jsonb

I've got jsonb field in my database table (a_table) with int value within, say: { "abc":{ "def":{ "ghk":500 } } } I'm about to create SELECT with filter by this field ("ghk") using WHERE clause: SELECT * FROM a_table WHERE ghk BETWEEN 0 AND 1000; How should i create such a query? Couldn't find good tutorial for jsonb usage so far. Thanks in advance! EDIT I found this solution: SELECT * FROM a_table WHERE a_field #> '{abc,def,ghk}' BETWEEN '0' AND '10000' ; Is it correct? The #> returns a JSONB document which you cannot cast to an int . You need the #>> operator which returns a scalar value

Let's say I have a table customer(int id, type varchar, preferences jsonb) . The type can be REGULAR , PREMIUM etc. Based on the column type value the preferences JSON structure will be different. While loading a customer record from database if type=REGULAR I want to convert it into RegularCustomerPreferences object type, and if type=PREMIUM I want to convert it into PremiumCustomerPreferences object type. I have gone through several tutorials on using JOOQ JSON converters/Bindings..but they are one to one mapping and not conditional based (depending on another column value). What is the

In PostgreSQL table, a JSONB type column, and the value stored inside is an array [3,6,78,1] . What should I do to reorder it like [1,3,6,78] ? Unnest the array with jsonb_array_elements() and aggregate its sorted elements using jsonb_agg() : with the_data(val) as (values ('[3,6,78,1]'::jsonb)) select jsonb_agg(elem order by elem) as val from the_data cross join lateral jsonb_array_elements(val) as arr(elem); val --------------- [1, 3, 6, 78] (1 row) You can use the query in a custom function which will be handy in more complex queries: create or replace function jsonb_sort_array(jsonb)

Given the following json: { "foo": [ { "bar": true }, { "bar": true } ] } How can I select the following: { "foo": [ { "bar": false }, { "bar": false } ] } ? So far I've figured out how to manipulate a single array value: SELECT jsonb_set( '{ "foo": [ { "bar": true }, { "bar": true } ] }'::jsonb, '{foo,0,bar}', to_jsonb(false) ) But how do I set all elements within an array? There is no standard function to update json array elements by key. A custom function is probably the simplest way to solve the problem: create or replace function update_array_elements(arr jsonb, key text, value jsonb)

Django highly suggests not to use null=True for CharField and TextField string-based fields in order not to have two possible values for "no data" (assuming you're allowing empty strings with blank=True ). This makes total sense to me and I do this in all my projects. Django 1.9 introduces JSONField , which uses the underlying Postgres jsonb data type. Does the suggestion above carry over to JSONField (i.e. blank=True should be used instead of null=True )? Or, should null=True be used instead? Or, should default=dict be used instead? Or, ..? Why? In other words, what is the convention for the

Is it possible to transform postgresql 9.4 jsonb data without creating function and without using any server side programming language? CREATE TABLE test (id SERIAL PRIMARY KEY,data JSONB); INSERT INTO test(data) VALUES('{"a":1,"b":2}'); INSERT INTO test(data) VALUES('{"a":3,"b":4,"c":7}'); INSERT INTO test(data) VALUES('{"a":5,"b":5,"d":8}'); SELECT * FROM test; id | data ----+------------------------- 1 | {"a": 1, "b": 2} 2 | {"a": 3, "b": 4, "c": 7} 3 | {"a": 5, "b": 5, "d": 8} to transform it into: {1:[1,2,null,null],2:[3,4,7,null],3:[5,5,null,8]} Erwin Brandstetter Use jsonb_populate

I'm trying to search a JSONB object in PostgreSQL 9.4. My question is similar to this thread . However my data structure is slightly different which is causing me problems. My data structure is like: [ {"id":1, "msg":"testing"} {"id":2, "msg":"tested"} {"id":3, "msg":"nothing"} ] and I want to search for matching objects in that array by msg (RegEx, LIKE, =, etc). To be more specific, I want all rows in the table where the JSONB field has an object with a "msg" that matches my request. The following shows a structure similar to what I have: SELECT * FROM (SELECT '[{"id":1,"msg":"testing"},{"id