I have gone through various JSONB tutorials:
- https://blog.codeship.com/unleash-the-power-of-storing-json-in-postgres/
- https://www.wagonhq.com/sql-tutorial/values-from-nested-json
- http://schinckel.net/2014/05/25/querying-json-in-postgres/
- http://stormatics.com/howto-use-json-functionality-in-postgresql/
Consider the following example.
There is a table called plans
. It has the following columns:
id
(integer, auto-incrementing primary key).name
(string).structure
(jsonb).
The structure column has a regular JSON object having the following structure:
{
"some_unique_id": {
"key1": "valueA", // Fixed key name.
"key2": "valueB" // Fixed key name.
},
"another_unique_id": {
"key1": "valueC", // Fixed key name.
"key2": "valueB" // Fixed key name.
},
... // can go on up to a 1000 items.
}
Note: The outermost keys are dynamic. They change for every item. The values are just regular JSON objects. Nothing special.
I use UUIDs as the keys in the structure so it is easy to lookup and retrieve a specific value, if I know its UUID.
The other option is to make my structure an array of objects (and put the UUID as a value inside every object) like the following:
[
{
"uuid": "some_unique_id",
"key1": "valueA", // Fixed key name.
"key2": "valueB" // Fixed key name.
},
{
"uuid": "another_unique_id",
"key1": "valueC", // Fixed key name.
"key2": "valueB" // Fixed key name.
},
... // can go on up to a 1000 items.
]
In this latter approach, to retrieve a particular object using its UUID, I would have to loop through the entire array and match the uuid
key of every object.
So, I chose the first approach.
The table has 3 records. For this question, the value of the id
and name
columns are not important.
The actual values of the structure
column in the 3 records are as below.
Record 1:
{
"bab6246d-802c-4b80-af41-ab15fd1541b4": {
"name": "Sanskrit",
"children_uuids": [
"fa42b4b2-a958-42f1-af33-314e8e1fb6a6",
"3aeeadfe-6ad4-4229-85a5-5de030c08014"
],
"is_invisible_node": true,
"tags": [
"paper",
"course_paper"
],
"type": "course_paper"
},
"dbc33473-8453-4cf9-8ecf-d8013283b0d8": {
"name": "French",
"children_uuids": [
"4bf65ff9-3b11-42d5-a744-adcd1fd5a953"
],
"is_invisible_node": true,
"tags": [
"paper",
"course_paper"
],
"type": "course_paper"
}
}
Record 2:
{
"ed6164d0-fdc0-4259-90a5-fd60d9d716dc": {
"name": "Pen and Paper Assessment 1",
"children_uuids": [
],
"is_invisible_node": false,
"tags": [
"paper",
"assessment"
],
"type": "assessment"
},
"059d0116-bca2-49f1-b333-58c4dbec8566": {
"name": "Content",
"children_uuids": [
],
"is_invisible_node": false,
"tags": [
"paper",
"assessment"
],
"type": "assessment"
}
}
Record 3:
{
"63619c7f-fa73-49af-9df5-4be1eb38cee5": {
"name": "Q12",
"children_uuids": [
],
"is_invisible_node": true,
"tags": [
"paper",
"regular_paper"
],
"type": "regular_paper"
},
"56eed164-17f7-48e9-b3ce-b5b469e8cb0e": {
"name": "Q13",
"children_uuids": [
],
"is_invisible_node": false,
"tags": [
"paper",
"regular_paper"
],
"type": "regular_paper"
},
"69d202c1-5c23-412f-860d-1a5d705c31b3": {
"name": "Q14",
"children_uuids": [
],
"is_invisible_node": false,
"tags": [
"paper",
"regular_paper"
],
"type": "regular_paper"
}
}
Now, how do I write queries to do the following two things?
- I want to get all records which contain any objects with the
is_invisible_node
property set to true. - I want to get all objects which contain
regular_paper
as one of itstags
.
Thank you for reading this far! Any help would be appreciated.