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Posted to dev@atlas.apache.org by "Barbara Eckman (JIRA)" <ji...@apache.org> on 2018/05/21 20:05:00 UTC
[jira] [Created] (ATLAS-2708) AWS S3 data lake typedefs for Atlas
Barbara Eckman created ATLAS-2708:
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Summary: AWS S3 data lake typedefs for Atlas
Key: ATLAS-2708
URL: https://issues.apache.org/jira/browse/ATLAS-2708
Project: Atlas
Issue Type: New Feature
Components: atlas-core
Reporter: Barbara Eckman
Currently the base types in Atlas do not include AWS data lake objects. It would be nice to add typedefs for AWS data lake objects (buckets and pseudo-directories) and lineage processes that move the data from another source (e.g., kafka topic) to the data lake. For example:
* AWSS3PseudoDir type represents the pseudo-directory “prefix” of objects in an S3 bucket. For example, in the case of an object with key “myWork/Development/Projects1.xls”, “myWork/Development” is the pseudo-directory. It supports:
** Array of avro schemas that are associated with the data in the pseudo-directory (based on Avro schema extensions outlined in ATLAS-2694)
** what type of data it contains, e.g., avro, json, unstructured
** time of creation
* AWSS3BucketLifeCycleRule type represents a rule specifying a transition of the data in a bucket to a storageClass after a specific time interval, or expiration. For example, transition to GLACIER after 60 days, or expire (i.e. be deleted) after 90 days:
** ruleType (e.g., transition or expiration)
** time interval in days before rule is executed
** storageClass to which the data is transitioned (null if ruleType is expiration)
* AWSTag type represents a tag-value pair created by the user and associated with an AWS object.
** tag
** value
* AWSCloudWatchMetric type represents a storage or request metric that is monitored by AWS CloudWatch and can be configured for a bucket
** metricName, for example, “AllRequests”, “GetRequests”, TotalRequestLatency, BucketSizeBytes
** scope: null if entire bucket; otherwise, the prefixes/tags that filter or limit the monitoring of the metric.
* AWSS3Bucket type represents a bucket in an S3 instance. It supports:
** Array of AWSS3PseudoDirectories that are associated with objects stored in the bucket
** AWS region
** IsEncrypted (boolean)
** encryptionType, e.g., AES-256
** S3AccessPolicy, a JSON object expressing access policies, eg GetObject, PutObject
** time of creation
** Array of AWSS3BucketLifeCycleRules that are associated with the bucket
** Array of AWSS3CloudWatchMetrics that are associated with the bucket or its tags or prefixes
** Array of AWSTags that are associated with the bucket
* Generic dataset2Dataset process to represent movement of data from one dataset to another. It supports:
** array of transforms performed by the process
** map of tag/value pairs representing configurationParameters of the process
** inputs and outputs are arrays of dataset objects, e.g., kafka topic and S3 pseudo-directory.
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