()
{
new KeySchemaElement
{
AttributeName = "year",
KeyType = KeyType.HASH,
},
new KeySchemaElement
{
AttributeName = "title",
KeyType = KeyType.RANGE,
},
},
BillingMode = BillingMode.PAY_PER_REQUEST,
});
// Wait until the table is ACTIVE and then report success.
Console.Write("Waiting for table to become active...");
var request = new DescribeTableRequest
{
TableName = response.TableDescription.TableName,
};
TableStatus status;
int sleepDuration = 2000;
do
{
Thread.Sleep(sleepDuration);
var describeTableResponse = await _amazonDynamoDB.DescribeTableAsync(request);
status = describeTableResponse.Table.TableStatus;
Console.Write(".");
}
while (status != "ACTIVE");
return status == TableStatus.ACTIVE;
}
catch (ResourceInUseException ex)
{
Console.WriteLine($"Table {tableName} already exists. {ex.Message}");
throw;
}
catch (AmazonDynamoDBException ex)
{
Console.WriteLine($"An Amazon DynamoDB error occurred while creating table {tableName}. {ex.Message}");
throw;
}
catch (Exception ex)
{
Console.WriteLine($"An error occurred while creating table {tableName}. {ex.Message}");
throw;
}
}
```
+ 如需 API 詳細資訊，請參閱《適用於 .NET 的 AWS SDK API 參考》**中的 [CreateTable](https://docs.aws.amazon.com/goto/DotNetSDKV4/dynamodb-2012-08-10/CreateTable)。
------
#### [ Bash ]
**AWS CLI 使用 Bash 指令碼**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/aws-cli/bash-linux/dynamodb#code-examples)中設定和執行。
```
###############################################################################
# function dynamodb_create_table
#
# This function creates an Amazon DynamoDB table.
#
# Parameters:
# -n table_name -- The name of the table to create.
# -a attribute_definitions -- JSON file path of a list of attributes and their types.
# -k key_schema -- JSON file path of a list of attributes and their key types.
#
# Returns:
# 0 - If successful.
# 1 - If it fails.
###############################################################################
function dynamodb_create_table() {
local table_name attribute_definitions key_schema response
local option OPTARG # Required to use getopts command in a function.
#######################################
# Function usage explanation
#######################################
function usage() {
echo "function dynamodb_create_table"
echo "Creates an Amazon DynamoDB table with on-demand billing."
echo " -n table_name -- The name of the table to create."
echo " -a attribute_definitions -- JSON file path of a list of attributes and their types."
echo " -k key_schema -- JSON file path of a list of attributes and their key types."
echo ""
}
# Retrieve the calling parameters.
while getopts "n:a:k:h" option; do
case "${option}" in
n) table_name="${OPTARG}" ;;
a) attribute_definitions="${OPTARG}" ;;
k) key_schema="${OPTARG}" ;;
h)
usage
return 0
;;
\?)
echo "Invalid parameter"
usage
return 1
;;
esac
done
export OPTIND=1
if [[ -z "$table_name" ]]; then
errecho "ERROR: You must provide a table name with the -n parameter."
usage
return 1
fi
if [[ -z "$attribute_definitions" ]]; then
errecho "ERROR: You must provide an attribute definitions json file path the -a parameter."
usage
return 1
fi
if [[ -z "$key_schema" ]]; then
errecho "ERROR: You must provide a key schema json file path the -k parameter."
usage
return 1
fi
iecho "Parameters:\n"
iecho " table_name: $table_name"
iecho " attribute_definitions: $attribute_definitions"
iecho " key_schema: $key_schema"
iecho ""
response=$(aws dynamodb create-table \
--table-name "$table_name" \
--attribute-definitions file://"$attribute_definitions" \
--billing-mode PAY_PER_REQUEST \
--key-schema file://"$key_schema" )
local error_code=${?}
if [[ $error_code -ne 0 ]]; then
aws_cli_error_log $error_code
errecho "ERROR: AWS reports create-table operation failed.$response"
return 1
fi
return 0
}
```
此範例中使用的公用程式函數。
```
###############################################################################
# function iecho
#
# This function enables the script to display the specified text only if
# the global variable $VERBOSE is set to true.
###############################################################################
function iecho() {
if [[ $VERBOSE == true ]]; then
echo "$@"
fi
}
###############################################################################
# function errecho
#
# This function outputs everything sent to it to STDERR (standard error output).
###############################################################################
function errecho() {
printf "%s\n" "$*" 1>&2
}
##############################################################################
# function aws_cli_error_log()
#
# This function is used to log the error messages from the AWS CLI.
#
# See https://docs.aws.amazon.com/cli/latest/topic/return-codes.html#cli-aws-help-return-codes.
#
# The function expects the following argument:
# $1 - The error code returned by the AWS CLI.
#
# Returns:
# 0: - Success.
#
##############################################################################
function aws_cli_error_log() {
local err_code=$1
errecho "Error code : $err_code"
if [ "$err_code" == 1 ]; then
errecho " One or more S3 transfers failed."
elif [ "$err_code" == 2 ]; then
errecho " Command line failed to parse."
elif [ "$err_code" == 130 ]; then
errecho " Process received SIGINT."
elif [ "$err_code" == 252 ]; then
errecho " Command syntax invalid."
elif [ "$err_code" == 253 ]; then
errecho " The system environment or configuration was invalid."
elif [ "$err_code" == 254 ]; then
errecho " The service returned an error."
elif [ "$err_code" == 255 ]; then
errecho " 255 is a catch-all error."
fi
return 0
}
```
+ 如需 API 詳細資訊，請參閱《*AWS CLI 命令參考*》中的 [CreateTable](https://docs.aws.amazon.com/goto/aws-cli/dynamodb-2012-08-10/CreateTable)。
------
#### [ C\$1\$1 ]
**適用於 C\$1\$1 的 SDK**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/dynamodb#code-examples)中設定和執行。
```
//! Create an Amazon DynamoDB table.
/*!
\sa createTable()
\param tableName: Name for the DynamoDB table.
\param primaryKey: Primary key for the DynamoDB table.
\param clientConfiguration: AWS client configuration.
\return bool: Function succeeded.
*/
bool AwsDoc::DynamoDB::createTable(const Aws::String &tableName,
const Aws::String &primaryKey,
const Aws::Client::ClientConfiguration &clientConfiguration) {
Aws::DynamoDB::DynamoDBClient dynamoClient(clientConfiguration);
std::cout << "Creating table " << tableName <<
" with a simple primary key: \"" << primaryKey << "\"." << std::endl;
Aws::DynamoDB::Model::CreateTableRequest request;
Aws::DynamoDB::Model::AttributeDefinition hashKey;
hashKey.SetAttributeName(primaryKey);
hashKey.SetAttributeType(Aws::DynamoDB::Model::ScalarAttributeType::S);
request.AddAttributeDefinitions(hashKey);
Aws::DynamoDB::Model::KeySchemaElement keySchemaElement;
keySchemaElement.WithAttributeName(primaryKey).WithKeyType(
Aws::DynamoDB::Model::KeyType::HASH);
request.AddKeySchema(keySchemaElement);
Aws::DynamoDB::Model::ProvisionedThroughput throughput;
throughput.WithReadCapacityUnits(5).WithWriteCapacityUnits(5);
request.SetProvisionedThroughput(throughput);
request.SetTableName(tableName);
const Aws::DynamoDB::Model::CreateTableOutcome &outcome = dynamoClient.CreateTable(
request);
if (outcome.IsSuccess()) {
std::cout << "Table \""
<< outcome.GetResult().GetTableDescription().GetTableName() <<
" created!" << std::endl;
}
else {
std::cerr << "Failed to create table: " << outcome.GetError().GetMessage()
<< std::endl;
return false;
}
return waitTableActive(tableName, dynamoClient);
}
```
等待資料表變成作用中的程式碼。
```
//! Query a newly created DynamoDB table until it is active.
/*!
\sa waitTableActive()
\param waitTableActive: The DynamoDB table's name.
\param dynamoClient: A DynamoDB client.
\return bool: Function succeeded.
*/
bool AwsDoc::DynamoDB::waitTableActive(const Aws::String &tableName,
const Aws::DynamoDB::DynamoDBClient &dynamoClient) {
// Repeatedly call DescribeTable until table is ACTIVE.
const int MAX_QUERIES = 20;
Aws::DynamoDB::Model::DescribeTableRequest request;
request.SetTableName(tableName);
int count = 0;
while (count < MAX_QUERIES) {
const Aws::DynamoDB::Model::DescribeTableOutcome &result = dynamoClient.DescribeTable(
request);
if (result.IsSuccess()) {
Aws::DynamoDB::Model::TableStatus status = result.GetResult().GetTable().GetTableStatus();
if (Aws::DynamoDB::Model::TableStatus::ACTIVE != status) {
std::this_thread::sleep_for(std::chrono::seconds(1));
}
else {
return true;
}
}
else {
std::cerr << "Error DynamoDB::waitTableActive "
<< result.GetError().GetMessage() << std::endl;
return false;
}
count++;
}
return false;
}
```
+ 如需 API 的詳細資訊，請參閱《*適用於 C\$1\$1 的 AWS SDK API 參考*》中的 [CreateTable](https://docs.aws.amazon.com/goto/SdkForCpp/dynamodb-2012-08-10/CreateTable)。
------
#### [ CLI ]
**AWS CLI**
**範例 1：建立具有標籤的資料表**
下列 `create-table` 範例使用指定的屬性和索引鍵結構描述，建立名為 `MusicCollection` 的資料表。此資料表使用佈建的輸送量，並使用預設 AWS 擁有的 CMK 進行靜態加密。該命令也會運用索引鍵 `Owner` 和值 `blueTeam`，將標籤套用至資料表。
```
aws dynamodb create-table \
--table-name MusicCollection \
--attribute-definitions AttributeName=Artist,AttributeType=S AttributeName=SongTitle,AttributeType=S \
--key-schema AttributeName=Artist,KeyType=HASH AttributeName=SongTitle,KeyType=RANGE \
--provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5 \
--tags Key=Owner,Value=blueTeam
```
輸出：
```
{
"TableDescription": {
"AttributeDefinitions": [
{
"AttributeName": "Artist",
"AttributeType": "S"
},
{
"AttributeName": "SongTitle",
"AttributeType": "S"
}
],
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"WriteCapacityUnits": 5,
"ReadCapacityUnits": 5
},
"TableSizeBytes": 0,
"TableName": "MusicCollection",
"TableStatus": "CREATING",
"KeySchema": [
{
"KeyType": "HASH",
"AttributeName": "Artist"
},
{
"KeyType": "RANGE",
"AttributeName": "SongTitle"
}
],
"ItemCount": 0,
"CreationDateTime": "2020-05-26T16:04:41.627000-07:00",
"TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/MusicCollection",
"TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111"
}
}
```
如需詳細資訊，請參閱《*Amazon DynamoDB 開發人員指南*》中的[資料表基本操作](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html)。
**範例 2：在隨需模式下建立資料表**
以下範例使用隨需模式 (而非佈建的輸送量模式)，建立名為 `MusicCollection` 的資料表。這適用於工作負載無法預測的資料表。
```
aws dynamodb create-table \
--table-name MusicCollection \
--attribute-definitions AttributeName=Artist,AttributeType=S AttributeName=SongTitle,AttributeType=S \
--key-schema AttributeName=Artist,KeyType=HASH AttributeName=SongTitle,KeyType=RANGE \
--billing-mode PAY_PER_REQUEST
```
輸出：
```
{
"TableDescription": {
"AttributeDefinitions": [
{
"AttributeName": "Artist",
"AttributeType": "S"
},
{
"AttributeName": "SongTitle",
"AttributeType": "S"
}
],
"TableName": "MusicCollection",
"KeySchema": [
{
"AttributeName": "Artist",
"KeyType": "HASH"
},
{
"AttributeName": "SongTitle",
"KeyType": "RANGE"
}
],
"TableStatus": "CREATING",
"CreationDateTime": "2020-05-27T11:44:10.807000-07:00",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 0,
"WriteCapacityUnits": 0
},
"TableSizeBytes": 0,
"ItemCount": 0,
"TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/MusicCollection",
"TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
"BillingModeSummary": {
"BillingMode": "PAY_PER_REQUEST"
}
}
}
```
如需詳細資訊，請參閱《*Amazon DynamoDB 開發人員指南*》中的[資料表基本操作](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html)。
**範例 3：建立資料表，並使用客戶管理的 CMK 進行加密**
下列範例建立名為 `MusicCollection` 的資料表，並使用客戶管理的 CMK 將其加密。
```
aws dynamodb create-table \
--table-name MusicCollection \
--attribute-definitions AttributeName=Artist,AttributeType=S AttributeName=SongTitle,AttributeType=S \
--key-schema AttributeName=Artist,KeyType=HASH AttributeName=SongTitle,KeyType=RANGE \
--provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5 \
--sse-specification Enabled=true,SSEType=KMS,KMSMasterKeyId=abcd1234-abcd-1234-a123-ab1234a1b234
```
輸出：
```
{
"TableDescription": {
"AttributeDefinitions": [
{
"AttributeName": "Artist",
"AttributeType": "S"
},
{
"AttributeName": "SongTitle",
"AttributeType": "S"
}
],
"TableName": "MusicCollection",
"KeySchema": [
{
"AttributeName": "Artist",
"KeyType": "HASH"
},
{
"AttributeName": "SongTitle",
"KeyType": "RANGE"
}
],
"TableStatus": "CREATING",
"CreationDateTime": "2020-05-27T11:12:16.431000-07:00",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 5,
"WriteCapacityUnits": 5
},
"TableSizeBytes": 0,
"ItemCount": 0,
"TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/MusicCollection",
"TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
"SSEDescription": {
"Status": "ENABLED",
"SSEType": "KMS",
"KMSMasterKeyArn": "arn:aws:kms:us-west-2:123456789012:key/abcd1234-abcd-1234-a123-ab1234a1b234"
}
}
}
```
如需詳細資訊，請參閱《*Amazon DynamoDB 開發人員指南*》中的[資料表基本操作](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html)。
**範例 4：建立具有本機次要索引的資料表**
以下範例使用指定的屬性和索引鍵結構描述，建立名為 `MusicCollection` 的資料表，其中包含名為 `AlbumTitleIndex` 的本機次要索引。
```
aws dynamodb create-table \
--table-name MusicCollection \
--attribute-definitions AttributeName=Artist,AttributeType=S AttributeName=SongTitle,AttributeType=S AttributeName=AlbumTitle,AttributeType=S \
--key-schema AttributeName=Artist,KeyType=HASH AttributeName=SongTitle,KeyType=RANGE \
--provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
--local-secondary-indexes \
"[
{
\"IndexName\": \"AlbumTitleIndex\",
\"KeySchema\": [
{\"AttributeName\": \"Artist\",\"KeyType\":\"HASH\"},
{\"AttributeName\": \"AlbumTitle\",\"KeyType\":\"RANGE\"}
],
\"Projection\": {
\"ProjectionType\": \"INCLUDE\",
\"NonKeyAttributes\": [\"Genre\", \"Year\"]
}
}
]"
```
輸出：
```
{
"TableDescription": {
"AttributeDefinitions": [
{
"AttributeName": "AlbumTitle",
"AttributeType": "S"
},
{
"AttributeName": "Artist",
"AttributeType": "S"
},
{
"AttributeName": "SongTitle",
"AttributeType": "S"
}
],
"TableName": "MusicCollection",
"KeySchema": [
{
"AttributeName": "Artist",
"KeyType": "HASH"
},
{
"AttributeName": "SongTitle",
"KeyType": "RANGE"
}
],
"TableStatus": "CREATING",
"CreationDateTime": "2020-05-26T15:59:49.473000-07:00",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 10,
"WriteCapacityUnits": 5
},
"TableSizeBytes": 0,
"ItemCount": 0,
"TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/MusicCollection",
"TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
"LocalSecondaryIndexes": [
{
"IndexName": "AlbumTitleIndex",
"KeySchema": [
{
"AttributeName": "Artist",
"KeyType": "HASH"
},
{
"AttributeName": "AlbumTitle",
"KeyType": "RANGE"
}
],
"Projection": {
"ProjectionType": "INCLUDE",
"NonKeyAttributes": [
"Genre",
"Year"
]
},
"IndexSizeBytes": 0,
"ItemCount": 0,
"IndexArn": "arn:aws:dynamodb:us-west-2:123456789012:table/MusicCollection/index/AlbumTitleIndex"
}
]
}
}
```
如需詳細資訊，請參閱《*Amazon DynamoDB 開發人員指南*》中的[資料表基本操作](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html)。
**範例 5：建立具有全域次要索引的資料表**
以下範例會建立名為 `GameScores` 的資料表，以及名為 `GameTitleIndex` 的全域次要索引。基礎資料表具有分割區索引鍵 `UserId` 和排序索引鍵 `GameTitle`，可讓您有效率地找到個別使用者在特定遊戲中的最佳分數，而 GSI 具有分割區索引鍵 `GameTitle` 和排序索引鍵 `TopScore`，可讓您快速找到特定遊戲的整體最高分數。
```
aws dynamodb create-table \
--table-name GameScores \
--attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S AttributeName=TopScore,AttributeType=N \
--key-schema AttributeName=UserId,KeyType=HASH \
AttributeName=GameTitle,KeyType=RANGE \
--provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
--global-secondary-indexes \
"[
{
\"IndexName\": \"GameTitleIndex\",
\"KeySchema\": [
{\"AttributeName\":\"GameTitle\",\"KeyType\":\"HASH\"},
{\"AttributeName\":\"TopScore\",\"KeyType\":\"RANGE\"}
],
\"Projection\": {
\"ProjectionType\":\"INCLUDE\",
\"NonKeyAttributes\":[\"UserId\"]
},
\"ProvisionedThroughput\": {
\"ReadCapacityUnits\": 10,
\"WriteCapacityUnits\": 5
}
}
]"
```
輸出：
```
{
"TableDescription": {
"AttributeDefinitions": [
{
"AttributeName": "GameTitle",
"AttributeType": "S"
},
{
"AttributeName": "TopScore",
"AttributeType": "N"
},
{
"AttributeName": "UserId",
"AttributeType": "S"
}
],
"TableName": "GameScores",
"KeySchema": [
{
"AttributeName": "UserId",
"KeyType": "HASH"
},
{
"AttributeName": "GameTitle",
"KeyType": "RANGE"
}
],
"TableStatus": "CREATING",
"CreationDateTime": "2020-05-26T17:28:15.602000-07:00",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 10,
"WriteCapacityUnits": 5
},
"TableSizeBytes": 0,
"ItemCount": 0,
"TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
"TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
"GlobalSecondaryIndexes": [
{
"IndexName": "GameTitleIndex",
"KeySchema": [
{
"AttributeName": "GameTitle",
"KeyType": "HASH"
},
{
"AttributeName": "TopScore",
"KeyType": "RANGE"
}
],
"Projection": {
"ProjectionType": "INCLUDE",
"NonKeyAttributes": [
"UserId"
]
},
"IndexStatus": "CREATING",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 10,
"WriteCapacityUnits": 5
},
"IndexSizeBytes": 0,
"ItemCount": 0,
"IndexArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores/index/GameTitleIndex"
}
]
}
}
```
如需詳細資訊，請參閱《*Amazon DynamoDB 開發人員指南*》中的[資料表基本操作](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html)。
**範例 6：建立具有多個全域次要索引的資料表**
以下範例會建立名為 `GameScores`，且具有兩個全域次要索引的資料表。GSI 結構描述是透過檔案傳遞，而不是在命令列上傳遞。
```
aws dynamodb create-table \
--table-name GameScores \
--attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S AttributeName=TopScore,AttributeType=N AttributeName=Date,AttributeType=S \
--key-schema AttributeName=UserId,KeyType=HASH AttributeName=GameTitle,KeyType=RANGE \
--provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
--global-secondary-indexes file://gsi.json
```
`gsi.json` 的內容：
```
[
{
"IndexName": "GameTitleIndex",
"KeySchema": [
{
"AttributeName": "GameTitle",
"KeyType": "HASH"
},
{
"AttributeName": "TopScore",
"KeyType": "RANGE"
}
],
"Projection": {
"ProjectionType": "ALL"
},
"ProvisionedThroughput": {
"ReadCapacityUnits": 10,
"WriteCapacityUnits": 5
}
},
{
"IndexName": "GameDateIndex",
"KeySchema": [
{
"AttributeName": "GameTitle",
"KeyType": "HASH"
},
{
"AttributeName": "Date",
"KeyType": "RANGE"
}
],
"Projection": {
"ProjectionType": "ALL"
},
"ProvisionedThroughput": {
"ReadCapacityUnits": 5,
"WriteCapacityUnits": 5
}
}
]
```
輸出：
```
{
"TableDescription": {
"AttributeDefinitions": [
{
"AttributeName": "Date",
"AttributeType": "S"
},
{
"AttributeName": "GameTitle",
"AttributeType": "S"
},
{
"AttributeName": "TopScore",
"AttributeType": "N"
},
{
"AttributeName": "UserId",
"AttributeType": "S"
}
],
"TableName": "GameScores",
"KeySchema": [
{
"AttributeName": "UserId",
"KeyType": "HASH"
},
{
"AttributeName": "GameTitle",
"KeyType": "RANGE"
}
],
"TableStatus": "CREATING",
"CreationDateTime": "2020-08-04T16:40:55.524000-07:00",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 10,
"WriteCapacityUnits": 5
},
"TableSizeBytes": 0,
"ItemCount": 0,
"TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
"TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
"GlobalSecondaryIndexes": [
{
"IndexName": "GameTitleIndex",
"KeySchema": [
{
"AttributeName": "GameTitle",
"KeyType": "HASH"
},
{
"AttributeName": "TopScore",
"KeyType": "RANGE"
}
],
"Projection": {
"ProjectionType": "ALL"
},
"IndexStatus": "CREATING",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 10,
"WriteCapacityUnits": 5
},
"IndexSizeBytes": 0,
"ItemCount": 0,
"IndexArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores/index/GameTitleIndex"
},
{
"IndexName": "GameDateIndex",
"KeySchema": [
{
"AttributeName": "GameTitle",
"KeyType": "HASH"
},
{
"AttributeName": "Date",
"KeyType": "RANGE"
}
],
"Projection": {
"ProjectionType": "ALL"
},
"IndexStatus": "CREATING",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 5,
"WriteCapacityUnits": 5
},
"IndexSizeBytes": 0,
"ItemCount": 0,
"IndexArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores/index/GameDateIndex"
}
]
}
}
```
如需詳細資訊，請參閱《*Amazon DynamoDB 開發人員指南*》中的[資料表基本操作](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html)。
**範例 7：建立已啟用串流的資料表**
下列範例建立名為 `GameScores`，並啟用 DynamoDB Streams 的資料表。每個項目的新舊映像都會寫入串流。
```
aws dynamodb create-table \
--table-name GameScores \
--attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S \
--key-schema AttributeName=UserId,KeyType=HASH AttributeName=GameTitle,KeyType=RANGE \
--provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
--stream-specification StreamEnabled=TRUE,StreamViewType=NEW_AND_OLD_IMAGES
```
輸出：
```
{
"TableDescription": {
"AttributeDefinitions": [
{
"AttributeName": "GameTitle",
"AttributeType": "S"
},
{
"AttributeName": "UserId",
"AttributeType": "S"
}
],
"TableName": "GameScores",
"KeySchema": [
{
"AttributeName": "UserId",
"KeyType": "HASH"
},
{
"AttributeName": "GameTitle",
"KeyType": "RANGE"
}
],
"TableStatus": "CREATING",
"CreationDateTime": "2020-05-27T10:49:34.056000-07:00",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 10,
"WriteCapacityUnits": 5
},
"TableSizeBytes": 0,
"ItemCount": 0,
"TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
"TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
"StreamSpecification": {
"StreamEnabled": true,
"StreamViewType": "NEW_AND_OLD_IMAGES"
},
"LatestStreamLabel": "2020-05-27T17:49:34.056",
"LatestStreamArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores/stream/2020-05-27T17:49:34.056"
}
}
```
如需詳細資訊，請參閱《*Amazon DynamoDB 開發人員指南*》中的[資料表基本操作](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html)。
**範例 8：建立已啟用僅限索引鍵串流的資料表**
下列範例建立名為 `GameScores`，並啟用 DynamoDB Streams 的資料表。只有修改過的項目索引鍵屬性才會寫入串流。
```
aws dynamodb create-table \
--table-name GameScores \
--attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S \
--key-schema AttributeName=UserId,KeyType=HASH AttributeName=GameTitle,KeyType=RANGE \
--provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
--stream-specification StreamEnabled=TRUE,StreamViewType=KEYS_ONLY
```
輸出：
```
{
"TableDescription": {
"AttributeDefinitions": [
{
"AttributeName": "GameTitle",
"AttributeType": "S"
},
{
"AttributeName": "UserId",
"AttributeType": "S"
}
],
"TableName": "GameScores",
"KeySchema": [
{
"AttributeName": "UserId",
"KeyType": "HASH"
},
{
"AttributeName": "GameTitle",
"KeyType": "RANGE"
}
],
"TableStatus": "CREATING",
"CreationDateTime": "2023-05-25T18:45:34.140000+00:00",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 10,
"WriteCapacityUnits": 5
},
"TableSizeBytes": 0,
"ItemCount": 0,
"TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
"TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
"StreamSpecification": {
"StreamEnabled": true,
"StreamViewType": "KEYS_ONLY"
},
"LatestStreamLabel": "2023-05-25T18:45:34.140",
"LatestStreamArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores/stream/2023-05-25T18:45:34.140",
"DeletionProtectionEnabled": false
}
}
```
如需詳細資訊，請參閱《Amazon DynamoDB 開發人員指南》**中的[ DynamoDB Streams 的變更資料擷取](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html)。
**範例 9：建立具有 Standard Infrequent Access 類別的資料表**
下列範例會建立名為 `GameScores` 的資料表，並指派 Standard-Infrequent Access (DynamoDB Standard-IA) 資料表類別。此資料表類別針對主要成本的儲存進行最佳化。
```
aws dynamodb create-table \
--table-name GameScores \
--attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S \
--key-schema AttributeName=UserId,KeyType=HASH AttributeName=GameTitle,KeyType=RANGE \
--provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
--table-class STANDARD_INFREQUENT_ACCESS
```
輸出：
```
{
"TableDescription": {
"AttributeDefinitions": [
{
"AttributeName": "GameTitle",
"AttributeType": "S"
},
{
"AttributeName": "UserId",
"AttributeType": "S"
}
],
"TableName": "GameScores",
"KeySchema": [
{
"AttributeName": "UserId",
"KeyType": "HASH"
},
{
"AttributeName": "GameTitle",
"KeyType": "RANGE"
}
],
"TableStatus": "CREATING",
"CreationDateTime": "2023-05-25T18:33:07.581000+00:00",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 10,
"WriteCapacityUnits": 5
},
"TableSizeBytes": 0,
"ItemCount": 0,
"TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
"TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
"TableClassSummary": {
"TableClass": "STANDARD_INFREQUENT_ACCESS"
},
"DeletionProtectionEnabled": false
}
}
```
如需詳細資訊，請參閱《Amazon DynamoDB 開發人員指南》**中的[資料表類別](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.TableClasses.html)。
**範例 10：建立已啟用刪除保護的資料表**
下列範例會建立名為 `GameScores`，並啟用刪除保護的資料表。
```
aws dynamodb create-table \
--table-name GameScores \
--attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S \
--key-schema AttributeName=UserId,KeyType=HASH AttributeName=GameTitle,KeyType=RANGE \
--provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
--deletion-protection-enabled
```
輸出：
```
{
"TableDescription": {
"AttributeDefinitions": [
{
"AttributeName": "GameTitle",
"AttributeType": "S"
},
{
"AttributeName": "UserId",
"AttributeType": "S"
}
],
"TableName": "GameScores",
"KeySchema": [
{
"AttributeName": "UserId",
"KeyType": "HASH"
},
{
"AttributeName": "GameTitle",
"KeyType": "RANGE"
}
],
"TableStatus": "CREATING",
"CreationDateTime": "2023-05-25T23:02:17.093000+00:00",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 10,
"WriteCapacityUnits": 5
},
"TableSizeBytes": 0,
"ItemCount": 0,
"TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
"TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
"DeletionProtectionEnabled": true
}
}
```
如需詳細資訊，請參閱《*Amazon DynamoDB 開發人員指南*》中的[使用刪除保護](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html#WorkingWithTables.Basics.DeletionProtection)。
+ 如需 API 詳細資訊，請參閱《*AWS CLI 命令參考*》中的 [CreateTable](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/dynamodb/create-table.html)。
------
#### [ Go ]
**SDK for Go V2**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/gov2/dynamodb#code-examples)中設定和執行。
```
import (
"context"
"errors"
"log"
"time"
"github.com/aws/aws-sdk-go-v2/aws"
"github.com/aws/aws-sdk-go-v2/feature/dynamodb/attributevalue"
"github.com/aws/aws-sdk-go-v2/feature/dynamodb/expression"
"github.com/aws/aws-sdk-go-v2/service/dynamodb"
"github.com/aws/aws-sdk-go-v2/service/dynamodb/types"
)
// TableBasics encapsulates the Amazon DynamoDB service actions used in the examples.
// It contains a DynamoDB service client that is used to act on the specified table.
type TableBasics struct {
DynamoDbClient *dynamodb.Client
TableName string
}
// CreateMovieTable creates a DynamoDB table with a composite primary key defined as
// a string sort key named `title`, and a numeric partition key named `year`.
// This function uses NewTableExistsWaiter to wait for the table to be created by
// DynamoDB before it returns.
func (basics TableBasics) CreateMovieTable(ctx context.Context) (*types.TableDescription, error) {
var tableDesc *types.TableDescription
table, err := basics.DynamoDbClient.CreateTable(ctx, &dynamodb.CreateTableInput{
AttributeDefinitions: []types.AttributeDefinition{{
AttributeName: aws.String("year"),
AttributeType: types.ScalarAttributeTypeN,
}, {
AttributeName: aws.String("title"),
AttributeType: types.ScalarAttributeTypeS,
}},
KeySchema: []types.KeySchemaElement{{
AttributeName: aws.String("year"),
KeyType: types.KeyTypeHash,
}, {
AttributeName: aws.String("title"),
KeyType: types.KeyTypeRange,
}},
TableName: aws.String(basics.TableName),
BillingMode: types.BillingModePayPerRequest,
})
if err != nil {
log.Printf("Couldn't create table %v. Here's why: %v\n", basics.TableName, err)
} else {
waiter := dynamodb.NewTableExistsWaiter(basics.DynamoDbClient)
err = waiter.Wait(ctx, &dynamodb.DescribeTableInput{
TableName: aws.String(basics.TableName)}, 5*time.Minute)
if err != nil {
log.Printf("Wait for table exists failed. Here's why: %v\n", err)
}
tableDesc = table.TableDescription
log.Printf("Ccreating table test")
}
return tableDesc, err
}
```
+ 如需 API 的詳細資訊，請參閱《*適用於 Go 的 AWS SDK API 參考*》中的 [CreateTable](https://pkg.go.dev/github.com/aws/aws-sdk-go-v2/service/dynamodb#Client.CreateTable)。
------
#### [ Java ]
**適用於 Java 2.x 的 SDK**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/dynamodb#code-examples)中設定和執行。
```
import software.amazon.awssdk.core.waiters.WaiterResponse;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.dynamodb.DynamoDbClient;
import software.amazon.awssdk.services.dynamodb.model.AttributeDefinition;
import software.amazon.awssdk.services.dynamodb.model.BillingMode;
import software.amazon.awssdk.services.dynamodb.model.CreateTableRequest;
import software.amazon.awssdk.services.dynamodb.model.CreateTableResponse;
import software.amazon.awssdk.services.dynamodb.model.DescribeTableRequest;
import software.amazon.awssdk.services.dynamodb.model.DescribeTableResponse;
import software.amazon.awssdk.services.dynamodb.model.DynamoDbException;
import software.amazon.awssdk.services.dynamodb.model.KeySchemaElement;
import software.amazon.awssdk.services.dynamodb.model.KeyType;
import software.amazon.awssdk.services.dynamodb.model.OnDemandThroughput;
import software.amazon.awssdk.services.dynamodb.model.ProvisionedThroughput;
import software.amazon.awssdk.services.dynamodb.model.ScalarAttributeType;
import software.amazon.awssdk.services.dynamodb.waiters.DynamoDbWaiter;
/**
* Before running this Java V2 code example, set up your development
* environment, including your credentials.
*
* For more information, see the following documentation topic:
*
* https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
*/
public class CreateTable {
public static void main(String[] args) {
final String usage = """
Usage:
Where:
tableName - The Amazon DynamoDB table to create (for example, Music3).
key - The key for the Amazon DynamoDB table (for example, Artist).
""";
if (args.length != 2) {
System.out.println(usage);
System.exit(1);
}
String tableName = args[0];
String key = args[1];
System.out.println("Creating an Amazon DynamoDB table " + tableName + " with a simple primary key: " + key);
Region region = Region.US_EAST_1;
DynamoDbClient ddb = DynamoDbClient.builder()
.region(region)
.build();
String result = createTable(ddb, tableName, key);
System.out.println("New table is " + result);
ddb.close();
}
public static String createTable(DynamoDbClient ddb, String tableName, String key) {
DynamoDbWaiter dbWaiter = ddb.waiter();
CreateTableRequest request = CreateTableRequest.builder()
.attributeDefinitions(AttributeDefinition.builder()
.attributeName(key)
.attributeType(ScalarAttributeType.S)
.build())
.keySchema(KeySchemaElement.builder()
.attributeName(key)
.keyType(KeyType.HASH)
.build())
.billingMode(BillingMode.PAY_PER_REQUEST) // DynamoDB automatically scales based on traffic.
.tableName(tableName)
.build();
String newTable;
try {
CreateTableResponse response = ddb.createTable(request);
DescribeTableRequest tableRequest = DescribeTableRequest.builder()
.tableName(tableName)
.build();
// Wait until the Amazon DynamoDB table is created.
WaiterResponse waiterResponse = dbWaiter.waitUntilTableExists(tableRequest);
waiterResponse.matched().response().ifPresent(System.out::println);
newTable = response.tableDescription().tableName();
return newTable;
} catch (DynamoDbException e) {
System.err.println(e.getMessage());
System.exit(1);
}
return "";
}
}
```
+ 如需 API 的詳細資訊，請參閱《*AWS SDK for Java 2.x API 參考*》中的 [CreateTable](https://docs.aws.amazon.com/goto/SdkForJavaV2/dynamodb-2012-08-10/CreateTable)。
------
#### [ JavaScript ]
**適用於 JavaScript (v3) 的 SDK**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
```
import { CreateTableCommand, DynamoDBClient } from "@aws-sdk/client-dynamodb";
const client = new DynamoDBClient({});
export const main = async () => {
const command = new CreateTableCommand({
TableName: "EspressoDrinks",
// For more information about data types,
// see https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.NamingRulesDataTypes.html#HowItWorks.DataTypes and
// https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.LowLevelAPI.html#Programming.LowLevelAPI.DataTypeDescriptors
AttributeDefinitions: [
{
AttributeName: "DrinkName",
AttributeType: "S",
},
],
KeySchema: [
{
AttributeName: "DrinkName",
KeyType: "HASH",
},
],
BillingMode: "PAY_PER_REQUEST",
});
const response = await client.send(command);
console.log(response);
return response;
};
```
+ 如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/dynamodb-examples-using-tables.html#dynamodb-examples-using-tables-creating-a-table)》。
+ 如需 API 的詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [CreateTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/CreateTableCommand)。
**適用於 JavaScript (v2) 的 SDK**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascript/example_code/dynamodb#code-examples)中設定和執行。
```
// Load the AWS SDK for Node.js
var AWS = require("aws-sdk");
// Set the region
AWS.config.update({ region: "REGION" });
// Create the DynamoDB service object
var ddb = new AWS.DynamoDB({ apiVersion: "2012-08-10" });
var params = {
AttributeDefinitions: [
{
AttributeName: "CUSTOMER_ID",
AttributeType: "N",
},
{
AttributeName: "CUSTOMER_NAME",
AttributeType: "S",
},
],
KeySchema: [
{
AttributeName: "CUSTOMER_ID",
KeyType: "HASH",
},
{
AttributeName: "CUSTOMER_NAME",
KeyType: "RANGE",
},
],
ProvisionedThroughput: {
ReadCapacityUnits: 1,
WriteCapacityUnits: 1,
},
TableName: "CUSTOMER_LIST",
StreamSpecification: {
StreamEnabled: false,
},
};
// Call DynamoDB to create the table
ddb.createTable(params, function (err, data) {
if (err) {
console.log("Error", err);
} else {
console.log("Table Created", data);
}
});
```
+ 如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/dynamodb-examples-using-tables.html#dynamodb-examples-using-tables-creating-a-table)》。
+ 如需 API 的詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [CreateTable](https://docs.aws.amazon.com/goto/AWSJavaScriptSDK/dynamodb-2012-08-10/CreateTable)。
------
#### [ Kotlin ]
**適用於 Kotlin 的 SDK**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/dynamodb#code-examples)中設定和執行。
```
suspend fun createNewTable(
tableNameVal: String,
key: String,
): String? {
val attDef =
AttributeDefinition {
attributeName = key
attributeType = ScalarAttributeType.S
}
val keySchemaVal =
KeySchemaElement {
attributeName = key
keyType = KeyType.Hash
}
val request =
CreateTableRequest {
attributeDefinitions = listOf(attDef)
keySchema = listOf(keySchemaVal)
billingMode = BillingMode.PayPerRequest
tableName = tableNameVal
}
DynamoDbClient.fromEnvironment { region = "us-east-1" }.use { ddb ->
var tableArn: String
val response = ddb.createTable(request)
ddb.waitUntilTableExists {
// suspend call
tableName = tableNameVal
}
tableArn = response.tableDescription!!.tableArn.toString()
println("Table $tableArn is ready")
return tableArn
}
}
```
+ 如需 API 的詳細資訊，請參閱《*適用於 Kotlin 的AWS SDK API 參考*》中的 [CreateTable](https://sdk.amazonaws.com/kotlin/api/latest/index.html)。
------
#### [ PHP ]
**適用於 PHP 的 SDK**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/php/example_code/dynamodb#code-examples)中設定和執行。
建立資料表。
```
$tableName = "ddb_demo_table_$uuid";
$service->createTable(
$tableName,
[
new DynamoDBAttribute('year', 'N', 'HASH'),
new DynamoDBAttribute('title', 'S', 'RANGE')
]
);
public function createTable(string $tableName, array $attributes)
{
$keySchema = [];
$attributeDefinitions = [];
foreach ($attributes as $attribute) {
if (is_a($attribute, DynamoDBAttribute::class)) {
$keySchema[] = ['AttributeName' => $attribute->AttributeName, 'KeyType' => $attribute->KeyType];
$attributeDefinitions[] =
['AttributeName' => $attribute->AttributeName, 'AttributeType' => $attribute->AttributeType];
}
}
$this->dynamoDbClient->createTable([
'TableName' => $tableName,
'KeySchema' => $keySchema,
'AttributeDefinitions' => $attributeDefinitions,
'ProvisionedThroughput' => ['ReadCapacityUnits' => 10, 'WriteCapacityUnits' => 10],
]);
}
```
+ 如需 API 的詳細資訊，請參閱《*適用於 PHP 的 AWS SDK API 參考*》中的 [CreateTable](https://docs.aws.amazon.com/goto/SdkForPHPV3/dynamodb-2012-08-10/CreateTable)。
------
#### [ PowerShell ]
**Tools for PowerShell V4**
**範例 1：此範例會建立名為 Thread 的資料表，其主索引鍵包含 'ForumName' (索引鍵類型雜湊) 和 'Subject' (索引鍵類型範圍)。用來建構資料表的結構描述，可以使用 -Schema 參數，依照所示或指定方式輸送至每個 cmdlet。**
```
$schema = New-DDBTableSchema
$schema | Add-DDBKeySchema -KeyName "ForumName" -KeyDataType "S"
$schema | Add-DDBKeySchema -KeyName "Subject" -KeyType RANGE -KeyDataType "S"
$schema | New-DDBTable -TableName "Thread" -ReadCapacity 10 -WriteCapacity 5
```
**輸出：**
```
AttributeDefinitions : {ForumName, Subject}
TableName : Thread
KeySchema : {ForumName, Subject}
TableStatus : CREATING
CreationDateTime : 10/28/2013 4:39:49 PM
ProvisionedThroughput : Amazon.DynamoDBv2.Model.ProvisionedThroughputDescription
TableSizeBytes : 0
ItemCount : 0
LocalSecondaryIndexes : {}
```
**範例 2：此範例會建立名為 Thread 的資料表，其主索引鍵包含 'ForumName' (索引鍵類型雜湊) 和 'Subject' (索引鍵類型範圍)。也會定義本機次要索引。本機次要索引的索引鍵會從資料表 (ForumName) 上的主要雜湊索引鍵自動設定。用來建構資料表的結構描述，可以使用 -Schema 參數，依照所示或指定方式輸送至每個 cmdlet。**
```
$schema = New-DDBTableSchema
$schema | Add-DDBKeySchema -KeyName "ForumName" -KeyDataType "S"
$schema | Add-DDBKeySchema -KeyName "Subject" -KeyDataType "S"
$schema | Add-DDBIndexSchema -IndexName "LastPostIndex" -RangeKeyName "LastPostDateTime" -RangeKeyDataType "S" -ProjectionType "keys_only"
$schema | New-DDBTable -TableName "Thread" -ReadCapacity 10 -WriteCapacity 5
```
**輸出：**
```
AttributeDefinitions : {ForumName, LastPostDateTime, Subject}
TableName : Thread
KeySchema : {ForumName, Subject}
TableStatus : CREATING
CreationDateTime : 10/28/2013 4:39:49 PM
ProvisionedThroughput : Amazon.DynamoDBv2.Model.ProvisionedThroughputDescription
TableSizeBytes : 0
ItemCount : 0
LocalSecondaryIndexes : {LastPostIndex}
```
**範例 3：此範例示範如何使用單一管道建立名為 Thread 的資料表，該資料表的主索引鍵包含 'ForumName' (索引鍵類型雜湊) 和 'Subject' (索引鍵類型範圍) 以及本機次要索引。如果管道或 -Schema 參數未提供新的 TableSchema 物件，Add-DDBKeySchema 和 Add-DDBIndexSchema 會為您建立新的 TableSchema 物件。**
```
New-DDBTableSchema |
Add-DDBKeySchema -KeyName "ForumName" -KeyDataType "S" |
Add-DDBKeySchema -KeyName "Subject" -KeyDataType "S" |
Add-DDBIndexSchema -IndexName "LastPostIndex" `
-RangeKeyName "LastPostDateTime" `
-RangeKeyDataType "S" `
-ProjectionType "keys_only" |
New-DDBTable -TableName "Thread" -ReadCapacity 10 -WriteCapacity 5
```
**輸出：**
```
AttributeDefinitions : {ForumName, LastPostDateTime, Subject}
TableName : Thread
KeySchema : {ForumName, Subject}
TableStatus : CREATING
CreationDateTime : 10/28/2013 4:39:49 PM
ProvisionedThroughput : Amazon.DynamoDBv2.Model.ProvisionedThroughputDescription
TableSizeBytes : 0
ItemCount : 0
LocalSecondaryIndexes : {LastPostIndex}
```
+ 如需 API 詳細資訊，請參閱《AWS Tools for PowerShell Cmdlet 參考 (V4)》**中的 [CreateTable](https://docs.aws.amazon.com/powershell/v4/reference)。
**Tools for PowerShell V5**
**範例 1：此範例會建立名為 Thread 的資料表，其主索引鍵包含 'ForumName' (索引鍵類型雜湊) 和 'Subject' (索引鍵類型範圍)。用來建構資料表的結構描述，可以使用 -Schema 參數，依照所示或指定方式輸送至每個 cmdlet。**
```
$schema = New-DDBTableSchema
$schema | Add-DDBKeySchema -KeyName "ForumName" -KeyDataType "S"
$schema | Add-DDBKeySchema -KeyName "Subject" -KeyType RANGE -KeyDataType "S"
$schema | New-DDBTable -TableName "Thread" -ReadCapacity 10 -WriteCapacity 5
```
**輸出：**
```
AttributeDefinitions : {ForumName, Subject}
TableName : Thread
KeySchema : {ForumName, Subject}
TableStatus : CREATING
CreationDateTime : 10/28/2013 4:39:49 PM
ProvisionedThroughput : Amazon.DynamoDBv2.Model.ProvisionedThroughputDescription
TableSizeBytes : 0
ItemCount : 0
LocalSecondaryIndexes : {}
```
**範例 2：此範例會建立名為 Thread 的資料表，其主索引鍵包含 'ForumName' (索引鍵類型雜湊) 和 'Subject' (索引鍵類型範圍)。也會定義本機次要索引。本機次要索引的索引鍵會從資料表 (ForumName) 上的主要雜湊索引鍵自動設定。用來建構資料表的結構描述，可以使用 -Schema 參數，依照所示或指定方式輸送至每個 cmdlet。**
```
$schema = New-DDBTableSchema
$schema | Add-DDBKeySchema -KeyName "ForumName" -KeyDataType "S"
$schema | Add-DDBKeySchema -KeyName "Subject" -KeyDataType "S"
$schema | Add-DDBIndexSchema -IndexName "LastPostIndex" -RangeKeyName "LastPostDateTime" -RangeKeyDataType "S" -ProjectionType "keys_only"
$schema | New-DDBTable -TableName "Thread" -ReadCapacity 10 -WriteCapacity 5
```
**輸出：**
```
AttributeDefinitions : {ForumName, LastPostDateTime, Subject}
TableName : Thread
KeySchema : {ForumName, Subject}
TableStatus : CREATING
CreationDateTime : 10/28/2013 4:39:49 PM
ProvisionedThroughput : Amazon.DynamoDBv2.Model.ProvisionedThroughputDescription
TableSizeBytes : 0
ItemCount : 0
LocalSecondaryIndexes : {LastPostIndex}
```
**範例 3：此範例示範如何使用單一管道建立名為 Thread 的資料表，該資料表的主索引鍵包含 'ForumName' (索引鍵類型雜湊) 和 'Subject' (索引鍵類型範圍) 以及本機次要索引。如果管道或 -Schema 參數未提供新的 TableSchema 物件，Add-DDBKeySchema 和 Add-DDBIndexSchema 會為您建立新的 TableSchema 物件。**
```
New-DDBTableSchema |
Add-DDBKeySchema -KeyName "ForumName" -KeyDataType "S" |
Add-DDBKeySchema -KeyName "Subject" -KeyDataType "S" |
Add-DDBIndexSchema -IndexName "LastPostIndex" `
-RangeKeyName "LastPostDateTime" `
-RangeKeyDataType "S" `
-ProjectionType "keys_only" |
New-DDBTable -TableName "Thread" -ReadCapacity 10 -WriteCapacity 5
```
**輸出：**
```
AttributeDefinitions : {ForumName, LastPostDateTime, Subject}
TableName : Thread
KeySchema : {ForumName, Subject}
TableStatus : CREATING
CreationDateTime : 10/28/2013 4:39:49 PM
ProvisionedThroughput : Amazon.DynamoDBv2.Model.ProvisionedThroughputDescription
TableSizeBytes : 0
ItemCount : 0
LocalSecondaryIndexes : {LastPostIndex}
```
+ 如需 API 詳細資訊，請參閱*《AWS Tools for PowerShell Cmdlet 參考 (V5)》*中的 [CreateTable](https://docs.aws.amazon.com/powershell/v5/reference)。
------
#### [ Python ]
**適用於 Python (Boto3) 的 SDK**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/dynamodb#code-examples)中設定和執行。
建立用於存放電影資料的資料表。
```
class Movies:
"""Encapsulates an Amazon DynamoDB table of movie data.
Example data structure for a movie record in this table:
{
"year": 1999,
"title": "For Love of the Game",
"info": {
"directors": ["Sam Raimi"],
"release_date": "1999-09-15T00:00:00Z",
"rating": 6.3,
"plot": "A washed up pitcher flashes through his career.",
"rank": 4987,
"running_time_secs": 8220,
"actors": [
"Kevin Costner",
"Kelly Preston",
"John C. Reilly"
]
}
}
"""
def __init__(self, dyn_resource):
"""
:param dyn_resource: A Boto3 DynamoDB resource.
"""
self.dyn_resource = dyn_resource
# The table variable is set during the scenario in the call to
# 'exists' if the table exists. Otherwise, it is set by 'create_table'.
self.table = None
def create_table(self, table_name):
"""
Creates an Amazon DynamoDB table that can be used to store movie data.
The table uses the release year of the movie as the partition key and the
title as the sort key.
:param table_name: The name of the table to create.
:return: The newly created table.
"""
try:
self.table = self.dyn_resource.create_table(
TableName=table_name,
KeySchema=[
{"AttributeName": "year", "KeyType": "HASH"}, # Partition key
{"AttributeName": "title", "KeyType": "RANGE"}, # Sort key
],
AttributeDefinitions=[
{"AttributeName": "year", "AttributeType": "N"},
{"AttributeName": "title", "AttributeType": "S"},
],
BillingMode='PAY_PER_REQUEST',
)
self.table.wait_until_exists()
except ClientError as err:
logger.error(
"Couldn't create table %s. Here's why: %s: %s",
table_name,
err.response["Error"]["Code"],
err.response["Error"]["Message"],
)
raise
else:
return self.table
```
+ 如需 API 的詳細資訊，請參閱《*適用於 Python (Boto3) 的AWS SDK API 參考*》中的 [CreateTable](https://docs.aws.amazon.com/goto/boto3/dynamodb-2012-08-10/CreateTable)。
------
#### [ Ruby ]
**SDK for Ruby**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/ruby/example_code/dynamodb#code-examples)中設定和執行。
```
# Encapsulates an Amazon DynamoDB table of movie data.
class Scaffold
attr_reader :dynamo_resource, :table_name, :table
def initialize(table_name)
client = Aws::DynamoDB::Client.new(region: 'us-east-1')
@dynamo_resource = Aws::DynamoDB::Resource.new(client: client)
@table_name = table_name
@table = nil
@logger = Logger.new($stdout)
@logger.level = Logger::DEBUG
end
# Creates an Amazon DynamoDB table that can be used to store movie data.
# The table uses the release year of the movie as the partition key and the
# title as the sort key.
#
# @param table_name [String] The name of the table to create.
# @return [Aws::DynamoDB::Table] The newly created table.
def create_table(table_name)
@table = @dynamo_resource.create_table(
table_name: table_name,
key_schema: [
{ attribute_name: 'year', key_type: 'HASH' }, # Partition key
{ attribute_name: 'title', key_type: 'RANGE' } # Sort key
],
attribute_definitions: [
{ attribute_name: 'year', attribute_type: 'N' },
{ attribute_name: 'title', attribute_type: 'S' }
],
billing_mode: 'PAY_PER_REQUEST'
)
@dynamo_resource.client.wait_until(:table_exists, table_name: table_name)
@table
rescue Aws::DynamoDB::Errors::ServiceError => e
@logger.error("Failed create table #{table_name}:\n#{e.code}: #{e.message}")
raise
end
```
+ 如需 API 的詳細資訊，請參閱《*適用於 Ruby 的 AWS SDK API 參考*》中的 [CreateTable](https://docs.aws.amazon.com/goto/SdkForRubyV3/dynamodb-2012-08-10/CreateTable)。
------
#### [ Rust ]
**適用於 Rust 的 SDK**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/dynamodb#code-examples)中設定和執行。
```
pub async fn create_table(
client: &Client,
table: &str,
key: &str,
) -> Result {
let a_name: String = key.into();
let table_name: String = table.into();
let ad = AttributeDefinition::builder()
.attribute_name(&a_name)
.attribute_type(ScalarAttributeType::S)
.build()
.map_err(Error::BuildError)?;
let ks = KeySchemaElement::builder()
.attribute_name(&a_name)
.key_type(KeyType::Hash)
.build()
.map_err(Error::BuildError)?;
let create_table_response = client
.create_table()
.table_name(table_name)
.key_schema(ks)
.attribute_definitions(ad)
.billing_mode(BillingMode::PayPerRequest)
.send()
.await;
match create_table_response {
Ok(out) => {
println!("Added table {} with key {}", table, key);
Ok(out)
}
Err(e) => {
eprintln!("Got an error creating table:");
eprintln!("{}", e);
Err(Error::unhandled(e))
}
}
}
```
+ 如需 API 的詳細資訊，請參閱《*適用於 Rust 的AWS SDK API 參考*》中的 [CreateTable](https://docs.rs/aws-sdk-dynamodb/latest/aws_sdk_dynamodb/client/struct.Client.html#method.create_table)。
------
#### [ SAP ABAP ]
**適用於 SAP ABAP 的開發套件**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/dyn#code-examples)中設定和執行。
```
TRY.
DATA(lt_keyschema) = VALUE /aws1/cl_dynkeyschemaelement=>tt_keyschema(
( NEW /aws1/cl_dynkeyschemaelement( iv_attributename = 'year'
iv_keytype = 'HASH' ) )
( NEW /aws1/cl_dynkeyschemaelement( iv_attributename = 'title'
iv_keytype = 'RANGE' ) ) ).
DATA(lt_attributedefinitions) = VALUE /aws1/cl_dynattributedefn=>tt_attributedefinitions(
( NEW /aws1/cl_dynattributedefn( iv_attributename = 'year'
iv_attributetype = 'N' ) )
( NEW /aws1/cl_dynattributedefn( iv_attributename = 'title'
iv_attributetype = 'S' ) ) ).
" Adjust read/write capacities as desired.
DATA(lo_dynprovthroughput) = NEW /aws1/cl_dynprovthroughput(
iv_readcapacityunits = 5
iv_writecapacityunits = 5 ).
oo_result = lo_dyn->createtable(
it_keyschema = lt_keyschema
iv_tablename = iv_table_name
it_attributedefinitions = lt_attributedefinitions
io_provisionedthroughput = lo_dynprovthroughput ).
" Table creation can take some time. Wait till table exists before returning.
lo_dyn->get_waiter( )->tableexists(
iv_max_wait_time = 200
iv_tablename = iv_table_name ).
MESSAGE 'DynamoDB Table' && iv_table_name && 'created.' TYPE 'I'.
" This exception can happen if the table already exists.
CATCH /aws1/cx_dynresourceinuseex INTO DATA(lo_resourceinuseex).
DATA(lv_error) = |"{ lo_resourceinuseex->av_err_code }" - { lo_resourceinuseex->av_err_msg }|.
MESSAGE lv_error TYPE 'E'.
ENDTRY.
```
+ 如需 API 詳細資訊，請參閱《*適用於 SAP ABAP 的AWS SDK API 參考*》中的 [CreateTable](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)。
------
#### [ Swift ]
**適用於 Swift 的 SDK**
GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/swift/example_code/dynamodb#code-examples)中設定和執行。
```
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)
],
billingMode: DynamoDBClientTypes.BillingMode.payPerRequest,
keySchema: [
DynamoDBClientTypes.KeySchemaElement(attributeName: "year", keyType: .hash),
DynamoDBClientTypes.KeySchemaElement(attributeName: "title", keyType: .range)
],
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
}
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 Swift 的AWS SDK API 參考*》中的 [CreateTable](https://sdk.amazonaws.com/swift/api/awsdynamodb/latest/documentation/awsdynamodb/dynamodbclient/createtable(input:))。
------