DynamoDB-Fehler

Häufige DynamoDB-Fehler (und wie man sie behebt)

Die DynamoDB-Fehler, auf die Entwickler am häufigsten stoßen — jeweils mit Bedeutung, Ursache und der genauen Lösung.

Validierungs- und Ausdrucksfehler

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.

Durchsatz- und Drosselungsfehler

Tabellen- und Ressourcenfehler

Authentifizierungs- und Konfigurationsfehler

DynamoDB Local- und Einrichtungsfehler

Mit DynamoDB ohne die Console arbeiten

DynoTable ist ein schneller Desktop-Client für DynamoDB — durchsuche Tabellen, führe SQL-artige Queries aus und bearbeite Items lokal.