Several months ago I learned from an answer on Stack Overflow how to perform multiple updates at once in MySQL using the following syntax:
INSERT INTO table (id, field, field2) VALUES (1, A, X), (2, B, Y), (3, C, Z)
ON DUPLICATE KEY UPDATE field=VALUES(Col1), field2=VALUES(Col2);
I've now switched over to PostgreSQL and apparently this is not correct. It's referring to all the correct tables so I assume it's a matter of different keywords being used but I'm not sure where in the PostgreSQL documentation this is covered.
To clarify, I want to insert several things and if they already exist to update them.
PostgreSQL since version 9.5 has UPSERT syntax, with ON CONFLICT clause. with the following syntax (similar to MySQL)
INSERT INTO the_table (id, column_1, column_2)
VALUES (1, 'A', 'X'), (2, 'B', 'Y'), (3, 'C', 'Z')
ON CONFLICT (id) DO UPDATE
SET column_1 = excluded.column_1,
column_2 = excluded.column_2;
Searching postgresql's email group archives for "upsert" leads to finding an example of doing what you possibly want to do, in the manual:
Example 38-2. Exceptions with UPDATE/INSERT
This example uses exception handling to perform either UPDATE or INSERT, as appropriate:
CREATE TABLE db (a INT PRIMARY KEY, b TEXT);
CREATE FUNCTION merge_db(key INT, data TEXT) RETURNS VOID AS
$$
BEGIN
LOOP
-- first try to update the key
-- note that "a" must be unique
UPDATE db SET b = data WHERE a = key;
IF found THEN
RETURN;
END IF;
-- not there, so try to insert the key
-- if someone else inserts the same key concurrently,
-- we could get a unique-key failure
BEGIN
INSERT INTO db(a,b) VALUES (key, data);
RETURN;
EXCEPTION WHEN unique_violation THEN
-- do nothing, and loop to try the UPDATE again
END;
END LOOP;
END;
$$
LANGUAGE plpgsql;
SELECT merge_db(1, 'david');
SELECT merge_db(1, 'dennis');
There's possibly an example of how to do this in bulk, using CTEs in 9.1 and above, in the hackers mailing list:
WITH foos AS (SELECT (UNNEST(%foo[])).*)
updated as (UPDATE foo SET foo.a = foos.a ... RETURNING foo.id)
INSERT INTO foo SELECT foos.* FROM foos LEFT JOIN updated USING(id)
WHERE updated.id IS NULL;
See a_horse_with_no_name's answer for a clearer example.
Warning: this is not safe if executed from multiple sessions at the same time (see caveats below).
Another clever way to do an "UPSERT" in postgresql is to do two sequential UPDATE/INSERT statements that are each designed to succeed or have no effect.
UPDATE table SET field='C', field2='Z' WHERE id=3;
INSERT INTO table (id, field, field2)
SELECT 3, 'C', 'Z'
WHERE NOT EXISTS (SELECT 1 FROM table WHERE id=3);
The UPDATE will succeed if a row with "id=3" already exists, otherwise it has no effect.
The INSERT will succeed only if row with "id=3" does not already exist.
You can combine these two into a single string and run them both with a single SQL statement execute from your application. Running them together in a single transaction is highly recommended.
This works very well when run in isolation or on a locked table, but is subject to race conditions that mean it might still fail with duplicate key error if a row is inserted concurrently, or might terminate with no row inserted when a row is deleted concurrently. A SERIALIZABLE transaction on PostgreSQL 9.1 or higher will handle it reliably at the cost of a very high serialization failure rate, meaning you'll have to retry a lot. See why is upsert so complicated, which discusses this case in more detail.
This approach is also subject to lost updates in read committed isolation unless the application checks the affected row counts and verifies that either the insert or the update affected a row.
With PostgreSQL 9.1 this can be achieved using a writeable CTE (common table expression):
WITH new_values (id, field1, field2) as (
values
(1, 'A', 'X'),
(2, 'B', 'Y'),
(3, 'C', 'Z')
),
upsert as
(
update mytable m
set field1 = nv.field1,
field2 = nv.field2
FROM new_values nv
WHERE m.id = nv.id
RETURNING m.*
)
INSERT INTO mytable (id, field1, field2)
SELECT id, field1, field2
FROM new_values
WHERE NOT EXISTS (SELECT 1
FROM upsert up
WHERE up.id = new_values.id)
See these blog entries:
Upserting via Writeable CTE
WAITING FOR 9.1 – WRITABLE CTE
WHY IS UPSERT SO COMPLICATED?
Note that this solution does not prevent a unique key violation but it is not vulnerable to lost updates.
See the follow up by Craig Ringer on dba.stackexchange.com
In PostgreSQL 9.5 and newer you can use INSERT ... ON CONFLICT UPDATE.
See the documentation.
A MySQL INSERT ... ON DUPLICATE KEY UPDATE can be directly rephrased to a ON CONFLICT UPDATE. Neither is SQL-standard syntax, they're both database-specific extensions. There are good reasons MERGE wasn't used for this, a new syntax wasn't created just for fun. (MySQL's syntax also has issues that mean it wasn't adopted directly).
e.g. given setup:
CREATE TABLE tablename (a integer primary key, b integer, c integer);
INSERT INTO tablename (a, b, c) values (1, 2, 3);
the MySQL query:
INSERT INTO tablename (a,b,c) VALUES (1,2,3)
ON DUPLICATE KEY UPDATE c=c+1;
becomes:
INSERT INTO tablename (a, b, c) values (1, 2, 10)
ON CONFLICT (a) DO UPDATE SET c = tablename.c + 1;
Differences:
You must specify the column name (or unique constraint name) to use for the uniqueness check. That's the ON CONFLICT (columnname) DO
The keyword SET must be used, as if this was a normal UPDATE statement
It has some nice features too:
You can have a WHERE clause on your UPDATE (letting you effectively turn ON CONFLICT UPDATE into ON CONFLICT IGNORE for certain values)
The proposed-for-insertion values are available as the row-variable EXCLUDED, which has the same structure as the target table. You can get the original values in the table by using the table name. So in this case EXCLUDED.c will be 10 (because that's what we tried to insert) and "table".c will be 3 because that's the current value in the table. You can use either or both in the SET expressions and WHERE clause.
For background on upsert see How to UPSERT (MERGE, INSERT ... ON DUPLICATE UPDATE) in PostgreSQL?
I was looking for the same thing when I came here, but the lack of a generic "upsert" function botherd me a bit so I thought you could just pass the update and insert sql as arguments on that function form the manual
that would look like this:
CREATE FUNCTION upsert (sql_update TEXT, sql_insert TEXT)
RETURNS VOID
LANGUAGE plpgsql
AS $$
BEGIN
LOOP
-- first try to update
EXECUTE sql_update;
-- check if the row is found
IF FOUND THEN
RETURN;
END IF;
-- not found so insert the row
BEGIN
EXECUTE sql_insert;
RETURN;
EXCEPTION WHEN unique_violation THEN
-- do nothing and loop
END;
END LOOP;
END;
$$;
and perhaps to do what you initially wanted to do, batch "upsert", you could use Tcl to split the sql_update and loop the individual updates, the preformance hit will be very small see http://archives.postgresql.org/pgsql-performance/2006-04/msg00557.php
the highest cost is executing the query from your code, on the database side the execution cost is much smaller
There is no simple command to do it.
The most correct approach is to use function, like the one from docs.
Another solution (although not that safe) is to do update with returning, check which rows were updates, and insert the rest of them
Something along the lines of:
update table
set column = x.column
from (values (1,'aa'),(2,'bb'),(3,'cc')) as x (id, column)
where table.id = x.id
returning id;
assuming id:2 was returned:
insert into table (id, column) values (1, 'aa'), (3, 'cc');
Of course it will bail out sooner or later (in concurrent environment), as there is clear race condition in here, but usually it will work.
Here's a longer and more comprehensive article on the topic.
I use this function merge
CREATE OR REPLACE FUNCTION merge_tabla(key INT, data TEXT)
RETURNS void AS
$BODY$
BEGIN
IF EXISTS(SELECT a FROM tabla WHERE a = key)
THEN
UPDATE tabla SET b = data WHERE a = key;
RETURN;
ELSE
INSERT INTO tabla(a,b) VALUES (key, data);
RETURN;
END IF;
END;
$BODY$
LANGUAGE plpgsql
Personally, I've set up a "rule" attached to the insert statement. Say you had a "dns" table that recorded dns hits per customer on a per-time basis:
CREATE TABLE dns (
"time" timestamp without time zone NOT NULL,
customer_id integer NOT NULL,
hits integer
);
You wanted to be able to re-insert rows with updated values, or create them if they didn't exist already. Keyed on the customer_id and the time. Something like this:
CREATE RULE replace_dns AS
ON INSERT TO dns
WHERE (EXISTS (SELECT 1 FROM dns WHERE ((dns."time" = new."time")
AND (dns.customer_id = new.customer_id))))
DO INSTEAD UPDATE dns
SET hits = new.hits
WHERE ((dns."time" = new."time") AND (dns.customer_id = new.customer_id));
Update: This has the potential to fail if simultaneous inserts are happening, as it will generate unique_violation exceptions. However, the non-terminated transaction will continue and succeed, and you just need to repeat the terminated transaction.
However, if there are tons of inserts happening all the time, you will want to put a table lock around the insert statements: SHARE ROW EXCLUSIVE locking will prevent any operations that could insert, delete or update rows in your target table. However, updates that do not update the unique key are safe, so if you no operation will do this, use advisory locks instead.
Also, the COPY command does not use RULES, so if you're inserting with COPY, you'll need to use triggers instead.
Similar to most-liked answer, but works slightly faster:
WITH upsert AS (UPDATE spider_count SET tally=1 WHERE date='today' RETURNING *)
INSERT INTO spider_count (spider, tally) SELECT 'Googlebot', 1 WHERE NOT EXISTS (SELECT * FROM upsert)
(source: http://www.the-art-of-web.com/sql/upsert/)
I custom "upsert" function above, if you want to INSERT AND REPLACE :
`
CREATE OR REPLACE FUNCTION upsert(sql_insert text, sql_update text)
RETURNS void AS
$BODY$
BEGIN
-- first try to insert and after to update. Note : insert has pk and update not...
EXECUTE sql_insert;
RETURN;
EXCEPTION WHEN unique_violation THEN
EXECUTE sql_update;
IF FOUND THEN
RETURN;
END IF;
END;
$BODY$
LANGUAGE plpgsql VOLATILE
COST 100;
ALTER FUNCTION upsert(text, text)
OWNER TO postgres;`
And after to execute, do something like this :
SELECT upsert($$INSERT INTO ...$$,$$UPDATE... $$)
Is important to put double dollar-comma to avoid compiler errors
check the speed...
According the PostgreSQL documentation of the INSERT statement, handling the ON DUPLICATE KEY case is not supported. That part of the syntax is a proprietary MySQL extension.
I have the same issue for managing account settings as name value pairs.
The design criteria is that different clients could have different settings sets.
My solution, similar to JWP is to bulk erase and replace, generating the merge record within your application.
This is pretty bulletproof, platform independent and since there are never more than about 20 settings per client, this is only 3 fairly low load db calls - probably the fastest method.
The alternative of updating individual rows - checking for exceptions then inserting - or some combination of is hideous code, slow and often breaks because (as mentioned above) non standard SQL exception handling changing from db to db - or even release to release.
#This is pseudo-code - within the application:
BEGIN TRANSACTION - get transaction lock
SELECT all current name value pairs where id = $id into a hash record
create a merge record from the current and update record
(set intersection where shared keys in new win, and empty values in new are deleted).
DELETE all name value pairs where id = $id
COPY/INSERT merged records
END TRANSACTION
CREATE OR REPLACE FUNCTION save_user(_id integer, _name character varying)
RETURNS boolean AS
$BODY$
BEGIN
UPDATE users SET name = _name WHERE id = _id;
IF FOUND THEN
RETURN true;
END IF;
BEGIN
INSERT INTO users (id, name) VALUES (_id, _name);
EXCEPTION WHEN OTHERS THEN
UPDATE users SET name = _name WHERE id = _id;
END;
RETURN TRUE;
END;
$BODY$
LANGUAGE plpgsql VOLATILE STRICT
For merging small sets, using the above function is fine. However, if you are merging large amounts of data, I'd suggest looking into http://mbk.projects.postgresql.org
The current best practice that I'm aware of is:
COPY new/updated data into temp table (sure, or you can do INSERT if the cost is ok)
Acquire Lock [optional] (advisory is preferable to table locks, IMO)
Merge. (the fun part)
UPDATE will return the number of modified rows. If you use JDBC (Java), you can then check this value against 0 and, if no rows have been affected, fire INSERT instead. If you use some other programming language, maybe the number of the modified rows still can be obtained, check documentation.
This may not be as elegant but you have much simpler SQL that is more trivial to use from the calling code. Differently, if you write the ten line script in PL/PSQL, you probably should have a unit test of one or another kind just for it alone.
Edit: This does not work as expected. Unlike the accepted answer, this produces unique key violations when two processes repeatedly call upsert_foo concurrently.
Eureka! I figured out a way to do it in one query: use UPDATE ... RETURNING to test if any rows were affected:
CREATE TABLE foo (k INT PRIMARY KEY, v TEXT);
CREATE FUNCTION update_foo(k INT, v TEXT)
RETURNS SETOF INT AS $$
UPDATE foo SET v = $2 WHERE k = $1 RETURNING $1
$$ LANGUAGE sql;
CREATE FUNCTION upsert_foo(k INT, v TEXT)
RETURNS VOID AS $$
INSERT INTO foo
SELECT $1, $2
WHERE NOT EXISTS (SELECT update_foo($1, $2))
$$ LANGUAGE sql;
The UPDATE has to be done in a separate procedure because, unfortunately, this is a syntax error:
... WHERE NOT EXISTS (UPDATE ...)
Now it works as desired:
SELECT upsert_foo(1, 'hi');
SELECT upsert_foo(1, 'bye');
SELECT upsert_foo(3, 'hi');
SELECT upsert_foo(3, 'bye');
PostgreSQL >= v15
Big news on this topic as in PostgreSQL v15, it is possible to use MERGE command. In fact, this long awaited feature was listed the first of the improvements of the v15 release.
This is similar to INSERT ... ON CONFLICT but more batch-oriented. It has a powerful WHEN MATCHED vs WHEN NOT MATCHED structure that gives the ability to INSERT, UPDATE or DELETE on such conditions.
It not only eases bulk changes, but it even adds more control that tradition UPSERT and INSERT ... ON CONFLICT
Take a look at this very complete sample from official page:
MERGE INTO wines w
USING wine_stock_changes s
ON s.winename = w.winename
WHEN NOT MATCHED AND s.stock_delta > 0 THEN
INSERT VALUES(s.winename, s.stock_delta)
WHEN MATCHED AND w.stock + s.stock_delta > 0 THEN
UPDATE SET stock = w.stock + s.stock_delta
WHEN MATCHED THEN
DELETE;
PostgreSQL v9, v10, v11, v12, v13, v14
If version is under v15 and over v9.5 , probably best choice is to use UPSERT syntax, with ON CONFLICT clause
Here is the example how to do upsert with params and without special sql constructions
if you have special condition (sometimes you can't use 'on conflict' because you can't create constraint)
WITH upd AS
(
update view_layer set metadata=:metadata where layer_id = :layer_id and view_id = :view_id returning id
)
insert into view_layer (layer_id, view_id, metadata)
(select :layer_id layer_id, :view_id view_id, :metadata metadata FROM view_layer l
where NOT EXISTS(select id FROM upd WHERE id IS NOT NULL) limit 1)
returning id
maybe it will be helpful
I am having a stored procedure mentioned below.
create or replace
PROCEDURE example(
in_start_date IN VARCHAR2,
in_svc_provider IN a_message.msg_service_provider%type,sell OUT number)
IS
BEGIN SELECT COUNT(*) as sell
FROM a_message b1 WHERE TO_CHAR(b1.msg_when_created,'YYYY-MM-DD') = in_start_date
AND b1.msg_trans_type = 'SELL'
AND b1.msg_service_provider = in_svc_provider;
end;
While executing the stored procedure I am getting following error.
Error(11,1): PLS-00428: an INTO clause is expected in this SELECT statement
Can you please provide me the resolution for this issue.while executing the same command in sql it is working fine but in stored procedure compilation error is occurring it means in stored procedure INTO replacing AS will give the same output please clarify.
The error message is fairly self-explanatory; the PL/SQL version of a SELECT requires an INTO clause so the result of your query has somewhere to go. You already have an OUT parameter to put the value into:
create or replace
PROCEDURE example(
in_start_date IN VARCHAR2,
in_svc_provider IN a_message.msg_service_provider%type,
sell OUT number)
IS
BEGIN
SELECT COUNT(*) INTO sell
FROM a_message b1
WHERE TO_CHAR(b1.msg_when_created,'YYYY-MM-DD') = in_start_date
AND b1.msg_trans_type = 'SELL'
AND b1.msg_service_provider = in_svc_provider;
end;
The SELECT is now INTO your OUT parameter, and its value will be available to whoever calls your procedure.
This only works if your query will always return exactly one row. If it doesn't return anything then you'll get a no-data-found exception; if it returns more than one row you'll get a too-many-rows exception. And you need to have a variable for each column your query returns - only one in this case. You can also declare a local variable (between IS and BEGIN) to hold temporary values that you will manipulate within the procedure, but you don't need that here either.
When you compiled your procedure it would have said it compiled with warnings, because of that syntax error. If you created it in SQL*Plus or SQL Developer, and maybe some other tools, you could have seen the error straight away by issuing the command show errors, or at any time by querying the user_errors view. When you called the procedure it was invalid and was automatically recompiled, which just regenerated the same error as nothing had changed; that's when you saw the PLS-00428 message. It's better to look for errors at compile time than wait for recompilation at execution time.
Incidentally, it's generally better to convert a fixed value into the data type used by your table, rather than the other way round. When you do this:
WHERE TO_CHAR(b1.msg_when_created,'YYYY-MM-DD') = in_start_date
... every column in your table has to have its msg_when_created DATE value converted to a string to be compared to the in_start_date string, which would prevent an index on that column being used. It's preferable to do:
WHERE b1.msg_when_created = TO_DATE(in_start_date, 'YYYY-MM-DD')
or if your column has a time component:
WHERE b1.msg_when_created >= TO_DATE(in_start_date, 'YYYY-MM-DD')
AND b1.msg_when_created < TO_DATE(in_start_date, 'YYYY-MM-DD') + INTERVAL '1' DAY
It would be even better to make your caller convert the value to a DATE so you don't have to worry about matching a passed format:
...
in_start_date IN a_message.msg_when_created%TYPE,
...
WHERE b1.msg_when_created >= TRUNC(in_start_date)
AND b1.msg_when_created < TRUNC(in_start_date) + INTERVAL '1' DAY
use into function
example: select count(*) into cnt_length from Table
This has been asked multiple times here and here, but none of the answers are suitable in my case because I do not want to execute my update statement in a PL/PgSQL function and use GET DIAGNOSTICS integer_var = ROW_COUNT.
I have to do this in raw SQL.
For instance, in MS SQL SERVER we have ##ROWCOUNT which could be used like the following :
UPDATE <target_table>
SET Proprerty0 = Value0
WHERE <predicate>;
SELECT <computed_value_columns>
FROM <target>
WHERE ##ROWCOUNT > 0;
In one roundtrip to the database I know if the update was successfull and get the calculated values back.
What could be used instead of '##ROWCOUNT' ?
Can someone confirm that this is in fact impossible at this time ?
Thanks in advance.
EDIT 1 : I confirm that I need to use raw SQL (I wrote "raw plpgsql" in the original description).
In an attempt to make my question clearer please consider that the update statement affects only one row and think about optimistic concurrency:
The client did a SELECT Statement at first.
He builds the UPDATE and knows which database computed columns are to be included in the SELECT clause. Among other things, the predicate includes a timestamp that is computed each time the rows is updated.
So, if we have 1 row returned then everything is OK. If no row is returned then we know that there was a previous update and the client may need to refresh the data before trying to update clause again. This is why we need to know how many rows where affected by the update statement before returning computed columns. No row should be returned if the update fails.
What you want is not currently possible in the form that you describe, but I think you can do what you want with UPDATE ... RETURNING. See UPDATE ... RETURNING in the manual.
UPDATE <target_table>
SET Proprerty0 = Value0
WHERE <predicate>
RETURNING Property0;
It's hard to be sure, since the example you've provided is so abstract as to be somewhat meaningless.
You can also use a wCTE, which allows more complex cases:
WITH updated_rows AS (
UPDATE <target_table>
SET Proprerty0 = Value0
WHERE <predicate>
RETURNING row_id, Property0
)
SELECT row_id, some_computed_value_from_property
FROM updated_rows;
See common table expressions (WITH queries) and depesz's article on wCTEs.
UPDATE based on some added detail in the question, here's a demo using UPDATE ... RETURNING:
CREATE TABLE upret_demo(
id serial primary key,
somecol text not null,
last_updated timestamptz
);
INSERT INTO upret_demo (somecol, last_updated) VALUES ('blah',current_timestamp);
UPDATE upret_demo
SET
somecol = 'newvalue',
last_updated = current_timestamp
WHERE last_updated = '2012-12-03 19:36:15.045159+08' -- Change to your timestamp
RETURNING
somecol || '_computed' AS a,
'totally_new_computed_column' AS b;
Output when run the 1st time:
a | b
-------------------+-----------------------------
newvalue_computed | totally_new_computed_column
(1 row)
When run again, it'll have no effect and return no rows.
If you have more complex calculations to do in the result set, you can use a wCTE so you can JOIN on the results of the update and do other complex things.
WITH upd_row AS (
UPDATE upret_demo SET
somecol = 'newvalue',
last_updated = current_timestamp
WHERE last_updated = '2012-12-03 19:36:15.045159+08'
RETURNING id, somecol, last_updated
)
SELECT
'row_'||id||'_'||somecol||', updated '||last_updated AS calc1,
repeat('x',4) AS calc2
FROM upd_row;
In other words: Use UPDATE ... RETURNING, either directly to produce the calculated rows, or in a writeable CTE for more complex cases.
Generally the answer to this question depends on the type of the driver used.
PQcmdTuples() function does what is needed, if the application uses libpq. Other libraries on top of libpq need to have some wrapper on top of this function.
For JDBC the Statement.executeUpdate() method seems to the job.
ODBC provides SQLRowCount() function for the similar purpose.
I want to define a trigger in PostgreSQL to check that the inserted row, on a generic table, has the the property: "no other row exists with the same key in the same valid time" (the keys are sequenced keys). In fact, I has already implemented it. But since the trigger has to scan the entire table, now i'm wondering: is there a need for a table-level lock? Or this is managed someway by the PostgreSQL itself?
Here is an example.
In the upcoming PostgreSQL 9.0 I would have defined the table in this way:
CREATE TABLE medicinal_products
(
aic_code CHAR(9), -- sequenced key
full_name VARCHAR(255),
market_time PERIOD,
EXCLUDE USING gist
(aic_code CHECK WITH =,
market_time CHECK WITH &&)
);
but in fact I have been defined it like this:
CREATE TABLE medicinal_products
(
PRIMARY KEY (aic_code, vs),
aic_code CHAR(9), -- sequenced key
full_name VARCHAR(255),
vs DATE NOT NULL,
ve DATE,
CONSTRAINT valid_time_range
CHECK (ve > vs OR ve IS NULL)
);
Then, I have written a trigger that check the costraint: "two distinct medicinal products can have the same code in two different periods, but not in same time".
So the code:
INSERT INTO medicinal_products VALUES ('1','A','2010-01-01','2010-04-01');
INSERT INTO medicinal_products VALUES ('1','A','2010-03-01','2010-06-01');
return an error.
One solution is to have a second table to use for detecting clashes, and populate that with a trigger. Using the schema you added into the question:
CREATE TABLE medicinal_product_date_map(
aic_code char(9) NOT NULL,
applicable_date date NOT NULL,
UNIQUE(aic_code, applicable_date));
(note: this is the second attempt due to misreading your requirement the first time round. hope it's right this time).
Some functions to maintain this table:
CREATE FUNCTION add_medicinal_product_date_range(aic_code_in char(9), start_date date, end_date date)
RETURNS void STRICT VOLATILE LANGUAGE sql AS $$
INSERT INTO medicinal_product_date_map
SELECT $1, $2 + offset
FROM generate_series(0, $3 - $2)
$$;
CREATE FUNCTION clr_medicinal_product_date_range(aic_code_in char(9), start_date date, end_date date)
RETURNS void STRICT VOLATILE LANGUAGE sql AS $$
DELETE FROM medicinal_product_date_map
WHERE aic_code = $1 AND applicable_date BETWEEN $2 AND $3
$$;
And populate the table first time with:
SELECT count(add_medicinal_product_date_range(aic_code, vs, ve))
FROM medicinal_products;
Now create triggers to populate the date map after changes to medicinal_products: after insert calls add_, after update calls clr_ (old values) and add_ (new values), after delete calls clr_.
CREATE FUNCTION sync_medicinal_product_date_map()
RETURNS trigger LANGUAGE plpgsql AS $$
BEGIN
IF TG_OP = 'UPDATE' OR TG_OP = 'DELETE' THEN
PERFORM clr_medicinal_product_date_range(OLD.aic_code, OLD.vs, OLD.ve);
END IF;
IF TG_OP = 'UPDATE' OR TG_OP = 'INSERT' THEN
PERFORM add_medicinal_product_date_range(NEW.aic_code, NEW.vs, NEW.ve);
END IF;
RETURN NULL;
END;
$$;
CREATE TRIGGER sync_date_map
AFTER INSERT OR UPDATE OR DELETE ON medicinal_products
FOR EACH ROW EXECUTE PROCEDURE sync_medicinal_product_date_map();
The uniqueness constraint on medicinal_product_date_map will trap any products being added with the same code on the same day:
steve#steve#[local] =# INSERT INTO medicinal_products VALUES ('1','A','2010-01-01','2010-04-01');
INSERT 0 1
steve#steve#[local] =# INSERT INTO medicinal_products VALUES ('1','A','2010-03-01','2010-06-01');
ERROR: duplicate key value violates unique constraint "medicinal_product_date_map_aic_code_applicable_date_key"
DETAIL: Key (aic_code, applicable_date)=(1 , 2010-03-01) already exists.
CONTEXT: SQL function "add_medicinal_product_date_range" statement 1
SQL statement "SELECT add_medicinal_product_date_range(NEW.aic_code, NEW.vs, NEW.ve)"
PL/pgSQL function "sync_medicinal_product_date_map" line 6 at PERFORM
This depends on the values being checked for having a discrete space- which is why I asked about dates vs timestamps. Although timestamps are, technically, discrete since Postgresql only stores microsecond-resolution, adding an entry to the map table for every microsecond the product is applicable for is not practical.
Having said that, you could probably also get away with something better than a full-table scan to check for overlapping timestamp intervals, with some trickery on looking for only the first interval not after or not before... however, for easy discrete spaces I prefer this approach which IME can also be handy for other things too (e.g. reports that need to quickly find which products are applicable on a certain day).
I also like this approach because it feels right to leverage the database's uniqueness-constraint mechanism this way. Also, I feel it will be more reliable in the context of concurrent updates to the master table: without locking the table against concurrent updates, it would be possible for a validation trigger to see no conflict and allow inserts in two concurrent sessions, that are then seen to conflict when both transaction's effects are visible.
Just a thought, in case the valid time blocks could be coded with a number or something, creating a UNIQUE index on Id+TimeBlock would be blazingly fast and resolve all table lock problems.
It is managed by PostgreSQL itself. On a select it acquires an ACCESS_SHARE lock which means that you can query the table but do not perform updates.
A radical solution which might help you is to use a cache like ehcache or memcached to store the id/timeblock info and not use the postgresql at all. Many can be persisted so they would survive a server restart and they do not exhibit this locking behavior.
Why can't you use a UNIQUE constraint? Will be much faster (it's an index) and easier.