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HomeDatabaseMysql TutorialWhy Am I Getting a 'column \'X\' does not exist' Error in My PostgreSQL INSERT Statement?

PostgreSQL INSERT Statement Error: "column "X" does not exist"

When inserting data into a PostgreSQL table, the error "column "X" does not exist" often signifies a problem with the values provided in the INSERT statement. This usually stems from incorrectly formatted string literals.

The error message, as shown in the original problem, likely points to an issue with the last_config_version column. Incorrect quoting of the string value is the most common cause.

The Problem: Incorrect String Quoting

PostgreSQL uses single quotes (') to delimit string literals. Using double quotes (") treats the string as a column identifier, leading to the "column 'X' does not exist" error if that string isn't an actual column name.

Solution 1: Correct String Quoting

The correct way to insert the last_config_version value is to enclose it in single quotes:

INSERT INTO config_change_log (last_config_version, is_done, change_description)
VALUES ('5837-2016-08-24_09-12-22', false, '{ ''key'':''value''}');

Note the use of single quotes around the last_config_version value. Also, within the change_description JSON-like string, single quotes are escaped by doubling them ('').

Solution 2: Handling Single Quotes within Data

If your data requires single quotes, you must escape them by doubling them. For example:

INSERT INTO config_change_log (last_config_version, is_done, change_description)
VALUES ('5837-2016-08-24_09-12-22', false, '{ "key":"value"}');

This assumes that change_description is intended to hold JSON data and that you are using double quotes for keys and values within the JSON string, which is standard JSON practice. If it's not JSON, adjust accordingly using the appropriate escaping for the data type.

"Why

By correctly quoting string literals and escaping single quotes when necessary, your INSERT statements will execute successfully, avoiding the "column "X" does not exist" error. Always double-check your syntax, particularly around string values, to prevent this common PostgreSQL issue.

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