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@aws-sdk/client-dynamodb

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AWS SDK for JavaScript Dynamodb Client for Node.js, Browser and React Native

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import { __extends } from "tslib"; import { BatchGetItemInput, BatchGetItemOutput } from "../models/models_0"; import { deserializeAws_json1_0BatchGetItemCommand, serializeAws_json1_0BatchGetItemCommand, } from "../protocols/Aws_json1_0"; import { getSerdePlugin } from "@aws-sdk/middleware-serde"; import { Command as $Command } from "@aws-sdk/smithy-client"; /** * <p>The <code>BatchGetItem</code> operation returns the attributes of one or more items from one or * more tables. You identify requested items by primary key.</p> * <p>A single operation can retrieve up to 16 MB of data, which can contain as many as 100 * items. <code>BatchGetItem</code> returns a partial result if the response size limit is * exceeded, the table's provisioned throughput is exceeded, or an internal processing * failure occurs. If a partial result is returned, the operation returns a value for * <code>UnprocessedKeys</code>. You can use this value to retry the operation starting * with the next item to get.</p> * <important> * <p>If you request more than 100 items, <code>BatchGetItem</code> returns a * <code>ValidationException</code> with the message "Too many items requested for * the BatchGetItem call."</p> * </important> * <p>For example, if you ask to retrieve 100 items, but each individual item is 300 KB in * size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns * an appropriate <code>UnprocessedKeys</code> value so you can get the next page of * results. If desired, your application can include its own logic to assemble the pages of * results into one dataset.</p> * <p>If <i>none</i> of the items can be processed due to insufficient * provisioned throughput on all of the tables in the request, then * <code>BatchGetItem</code> returns a * <code>ProvisionedThroughputExceededException</code>. If <i>at least * one</i> of the items is successfully processed, then * <code>BatchGetItem</code> completes successfully, while returning the keys of the * unread items in <code>UnprocessedKeys</code>.</p> * <important> * <p>If DynamoDB returns any unprocessed items, you should retry the batch operation on those * items. However, <i>we strongly recommend that you use an exponential backoff algorithm</i>. * 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.</p> * <p>For more information, see <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ErrorHandling.html#BatchOperations">Batch * Operations and Error Handling</a> in the <i>Amazon DynamoDB Developer Guide</i>.</p> * </important> * <p>By default, <code>BatchGetItem</code> performs eventually consistent reads on every table in the * request. If you want strongly consistent reads instead, you can set <code>ConsistentRead</code> to * <code>true</code> for any or all tables.</p> * <p>In order to minimize response latency, <code>BatchGetItem</code> retrieves items in parallel.</p> * <p>When designing your application, keep in mind that DynamoDB does not return items in any * particular order. To help parse the response by item, include the primary key values for the * items in your request in the <code>ProjectionExpression</code> parameter.</p> * <p>If a requested item does not exist, it is not returned in the result. Requests for * nonexistent items consume the minimum read capacity units according to the type of read. * For more information, see <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.html#CapacityUnitCalculations">Working with Tables</a> in the <i>Amazon DynamoDB Developer * Guide</i>.</p> */ var BatchGetItemCommand = /** @class */ (function (_super) { __extends(BatchGetItemCommand, _super); // Start section: command_properties // End section: command_properties function BatchGetItemCommand(input) { var _this = // Start section: command_constructor _super.call(this) || this; _this.input = input; _this.resolved = false; return _this; // End section: command_constructor } /** * @internal */ BatchGetItemCommand.prototype.resolveMiddleware = function (clientStack, configuration, options) { if (!this.resolved) { this.middlewareStack.use(getSerdePlugin(configuration, this.serialize, this.deserialize)); this.resolved = true; } var stack = clientStack.concat(this.middlewareStack); var logger = configuration.logger; var clientName = "DynamoDBClient"; var commandName = "BatchGetItemCommand"; var handlerExecutionContext = { logger: logger, clientName: clientName, commandName: commandName, inputFilterSensitiveLog: BatchGetItemInput.filterSensitiveLog, outputFilterSensitiveLog: BatchGetItemOutput.filterSensitiveLog, }; var requestHandler = configuration.requestHandler; return stack.resolve(function (request) { return requestHandler.handle(request.request, options || {}); }, handlerExecutionContext); }; BatchGetItemCommand.prototype.serialize = function (input, context) { return serializeAws_json1_0BatchGetItemCommand(input, context); }; BatchGetItemCommand.prototype.deserialize = function (output, context) { return deserializeAws_json1_0BatchGetItemCommand(output, context); }; return BatchGetItemCommand; }($Command)); export { BatchGetItemCommand }; //# sourceMappingURL=BatchGetItemCommand.js.map