As i already found here On Stackoverflow it is possible to update multiple rows in one query by doing something like this
update test as t set
column_a =
First of all, I did accept the answer from @vitaly-t, as he taught me to use a better and faster library pg-promise and it did solve my problem. (period)
But to answer my own question for the people who could end up with the same problem and want to stay with the library pg, here is where i made the mistake (it's just syntax)
In my original code i had this line at the end
return {
text: 'UPDATE fit_ratios as f set ratio_budget = c.ratio_budget from (VALUES ' + chunks.join(', ') + ') as c(ratio_label, ratio_budget) WHERE c.ratio_label = f.ratio_label', values: params
}
}
The first time i saw this it was hard to understand so it was very easy to make some mistakes. changing this line of code to what you see underneath fixed my original problem to
return {
text: 'UPDATE fit_ratios as f set ratio_budget = c.value from (VALUES ' + chunks.join(', ') + ') as c(id, value) WHERE c.id = f.ratio_id',
values: params
}
I just missed by using column names instead of using the keys of my object. (e.g. c.ratio_label to c.id, ...)
The example below is based on library pg-promise, and its method helpers.update:
// library initialization, usually placed in its own module:
const pgp = require('pg-promise')({
capSQL: true // capitalize all generated SQL
});
const db = pgp(/*your connection details*/);
// records to be updated:
const updateData = [
{id: 1, value: 1234},
{id: 2, value: 5678},
{id: 3, value: 91011}
];
// declare your ColumnSet once, and then reuse it:
const cs = new pgp.helpers.ColumnSet(['?id', 'value'], {table: 'fit_ratios'});
// generating the update query where it is needed:
const update = pgp.helpers.update(updateData, cs) + ' WHERE v.id = t.id';
//=> UPDATE "fit_ratios" AS t SET "value"=v."value"
// FROM (VALUES(1,1234),(2,5678),(3,91011))
// AS v("id","value") WHERE v.id = t.id
// executing the query:
await db.none(update);
This method of generating multi-row updates can be characterized as:
Note that we use ?
in front of column id
to indicate that the column is part of the condition, but not to be updated. For complete column syntax see class Column and ColumnConfig structure.
Related question: Multi-row insert with pg-promise.