Doc AWS SDK 예제 GitHub 리포지토리에서 더 많은 SDK 예제를 사용할 수 있습니다. AWS
기계 번역으로 제공되는 번역입니다. 제공된 번역과 원본 영어의 내용이 상충하는 경우에는 영어 버전이 우선합니다.
SDK for Swift 사용한 DynamoDB 자격 증명 예제
다음 코드 예제에서는 DynamoDB와 함께 AWS SDK for Swift를 사용하여 작업을 수행하고 일반적인 시나리오를 구현하는 방법을 보여줍니다.
기본 사항은 서비스 내에서 필수 작업을 수행하는 방법을 보여주는 코드 예제입니다.
작업은 대규모 프로그램에서 발췌한 코드이며 컨텍스트에 맞춰 실행해야 합니다. 작업은 관련 시나리오의 컨텍스트에 따라 표시되며, 개별 서비스 함수를 직접적으로 호출하는 방법을 보여줍니다.
각 예제에는 컨텍스트에서 코드를 설정하고 실행하는 방법에 대한 지침을 찾을 수 있는 전체 소스 코드에 대한 링크가 포함되어 있습니다.
기본 사항
다음 코드 예제는 다음과 같은 작업을 수행하는 방법을 보여줍니다.
영화 데이터를 저장할 수 있는 테이블을 생성합니다.
테이블에 하나의 영화를 추가하고 가져오고 업데이트합니다.
샘플 JSON 파일에서 테이블에 영화 데이터를 씁니다.
특정 연도에 개봉된 영화를 쿼리합니다.
특정 연도 범위 동안 개봉된 영화를 스캔합니다.
테이블에서 영화를 삭제한 다음, 테이블을 삭제합니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. SDK for Swift에 대한 DynamoDB 호출을 처리하는 Swift 클래스입니다.
import AWSDynamoDB import Foundation /// An enumeration of error codes representing issues that can arise when using /// the `MovieTable` class. enum MoviesError: Error { /// The specified table wasn't found or couldn't be created. case TableNotFound /// The specified item wasn't found or couldn't be created. case ItemNotFound /// The Amazon DynamoDB client is not properly initialized. case UninitializedClient /// The table status reported by Amazon DynamoDB is not recognized. case StatusUnknown /// One or more specified attribute values are invalid or missing. case InvalidAttributes } /// A class representing an Amazon DynamoDB table containing movie /// information. public class MovieTable { var ddbClient: DynamoDBClient? let tableName: String /// Create an object representing a movie table in an Amazon DynamoDB /// database. /// /// - Parameters: /// - region: The optional Amazon Region to create the database in. /// - tableName: The name to assign to the table. If not specified, a /// random table name is generated automatically. /// /// > Note: The table is not necessarily available when this function /// returns. Use `tableExists()` to check for its availability, or /// `awaitTableActive()` to wait until the table's status is reported as /// ready to use by Amazon DynamoDB. /// init(region: String? = nil, tableName: String) async throws { do { let config = try await DynamoDBClient.DynamoDBClientConfiguration() if let region = region { config.region = region } self.ddbClient = DynamoDBClient(config: config) self.tableName = tableName try await self.createTable() } catch { print("ERROR: ", dump(error, name: "Initializing Amazon DynamoDBClient client")) throw error } } /// /// Create a movie table in the Amazon DynamoDB data store. /// private func createTable() async throws { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = CreateTableInput( attributeDefinitions: [ DynamoDBClientTypes.AttributeDefinition(attributeName: "year", attributeType: .n), DynamoDBClientTypes.AttributeDefinition(attributeName: "title", attributeType: .s) ], keySchema: [ DynamoDBClientTypes.KeySchemaElement(attributeName: "year", keyType: .hash), DynamoDBClientTypes.KeySchemaElement(attributeName: "title", keyType: .range) ], provisionedThroughput: DynamoDBClientTypes.ProvisionedThroughput( readCapacityUnits: 10, writeCapacityUnits: 10 ), tableName: self.tableName ) let output = try await client.createTable(input: input) if output.tableDescription == nil { throw MoviesError.TableNotFound } } catch { print("ERROR: createTable:", dump(error)) throw error } } /// Check to see if the table exists online yet. /// /// - Returns: `true` if the table exists, or `false` if not. /// func tableExists() async throws -> Bool { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = DescribeTableInput( tableName: tableName ) let output = try await client.describeTable(input: input) guard let description = output.table else { throw MoviesError.TableNotFound } return description.tableName == self.tableName } catch { print("ERROR: tableExists:", dump(error)) throw error } } /// /// Waits for the table to exist and for its status to be active. /// func awaitTableActive() async throws { while try (await self.tableExists() == false) { do { let duration = UInt64(0.25 * 1_000_000_000) // Convert .25 seconds to nanoseconds. try await Task.sleep(nanoseconds: duration) } catch { print("Sleep error:", dump(error)) } } while try (await self.getTableStatus() != .active) { do { let duration = UInt64(0.25 * 1_000_000_000) // Convert .25 seconds to nanoseconds. try await Task.sleep(nanoseconds: duration) } catch { print("Sleep error:", dump(error)) } } } /// /// Deletes the table from Amazon DynamoDB. /// func deleteTable() async throws { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = DeleteTableInput( tableName: self.tableName ) _ = try await client.deleteTable(input: input) } catch { print("ERROR: deleteTable:", dump(error)) throw error } } /// Get the table's status. /// /// - Returns: The table status, as defined by the /// `DynamoDBClientTypes.TableStatus` enum. /// func getTableStatus() async throws -> DynamoDBClientTypes.TableStatus { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = DescribeTableInput( tableName: self.tableName ) let output = try await client.describeTable(input: input) guard let description = output.table else { throw MoviesError.TableNotFound } guard let status = description.tableStatus else { throw MoviesError.StatusUnknown } return status } catch { print("ERROR: getTableStatus:", dump(error)) throw error } } /// Populate the movie database from the specified JSON file. /// /// - Parameter jsonPath: Path to a JSON file containing movie data. /// func populate(jsonPath: String) async throws { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } // Create a Swift `URL` and use it to load the file into a `Data` // object. Then decode the JSON into an array of `Movie` objects. let fileUrl = URL(fileURLWithPath: jsonPath) let jsonData = try Data(contentsOf: fileUrl) var movieList = try JSONDecoder().decode([Movie].self, from: jsonData) // Truncate the list to the first 200 entries or so for this example. if movieList.count > 200 { movieList = Array(movieList[...199]) } // Before sending records to the database, break the movie list into // 25-entry chunks, which is the maximum size of a batch item request. let count = movieList.count let chunks = stride(from: 0, to: count, by: 25).map { Array(movieList[$0 ..< Swift.min($0 + 25, count)]) } // For each chunk, create a list of write request records and populate // them with `PutRequest` requests, each specifying one movie from the // chunk. Once the chunk's items are all in the `PutRequest` list, // send them to Amazon DynamoDB using the // `DynamoDBClient.batchWriteItem()` function. for chunk in chunks { var requestList: [DynamoDBClientTypes.WriteRequest] = [] for movie in chunk { let item = try await movie.getAsItem() let request = DynamoDBClientTypes.WriteRequest( putRequest: .init( item: item ) ) requestList.append(request) } let input = BatchWriteItemInput(requestItems: [tableName: requestList]) _ = try await client.batchWriteItem(input: input) } } catch { print("ERROR: populate:", dump(error)) throw error } } /// Add a movie specified as a `Movie` structure to the Amazon DynamoDB /// table. /// /// - Parameter movie: The `Movie` to add to the table. /// func add(movie: Movie) async throws { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } // Get a DynamoDB item containing the movie data. let item = try await movie.getAsItem() // Send the `PutItem` request to Amazon DynamoDB. let input = PutItemInput( item: item, tableName: self.tableName ) _ = try await client.putItem(input: input) } catch { print("ERROR: add movie:", dump(error)) throw error } } /// Given a movie's details, add a movie to the Amazon DynamoDB table. /// /// - Parameters: /// - title: The movie's title as a `String`. /// - year: The release year of the movie (`Int`). /// - rating: The movie's rating if available (`Double`; default is /// `nil`). /// - plot: A summary of the movie's plot (`String`; default is `nil`, /// indicating no plot summary is available). /// func add(title: String, year: Int, rating: Double? = nil, plot: String? = nil) async throws { do { let movie = Movie(title: title, year: year, rating: rating, plot: plot) try await self.add(movie: movie) } catch { print("ERROR: add with fields:", dump(error)) throw error } } /// Return a `Movie` record describing the specified movie from the Amazon /// DynamoDB table. /// /// - Parameters: /// - title: The movie's title (`String`). /// - year: The movie's release year (`Int`). /// /// - Throws: `MoviesError.ItemNotFound` if the movie isn't in the table. /// /// - Returns: A `Movie` record with the movie's details. func get(title: String, year: Int) async throws -> Movie { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = GetItemInput( key: [ "year": .n(String(year)), "title": .s(title) ], tableName: self.tableName ) let output = try await client.getItem(input: input) guard let item = output.item else { throw MoviesError.ItemNotFound } let movie = try Movie(withItem: item) return movie } catch { print("ERROR: get:", dump(error)) throw error } } /// Get all the movies released in the specified year. /// /// - Parameter year: The release year of the movies to return. /// /// - Returns: An array of `Movie` objects describing each matching movie. /// func getMovies(fromYear year: Int) async throws -> [Movie] { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = QueryInput( expressionAttributeNames: [ "#y": "year" ], expressionAttributeValues: [ ":y": .n(String(year)) ], keyConditionExpression: "#y = :y", tableName: self.tableName ) // Use "Paginated" to get all the movies. // This lets the SDK handle the 'lastEvaluatedKey' property in "QueryOutput". let pages = client.queryPaginated(input: input) var movieList: [Movie] = [] for try await page in pages { guard let items = page.items else { print("Error: no items returned.") continue } // Convert the found movies into `Movie` objects and return an array // of them. for item in items { let movie = try Movie(withItem: item) movieList.append(movie) } } return movieList } catch { print("ERROR: getMovies:", dump(error)) throw error } } /// Return an array of `Movie` objects released in the specified range of /// years. /// /// - Parameters: /// - firstYear: The first year of movies to return. /// - lastYear: The last year of movies to return. /// - startKey: A starting point to resume processing; always use `nil`. /// /// - Returns: An array of `Movie` objects describing the matching movies. /// /// > Note: The `startKey` parameter is used by this function when /// recursively calling itself, and should always be `nil` when calling /// directly. /// func getMovies(firstYear: Int, lastYear: Int, startKey: [Swift.String: DynamoDBClientTypes.AttributeValue]? = nil) async throws -> [Movie] { do { var movieList: [Movie] = [] guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = ScanInput( consistentRead: true, exclusiveStartKey: startKey, expressionAttributeNames: [ "#y": "year" // `year` is a reserved word, so use `#y` instead. ], expressionAttributeValues: [ ":y1": .n(String(firstYear)), ":y2": .n(String(lastYear)) ], filterExpression: "#y BETWEEN :y1 AND :y2", tableName: self.tableName ) let pages = client.scanPaginated(input: input) for try await page in pages { guard let items = page.items else { print("Error: no items returned.") continue } // Build an array of `Movie` objects for the returned items. for item in items { let movie = try Movie(withItem: item) movieList.append(movie) } } return movieList } catch { print("ERROR: getMovies with scan:", dump(error)) throw error } } /// Update the specified movie with new `rating` and `plot` information. /// /// - Parameters: /// - title: The title of the movie to update. /// - year: The release year of the movie to update. /// - rating: The new rating for the movie. /// - plot: The new plot summary string for the movie. /// /// - Returns: An array of mappings of attribute names to their new /// listing each item actually changed. Items that didn't need to change /// aren't included in this list. `nil` if no changes were made. /// func update(title: String, year: Int, rating: Double? = nil, plot: String? = nil) async throws -> [Swift.String: DynamoDBClientTypes.AttributeValue]? { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } // Build the update expression and the list of expression attribute // values. Include only the information that's changed. var expressionParts: [String] = [] var attrValues: [Swift.String: DynamoDBClientTypes.AttributeValue] = [:] if rating != nil { expressionParts.append("info.rating=:r") attrValues[":r"] = .n(String(rating!)) } if plot != nil { expressionParts.append("info.plot=:p") attrValues[":p"] = .s(plot!) } let expression = "set \(expressionParts.joined(separator: ", "))" let input = UpdateItemInput( // Create substitution tokens for the attribute values, to ensure // no conflicts in expression syntax. expressionAttributeValues: attrValues, // The key identifying the movie to update consists of the release // year and title. key: [ "year": .n(String(year)), "title": .s(title) ], returnValues: .updatedNew, tableName: self.tableName, updateExpression: expression ) let output = try await client.updateItem(input: input) guard let attributes: [Swift.String: DynamoDBClientTypes.AttributeValue] = output.attributes else { throw MoviesError.InvalidAttributes } return attributes } catch { print("ERROR: update:", dump(error)) throw error } } /// Delete a movie, given its title and release year. /// /// - Parameters: /// - title: The movie's title. /// - year: The movie's release year. /// func delete(title: String, year: Int) async throws { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = DeleteItemInput( key: [ "year": .n(String(year)), "title": .s(title) ], tableName: self.tableName ) _ = try await client.deleteItem(input: input) } catch { print("ERROR: delete:", dump(error)) throw error } } }
MovieTable 클래스에서 동영상을 나타내는 데 사용하는 구조입니다.
import Foundation import AWSDynamoDB /// The optional details about a movie. public struct Details: Codable { /// The movie's rating, if available. var rating: Double? /// The movie's plot, if available. var plot: String? } /// A structure describing a movie. The `year` and `title` properties are /// required and are used as the key for Amazon DynamoDB operations. The /// `info` sub-structure's two properties, `rating` and `plot`, are optional. public struct Movie: Codable { /// The year in which the movie was released. var year: Int /// The movie's title. var title: String /// A `Details` object providing the optional movie rating and plot /// information. var info: Details /// Create a `Movie` object representing a movie, given the movie's /// details. /// /// - Parameters: /// - title: The movie's title (`String`). /// - year: The year in which the movie was released (`Int`). /// - rating: The movie's rating (optional `Double`). /// - plot: The movie's plot (optional `String`) init(title: String, year: Int, rating: Double? = nil, plot: String? = nil) { self.title = title self.year = year self.info = Details(rating: rating, plot: plot) } /// Create a `Movie` object representing a movie, given the movie's /// details. /// /// - Parameters: /// - title: The movie's title (`String`). /// - year: The year in which the movie was released (`Int`). /// - info: The optional rating and plot information for the movie in a /// `Details` object. init(title: String, year: Int, info: Details?){ self.title = title self.year = year if info != nil { self.info = info! } else { self.info = Details(rating: nil, plot: nil) } } /// /// Return a new `MovieTable` object, given an array mapping string to Amazon /// DynamoDB attribute values. /// /// - Parameter item: The item information provided to the form used by /// DynamoDB. This is an array of strings mapped to /// `DynamoDBClientTypes.AttributeValue` values. init(withItem item: [Swift.String:DynamoDBClientTypes.AttributeValue]) throws { // Read the attributes. guard let titleAttr = item["title"], let yearAttr = item["year"] else { throw MoviesError.ItemNotFound } let infoAttr = item["info"] ?? nil // Extract the values of the title and year attributes. if case .s(let titleVal) = titleAttr { self.title = titleVal } else { throw MoviesError.InvalidAttributes } if case .n(let yearVal) = yearAttr { self.year = Int(yearVal)! } else { throw MoviesError.InvalidAttributes } // Extract the rating and/or plot from the `info` attribute, if // they're present. var rating: Double? = nil var plot: String? = nil if infoAttr != nil, case .m(let infoVal) = infoAttr { let ratingAttr = infoVal["rating"] ?? nil let plotAttr = infoVal["plot"] ?? nil if ratingAttr != nil, case .n(let ratingVal) = ratingAttr { rating = Double(ratingVal) ?? nil } if plotAttr != nil, case .s(let plotVal) = plotAttr { plot = plotVal } } self.info = Details(rating: rating, plot: plot) } /// /// Return an array mapping attribute names to Amazon DynamoDB attribute /// values, representing the contents of the `Movie` record as a DynamoDB /// item. /// /// - Returns: The movie item as an array of type /// `[Swift.String:DynamoDBClientTypes.AttributeValue]`. /// func getAsItem() async throws -> [Swift.String:DynamoDBClientTypes.AttributeValue] { // Build the item record, starting with the year and title, which are // always present. var item: [Swift.String:DynamoDBClientTypes.AttributeValue] = [ "year": .n(String(self.year)), "title": .s(self.title) ] // Add the `info` field with the rating and/or plot if they're // available. var details: [Swift.String:DynamoDBClientTypes.AttributeValue] = [:] if (self.info.rating != nil || self.info.plot != nil) { if self.info.rating != nil { details["rating"] = .n(String(self.info.rating!)) } if self.info.plot != nil { details["plot"] = .s(self.info.plot!) } } item["info"] = .m(details) return item } }
MovieTable 클래스를 사용하여 DynamoDB 데이터베이스에 액세스하는 프로그램입니다.
import ArgumentParser import ClientRuntime import Foundation import AWSDynamoDB @testable import MovieList extension String { // Get the directory if the string is a file path. func directory() -> String { guard let lastIndex = lastIndex(of: "/") else { print("Error: String directory separator not found.") return "" } return String(self[...lastIndex]) } } struct ExampleCommand: ParsableCommand { @Argument(help: "The path of the sample movie data JSON file.") var jsonPath: String = #file.directory() + "../../../../../resources/sample_files/movies.json" @Option(help: "The AWS Region to run AWS API calls in.") var awsRegion: String? @Option( help: ArgumentHelp("The level of logging for the Swift SDK to perform."), completion: .list([ "critical", "debug", "error", "info", "notice", "trace", "warning" ]) ) var logLevel: String = "error" /// Configuration details for the command. static var configuration = CommandConfiguration( commandName: "basics", abstract: "A basic scenario demonstrating the usage of Amazon DynamoDB.", discussion: """ An example showing how to use Amazon DynamoDB to perform a series of common database activities on a simple movie database. """ ) /// Called by ``main()`` to asynchronously run the AWS example. func runAsync() async throws { print("Welcome to the AWS SDK for Swift basic scenario for Amazon DynamoDB!") //===================================================================== // 1. Create the table. The Amazon DynamoDB table is represented by // the `MovieTable` class. //===================================================================== let tableName = "ddb-movies-sample-\(Int.random(in: 1 ... Int.max))" print("Creating table \"\(tableName)\"...") let movieDatabase = try await MovieTable(region: awsRegion, tableName: tableName) print("\nWaiting for table to be ready to use...") try await movieDatabase.awaitTableActive() //===================================================================== // 2. Add a movie to the table. //===================================================================== print("\nAdding a movie...") try await movieDatabase.add(title: "Avatar: The Way of Water", year: 2022) try await movieDatabase.add(title: "Not a Real Movie", year: 2023) //===================================================================== // 3. Update the plot and rating of the movie using an update // expression. //===================================================================== print("\nAdding details to the added movie...") _ = try await movieDatabase.update(title: "Avatar: The Way of Water", year: 2022, rating: 9.2, plot: "It's a sequel.") //===================================================================== // 4. Populate the table from the JSON file. //===================================================================== print("\nPopulating the movie database from JSON...") try await movieDatabase.populate(jsonPath: jsonPath) //===================================================================== // 5. Get a specific movie by key. In this example, the key is a // combination of `title` and `year`. //===================================================================== print("\nLooking for a movie in the table...") let gotMovie = try await movieDatabase.get(title: "This Is the End", year: 2013) print("Found the movie \"\(gotMovie.title)\", released in \(gotMovie.year).") print("Rating: \(gotMovie.info.rating ?? 0.0).") print("Plot summary: \(gotMovie.info.plot ?? "None.")") //===================================================================== // 6. Delete a movie. //===================================================================== print("\nDeleting the added movie...") try await movieDatabase.delete(title: "Avatar: The Way of Water", year: 2022) //===================================================================== // 7. Use a query with a key condition expression to return all movies // released in a given year. //===================================================================== print("\nGetting movies released in 1994...") let movieList = try await movieDatabase.getMovies(fromYear: 1994) for movie in movieList { print(" \(movie.title)") } //===================================================================== // 8. Use `scan()` to return movies released in a range of years. //===================================================================== print("\nGetting movies released between 1993 and 1997...") let scannedMovies = try await movieDatabase.getMovies(firstYear: 1993, lastYear: 1997) for movie in scannedMovies { print(" \(movie.title) (\(movie.year))") } //===================================================================== // 9. Delete the table. //===================================================================== print("\nDeleting the table...") try await movieDatabase.deleteTable() } } @main struct Main { static func main() async { let args = Array(CommandLine.arguments.dropFirst()) do { let command = try ExampleCommand.parse(args) try await command.runAsync() } catch { ExampleCommand.exit(withError: error) } } }
-
API 세부 정보는 AWS SDK for Swift API 참조의 다음 주제를 참조하세요.
-
작업
다음 코드 예시에서는 BatchGetItem
을 사용하는 방법을 보여 줍니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. import AWSDynamoDB /// Gets an array of `Movie` objects describing all the movies in the /// specified list. Any movies that aren't found in the list have no /// corresponding entry in the resulting array. /// /// - Parameters /// - keys: An array of tuples, each of which specifies the title and /// release year of a movie to fetch from the table. /// /// - Returns: /// - An array of `Movie` objects describing each match found in the /// table. /// /// - Throws: /// - `MovieError.ClientUninitialized` if the DynamoDB client has not /// been initialized. /// - DynamoDB errors are thrown without change. func batchGet(keys: [(title: String, year: Int)]) async throws -> [Movie] { do { guard let client = self.ddbClient else { throw MovieError.ClientUninitialized } var movieList: [Movie] = [] var keyItems: [[Swift.String: DynamoDBClientTypes.AttributeValue]] = [] // Convert the list of keys into the form used by DynamoDB. for key in keys { let item: [Swift.String: DynamoDBClientTypes.AttributeValue] = [ "title": .s(key.title), "year": .n(String(key.year)) ] keyItems.append(item) } // Create the input record for `batchGetItem()`. The list of requested // items is in the `requestItems` property. This array contains one // entry for each table from which items are to be fetched. In this // example, there's only one table containing the movie data. // // If we wanted this program to also support searching for matches // in a table of book data, we could add a second `requestItem` // mapping the name of the book table to the list of items we want to // find in it. let input = BatchGetItemInput( requestItems: [ self.tableName: .init( consistentRead: true, keys: keyItems ) ] ) // Fetch the matching movies from the table. let output = try await client.batchGetItem(input: input) // Get the set of responses. If there aren't any, return the empty // movie list. guard let responses = output.responses else { return movieList } // Get the list of matching items for the table with the name // `tableName`. guard let responseList = responses[self.tableName] else { return movieList } // Create `Movie` items for each of the matching movies in the table // and add them to the `MovieList` array. for response in responseList { try movieList.append(Movie(withItem: response)) } return movieList } catch { print("ERROR: batchGet", dump(error)) throw error } }
-
API 세부 정보는 AWS SDK for Swift API 참조의 BatchGetItem
을 참조하십시오.
-
다음 코드 예시에서는 BatchWriteItem
을 사용하는 방법을 보여 줍니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. import AWSDynamoDB /// Populate the movie database from the specified JSON file. /// /// - Parameter jsonPath: Path to a JSON file containing movie data. /// func populate(jsonPath: String) async throws { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } // Create a Swift `URL` and use it to load the file into a `Data` // object. Then decode the JSON into an array of `Movie` objects. let fileUrl = URL(fileURLWithPath: jsonPath) let jsonData = try Data(contentsOf: fileUrl) var movieList = try JSONDecoder().decode([Movie].self, from: jsonData) // Truncate the list to the first 200 entries or so for this example. if movieList.count > 200 { movieList = Array(movieList[...199]) } // Before sending records to the database, break the movie list into // 25-entry chunks, which is the maximum size of a batch item request. let count = movieList.count let chunks = stride(from: 0, to: count, by: 25).map { Array(movieList[$0 ..< Swift.min($0 + 25, count)]) } // For each chunk, create a list of write request records and populate // them with `PutRequest` requests, each specifying one movie from the // chunk. Once the chunk's items are all in the `PutRequest` list, // send them to Amazon DynamoDB using the // `DynamoDBClient.batchWriteItem()` function. for chunk in chunks { var requestList: [DynamoDBClientTypes.WriteRequest] = [] for movie in chunk { let item = try await movie.getAsItem() let request = DynamoDBClientTypes.WriteRequest( putRequest: .init( item: item ) ) requestList.append(request) } let input = BatchWriteItemInput(requestItems: [tableName: requestList]) _ = try await client.batchWriteItem(input: input) } } catch { print("ERROR: populate:", dump(error)) throw error } }
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API 세부 정보는 AWS SDK for Swift API 참조의 BatchWriteItem
을 참조하십시오.
-
다음 코드 예시에서는 CreateTable
을 사용하는 방법을 보여 줍니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. import AWSDynamoDB /// /// Create a movie table in the Amazon DynamoDB data store. /// private func createTable() async throws { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = CreateTableInput( attributeDefinitions: [ DynamoDBClientTypes.AttributeDefinition(attributeName: "year", attributeType: .n), DynamoDBClientTypes.AttributeDefinition(attributeName: "title", attributeType: .s) ], keySchema: [ DynamoDBClientTypes.KeySchemaElement(attributeName: "year", keyType: .hash), DynamoDBClientTypes.KeySchemaElement(attributeName: "title", keyType: .range) ], provisionedThroughput: DynamoDBClientTypes.ProvisionedThroughput( readCapacityUnits: 10, writeCapacityUnits: 10 ), tableName: self.tableName ) let output = try await client.createTable(input: input) if output.tableDescription == nil { throw MoviesError.TableNotFound } } catch { print("ERROR: createTable:", dump(error)) throw error } }
-
API 세부 정보는 AWS SDK for Swift API 참조의 CreateTable
을 참조하십시오.
-
다음 코드 예시에서는 DeleteItem
을 사용하는 방법을 보여 줍니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. import AWSDynamoDB /// Delete a movie, given its title and release year. /// /// - Parameters: /// - title: The movie's title. /// - year: The movie's release year. /// func delete(title: String, year: Int) async throws { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = DeleteItemInput( key: [ "year": .n(String(year)), "title": .s(title) ], tableName: self.tableName ) _ = try await client.deleteItem(input: input) } catch { print("ERROR: delete:", dump(error)) throw error } }
-
API 세부 정보는 AWS SDK for Swift API 참조의 DeleteItem
을 참조하십시오.
-
다음 코드 예시에서는 DeleteTable
을 사용하는 방법을 보여 줍니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. import AWSDynamoDB /// /// Deletes the table from Amazon DynamoDB. /// func deleteTable() async throws { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = DeleteTableInput( tableName: self.tableName ) _ = try await client.deleteTable(input: input) } catch { print("ERROR: deleteTable:", dump(error)) throw error } }
-
API 세부 정보는 AWS SDK for Swift API 참조의 DeleteTable
을 참조하십시오.
-
다음 코드 예시에서는 GetItem
을 사용하는 방법을 보여 줍니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. import AWSDynamoDB /// Return a `Movie` record describing the specified movie from the Amazon /// DynamoDB table. /// /// - Parameters: /// - title: The movie's title (`String`). /// - year: The movie's release year (`Int`). /// /// - Throws: `MoviesError.ItemNotFound` if the movie isn't in the table. /// /// - Returns: A `Movie` record with the movie's details. func get(title: String, year: Int) async throws -> Movie { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = GetItemInput( key: [ "year": .n(String(year)), "title": .s(title) ], tableName: self.tableName ) let output = try await client.getItem(input: input) guard let item = output.item else { throw MoviesError.ItemNotFound } let movie = try Movie(withItem: item) return movie } catch { print("ERROR: get:", dump(error)) throw error } }
-
API 세부 정보는 AWS SDK for Swift API 참조의 GetItem
을 참조하십시오.
-
다음 코드 예시에서는 ListTables
을 사용하는 방법을 보여 줍니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. import AWSDynamoDB /// Get a list of the DynamoDB tables available in the specified Region. /// /// - Returns: An array of strings listing all of the tables available /// in the Region specified when the session was created. public func getTableList() async throws -> [String] { let input = ListTablesInput( ) return try await session.listTables(input: input) }
-
API 세부 정보는 AWS SDK for Swift API 참조의 ListTables
을 참조하십시오.
-
다음 코드 예시에서는 PutItem
을 사용하는 방법을 보여 줍니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. import AWSDynamoDB /// Add a movie specified as a `Movie` structure to the Amazon DynamoDB /// table. /// /// - Parameter movie: The `Movie` to add to the table. /// func add(movie: Movie) async throws { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } // Get a DynamoDB item containing the movie data. let item = try await movie.getAsItem() // Send the `PutItem` request to Amazon DynamoDB. let input = PutItemInput( item: item, tableName: self.tableName ) _ = try await client.putItem(input: input) } catch { print("ERROR: add movie:", dump(error)) throw error } } /// /// Return an array mapping attribute names to Amazon DynamoDB attribute /// values, representing the contents of the `Movie` record as a DynamoDB /// item. /// /// - Returns: The movie item as an array of type /// `[Swift.String:DynamoDBClientTypes.AttributeValue]`. /// func getAsItem() async throws -> [Swift.String:DynamoDBClientTypes.AttributeValue] { // Build the item record, starting with the year and title, which are // always present. var item: [Swift.String:DynamoDBClientTypes.AttributeValue] = [ "year": .n(String(self.year)), "title": .s(self.title) ] // Add the `info` field with the rating and/or plot if they're // available. var details: [Swift.String:DynamoDBClientTypes.AttributeValue] = [:] if (self.info.rating != nil || self.info.plot != nil) { if self.info.rating != nil { details["rating"] = .n(String(self.info.rating!)) } if self.info.plot != nil { details["plot"] = .s(self.info.plot!) } } item["info"] = .m(details) return item }
-
API 세부 정보는 AWS SDK for Swift API 참조의 PutItem
을 참조하십시오.
-
다음 코드 예시에서는 Query
을 사용하는 방법을 보여 줍니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. import AWSDynamoDB /// Get all the movies released in the specified year. /// /// - Parameter year: The release year of the movies to return. /// /// - Returns: An array of `Movie` objects describing each matching movie. /// func getMovies(fromYear year: Int) async throws -> [Movie] { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = QueryInput( expressionAttributeNames: [ "#y": "year" ], expressionAttributeValues: [ ":y": .n(String(year)) ], keyConditionExpression: "#y = :y", tableName: self.tableName ) // Use "Paginated" to get all the movies. // This lets the SDK handle the 'lastEvaluatedKey' property in "QueryOutput". let pages = client.queryPaginated(input: input) var movieList: [Movie] = [] for try await page in pages { guard let items = page.items else { print("Error: no items returned.") continue } // Convert the found movies into `Movie` objects and return an array // of them. for item in items { let movie = try Movie(withItem: item) movieList.append(movie) } } return movieList } catch { print("ERROR: getMovies:", dump(error)) throw error } }
-
API 세부 정보는 AWS SDK for Swift API 참조의 Query
를 참조하십시오.
-
다음 코드 예시에서는 Scan
을 사용하는 방법을 보여 줍니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. import AWSDynamoDB /// Return an array of `Movie` objects released in the specified range of /// years. /// /// - Parameters: /// - firstYear: The first year of movies to return. /// - lastYear: The last year of movies to return. /// - startKey: A starting point to resume processing; always use `nil`. /// /// - Returns: An array of `Movie` objects describing the matching movies. /// /// > Note: The `startKey` parameter is used by this function when /// recursively calling itself, and should always be `nil` when calling /// directly. /// func getMovies(firstYear: Int, lastYear: Int, startKey: [Swift.String: DynamoDBClientTypes.AttributeValue]? = nil) async throws -> [Movie] { do { var movieList: [Movie] = [] guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } let input = ScanInput( consistentRead: true, exclusiveStartKey: startKey, expressionAttributeNames: [ "#y": "year" // `year` is a reserved word, so use `#y` instead. ], expressionAttributeValues: [ ":y1": .n(String(firstYear)), ":y2": .n(String(lastYear)) ], filterExpression: "#y BETWEEN :y1 AND :y2", tableName: self.tableName ) let pages = client.scanPaginated(input: input) for try await page in pages { guard let items = page.items else { print("Error: no items returned.") continue } // Build an array of `Movie` objects for the returned items. for item in items { let movie = try Movie(withItem: item) movieList.append(movie) } } return movieList } catch { print("ERROR: getMovies with scan:", dump(error)) throw error } }
-
API 세부 정보는 AWS SDK for Swift API 참조의 Scan
을 참조하십시오.
-
다음 코드 예시에서는 UpdateItem
을 사용하는 방법을 보여 줍니다.
- SDK for Swift
-
참고
GitHub에 더 많은 내용이 있습니다. AWS 코드 예시 리포지토리
에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요. import AWSDynamoDB /// Update the specified movie with new `rating` and `plot` information. /// /// - Parameters: /// - title: The title of the movie to update. /// - year: The release year of the movie to update. /// - rating: The new rating for the movie. /// - plot: The new plot summary string for the movie. /// /// - Returns: An array of mappings of attribute names to their new /// listing each item actually changed. Items that didn't need to change /// aren't included in this list. `nil` if no changes were made. /// func update(title: String, year: Int, rating: Double? = nil, plot: String? = nil) async throws -> [Swift.String: DynamoDBClientTypes.AttributeValue]? { do { guard let client = self.ddbClient else { throw MoviesError.UninitializedClient } // Build the update expression and the list of expression attribute // values. Include only the information that's changed. var expressionParts: [String] = [] var attrValues: [Swift.String: DynamoDBClientTypes.AttributeValue] = [:] if rating != nil { expressionParts.append("info.rating=:r") attrValues[":r"] = .n(String(rating!)) } if plot != nil { expressionParts.append("info.plot=:p") attrValues[":p"] = .s(plot!) } let expression = "set \(expressionParts.joined(separator: ", "))" let input = UpdateItemInput( // Create substitution tokens for the attribute values, to ensure // no conflicts in expression syntax. expressionAttributeValues: attrValues, // The key identifying the movie to update consists of the release // year and title. key: [ "year": .n(String(year)), "title": .s(title) ], returnValues: .updatedNew, tableName: self.tableName, updateExpression: expression ) let output = try await client.updateItem(input: input) guard let attributes: [Swift.String: DynamoDBClientTypes.AttributeValue] = output.attributes else { throw MoviesError.InvalidAttributes } return attributes } catch { print("ERROR: update:", dump(error)) throw error } }
-
API 세부 정보는 AWS SDK for Swift API 참조의 UpdateItem
을 참조하십시오.
-