Condition expressions
To manipulate data in an Amazon DynamoDB table, you use the PutItem
,
UpdateItem
, and DeleteItem
operations. (You can also use
BatchWriteItem
to perform multiple PutItem
or
DeleteItem
operations in a single call.)
For these data manipulation operations, you can specify a condition expression to determine which items should be modified. If the condition expression evaluates to true, the operation succeeds; otherwise, the operation fails.
The following are some Amazon Command Line Interface (Amazon CLI) examples of using condition expressions. These
examples are based on the ProductCatalog
table, which was introduced in Specifying item attributes when using
expressions. The partition
key for this table is Id
; there is no sort key. The following
PutItem
operation creates a sample ProductCatalog
item that
the examples refer to.
aws dynamodb put-item \ --table-name ProductCatalog \ --item file://item.json
The arguments for --item
are stored in the item.json
file. (For simplicity, only a few item attributes are used.)
{ "Id": {"N": "456" }, "ProductCategory": {"S": "Sporting Goods" }, "Price": {"N": "650" } }
Topics
Conditional put
The PutItem
operation overwrites an item with the same primary key (if it
exists). If you want to avoid this, use a condition expression. This allows the write to
proceed only if the item in question does not already have the same primary key.
The following example uses attribute_not_exists()
to check whether the
primary key exists in the table before attempting the write operation.
Note
If your primary key consists of both a partition key(pk) and a sort key(sk), the
parameter will check whether attribute_not_exists(pk)
AND
attribute_not_exists(sk)
evaluate to true or false before attempting the write
operation.
aws dynamodb put-item \ --table-name ProductCatalog \ --item file://item.json \ --condition-expression "attribute_not_exists(Id)"
If the condition expression evaluates to false, DynamoDB returns the following error
message: The conditional request failed
.
Note
For more information about attribute_not_exists
and other functions,
see Comparison operator and function reference.
Conditional deletes
To perform a conditional delete, you use a DeleteItem
operation with a
condition expression. The condition expression must evaluate to true in order for the
operation to succeed; otherwise, the operation fails.
Consider the item from Condition expressions.
{ "Id": { "N": "456" }, "Price": { "N": "650" }, "ProductCategory": { "S": "Sporting Goods" } }
Suppose that you wanted to delete the item, but only under the following conditions:
-
The
ProductCategory
is either "Sporting Goods" or "Gardening Supplies." -
The
Price
is between 500 and 600.
The following example tries to delete the item.
aws dynamodb delete-item \ --table-name ProductCatalog \ --key '{"Id":{"N":"456"}}' \ --condition-expression "(ProductCategory IN (:cat1, :cat2)) and (Price between :lo and :hi)" \ --expression-attribute-values file://values.json
The arguments for --expression-attribute-values
are stored in the
values.json
file.
{ ":cat1": {"S": "Sporting Goods"}, ":cat2": {"S": "Gardening Supplies"}, ":lo": {"N": "500"}, ":hi": {"N": "600"} }
Note
In the condition expression, the :
(colon character) indicates an
expression attribute value—a placeholder for an
actual value. For more information, see Expression attribute
values.
For more information about IN
, AND
, and other keywords,
see Comparison operator and function reference.
In this example, the ProductCategory
comparison evaluates to true, but
the Price
comparison evaluates to false. This causes the condition
expression to evaluate to false and the DeleteItem
operation to
fail.
Conditional updates
To perform a conditional update, you use an UpdateItem
operation with a
condition expression. The condition expression must evaluate to true in order for the
operation to succeed; otherwise, the operation fails.
Note
UpdateItem
also supports update expressions,
where you specify the modifications you want to make to an item. For more
information, see Update expressions.
Suppose that you started with the item shown in Condition expressions.
{ "Id": { "N": "456"}, "Price": {"N": "650"}, "ProductCategory": {"S": "Sporting Goods"} }
The following example performs an UpdateItem
operation. It tries to
reduce the Price
of a product by 75—but the condition expression
prevents the update if the current Price
is less than or equal to
500.
aws dynamodb update-item \ --table-name ProductCatalog \ --key '{"Id": {"N": "456"}}' \ --update-expression "SET Price = Price - :discount" \ --condition-expression "Price > :limit" \ --expression-attribute-values file://values.json
The arguments for --expression-attribute-values
are stored in the
values.json
file.
{ ":discount": { "N": "75"}, ":limit": {"N": "500"} }
If the starting Price
is 650, the UpdateItem
operation
reduces the Price
to 575. If you run the UpdateItem
operation
again, the Price
is reduced to 500. If you run it a third time, the
condition expression evaluates to false, and the update fails.
Note
In the condition expression, the :
(colon character) indicates an
expression attribute value—a placeholder for an
actual value. For more information, see Expression attribute
values.
For more information about ">" and other operators, see Comparison operator and function reference.
Conditional expression examples
For more information about the functions used in the following examples, see Comparison operator and function reference. If you want to know more about how to specify different attribute types in an expression, see Specifying item attributes when using expressions.
Checking for attributes in an item
You can check for the existence (or nonexistence) of any attribute. If the condition expression evaluates to true, the operation succeeds; otherwise, it fails.
The following example uses attribute_not_exists
to delete a product
only if it does not have a Price
attribute.
aws dynamodb delete-item \ --table-name ProductCatalog \ --key '{"Id": {"N": "456"}}' \ --condition-expression "attribute_not_exists(Price)"
DynamoDB also provides an attribute_exists
function. The following
example deletes a product only if it has received poor reviews.
aws dynamodb delete-item \ --table-name ProductCatalog \ --key '{"Id": {"N": "456"}}' \ --condition-expression "attribute_exists(ProductReviews.OneStar)"
Checking for attribute type
You can check the data type of an attribute value by using the
attribute_type
function. If the condition expression evaluates to
true, the operation succeeds; otherwise, it fails.
The following example uses attribute_type
to delete a product only if
it has a Color
attribute of type String Set.
aws dynamodb delete-item \ --table-name ProductCatalog \ --key '{"Id": {"N": "456"}}' \ --condition-expression "attribute_type(Color, :v_sub)" \ --expression-attribute-values file://expression-attribute-values.json
The arguments for --expression-attribute-values
are stored in the
expression-attribute-values.json file.
{ ":v_sub":{"S":"SS"} }
Checking string starting value
You can check if a String attribute value begins with a particular substring by
using the begins_with
function. If the condition expression evaluates
to true, the operation succeeds; otherwise, it fails.
The following example uses begins_with
to delete a product only if
the FrontView
element of the Pictures
map starts with a
specific value.
aws dynamodb delete-item \ --table-name ProductCatalog \ --key '{"Id": {"N": "456"}}' \ --condition-expression "begins_with(Pictures.FrontView, :v_sub)" \ --expression-attribute-values file://expression-attribute-values.json
The arguments for --expression-attribute-values
are stored in the
expression-attribute-values.json file.
{ ":v_sub":{"S":"http://"} }
Checking for an element in a set
You can check for an element in a set or look for a substring within a string by
using the contains
function. If the condition expression evaluates to
true, the operation succeeds; otherwise, it fails.
The following example uses contains
to delete a product only if the
Color
String Set has an element with a specific value.
aws dynamodb delete-item \ --table-name ProductCatalog \ --key '{"Id": {"N": "456"}}' \ --condition-expression "contains(Color, :v_sub)" \ --expression-attribute-values file://expression-attribute-values.json
The arguments for --expression-attribute-values
are stored in the
expression-attribute-values.json file.
{ ":v_sub":{"S":"Red"} }
Checking the size of an attribute value
You can check for the size of an attribute value by using the size
function. If the condition expression evaluates to true, the operation succeeds;
otherwise, it fails.
The following example uses size
to delete a product only if the size
of the VideoClip
Binary attribute is greater than 64000
bytes.
aws dynamodb delete-item \ --table-name ProductCatalog \ --key '{"Id": {"N": "456"}}' \ --condition-expression "size(VideoClip) > :v_sub" \ --expression-attribute-values file://expression-attribute-values.json
The arguments for --expression-attribute-values
are stored in the
expression-attribute-values.json file.
{ ":v_sub":{"N":"64000"} }