How to check invalid numbers of oracle

Oracle Invalid numeric errors may be caused by data type mismatch, numeric overflow, data conversion errors, or data corruption. Troubleshooting steps include checking data types, detecting digital overflows, checking data conversions, checking data corruption, and exploring other possible solutions such as configuring the NLS_NUMERIC_CHARACTERS parameter and enabling data verification logging.

Oracle Invalid Number Troubleshooting Guide

Question: An invalid number error occurred on Oracle. How to troubleshoot?

answer:

Invalid number errors are usually caused in Oracle by the following reasons:

1. Data type mismatch:

• Try inserting a non-numeric value into a numeric field (for example, inserting the string "abc" into a NUMBER field).
• Try inserting a numeric value into a numeric field with insufficient length (for example, insert 1234567890123456789 into the NUMBER(6) field).

2. Number overflow:

• Try to store large numbers that are beyond the allowable range of the field definition.

3. Data conversion error:

• An error occurred when trying to convert a numeric string to a numeric type (for example, when using the TO_NUMBER() function).

4. Data corruption:

• The data is damaged during storage or transmission, resulting in invalid numeric characters embedded in the data.

Troubleshooting steps:

1. Check the data type:

• Confirm whether the field trying to insert the data is of a numeric type (NUMBER, INTEGER, etc.).
• Checks whether the field is long enough to hold the data to be inserted.

2. Check for number overflow:

• Determines whether the number to be inserted is beyond the range defined by the field. Use the Data Dictionary view USER_TAB_COLUMNS to query the data type and length information for the field.

3. Check for data conversion errors:

• Double-check the syntax of TO_NUMBER() or similar functions. Make sure the numeric string is formatted correctly and the conversion parameters are correct.

4. Troubleshooting data corruption:

• Check the data source for data corruption or inconsistency. Consider using a data repair tool or contacting the data owner to confirm data integrity.

5. Other possible solutions:

• Check the database session settings to make sure the NLS_NUMERIC_CHARACTERS parameter is correctly configured as the decimal point and thousand separator.
• Try turning off data verification in the database to allow temporary insertion of invalid data.
• Enable data validation logging in the database to capture detailed information about invalid number errors.

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