consolidate 2.0.0 release notes

docs/news/latest.rst

@@ -1,51 +1,36 @@
-New in 2.0b1
+New in 2.0.0
 ------------
 
+Pydoop 2.0.0 adds Python 3 and Hadoop 3 support, and features a complete
+overhaul of the ``mapreduce`` subpackage, which is now easier to use and more
+efficient. As any major software release, Pydoop 2 also makes some
+backwards-incompatible changes, mainly by dropping old, seldom-used
+features. Finally, it includes several bug fixes and performance
+improvements. Here is a more detailed list of changes:
+
+ * Python 3 support.
+ * Hadoop 3 support.
+ * The ``sercore`` extension, together with most of the ``pydoop.mapreduce``
+   subpackage, has been rewritten from scratch. Now it's simpler and slightly
+   faster (much faster when using a combiner).
+ * ``JobConf`` is now fully compatible with ``dict``.
  * ``pydoop submit`` now works when the default file system is local.
- * Many utilities for guessing details of the Hadoop environment have been
-   either removed or drastically simplified (affects ``hadoop_utils`` and
-   related package-level functions). Pydoop now assumes that the ``hadoop``
-   command is in the ``PATH``, and uses only that information to try fallback
-   values when ``HADOOP_HOME`` and/or ``HADOOP_CONF_DIR`` are not defined.
+ * Compilation of avro-parquet-based examples is now much faster.
+ * Many utilities for guessing Hadoop environment details have been either
+   removed or drastically simplified (affects ``hadoop_utils`` and related
+   package-level functions). Pydoop now assumes that the ``hadoop`` command is
+   in the ``PATH``, and uses only that information to try fallback values when
+   ``HADOOP_HOME`` and/or ``HADOOP_CONF_DIR`` are not defined.
  * The ``hadut`` module has been stripped down to contain little more than
    what's required by ``pydoop submit``. In particular, ``PipesRunner`` is
    gone. Running applications with ``mapred pipes`` still works, but with
    caveats (e.g., `it does not work on the local fs
    <https://issues.apache.org/jira/browse/MAPREDUCE-4000>`_, and controlling
-   the remote task environment is not trivial).
+   remote task environment is not trivial).
  * The ``hdfs`` module no longer provides a default value for ``LIBHDFS_OPTS``.
-
-
-New in 2.0a4
-------------
-
- * The ``sercore`` extension, together with most of the ``pydoop.mapreduce``
-   subpackage, has been rewritten from scratch. Now it's simpler and slightly
-   faster (much faster when using a combiner)
- * Opaque splits are now auto-deserialized  to ``context.input_split.payload``
- * ``JobConf`` is now fully compatible with ``dict``
- * Compilation of avro-parquet-based examples is now much faster
- * The Hadoop simulator has been dropped
- * Bug fixes and performance improvements
-
-New in 2.0a3
-------------
-
- * Support for Hadoop 3
- * `Support for opaque binary input splits <https://github.com/crs4/pydoop/pull/302>`_
- * Moved terasort example to https://github.com/crs4/pydoop-examples
-
-New in 2.0a2
-------------
-
- * Support for Amazon EMR
-
-New in 2.0a1
-------------
-
- * Added support for Python 3
- * `Dropped support for Hadoop 1 <https://github.com/crs4/pydoop/pull/237>`_
- * `Dropped old MapReduce API <https://github.com/crs4/pydoop/pull/255>`_
- * `Dropped JPype HDFS backend <https://github.com/crs4/pydoop/pull/238>`_
- * `Added Terasort example <https://github.com/crs4/pydoop/pull/250>`_
- * Bug fixes and performance improvements
+ * The Hadoop simulator has been dropped.
+ * `Support for opaque binary input splits <https://github.com/crs4/pydoop/pull/302>`_.
+ * `Dropped support for Hadoop 1 <https://github.com/crs4/pydoop/pull/237>`_.
+ * `Dropped old MapReduce API <https://github.com/crs4/pydoop/pull/255>`_.
+ * `Dropped JPype HDFS backend <https://github.com/crs4/pydoop/pull/238>`_.
+ * Bug fixes and performance improvements.