Using Cloudera Navigator with Amazon S3

Cloudera Navigator does not support lifecycle rules that remove objects from Amazon S3. For example, an object lifecycle rule that removes objects older than n days deletes the object from Amazon S3 but the event is not tracked by Cloudera Navigator. This limitation applies to removing objects only. Using lifecycle rules requires using bulk-only extraction. See Custom Configurations for details about configuring the necessary AWS Policy and applying it to the Amazon S3 bucket for use by Cloudera Navigator.

Amazon Simple Queue Service (SQS) is a distributed, highly scalable hosted queue for storing messages. Amazon Simple Notification Service (SNS) is publish-subscribe notification service that coordinates message delivery. Both services can be configured for use with Amazon S3 storage buckets. For example, Amazon S3 storage buckets can send notification messages to one or more queues or to email addresses whenever specified events occur, such as creating, renaming, updating, or deleting data on the Amazon S3 bucket.

During the default configuration process, Cloudera Navigator transparently sets up an Amazon SQS queue and configures Amazon S3 event notification for each bucket. The queue is used to hold event messages that are subsequently collected by the Cloudera Navigator S3 extractor process, for incremental extracts. Use the default configuration process only for Amazon S3 buckets that do not have existing queues or notifications configured.

For Amazon S3 buckets that are already configured for queues, use the custom configuration process—sometimes referred to as "Bring Your Own Queue" (BYOQ)—to manually configure queues for Cloudera Navigator. For Amazon S3 buckets that are already configured for notifications, use the BYOQ custom configuration in conjunction with Amazon SNS in a fan-out configuration. In a fan-out scenario, an Amazon SNS message is sent to a topic and then replicated and pushed to multiple Amazon SQS queues, HTTP endpoints, or email addresses. See Common Amazon SNS Scenarios for more information about fan-out configuration, and see Custom Configurations for details about configuring Cloudera Navigator when the Amazon S3 bucket is already set up for either Amazon SQS or Amazon SNS.

Amazon S3 storage does not use a directory structure or other hierarchy as found in a traditional file system. Each object has an object key name that identifies the object by its S3Uri location—the path to the object. This path includes the object, prefix if any, and bucket name. Including the S3 protocol specifier, the pattern is as follows:

s3://bucketname/prefix/objectkey

There can be more than one prefix in an object key name. Prefixes are separated by the forward slash character (/). Although Amazon S3 provides a folder metaphor for organizing objects in an S3 bucket, the folder does not provide actual containment or structure: it is the object key name and its S3Uri location that identifies the object.

Cloudera Navigator mimics file system behavior by mapping elements of the object key name to implicit folders. For example, for an Amazon S3 file with the object key name 2017/08_AUG/data-raw.csv, Cloudera Navigator creates an entity with the path 2017/08_AUG/data-raw.csv and also creates two directories: 2017 and 2017/08_AUG.

Cloudera Navigator	Amazon S3

Cloudera Navigator console Lineage tab for the file with object key 2017/08_AUG/data-raw.csv shows it in the context of implicit folders:

Cloudera Navigator has some limitations specifically for deleted objects and implicit folders as follows:

• Cloudera Navigator does not mark an implicit folder as deleted even after all its child objects have been deleted.
• Cloudera Navigator does not mark as deleted any objects and folders deleted using Amazon S3 tools, such as the AWS CLI (aws s3 commands) or the AWS Management Console.

For more details about the properties shown by Cloudera Navigator, see S3 Properties in the Reference section of this guide.

Despite the differences between an object store and a hierarchical store, data engineers can work with Amazon S3 using the Cloudera Navigator in much the same way as for HDFS and other entities.

By default, Cloudera Navigator uses combined bulk and incremental extraction processes. An initial bulk process extracts all metadata from an Amazon S3 bucket during the configuration process. Subsequent extracts are incremental. Changes are collected from an Amazon SQS queue created by Cloudera Navigator during the default configuration process.

Amazon meters usage and charges differently for each of these APIs.