dynamodb-expressions
v3.2.3
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Helpers for creating DynamoDB expressions
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dynamodb-expressions
Zero-dependency library of helpers for creating DynamoDB expressions without the hassle of maintaining ExpressionAttributeValues
, escaping reserved attribute names, dealing with #param
, :value
etc! 🎉
BREAKING CHANGE in v3:
Condition.and()
and Condition.or()
now have a different meaning from before.
- The old methods are moved to
ConditionSet
namespace, which is more consistent since they both returnConditionSet
. - The new methods return
Condition
which is in line with all other static methods onCondition
, and enables easy use ofAND
/OR
conditions on a single attribute, with shorter syntax:
{
a: 1
b: Condition.or(2, 3)
c: Condition.or(4, 5)
}
=> "a = 1 AND (b = 2 OR b = 3) AND (c = 4 OR c = 5)"
which using the old way of creating OR conditions would be
ConditionSet.and(
{a: 1},
ConditionSet.or({b: 2}, {b: 3}),
ConditionSet.or({c: 4}, {c: 5})
)
=> "a = 1 AND (b = 2 OR b = 3) AND (c = 4 OR c = 5)"
Introduction
This module enables building complex DynamoDB expressions (update expressions or condition expressions) using a simple syntax, with TypeScript typing. A condition string is built from attributes, and attribute names and values are handled and added to the supplied params.
Update expressions
A simple update of attributes foo
and bar
:
await ddb.update(buildUpdateParams({
params: {
TableName: 'my-stuff',
Key: {id: '42'},
},
attributes: {
foo: 42,
bar: 'HELLO'
}
}));
Note that buildUpdateParams
will add UpdateExpression
, ExpressionAttributeNames
and ExpressionAttributeValues
to the given params and return the combined object.
If ExpressionAttributeNames
or ExpressionAttributeValues
already exists in the given params
, they will be built upon, meaning you can combine calls to buildUpdateParams
and e.g. buildConditionParams
.
Alternatively you may of course add your other params separately:
await ddb.update({
TableName: 'my-stuff',
Key: {id: '42'},
...buildUpdateParams({
attributes: {
foo: 42,
bar: 'HELLO'
}
})
};
The library offers a simple syntax for producing complex conditions.
Examples of more advanced operations:
{
foo: 42, // set scalar value
bar: UpdateAction.remove(), // remove attribute
baz: UpdateAction.add(1), // increment number by 1
mySet: UpdateAction.add(new Set([4])), // add 4 to mySet
myOtherSet: UpdateAction.delete(new Set([5, 7])), // remove 5 and 7 from myOtherSet
myList: UpdateAction.set(SetValue.append('mylist', [1, 2])), // append 1, 2 to myList
qux: UpdateAction.set(SetValue.ifNotExists('qux', 42)), // Set qux to 42 if it doesn't exist
abc: UpdateAction.set(SetValue.append(SetValue.ifNotExists('qux', ['hello']), ['world'])), // Set abc to the list stored in qux with 'world' appended to it; or if qux does not exist, default to a list containing 'hello'
}
You may also use the (legacy) function buildUpdateExpression
, which returns the UpdateExpression
as a single string. However, to obtain the ExpressionAttributeNames
and ExpressionAttributeValues
you must pass an in/out object which you then manually merge, since it contains ExpressionAttributeNames
and ExpressionAttributeValues
after the call to buildUpdateExpression()
has returned:
const params = {};
await ddb.update(
TableName: 'my-stuff',
Key: {id: '42'},
UpdateExpression: buildUpdateExpression({
foo: 42,
bar: 'HELLO'
}, params),
...params
};
Update operators:
All operators supported by DynamoDB as per https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Expressions.UpdateExpressions.html are included:
- SET
- REMOVE
- ADD
- DELETE
Nested attributes, lists, sets and built-in DynamoDB functions such as list_append
, if_not_exists
etc are supported.
Condition expressions
This is very similar to update expressions, but may instead produce ConditionExpression
or KeyConditionExpression
values.
await ddb.query(buildKeyConditionParams({
params: {
TableName: 'my-stuff',
IndexName: 'my-index',
},
conditions: {
foo: 42, // foo = 42
bar: Condition.gt(4), // bar > 4
baz: Condition.between(7, 12) // baz BETWEEN 7, 12
qux: Condition.in([1, 2, 4]) // qux IN (1, 2, 4)
str: Condition.beginsWith('foo') // begins_with(str, 'foo')
}
}));
Alternatively:
await ddb.query({
TableName: 'my-stuff',
IndexName: 'my-index',
...buildKeyConditionParams({
conditions: {
foo: 42, // foo = 42
bar: Condition.gt(4), // bar > 4
baz: Condition.between(7, 12) // baz BETWEEN 7, 12
qux: Condition.in([1, 2, 4]) // qux IN (1, 2, 4)
str: Condition.beginsWith('foo') // begins_with(str, 'foo')
}
});
});
Legacy function with manual passing of params
:
const params = {};
const ConditionExpression = buildConditionExpression({
foo: 42, // foo = 42
bar: Condition.gt(4), // bar > 4
baz: Condition.between(7, 12) // baz BETWEEN 7, 12
qux: Condition.in([1, 2, 4]) // qux IN (1, 2, 4)
str: Condition.beginsWith('foo') // begins_with(str, 'foo')
}, params);
await ddb.query({
TableName: 'my-stuff',
IndexName: 'my-index',
KeyConditionExpression,
...params
});
Condition operators:
The operators and functions described at https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Expressions.OperatorsAndFunctions.html are all supported:
- Arithmetic
=
<>
<
<=
>
>=
- Value sets
IN
- Value ranges
BETWEEN
- Boolean operators
AND
OR
NOT
- Functions:
attribute_exists
attribute_not_exists
attribute_type
begins_with
contains
size
New in v3 is also the fact that Condition
also has an evaluate
method which can be used for supporting default values for missing attributes:
{
x: Condition.in(['foo', 'bar']).withDefaultValue('foo')
}
This means that if the given default value matches the condition, records where the attribute is missing will also be included;
in other words, the complete condition will be (#x IN (:foo, :bar) OR attribute_not_exists(#x))
since records without the attribute will be treated as if they had the value foo
, which matches the condition.
A default value that doesn't match the condition will not affect it though:
{
x: Condition.in(['foo', 'bar']).withDefaultValue('baz')
}
The condition will be#x IN (:foo, :bar)
since records without the attribute will be treated as if they had the attribute value baz
, which was not a value we wanted to match.
The evaluate
method may also be used to locally evaluate a condition against a value, for testing or other purposes.
> const c = Condition.ge(42);
> console.log(c.evaluate(42))
true
> console.log(c.evaluate(41))
false
Pitfalls
Name/Value ambiguities
Many functions or operations in update or condition expressions support literal values as well as paths to other attributes
of an item.
There are some cases where the library receives a string argument and has to "guess" if that value is a string literal or
a path to an attribute, such as when applying a condition for a
being less than or equal to b
.
In such cases, it's possible to explicitly mark a value as a path or a value, by prepending a #
to a path or a :
to
a value. This also applies if a value contains a #
character or a path contains a :
character - then the strings must
be prepended ("escaped") with #
or :
, respectively.
These prepended special characters are stripped away when the expressions are written.
Examples:
- Value of attribute
a
should be less than string literal"b"
:{a: Condition.lt('b')}
- Value of attribute
a
should be less than the value of attributeb
:{a: Condition.lt('#b')}
- Value of attribute
a
should be less than the value of attribute:b
:{a: Condition.lt('#:b')}
- Value of attribute
a
should be less than string literal"#b"
:{a: Condition.lt(':#b')}
- Value of attribute
a
should be less than string literal":b"
:{a: Condition.lt('::b')}
If relying on implicit path/value detection, a condition will typically assume that operands are values unless a #
character is present, such as in {a: Condition.between('a', 'z')}
where the operands are both string literals.
Note also that there are a few cases where only paths are expected, but where #
is not required, such as SetValue.ifNotExists(path, defaultValue)