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api.go
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// THIS FILE IS AUTOMATICALLY GENERATED. DO NOT EDIT.
// Package dynamodb provides a client for Amazon DynamoDB.
package dynamodb
import (
"fmt"
"time"
"github.com/aws/aws-sdk-go/aws/awsutil"
"github.com/aws/aws-sdk-go/aws/request"
)
const opBatchGetItem = "BatchGetItem"
// BatchGetItemRequest generates a request for the BatchGetItem operation.
func (c *DynamoDB) BatchGetItemRequest(input *BatchGetItemInput) (req *request.Request, output *BatchGetItemOutput) {
op := &request.Operation{
Name: opBatchGetItem,
HTTPMethod: "POST",
HTTPPath: "/",
Paginator: &request.Paginator{
InputTokens: []string{"RequestItems"},
OutputTokens: []string{"UnprocessedKeys"},
LimitToken: "",
TruncationToken: "",
},
}
if input == nil {
input = &BatchGetItemInput{}
}
req = c.newRequest(op, input, output)
output = &BatchGetItemOutput{}
req.Data = output
return
}
// The BatchGetItem operation returns the attributes of one or more items from
// one or more tables. You identify requested items by primary key.
//
// A single operation can retrieve up to 16 MB of data, which can contain as
// many as 100 items. BatchGetItem will return 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 UnprocessedKeys. You can use this value to
// retry the operation starting with the next item to get.
//
// If you request more than 100 items BatchGetItem will return a ValidationException
// with the message "Too many items requested for the BatchGetItem call".
//
// 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 UnprocessedKeys 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 data set.
//
// If none of the items can be processed due to insufficient provisioned throughput
// on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException.
// If at least one of the items is successfully processed, then BatchGetItem
// completes successfully, while returning the keys of the unread items in UnprocessedKeys.
//
// 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 (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ErrorHandling.html#BatchOperations)
// in the Amazon DynamoDB Developer Guide.
//
// By default, BatchGetItem performs eventually consistent reads on every
// table in the request. If you want strongly consistent reads instead, you
// can set ConsistentRead to true for any or all tables.
//
// In order to minimize response latency, BatchGetItem retrieves items in parallel.
//
// 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 AttributesToGet
// parameter.
//
// 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 Capacity Units Calculations (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.html#CapacityUnitCalculations)
// in the Amazon DynamoDB Developer Guide.
func (c *DynamoDB) BatchGetItem(input *BatchGetItemInput) (*BatchGetItemOutput, error) {
req, out := c.BatchGetItemRequest(input)
err := req.Send()
return out, err
}
func (c *DynamoDB) BatchGetItemPages(input *BatchGetItemInput, fn func(p *BatchGetItemOutput, lastPage bool) (shouldContinue bool)) error {
page, _ := c.BatchGetItemRequest(input)
page.Handlers.Build.PushBack(request.MakeAddToUserAgentFreeFormHandler("Paginator"))
return page.EachPage(func(p interface{}, lastPage bool) bool {
return fn(p.(*BatchGetItemOutput), lastPage)
})
}
const opBatchWriteItem = "BatchWriteItem"
// BatchWriteItemRequest generates a request for the BatchWriteItem operation.
func (c *DynamoDB) BatchWriteItemRequest(input *BatchWriteItemInput) (req *request.Request, output *BatchWriteItemOutput) {
op := &request.Operation{
Name: opBatchWriteItem,
HTTPMethod: "POST",
HTTPPath: "/",
}
if input == nil {
input = &BatchWriteItemInput{}
}
req = c.newRequest(op, input, output)
output = &BatchWriteItemOutput{}
req.Data = output
return
}
// The BatchWriteItem operation puts or deletes multiple items in one or more
// tables. A single call to BatchWriteItem can write up to 16 MB of data, which
// can comprise as many as 25 put or delete requests. Individual items to be
// written can be as large as 400 KB.
//
// BatchWriteItem cannot update items. To update items, use the UpdateItem
// API.
//
// 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.
//
// Note that if none of the items can be processed due to insufficient provisioned
// throughput on all of the tables in the request, then BatchWriteItem will
// return a ProvisionedThroughputExceededException.
//
// 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 (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ErrorHandling.html#BatchOperations)
// in the Amazon DynamoDB Developer Guide.
//
// With BatchWriteItem, you can efficiently write or delete large amounts
// of data, such as from Amazon Elastic MapReduce (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 provides an alternative where the API 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:
//
// One or more tables specified in the BatchWriteItem request does not exist.
//
// Primary key attributes specified on an item in the request do not match
// those in the corresponding table's primary key schema.
//
// You try to perform multiple operations on the same item in the same BatchWriteItem
// request. For example, you cannot put and delete the same item in the same
// BatchWriteItem request.
//
// There are more than 25 requests in the batch.
//
// Any individual item in a batch exceeds 400 KB.
//
// The total request size exceeds 16 MB.
func (c *DynamoDB) BatchWriteItem(input *BatchWriteItemInput) (*BatchWriteItemOutput, error) {
req, out := c.BatchWriteItemRequest(input)
err := req.Send()
return out, err
}
const opCreateTable = "CreateTable"
// CreateTableRequest generates a request for the CreateTable operation.
func (c *DynamoDB) CreateTableRequest(input *CreateTableInput) (req *request.Request, output *CreateTableOutput) {
op := &request.Operation{
Name: opCreateTable,
HTTPMethod: "POST",
HTTPPath: "/",
}
if input == nil {
input = &CreateTableInput{}
}
req = c.newRequest(op, input, output)
output = &CreateTableOutput{}
req.Data = output
return
}
// The CreateTable operation adds a new table to your account. In an AWS account,
// table names must be unique within each region. That is, you can have two
// tables with same name if you create the tables in different regions.
//
// CreateTable is an asynchronous operation. Upon receiving a CreateTable
// request, DynamoDB immediately returns a response with a TableStatus of CREATING.
// After the table is created, DynamoDB sets the TableStatus to ACTIVE. You
// can perform read and write operations only on an ACTIVE table.
//
// You can optionally define secondary indexes on the new table, as part of
// the CreateTable operation. If you want to create multiple tables with secondary
// indexes on them, you must create the tables sequentially. Only one table
// with secondary indexes can be in the CREATING state at any given time.
//
// You can use the DescribeTable API to check the table status.
func (c *DynamoDB) CreateTable(input *CreateTableInput) (*CreateTableOutput, error) {
req, out := c.CreateTableRequest(input)
err := req.Send()
return out, err
}
const opDeleteItem = "DeleteItem"
// DeleteItemRequest generates a request for the DeleteItem operation.
func (c *DynamoDB) DeleteItemRequest(input *DeleteItemInput) (req *request.Request, output *DeleteItemOutput) {
op := &request.Operation{
Name: opDeleteItem,
HTTPMethod: "POST",
HTTPPath: "/",
}
if input == nil {
input = &DeleteItemInput{}
}
req = c.newRequest(op, input, output)
output = &DeleteItemOutput{}
req.Data = output
return
}
// Deletes a single item in a table by primary key. You can perform a conditional
// delete operation that deletes the item if it exists, or if it has an expected
// attribute value.
//
// In addition to deleting an item, you can also return the item's attribute
// values in the same operation, using the ReturnValues parameter.
//
// Unless you specify conditions, the DeleteItem is an idempotent operation;
// running it multiple times on the same item or attribute does not result in
// an error response.
//
// Conditional deletes are useful for deleting items only if specific conditions
// are met. If those conditions are met, DynamoDB performs the delete. Otherwise,
// the item is not deleted.
func (c *DynamoDB) DeleteItem(input *DeleteItemInput) (*DeleteItemOutput, error) {
req, out := c.DeleteItemRequest(input)
err := req.Send()
return out, err
}
const opDeleteTable = "DeleteTable"
// DeleteTableRequest generates a request for the DeleteTable operation.
func (c *DynamoDB) DeleteTableRequest(input *DeleteTableInput) (req *request.Request, output *DeleteTableOutput) {
op := &request.Operation{
Name: opDeleteTable,
HTTPMethod: "POST",
HTTPPath: "/",
}
if input == nil {
input = &DeleteTableInput{}
}
req = c.newRequest(op, input, output)
output = &DeleteTableOutput{}
req.Data = output
return
}
// The DeleteTable operation deletes a table and all of its items. After a DeleteTable
// request, the specified table is in the DELETING state until DynamoDB completes
// the deletion. If the table is in the ACTIVE state, you can delete it. If
// a table is in CREATING or UPDATING states, then DynamoDB returns a ResourceInUseException.
// If the specified table does not exist, DynamoDB returns a ResourceNotFoundException.
// If table is already in the DELETING state, no error is returned.
//
// DynamoDB might continue to accept data read and write operations, such
// as GetItem and PutItem, on a table in the DELETING state until the table
// deletion is complete.
//
// When you delete a table, any indexes on that table are also deleted.
//
// If you have DynamoDB Streams enabled on the table, then the corresponding
// stream on that table goes into the DISABLED state, and the stream is automatically
// deleted after 24 hours.
//
// Use the DescribeTable API to check the status of the table.
func (c *DynamoDB) DeleteTable(input *DeleteTableInput) (*DeleteTableOutput, error) {
req, out := c.DeleteTableRequest(input)
err := req.Send()
return out, err
}
const opDescribeLimits = "DescribeLimits"
// DescribeLimitsRequest generates a request for the DescribeLimits operation.
func (c *DynamoDB) DescribeLimitsRequest(input *DescribeLimitsInput) (req *request.Request, output *DescribeLimitsOutput) {
op := &request.Operation{
Name: opDescribeLimits,
HTTPMethod: "POST",
HTTPPath: "/",
}
if input == nil {
input = &DescribeLimitsInput{}
}
req = c.newRequest(op, input, output)
output = &DescribeLimitsOutput{}
req.Data = output
return
}
// Returns the current provisioned-capacity limits for your AWS account in a
// region, both for the region as a whole and for any one DynamoDB table that
// you create there.
//
// When you establish an AWS account, the account has initial limits on the
// maximum read capacity units and write capacity units that you can provision
// across all of your DynamoDB tables in a given region. Also, there are per-table
// limits that apply when you create a table there. For more information, see
// Limits (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Limits.html)
// page in the Amazon DynamoDB Developer Guide.
//
// Although you can increase these limits by filing a case at AWS Support Center
// (https://console.aws.amazon.com/support/home#/), obtaining the increase is
// not instantaneous. The DescribeLimits API lets you write code to compare
// the capacity you are currently using to those limits imposed by your account
// so that you have enough time to apply for an increase before you hit a limit.
//
// For example, you could use one of the AWS SDKs to do the following:
//
// Call DescribeLimits for a particular region to obtain your current account
// limits on provisioned capacity there.
//
// Create a variable to hold the aggregate read capacity units provisioned
// for all your tables in that region, and one to hold the aggregate write capacity
// units. Zero them both.
//
// Call ListTables to obtain a list of all your DynamoDB tables.
//
// For each table name listed by ListTables, do the following:
//
// Call DescribeTable with the table name.
//
// Use the data returned by DescribeTable to add the read capacity units and
// write capacity units provisioned for the table itself to your variables.
//
// If the table has one or more global secondary indexes (GSIs), loop over
// these GSIs and add their provisioned capacity values to your variables as
// well.
//
// Report the account limits for that region returned by DescribeLimits,
// along with the total current provisioned capacity levels you have calculated.
//
// This will let you see whether you are getting close to your account-level
// limits.
//
// The per-table limits apply only when you are creating a new table. They
// restrict the sum of the provisioned capacity of the new table itself and
// all its global secondary indexes.
//
// For existing tables and their GSIs, DynamoDB will not let you increase provisioned
// capacity extremely rapidly, but the only upper limit that applies is that
// the aggregate provisioned capacity over all your tables and GSIs cannot exceed
// either of the per-account limits.
//
// DescribeLimits should only be called periodically. You can expect throttling
// errors if you call it more than once in a minute.
//
// The DescribeLimits Request element has no content.
func (c *DynamoDB) DescribeLimits(input *DescribeLimitsInput) (*DescribeLimitsOutput, error) {
req, out := c.DescribeLimitsRequest(input)
err := req.Send()
return out, err
}
const opDescribeTable = "DescribeTable"
// DescribeTableRequest generates a request for the DescribeTable operation.
func (c *DynamoDB) DescribeTableRequest(input *DescribeTableInput) (req *request.Request, output *DescribeTableOutput) {
op := &request.Operation{
Name: opDescribeTable,
HTTPMethod: "POST",
HTTPPath: "/",
}
if input == nil {
input = &DescribeTableInput{}
}
req = c.newRequest(op, input, output)
output = &DescribeTableOutput{}
req.Data = output
return
}
// Returns information about the table, including the current status of the
// table, when it was created, the primary key schema, and any indexes on the
// table.
//
// If you issue a DescribeTable request immediately after a CreateTable request,
// DynamoDB might return a ResourceNotFoundException. This is because DescribeTable
// uses an eventually consistent query, and the metadata for your table might
// not be available at that moment. Wait for a few seconds, and then try the
// DescribeTable request again.
func (c *DynamoDB) DescribeTable(input *DescribeTableInput) (*DescribeTableOutput, error) {
req, out := c.DescribeTableRequest(input)
err := req.Send()
return out, err
}
const opGetItem = "GetItem"
// GetItemRequest generates a request for the GetItem operation.
func (c *DynamoDB) GetItemRequest(input *GetItemInput) (req *request.Request, output *GetItemOutput) {
op := &request.Operation{
Name: opGetItem,
HTTPMethod: "POST",
HTTPPath: "/",
}
if input == nil {
input = &GetItemInput{}
}
req = c.newRequest(op, input, output)
output = &GetItemOutput{}
req.Data = output
return
}
// The GetItem operation returns a set of attributes for the item with the given
// primary key. If there is no matching item, GetItem does not return any data.
//
// GetItem provides an eventually consistent read by default. If your application
// requires a strongly consistent read, set ConsistentRead to true. Although
// a strongly consistent read might take more time than an eventually consistent
// read, it always returns the last updated value.
func (c *DynamoDB) GetItem(input *GetItemInput) (*GetItemOutput, error) {
req, out := c.GetItemRequest(input)
err := req.Send()
return out, err
}
const opListTables = "ListTables"
// ListTablesRequest generates a request for the ListTables operation.
func (c *DynamoDB) ListTablesRequest(input *ListTablesInput) (req *request.Request, output *ListTablesOutput) {
op := &request.Operation{
Name: opListTables,
HTTPMethod: "POST",
HTTPPath: "/",
Paginator: &request.Paginator{
InputTokens: []string{"ExclusiveStartTableName"},
OutputTokens: []string{"LastEvaluatedTableName"},
LimitToken: "Limit",
TruncationToken: "",
},
}
if input == nil {
input = &ListTablesInput{}
}
req = c.newRequest(op, input, output)
output = &ListTablesOutput{}
req.Data = output
return
}
// Returns an array of table names associated with the current account and endpoint.
// The output from ListTables is paginated, with each page returning a maximum
// of 100 table names.
func (c *DynamoDB) ListTables(input *ListTablesInput) (*ListTablesOutput, error) {
req, out := c.ListTablesRequest(input)
err := req.Send()
return out, err
}
func (c *DynamoDB) ListTablesPages(input *ListTablesInput, fn func(p *ListTablesOutput, lastPage bool) (shouldContinue bool)) error {
page, _ := c.ListTablesRequest(input)
page.Handlers.Build.PushBack(request.MakeAddToUserAgentFreeFormHandler("Paginator"))
return page.EachPage(func(p interface{}, lastPage bool) bool {
return fn(p.(*ListTablesOutput), lastPage)
})
}
const opPutItem = "PutItem"
// PutItemRequest generates a request for the PutItem operation.
func (c *DynamoDB) PutItemRequest(input *PutItemInput) (req *request.Request, output *PutItemOutput) {
op := &request.Operation{
Name: opPutItem,
HTTPMethod: "POST",
HTTPPath: "/",
}
if input == nil {
input = &PutItemInput{}
}
req = c.newRequest(op, input, output)
output = &PutItemOutput{}
req.Data = output
return
}
// Creates a new item, or replaces an old item with a new item. If an item that
// has the same primary key as the new item already exists in the specified
// table, the new item completely replaces the existing item. You can perform
// a conditional put operation (add a new item if one with the specified primary
// key doesn't exist), or replace an existing item if it has certain attribute
// values.
//
// In addition to putting an item, you can also return the item's attribute
// values in the same operation, using the ReturnValues parameter.
//
// When you add an item, the primary key attribute(s) are the only required
// attributes. Attribute values cannot be null. String and Binary type attributes
// must have lengths greater than zero. Set type attributes cannot be empty.
// Requests with empty values will be rejected with a ValidationException exception.
//
// You can request that PutItem return either a copy of the original item (before
// the update) or a copy of the updated item (after the update). For more information,
// see the ReturnValues description below.
//
// To prevent a new item from replacing an existing item, use a conditional
// expression that contains the attribute_not_exists function with the name
// of the attribute being used as the partition key for the table. Since every
// record must contain that attribute, the attribute_not_exists function will
// only succeed if no matching item exists.
//
// For more information about using this API, see Working with Items (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithItems.html)
// in the Amazon DynamoDB Developer Guide.
func (c *DynamoDB) PutItem(input *PutItemInput) (*PutItemOutput, error) {
req, out := c.PutItemRequest(input)
err := req.Send()
return out, err
}
const opQuery = "Query"
// QueryRequest generates a request for the Query operation.
func (c *DynamoDB) QueryRequest(input *QueryInput) (req *request.Request, output *QueryOutput) {
op := &request.Operation{
Name: opQuery,
HTTPMethod: "POST",
HTTPPath: "/",
Paginator: &request.Paginator{
InputTokens: []string{"ExclusiveStartKey"},
OutputTokens: []string{"LastEvaluatedKey"},
LimitToken: "Limit",
TruncationToken: "",
},
}
if input == nil {
input = &QueryInput{}
}
req = c.newRequest(op, input, output)
output = &QueryOutput{}
req.Data = output
return
}
// A Query operation uses the primary key of a table or a secondary index to
// directly access items from that table or index.
//
// Use the KeyConditionExpression parameter to provide a specific value for
// the partition key. The Query operation will return all of the items from
// the table or index with that partition key value. You can optionally narrow
// the scope of the Query operation by specifying a sort key value and a comparison
// operator in KeyConditionExpression. You can use the ScanIndexForward parameter
// to get results in forward or reverse order, by sort key.
//
// Queries that do not return results consume the minimum number of read capacity
// units for that type of read operation.
//
// If the total number of items meeting the query criteria exceeds the result
// set size limit of 1 MB, the query stops and results are returned to the user
// with the LastEvaluatedKey element to continue the query in a subsequent operation.
// Unlike a Scan operation, a Query operation never returns both an empty result
// set and a LastEvaluatedKey value. LastEvaluatedKey is only provided if you
// have used the Limit parameter, or if the result set exceeds 1 MB (prior to
// applying a filter).
//
// You can query a table, a local secondary index, or a global secondary index.
// For a query on a table or on a local secondary index, you can set the ConsistentRead
// parameter to true and obtain a strongly consistent result. Global secondary
// indexes support eventually consistent reads only, so do not specify ConsistentRead
// when querying a global secondary index.
func (c *DynamoDB) Query(input *QueryInput) (*QueryOutput, error) {
req, out := c.QueryRequest(input)
err := req.Send()
return out, err
}
func (c *DynamoDB) QueryPages(input *QueryInput, fn func(p *QueryOutput, lastPage bool) (shouldContinue bool)) error {
page, _ := c.QueryRequest(input)
page.Handlers.Build.PushBack(request.MakeAddToUserAgentFreeFormHandler("Paginator"))
return page.EachPage(func(p interface{}, lastPage bool) bool {
return fn(p.(*QueryOutput), lastPage)
})
}
const opScan = "Scan"
// ScanRequest generates a request for the Scan operation.
func (c *DynamoDB) ScanRequest(input *ScanInput) (req *request.Request, output *ScanOutput) {
op := &request.Operation{
Name: opScan,
HTTPMethod: "POST",
HTTPPath: "/",
Paginator: &request.Paginator{
InputTokens: []string{"ExclusiveStartKey"},
OutputTokens: []string{"LastEvaluatedKey"},
LimitToken: "Limit",
TruncationToken: "",
},
}
if input == nil {
input = &ScanInput{}
}
req = c.newRequest(op, input, output)
output = &ScanOutput{}
req.Data = output
return
}
// The Scan operation returns one or more items and item attributes by accessing
// every item in a table or a secondary index. To have DynamoDB return fewer
// items, you can provide a ScanFilter operation.
//
// If the total number of scanned items exceeds the maximum data set size limit
// of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey
// value to continue the scan in a subsequent operation. The results also include
// the number of items exceeding the limit. A scan can result in no table data
// meeting the filter criteria.
//
// By default, Scan operations proceed sequentially; however, for faster performance
// on a large table or secondary index, applications can request a parallel
// Scan operation by providing the Segment and TotalSegments parameters. For
// more information, see Parallel Scan (http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/QueryAndScan.html#QueryAndScanParallelScan)
// in the Amazon DynamoDB Developer Guide.
//
// By default, Scan uses eventually consistent reads when accessing the data
// in a table; therefore, the result set might not include the changes to data
// in the table immediately before the operation began. If you need a consistent
// copy of the data, as of the time that the Scan begins, you can set the ConsistentRead
// parameter to true.
func (c *DynamoDB) Scan(input *ScanInput) (*ScanOutput, error) {
req, out := c.ScanRequest(input)
err := req.Send()
return out, err
}
func (c *DynamoDB) ScanPages(input *ScanInput, fn func(p *ScanOutput, lastPage bool) (shouldContinue bool)) error {
page, _ := c.ScanRequest(input)
page.Handlers.Build.PushBack(request.MakeAddToUserAgentFreeFormHandler("Paginator"))
return page.EachPage(func(p interface{}, lastPage bool) bool {
return fn(p.(*ScanOutput), lastPage)
})
}
const opUpdateItem = "UpdateItem"
// UpdateItemRequest generates a request for the UpdateItem operation.
func (c *DynamoDB) UpdateItemRequest(input *UpdateItemInput) (req *request.Request, output *UpdateItemOutput) {
op := &request.Operation{
Name: opUpdateItem,
HTTPMethod: "POST",
HTTPPath: "/",
}
if input == nil {
input = &UpdateItemInput{}
}
req = c.newRequest(op, input, output)
output = &UpdateItemOutput{}
req.Data = output
return
}
// Edits an existing item's attributes, or adds a new item to the table if it
// does not already exist. You can put, delete, or add attribute values. You
// can also perform a conditional update on an existing item (insert a new attribute
// name-value pair if it doesn't exist, or replace an existing name-value pair
// if it has certain expected attribute values).
//
// You can also return the item's attribute values in the same UpdateItem operation
// using the ReturnValues parameter.
func (c *DynamoDB) UpdateItem(input *UpdateItemInput) (*UpdateItemOutput, error) {
req, out := c.UpdateItemRequest(input)
err := req.Send()
return out, err
}
const opUpdateTable = "UpdateTable"
// UpdateTableRequest generates a request for the UpdateTable operation.
func (c *DynamoDB) UpdateTableRequest(input *UpdateTableInput) (req *request.Request, output *UpdateTableOutput) {
op := &request.Operation{
Name: opUpdateTable,
HTTPMethod: "POST",
HTTPPath: "/",
}
if input == nil {
input = &UpdateTableInput{}
}
req = c.newRequest(op, input, output)
output = &UpdateTableOutput{}
req.Data = output
return
}
// Modifies the provisioned throughput settings, global secondary indexes, or
// DynamoDB Streams settings for a given table.
//
// You can only perform one of the following operations at once:
//
// Modify the provisioned throughput settings of the table.
//
// Enable or disable Streams on the table.
//
// Remove a global secondary index from the table.
//
// Create a new global secondary index on the table. Once the index begins
// backfilling, you can use UpdateTable to perform other operations.
//
// UpdateTable is an asynchronous operation; while it is executing, the
// table status changes from ACTIVE to UPDATING. While it is UPDATING, you cannot
// issue another UpdateTable request. When the table returns to the ACTIVE state,
// the UpdateTable operation is complete.
func (c *DynamoDB) UpdateTable(input *UpdateTableInput) (*UpdateTableOutput, error) {
req, out := c.UpdateTableRequest(input)
err := req.Send()
return out, err
}
// Represents an attribute for describing the key schema for the table and indexes.
type AttributeDefinition struct {
_ struct{} `type:"structure"`
// A name for the attribute.
AttributeName *string `min:"1" type:"string" required:"true"`
// The data type for the attribute, where:
//
// S - the attribute is of type String
//
// N - the attribute is of type Number
//
// B - the attribute is of type Binary
AttributeType *string `type:"string" required:"true" enum:"ScalarAttributeType"`
}
// String returns the string representation
func (s AttributeDefinition) String() string {
return awsutil.Prettify(s)
}
// GoString returns the string representation
func (s AttributeDefinition) GoString() string {
return s.String()
}
// Validate inspects the fields of the type to determine if they are valid.
func (s *AttributeDefinition) Validate() error {
invalidParams := request.ErrInvalidParams{Context: "AttributeDefinition"}
if s.AttributeName == nil {
invalidParams.Add(request.NewErrParamRequired("AttributeName"))
}
if s.AttributeName != nil && len(*s.AttributeName) < 1 {
invalidParams.Add(request.NewErrParamMinLen("AttributeName", 1))
}
if s.AttributeType == nil {
invalidParams.Add(request.NewErrParamRequired("AttributeType"))
}
if invalidParams.Len() > 0 {
return invalidParams
}
return nil
}
// Represents the data for an attribute. You can set one, and only one, of the
// elements.
//
// Each attribute in an item is a name-value pair. An attribute can be single-valued
// or multi-valued set. For example, a book item can have title and authors
// attributes. Each book has one title but can have many authors. The multi-valued
// attribute is a set; duplicate values are not allowed.
type AttributeValue struct {
_ struct{} `type:"structure"`
// A Binary data type.
//
// B is automatically base64 encoded/decoded by the SDK.
B []byte `type:"blob"`
// A Boolean data type.
BOOL *bool `type:"boolean"`
// A Binary Set data type.
BS [][]byte `type:"list"`
// A List of attribute values.
L []*AttributeValue `type:"list"`
// A Map of attribute values.
M map[string]*AttributeValue `type:"map"`
// A Number data type.
N *string `type:"string"`
// A Number Set data type.
NS []*string `type:"list"`
// A Null data type.
NULL *bool `type:"boolean"`
// A String data type.
S *string `type:"string"`
// A String Set data type.
SS []*string `type:"list"`
}
// String returns the string representation
func (s AttributeValue) String() string {
return awsutil.Prettify(s)
}
// GoString returns the string representation
func (s AttributeValue) GoString() string {
return s.String()
}
// For the UpdateItem operation, represents the attributes to be modified, the
// action to perform on each, and the new value for each.
//
// You cannot use UpdateItem to update any primary key attributes. Instead,
// you will need to delete the item, and then use PutItem to create a new item
// with new attributes.
//
// Attribute values cannot be null; string and binary type attributes must
// have lengths greater than zero; and set type attributes must not be empty.
// Requests with empty values will be rejected with a ValidationException exception.
type AttributeValueUpdate struct {
_ struct{} `type:"structure"`
// Specifies how to perform the update. Valid values are PUT (default), DELETE,
// and ADD. The behavior depends on whether the specified primary key already
// exists in the table.
//
// If an item with the specified Key is found in the table:
//
// PUT - Adds the specified attribute to the item. If the attribute already
// exists, it is replaced by the new value.
//
// DELETE - If no value is specified, the attribute and its value are removed
// from the item. The data type of the specified value must match the existing
// value's data type.
//
// If a set of values is specified, then those values are subtracted from the
// old set. For example, if the attribute value was the set [a,b,c] and the
// DELETE action specified [a,c], then the final attribute value would be [b].
// Specifying an empty set is an error.
//
// ADD - If the attribute does not already exist, then the attribute and
// its values are added to the item. If the attribute does exist, then the behavior
// of ADD depends on the data type of the attribute:
//
// If the existing attribute is a number, and if Value is also a number,
// then the Value is mathematically added to the existing attribute. If Value
// is a negative number, then it is subtracted from the existing attribute.
//
// If you use ADD to increment or decrement a number value for an item that
// doesn't exist before the update, DynamoDB uses 0 as the initial value.
//
// In addition, if you use ADD to update an existing item, and intend to increment
// or decrement an attribute value which does not yet exist, DynamoDB uses 0
// as the initial value. For example, suppose that the item you want to update
// does not yet have an attribute named itemcount, but you decide to ADD the
// number 3 to this attribute anyway, even though it currently does not exist.
// DynamoDB will create the itemcount attribute, set its initial value to 0,
// and finally add 3 to it. The result will be a new itemcount attribute in
// the item, with a value of 3.
//
// If the existing data type is a set, and if the Value is also a set, then
// the Value is added to the existing set. (This is a set operation, not mathematical
// addition.) For example, if the attribute value was the set [1,2], and the
// ADD action specified [3], then the final attribute value would be [1,2,3].
// An error occurs if an Add action is specified for a set attribute and the
// attribute type specified does not match the existing set type.
//
// Both sets must have the same primitive data type. For example, if the existing
// data type is a set of strings, the Value must also be a set of strings. The
// same holds true for number sets and binary sets.
//
// This action is only valid for an existing attribute whose data type is
// number or is a set. Do not use ADD for any other data types.
//
// If no item with the specified Key is found:
//
// PUT - DynamoDB creates a new item with the specified primary key, and
// then adds the attribute.
//
// DELETE - Nothing happens; there is no attribute to delete.
//
// ADD - DynamoDB creates an item with the supplied primary key and number
// (or set of numbers) for the attribute value. The only data types allowed
// are number and number set; no other data types can be specified.
Action *string `type:"string" enum:"AttributeAction"`
// Represents the data for an attribute. You can set one, and only one, of the
// elements.
//
// Each attribute in an item is a name-value pair. An attribute can be single-valued
// or multi-valued set. For example, a book item can have title and authors
// attributes. Each book has one title but can have many authors. The multi-valued
// attribute is a set; duplicate values are not allowed.
Value *AttributeValue `type:"structure"`
}
// String returns the string representation
func (s AttributeValueUpdate) String() string {
return awsutil.Prettify(s)
}
// GoString returns the string representation
func (s AttributeValueUpdate) GoString() string {
return s.String()
}
// Represents the input of a BatchGetItem operation.
type BatchGetItemInput struct {
_ struct{} `type:"structure"`
// A map of one or more table names and, for each table, a map that describes
// one or more items to retrieve from that table. Each table name can be used
// only once per BatchGetItem request.
//
// Each element in the map of items to retrieve consists of the following:
//
// ConsistentRead - If true, a strongly consistent read is used; if false
// (the default), an eventually consistent read is used.
//
// ExpressionAttributeNames - One or more substitution tokens for attribute
// names in the ProjectionExpression parameter. The following are some use cases
// for using ExpressionAttributeNames:
//
// To access an attribute whose name conflicts with a DynamoDB reserved word.
//
// To create a placeholder for repeating occurrences of an attribute name
// in an expression.
//
// To prevent special characters in an attribute name from being misinterpreted
// in an expression.
//
// Use the # character in an expression to dereference an attribute name.
// For example, consider the following attribute name:
//
// Percentile