February 11, 2021 - This is a non-issue if the input is type jsonb, because the conversion was already done; but for json input, this may result in throwing an error, as noted in Section 8.14. Note: While the examples for the functions json_populate_record, json_populate_recordset, json_to_record and json_to_recordset use constants, the typical use would be to reference a table in the FROM clause and use one of its json or jsonb columns as an argument to the function.

August 13, 2026 - October 15, 2026: PostgreSQL 19 RC 1 Released! ... JSON data types are for storing JSON (JavaScript Object Notation) data, as specified in RFC 7159. Such data can also be stored as text, but the JSON data types have the advantage of enforcing that each stored value is valid according to the JSON rules. There are also assorted JSON-specific functions and operators available for data stored in these data types; see Section 9.16.

August 13, 2026 - The comparison operators follow the ordering rules for B-tree operations outlined in Section 8.14.4. See also Section 9.21 for the aggregate function json_agg which aggregates record values as JSON, the aggregate function json_object_agg which aggregates pairs of values into a JSON object, and their jsonb equivalents, jsonb_agg and jsonb_object_agg.

JSON Processing Functions · SQL/JSON path expressions specify item(s) to be retrieved from a JSON value, similarly to XPath expressions used for access to XML content. In PostgreSQL, path expressions are implemented as the jsonpath data type and can use any elements described in Section 8.14.7.

April 4, 2026 - A PostgreSQL multidimensional array becomes a JSON array of arrays. Line feeds will be added between dimension 1 elements if pretty_bool is true. ... Here is the result. ... Returns the row as JSON. Line feeds will be added between level 1 elements if pretty_bool is true. ... Here is the result. ... Returns the value as JSON. If the data type is not built in, and there is a cast from the type to json, the cast function will be used to perform the conversion.

August 13, 2026 - The comparison operators follow the ordering rules for B-tree operations outlined in Section 8.14.4. See also Section 9.21 for the aggregate function json_agg which aggregates record values as JSON, the aggregate function json_object_agg which aggregates pairs of values into a JSON object, and their jsonb equivalents, jsonb_agg and jsonb_object_agg.

August 13, 2026 - The comparison operators follow the ordering rules for B-tree operations outlined in Section 8.14.4. See also Section 9.21 for the aggregate function json_agg which aggregates record values as JSON, the aggregate function json_object_agg which aggregates pairs of values into a JSON object, and their jsonb equivalents, jsonb_agg and jsonb_object_agg.

August 24, 2025 - Advanced functions: Complex operations like jsonb_set, jsonb_each_text, and jsonb_array_elements ... These capabilities make PostgreSQL an excellent choice for applications that need to store and query semi-structured JSON data alongside traditional ...

This section introduces you to JSON functions that work with JSON arrays including getting array length and expanding array elements into JSONB values and text.

November 21, 2024 - The standard comparison operators shown in Table 9.1 are available for jsonb, but not for json. They follow the ordering rules for B-tree operations outlined at Section 8.14.4. See also Section 9.20 for the aggregate function json_agg which aggregates record values as JSON, the aggregate function json_object_agg which aggregates pairs of values into a JSON object, and their jsonb equivalents, jsonb_agg and jsonb_object_agg.

August 13, 2026 - The comparison operators follow the ordering rules for B-tree operations outlined in Section 8.14.4. See also Section 9.22 for the aggregate function json_agg which aggregates record values as JSON, the aggregate function json_object_agg which aggregates pairs of values into a JSON object, and their jsonb equivalents, jsonb_agg and jsonb_object_agg.

To learn more about the SQL/JSON standard, see [sqltr-19075-6]. For details on JSON types supported in PostgreSQL, see Section 8.14. Table 9.44 shows the operators that are available for use with JSON data types (see Section 8.14). In addition, the usual comparison operators shown in Table 9.1 are available for jsonb, though not for json. The comparison operators follow the ordering rules for B-tree operations outlined in Section 8.14.4. See also Section 9.21 for the aggregate function json_agg which aggregates record values as JSON, the aggregate function json_object_agg which aggregates pairs of values into a JSON object, and their jsonb equivalents, jsonb_agg and jsonb_object_agg.

If the silent argument is specified and has the true value, these functions suppress the same errors as the @? and @@ operators. SQL/JSON path expressions specify the items to be retrieved from the JSON data, similar to XPath expressions used for SQL access to XML. In PostgreSQL, path expressions are implemented as the jsonpath data type and can use any elements described in Section 8.14.6.

In addition, the usual comparison operators shown in Table 9.1 are available for jsonb, though not for json. The comparison operators follow the ordering rules for B-tree operations outlined in Section 8.14.4. See also Section 9.21 for the aggregate function json_agg which aggregates record values as JSON, the aggregate function json_object_agg which aggregates pairs of values into a JSON object, and their jsonb equivalents, jsonb_agg and jsonb_object_agg.

The Postgres `json_object` function constructs a JSON object from two parallel text arrays (keys and values) or a single interleaved text array, returning a `JSON` value per row. Use it when you need to shape relational columns into a JSON object ...

December 27, 2022 - Another difference is that JSONB supports several additional operators and functions that allow you to manipulate JSON data more easily. For example, the -> operator can be used to extract a value from a JSON object, and the #> operator can be used to extract a value from a JSON object nested within another JSON object. Overall, JSONB is generally a better choice than JSON if you need to store and manipulate JSON data in your PostgreSQL database.

July 15, 2025 - Extensive Functions: PostgreSQL provides a wide range of functions and operators for parsing, querying, and manipulating JSON data, enabling complex data handling directly within SQL queries.

The PostgreSQL array_to_json() function converts an SQL array to a JSON array and returns the JSON array.

Modern applications often deal ... cases. Thankfully, PostgreSQL offers first-class support for JSON, allowing you to store, query, and transform JSON data directly in your database....

May 10, 2023 - To query JSON arrays in PostgreSQL, you can use the various JSON functions and operators provided by PostgreSQL. These functions allow you to extract specific values or elements from the JSON array and perform various operations on them.