MySQL · December 20, 2023

How to Fix MySQL Error 1064 - SQLSTATE: 42000 (ER_PARSE_ERROR) %s near '%s' at line %d

How to Fix MySQL Error 1064 - SQLSTATE: 42000 (ER_PARSE_ERROR) %s near '%s' at line %d

MySQL is a popular open-source relational database management system used by many websites and applications. However, like any software, it is not immune to errors. One common error that MySQL users may encounter is the "Error 1064 - SQLSTATE: 42000 (ER_PARSE_ERROR) %s near '%s' at line %d". This error message indicates a syntax error in the SQL query, which prevents MySQL from executing the query successfully.

Understanding the Error

Before we dive into the solutions, let's understand the error message in more detail. The error message "Error 1064 - SQLSTATE: 42000 (ER_PARSE_ERROR) %s near '%s' at line %d" provides some valuable information:

  • Error Code: 1064
  • SQLSTATE: 42000
  • Error Message: ER_PARSE_ERROR
  • Near: '%s'
  • Line: %d

The error code 1064 indicates a syntax error in the SQL query. The SQLSTATE 42000 represents a general syntax error. The error message ER_PARSE_ERROR specifies that the error occurred during parsing the SQL query. The "Near" section provides the specific part of the query where the error occurred, and the "Line" section indicates the line number where the error occurred.

Common Causes of Error 1064

Now that we understand the error message, let's explore some common causes of the MySQL Error 1064:

  1. Missing or misplaced punctuation: One of the most common causes is missing or misplaced punctuation marks such as commas, parentheses, or quotation marks. These punctuation marks are essential for the correct syntax of SQL queries.
  2. Reserved keywords: Using reserved keywords as table or column names can lead to syntax errors. MySQL has a list of reserved keywords that cannot be used as identifiers without proper escaping.
  3. Incorrect data types: Assigning incorrect data types to columns or using incompatible data types in comparisons can cause syntax errors.
  4. Unclosed quotes: Forgetting to close quotes in SQL statements can result in syntax errors.
  5. Missing or extra parentheses: Incorrect usage of parentheses can lead to syntax errors, especially in complex queries with multiple conditions.

Fixing the Error

Now that we know the common causes, let's explore some solutions to fix the MySQL Error 1064:

1. Check for missing or misplaced punctuation

Review your SQL query and ensure that all punctuation marks such as commas, parentheses, and quotation marks are correctly placed. Pay close attention to opening and closing parentheses and quotes.

2. Verify reserved keywords

If you are using any reserved keywords as table or column names, make sure to properly escape them using backticks (`) in your SQL query. For example, if you have a column named "order" which is a reserved keyword, you should write it as `order` in your query.

3. Validate data types

Double-check the data types of your columns and ensure that they are compatible with the operations you are performing. For example, if you are comparing a string column with a numeric value, it can result in a syntax error.

4. Close quotes

If you have any quotes in your SQL statement, make sure they are properly closed. Unclosed quotes can cause syntax errors.

5. Review parentheses usage

If your query contains parentheses, carefully review their usage. Ensure that opening and closing parentheses are correctly placed and match each other. Incorrect usage of parentheses can lead to syntax errors.

By following these steps, you should be able to identify and fix the MySQL Error 1064. Remember to double-check your SQL queries for any syntax errors before executing them.

Summary

In conclusion, the MySQL Error 1064 - SQLSTATE: 42000 (ER_PARSE_ERROR) %s near '%s' at line %d is a common syntax error that can occur in MySQL queries. It can be caused by missing or misplaced punctuation, reserved keywords, incorrect data types, unclosed quotes, or incorrect usage of parentheses. By carefully reviewing and correcting these issues, you can resolve the error and ensure the successful execution of your SQL queries.

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