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JSON Store

Note: This is a beta feature. Although changes in the API are unlikely, changes in behavior are possible. The main intent for the JSON Store API is to be used within Concord flows. Future versions may restrict the API for external usage.

JSON Store provides a built-in mechanism of storing and querying for arbitrary JSON data persistently. It is useful for processes which require state management beyond regular variables or features provided by the Key Value store.

Note: JSON Store supersedes the old Inventory and Inventory Query APIs. Existing users are encouraged to switch to the JSON Store API. The data created using the old API is available both trough the Inventory and JSON Store APIs.


Any Concord organization can contain multiple JSON stores. Each store must have a name that’s unique for that organization. Just like projects or secrets, JSON stores can be either public or private. Data in public stores can be read by any user in the same organization as the store. Private stores require explicit access rules.

The total size of a store and the maximum allowed number of stores can be restricted using policies.

Each store can contain multiple items. Each item is a well-formed JSON document – Concord performs syntax validation whenever a document is added or updated. Documents are identified by their “path” in the store, each path must be unique and can contain only one document.

Items can be added or retrieved using the API, by using the JSON Store task or using named queries.

Named Queries

Named queries can be used to retrieve multiple items at once, perform aggregations and filtering on the fly.

Queries use SQL:2011 syntax with PostgreSQL 10 extensions for JSON. When executing a query, Concord automatically limits it to the query’s store by adding the store ID condition. All queries are read only and can only access the JSON_STORE_DATA table.

Query parameters can be passed as JSON objects when the query is executed. Note that only valid JSON objects are allowed. If you wish to pass an array or a literal value as a query parameter then you need to wrap it into an object (see the example below).

Queries can be created and executed by using the API, by using the task or in the Concord Console, which provides a way to execute and preview results of a query before saving it.

The result of execution is a JSON array of rows returned by the query. All values must be representable in JSON - strings, numbers, booleans, arrays and objects. Currently there are no limitations on how many rows or columns a query can return (subject to change).


The following PostgreSQL JSON(b) operators are not supported: ?, ?| and ?&.

Query arguments are not supported when executing queries in the Concord Console.


Let’s create a simple user database of some fictional services. All operations except uploading the data can be performed in the Concord Console, but we’re going to use curl for this example.

The example uses the Default Concord organization. Depending on your Concord instance’s configuration it might not be available. In this case, replace Default with the name of your organization.

First, create a store:

$ curl -ikn -X POST \
-H 'Content-Type: application/json' \
-d '{"name": "myStore"}' \

  "result" : "CREATED",
  "ok" : true

Then we can add some data into the new store:

$ curl -ikn -X PUT \
-H 'Content-Type: application/json' \
-d '{"service": "service_a", "users": ["bob", "alice"]}' \

$ curl -ikn -X PUT \
-H 'Content-Type: application/json' \
-d '{"service": "service_b", "users": ["alice", "mike"]}' \

Check if the data is there:

$ curl -ikn https://concord.example.com/api/v1/org/Default/jsonstore/myStore/item/service_a

{"users": ["bob", "alice"], "service": "service_a"}

Now let’s create a simple named query that we can use to find a service value by user.

First, create a JSON file with the query definition:

  "name": "lookupServiceByUser",
  "text": "select item_data->'service' from json_store_data where item_data @> ?::jsonb"

Next, register the query:

$ curl -ikn -X POST \
-H 'Content-Type: application/json' \
-d @/tmp/query.json \

(replace /tmp/query.json with the path of the created file).

Execute the query:

curl -ikn -X POST \
-H 'Content-Type: application/json' \
-d '{ "users": ["mike"] }' \

[ "service_b" ]

Let’s take a closer look at the query:

select item_data->'service' from json_store_data where item_data @> ?::jsonb

We passed { "users": ["mike"] } as the query parameter. If there’s a document with a users property that contains a string value mike then the service value of the same document is returned. In this case, the query returns [ "service_b" ].