Hello community, here is the log from the commit of package ghc-amazonka-datapipeline for openSUSE:Factory checked in at 2017-03-24 02:11:11 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/ghc-amazonka-datapipeline (Old) and /work/SRC/openSUSE:Factory/.ghc-amazonka-datapipeline.new (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Package is "ghc-amazonka-datapipeline" Fri Mar 24 02:11:11 2017 rev:2 rq:461554 version:1.4.5 Changes: -------- --- /work/SRC/openSUSE:Factory/ghc-amazonka-datapipeline/ghc-amazonka-datapipeline.changes 2017-02-03 17:38:04.217566001 +0100 +++ /work/SRC/openSUSE:Factory/.ghc-amazonka-datapipeline.new/ghc-amazonka-datapipeline.changes 2017-03-24 02:11:12.688720666 +0100 @@ -1,0 +2,5 @@ +Sun Feb 12 14:14:07 UTC 2017 - psimons@suse.com + +- Update to version 1.4.5 with cabal2obs. + +------------------------------------------------------------------- Old: ---- amazonka-datapipeline-1.4.3.tar.gz New: ---- amazonka-datapipeline-1.4.5.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ ghc-amazonka-datapipeline.spec ++++++ --- /var/tmp/diff_new_pack.br7gx8/_old 2017-03-24 02:11:13.168652762 +0100 +++ /var/tmp/diff_new_pack.br7gx8/_new 2017-03-24 02:11:13.172652196 +0100 @@ -1,7 +1,7 @@ # # spec file for package ghc-amazonka-datapipeline # -# Copyright (c) 2016 SUSE LINUX GmbH, Nuernberg, Germany. +# Copyright (c) 2017 SUSE LINUX GmbH, Nuernberg, Germany. # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed @@ -19,7 +19,7 @@ %global pkg_name amazonka-datapipeline %bcond_with tests Name: ghc-%{pkg_name} -Version: 1.4.3 +Version: 1.4.5 Release: 0 Summary: Amazon Data Pipeline SDK License: MPL-2.0 @@ -41,38 +41,19 @@ %endif %description -AWS Data Pipeline configures and manages a data-driven workflow called a -pipeline. AWS Data Pipeline handles the details of scheduling and ensuring that -data dependencies are met so that your application can focus on processing the -data. AWS Data Pipeline provides a JAR implementation of a task runner called -AWS Data Pipeline Task Runner. AWS Data Pipeline Task Runner provides logic for -common data management scenarios, such as performing database queries and -running data analysis using Amazon Elastic MapReduce (Amazon EMR). You can use -AWS Data Pipeline Task Runner as your task runner, or you can write your own -task runner to provide custom data management. AWS Data Pipeline implements two -main sets of functionality. Use the first set to create a pipeline and define -data sources, schedules, dependencies, and the transforms to be performed on -the data. Use the second set in your task runner application to receive the -next task ready for processing. The logic for performing the task, such as -querying the data, running data analysis, or converting the data from one -format to another, is contained within the task runner. The task runner -performs the task assigned to it by the web service, reporting progress to the -web service as it does so. When the task is done, the task runner reports the -final success or failure of the task to the web service. - The types from this library are intended to be used with <http://hackage.haskell.org/package/amazonka amazonka>, which provides -mechanisms for specifying AuthN/AuthZ information and sending requests. +mechanisms for specifying AuthN/AuthZ information, sending requests, and +receiving responses. -Use of lenses is required for constructing and manipulating types. -This is due to the amount of nesting of AWS types and transparency regarding -de/serialisation into more palatable Haskell values. The provided lenses should -be compatible with any of the major lens libraries such as -<http://hackage.haskell.org/package/lens lens> or -<http://hackage.haskell.org/package/lens-family-core lens-family-core>. +Lenses are used for constructing and manipulating types, due to the depth of +nesting of AWS types and transparency regarding de/serialisation into more +palatable Haskell values. The provided lenses should be compatible with any of +the major lens libraries such as <http://hackage.haskell.org/package/lens lens> +or <http://hackage.haskell.org/package/lens-family-core lens-family-core>. See "Network.AWS.DataPipeline" or <https://aws.amazon.com/documentation/ the -AWS Documentation> to get started. +AWS documentation> to get started. %package devel Summary: Haskell %{pkg_name} library development files ++++++ amazonka-datapipeline-1.4.3.tar.gz -> amazonka-datapipeline-1.4.5.tar.gz ++++++ ++++ 2105 lines of diff (skipped)