One way to do it would be to:
Not put the percentile in the sales table;
Create an percentile table with a foreign key to the sales table primary key and percentile int4:
CREATE TABLE percentiles( fkey <whatever> PRIMARY KEY REFERENCES sales( <primary key>), percentile INT4 );
Create a sequence for that ancillary table: CREATE SEQUENCE percent_seq;
When ready to create the percentiles, truncate the percentile table and reset the sequence next value:
TRUNCATE percentiles; setval( 'percent_seq', 0);
Now query your sales with the proper order by:
INSERT INTO percentiles SELECT pk_sales, nextval( 'percent_seq') / tile_size FROM sales ORDER BY sales_value;
HTH
Patrick Hatcher wrote:
pg: 7.4.2 RedHat 7.2
Can I get some advice on a possible faster way of doing this:
Scenario: Each day I update a column in a table with an internal percentile value. To arrive at this value, I'll get a count of records with sales > 0 and then divide this count by the total number of tile groups I want. So for example: Total records w/sales > 0 = 730,000 tile# = 100 total percentile groups (730,000 / 100):7300
Now that I have the total number of groups I need, I cycle through my recordset, grab the key field and the current percentile number and stuff the values into a temp table. I mod the current row counter against the total percentile group number. If it is 0 then I add 1 to the current percentile number . After inserting records into the temp file I then update the main table.
Using the example above, the first 7300 records would get a percentile number of 1, the next 7300 records would get a percentile number of 2, then 3,4,5,etc.
Unfortunately, I am going record by record in a loop and the process takes upwards of 20mins. Is there a faster way to do this? I thought about using limit and offset, but I'm not sure how I would accomplish it.
Below is the function I currently use. Thanks for any help provided
CREATE OR REPLACE FUNCTION cdm.percentile_calc() RETURNS text AS 'DECLARE v_interval int4; v_tile int4; v_percentile int4; v_check int4; v_count int4; v_rowcount int4; myRec RECORD;
BEGIN v_count:=0; v_tile:= 100; v_percentile:=1; v_rowcount :=1; v_check:=0;
/* Get count of records with val_purch > 0 */ select into v_count count(*) from cdm.cdm_indiv_mast where val_purch_com >0;
/* this number will be used as part of our MOD to tell when to add one to our percentile */ v_interval := v_count / v_tile;
CREATE TEMP TABLE cdmperct (f1 int8, f2 int2);
FOR myRec IN select indiv_key from cdm.cdm_indiv_mast where val_purch_com >0 order by val_purch_com desc LOOP INSERT INTO cdmperct values (myRec.indiv_key,v_percentile); v_check = mod(v_rowcount,v_interval); IF v_check = 0 THEN v_percentile:=v_percentile+1; END IF; v_rowcount:= v_rowcount+1; END LOOP;
UPDATE cdm.cdm_indiv_mast SET percentiler = f2 from cdmperct where indiv_key = f1;
DROP TABLE cdmperct; RETURN \'DONE\'; END; ' LANGUAGE 'plpgsql' IMMUTABLE;
Patrick Hatcher Macys.Com
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