my opinion, is to use inheritance to get a subtyping behavior:
PostgreSQL 9.3 Schema Setup with inheritance:
create table B ( id int primary key );
-- Instead to create a 'type' field, inherit from B for
-- each type with custom properties:
create table B_X ( -- some_data varchar(10 ),
constraint pk primary key (id)
) inherits (B);
-- Sample data:
insert into B_X (id) values ( 1 );
insert into B (id) values ( 2 );
-- Now, instead to reference B, you should reference B_X:
create table A ( id int primary key, B_id int references B_X(id) );
-- Here it is:
insert into A values ( 1, 1 );
--Inserting wrong values will causes violation:
insert into A values ( 2, 2 );
ERROR: insert or update on table "a" violates foreign key constraint "a_b_id_fkey"
Detail: Key (b_id)=(2) is not present in table "b_x".
Retrieving all data from base table:
select * from B
Results:
| id |
|----|
| 2 |
| 1 |
Retrieving data with type:
SELECT p.relname, c.*
FROM B c inner join pg_class p on c.tableoid = p.oid
Results:
| relname | id |
|---------|----|
| b | 2 |
| b_x | 1 |