I have table of data jsonb documents in postgres and second table containing templates for data.
I need to match data jsonb row with template jsonb row just by order of elements in array in effective way.
template jsonb document:
{
"template":1,
"rows":[
"first row",
"second row",
"third row"
]
}
data jsonb document:
{
"template":1,
"data":[
125,
578,
445
]
}
desired output:
Desc | Amount |
---|---|
first row | 125 |
second row | 578 |
third row | 445 |
template table:
| id | jsonb |
| -------- | ------------------------------------------------------ |
| 1 | {"template":1,"rows":["first row","second row","third row"]} |
| 2 | {"template":2,"rows":["first row","second row","third row"]} |
| 3 | {"template":3,"rows":["first row","second row","third row"]} |
data table:
| id | jsonb |
| -------- | ------------------------------------------- |
| 1 | {"template":1,"data":[125,578,445]} |
| 2 | {"template":1,"data":[125,578,445]} |
| 3 | {"template":2,"data":[125,578,445]} |
I have millions of data jsonb documents and hundreds of templates.
I would do it just by converting both to tables, then use row_number
windowed function but it does not seem very effective way to me.
Is there better way of doing this?
CodePudding user response:
You will have to normalize this mess "on-the-fly" to get the output you want.
You need to unnest each array using jsonb_array_elements()
using the with ordinality
option to get the array index. You can join the two tables by extracting the value of the template
key:
Assuming you want to return this for a specific row from the data table:
select td.val, dt.val
from data
cross join jsonb_array_elements_text(data.jsonb_column -> 'data') with ordinality as dt(val, idx)
left join template tpl
on tpl.jsonb_column ->> 'template' = data.jsonb_column ->> 'template'
left join jsonb_array_elements_text(tpl.jsonb_column -> 'rows') with ordinality as td(val, idx)
on td.idx = dt.idx
where data.id = 1;