Common SQL Errors

PostgreSQL Error - 2203G sql_json_item_cannot_be_cast_to_target_type Error Explained and Fixed

August 4, 2025

The error appears when a JSON value returned by SQL/JSON functions cannot be implicitly or explicitly converted to the requested SQL type.

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What is sql_json_item_cannot_be_cast_to_target_type error?

sql_json_item_cannot_be_cast_to_target_type occurs in PostgreSQL when a SQL-JSON query tries to convert a JSON value to an incompatible SQL type. Cast the JSON item explicitly, supply a compatible path predicate, or use jsonb_to_record() to avoid the mismatch and the query will run successfully.

Error Highlights

Typical Error Message

sql_json_item_cannot_be_cast_to_target_type

Error Type

Data Type Error

Language

PostgreSQL

Symbol

sql_json_item_cannot_be_cast_to_target_type

Error Code

2203G

SQL State

Explanation

Table of Contents

What is sql_json_item_cannot_be_cast_to_target_type error?

PostgreSQL raises the sql_json_item_cannot_be_cast_to_target_type error (SQLSTATE 2203G) when a SQL/JSON path query or function tries to coerce a JSON value into an incompatible SQL data type.

The server aborts execution immediately after detecting the mismatch, returning the error instead of silently truncating or corrupting data.

Fixing the cast or filtering the path lets the statement finish successfully.

What Causes This Error?

The error surfaces when a numeric cast is requested but the JSON value is non-numeric, or when a text cast fails due to invalid encoding.

Functions such as json_path_query_first(), jsonb_extract_path_text(), or ->> operators often trigger the problem.

CALL statements that map JSON arguments to stored-procedure parameters with stricter types also raise the same condition.

How to Fix sql_json_item_cannot_be_cast_to_target_type

First validate the JSON path so only compatible values reach the cast. Next, apply explicit casts like CAST(value AS integer) or use safe conversion helpers (jsonb_to_record()).

Finally, wrap questionable casts in a CASE expression to skip incompatible rows.

Common Scenarios and Solutions

Selecting phone numbers stored as strings but casting to bigint fails. Strip non-digits or keep them as text before the cast.

Updating a numeric column with jsonb_extract_path_text(doc,'price')::numeric fails when price is "N/A". Filter rows WHERE jsonb_typeof(doc->'price')='string' AND doc->>'price' ~ '^[0-9.]+'.

Best Practices to Avoid This Error

Always inspect jsonb_typeof() results before casting. Store data as jsonb with proper types from the start.

Implement CHECK constraints that validate structure on insert.

Use Galaxy's AI copilot to highlight unsafe casts in the editor and suggest jsonb_to_recordset() patterns that guarantee type safety.

Related Errors and Solutions

sql_json_no_item - occurs when the JSON path matches nothing. Provide a default value with COALESCE.

invalid_json_text - raised when JSON is malformed. Validate JSON before storage.

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Common Causes

JSON value is the wrong primitive

Attempting to cast a JSON string like "abc" to integer immediately triggers the error.

Inconsistent array element types

Mixed arrays where some elements are numeric and others are objects cause failures during aggregate casts.

NULL versus absent distinction

JSON path returning SQL NULL is still cast, but a missing key returns no item, which is then cast and fails.

Encoding or locale issues

Text values containing invalid UTF-8 bytes cannot be converted to PostgreSQL text and raise the error.

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Related Errors

FAQs

Can I disable the strict cast check?

No. PostgreSQL follows the SQL standard and stops on incompatible casts instead of silently converting.

Does this error affect json and jsonb equally?

Yes. The cast rules apply to both types because the SQL/JSON path layer sits above the storage format.

Will SET standard_conforming_strings help?

No. That setting controls string escaping, not JSON type casting.

How does Galaxy prevent this error?

Galaxy's AI copilot scans your query AST and warns when a JSON cast lacks a preceding type check, reducing runtime failures.

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