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Class: Aws::DynamoDB::Client

Inherits:
Seahorse::Client::Base show all
Includes:
ClientStubs
Defined in:
gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/customizations/client.rb,
gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb

Instance Attribute Summary

Attributes inherited from Seahorse::Client::Base

#config, #handlers

API Operations collapse

Instance Method Summary collapse

Methods included from ClientStubs

#stub_responses

Methods inherited from Seahorse::Client::Base

add_plugin, api, clear_plugins, define, new, #operation_names, plugins, remove_plugin, set_api, set_plugins

Methods included from Seahorse::Client::HandlerBuilder

#handle, #handle_request, #handle_response

Constructor Details

#initialize(*args) ⇒ Client

Returns a new instance of Client

Parameters:

  • options (Hash)

    a customizable set of options



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 179

def initialize(*args)
  super
end

Instance Method Details

#batch_get_item(params = {}) ⇒ Types::BatchGetItemOutput

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 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 ProjectionExpression 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 in the Amazon DynamoDB Developer Guide.

Examples:

Example: To retrieve multiple items from a table


# This example reads multiple items from the Music table using a batch of three GetItem requests.  Only the AlbumTitle attribute is returned.

resp = client.batch_get_item({
  request_items: {
    "Music" => {
      keys: [
        {
          "Artist" => {
            s: "No One You Know", 
          }, 
          "SongTitle" => {
            s: "Call Me Today", 
          }, 
        }, 
        {
          "Artist" => {
            s: "Acme Band", 
          }, 
          "SongTitle" => {
            s: "Happy Day", 
          }, 
        }, 
        {
          "Artist" => {
            s: "No One You Know", 
          }, 
          "SongTitle" => {
            s: "Scared of My Shadow", 
          }, 
        }, 
      ], 
      projection_expression: "AlbumTitle", 
    }, 
  }, 
})

resp.to_h outputs the following:
{
  responses: {
    "Music" => [
      {
        "AlbumTitle" => {
          s: "Somewhat Famous", 
        }, 
      }, 
      {
        "AlbumTitle" => {
          s: "Blue Sky Blues", 
        }, 
      }, 
      {
        "AlbumTitle" => {
          s: "Louder Than Ever", 
        }, 
      }, 
    ], 
  }, 
}

Request syntax with placeholder values


resp = client.batch_get_item({
  request_items: { # required
    "TableName" => {
      keys: [ # required
        {
          "AttributeName" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
        },
      ],
      attributes_to_get: ["AttributeName"],
      consistent_read: false,
      projection_expression: "ProjectionExpression",
      expression_attribute_names: {
        "ExpressionAttributeNameVariable" => "AttributeName",
      },
    },
  },
  return_consumed_capacity: "INDEXES", # accepts INDEXES, TOTAL, NONE
})

Response structure


resp.responses #=> Hash
resp.responses["TableName"] #=> Array
resp.responses["TableName"][0] #=> Hash
resp.responses["TableName"][0]["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.unprocessed_keys #=> Hash
resp.unprocessed_keys["TableName"].keys #=> Array
resp.unprocessed_keys["TableName"].keys[0] #=> Hash
resp.unprocessed_keys["TableName"].keys[0]["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.unprocessed_keys["TableName"].attributes_to_get #=> Array
resp.unprocessed_keys["TableName"].attributes_to_get[0] #=> String
resp.unprocessed_keys["TableName"].consistent_read #=> Boolean
resp.unprocessed_keys["TableName"].projection_expression #=> String
resp.unprocessed_keys["TableName"].expression_attribute_names #=> Hash
resp.unprocessed_keys["TableName"].expression_attribute_names["ExpressionAttributeNameVariable"] #=> String
resp.consumed_capacity #=> Array
resp.consumed_capacity[0].table_name #=> String
resp.consumed_capacity[0].capacity_units #=> Float
resp.consumed_capacity[0].table.capacity_units #=> Float
resp.consumed_capacity[0].local_secondary_indexes #=> Hash
resp.consumed_capacity[0].local_secondary_indexes["IndexName"].capacity_units #=> Float
resp.consumed_capacity[0].global_secondary_indexes #=> Hash
resp.consumed_capacity[0].global_secondary_indexes["IndexName"].capacity_units #=> Float

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :request_items (required, Hash<String,Types::KeysAndAttributes>)

    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

      ^

      The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames:

      • \{"#P":"Percentile"\}

      ^

      You could then use this substitution in an expression, as in this example:

      • #P = :val

      ^

      Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.

      For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.

    • Keys - An array of primary key attribute values that define specific items in the table. For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide the partition key value. For a composite key, you must provide both the partition key value and the sort key value.

    • ProjectionExpression - A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.

      If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.

      For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.

    • AttributesToGet - This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide.

  • :return_consumed_capacity (String)

    Determines the level of detail about provisioned throughput consumption that is returned in the response:

    • INDEXES - The response includes the aggregate ConsumedCapacity for the operation, together with ConsumedCapacity for each table and secondary index that was accessed.

      Note that some operations, such as GetItem and BatchGetItem, do not access any indexes at all. In these cases, specifying INDEXES will only return ConsumedCapacity information for table(s).

    • TOTAL - The response includes only the aggregate ConsumedCapacity for the operation.

    • NONE - No ConsumedCapacity details are included in the response.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 469

def batch_get_item(params = {}, options = {})
  req = build_request(:batch_get_item, params)
  req.send_request(options)
end

#batch_write_item(params = {}) ⇒ Types::BatchWriteItemOutput

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 action.

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 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 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.

Examples:

Example: To add multiple items to a table


# This example adds three new items to the Music table using a batch of three PutItem requests.

resp = client.batch_write_item({
  request_items: {
    "Music" => [
      {
        put_request: {
          item: {
            "AlbumTitle" => {
              s: "Somewhat Famous", 
            }, 
            "Artist" => {
              s: "No One You Know", 
            }, 
            "SongTitle" => {
              s: "Call Me Today", 
            }, 
          }, 
        }, 
      }, 
      {
        put_request: {
          item: {
            "AlbumTitle" => {
              s: "Songs About Life", 
            }, 
            "Artist" => {
              s: "Acme Band", 
            }, 
            "SongTitle" => {
              s: "Happy Day", 
            }, 
          }, 
        }, 
      }, 
      {
        put_request: {
          item: {
            "AlbumTitle" => {
              s: "Blue Sky Blues", 
            }, 
            "Artist" => {
              s: "No One You Know", 
            }, 
            "SongTitle" => {
              s: "Scared of My Shadow", 
            }, 
          }, 
        }, 
      }, 
    ], 
  }, 
})

resp.to_h outputs the following:
{
}

Request syntax with placeholder values


resp = client.batch_write_item({
  request_items: { # required
    "TableName" => [
      {
        put_request: {
          item: { # required
            "AttributeName" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
          },
        },
        delete_request: {
          key: { # required
            "AttributeName" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
          },
        },
      },
    ],
  },
  return_consumed_capacity: "INDEXES", # accepts INDEXES, TOTAL, NONE
  return_item_collection_metrics: "SIZE", # accepts SIZE, NONE
})

Response structure


resp.unprocessed_items #=> Hash
resp.unprocessed_items["TableName"] #=> Array
resp.unprocessed_items["TableName"][0].put_request.item #=> Hash
resp.unprocessed_items["TableName"][0].put_request.item["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.unprocessed_items["TableName"][0].delete_request.key #=> Hash
resp.unprocessed_items["TableName"][0].delete_request.key["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.item_collection_metrics #=> Hash
resp.item_collection_metrics["TableName"] #=> Array
resp.item_collection_metrics["TableName"][0].item_collection_key #=> Hash
resp.item_collection_metrics["TableName"][0].item_collection_key["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.item_collection_metrics["TableName"][0].size_estimate_range_gb #=> Array
resp.item_collection_metrics["TableName"][0].size_estimate_range_gb[0] #=> Float
resp.consumed_capacity #=> Array
resp.consumed_capacity[0].table_name #=> String
resp.consumed_capacity[0].capacity_units #=> Float
resp.consumed_capacity[0].table.capacity_units #=> Float
resp.consumed_capacity[0].local_secondary_indexes #=> Hash
resp.consumed_capacity[0].local_secondary_indexes["IndexName"].capacity_units #=> Float
resp.consumed_capacity[0].global_secondary_indexes #=> Hash
resp.consumed_capacity[0].global_secondary_indexes["IndexName"].capacity_units #=> Float

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :request_items (required, Hash<String,Array>)

    A map of one or more table names and, for each table, a list of operations to be performed (DeleteRequest or PutRequest). Each element in the map consists of the following:

    • DeleteRequest - Perform a DeleteItem operation on the specified item. The item to be deleted is identified by a Key subelement:

      • Key - A map of primary key attribute values that uniquely identify the item. Each entry in this map consists of an attribute name and an attribute value. For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.

      ^

    • PutRequest - Perform a PutItem operation on the specified item. The item to be put is identified by an Item subelement:

      • Item - A map of attributes and their values. Each entry in this map consists of an attribute name and an attribute value. Attribute values must not be null; string and binary type attributes must have lengths greater than zero; and set type attributes must not be empty. Requests that contain empty values will be rejected with a ValidationException exception.

        If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.

  • :return_consumed_capacity (String)

    Determines the level of detail about provisioned throughput consumption that is returned in the response:

    • INDEXES - The response includes the aggregate ConsumedCapacity for the operation, together with ConsumedCapacity for each table and secondary index that was accessed.

      Note that some operations, such as GetItem and BatchGetItem, do not access any indexes at all. In these cases, specifying INDEXES will only return ConsumedCapacity information for table(s).

    • TOTAL - The response includes only the aggregate ConsumedCapacity for the operation.

    • NONE - No ConsumedCapacity details are included in the response.

  • :return_item_collection_metrics (String)

    Determines whether item collection metrics are returned. If set to SIZE, the response includes statistics about item collections, if any, that were modified during the operation are returned in the response. If set to NONE (the default), no statistics are returned.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 729

def batch_write_item(params = {}, options = {})
  req = build_request(:batch_write_item, params)
  req.send_request(options)
end

#create_table(params = {}) ⇒ Types::CreateTableOutput

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 action to check the table status.

Examples:

Example: To create a table


# This example creates a table named Music.

resp = client.create_table({
  attribute_definitions: [
    {
      attribute_name: "Artist", 
      attribute_type: "S", 
    }, 
    {
      attribute_name: "SongTitle", 
      attribute_type: "S", 
    }, 
  ], 
  key_schema: [
    {
      attribute_name: "Artist", 
      key_type: "HASH", 
    }, 
    {
      attribute_name: "SongTitle", 
      key_type: "RANGE", 
    }, 
  ], 
  provisioned_throughput: {
    read_capacity_units: 5, 
    write_capacity_units: 5, 
  }, 
  table_name: "Music", 
})

resp.to_h outputs the following:
{
  table_description: {
    attribute_definitions: [
      {
        attribute_name: "Artist", 
        attribute_type: "S", 
      }, 
      {
        attribute_name: "SongTitle", 
        attribute_type: "S", 
      }, 
    ], 
    creation_date_time: Time.parse("1421866952.062"), 
    item_count: 0, 
    key_schema: [
      {
        attribute_name: "Artist", 
        key_type: "HASH", 
      }, 
      {
        attribute_name: "SongTitle", 
        key_type: "RANGE", 
      }, 
    ], 
    provisioned_throughput: {
      read_capacity_units: 5, 
      write_capacity_units: 5, 
    }, 
    table_name: "Music", 
    table_size_bytes: 0, 
    table_status: "CREATING", 
  }, 
}

Request syntax with placeholder values


resp = client.create_table({
  attribute_definitions: [ # required
    {
      attribute_name: "KeySchemaAttributeName", # required
      attribute_type: "S", # required, accepts S, N, B
    },
  ],
  table_name: "TableName", # required
  key_schema: [ # required
    {
      attribute_name: "KeySchemaAttributeName", # required
      key_type: "HASH", # required, accepts HASH, RANGE
    },
  ],
  local_secondary_indexes: [
    {
      index_name: "IndexName", # required
      key_schema: [ # required
        {
          attribute_name: "KeySchemaAttributeName", # required
          key_type: "HASH", # required, accepts HASH, RANGE
        },
      ],
      projection: { # required
        projection_type: "ALL", # accepts ALL, KEYS_ONLY, INCLUDE
        non_key_attributes: ["NonKeyAttributeName"],
      },
    },
  ],
  global_secondary_indexes: [
    {
      index_name: "IndexName", # required
      key_schema: [ # required
        {
          attribute_name: "KeySchemaAttributeName", # required
          key_type: "HASH", # required, accepts HASH, RANGE
        },
      ],
      projection: { # required
        projection_type: "ALL", # accepts ALL, KEYS_ONLY, INCLUDE
        non_key_attributes: ["NonKeyAttributeName"],
      },
      provisioned_throughput: { # required
        read_capacity_units: 1, # required
        write_capacity_units: 1, # required
      },
    },
  ],
  provisioned_throughput: { # required
    read_capacity_units: 1, # required
    write_capacity_units: 1, # required
  },
  stream_specification: {
    stream_enabled: false,
    stream_view_type: "NEW_IMAGE", # accepts NEW_IMAGE, OLD_IMAGE, NEW_AND_OLD_IMAGES, KEYS_ONLY
  },
})

Response structure


resp.table_description.attribute_definitions #=> Array
resp.table_description.attribute_definitions[0].attribute_name #=> String
resp.table_description.attribute_definitions[0].attribute_type #=> String, one of "S", "N", "B"
resp.table_description.table_name #=> String
resp.table_description.key_schema #=> Array
resp.table_description.key_schema[0].attribute_name #=> String
resp.table_description.key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table_description.table_status #=> String, one of "CREATING", "UPDATING", "DELETING", "ACTIVE"
resp.table_description.creation_date_time #=> Time
resp.table_description.provisioned_throughput.last_increase_date_time #=> Time
resp.table_description.provisioned_throughput.last_decrease_date_time #=> Time
resp.table_description.provisioned_throughput.number_of_decreases_today #=> Integer
resp.table_description.provisioned_throughput.read_capacity_units #=> Integer
resp.table_description.provisioned_throughput.write_capacity_units #=> Integer
resp.table_description.table_size_bytes #=> Integer
resp.table_description.item_count #=> Integer
resp.table_description.table_arn #=> String
resp.table_description.local_secondary_indexes #=> Array
resp.table_description.local_secondary_indexes[0].index_name #=> String
resp.table_description.local_secondary_indexes[0].key_schema #=> Array
resp.table_description.local_secondary_indexes[0].key_schema[0].attribute_name #=> String
resp.table_description.local_secondary_indexes[0].key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table_description.local_secondary_indexes[0].projection.projection_type #=> String, one of "ALL", "KEYS_ONLY", "INCLUDE"
resp.table_description.local_secondary_indexes[0].projection.non_key_attributes #=> Array
resp.table_description.local_secondary_indexes[0].projection.non_key_attributes[0] #=> String
resp.table_description.local_secondary_indexes[0].index_size_bytes #=> Integer
resp.table_description.local_secondary_indexes[0].item_count #=> Integer
resp.table_description.local_secondary_indexes[0].index_arn #=> String
resp.table_description.global_secondary_indexes #=> Array
resp.table_description.global_secondary_indexes[0].index_name #=> String
resp.table_description.global_secondary_indexes[0].key_schema #=> Array
resp.table_description.global_secondary_indexes[0].key_schema[0].attribute_name #=> String
resp.table_description.global_secondary_indexes[0].key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table_description.global_secondary_indexes[0].projection.projection_type #=> String, one of "ALL", "KEYS_ONLY", "INCLUDE"
resp.table_description.global_secondary_indexes[0].projection.non_key_attributes #=> Array
resp.table_description.global_secondary_indexes[0].projection.non_key_attributes[0] #=> String
resp.table_description.global_secondary_indexes[0].index_status #=> String, one of "CREATING", "UPDATING", "DELETING", "ACTIVE"
resp.table_description.global_secondary_indexes[0].backfilling #=> Boolean
resp.table_description.global_secondary_indexes[0].provisioned_throughput.last_increase_date_time #=> Time
resp.table_description.global_secondary_indexes[0].provisioned_throughput.last_decrease_date_time #=> Time
resp.table_description.global_secondary_indexes[0].provisioned_throughput.number_of_decreases_today #=> Integer
resp.table_description.global_secondary_indexes[0].provisioned_throughput.read_capacity_units #=> Integer
resp.table_description.global_secondary_indexes[0].provisioned_throughput.write_capacity_units #=> Integer
resp.table_description.global_secondary_indexes[0].index_size_bytes #=> Integer
resp.table_description.global_secondary_indexes[0].item_count #=> Integer
resp.table_description.global_secondary_indexes[0].index_arn #=> String
resp.table_description.stream_specification.stream_enabled #=> Boolean
resp.table_description.stream_specification.stream_view_type #=> String, one of "NEW_IMAGE", "OLD_IMAGE", "NEW_AND_OLD_IMAGES", "KEYS_ONLY"
resp.table_description.latest_stream_label #=> String
resp.table_description.latest_stream_arn #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :attribute_definitions (required, Array<Types::AttributeDefinition>)

    An array of attributes that describe the key schema for the table and indexes.

  • :table_name (required, String)

    The name of the table to create.

  • :key_schema (required, Array<Types::KeySchemaElement>)

    Specifies the attributes that make up the primary key for a table or an index. The attributes in KeySchema must also be defined in the AttributeDefinitions array. For more information, see Data Model in the Amazon DynamoDB Developer Guide.

    Each KeySchemaElement in the array is composed of:

    • AttributeName - The name of this key attribute.

    • KeyType - The role that the key attribute will assume:

      • HASH - partition key

      • RANGE - sort key

    The partition key of an item is also known as its hash attribute. The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.

    The sort key of an item is also known as its range attribute. The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.

    For a simple primary key (partition key), you must provide exactly one element with a KeyType of HASH.

    For a composite primary key (partition key and sort key), you must provide exactly two elements, in this order: The first element must have a KeyType of HASH, and the second element must have a KeyType of RANGE.

    For more information, see Specifying the Primary Key in the Amazon DynamoDB Developer Guide.

  • :local_secondary_indexes (Array<Types::LocalSecondaryIndex>)

    One or more local secondary indexes (the maximum is five) to be created on the table. Each index is scoped to a given partition key value. There is a 10 GB size limit per partition key value; otherwise, the size of a local secondary index is unconstrained.

    Each local secondary index in the array includes the following:

    • IndexName - The name of the local secondary index. Must be unique only for this table.

    • KeySchema - Specifies the key schema for the local secondary index. The key schema must begin with the same partition key as the table.

    • Projection - Specifies attributes that are copied (projected) from the table into the index. These are in addition to the primary key attributes and index key attributes, which are automatically projected. Each attribute specification is composed of:

      • ProjectionType - One of the following:

        • KEYS_ONLY - Only the index and primary keys are projected into the index.

        • INCLUDE - Only the specified table attributes are projected into the index. The list of projected attributes are in NonKeyAttributes.

        • ALL - All of the table attributes are projected into the index.

      • NonKeyAttributes - A list of one or more non-key attribute names that are projected into the secondary index. The total count of attributes provided in NonKeyAttributes, summed across all of the secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.

  • :global_secondary_indexes (Array<Types::GlobalSecondaryIndex>)

    One or more global secondary indexes (the maximum is five) to be created on the table. Each global secondary index in the array includes the following:

    • IndexName - The name of the global secondary index. Must be unique only for this table.

    • KeySchema - Specifies the key schema for the global secondary index.

    • Projection - Specifies attributes that are copied (projected) from the table into the index. These are in addition to the primary key attributes and index key attributes, which are automatically projected. Each attribute specification is composed of:

      • ProjectionType - One of the following:

        • KEYS_ONLY - Only the index and primary keys are projected into the index.

        • INCLUDE - Only the specified table attributes are projected into the index. The list of projected attributes are in NonKeyAttributes.

        • ALL - All of the table attributes are projected into the index.

      • NonKeyAttributes - A list of one or more non-key attribute names that are projected into the secondary index. The total count of attributes provided in NonKeyAttributes, summed across all of the secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.

    • ProvisionedThroughput - The provisioned throughput settings for the global secondary index, consisting of read and write capacity units.

  • :provisioned_throughput (required, Types::ProvisionedThroughput)

    Represents the provisioned throughput settings for a specified table or index. The settings can be modified using the UpdateTable operation.

    For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide.

  • :stream_specification (Types::StreamSpecification)

    The settings for DynamoDB Streams on the table. These settings consist of:

    • StreamEnabled - Indicates whether Streams is to be enabled (true) or disabled (false).

    • StreamViewType - When an item in the table is modified, StreamViewType determines what information is written to the table's stream. Valid values for StreamViewType are:

      • KEYS_ONLY - Only the key attributes of the modified item are written to the stream.

      • NEW_IMAGE - The entire item, as it appears after it was modified, is written to the stream.

      • OLD_IMAGE - The entire item, as it appeared before it was modified, is written to the stream.

      • NEW_AND_OLD_IMAGES - Both the new and the old item images of the item are written to the stream.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 1110

def create_table(params = {}, options = {})
  req = build_request(:create_table, params)
  req.send_request(options)
end

#delete_item(params = {}) ⇒ Types::DeleteItemOutput

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.

Examples:

Example: To delete an item


# This example deletes an item from the Music table.

resp = client.delete_item({
  key: {
    "Artist" => {
      s: "No One You Know", 
    }, 
    "SongTitle" => {
      s: "Scared of My Shadow", 
    }, 
  }, 
  table_name: "Music", 
})

resp.to_h outputs the following:
{
  consumed_capacity: {
    capacity_units: 1, 
    table_name: "Music", 
  }, 
}

Request syntax with placeholder values


resp = client.delete_item({
  table_name: "TableName", # required
  key: { # required
    "AttributeName" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
  },
  expected: {
    "AttributeName" => {
      value: "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
      exists: false,
      comparison_operator: "EQ", # accepts EQ, NE, IN, LE, LT, GE, GT, BETWEEN, NOT_NULL, NULL, CONTAINS, NOT_CONTAINS, BEGINS_WITH
      attribute_value_list: ["value"], # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
    },
  },
  conditional_operator: "AND", # accepts AND, OR
  return_values: "NONE", # accepts NONE, ALL_OLD, UPDATED_OLD, ALL_NEW, UPDATED_NEW
  return_consumed_capacity: "INDEXES", # accepts INDEXES, TOTAL, NONE
  return_item_collection_metrics: "SIZE", # accepts SIZE, NONE
  condition_expression: "ConditionExpression",
  expression_attribute_names: {
    "ExpressionAttributeNameVariable" => "AttributeName",
  },
  expression_attribute_values: {
    "ExpressionAttributeValueVariable" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
  },
})

Response structure


resp.attributes #=> Hash
resp.attributes["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.consumed_capacity.table_name #=> String
resp.consumed_capacity.capacity_units #=> Float
resp.consumed_capacity.table.capacity_units #=> Float
resp.consumed_capacity.local_secondary_indexes #=> Hash
resp.consumed_capacity.local_secondary_indexes["IndexName"].capacity_units #=> Float
resp.consumed_capacity.global_secondary_indexes #=> Hash
resp.consumed_capacity.global_secondary_indexes["IndexName"].capacity_units #=> Float
resp.item_collection_metrics.item_collection_key #=> Hash
resp.item_collection_metrics.item_collection_key["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.item_collection_metrics.size_estimate_range_gb #=> Array
resp.item_collection_metrics.size_estimate_range_gb[0] #=> Float

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :table_name (required, String)

    The name of the table from which to delete the item.

  • :key (required, Hash<String,Types::AttributeValue>)

    A map of attribute names to AttributeValue objects, representing the primary key of the item to delete.

    For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.

  • :expected (Hash<String,Types::ExpectedAttributeValue>)

    This is a legacy parameter. Use ConditionExpression instead. For more information, see Expected in the Amazon DynamoDB Developer Guide.

  • :conditional_operator (String)

    This is a legacy parameter. Use ConditionExpression instead. For more information, see ConditionalOperator in the Amazon DynamoDB Developer Guide.

  • :return_values (String)

    Use ReturnValues if you want to get the item attributes as they appeared before they were deleted. For DeleteItem, the valid values are:

    • NONE - If ReturnValues is not specified, or if its value is NONE, then nothing is returned. (This setting is the default for ReturnValues.)

    • ALL_OLD - The content of the old item is returned.

    The ReturnValues parameter is used by several DynamoDB operations; however, DeleteItem does not recognize any values other than NONE or ALL_OLD.

  • :return_consumed_capacity (String)

    Determines the level of detail about provisioned throughput consumption that is returned in the response:

    • INDEXES - The response includes the aggregate ConsumedCapacity for the operation, together with ConsumedCapacity for each table and secondary index that was accessed.

      Note that some operations, such as GetItem and BatchGetItem, do not access any indexes at all. In these cases, specifying INDEXES will only return ConsumedCapacity information for table(s).

    • TOTAL - The response includes only the aggregate ConsumedCapacity for the operation.

    • NONE - No ConsumedCapacity details are included in the response.

  • :return_item_collection_metrics (String)

    Determines whether item collection metrics are returned. If set to SIZE, the response includes statistics about item collections, if any, that were modified during the operation are returned in the response. If set to NONE (the default), no statistics are returned.

  • :condition_expression (String)

    A condition that must be satisfied in order for a conditional DeleteItem to succeed.

    An expression can contain any of the following:

    • Functions: attribute_exists | attribute_not_exists | attribute_type | contains | begins_with | size

      These function names are case-sensitive.

    • Comparison operators: = | <> | < | > | <= | >= | BETWEEN | IN

    • Logical operators: AND | OR | NOT

    For more information on condition expressions, see Specifying Conditions in the Amazon DynamoDB Developer Guide.

  • :expression_attribute_names (Hash<String,String>)

    One or more substitution tokens for attribute names in an expression. 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

    ^

    The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames:

    • \{"#P":"Percentile"\}

    ^

    You could then use this substitution in an expression, as in this example:

    • #P = :val

    ^

    Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.

    For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.

  • :expression_attribute_values (Hash<String,Types::AttributeValue>)

    One or more values that can be substituted in an expression.

    Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:

    Available | Backordered | Discontinued

    You would first need to specify ExpressionAttributeValues as follows:

    \{ ":avail":\{"S":"Available"\}, ":back":\{"S":"Backordered"\}, ":disc":\{"S":"Discontinued"\} \}

    You could then use these values in an expression, such as this:

    ProductStatus IN (:avail, :back, :disc)

    For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 1379

def delete_item(params = {}, options = {})
  req = build_request(:delete_item, params)
  req.send_request(options)
end

#delete_table(params = {}) ⇒ Types::DeleteTableOutput

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 action to check the status of the table.

Examples:

Example: To delete a table


# This example deletes the Music table.

resp = client.delete_table({
  table_name: "Music", 
})

resp.to_h outputs the following:
{
  table_description: {
    item_count: 0, 
    provisioned_throughput: {
      number_of_decreases_today: 1, 
      read_capacity_units: 5, 
      write_capacity_units: 5, 
    }, 
    table_name: "Music", 
    table_size_bytes: 0, 
    table_status: "DELETING", 
  }, 
}

Request syntax with placeholder values


resp = client.delete_table({
  table_name: "TableName", # required
})

Response structure


resp.table_description.attribute_definitions #=> Array
resp.table_description.attribute_definitions[0].attribute_name #=> String
resp.table_description.attribute_definitions[0].attribute_type #=> String, one of "S", "N", "B"
resp.table_description.table_name #=> String
resp.table_description.key_schema #=> Array
resp.table_description.key_schema[0].attribute_name #=> String
resp.table_description.key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table_description.table_status #=> String, one of "CREATING", "UPDATING", "DELETING", "ACTIVE"
resp.table_description.creation_date_time #=> Time
resp.table_description.provisioned_throughput.last_increase_date_time #=> Time
resp.table_description.provisioned_throughput.last_decrease_date_time #=> Time
resp.table_description.provisioned_throughput.number_of_decreases_today #=> Integer
resp.table_description.provisioned_throughput.read_capacity_units #=> Integer
resp.table_description.provisioned_throughput.write_capacity_units #=> Integer
resp.table_description.table_size_bytes #=> Integer
resp.table_description.item_count #=> Integer
resp.table_description.table_arn #=> String
resp.table_description.local_secondary_indexes #=> Array
resp.table_description.local_secondary_indexes[0].index_name #=> String
resp.table_description.local_secondary_indexes[0].key_schema #=> Array
resp.table_description.local_secondary_indexes[0].key_schema[0].attribute_name #=> String
resp.table_description.local_secondary_indexes[0].key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table_description.local_secondary_indexes[0].projection.projection_type #=> String, one of "ALL", "KEYS_ONLY", "INCLUDE"
resp.table_description.local_secondary_indexes[0].projection.non_key_attributes #=> Array
resp.table_description.local_secondary_indexes[0].projection.non_key_attributes[0] #=> String
resp.table_description.local_secondary_indexes[0].index_size_bytes #=> Integer
resp.table_description.local_secondary_indexes[0].item_count #=> Integer
resp.table_description.local_secondary_indexes[0].index_arn #=> String
resp.table_description.global_secondary_indexes #=> Array
resp.table_description.global_secondary_indexes[0].index_name #=> String
resp.table_description.global_secondary_indexes[0].key_schema #=> Array
resp.table_description.global_secondary_indexes[0].key_schema[0].attribute_name #=> String
resp.table_description.global_secondary_indexes[0].key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table_description.global_secondary_indexes[0].projection.projection_type #=> String, one of "ALL", "KEYS_ONLY", "INCLUDE"
resp.table_description.global_secondary_indexes[0].projection.non_key_attributes #=> Array
resp.table_description.global_secondary_indexes[0].projection.non_key_attributes[0] #=> String
resp.table_description.global_secondary_indexes[0].index_status #=> String, one of "CREATING", "UPDATING", "DELETING", "ACTIVE"
resp.table_description.global_secondary_indexes[0].backfilling #=> Boolean
resp.table_description.global_secondary_indexes[0].provisioned_throughput.last_increase_date_time #=> Time
resp.table_description.global_secondary_indexes[0].provisioned_throughput.last_decrease_date_time #=> Time
resp.table_description.global_secondary_indexes[0].provisioned_throughput.number_of_decreases_today #=> Integer
resp.table_description.global_secondary_indexes[0].provisioned_throughput.read_capacity_units #=> Integer
resp.table_description.global_secondary_indexes[0].provisioned_throughput.write_capacity_units #=> Integer
resp.table_description.global_secondary_indexes[0].index_size_bytes #=> Integer
resp.table_description.global_secondary_indexes[0].item_count #=> Integer
resp.table_description.global_secondary_indexes[0].index_arn #=> String
resp.table_description.stream_specification.stream_enabled #=> Boolean
resp.table_description.stream_specification.stream_view_type #=> String, one of "NEW_IMAGE", "OLD_IMAGE", "NEW_AND_OLD_IMAGES", "KEYS_ONLY"
resp.table_description.latest_stream_label #=> String
resp.table_description.latest_stream_arn #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :table_name (required, String)

    The name of the table to delete.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 1501

def delete_table(params = {}, options = {})
  req = build_request(:delete_table, params)
  req.send_request(options)
end

#describe_limits(params = {}) ⇒ Types::DescribeLimitsOutput

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 page in the Amazon DynamoDB Developer Guide.

Although you can increase these limits by filing a case at AWS Support Center, obtaining the increase is not instantaneous. The DescribeLimits action 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:

  1. Call DescribeLimits for a particular region to obtain your current account limits on provisioned capacity there.

  2. 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.

  3. Call ListTables to obtain a list of all your DynamoDB tables.

  4. 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.

  5. 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.

Examples:

Example: To determine capacity limits per table and account, in the current AWS region


# The following example returns the maximum read and write capacity units per table, and for the AWS account, in the current AWS region.

resp = client.describe_limits({
})

resp.to_h outputs the following:
{
  account_max_read_capacity_units: 20000, 
  account_max_write_capacity_units: 20000, 
  table_max_read_capacity_units: 10000, 
  table_max_write_capacity_units: 10000, 
}

Response structure


resp. #=> Integer
resp. #=> Integer
resp.table_max_read_capacity_units #=> Integer
resp.table_max_write_capacity_units #=> Integer

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 1609

def describe_limits(params = {}, options = {})
  req = build_request(:describe_limits, params)
  req.send_request(options)
end

#describe_table(params = {}) ⇒ Types::DescribeTableOutput

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.

Examples:

Example: To describe a table


# This example describes the Music table.

resp = client.describe_table({
  table_name: "Music", 
})

resp.to_h outputs the following:
{
  table: {
    attribute_definitions: [
      {
        attribute_name: "Artist", 
        attribute_type: "S", 
      }, 
      {
        attribute_name: "SongTitle", 
        attribute_type: "S", 
      }, 
    ], 
    creation_date_time: Time.parse("1421866952.062"), 
    item_count: 0, 
    key_schema: [
      {
        attribute_name: "Artist", 
        key_type: "HASH", 
      }, 
      {
        attribute_name: "SongTitle", 
        key_type: "RANGE", 
      }, 
    ], 
    provisioned_throughput: {
      number_of_decreases_today: 1, 
      read_capacity_units: 5, 
      write_capacity_units: 5, 
    }, 
    table_name: "Music", 
    table_size_bytes: 0, 
    table_status: "ACTIVE", 
  }, 
}

Request syntax with placeholder values


resp = client.describe_table({
  table_name: "TableName", # required
})

Response structure


resp.table.attribute_definitions #=> Array
resp.table.attribute_definitions[0].attribute_name #=> String
resp.table.attribute_definitions[0].attribute_type #=> String, one of "S", "N", "B"
resp.table.table_name #=> String
resp.table.key_schema #=> Array
resp.table.key_schema[0].attribute_name #=> String
resp.table.key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table.table_status #=> String, one of "CREATING", "UPDATING", "DELETING", "ACTIVE"
resp.table.creation_date_time #=> Time
resp.table.provisioned_throughput.last_increase_date_time #=> Time
resp.table.provisioned_throughput.last_decrease_date_time #=> Time
resp.table.provisioned_throughput.number_of_decreases_today #=> Integer
resp.table.provisioned_throughput.read_capacity_units #=> Integer
resp.table.provisioned_throughput.write_capacity_units #=> Integer
resp.table.table_size_bytes #=> Integer
resp.table.item_count #=> Integer
resp.table.table_arn #=> String
resp.table.local_secondary_indexes #=> Array
resp.table.local_secondary_indexes[0].index_name #=> String
resp.table.local_secondary_indexes[0].key_schema #=> Array
resp.table.local_secondary_indexes[0].key_schema[0].attribute_name #=> String
resp.table.local_secondary_indexes[0].key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table.local_secondary_indexes[0].projection.projection_type #=> String, one of "ALL", "KEYS_ONLY", "INCLUDE"
resp.table.local_secondary_indexes[0].projection.non_key_attributes #=> Array
resp.table.local_secondary_indexes[0].projection.non_key_attributes[0] #=> String
resp.table.local_secondary_indexes[0].index_size_bytes #=> Integer
resp.table.local_secondary_indexes[0].item_count #=> Integer
resp.table.local_secondary_indexes[0].index_arn #=> String
resp.table.global_secondary_indexes #=> Array
resp.table.global_secondary_indexes[0].index_name #=> String
resp.table.global_secondary_indexes[0].key_schema #=> Array
resp.table.global_secondary_indexes[0].key_schema[0].attribute_name #=> String
resp.table.global_secondary_indexes[0].key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table.global_secondary_indexes[0].projection.projection_type #=> String, one of "ALL", "KEYS_ONLY", "INCLUDE"
resp.table.global_secondary_indexes[0].projection.non_key_attributes #=> Array
resp.table.global_secondary_indexes[0].projection.non_key_attributes[0] #=> String
resp.table.global_secondary_indexes[0].index_status #=> String, one of "CREATING", "UPDATING", "DELETING", "ACTIVE"
resp.table.global_secondary_indexes[0].backfilling #=> Boolean
resp.table.global_secondary_indexes[0].provisioned_throughput.last_increase_date_time #=> Time
resp.table.global_secondary_indexes[0].provisioned_throughput.last_decrease_date_time #=> Time
resp.table.global_secondary_indexes[0].provisioned_throughput.number_of_decreases_today #=> Integer
resp.table.global_secondary_indexes[0].provisioned_throughput.read_capacity_units #=> Integer
resp.table.global_secondary_indexes[0].provisioned_throughput.write_capacity_units #=> Integer
resp.table.global_secondary_indexes[0].index_size_bytes #=> Integer
resp.table.global_secondary_indexes[0].item_count #=> Integer
resp.table.global_secondary_indexes[0].index_arn #=> String
resp.table.stream_specification.stream_enabled #=> Boolean
resp.table.stream_specification.stream_view_type #=> String, one of "NEW_IMAGE", "OLD_IMAGE", "NEW_AND_OLD_IMAGES", "KEYS_ONLY"
resp.table.latest_stream_label #=> String
resp.table.latest_stream_arn #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :table_name (required, String)

    The name of the table to describe.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 1742

def describe_table(params = {}, options = {})
  req = build_request(:describe_table, params)
  req.send_request(options)
end

#describe_time_to_live(params = {}) ⇒ Types::DescribeTimeToLiveOutput

Gives a description of the Time to Live (TTL) status on the specified table.

Examples:

Request syntax with placeholder values


resp = client.describe_time_to_live({
  table_name: "TableName", # required
})

Response structure


resp.time_to_live_description.time_to_live_status #=> String, one of "ENABLING", "DISABLING", "ENABLED", "DISABLED"
resp.time_to_live_description.attribute_name #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :table_name (required, String)

    The name of the table to be described.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 1772

def describe_time_to_live(params = {}, options = {})
  req = build_request(:describe_time_to_live, params)
  req.send_request(options)
end

#get_item(params = {}) ⇒ Types::GetItemOutput

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 and there will be no Item element in the response.

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.

Examples:

Example: To read an item from a table


# This example retrieves an item from the Music table. The table has a partition key and a sort key (Artist and SongTitle), so you must specify both of these attributes.

resp = client.get_item({
  key: {
    "Artist" => {
      s: "Acme Band", 
    }, 
    "SongTitle" => {
      s: "Happy Day", 
    }, 
  }, 
  table_name: "Music", 
})

resp.to_h outputs the following:
{
  item: {
    "AlbumTitle" => {
      s: "Songs About Life", 
    }, 
    "Artist" => {
      s: "Acme Band", 
    }, 
    "SongTitle" => {
      s: "Happy Day", 
    }, 
  }, 
}

Request syntax with placeholder values


resp = client.get_item({
  table_name: "TableName", # required
  key: { # required
    "AttributeName" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
  },
  attributes_to_get: ["AttributeName"],
  consistent_read: false,
  return_consumed_capacity: "INDEXES", # accepts INDEXES, TOTAL, NONE
  projection_expression: "ProjectionExpression",
  expression_attribute_names: {
    "ExpressionAttributeNameVariable" => "AttributeName",
  },
})

Response structure


resp.item #=> Hash
resp.item["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.consumed_capacity.table_name #=> String
resp.consumed_capacity.capacity_units #=> Float
resp.consumed_capacity.table.capacity_units #=> Float
resp.consumed_capacity.local_secondary_indexes #=> Hash
resp.consumed_capacity.local_secondary_indexes["IndexName"].capacity_units #=> Float
resp.consumed_capacity.global_secondary_indexes #=> Hash
resp.consumed_capacity.global_secondary_indexes["IndexName"].capacity_units #=> Float

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :table_name (required, String)

    The name of the table containing the requested item.

  • :key (required, Hash<String,Types::AttributeValue>)

    A map of attribute names to AttributeValue objects, representing the primary key of the item to retrieve.

    For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.

  • :attributes_to_get (Array<String>)

    This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide.

  • :consistent_read (Boolean)

    Determines the read consistency model: If set to true, then the operation uses strongly consistent reads; otherwise, the operation uses eventually consistent reads.

  • :return_consumed_capacity (String)

    Determines the level of detail about provisioned throughput consumption that is returned in the response:

    • INDEXES - The response includes the aggregate ConsumedCapacity for the operation, together with ConsumedCapacity for each table and secondary index that was accessed.

      Note that some operations, such as GetItem and BatchGetItem, do not access any indexes at all. In these cases, specifying INDEXES will only return ConsumedCapacity information for table(s).

    • TOTAL - The response includes only the aggregate ConsumedCapacity for the operation.

    • NONE - No ConsumedCapacity details are included in the response.

  • :projection_expression (String)

    A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.

    If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.

    For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.

  • :expression_attribute_names (Hash<String,String>)

    One or more substitution tokens for attribute names in an expression. 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

    ^

    The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames:

    • \{"#P":"Percentile"\}

    ^

    You could then use this substitution in an expression, as in this example:

    • #P = :val

    ^

    Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.

    For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 1968

def get_item(params = {}, options = {})
  req = build_request(:get_item, params)
  req.send_request(options)
end

#list_tables(params = {}) ⇒ Types::ListTablesOutput

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.

Examples:

Example: To list tables


# This example lists all of the tables associated with the current AWS account and endpoint.

resp = client.list_tables({
})

resp.to_h outputs the following:
{
  table_names: [
    "Forum", 
    "ProductCatalog", 
    "Reply", 
    "Thread", 
  ], 
}

Request syntax with placeholder values


resp = client.list_tables({
  exclusive_start_table_name: "TableName",
  limit: 1,
})

Response structure


resp.table_names #=> Array
resp.table_names[0] #=> String
resp.last_evaluated_table_name #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :exclusive_start_table_name (String)

    The first table name that this operation will evaluate. Use the value that was returned for LastEvaluatedTableName in a previous operation, so that you can obtain the next page of results.

  • :limit (Integer)

    A maximum number of table names to return. If this parameter is not specified, the limit is 100.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 2026

def list_tables(params = {}, options = {})
  req = build_request(:list_tables, params)
  req.send_request(options)
end

#list_tags_of_resource(params = {}) ⇒ Types::ListTagsOfResourceOutput

List all tags on an Amazon DynamoDB resource. You can call ListTagsOfResource up to 10 times per second, per account.

For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.

Examples:

Request syntax with placeholder values


resp = client.list_tags_of_resource({
  resource_arn: "ResourceArnString", # required
  next_token: "NextTokenString",
})

Response structure


resp.tags #=> Array
resp.tags[0].key #=> String
resp.tags[0].value #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :resource_arn (required, String)

    The Amazon DynamoDB resource with tags to be listed. This value is an Amazon Resource Name (ARN).

  • :next_token (String)

    An optional string that, if supplied, must be copied from the output of a previous call to ListTagOfResource. When provided in this manner, this API fetches the next page of results.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 2073

def list_tags_of_resource(params = {}, options = {})
  req = build_request(:list_tags_of_resource, params)
  req.send_request(options)
end

#put_item(params = {}) ⇒ Types::PutItemOutput

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. You can return the item's attribute values in the same operation, using the ReturnValues parameter.

This topic provides general information about the PutItem API.

For information on how to call the PutItem API using the AWS SDK in specific languages, see the following:

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.

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 PutItem, see Working with Items in the Amazon DynamoDB Developer Guide.

Examples:

Example: To add an item to a table


# This example adds a new item to the Music table.

resp = client.put_item({
  item: {
    "AlbumTitle" => {
      s: "Somewhat Famous", 
    }, 
    "Artist" => {
      s: "No One You Know", 
    }, 
    "SongTitle" => {
      s: "Call Me Today", 
    }, 
  }, 
  return_consumed_capacity: "TOTAL", 
  table_name: "Music", 
})

resp.to_h outputs the following:
{
  consumed_capacity: {
    capacity_units: 1, 
    table_name: "Music", 
  }, 
}

Request syntax with placeholder values


resp = client.put_item({
  table_name: "TableName", # required
  item: { # required
    "AttributeName" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
  },
  expected: {
    "AttributeName" => {
      value: "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
      exists: false,
      comparison_operator: "EQ", # accepts EQ, NE, IN, LE, LT, GE, GT, BETWEEN, NOT_NULL, NULL, CONTAINS, NOT_CONTAINS, BEGINS_WITH
      attribute_value_list: ["value"], # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
    },
  },
  return_values: "NONE", # accepts NONE, ALL_OLD, UPDATED_OLD, ALL_NEW, UPDATED_NEW
  return_consumed_capacity: "INDEXES", # accepts INDEXES, TOTAL, NONE
  return_item_collection_metrics: "SIZE", # accepts SIZE, NONE
  conditional_operator: "AND", # accepts AND, OR
  condition_expression: "ConditionExpression",
  expression_attribute_names: {
    "ExpressionAttributeNameVariable" => "AttributeName",
  },
  expression_attribute_values: {
    "ExpressionAttributeValueVariable" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
  },
})

Response structure


resp.attributes #=> Hash
resp.attributes["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.consumed_capacity.table_name #=> String
resp.consumed_capacity.capacity_units #=> Float
resp.consumed_capacity.table.capacity_units #=> Float
resp.consumed_capacity.local_secondary_indexes #=> Hash
resp.consumed_capacity.local_secondary_indexes["IndexName"].capacity_units #=> Float
resp.consumed_capacity.global_secondary_indexes #=> Hash
resp.consumed_capacity.global_secondary_indexes["IndexName"].capacity_units #=> Float
resp.item_collection_metrics.item_collection_key #=> Hash
resp.item_collection_metrics.item_collection_key["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.item_collection_metrics.size_estimate_range_gb #=> Array
resp.item_collection_metrics.size_estimate_range_gb[0] #=> Float

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :table_name (required, String)

    The name of the table to contain the item.

  • :item (required, Hash<String,Types::AttributeValue>)

    A map of attribute name/value pairs, one for each attribute. Only the primary key attributes are required; you can optionally provide other attribute name-value pairs for the item.

    You must provide all of the attributes for the primary key. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide both values for both the partition key and the sort key.

    If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.

    For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide.

    Each element in the Item map is an AttributeValue object.

  • :expected (Hash<String,Types::ExpectedAttributeValue>)

    This is a legacy parameter. Use ConditionExpression instead. For more information, see Expected in the Amazon DynamoDB Developer Guide.

  • :return_values (String)

    Use ReturnValues if you want to get the item attributes as they appeared before they were updated with the PutItem request. For PutItem, the valid values are:

    • NONE - If ReturnValues is not specified, or if its value is NONE, then nothing is returned. (This setting is the default for ReturnValues.)

    • ALL_OLD - If PutItem overwrote an attribute name-value pair, then the content of the old item is returned.

    The ReturnValues parameter is used by several DynamoDB operations; however, PutItem does not recognize any values other than NONE or ALL_OLD.

  • :return_consumed_capacity (String)

    Determines the level of detail about provisioned throughput consumption that is returned in the response:

    • INDEXES - The response includes the aggregate ConsumedCapacity for the operation, together with ConsumedCapacity for each table and secondary index that was accessed.

      Note that some operations, such as GetItem and BatchGetItem, do not access any indexes at all. In these cases, specifying INDEXES will only return ConsumedCapacity information for table(s).

    • TOTAL - The response includes only the aggregate ConsumedCapacity for the operation.

    • NONE - No ConsumedCapacity details are included in the response.

  • :return_item_collection_metrics (String)

    Determines whether item collection metrics are returned. If set to SIZE, the response includes statistics about item collections, if any, that were modified during the operation are returned in the response. If set to NONE (the default), no statistics are returned.

  • :conditional_operator (String)

    This is a legacy parameter. Use ConditionExpression instead. For more information, see ConditionalOperator in the Amazon DynamoDB Developer Guide.

  • :condition_expression (String)

    A condition that must be satisfied in order for a conditional PutItem operation to succeed.

    An expression can contain any of the following:

    • Functions: attribute_exists | attribute_not_exists | attribute_type | contains | begins_with | size

      These function names are case-sensitive.

    • Comparison operators: = | <> | < | > | <= | >= | BETWEEN | IN

    • Logical operators: AND | OR | NOT

    For more information on condition expressions, see Specifying Conditions in the Amazon DynamoDB Developer Guide.

  • :expression_attribute_names (Hash<String,String>)

    One or more substitution tokens for attribute names in an expression. 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

    ^

    The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames:

    • \{"#P":"Percentile"\}

    ^

    You could then use this substitution in an expression, as in this example:

    • #P = :val

    ^

    Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.

    For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.

  • :expression_attribute_values (Hash<String,Types::AttributeValue>)

    One or more values that can be substituted in an expression.

    Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:

    Available | Backordered | Discontinued

    You would first need to specify ExpressionAttributeValues as follows:

    \{ ":avail":\{"S":"Available"\}, ":back":\{"S":"Backordered"\}, ":disc":\{"S":"Discontinued"\} \}

    You could then use these values in an expression, such as this:

    ProductStatus IN (:avail, :back, :disc)

    For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 2408

def put_item(params = {}, options = {})
  req = build_request(:put_item, params)
  req.send_request(options)
end

#query(params = {}) ⇒ Types::QueryOutput

The Query operation finds items based on primary key values. You can query any table or secondary index that has a composite primary key (a partition key and a sort key).

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. To further refine the Query results, you can optionally provide a FilterExpression. A FilterExpression determines which items within the results should be returned to you. All of the other results are discarded.

A Query operation always returns a result set. If no matching items are found, the result set will be empty. Queries that do not return results consume the minimum number of read capacity units for that type of read operation.

DynamoDB calculates the number of read capacity units consumed based on item size, not on the amount of data that is returned to an application. The number of capacity units consumed will be the same whether you request all of the attributes (the default behavior) or just some of them (using a projection expression). The number will also be the same whether or not you use a FilterExpression.

Query results are always sorted by the sort key value. If the data type of the sort key is Number, the results are returned in numeric order; otherwise, the results are returned in order of UTF-8 bytes. By default, the sort order is ascending. To reverse the order, set the ScanIndexForward parameter to false.

A single Query operation will read up to the maximum number of items set (if using the Limit parameter) or a maximum of 1 MB of data and then apply any filtering to the results using FilterExpression. If LastEvaluatedKey is present in the response, you will need to paginate the result set. For more information, see Paginating the Results in the Amazon DynamoDB Developer Guide.

FilterExpression is applied after a Query finishes, but before the results are returned. A FilterExpression cannot contain partition key or sort key attributes. You need to specify those attributes in the KeyConditionExpression.

A Query operation can return an empty result set and a LastEvaluatedKey if all the items read for the page of results are filtered out.

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.

Examples:

Example: To query an item


# This example queries items in the Music table. The table has a partition key and sort key (Artist and SongTitle), but this query only specifies the partition key value. It returns song titles by the artist named "No One You Know".

resp = client.query({
  expression_attribute_values: {
    ":v1" => {
      s: "No One You Know", 
    }, 
  }, 
  key_condition_expression: "Artist = :v1", 
  projection_expression: "SongTitle", 
  table_name: "Music", 
})

resp.to_h outputs the following:
{
  consumed_capacity: {
  }, 
  count: 2, 
  items: [
    {
      "SongTitle" => {
        s: "Call Me Today", 
      }, 
    }, 
  ], 
  scanned_count: 2, 
}

Request syntax with placeholder values


resp = client.query({
  table_name: "TableName", # required
  index_name: "IndexName",
  select: "ALL_ATTRIBUTES", # accepts ALL_ATTRIBUTES, ALL_PROJECTED_ATTRIBUTES, SPECIFIC_ATTRIBUTES, COUNT
  attributes_to_get: ["AttributeName"],
  limit: 1,
  consistent_read: false,
  key_conditions: {
    "AttributeName" => {
      attribute_value_list: ["value"], # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
      comparison_operator: "EQ", # required, accepts EQ, NE, IN, LE, LT, GE, GT, BETWEEN, NOT_NULL, NULL, CONTAINS, NOT_CONTAINS, BEGINS_WITH
    },
  },
  query_filter: {
    "AttributeName" => {
      attribute_value_list: ["value"], # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
      comparison_operator: "EQ", # required, accepts EQ, NE, IN, LE, LT, GE, GT, BETWEEN, NOT_NULL, NULL, CONTAINS, NOT_CONTAINS, BEGINS_WITH
    },
  },
  conditional_operator: "AND", # accepts AND, OR
  scan_index_forward: false,
  exclusive_start_key: {
    "AttributeName" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
  },
  return_consumed_capacity: "INDEXES", # accepts INDEXES, TOTAL, NONE
  projection_expression: "ProjectionExpression",
  filter_expression: "ConditionExpression",
  key_condition_expression: "KeyExpression",
  expression_attribute_names: {
    "ExpressionAttributeNameVariable" => "AttributeName",
  },
  expression_attribute_values: {
    "ExpressionAttributeValueVariable" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
  },
})

Response structure


resp.items #=> Array
resp.items[0] #=> Hash
resp.items[0]["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.count #=> Integer
resp.scanned_count #=> Integer
resp.last_evaluated_key #=> Hash
resp.last_evaluated_key["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.consumed_capacity.table_name #=> String
resp.consumed_capacity.capacity_units #=> Float
resp.consumed_capacity.table.capacity_units #=> Float
resp.consumed_capacity.local_secondary_indexes #=> Hash
resp.consumed_capacity.local_secondary_indexes["IndexName"].capacity_units #=> Float
resp.consumed_capacity.global_secondary_indexes #=> Hash
resp.consumed_capacity.global_secondary_indexes["IndexName"].capacity_units #=> Float

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :table_name (required, String)

    The name of the table containing the requested items.

  • :index_name (String)

    The name of an index to query. This index can be any local secondary index or global secondary index on the table. Note that if you use the IndexName parameter, you must also provide TableName.

  • :select (String)

    The attributes to be returned in the result. You can retrieve all item attributes, specific item attributes, the count of matching items, or in the case of an index, some or all of the attributes projected into the index.

    • ALL_ATTRIBUTES - Returns all of the item attributes from the specified table or index. If you query a local secondary index, then for each matching item in the index DynamoDB will fetch the entire item from the parent table. If the index is configured to project all item attributes, then all of the data can be obtained from the local secondary index, and no fetching is required.

    • ALL_PROJECTED_ATTRIBUTES - Allowed only when querying an index. Retrieves all attributes that have been projected into the index. If the index is configured to project all attributes, this return value is equivalent to specifying ALL_ATTRIBUTES.

    • COUNT - Returns the number of matching items, rather than the matching items themselves.

    • SPECIFIC_ATTRIBUTES - Returns only the attributes listed in AttributesToGet. This return value is equivalent to specifying AttributesToGet without specifying any value for Select.

      If you query or scan a local secondary index and request only attributes that are projected into that index, the operation will read only the index and not the table. If any of the requested attributes are not projected into the local secondary index, DynamoDB will fetch each of these attributes from the parent table. This extra fetching incurs additional throughput cost and latency.

      If you query or scan a global secondary index, you can only request attributes that are projected into the index. Global secondary index queries cannot fetch attributes from the parent table.

    If neither Select nor AttributesToGet are specified, DynamoDB defaults to ALL_ATTRIBUTES when accessing a table, and ALL_PROJECTED_ATTRIBUTES when accessing an index. You cannot use both Select and AttributesToGet together in a single request, unless the value for Select is SPECIFIC_ATTRIBUTES. (This usage is equivalent to specifying AttributesToGet without any value for Select.)

    If you use the ProjectionExpression parameter, then the value for Select can only be SPECIFIC_ATTRIBUTES. Any other value for Select will return an error.

  • :attributes_to_get (Array<String>)

    This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide.

  • :limit (Integer)

    The maximum number of items to evaluate (not necessarily the number of matching items). If DynamoDB processes the number of items up to the limit while processing the results, it stops the operation and returns the matching values up to that point, and a key in LastEvaluatedKey to apply in a subsequent operation, so that you can pick up where you left off. Also, if the processed data set size exceeds 1 MB before DynamoDB reaches this limit, it stops the operation and returns the matching values up to the limit, and a key in LastEvaluatedKey to apply in a subsequent operation to continue the operation. For more information, see Query and Scan in the Amazon DynamoDB Developer Guide.

  • :consistent_read (Boolean)

    Determines the read consistency model: If set to true, then the operation uses strongly consistent reads; otherwise, the operation uses eventually consistent reads.

    Strongly consistent reads are not supported on global secondary indexes. If you query a global secondary index with ConsistentRead set to true, you will receive a ValidationException.

  • :key_conditions (Hash<String,Types::Condition>)

    This is a legacy parameter. Use KeyConditionExpression instead. For more information, see KeyConditions in the Amazon DynamoDB Developer Guide.

  • :query_filter (Hash<String,Types::Condition>)

    This is a legacy parameter. Use FilterExpression instead. For more information, see QueryFilter in the Amazon DynamoDB Developer Guide.

  • :conditional_operator (String)

    This is a legacy parameter. Use FilterExpression instead. For more information, see ConditionalOperator in the Amazon DynamoDB Developer Guide.

  • :scan_index_forward (Boolean)

    Specifies the order for index traversal: If true (default), the traversal is performed in ascending order; if false, the traversal is performed in descending order.

    Items with the same partition key value are stored in sorted order by sort key. If the sort key data type is Number, the results are stored in numeric order. For type String, the results are stored in order of ASCII character code values. For type Binary, DynamoDB treats each byte of the binary data as unsigned.

    If ScanIndexForward is true, DynamoDB returns the results in the order in which they are stored (by sort key value). This is the default behavior. If ScanIndexForward is false, DynamoDB reads the results in reverse order by sort key value, and then returns the results to the client.

  • :exclusive_start_key (Hash<String,Types::AttributeValue>)

    The primary key of the first item that this operation will evaluate. Use the value that was returned for LastEvaluatedKey in the previous operation.

    The data type for ExclusiveStartKey must be String, Number or Binary. No set data types are allowed.

  • :return_consumed_capacity (String)

    Determines the level of detail about provisioned throughput consumption that is returned in the response:

    • INDEXES - The response includes the aggregate ConsumedCapacity for the operation, together with ConsumedCapacity for each table and secondary index that was accessed.

      Note that some operations, such as GetItem and BatchGetItem, do not access any indexes at all. In these cases, specifying INDEXES will only return ConsumedCapacity information for table(s).

    • TOTAL - The response includes only the aggregate ConsumedCapacity for the operation.

    • NONE - No ConsumedCapacity details are included in the response.

  • :projection_expression (String)

    A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.

    If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.

    For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.

  • :filter_expression (String)

    A string that contains conditions that DynamoDB applies after the Query operation, but before the data is returned to you. Items that do not satisfy the FilterExpression criteria are not returned.

    A FilterExpression does not allow key attributes. You cannot define a filter expression based on a partition key or a sort key.

    A FilterExpression is applied after the items have already been read; the process of filtering does not consume any additional read capacity units.

    For more information, see Filter Expressions in the Amazon DynamoDB Developer Guide.

  • :key_condition_expression (String)

    The condition that specifies the key value(s) for items to be retrieved by the Query action.

    The condition must perform an equality test on a single partition key value. The condition can also perform one of several comparison tests on a single sort key value. Query can use KeyConditionExpression to retrieve one item with a given partition key value and sort key value, or several items that have the same partition key value but different sort key values.

    The partition key equality test is required, and must be specified in the following format:

    partitionKeyName = :partitionkeyval

    If you also want to provide a condition for the sort key, it must be combined using AND with the condition for the sort key. Following is an example, using the = comparison operator for the sort key:

    partitionKeyName = :partitionkeyval AND sortKeyName = :sortkeyval

    Valid comparisons for the sort key condition are as follows:

    • sortKeyName = :sortkeyval - true if the sort key value is equal to :sortkeyval.

    • sortKeyName < :sortkeyval - true if the sort key value is less than :sortkeyval.

    • sortKeyName <= :sortkeyval - true if the sort key value is less than or equal to :sortkeyval.

    • sortKeyName > :sortkeyval - true if the sort key value is greater than :sortkeyval.

    • sortKeyName >= :sortkeyval - true if the sort key value is greater than or equal to :sortkeyval.

    • sortKeyName BETWEEN :sortkeyval1 AND :sortkeyval2 - true if the sort key value is greater than or equal to :sortkeyval1, and less than or equal to :sortkeyval2.

    • begins_with ( sortKeyName, :sortkeyval ) - true if the sort key value begins with a particular operand. (You cannot use this function with a sort key that is of type Number.) Note that the function name begins_with is case-sensitive.

    Use the ExpressionAttributeValues parameter to replace tokens such as :partitionval and :sortval with actual values at runtime.

    You can optionally use the ExpressionAttributeNames parameter to replace the names of the partition key and sort key with placeholder tokens. This option might be necessary if an attribute name conflicts with a DynamoDB reserved word. For example, the following KeyConditionExpression parameter causes an error because Size is a reserved word:

    • Size = :myval

    ^

    To work around this, define a placeholder (such a #S) to represent the attribute name Size. KeyConditionExpression then is as follows:

    • #S = :myval

    ^

    For a list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide.

    For more information on ExpressionAttributeNames and ExpressionAttributeValues, see Using Placeholders for Attribute Names and Values in the Amazon DynamoDB Developer Guide.

  • :expression_attribute_names (Hash<String,String>)

    One or more substitution tokens for attribute names in an expression. 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

    ^

    The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames:

    • \{"#P":"Percentile"\}

    ^

    You could then use this substitution in an expression, as in this example:

    • #P = :val

    ^

    Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.

    For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.

  • :expression_attribute_values (Hash<String,Types::AttributeValue>)

    One or more values that can be substituted in an expression.

    Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:

    Available | Backordered | Discontinued

    You would first need to specify ExpressionAttributeValues as follows:

    \{ ":avail":\{"S":"Available"\}, ":back":\{"S":"Backordered"\}, ":disc":\{"S":"Discontinued"\} \}

    You could then use these values in an expression, such as this:

    ProductStatus IN (:avail, :back, :disc)

    For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 2934

def query(params = {}, options = {})
  req = build_request(:query, params)
  req.send_request(options)
end

#scan(params = {}) ⇒ Types::ScanOutput

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 FilterExpression 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.

A single Scan operation will read up to the maximum number of items set (if using the Limit parameter) or a maximum of 1 MB of data and then apply any filtering to the results using FilterExpression. If LastEvaluatedKey is present in the response, you will need to paginate the result set. For more information, see Paginating the Results in the Amazon DynamoDB Developer Guide.

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 in the Amazon DynamoDB Developer Guide.

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.

Examples:

Example: To scan a table


# This example scans the entire Music table, and then narrows the results to songs by the artist "No One You Know". For each item, only the album title and song title are returned.

resp = client.scan({
  expression_attribute_names: {
    "AT" => "AlbumTitle", 
    "ST" => "SongTitle", 
  }, 
  expression_attribute_values: {
    ":a" => {
      s: "No One You Know", 
    }, 
  }, 
  filter_expression: "Artist = :a", 
  projection_expression: "#ST, #AT", 
  table_name: "Music", 
})

resp.to_h outputs the following:
{
  consumed_capacity: {
  }, 
  count: 2, 
  items: [
    {
      "AlbumTitle" => {
        s: "Somewhat Famous", 
      }, 
      "SongTitle" => {
        s: "Call Me Today", 
      }, 
    }, 
    {
      "AlbumTitle" => {
        s: "Blue Sky Blues", 
      }, 
      "SongTitle" => {
        s: "Scared of My Shadow", 
      }, 
    }, 
  ], 
  scanned_count: 3, 
}

Request syntax with placeholder values


resp = client.scan({
  table_name: "TableName", # required
  index_name: "IndexName",
  attributes_to_get: ["AttributeName"],
  limit: 1,
  select: "ALL_ATTRIBUTES", # accepts ALL_ATTRIBUTES, ALL_PROJECTED_ATTRIBUTES, SPECIFIC_ATTRIBUTES, COUNT
  scan_filter: {
    "AttributeName" => {
      attribute_value_list: ["value"], # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
      comparison_operator: "EQ", # required, accepts EQ, NE, IN, LE, LT, GE, GT, BETWEEN, NOT_NULL, NULL, CONTAINS, NOT_CONTAINS, BEGINS_WITH
    },
  },
  conditional_operator: "AND", # accepts AND, OR
  exclusive_start_key: {
    "AttributeName" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
  },
  return_consumed_capacity: "INDEXES", # accepts INDEXES, TOTAL, NONE
  total_segments: 1,
  segment: 1,
  projection_expression: "ProjectionExpression",
  filter_expression: "ConditionExpression",
  expression_attribute_names: {
    "ExpressionAttributeNameVariable" => "AttributeName",
  },
  expression_attribute_values: {
    "ExpressionAttributeValueVariable" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
  },
  consistent_read: false,
})

Response structure


resp.items #=> Array
resp.items[0] #=> Hash
resp.items[0]["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.count #=> Integer
resp.scanned_count #=> Integer
resp.last_evaluated_key #=> Hash
resp.last_evaluated_key["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.consumed_capacity.table_name #=> String
resp.consumed_capacity.capacity_units #=> Float
resp.consumed_capacity.table.capacity_units #=> Float
resp.consumed_capacity.local_secondary_indexes #=> Hash
resp.consumed_capacity.local_secondary_indexes["IndexName"].capacity_units #=> Float
resp.consumed_capacity.global_secondary_indexes #=> Hash
resp.consumed_capacity.global_secondary_indexes["IndexName"].capacity_units #=> Float

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :table_name (required, String)

    The name of the table containing the requested items; or, if you provide IndexName, the name of the table to which that index belongs.

  • :index_name (String)

    The name of a secondary index to scan. This index can be any local secondary index or global secondary index. Note that if you use the IndexName parameter, you must also provide TableName.

  • :attributes_to_get (Array<String>)

    This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide.

  • :limit (Integer)

    The maximum number of items to evaluate (not necessarily the number of matching items). If DynamoDB processes the number of items up to the limit while processing the results, it stops the operation and returns the matching values up to that point, and a key in LastEvaluatedKey to apply in a subsequent operation, so that you can pick up where you left off. Also, if the processed data set size exceeds 1 MB before DynamoDB reaches this limit, it stops the operation and returns the matching values up to the limit, and a key in LastEvaluatedKey to apply in a subsequent operation to continue the operation. For more information, see Query and Scan in the Amazon DynamoDB Developer Guide.

  • :select (String)

    The attributes to be returned in the result. You can retrieve all item attributes, specific item attributes, the count of matching items, or in the case of an index, some or all of the attributes projected into the index.

    • ALL_ATTRIBUTES - Returns all of the item attributes from the specified table or index. If you query a local secondary index, then for each matching item in the index DynamoDB will fetch the entire item from the parent table. If the index is configured to project all item attributes, then all of the data can be obtained from the local secondary index, and no fetching is required.

    • ALL_PROJECTED_ATTRIBUTES - Allowed only when querying an index. Retrieves all attributes that have been projected into the index. If the index is configured to project all attributes, this return value is equivalent to specifying ALL_ATTRIBUTES.

    • COUNT - Returns the number of matching items, rather than the matching items themselves.

    • SPECIFIC_ATTRIBUTES - Returns only the attributes listed in AttributesToGet. This return value is equivalent to specifying AttributesToGet without specifying any value for Select.

      If you query or scan a local secondary index and request only attributes that are projected into that index, the operation will read only the index and not the table. If any of the requested attributes are not projected into the local secondary index, DynamoDB will fetch each of these attributes from the parent table. This extra fetching incurs additional throughput cost and latency.

      If you query or scan a global secondary index, you can only request attributes that are projected into the index. Global secondary index queries cannot fetch attributes from the parent table.

    If neither Select nor AttributesToGet are specified, DynamoDB defaults to ALL_ATTRIBUTES when accessing a table, and ALL_PROJECTED_ATTRIBUTES when accessing an index. You cannot use both Select and AttributesToGet together in a single request, unless the value for Select is SPECIFIC_ATTRIBUTES. (This usage is equivalent to specifying AttributesToGet without any value for Select.)

    If you use the ProjectionExpression parameter, then the value for Select can only be SPECIFIC_ATTRIBUTES. Any other value for Select will return an error.

  • :scan_filter (Hash<String,Types::Condition>)

    This is a legacy parameter. Use FilterExpression instead. For more information, see ScanFilter in the Amazon DynamoDB Developer Guide.

  • :conditional_operator (String)

    This is a legacy parameter. Use FilterExpression instead. For more information, see ConditionalOperator in the Amazon DynamoDB Developer Guide.

  • :exclusive_start_key (Hash<String,Types::AttributeValue>)

    The primary key of the first item that this operation will evaluate. Use the value that was returned for LastEvaluatedKey in the previous operation.

    The data type for ExclusiveStartKey must be String, Number or Binary. No set data types are allowed.

    In a parallel scan, a Scan request that includes ExclusiveStartKey must specify the same segment whose previous Scan returned the corresponding value of LastEvaluatedKey.

  • :return_consumed_capacity (String)

    Determines the level of detail about provisioned throughput consumption that is returned in the response:

    • INDEXES - The response includes the aggregate ConsumedCapacity for the operation, together with ConsumedCapacity for each table and secondary index that was accessed.

      Note that some operations, such as GetItem and BatchGetItem, do not access any indexes at all. In these cases, specifying INDEXES will only return ConsumedCapacity information for table(s).

    • TOTAL - The response includes only the aggregate ConsumedCapacity for the operation.

    • NONE - No ConsumedCapacity details are included in the response.

  • :total_segments (Integer)

    For a parallel Scan request, TotalSegments represents the total number of segments into which the Scan operation will be divided. The value of TotalSegments corresponds to the number of application workers that will perform the parallel scan. For example, if you want to use four application threads to scan a table or an index, specify a TotalSegments value of 4.

    The value for TotalSegments must be greater than or equal to 1, and less than or equal to 1000000. If you specify a TotalSegments value of 1, the Scan operation will be sequential rather than parallel.

    If you specify TotalSegments, you must also specify Segment.

  • :segment (Integer)

    For a parallel Scan request, Segment identifies an individual segment to be scanned by an application worker.

    Segment IDs are zero-based, so the first segment is always 0. For example, if you want to use four application threads to scan a table or an index, then the first thread specifies a Segment value of 0, the second thread specifies 1, and so on.

    The value of LastEvaluatedKey returned from a parallel Scan request must be used as ExclusiveStartKey with the same segment ID in a subsequent Scan operation.

    The value for Segment must be greater than or equal to 0, and less than the value provided for TotalSegments.

    If you provide Segment, you must also provide TotalSegments.

  • :projection_expression (String)

    A string that identifies one or more attributes to retrieve from the specified table or index. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.

    If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.

    For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.

  • :filter_expression (String)

    A string that contains conditions that DynamoDB applies after the Scan operation, but before the data is returned to you. Items that do not satisfy the FilterExpression criteria are not returned.

    A FilterExpression is applied after the items have already been read; the process of filtering does not consume any additional read capacity units.

    For more information, see Filter Expressions in the Amazon DynamoDB Developer Guide.

  • :expression_attribute_names (Hash<String,String>)

    One or more substitution tokens for attribute names in an expression. 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

    ^

    The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames:

    • \{"#P":"Percentile"\}

    ^

    You could then use this substitution in an expression, as in this example:

    • #P = :val

    ^

    Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.

    For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.

  • :expression_attribute_values (Hash<String,Types::AttributeValue>)

    One or more values that can be substituted in an expression.

    Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:

    Available | Backordered | Discontinued

    You would first need to specify ExpressionAttributeValues as follows:

    \{ ":avail":\{"S":"Available"\}, ":back":\{"S":"Backordered"\}, ":disc":\{"S":"Discontinued"\} \}

    You could then use these values in an expression, such as this:

    ProductStatus IN (:avail, :back, :disc)

    For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide.

  • :consistent_read (Boolean)

    A Boolean value that determines the read consistency model during the scan:

    • If ConsistentRead is false, then the data returned from Scan might not contain the results from other recently completed write operations (PutItem, UpdateItem or DeleteItem).

    • If ConsistentRead is true, then all of the write operations that completed before the Scan began are guaranteed to be contained in the Scan response.

    The default setting for ConsistentRead is false.

    The ConsistentRead parameter is not supported on global secondary indexes. If you scan a global secondary index with ConsistentRead set to true, you will receive a ValidationException.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 3375

def scan(params = {}, options = {})
  req = build_request(:scan, params)
  req.send_request(options)
end

#stub_data(operation_name, data = {}) ⇒ Object



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/customizations/client.rb', line 5

def stub_data(operation_name, data = {})
  if config.simple_attributes
    rules = config.api.operation(operation_name).output
    translator = Plugins::SimpleAttributes::ValueTranslator
    data = translator.apply(rules, :marshal, data)
    data = super(operation_name, data)
    translator.apply(rules, :unmarshal, data)
  else
    super
  end
end

#tag_resource(params = {}) ⇒ Struct

Associate a set of tags with an Amazon DynamoDB resource. You can then activate these user-defined tags so that they appear on the Billing and Cost Management console for cost allocation tracking. You can call TagResource up to 5 times per second, per account.

For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.

Examples:

Request syntax with placeholder values


resp = client.tag_resource({
  resource_arn: "ResourceArnString", # required
  tags: [ # required
    {
      key: "TagKeyString", # required
      value: "TagValueString", # required
    },
  ],
})

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :resource_arn (required, String)

    Identifies the Amazon DynamoDB resource to which tags should be added. This value is an Amazon Resource Name (ARN).

  • :tags (required, Array<Types::Tag>)

    The tags to be assigned to the Amazon DynamoDB resource.

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 3417

def tag_resource(params = {}, options = {})
  req = build_request(:tag_resource, params)
  req.send_request(options)
end

#untag_resource(params = {}) ⇒ Struct

Removes the association of tags from an Amazon DynamoDB resource. You can call UntagResource up to 5 times per second, per account.

For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide.

Examples:

Request syntax with placeholder values


resp = client.untag_resource({
  resource_arn: "ResourceArnString", # required
  tag_keys: ["TagKeyString"], # required
})

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :resource_arn (required, String)

    The Amazon DyanamoDB resource the tags will be removed from. This value is an Amazon Resource Name (ARN).

  • :tag_keys (required, Array<String>)

    A list of tag keys. Existing tags of the resource whose keys are members of this list will be removed from the Amazon DynamoDB resource.

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 3454

def untag_resource(params = {}, options = {})
  req = build_request(:untag_resource, params)
  req.send_request(options)
end

#update_item(params = {}) ⇒ Types::UpdateItemOutput

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.

Examples:

Example: To update an item in a table


# This example updates an item in the Music table. It adds a new attribute (Year) and modifies the AlbumTitle attribute.  All of the attributes in the item, as they appear after the update, are returned in the response.

resp = client.update_item({
  expression_attribute_names: {
    "#AT" => "AlbumTitle", 
    "#Y" => "Year", 
  }, 
  expression_attribute_values: {
    ":t" => {
      s: "Louder Than Ever", 
    }, 
    ":y" => {
      n: "2015", 
    }, 
  }, 
  key: {
    "Artist" => {
      s: "Acme Band", 
    }, 
    "SongTitle" => {
      s: "Happy Day", 
    }, 
  }, 
  return_values: "ALL_NEW", 
  table_name: "Music", 
  update_expression: "SET #Y = :y, #AT = :t", 
})

resp.to_h outputs the following:
{
  attributes: {
    "AlbumTitle" => {
      s: "Louder Than Ever", 
    }, 
    "Artist" => {
      s: "Acme Band", 
    }, 
    "SongTitle" => {
      s: "Happy Day", 
    }, 
    "Year" => {
      n: "2015", 
    }, 
  }, 
}

Request syntax with placeholder values


resp = client.update_item({
  table_name: "TableName", # required
  key: { # required
    "AttributeName" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
  },
  attribute_updates: {
    "AttributeName" => {
      value: "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
      action: "ADD", # accepts ADD, PUT, DELETE
    },
  },
  expected: {
    "AttributeName" => {
      value: "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
      exists: false,
      comparison_operator: "EQ", # accepts EQ, NE, IN, LE, LT, GE, GT, BETWEEN, NOT_NULL, NULL, CONTAINS, NOT_CONTAINS, BEGINS_WITH
      attribute_value_list: ["value"], # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
    },
  },
  conditional_operator: "AND", # accepts AND, OR
  return_values: "NONE", # accepts NONE, ALL_OLD, UPDATED_OLD, ALL_NEW, UPDATED_NEW
  return_consumed_capacity: "INDEXES", # accepts INDEXES, TOTAL, NONE
  return_item_collection_metrics: "SIZE", # accepts SIZE, NONE
  update_expression: "UpdateExpression",
  condition_expression: "ConditionExpression",
  expression_attribute_names: {
    "ExpressionAttributeNameVariable" => "AttributeName",
  },
  expression_attribute_values: {
    "ExpressionAttributeValueVariable" => "value", # value <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
  },
})

Response structure


resp.attributes #=> Hash
resp.attributes["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.consumed_capacity.table_name #=> String
resp.consumed_capacity.capacity_units #=> Float
resp.consumed_capacity.table.capacity_units #=> Float
resp.consumed_capacity.local_secondary_indexes #=> Hash
resp.consumed_capacity.local_secondary_indexes["IndexName"].capacity_units #=> Float
resp.consumed_capacity.global_secondary_indexes #=> Hash
resp.consumed_capacity.global_secondary_indexes["IndexName"].capacity_units #=> Float
resp.item_collection_metrics.item_collection_key #=> Hash
resp.item_collection_metrics.item_collection_key["AttributeName"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.item_collection_metrics.size_estimate_range_gb #=> Array
resp.item_collection_metrics.size_estimate_range_gb[0] #=> Float

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :table_name (required, String)

    The name of the table containing the item to update.

  • :key (required, Hash<String,Types::AttributeValue>)

    The primary key of the item to be updated. Each element consists of an attribute name and a value for that attribute.

    For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.

  • :attribute_updates (Hash<String,Types::AttributeValueUpdate>)

    This is a legacy parameter. Use UpdateExpression instead. For more information, see AttributeUpdates in the Amazon DynamoDB Developer Guide.

  • :expected (Hash<String,Types::ExpectedAttributeValue>)

    This is a legacy parameter. Use ConditionExpression instead. For more information, see Expected in the Amazon DynamoDB Developer Guide.

  • :conditional_operator (String)

    This is a legacy parameter. Use ConditionExpression instead. For more information, see ConditionalOperator in the Amazon DynamoDB Developer Guide.

  • :return_values (String)

    Use ReturnValues if you want to get the item attributes as they appear before or after they are updated. For UpdateItem, the valid values are:

    • NONE - If ReturnValues is not specified, or if its value is NONE, then nothing is returned. (This setting is the default for ReturnValues.)

    • ALL_OLD - Returns all of the attributes of the item, as they appeared before the UpdateItem operation.

    • UPDATED_OLD - Returns only the updated attributes, as they appeared before the UpdateItem operation.

    • ALL_NEW - Returns all of the attributes of the item, as they appear after the UpdateItem operation.

    • UPDATED_NEW - Returns only the updated attributes, as they appear after the UpdateItem operation.

    There is no additional cost associated with requesting a return value aside from the small network and processing overhead of receiving a larger response. No read capacity units are consumed.

    The values returned are strongly consistent.

  • :return_consumed_capacity (String)

    Determines the level of detail about provisioned throughput consumption that is returned in the response:

    • INDEXES - The response includes the aggregate ConsumedCapacity for the operation, together with ConsumedCapacity for each table and secondary index that was accessed.

      Note that some operations, such as GetItem and BatchGetItem, do not access any indexes at all. In these cases, specifying INDEXES will only return ConsumedCapacity information for table(s).

    • TOTAL - The response includes only the aggregate ConsumedCapacity for the operation.

    • NONE - No ConsumedCapacity details are included in the response.

  • :return_item_collection_metrics (String)

    Determines whether item collection metrics are returned. If set to SIZE, the response includes statistics about item collections, if any, that were modified during the operation are returned in the response. If set to NONE (the default), no statistics are returned.

  • :update_expression (String)

    An expression that defines one or more attributes to be updated, the action to be performed on them, and new value(s) for them.

    The following action values are available for UpdateExpression.

    • SET - Adds one or more attributes and values to an item. If any of these attribute already exist, they are replaced by the new values. You can also use SET to add or subtract from an attribute that is of type Number. For example: SET myNum = myNum + :val

      SET supports the following functions:

      • if_not_exists (path, operand) - if the item does not contain an attribute at the specified path, then if_not_exists evaluates to operand; otherwise, it evaluates to path. You can use this function to avoid overwriting an attribute that may already be present in the item.

      • list_append (operand, operand) - evaluates to a list with a new element added to it. You can append the new element to the start or the end of the list by reversing the order of the operands.

      These function names are case-sensitive.

    • REMOVE - Removes one or more attributes from an item.

    • ADD - Adds the specified value to the item, if the attribute does not already exist. 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 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.

        Similarly, if you use ADD for an existing item to increment or decrement an attribute value that doesn't exist before the update, DynamoDB uses 0 as the initial value. For example, suppose that the item you want to update doesn't have an attribute named itemcount, but you decide to ADD the number 3 to this attribute anyway. 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 Value is also a set, then Value is added to the existing set. For example, if the attribute value is the set [1,2], and the ADD action specified [3], then the final attribute value is [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 ADD action only supports Number and set data types. In addition, ADD can only be used on top-level attributes, not nested attributes.

    • DELETE - Deletes an element from a set.

      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 specifies [a,c], then the final attribute value is [b]. Specifying an empty set is an error.

      The DELETE action only supports set data types. In addition, DELETE can only be used on top-level attributes, not nested attributes.

    You can have many actions in a single expression, such as the following: SET a=:value1, b=:value2 DELETE :value3, :value4, :value5

    For more information on update expressions, see Modifying Items and Attributes in the Amazon DynamoDB Developer Guide.

  • :condition_expression (String)

    A condition that must be satisfied in order for a conditional update to succeed.

    An expression can contain any of the following:

    • Functions: attribute_exists | attribute_not_exists | attribute_type | contains | begins_with | size

      These function names are case-sensitive.

    • Comparison operators: = | <> | < | > | <= | >= | BETWEEN | IN

    • Logical operators: AND | OR | NOT

    For more information on condition expressions, see Specifying Conditions in the Amazon DynamoDB Developer Guide.

  • :expression_attribute_names (Hash<String,String>)

    One or more substitution tokens for attribute names in an expression. 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

    ^

    The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide). To work around this, you could specify the following for ExpressionAttributeNames:

    • \{"#P":"Percentile"\}

    ^

    You could then use this substitution in an expression, as in this example:

    • #P = :val

    ^

    Tokens that begin with the : character are expression attribute values, which are placeholders for the actual value at runtime.

    For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide.

  • :expression_attribute_values (Hash<String,Types::AttributeValue>)

    One or more values that can be substituted in an expression.

    Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:

    Available | Backordered | Discontinued

    You would first need to specify ExpressionAttributeValues as follows:

    \{ ":avail":\{"S":"Available"\}, ":back":\{"S":"Backordered"\}, ":disc":\{"S":"Discontinued"\} \}

    You could then use these values in an expression, such as this:

    ProductStatus IN (:avail, :back, :disc)

    For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 3855

def update_item(params = {}, options = {})
  req = build_request(:update_item, params)
  req.send_request(options)
end

#update_table(params = {}) ⇒ Types::UpdateTableOutput

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.

Examples:

Example: To modify a table's provisioned throughput


# This example increases the provisioned read and write capacity on the Music table.

resp = client.update_table({
  provisioned_throughput: {
    read_capacity_units: 10, 
    write_capacity_units: 10, 
  }, 
  table_name: "MusicCollection", 
})

resp.to_h outputs the following:
{
  table_description: {
    attribute_definitions: [
      {
        attribute_name: "Artist", 
        attribute_type: "S", 
      }, 
      {
        attribute_name: "SongTitle", 
        attribute_type: "S", 
      }, 
    ], 
    creation_date_time: Time.parse("1421866952.062"), 
    item_count: 0, 
    key_schema: [
      {
        attribute_name: "Artist", 
        key_type: "HASH", 
      }, 
      {
        attribute_name: "SongTitle", 
        key_type: "RANGE", 
      }, 
    ], 
    provisioned_throughput: {
      last_increase_date_time: Time.parse("1421874759.194"), 
      number_of_decreases_today: 1, 
      read_capacity_units: 1, 
      write_capacity_units: 1, 
    }, 
    table_name: "MusicCollection", 
    table_size_bytes: 0, 
    table_status: "UPDATING", 
  }, 
}

Request syntax with placeholder values


resp = client.update_table({
  attribute_definitions: [
    {
      attribute_name: "KeySchemaAttributeName", # required
      attribute_type: "S", # required, accepts S, N, B
    },
  ],
  table_name: "TableName", # required
  provisioned_throughput: {
    read_capacity_units: 1, # required
    write_capacity_units: 1, # required
  },
  global_secondary_index_updates: [
    {
      update: {
        index_name: "IndexName", # required
        provisioned_throughput: { # required
          read_capacity_units: 1, # required
          write_capacity_units: 1, # required
        },
      },
      create: {
        index_name: "IndexName", # required
        key_schema: [ # required
          {
            attribute_name: "KeySchemaAttributeName", # required
            key_type: "HASH", # required, accepts HASH, RANGE
          },
        ],
        projection: { # required
          projection_type: "ALL", # accepts ALL, KEYS_ONLY, INCLUDE
          non_key_attributes: ["NonKeyAttributeName"],
        },
        provisioned_throughput: { # required
          read_capacity_units: 1, # required
          write_capacity_units: 1, # required
        },
      },
      delete: {
        index_name: "IndexName", # required
      },
    },
  ],
  stream_specification: {
    stream_enabled: false,
    stream_view_type: "NEW_IMAGE", # accepts NEW_IMAGE, OLD_IMAGE, NEW_AND_OLD_IMAGES, KEYS_ONLY
  },
})

Response structure


resp.table_description.attribute_definitions #=> Array
resp.table_description.attribute_definitions[0].attribute_name #=> String
resp.table_description.attribute_definitions[0].attribute_type #=> String, one of "S", "N", "B"
resp.table_description.table_name #=> String
resp.table_description.key_schema #=> Array
resp.table_description.key_schema[0].attribute_name #=> String
resp.table_description.key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table_description.table_status #=> String, one of "CREATING", "UPDATING", "DELETING", "ACTIVE"
resp.table_description.creation_date_time #=> Time
resp.table_description.provisioned_throughput.last_increase_date_time #=> Time
resp.table_description.provisioned_throughput.last_decrease_date_time #=> Time
resp.table_description.provisioned_throughput.number_of_decreases_today #=> Integer
resp.table_description.provisioned_throughput.read_capacity_units #=> Integer
resp.table_description.provisioned_throughput.write_capacity_units #=> Integer
resp.table_description.table_size_bytes #=> Integer
resp.table_description.item_count #=> Integer
resp.table_description.table_arn #=> String
resp.table_description.local_secondary_indexes #=> Array
resp.table_description.local_secondary_indexes[0].index_name #=> String
resp.table_description.local_secondary_indexes[0].key_schema #=> Array
resp.table_description.local_secondary_indexes[0].key_schema[0].attribute_name #=> String
resp.table_description.local_secondary_indexes[0].key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table_description.local_secondary_indexes[0].projection.projection_type #=> String, one of "ALL", "KEYS_ONLY", "INCLUDE"
resp.table_description.local_secondary_indexes[0].projection.non_key_attributes #=> Array
resp.table_description.local_secondary_indexes[0].projection.non_key_attributes[0] #=> String
resp.table_description.local_secondary_indexes[0].index_size_bytes #=> Integer
resp.table_description.local_secondary_indexes[0].item_count #=> Integer
resp.table_description.local_secondary_indexes[0].index_arn #=> String
resp.table_description.global_secondary_indexes #=> Array
resp.table_description.global_secondary_indexes[0].index_name #=> String
resp.table_description.global_secondary_indexes[0].key_schema #=> Array
resp.table_description.global_secondary_indexes[0].key_schema[0].attribute_name #=> String
resp.table_description.global_secondary_indexes[0].key_schema[0].key_type #=> String, one of "HASH", "RANGE"
resp.table_description.global_secondary_indexes[0].projection.projection_type #=> String, one of "ALL", "KEYS_ONLY", "INCLUDE"
resp.table_description.global_secondary_indexes[0].projection.non_key_attributes #=> Array
resp.table_description.global_secondary_indexes[0].projection.non_key_attributes[0] #=> String
resp.table_description.global_secondary_indexes[0].index_status #=> String, one of "CREATING", "UPDATING", "DELETING", "ACTIVE"
resp.table_description.global_secondary_indexes[0].backfilling #=> Boolean
resp.table_description.global_secondary_indexes[0].provisioned_throughput.last_increase_date_time #=> Time
resp.table_description.global_secondary_indexes[0].provisioned_throughput.last_decrease_date_time #=> Time
resp.table_description.global_secondary_indexes[0].provisioned_throughput.number_of_decreases_today #=> Integer
resp.table_description.global_secondary_indexes[0].provisioned_throughput.read_capacity_units #=> Integer
resp.table_description.global_secondary_indexes[0].provisioned_throughput.write_capacity_units #=> Integer
resp.table_description.global_secondary_indexes[0].index_size_bytes #=> Integer
resp.table_description.global_secondary_indexes[0].item_count #=> Integer
resp.table_description.global_secondary_indexes[0].index_arn #=> String
resp.table_description.stream_specification.stream_enabled #=> Boolean
resp.table_description.stream_specification.stream_view_type #=> String, one of "NEW_IMAGE", "OLD_IMAGE", "NEW_AND_OLD_IMAGES", "KEYS_ONLY"
resp.table_description.latest_stream_label #=> String
resp.table_description.latest_stream_arn #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :attribute_definitions (Array<Types::AttributeDefinition>)

    An array of attributes that describe the key schema for the table and indexes. If you are adding a new global secondary index to the table, AttributeDefinitions must include the key element(s) of the new index.

  • :table_name (required, String)

    The name of the table to be updated.

  • :provisioned_throughput (Types::ProvisionedThroughput)

    The new provisioned throughput settings for the specified table or index.

  • :global_secondary_index_updates (Array<Types::GlobalSecondaryIndexUpdate>)

    An array of one or more global secondary indexes for the table. For each index in the array, you can request one action:

    • Create - add a new global secondary index to the table.

    • Update - modify the provisioned throughput settings of an existing global secondary index.

    • Delete - remove a global secondary index from the table.

    For more information, see Managing Global Secondary Indexes in the Amazon DynamoDB Developer Guide.

  • :stream_specification (Types::StreamSpecification)

    Represents the DynamoDB Streams configuration for the table.

    You will receive a ResourceInUseException if you attempt to enable a stream on a table that already has a stream, or if you attempt to disable a stream on a table which does not have a stream.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 4083

def update_table(params = {}, options = {})
  req = build_request(:update_table, params)
  req.send_request(options)
end

#update_time_to_live(params = {}) ⇒ Types::UpdateTimeToLiveOutput

The UpdateTimeToLive method will enable or disable TTL for the specified table. A successful UpdateTimeToLive call returns the current TimeToLiveSpecification; it may take up to one hour for the change to fully process. Any additional UpdateTimeToLive calls for the same table during this one hour duration result in a ValidationException.

TTL compares the current time in epoch time format to the time stored in the TTL attribute of an item. If the epoch time value stored in the attribute is less than the current time, the item is marked as expired and subsequently deleted.

The epoch time format is the number of seconds elapsed since 12:00:00 AM January 1st, 1970 UTC.

DynamoDB deletes expired items on a best-effort basis to ensure availability of throughput for other data operations.

DynamoDB typically deletes expired items within two days of expiration. The exact duration within which an item gets deleted after expiration is specific to the nature of the workload. Items that have expired and not been deleted will still show up in reads, queries, and scans.

As items are deleted, they are removed from any Local Secondary Index and Global Secondary Index immediately in the same eventually consistent way as a standard delete operation.

For more information, see Time To Live in the Amazon DynamoDB Developer Guide.

Examples:

Request syntax with placeholder values


resp = client.update_time_to_live({
  table_name: "TableName", # required
  time_to_live_specification: { # required
    enabled: false, # required
    attribute_name: "TimeToLiveAttributeName", # required
  },
})

Response structure


resp.time_to_live_specification.enabled #=> Boolean
resp.time_to_live_specification.attribute_name #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :table_name (required, String)

    The name of the table to be configured.

  • :time_to_live_specification (required, Types::TimeToLiveSpecification)

    Represents the settings used to enable or disable Time to Live for the specified table.

Returns:

See Also:



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 4155

def update_time_to_live(params = {}, options = {})
  req = build_request(:update_time_to_live, params)
  req.send_request(options)
end

#wait_until(waiter_name, params = {}, options = {}) {|w.waiter| ... } ⇒ Boolean

Polls an API operation until a resource enters a desired state.

Basic Usage

A waiter will call an API operation until:

  • It is successful
  • It enters a terminal state
  • It makes the maximum number of attempts

In between attempts, the waiter will sleep.

# polls in a loop, sleeping between attempts
client.waiter_until(waiter_name, params)

Configuration

You can configure the maximum number of polling attempts, and the delay (in seconds) between each polling attempt. You can pass configuration as the final arguments hash.

# poll for ~25 seconds
client.wait_until(waiter_name, params, {
  max_attempts: 5,
  delay: 5,
})

Callbacks

You can be notified before each polling attempt and before each delay. If you throw :success or :failure from these callbacks, it will terminate the waiter.

started_at = Time.now
client.wait_until(waiter_name, params, {

  # disable max attempts
  max_attempts: nil,

  # poll for 1 hour, instead of a number of attempts
  before_wait: -> (attempts, response) do
    throw :failure if Time.now - started_at > 3600
  end
})

Handling Errors

When a waiter is unsuccessful, it will raise an error. All of the failure errors extend from Waiters::Errors::WaiterFailed.

begin
  client.wait_until(...)
rescue Aws::Waiters::Errors::WaiterFailed
  # resource did not enter the desired state in time
end

Valid Waiters

The following table lists the valid waiter names, the operations they call, and the default :delay and :max_attempts values.

waiter_name params :delay :max_attempts
table_exists #describe_table 20 25
table_not_exists #describe_table 20 25

Parameters:

  • waiter_name (Symbol)
  • params (Hash) (defaults to: {})

    ({})

  • options (Hash) (defaults to: {})

    ({})

Options Hash (options):

  • :max_attempts (Integer)
  • :delay (Integer)
  • :before_attempt (Proc)
  • :before_wait (Proc)

Yields:

  • (w.waiter)

Returns:

  • (Boolean)

    Returns true if the waiter was successful.

Raises:

  • (Errors::FailureStateError)

    Raised when the waiter terminates because the waiter has entered a state that it will not transition out of, preventing success.

  • (Errors::TooManyAttemptsError)

    Raised when the configured maximum number of attempts have been made, and the waiter is not yet successful.

  • (Errors::UnexpectedError)

    Raised when an error is encounted while polling for a resource that is not expected.

  • (Errors::NoSuchWaiterError)

    Raised when you request to wait for an unknown state.



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# File 'gems/aws-sdk-dynamodb/lib/aws-sdk-dynamodb/client.rb', line 4266

def wait_until(waiter_name, params = {}, options = {})
  w = waiter(waiter_name, options)
  yield(w.waiter) if block_given? # deprecated
  w.wait(params)
end