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 dataset 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 reads 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 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.
dynamodb_scan(TableName, IndexName, AttributesToGet, Limit, Select,
ScanFilter, ConditionalOperator, ExclusiveStartKey,
ReturnConsumedCapacity, TotalSegments, Segment, ProjectionExpression,
FilterExpression, ExpressionAttributeNames, ExpressionAttributeValues,
ConsistentRead)A list with the following syntax:
list(
Items = list(
list(
list(
S = "string",
N = "string",
B = raw,
SS = list(
"string"
),
NS = list(
"string"
),
BS = list(
raw
),
M = list(
list()
),
L = list(
list()
),
NULL = TRUE|FALSE,
BOOL = TRUE|FALSE
)
)
),
Count = 123,
ScannedCount = 123,
LastEvaluatedKey = list(
list(
S = "string",
N = "string",
B = raw,
SS = list(
"string"
),
NS = list(
"string"
),
BS = list(
raw
),
M = list(
list()
),
L = list(
list()
),
NULL = TRUE|FALSE,
BOOL = TRUE|FALSE
)
),
ConsumedCapacity = list(
TableName = "string",
CapacityUnits = 123.0,
ReadCapacityUnits = 123.0,
WriteCapacityUnits = 123.0,
Table = list(
ReadCapacityUnits = 123.0,
WriteCapacityUnits = 123.0,
CapacityUnits = 123.0
),
LocalSecondaryIndexes = list(
list(
ReadCapacityUnits = 123.0,
WriteCapacityUnits = 123.0,
CapacityUnits = 123.0
)
),
GlobalSecondaryIndexes = list(
list(
ReadCapacityUnits = 123.0,
WriteCapacityUnits = 123.0,
CapacityUnits = 123.0
)
)
)
)
[required] The name of the table containing the requested items; or, if you provide
IndexName, the name of the table to which that index belongs.
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.
This is a legacy parameter. Use ProjectionExpression instead. For more
information, see
AttributesToGet
in the Amazon DynamoDB Developer Guide.
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 dataset 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 Working with Queries
in the Amazon DynamoDB Developer Guide.
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 fetches 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 reads only the index and not the table. If any of the requested attributes are not projected into the local secondary index, DynamoDB fetches 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.
This is a legacy parameter. Use FilterExpression instead. For more
information, see
ScanFilter
in the Amazon DynamoDB Developer Guide.
This is a legacy parameter. Use FilterExpression instead. For more
information, see
ConditionalOperator
in the Amazon DynamoDB Developer Guide.
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.
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.
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.
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 Specifying Item Attributes in the Amazon DynamoDB Developer Guide.
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.
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 Specifying Item Attributes in the Amazon DynamoDB Developer Guide.
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 Condition Expressions in the Amazon DynamoDB Developer Guide.
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
(put_item,
update_item, or
delete_item).
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.
svc$scan(
TableName = "string",
IndexName = "string",
AttributesToGet = list(
"string"
),
Limit = 123,
Select = "ALL_ATTRIBUTES"|"ALL_PROJECTED_ATTRIBUTES"|"SPECIFIC_ATTRIBUTES"|"COUNT",
ScanFilter = list(
list(
AttributeValueList = list(
list(
S = "string",
N = "string",
B = raw,
SS = list(
"string"
),
NS = list(
"string"
),
BS = list(
raw
),
M = list(
list()
),
L = list(
list()
),
NULL = TRUE|FALSE,
BOOL = TRUE|FALSE
)
),
ComparisonOperator = "EQ"|"NE"|"IN"|"LE"|"LT"|"GE"|"GT"|"BETWEEN"|"NOT_NULL"|"NULL"|"CONTAINS"|"NOT_CONTAINS"|"BEGINS_WITH"
)
),
ConditionalOperator = "AND"|"OR",
ExclusiveStartKey = list(
list(
S = "string",
N = "string",
B = raw,
SS = list(
"string"
),
NS = list(
"string"
),
BS = list(
raw
),
M = list(
list()
),
L = list(
list()
),
NULL = TRUE|FALSE,
BOOL = TRUE|FALSE
)
),
ReturnConsumedCapacity = "INDEXES"|"TOTAL"|"NONE",
TotalSegments = 123,
Segment = 123,
ProjectionExpression = "string",
FilterExpression = "string",
ExpressionAttributeNames = list(
"string"
),
ExpressionAttributeValues = list(
list(
S = "string",
N = "string",
B = raw,
SS = list(
"string"
),
NS = list(
"string"
),
BS = list(
raw
),
M = list(
list()
),
L = list(
list()
),
NULL = TRUE|FALSE,
BOOL = TRUE|FALSE
)
),
ConsistentRead = TRUE|FALSE
)
if (FALSE) {
# This example scans the entire Music table, and then narrows the results
# to songs by the artist "No One You Know". For each item, only the album
# title and song title are returned.
svc$scan(
ExpressionAttributeNames = list(
`#AT` = "AlbumTitle",
`#ST` = "SongTitle"
),
ExpressionAttributeValues = list(
`:a` = list(
S = "No One You Know"
)
),
FilterExpression = "Artist = :a",
ProjectionExpression = "#ST, #AT",
TableName = "Music"
)
}
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