Errores de DynamoDB

Errores comunes de DynamoDB (y cómo solucionarlos)

Los errores de DynamoDB con los que más tropiezan los desarrolladores — cada uno con qué significa, por qué ocurre y la solución exacta.

Errores de validación y expresiones

DynamoDB ValidationException — Causes & How to Fix
A ValidationException means DynamoDB rejected your request before running it because a parameter was malformed. Here are the common triggers and the exact fix for each.
"Query condition missed key schema element" — DynamoDB Fix
This ValidationException means your KeyConditionExpression didn't include the partition key, or referenced an attribute that isn't part of the table/index key. Here's the fix.
"The provided key element does not match the schema" — DynamoDB Fix
This ValidationException means a key attribute's name or type doesn't match your table definition — wrong key name, a missing sort key, or a number sent as a string. Here's the fix.
"Invalid UpdateExpression" Syntax Error — DynamoDB Fix
The most common cause is a reserved keyword used raw, or a missing #name / :value placeholder in your UpdateExpression. Here's how to read the message and fix it.
"ExpressionAttributeValues contains invalid value" — DynamoDB Fix
This ValidationException means a value in ExpressionAttributeValues is empty, the wrong type, or references a placeholder you never defined. Here's the fix.
"Item size has exceeded the maximum allowed size" — DynamoDB Fix
DynamoDB items are capped at 400 KB. This ValidationException means your item (or the item after an update) is over the limit. Here's how to check the size and fix it.
DynamoDB ConditionalCheckFailedException — Causes & Fix
A ConditionalCheckFailedException means your write's ConditionExpression evaluated to false, so DynamoDB rejected it and left the item unchanged. Usually it's expected — here's how to handle it.
DynamoDB TransactionCanceledException — Decode the Cancellation Reasons
A TransactionCanceledException means one item in your transaction failed, so the whole transaction rolled back. The fix is to read the CancellationReasons array. Here's how.

Errores de rendimiento y limitación

Errores de tablas y recursos

Errores de autenticación y configuración

Errores de DynamoDB Local y configuración inicial

Trabaja con DynamoDB sin la Consola

DynoTable es un cliente de escritorio rápido para DynamoDB: explora tablas, ejecuta consultas estilo SQL y edita Items localmente.