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Jeff Mitchell
2017-01-26 20:16:19 -05:00
parent 2498b6dfc7
commit 15993a9934
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vendor/github.com/aws/aws-sdk-go/service/dynamodb/service.go generated vendored
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@@ -11,119 +11,24 @@ import (
"github.com/aws/aws-sdk-go/private/protocol/jsonrpc"
)
// This is the Amazon DynamoDB API Reference. This guide provides descriptions
// of the low-level DynamoDB API.
// Amazon DynamoDB is a fully managed NoSQL database service that provides fast
// and predictable performance with seamless scalability. DynamoDB lets you
// offload the administrative burdens of operating and scaling a distributed
// database, so that you don't have to worry about hardware provisioning, setup
// and configuration, replication, software patching, or cluster scaling.
//
// This guide is intended for use with the following DynamoDB documentation:
// With DynamoDB, you can create database tables that can store and retrieve
// any amount of data, and serve any level of request traffic. You can scale
// up or scale down your tables' throughput capacity without downtime or performance
// degradation, and use the AWS Management Console to monitor resource utilization
// and performance metrics.
//
// * Amazon DynamoDB Getting Started Guide (http://docs.aws.amazon.com/amazondynamodb/latest/gettingstartedguide/)
// - provides hands-on exercises that help you learn the basics of working
// with DynamoDB. If you are new to DynamoDB, we recommend that you begin
// with the Getting Started Guide.
//
// * Amazon DynamoDB Developer Guide (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/)
// - contains detailed information about DynamoDB concepts, usage, and best
// practices.
//
// * Amazon DynamoDB Streams API Reference (http://docs.aws.amazon.com/dynamodbstreams/latest/APIReference/)
// - provides descriptions and samples of the DynamoDB Streams API. (For
// more information, see Capturing Table Activity with DynamoDB Streams (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html)
// in the Amazon DynamoDB Developer Guide.)
//
// Instead of making the requests to the low-level DynamoDB API directly from
// your application, we recommend that you use the AWS Software Development
// Kits (SDKs). The easy-to-use libraries in the AWS SDKs make it unnecessary
// to call the low-level DynamoDB API directly from your application. The libraries
// take care of request authentication, serialization, and connection management.
// For more information, see Using the AWS SDKs with DynamoDB (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/UsingAWSSDK.html)
// in the Amazon DynamoDB Developer Guide.
//
// If you decide to code against the low-level DynamoDB API directly, you will
// need to write the necessary code to authenticate your requests. For more
// information on signing your requests, see Using the DynamoDB API (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/API.html)
// in the Amazon DynamoDB Developer Guide.
//
// The following are short descriptions of each low-level API action, organized
// by function.
//
// Managing Tables
//
// * CreateTable - Creates a table with user-specified provisioned throughput
// settings. You must define a primary key for the table - either a simple
// primary key (partition key), or a composite primary key (partition key
// and sort key). Optionally, you can create one or more secondary indexes,
// which provide fast data access using non-key attributes.
//
// * DescribeTable - Returns metadata for a table, such as table size, status,
// and index information.
//
// * UpdateTable - Modifies the provisioned throughput settings for a table.
// Optionally, you can modify the provisioned throughput settings for global
// secondary indexes on the table.
//
// * ListTables - Returns a list of all tables associated with the current
// AWS account and endpoint.
//
// * DeleteTable - Deletes a table and all of its indexes.
//
// For conceptual information about managing tables, see Working with Tables
// (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.html)
// in the Amazon DynamoDB Developer Guide.
//
// Reading Data
//
// * GetItem - Returns a set of attributes for the item that has a given
// primary key. By default, GetItem performs an eventually consistent read;
// however, applications can request a strongly consistent read instead.
//
// * BatchGetItem - Performs multiple GetItem requests for data items using
// their primary keys, from one table or multiple tables. The response from
// BatchGetItem has a size limit of 16 MB and returns a maximum of 100 items.
// Both eventually consistent and strongly consistent reads can be used.
//
// * Query - Returns one or more items from a table or a secondary index.
// You must provide a specific value for the partition key. You can narrow
// the scope of the query using comparison operators against a sort key value,
// or on the index key. Query supports either eventual or strong consistency.
// A single response has a size limit of 1 MB.
//
// * Scan - Reads every item in a table; the result set is eventually consistent.
// You can limit the number of items returned by filtering the data attributes,
// using conditional expressions. Scan can be used to enable ad-hoc querying
// of a table against non-key attributes; however, since this is a full table
// scan without using an index, Scan should not be used for any application
// query use case that requires predictable performance.
//
// For conceptual information about reading data, see Working with Items (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithItems.html)
// and Query and Scan Operations (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/QueryAndScan.html)
// in the Amazon DynamoDB Developer Guide.
//
// Modifying Data
//
// * PutItem - Creates a new item, or replaces an existing item with a new
// item (including all the attributes). By default, if an item in the table
// already exists with the same primary key, the new item completely replaces
// the existing item. You can use conditional operators to replace an item
// only if its attribute values match certain conditions, or to insert a
// new item only if that item doesn't already exist.
//
// * UpdateItem - Modifies the attributes of an existing item. You can also
// use conditional operators to perform an update only if the item's attribute
// values match certain conditions.
//
// * DeleteItem - Deletes an item in a table by primary key. You can use
// conditional operators to perform a delete an item only if the item's attribute
// values match certain conditions.
//
// * BatchWriteItem - Performs multiple PutItem and DeleteItem requests across
// multiple tables in a single request. A failure of any request(s) in the
// batch will not cause the entire BatchWriteItem operation to fail. Supports
// batches of up to 25 items to put or delete, with a maximum total request
// size of 16 MB.
//
// For conceptual information about modifying data, see Working with Items (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithItems.html)
// and Query and Scan Operations (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/QueryAndScan.html)
// in the Amazon DynamoDB Developer Guide.
// DynamoDB automatically spreads the data and traffic for your tables over
// a sufficient number of servers to handle your throughput and storage requirements,
// while maintaining consistent and fast performance. All of your data is stored
// on solid state disks (SSDs) and automatically replicated across multiple
// Availability Zones in an AWS region, providing built-in high availability
// and data durability.
// The service client's operations are safe to be used concurrently.
// It is not safe to mutate any of the client's properties though.
// Please also see https://docs.aws.amazon.com/goto/WebAPI/dynamodb-2012-08-10