Developer Guide

JMESPath Expressions in the AWS SDK for PHP version 3

JMESPath enables you to declaratively specify how to extract elements from a JSON document. The AWS SDK for PHP has a dependency on jmespath.php to power some of the high-level abstractions like Paginators in the AWS SDK for PHP version 3 and Waiters in the AWS SDK for PHP version 3, but also exposes JMESPath searching on Aws\ResultInterface and Aws\ResultPaginator.

You can play around with JMESPath in your browser by trying the online JMESPath examples. You can learn more about the language, including the available expressions and functions, in the JMESPath specification.

The AWS CLI supports JMESPath. Expressions you write for CLI output are 100 percent compatible with expressions written for the AWS SDK for PHP.

Extracting Data from Results

The Aws\ResultInterface interface has a search($expression) method that extracts data from a result model based on a JMESPath expression. Using JMESPath expressions to query the data from a result object can help to remove boilerplate conditional code, and more concisely express the data that is being extracted.

To demonstrate how it works, we'll start with the default JSON output below, which describes two Amazon Elastic Block Store (Amazon EBS) volumes attached to separate Amazon EC2 instances.

$result = $ec2Client->describeVolumes(); // Output the result data as JSON (just so we can clearly visualize it) echo json_encode($result->toArray(), JSON_PRETTY_PRINT);
{ "Volumes": [ { "AvailabilityZone": "us-west-2a", "Attachments": [ { "AttachTime": "2013-09-17T00:55:03.000Z", "InstanceId": "i-a071c394", "VolumeId": "vol-e11a5288", "State": "attached", "DeleteOnTermination": true, "Device": "/dev/sda1" } ], "VolumeType": "standard", "VolumeId": "vol-e11a5288", "State": "in-use", "SnapshotId": "snap-f23ec1c8", "CreateTime": "2013-09-17T00:55:03.000Z", "Size": 30 }, { "AvailabilityZone": "us-west-2a", "Attachments": [ { "AttachTime": "2013-09-18T20:26:16.000Z", "InstanceId": "i-4b41a37c", "VolumeId": "vol-2e410a47", "State": "attached", "DeleteOnTermination": true, "Device": "/dev/sda1" } ], "VolumeType": "standard", "VolumeId": "vol-2e410a47", "State": "in-use", "SnapshotId": "snap-708e8348", "CreateTime": "2013-09-18T20:26:15.000Z", "Size": 8 } ], "@metadata": { "statusCode": 200, "effectiveUri": "https:\/\/", "headers": { "content-type": "text\/xml;charset=UTF-8", "transfer-encoding": "chunked", "vary": "Accept-Encoding", "date": "Wed, 06 May 2015 18:01:14 GMT", "server": "AmazonEC2" } } }

First, we can retrieve only the first volume from the Volumes list with the following command.

$firstVolume = $result->search('Volumes[0]');

Now, we use the wildcard-index expression [*] to iterate over the entire list and also extract and rename three elements: VolumeId is renamed to ID, AvailabilityZone is renamed to AZ, and Size remains Size. We can extract and rename these elements using a multi-hash expression placed after the wildcard-index expression.

$data = $result->search('Volumes[*].{ID: VolumeId, AZ: AvailabilityZone, Size: Size}');

This gives us an array of PHP data like the following:

array(2) { [0] => array(3) { 'AZ' => string(10) "us-west-2a" 'ID' => string(12) "vol-e11a5288" 'Size' => int(30) } [1] => array(3) { 'AZ' => string(10) "us-west-2a" 'ID' => string(12) "vol-2e410a47" 'Size' => int(8) } }

In the multi-hash notation, you can also use chained keys such as key1.key2[0].key3 to extract elements deeply nested within the structure. The following example demonstrates this with the Attachments[0].InstanceId key, aliased to simply InstanceId. (In most cases, JMESPath expressions will ignore whitespace.)

$expr = 'Volumes[*].{ID: VolumeId, InstanceId: Attachments[0].InstanceId, AZ: AvailabilityZone, Size: Size}'; $data = $result->search($expr); var_dump($data);

The previous expression will output the following data:

array(2) { [0] => array(4) { 'ID' => string(12) "vol-e11a5288" 'InstanceId' => string(10) "i-a071c394" 'AZ' => string(10) "us-west-2a" 'Size' => int(30) } [1] => array(4) { 'ID' => string(12) "vol-2e410a47" 'InstanceId' => string(10) "i-4b41a37c" 'AZ' => string(10) "us-west-2a" 'Size' => int(8) } }

You can also filter multiple elements with the multi-list expression:[key1, key2]. This formats all filtered attributes into a single ordered list per object, regardless of type.

$expr = 'Volumes[*].[VolumeId, Attachments[0].InstanceId, AvailabilityZone, Size]'; $data = $result->search($expr); var_dump($data);

Running the previous search produces the following data:

array(2) { [0] => array(4) { [0] => string(12) "vol-e11a5288" [1] => string(10) "i-a071c394" [2] => string(10) "us-west-2a" [3] => int(30) } [1] => array(4) { [0] => string(12) "vol-2e410a47" [1] => string(10) "i-4b41a37c" [2] => string(10) "us-west-2a" [3] => int(8) } }

Use a filter expression to filter results by the value of a specific field. The following example query outputs only volumes in the us-west-2a Availability Zone.

$data = $result->search("Volumes[?AvailabilityZone ## 'us-west-2a']");

JMESPath also supports function expressions. Let's say you want to run the same query as above, but instead retrieve all volumes in which the volume is in an AWS Region that starts with "us-". The following expression uses the starts_with function, passing in a string literal of us-. This function's result is then compared against the JSON literal value of true, passing only results of the filter predicate that returned true through the filter projection.

$data = $result->search('Volumes[?starts_with(AvailabilityZone, 'us-') ## `true`]');

Extracting Data from paginators

As you know from the Paginators in the AWS SDK for PHP version 3 guide, Aws\ResultPaginator objects are used to yield results from a pageable API operation. The AWS SDK for PHP enables you to extract and iterate over filtered data from Aws\ResultPaginator objects, essentially implementing a flat-map over the iterator in which the result of a JMESPath expression is the map function.

Let's say you want to create an iterator that yields only objects from a bucket that are larger than 1 MB. This can be achieved by first creating a ListObjects paginator and then applying a search() function to the paginator, creating a flat-mapped iterator over the paginated data.

$result = $s3Client->getPaginator('ListObjects', ['Bucket' => 't1234']); $filtered = $result->search('Contents[?Size > `1048576`]'); // The result yielded as $data will be each individual match from // Contents in which the Size attribute is > 1048576 foreach ($filtered as $data) { var_dump($data); }