jsonb_object_agg function
The jsonb_object_agg(keys, values)
aggregate function zips together keys
and values
into a jsonb
object. The input values to the aggregate can be filtered.
Syntax
Signatures
Parameter | Type | Description |
---|---|---|
keys | any | The keys to aggregate. |
values | any | The values to aggregate. |
Return value
jsonb_object_agg
returns the aggregated key–value pairs as a jsonb object. Each row in the input corresponds to one key–value pair in the output.
If there are duplicate keys in the input, it is unspecified which key–value pair is retained in the output.
If keys
is null for any input row, that entry pair will be dropped.
This function always executes on the data from value
as if it were sorted in ascending order before the function call. Any specified ordering is ignored. If you need to perform aggregation in a specific order, you must specify ORDER BY
within the aggregate function call itself. Otherwise incoming rows are not guaranteed any order.
Usage in dataflows
While jsonb_object_agg
is available in Materialize, materializing jsonb_object_agg(expression)
is considered an incremental view maintenance anti-pattern. Any change to the data underlying the function call will require the function to be recomputed entirely, discarding the benefits of maintaining incremental updates.
Instead, we recommend that you materialize all components required for the jsonb_object_agg
function call and create a non-materialized view using jsonb_object_agg
on top of that. That pattern is illustrated in the following statements:
CREATE MATERIALIZED VIEW foo_view AS SELECT key_col, val_col FROM foo; CREATE VIEW bar AS SELECT jsonb_object_agg(key_col, val_col) FROM foo_view;
Examples
Consider this query:
SELECT jsonb_object_agg( t.col1, t.col2 ORDER BY t.ts ASC ) FILTER (WHERE t.col2 IS NOT NULL) AS my_agg FROM ( VALUES ('k1', 1, now()), ('k2', 2, now() - INTERVAL '1s'), ('k2', -1, now()), ('k2', NULL, now() + INTERVAL '1s') ) AS t(col1, col2, ts);
my_agg ------------------ {"k1": 1, "k2": -1}
In this example, there are multiple values associated with the k2
key.
The FILTER
clause in the statement above returns values that are not NULL
and orders them by the timestamp column to return the most recent associated value.