Postgres JSON_QUERY() Function
Summary: JSON_QUERY(), added in PostgreSQL 17, extracts JSON or JSONB fragments using SQL/JSON path expressions and returns jsonb. Unlike JSON_VALUE(), it supports multi-value results through WITHOUT, WITH CONDITIONAL, and WITH UNCONDITIONAL WRAPPER modes. Use it when a query must return a JSON object or array rather than a scalar, or when you need OMIT QUOTES, PASSING variables, or ON EMPTY / ON ERROR fallback behavior. It accepts any JSON or JSONB input, supports a RETURNING clause for type conversion, and raises SQLSTATE 22034 when multiple values are returned without a wrapper.
Postgres JSON_QUERY() Function
Section titled “Postgres JSON_QUERY() Function”Extract and Transform JSON Values with SQL/JSON Path Expressions
The JSON_QUERY() function introduced in PostgreSQL 17 provides a powerful way to extract and transform JSON values using SQL/JSON path expressions. This function offers fine-grained control over how JSON values are extracted and formatted in the results.
Use JSON_QUERY() when you need to:
- Extract specific values from complex
JSONstructures - Handle multiple values in results
- Control
JSONstring formatting - Handle empty results and errors gracefully
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Function signature
Section titled “Function signature”The JSON_QUERY() function uses the following syntax:
JSON_QUERY(
context_item, -- Input JSON/JSONB data
path_expression -- SQL/JSON path expression
[ PASSING { value AS varname } [, ...] ]
[ RETURNING data_type [ FORMAT JSON [ ENCODING UTF8 ] ] ]
[ { WITHOUT | WITH { CONDITIONAL | [UNCONDITIONAL] } } [ ARRAY ] WRAPPER ]
[ { KEEP | OMIT } QUOTES [ ON SCALAR STRING ] ]
[ { ERROR | NULL | EMPTY { [ ARRAY ] | OBJECT } | DEFAULT expression } ON EMPTY ]
[ { ERROR | NULL | EMPTY { [ ARRAY ] | OBJECT } | DEFAULT expression } ON ERROR ]
) → jsonbUnderstanding Wrappers and Quotes
Section titled “Understanding Wrappers and Quotes”Wrapper Behavior
Section titled “Wrapper Behavior”By default, JSON_QUERY() does not wrap results (equivalent to WITHOUT WRAPPER). There are three wrapper modes:
WITHOUT WRAPPER(default):- Returns unwrapped values
- Throws an error if multiple values are returned
WITH UNCONDITIONAL WRAPPER(same asWITH WRAPPER):- Always wraps results in an array
- Even single values are wrapped
WITH CONDITIONAL WRAPPER:- Only wraps results when multiple values are present
- Single values remain unwrapped
Quote Behavior
Section titled “Quote Behavior”For scalar string results:
- By default, values are surrounded by quotes (making them valid
JSON) KEEP QUOTES: Explicitly keeps quotes (same as default)OMIT QUOTES: Removes quotes from the result- Cannot use
OMIT QUOTESwith anyWITH WRAPPERoption
Example usage
Section titled “Example usage”Let's explore these behaviors using a sample dataset:
CREATE TABLE users (
id SERIAL PRIMARY KEY,
data JSONB
);
INSERT INTO users (data) VALUES
('{
"profile": {
"name": "John Doe",
"contacts": {
"email": ["john@example.com", "john.doe@work.com"],
"phone": "+1-555-0123"
}
}
}');Working with single values
Section titled “Working with single values”-- Default behavior (unwrapped, quoted)
SELECT JSON_QUERY(
data,
'$.profile.contacts.email[0]'
) FROM users;# | json_query
------------------------
1 | "john@example.com"-- With unconditional wrapper
SELECT JSON_QUERY(
data,
'$.profile.contacts.email[0]'
WITH WRAPPER
) FROM users;# | json_query
------------------------
1 | ["john@example.com"]Working with multiple values
Section titled “Working with multiple values”-- Must use wrapper for multiple values
SELECT JSON_QUERY(
data,
'$.profile.contacts.email[*]'
WITH WRAPPER
) FROM users;# | json_query
-----------------------------------------------------
1 | ["john@example.com", "john.doe@work.com"]-- This will error (multiple values without wrapper)
SELECT JSON_QUERY(
data,
'$.profile.contacts.email[*]'
ERROR ON ERROR
) FROM users;ERROR: JSON path expression in JSON_QUERY should return single item without wrapper (SQLSTATE 22034)
HINT: Use the WITH WRAPPER clause to wrap SQL/JSON items into an array.Using conditional wrapper
Section titled “Using conditional wrapper”-- Single value with conditional wrapper
SELECT JSON_QUERY(
data,
'$.profile.contacts.phone'
WITH CONDITIONAL WRAPPER
) FROM users;# | json_query
-------------------
1 | "+1-555-0123"-- Multiple values with conditional wrapper
SELECT JSON_QUERY(
data,
'$.profile.contacts.email[*]'
WITH CONDITIONAL WRAPPER
) FROM users;# | json_query
-----------------------------------------------------
1 | ["john@example.com", "john.doe@work.com"]Quote handling
Section titled “Quote handling”-- Default (quoted)
SELECT JSON_QUERY(
data,
'$.profile.contacts.phone'
) FROM users;# | json_query
-------------------
1 | "+1-555-0123"-- Without quotes (must not use with wrapper)
SELECT JSON_QUERY(
data,
'$.profile.contacts.phone'
RETURNING TEXT
OMIT quotes
) FROM users;# | json_query
-------------
1 | +1-555-0123Using the PASSING clause
Section titled “Using the PASSING clause”-- Extract array element using a variable
SELECT JSON_QUERY(
'[1, [2, 3], null]',
'lax $[*][$idx]'
PASSING 1 AS idx
WITH CONDITIONAL WRAPPER
);# | json_query
-------------
1 | 3Handling empty results
Section titled “Handling empty results”-- Return custom value when path doesn't match
SELECT JSON_QUERY(
'{"a": 1}',
'$.b'
DEFAULT '{"status": "not_found"}' ON EMPTY
);# | json_query
--------------------------------
1 | {"status": "not_found"}-- Return empty array when path doesn't match
SELECT JSON_QUERY(
'{"a": 1}',
'$.b[*]'
EMPTY ARRAY ON EMPTY
);# | json_query
-------------
1 | []Error handling examples
Section titled “Error handling examples”-- Handle type conversion errors
SELECT JSON_QUERY(
'{"value": "not_a_number"}',
'$.value'
RETURNING numeric
NULL ON ERROR
);# | json_query
-------------
1 |-- Raise error on invalid path
SELECT JSON_QUERY(
'{"a": 1}',
'invalid_path'
ERROR ON ERROR
);ERROR: syntax error at end of jsonpath input (SQLSTATE 42601)Common use cases
Section titled “Common use cases”Data transformation
Section titled “Data transformation”-- Transform and validate JSON data
CREATE TABLE events (
id SERIAL PRIMARY KEY,
event_data JSONB
);
INSERT INTO events (event_data) VALUES
('{
"type": "user_login",
"timestamp": "2024-12-04T10:30:00Z",
"details": {
"user_id": "U123",
"device": "mobile",
"location": {"city": "London", "country": "UK"}
}
}');
-- Extract specific fields with custom formatting
SELECT
JSON_QUERY(event_data, '$.type' RETURNING TEXT OMIT QUOTES) as event_type,
JSON_QUERY(event_data, '$.details.location' WITH WRAPPER) as location
FROM events;# | event_type | location
-------------------------------------
1 | user_login | [{"city": "London", "country": "UK"}]Performance considerations
Section titled “Performance considerations”-
Use appropriate options:
- Use
RETURNING TEXTwithOMIT QUOTESwhen JSON formatting is not required - Choose
CONDITIONAL WRAPPERoverUNCONDITIONALwhen possible - Consider using
DEFAULTexpressions for better error recovery
- Use
-
Optimization tips:
- Create indexes on frequently queried
JSONpaths - Use specific path expressions instead of wildcards when possible
- Create indexes on frequently queried
Learn more
Section titled “Learn more”Related docs (JSON functions)
Section titled “Related docs (JSON functions)”- array_to_json
- json
- json_agg
- json_array_elements
- json_build_object
- json_each
- json_exists
- json_extract_path
- json_extract_path_text
- json_object
- json_populate_record
- json_scalar
- json_serialize
- json_table
- json_to_record
- json_value
- jsonb_array_elements
- jsonb_each
- jsonb_extract_path
- jsonb_extract_path_text
- jsonb_object
- jsonb_populate_record
- jsonb_to_record
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