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        "author_email": "openstack-discuss@lists.openstack.org",
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            "Intended Audience :: Information Technology",
            "Intended Audience :: System Administrators",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
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        "description": "Team and repository tags\n========================\n\n.. image:: https://governance.openstack.org/tc/badges/monasca-transform.svg\n    :target: https://governance.openstack.org/tc/reference/tags/index.html\n\n-  `Monasca Transform`_\n\n   -  `Use Cases handled by Monasca Transform`_\n   -  `Operation`_\n   -  `Architecture`_\n   -  `To set up the development environment`_\n   -  `Generic aggregation components`_\n   -  `Create a new aggregation pipeline example`_\n   -  `Original proposal and blueprint`_\n\nMonasca Transform\n=================\n\nmonasca-transform is a data driven aggregation engine which collects,\ngroups and aggregates existing individual Monasca metrics according to\nbusiness requirements and publishes new transformed (derived) metrics to\nthe Monasca Kafka queue.\n\n-  Since the new transformed metrics are published as any other metric\n   in Monasca, alarms can be set and triggered on the transformed\n   metric.\n\n-  Monasca Transform uses `Apache Spark`_ to aggregate data. `Apache\n   Spark`_ is a highly scalable, fast, in-memory, fault tolerant and\n   parallel data processing framework. All monasca-transform components\n   are implemented in Python and use Spark\u2019s `PySpark Python API`_ to\n   interact with Spark.\n\n-  Monasca Transform does transformation and aggregation of incoming\n   metrics in two phases.\n\n   -  In the first phase spark streaming application is set to retrieve\n      in data from kafka at a configurable *stream interval* (default\n      *stream_inteval* is 10 minutes) and write the data aggregated for\n      *stream interval* to *pre_hourly_metrics* topic in kafka.\n\n   -  In the second phase, which is kicked off every hour, all metrics\n      in *metrics_pre_hourly* topic in Kafka are aggregated again, this\n      time over a larger interval of an hour. These hourly aggregated\n      metrics published to *metrics* topic in kafka.\n\nUse Cases handled by Monasca Transform\n--------------------------------------\n\nPlease refer to **Problem Description** section on the\n`Monasca/Transform wiki`_\n\nOperation\n---------\n\nPlease refer to **How Monasca Transform Operates** section on the\n`Monasca/Transform wiki`_\n\nArchitecture\n------------\n\nPlease refer to **Architecture** and **Logical processing data flow**\nsections on the `Monasca/Transform wiki`_\n\nTo set up the development environment\n-------------------------------------\n\nThe monasca-transform uses `DevStack`_ as a common dev environment. See\nthe `README.md`_ in the devstack directory for details on how to include\nmonasca-transform in a DevStack deployment.\n\nGeneric aggregation components\n------------------------------\n\nMonasca Transform uses a set of generic aggregation components which can\nbe assembled in to an aggregation pipeline.\n\nPlease refer to the\n`generic-aggregation-components`_\ndocument for information on list of generic aggregation components\navailable.\n\nCreate a new aggregation pipeline example\n-----------------------------------------\n\nGeneric aggregation components make it easy to build new aggregation\npipelines for different Monasca metrics.\n\nThis create a `new aggregation pipeline`_ example shows how to create\n*pre_transform_specs* and *transform_specs* to create an aggregation\npipeline for a new set of Monasca metrics, while leveraging existing set\nof generic aggregation components.\n\nOriginal proposal and blueprint\n-------------------------------\n\nOriginal proposal: `Monasca/Transform-proposal`_\n\nBlueprint: `monasca-transform blueprint`_\n\n.. _Apache Spark: https://spark.apache.org\n.. _generic-aggregation-components: docs/generic-aggregation-components.md\n.. _PySpark Python API: https://spark.apache.org/docs/latest/api/python/index.html\n.. _Monasca/Transform wiki: https://wiki.openstack.org/wiki/Monasca/Transform\n.. _DevStack: https://docs.openstack.org/devstack/latest/\n.. _README.md: devstack/README.md\n.. _new aggregation pipeline: docs/create-new-aggregation-pipeline.md\n.. _Monasca/Transform-proposal: https://wiki.openstack.org/wiki/Monasca/Transform-proposal\n.. _monasca-transform blueprint: https://blueprints.launchpad.net/monasca/+spec/monasca-transform\n\n\n\n",
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