PostgreSQL 相同的触发器函数将 INSERT 上的 UPDATE 更新到不同的表中（使用相同的模式）

Question

I have 100s of tables having the same schema and I have a trigger function to UPDATE some column whenever data is INSERTed into that table.

Table Schema:

CREATE TABLE symbol_daily_ohlc (
 cdate date,
 open numeric(8,2),
 high numeric(8,2),
 low numeric(8,2),
 close numeric(8,2),
 sma8 numeric(8,2)
);

Trigger function:

create or replace function update_sma8() RETURNS TRIGGER AS
$$
BEGIN
UPDATE symbol_daily_ohlc d SET sma8 = s.simple_mov_avg 
FROM
(
 SELECT  sec.cdate,AVG(sec.close)  
 OVER(ORDER BY sec.cdate ROWS BETWEEN 7 PRECEDING AND CURRENT ROW) AS 
 simple_mov_avg FROM symbol_daily_ohlc sec
)s where s.cdate = NEW.cdate  --The newly inserted cdate
 AND d.cdate = s.cdate;   
RETURN NULL;
END $$ language plpgsql;

Trigger setup on table:

CREATE TRIGGER trig_update_sma
AFTER INSERT ON symbol_daily_ohlc
FOR EACH ROW
EXECUTE PROCEDURE update_sma8();

This is working well for the given table ie symbol_daily_ohlc. I would like to use the same trigger function ie update_sma8() to be used with any table having the same schema (I don't want to rewrite the same function for different tables).

I tried replacing the table name (ie symbol_daily_ohlc) with TG_TABLE_NAME, but that didn't work - thrown errors. So how to do that?

Reference: SQL trigger function to UPDATE daily moving average upon INSERT

Answer 1

You can have a same procedure that executes and returns a Trigger for all the tables, but you can't have a same Trigger for all your tables.

Here's a block that dynamically creates a Trigger with table name suffix ( using EXECUTE format )

DO $$
declare
tabs RECORD;
BEGIN
for tabs IN
(select table_name,table_schema
   from information_schema.tables where table_name 
   like 'symbol_daily_ohlc%' 
  -- and table_schema like '%'
) LOOP
EXECUTE format('CREATE TRIGGER check_update_%I
    AFTER INSERT ON %I.%I
    FOR EACH ROW
EXECUTE PROCEDURE update_sma8()',tabs.table_name,
 tabs.table_schema
,tabs.table_name);
END LOOP;
END $$;

And here's your Trigger, which takes the table name dynamically from TG_TABLE_NAME

create or replace function update_sma8() RETURNS TRIGGER AS
$$
 BEGIN

EXECUTE format ('UPDATE %I d SET sma8 = s.simple_mov_avg 
FROM
(
 SELECT  sec.cdate,AVG(sec.close)  
   OVER(ORDER BY sec.cdate ROWS BETWEEN 7 PRECEDING AND CURRENT ROW) AS 
    simple_mov_avg FROM %I sec
)s where s.cdate = %L  --The newly inserted cdate
     AND d.cdate = s.cdate',TG_TABLE_NAME,TG_TABLE_NAME,NEW.cdate);   
RETURN NULL;

END $$ language plpgsql;

Demo

As others have suggested, it's not a good idea to have multiple tables with the same structure. You should consider combining them into one table.

Answer 2

I think you'll probably have to use SQL to generate SQL, then run the generated SQL. Something like:

select CONCAT('create or replace function update_sma8() RETURNS TRIGGER AS
  $$
  BEGIN
  UPDATE ', table_name, '  d SET sma8 = s.simple_mov_avg 
  FROM
  (
   SELECT  sec.cdate,AVG(sec.close)  
   OVER(ORDER BY sec.cdate ROWS BETWEEN 7 PRECEDING AND CURRENT ROW) AS 
   simple_mov_avg FROM ', table_name, '
  )s where s.cdate = NEW.cdate  --The newly inserted cdate
  AND d.cdate = s.cdate;   
  RETURN NULL;
  END $$ language plpgsql;
') from information_schema.tables

But really you should consider Gordon's advice (and my followup) and put all your data back in one table:

SELECT CONCAT('INSERT INTO all_hist SELECT ''', table_name, ''', t.* FROM ', table_name) FROM information_schema.tables

This will generate a bunch of sqls that put all the table data into all_hist, a table that should have an identical schema to the other thousands, except for an additional column "symbol" or whatever..

You can use a similar trick to create yourself a bunch of views to recreate the thousands-table approach if you really want..