Error
Error Code:
P0002
PostgreSQL Error P0002: Query Returned No Rows
Description
Error P0002, 'no data found', is a PL/pgSQL specific error. It occurs when a query within a PL/pgSQL block, typically a `SELECT INTO` statement, expects to retrieve exactly one row but finds zero rows matching the specified criteria.
Error Message
no data found
Known Causes
3 known causesExpected Single Row Not Found
A `SELECT INTO` statement or similar PL/pgSQL construct was designed to retrieve exactly one row, but the query returned no matching data.
Incorrect Query Conditions
The `WHERE` clause or other filtering conditions in your query are too restrictive, contain typos, or do not match any existing data.
Missing or Deleted Data
The specific data targeted by your query does not exist in the database, or it has been unexpectedly deleted.
Solutions
4 solutions available1. Verify Query Logic and Table Contents easy
Check your SQL query and the data within your PostgreSQL tables.
1
Examine the `WHERE` clause of your `SELECT` statement. Ensure the conditions accurately reflect the data you expect to retrieve. For example, if you're filtering by an ID, double-check that the ID exists in the table.
SELECT * FROM your_table WHERE your_column = 'expected_value';
2
Manually query the table with more general `WHERE` clauses or without any `WHERE` clause to see if any rows are returned at all. This helps determine if the issue is with your specific filter or with the table's content.
SELECT * FROM your_table;
-- Or with a broader filter:
SELECT * FROM your_table WHERE your_column LIKE '%partial_value%';
3
If you are expecting specific data, try querying for a known existing record to confirm table accessibility and basic query syntax.
SELECT * FROM your_table WHERE primary_key_column = 123; -- Replace with a known primary key
2. Check for Typos in Table and Column Names easy
Ensure that the table and column names in your query are spelled correctly.
1
Carefully review your `SELECT`, `FROM`, and `WHERE` clauses for any spelling mistakes in table names, column names, or aliases.
-- Incorrect spelling example:
SELECT user_id, user_name FROM usrrs WHERE status = 'active';
-- Correct spelling:
SELECT user_id, user_name FROM users WHERE status = 'active';
2
Use a PostgreSQL client tool (like `psql`, pgAdmin, DBeaver) to inspect the database schema and verify the exact spelling of table and column names.
-- In psql:
\d your_table_name
3. Investigate Data Type Mismatches and Case Sensitivity medium
Ensure data types align and consider case sensitivity in string comparisons.
1
If you are comparing values in your `WHERE` clause, make sure the data types are compatible. For instance, comparing a string to a number might not yield results if not handled correctly.
-- If 'user_id' is an integer and you're comparing it to a string:
SELECT * FROM users WHERE user_id = '123'; -- Potentially problematic
-- Correct way:
SELECT * FROM users WHERE user_id = 123;
2
Be aware of PostgreSQL's case sensitivity for string comparisons. By default, `=` is case-sensitive. Use `ILIKE` for case-insensitive matching if needed.
-- Case-sensitive comparison (default):
SELECT * FROM products WHERE name = 'Apple'; -- Will NOT match 'apple'
-- Case-insensitive comparison:
SELECT * FROM products WHERE name ILIKE 'Apple';
3
If you're dealing with date or timestamp comparisons, ensure the format of your literal strings matches PostgreSQL's expected format or use explicit casting.
-- Potentially problematic:
SELECT * FROM events WHERE event_date = '2023-10-27';
-- Using explicit casting (often safer):
SELECT * FROM events WHERE event_date = CAST('2023-10-27' AS DATE);
4. Review Application Code or ORM Usage medium
If the query is generated by an application, examine the code producing the SQL.
1
If your application uses an Object-Relational Mapper (ORM) like SQLAlchemy, Hibernate, or an ORM within a framework (e.g., Django ORM, Rails ActiveRecord), inspect the generated SQL. Most ORMs provide a way to log or view the executed SQL.
-- Example: In Django, you might enable logging or use print(queryset.query)
2
Check the logic in your application code that constructs the query. There might be conditional logic that leads to an empty `WHERE` clause or incorrect parameter values being passed to the database.
def get_user_by_id(user_id):
# If user_id is None or invalid, this query might return no rows
return User.objects.filter(id=user_id).first()
3
Verify that the data being passed from your application to the database for filtering or insertion is correct and matches expected formats and types.
const userId = null; // or an incorrect value
const query = `SELECT * FROM users WHERE id = ${userId}`; // This will likely yield no results