import { Command as $Command } from "@smithy/smithy-client"; import type { MetadataBearer as __MetadataBearer } from "@smithy/types"; import type { DynamoDBClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../DynamoDBClient"; import type { BatchWriteItemInput, BatchWriteItemOutput } from "../models/models_0"; /** * @public */ export type { __MetadataBearer }; export { $Command }; /** * @public * * The input for {@link BatchWriteItemCommand}. */ export interface BatchWriteItemCommandInput extends BatchWriteItemInput { } /** * @public * * The output of {@link BatchWriteItemCommand}. */ export interface BatchWriteItemCommandOutput extends BatchWriteItemOutput, __MetadataBearer { } declare const BatchWriteItemCommand_base: { new (input: BatchWriteItemCommandInput): import("@smithy/smithy-client").CommandImpl; new (input: BatchWriteItemCommandInput): import("@smithy/smithy-client").CommandImpl; getEndpointParameterInstructions(): import("@smithy/middleware-endpoint").EndpointParameterInstructions; }; /** *

The BatchWriteItem operation puts or deletes multiple items in one or * more tables. A single call to BatchWriteItem can transmit up to 16MB of * data over the network, consisting of up to 25 item put or delete operations. While * individual items can be up to 400 KB once stored, it's important to note that an item's * representation might be greater than 400KB while being sent in DynamoDB's JSON format * for the API call. For more details on this distinction, see Naming Rules and Data Types.

* *

* BatchWriteItem cannot update items. If you perform a * BatchWriteItem operation on an existing item, that item's values * will be overwritten by the operation and it will appear like it was updated. To * update items, we recommend you use the UpdateItem action.

* *

The individual PutItem and DeleteItem operations specified * in BatchWriteItem are atomic; however BatchWriteItem as a * whole is not. If any requested operations fail because the table's provisioned * throughput is exceeded or an internal processing failure occurs, the failed operations * are returned in the UnprocessedItems response parameter. You can * investigate and optionally resend the requests. Typically, you would call * BatchWriteItem in a loop. Each iteration would check for unprocessed * items and submit a new BatchWriteItem request with those unprocessed items * until all items have been processed.

*

For tables and indexes with provisioned capacity, if none of the items can be * processed due to insufficient provisioned throughput on all of the tables in the * request, then BatchWriteItem returns a * ProvisionedThroughputExceededException. For all tables and indexes, if * none of the items can be processed due to other throttling scenarios (such as exceeding * partition level limits), then BatchWriteItem returns a * ThrottlingException.

* *

If DynamoDB returns any unprocessed items, you should retry the batch operation on * those items. However, we strongly recommend that you use an exponential * backoff algorithm. If you retry the batch operation immediately, the * underlying read or write requests can still fail due to throttling on the individual * tables. If you delay the batch operation using exponential backoff, the individual * requests in the batch are much more likely to succeed.

*

For more information, see Batch Operations and Error Handling in the Amazon DynamoDB * Developer Guide.

* *

With BatchWriteItem, you can efficiently write or delete large amounts of * data, such as from Amazon EMR, or copy data from another database into DynamoDB. In * order to improve performance with these large-scale operations, * BatchWriteItem does not behave in the same way as individual * PutItem and DeleteItem calls would. For example, you * cannot specify conditions on individual put and delete requests, and * BatchWriteItem does not return deleted items in the response.

*

If you use a programming language that supports concurrency, you can use threads to * write items in parallel. Your application must include the necessary logic to manage the * threads. With languages that don't support threading, you must update or delete the * specified items one at a time. In both situations, BatchWriteItem performs * the specified put and delete operations in parallel, giving you the power of the thread * pool approach without having to introduce complexity into your application.

*

Parallel processing reduces latency, but each specified put and delete request * consumes the same number of write capacity units whether it is processed in parallel or * not. Delete operations on nonexistent items consume one write capacity unit.

*

If one or more of the following is true, DynamoDB rejects the entire batch write * operation:

* * @example * Use a bare-bones client and the command you need to make an API call. * ```javascript * import { DynamoDBClient, BatchWriteItemCommand } from "@aws-sdk/client-dynamodb"; // ES Modules import * // const { DynamoDBClient, BatchWriteItemCommand } = require("@aws-sdk/client-dynamodb"); // CommonJS import * // import type { DynamoDBClientConfig } from "@aws-sdk/client-dynamodb"; * const config = {}; // type is DynamoDBClientConfig * const client = new DynamoDBClient(config); * const input = { // BatchWriteItemInput * RequestItems: { // BatchWriteItemRequestMap // required * "": [ // WriteRequests * { // WriteRequest * PutRequest: { // PutRequest * Item: { // PutItemInputAttributeMap // required * "": { // AttributeValue Union: only one key present * S: "STRING_VALUE", * N: "STRING_VALUE", * B: new Uint8Array(), // e.g. Buffer.from("") or new TextEncoder().encode("") * SS: [ // StringSetAttributeValue * "STRING_VALUE", * ], * NS: [ // NumberSetAttributeValue * "STRING_VALUE", * ], * BS: [ // BinarySetAttributeValue * new Uint8Array(), // e.g. Buffer.from("") or new TextEncoder().encode("") * ], * M: { // MapAttributeValue * "": {// Union: only one key present * S: "STRING_VALUE", * N: "STRING_VALUE", * B: new Uint8Array(), // e.g. Buffer.from("") or new TextEncoder().encode("") * SS: [ * "STRING_VALUE", * ], * NS: [ * "STRING_VALUE", * ], * BS: [ * new Uint8Array(), // e.g. Buffer.from("") or new TextEncoder().encode("") * ], * M: { * "": "", * }, * L: [ // ListAttributeValue * "", * ], * NULL: true || false, * BOOL: true || false, * }, * }, * L: [ * "", * ], * NULL: true || false, * BOOL: true || false, * }, * }, * }, * DeleteRequest: { // DeleteRequest * Key: { // Key // required * "": "", * }, * }, * }, * ], * }, * ReturnConsumedCapacity: "INDEXES" || "TOTAL" || "NONE", * ReturnItemCollectionMetrics: "SIZE" || "NONE", * }; * const command = new BatchWriteItemCommand(input); * const response = await client.send(command); * // { // BatchWriteItemOutput * // UnprocessedItems: { // BatchWriteItemRequestMap * // "": [ // WriteRequests * // { // WriteRequest * // PutRequest: { // PutRequest * // Item: { // PutItemInputAttributeMap // required * // "": { // AttributeValue Union: only one key present * // S: "STRING_VALUE", * // N: "STRING_VALUE", * // B: new Uint8Array(), * // SS: [ // StringSetAttributeValue * // "STRING_VALUE", * // ], * // NS: [ // NumberSetAttributeValue * // "STRING_VALUE", * // ], * // BS: [ // BinarySetAttributeValue * // new Uint8Array(), * // ], * // M: { // MapAttributeValue * // "": {// Union: only one key present * // S: "STRING_VALUE", * // N: "STRING_VALUE", * // B: new Uint8Array(), * // SS: [ * // "STRING_VALUE", * // ], * // NS: [ * // "STRING_VALUE", * // ], * // BS: [ * // new Uint8Array(), * // ], * // M: { * // "": "", * // }, * // L: [ // ListAttributeValue * // "", * // ], * // NULL: true || false, * // BOOL: true || false, * // }, * // }, * // L: [ * // "", * // ], * // NULL: true || false, * // BOOL: true || false, * // }, * // }, * // }, * // DeleteRequest: { // DeleteRequest * // Key: { // Key // required * // "": "", * // }, * // }, * // }, * // ], * // }, * // ItemCollectionMetrics: { // ItemCollectionMetricsPerTable * // "": [ // ItemCollectionMetricsMultiple * // { // ItemCollectionMetrics * // ItemCollectionKey: { // ItemCollectionKeyAttributeMap * // "": "", * // }, * // SizeEstimateRangeGB: [ // ItemCollectionSizeEstimateRange * // Number("double"), * // ], * // }, * // ], * // }, * // ConsumedCapacity: [ // ConsumedCapacityMultiple * // { // ConsumedCapacity * // TableName: "STRING_VALUE", * // CapacityUnits: Number("double"), * // ReadCapacityUnits: Number("double"), * // WriteCapacityUnits: Number("double"), * // Table: { // Capacity * // ReadCapacityUnits: Number("double"), * // WriteCapacityUnits: Number("double"), * // CapacityUnits: Number("double"), * // }, * // LocalSecondaryIndexes: { // SecondaryIndexesCapacityMap * // "": { * // ReadCapacityUnits: Number("double"), * // WriteCapacityUnits: Number("double"), * // CapacityUnits: Number("double"), * // }, * // }, * // GlobalSecondaryIndexes: { * // "": { * // ReadCapacityUnits: Number("double"), * // WriteCapacityUnits: Number("double"), * // CapacityUnits: Number("double"), * // }, * // }, * // }, * // ], * // }; * * ``` * * @param BatchWriteItemCommandInput - {@link BatchWriteItemCommandInput} * @returns {@link BatchWriteItemCommandOutput} * @see {@link BatchWriteItemCommandInput} for command's `input` shape. * @see {@link BatchWriteItemCommandOutput} for command's `response` shape. * @see {@link DynamoDBClientResolvedConfig | config} for DynamoDBClient's `config` shape. * * @throws {@link InternalServerError} (server fault) *

An error occurred on the server side.

* * @throws {@link InvalidEndpointException} (client fault) * * @throws {@link ItemCollectionSizeLimitExceededException} (client fault) *

An item collection is too large. This exception is only returned for tables that * have one or more local secondary indexes.

* * @throws {@link ProvisionedThroughputExceededException} (client fault) *

The request was denied due to request throttling. For detailed information about * why the request was throttled and the ARN of the impacted resource, find the ThrottlingReason field in the returned exception. The Amazon Web Services * SDKs for DynamoDB automatically retry requests that receive this exception. * Your request is eventually successful, unless your retry queue is too large to finish. * Reduce the frequency of requests and use exponential backoff. For more information, go * to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.

* * @throws {@link ReplicatedWriteConflictException} (client fault) *

The request was rejected because one or more items in the request are being modified * by a request in another Region.

* * @throws {@link RequestLimitExceeded} (client fault) *

Throughput exceeds the current throughput quota for your account. For detailed * information about why the request was throttled and the ARN of the impacted resource, * find the ThrottlingReason field in the returned exception. Contact Amazon Web Services Support to request a quota * increase.

* * @throws {@link ResourceNotFoundException} (client fault) *

The operation tried to access a nonexistent table or index. The resource might not * be specified correctly, or its status might not be ACTIVE.

* * @throws {@link ThrottlingException} (client fault) *

The request was denied due to request throttling. For detailed information about why * the request was throttled and the ARN of the impacted resource, find the ThrottlingReason field in the returned exception.

* * @throws {@link DynamoDBServiceException} *

Base exception class for all service exceptions from DynamoDB service.

* * * @example To add multiple items to a table * ```javascript * // This example adds three new items to the Music table using a batch of three PutItem requests. * const input = { * RequestItems: { * Music: [ * { * PutRequest: { * Item: { * AlbumTitle: { * S: "Somewhat Famous" * }, * Artist: { * S: "No One You Know" * }, * SongTitle: { * S: "Call Me Today" * } * } * } * }, * { * PutRequest: { * Item: { * AlbumTitle: { * S: "Songs About Life" * }, * Artist: { * S: "Acme Band" * }, * SongTitle: { * S: "Happy Day" * } * } * } * }, * { * PutRequest: { * Item: { * AlbumTitle: { * S: "Blue Sky Blues" * }, * Artist: { * S: "No One You Know" * }, * SongTitle: { * S: "Scared of My Shadow" * } * } * } * } * ] * } * }; * const command = new BatchWriteItemCommand(input); * const response = await client.send(command); * /* response is * { /* empty *\/ } * *\/ * ``` * * @public */ export declare class BatchWriteItemCommand extends BatchWriteItemCommand_base { /** @internal type navigation helper, not in runtime. */ protected static __types: { api: { input: BatchWriteItemInput; output: BatchWriteItemOutput; }; sdk: { input: BatchWriteItemCommandInput; output: BatchWriteItemCommandOutput; }; }; }