本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

# Amazon Personalize 端點和配額
<a name="limits"></a>

下列各節包含 Amazon Personalize 指導方針、配額和端點的相關資訊。對於可調整的配額，您可以使用 [Service Quotas 主控台](https://console.aws.amazon.com/servicequotas/)請求增加配額。如需詳細資訊，請參閱[請求提高配額](#requesting-limit-increase)。

**Topics**
+ [Amazon Personalize 端點和區域](#regions)
+ [合規](#compliance)
+ [Service Quotas](#limits-table)
+ [請求提高配額](#requesting-limit-increase)

## Amazon Personalize 端點和區域
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如需依區域分類的 Amazon Personalize 端點清單，請參閱《*Amazon Web Services 一般參考*》中的[AWS 區域和端點](https://docs.aws.amazon.com/general/latest/gr/personalize.html)。

## 合規
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如需有關 Amazon Personalize 合規計劃的資訊，請參閱[AWS 合規](https://aws.amazon.com/compliance/)[AWS 計劃範圍內的合規](https://aws.amazon.com/compliance/programs/)[AWS 、合規計劃和服務](https://aws.amazon.com/compliance/services-in-scope)。

## Service Quotas
<a name="limits-table"></a>

 AWS 您的帳戶具有下列 Amazon Personalize 配額。


| 資源 | 配額 | 
| --- |--- |
| **Item interactions** | 
| --- |
| Minimum number of unique item interactions required to create a solution version or recommender. For a custom solution, you must have this many records after any filtering by event type or event value before training.  | 1000 | 
| For User-Personalization-v2 and Personalized-Ranking-v2 recipes, the maximum number of item interactions that are considered by a model during training. | 3 billion | 
| For all domain use cases and custom recipes other than User-Personalization-v2 or Personalized-Ranking-v2, the maximum number of item interactions that are considered by a model during training. | 500 million (adjustable) | 
| Maximum number of distinct event types combined with total number of optional metadata columns in an Item interactions dataset. | 10 | 
| Maximum number of metadata columns, excluding reserved fields, in an Item interactions dataset. | 5 | 
| Maximum number of characters for categorical data and impression values. | 1000 | 
| Maximum amount of bulk item interactions data per dataset import job with FULL import mode. | 100 GB (increases to 1TB with any increase to 模型考慮的項目互動) | 
| Maximum amount of bulk item interactions data per dataset import job with INCREMENTAL import mode. | 1 GB | 
| Minimum number of item interactions records per dataset import job with FULL or INCREMENTAL import mode. | 1000 | 
| **Users** | 
| --- |
| Minimum number of unique users in item interactions data, with at minimum 2 item interactions each, required to create a domain recommender or custom solution version. | 25 | 
| Minimum percentage of total users that must have at minimum 2 item interactions or more before you can create a domain recommender or custom solution version. | 1 percent | 
| Maximum number of metadata fields for a Users dataset. | 25 | 
| Maximum number of characters for USER\$1ID data values. | 256 | 
| Maximum number of characters for categorical data values. | 1000 characters | 
| Maximum amount of bulk user data per dataset import job with FULL import mode. | 100 GB | 
| Maximum amount of bulk user data per dataset import job with INCREMENTAL import mode. | 1 GB | 
| **Items** | 
| --- |
| For User-Personalization-v2 or Personalized-Ranking-v2, the maximum number of items that are considered by a model during training. These items are from both the Items and Item interactions dataset. | 5 million | 
| For all domain use cases and custom recipes other than User-Personalization-v2 and Personalized-Ranking-v2, the maximum number of items that are considered by a model during training and generating recommendations. | 750,000 | 
| Maximum number of metadata fields for an Items dataset. | 100 | 
| Maximum number of characters for ITEM\$1ID data values. | 256 | 
| Maximum number of characters for categorical and non-categorical string data values. | 1000 characters | 
| Maximum number of textual fields for an Items dataset. | 1 | 
| Maximum number of characters for textual data values for Chinese and Japanese languages. | 7,000 characters | 
| Maximum number of characters for textual data values for all other languages. | 20,000 characters | 
| Maximum amount of bulk items data per dataset import job with BULK import mode. | 100 GB | 
| Maximum amount of bulk item data per dataset import job with INCREMENTAL import mode. | 1 GB | 
| **Actions** | 
| --- |
| Maximum number of actions that are considered by a model during training and generating recommendations. | 1000 | 
| Maximum number of metadata fields for an Actions dataset. | 10 | 
| Maximum number of characters for ACTION\$1ID data values. | 256 | 
| Maximum number of characters for categorical data values. | 1000 characters | 
| Maximum amount of bulk actions data per dataset import job with BULK import mode. | 100 GB | 
| Maximum amount of bulk actions data per dataset import job with INCREMENTAL import mode. | 1 GB | 
| **Action interactions** | 
| --- |
| Maximum number of action interactions that are considered by a model during training. | 500 million | 
| Maximum number of metadata columns, excluding reserved fields, in a Action interactions dataset. | 5 | 
| Maximum amount of bulk interactions data per dataset import job with FULL import mode. | 100 GB (increases to 1TB with any increase to 模型考慮的動作項目互動) | 
| Maximum amount of bulk interactions data per dataset import job with INCREMENTAL import mode. | 1 GB | 
| **Individual record import APIs** | 
| --- |
| Maximum rate of PutEvents requests per dataset group. | 1000/second | 
| Maximum number of events in a PutEvents call. | 10 | 
| Maximum size of an event. | 10 KB | 
| Maximum rate of PutActionInteractions requests per dataset group. | 1000/second | 
| Maximum number of action interaction events in a PutActionInteractions call. | 10 | 
| Maximum size of an action interaction event. | 10 KB | 
| Maximum rate of PutItems requests per dataset group. | 10/second | 
| Maximum number of items in a PutItems call. | 10 | 
| Maximum rate of PutUsers requests per dataset group. | 10/second | 
| Maximum number of users in a PutUsers call. | 10 | 
| Maximum rate of PutActions requests per dataset group. | 10/second | 
| Maximum number of users in a PutActions call. | 10 | 
| **Legacy recipes** | 
| --- |
| Maximum amount of combined data for Users and Items datasets for HRNN-metadata and HRNN-Coldstart recipes. | 5 GB | 
| Maximum number of cold start items the HRNN-Coldstart recipe supports to train a model (create a solution version). | 80000 | 
| Minimum number of cold start items the HRNN-Coldstart recipe requires to train a model (create a solution version). | 100 | 
| **Filters** | 
| --- |
| Total number of filters per dataset group. | 30 (adjustable) | 
| Maximum number of distinct dataset fields for a filter. | 10 | 
| Total number of distinct dataset fields across all filters in a dataset group. | 20 | 
| Maximum number of item interactions per user per event type considered by a filter. | 100 interactions (adjustable) | 
| Maximum number of action interactions per user per event type considered by a filter. | 300 action interactions (adjustable) | 
| **GetRecommendations / GetPersonalizedRanking / GetActionRecommendations requests** | 
| --- |
| Maximum transaction rate for GetRecommendations, GetActionRecommendations and GetPersonalizedRanking requests. | 2500/sec | 
| Maximum number of GetRecommendations requests per second per campaign. | 500/sec | 
| Maximum number of GetActionRecommendations requests per second per campaign. | 500/sec | 
| Maximum number of GetPersonalizedRanking requests per second per campaign. | 500/sec. | 
| Maximum number of metadata columns per GetRecommendations or GetPersonalizedRanking request. | 10 | 
| Maximum number of recommendation results for a GetRecommendation request without metadata. | 500 | 
| Maximum number of recommendation results for a GetRecommendation request with metadata. | 50 | 
| Maximum number of items for ranking in a GetPersonalizedRanking request without metadata. | 500 | 
| Maximum number of items for ranking in a GetPersonalizedRanking request with metadata. | 50 | 
| **Metric attribution quotas** | 
| --- |
| Maximum number of metrics for a metric attribution | 10 | 
| Maximum number of unique event attribution sources | 100 | 
| **Batch inference jobs** | 
| --- |
| Maximum number of input files for a batch inference job. | 1000 | 
| Maximum size of batch inference job input. | 1 GB | 
| Maximum number of records per input file for a batch inference job without themes. | 50 million | 
| Maximum number of records per input file for a batch inference job with themes. | 100 | 
| **Batch segment jobs** | 
| --- |
| Maximum number of input files for a batch segment job. | 1000 | 
| Maximum size of batch segment job input. | 1 GB | 
| Maximum number of queries per input file for Item-Affinity recipe. | 500 | 
| Maximum number of queries per input file for Item-Attribute-Affinity recipe. | 10 | 
| Maximum number of users per segment | 5 million | 
| **Data deletion jobs** | 
| --- |
| Maximum number of data deletion jobs for a dataset group with a status of PENDING.  | 5 (adjustable) | 
| Maximum total size of your data deletion input file or files  | 100 MB | 

 AWS 您的帳戶在每個區域都有以下配額。


| 資源 | 配額 | 
| --- | --- | 
| 作用中結構描述的總數量。 | 500 | 
| 作用中資料集群組的總數量。 | 5 （可調整） | 
| 待定或進行中資料集匯入任務的總數。 | 5 | 
| 待定或進行中批次推論任務的總數。 | 5 （可調整） | 
| 待處理或進行中批次區段任務的總數。 | 5 | 
| 待定或進行中解決方案版本的總數。 | 20 （可調整） | 

每個資料集群組都有下列配額。


| 資源 | 配額 | 
| --- | --- | 
| 作用中解決方案的總數量。 | 10 （可調整） | 
| 作用中行銷活動的總數量。 | 5 （可調整） | 
| 建議者總數。 | 5 | 
| 篩選條件總數。 | 30 （可調整） | 
| 所有篩選條件的不同資料集欄位總數。 | 20 | 
| 狀態為 PENDING 之資料集群組的資料刪除任務總數。 | 5 | 

## 請求提高配額
<a name="requesting-limit-increase"></a>

 對於可調整的配額，您可以使用 [Service Quotas 主控台](https://console.aws.amazon.com/servicequotas/)請求增加配額。下列 Amazon Personalize 配額可調整：
+ 模型在訓練期間考慮的項目互動數量上限。
+ 每個資料集群組的作用中行銷活動 
+ 作用中的資料集群組
+ 每個資料集群組的作用中篩選條件 
+ 每個資料集群組的作用中解決方案 
+ 每次增量匯入的資料量
+ 篩選條件考慮的每個事件類型每個使用者的項目互動數量上限
+ 待定或進行中批次推論任務的總數 
+ 待定或進行中解決方案版本的總數 
+ `PutEvents` 或 `PutActionInteraction`請求的最大速率 

 若要請求提高配額，請使用 [Service Quotas 主控台](https://console.aws.amazon.com/servicequotas/)，並遵循 *Service Quotas 使用者指南*中[請求提高配額](https://docs.aws.amazon.com/servicequotas/latest/userguide/request-quota-increase.html)一節中的步驟。