![]() ![]() If your table uses a global secondary index, then any write to the table also writes to the index. If you are querying an index where the cardinality of the partition key is low relative to the number of items, that can easily cause throttling if access is not distributed evenly across all keys. Take a look at the access patterns for your data. ![]() Increasing capacity of the table or index may alleviate throttling, but may also cause partition splits, which can actually result in more throttling. If you are experiencing throttling on a table or index that has ever had more than 10GB of data, or 3,000 RCU or 1,000 WCU, then your table is guaranteed to have more than one, and throttling is likely caused by hot partitions.
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